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When do limits on majorities enhance democratic rule, and when do they undermine it? Join Nic Cheeseman as he talks to Steven Levitsky and Daniel Ziblatt, well-known as authors of the best-selling book How Democracies Die, about their new framework for understanding when the best way to protect democracy is to constrain the wishes of the majority, and when we need to empower them. Lumping all majoritarian measures into the same category, they argue, can lead us to preserve and prescribe outdated and undemocratic institutions that distort political competition and may undermine democratic legitimacy. So does saving democracy actually depend on the recognition that while special protections for powerful minorities may have helped to secure the historical passage to democracy, today the healthiest democracies empower majorities? This episode is based on Steven Levitsky and Daniel Ziblatt's article “When Should the Majority Rule?” that was published in the January 2025 issue of the Journal of Democracy, and is part of an ongoing partnership between the Journal of Democracy and the People, Power, Politics podcast. A transcript is available for download here. Steven Levitsky is Professor of Government at Harvard University and the co-author of How Democracies Die (2018), which won the Lionel Gelber Prize and the Arthur Ross Book Award. A leading scholar of authoritarianism and democratic backsliding, his earlier works include Competitive Authoritarianism: Hybrid Regimes After the Cold War (2010). Levitsky directs Harvard's David Rockefeller Center for Latin American Studies and served as Vice Provost for International Affairs. He has received a Guggenheim Fellowship and the Karl Deutsch Award for his contributions to comparative politics. His research spans Latin American politics, party systems, and informal institutions, influencing both academic debate and public discourse on democracy's challenges. Daniel Ziblatt is Eaton Professor of the Science of Government at Harvard University and co-author of How Democracies Die (2018), which won the Lionel Gelber Prize and the Arthur Ross Book Award. His book Conservative Advantage (2017) received the Luebbert Prize for the Best Book on Comparative Politics. Ziblatt's research explores democratic durability and party systems, especially in Europe. He serves as Co-Director of Harvard's Center for European Studies and holds a Guggenheim Fellowship. His work has significantly influenced understandings of conservative parties' roles in sustaining democracy and the threats posed by their erosion. Nic Cheeseman is the Professor of Democracy and International Development at the University of Birmingham and Founding Director of CEDAR. The People, Power, Politics podcast brings you the latest insights into the factors that are shaping and re-shaping our political world. It is brought to you by the Centre for Elections, Democracy, Accountability and Representation (CEDAR) based at the University of Birmingham, United Kingdom. Join us to better understand the factors that promote and undermine democratic government around the world and follow us on Twitter at @CEDAR_Bham! Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network
When do limits on majorities enhance democratic rule, and when do they undermine it? Join Nic Cheeseman as he talks to Steven Levitsky and Daniel Ziblatt, well-known as authors of the best-selling book How Democracies Die, about their new framework for understanding when the best way to protect democracy is to constrain the wishes of the majority, and when we need to empower them. Lumping all majoritarian measures into the same category, they argue, can lead us to preserve and prescribe outdated and undemocratic institutions that distort political competition and may undermine democratic legitimacy. So does saving democracy actually depend on the recognition that while special protections for powerful minorities may have helped to secure the historical passage to democracy, today the healthiest democracies empower majorities? This episode is based on Steven Levitsky and Daniel Ziblatt's article “When Should the Majority Rule?” that was published in the January 2025 issue of the Journal of Democracy, and is part of an ongoing partnership between the Journal of Democracy and the People, Power, Politics podcast. A transcript is available for download here. Steven Levitsky is Professor of Government at Harvard University and the co-author of How Democracies Die (2018), which won the Lionel Gelber Prize and the Arthur Ross Book Award. A leading scholar of authoritarianism and democratic backsliding, his earlier works include Competitive Authoritarianism: Hybrid Regimes After the Cold War (2010). Levitsky directs Harvard's David Rockefeller Center for Latin American Studies and served as Vice Provost for International Affairs. He has received a Guggenheim Fellowship and the Karl Deutsch Award for his contributions to comparative politics. His research spans Latin American politics, party systems, and informal institutions, influencing both academic debate and public discourse on democracy's challenges. Daniel Ziblatt is Eaton Professor of the Science of Government at Harvard University and co-author of How Democracies Die (2018), which won the Lionel Gelber Prize and the Arthur Ross Book Award. His book Conservative Advantage (2017) received the Luebbert Prize for the Best Book on Comparative Politics. Ziblatt's research explores democratic durability and party systems, especially in Europe. He serves as Co-Director of Harvard's Center for European Studies and holds a Guggenheim Fellowship. His work has significantly influenced understandings of conservative parties' roles in sustaining democracy and the threats posed by their erosion. Nic Cheeseman is the Professor of Democracy and International Development at the University of Birmingham and Founding Director of CEDAR. The People, Power, Politics podcast brings you the latest insights into the factors that are shaping and re-shaping our political world. It is brought to you by the Centre for Elections, Democracy, Accountability and Representation (CEDAR) based at the University of Birmingham, United Kingdom. Join us to better understand the factors that promote and undermine democratic government around the world and follow us on Twitter at @CEDAR_Bham! Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/political-science
The Do One Better! Podcast – Philanthropy, Sustainability and Social Entrepreneurship
Professor Jack Shonkoff, Founding Director of Harvard University's Center on the Developing Child and Director of Connecting Science + Community, joins for a powerful conversation about the future of early childhood development (ECD). He reflects on decades of progress in making science actionable for policymakers, service providers and advocates; and shares why the next frontier must focus on the environments where families live. From poverty and housing to access to nutritious food, clean water and social capital, Shonkoff explains why community context is the missing piece in ensuring children everywhere can thrive. Key topics explored in this episode: Why ECD is a moral imperative and a foundation for a healthy, sustainable society How science — from neuroscience to immunology — is reshaping our understanding of child development Why one-size-fits-all programs fail, and how solutions must adapt to local contexts The misaligned incentives in philanthropy, evaluation and policymaking that slow progress How Connecting Science + Community is bridging research and grassroots action, with early examples of U.S. cities tackling housing, jobs and equity for children Why being “constructively dissatisfied” is essential for the field to keep advancing Professor Shonkoff emphasizes that while the early childhood field has already transformed millions of lives worldwide, the work is far from finished. Real impact will come from smarter strategies, stronger communities and a commitment to caring not only for our children but for all children. Visit our Knowledge Hub at Lidji.org for information on 300 case studies and interviews with remarkable leaders in philanthropy, sustainability and social entrepreneurship.
W. Richard West Jr.. my guest on the podcast is the Founding Director of the Smithsonian Museum of the American Indian .A citizen of the Cheyenne and Arapaho Tribes and a member of the Society of Southern Cheyenne Peace Chiefs, first among equals of the warrior societies among the Cheyenne and central to the governing of the nation on the Council of 44. Where he follows on the paths trod by the great Black Kettle, Dull Knife (aka Morning Star), Lean Bear, Little Wolf and Porcupine, among many others.Richard West was appointed to be the founding director of the National Museum of the American Indian in 1990. He was formally named to the position on May 21, 1990. Following his retirement from the Smithsonian he was asked, and accepted, a role as CEO of the Autry Museum of the American West. A role that certainly challenged Rick to bust a lot of myths and lead him to be acclaimed as a leader who "helped shift the love-hate dynamic between Indigenous people and museums"Though he is modest about this, sharing the credit among his colleagues, Rich was a major force at both the Smithsonian and Autry for steering the mission of the modern museum to a space of collaboration, education, community building and mutual understanding.
In an extended version of the programme that was broadcast, Melvyn Bragg and guests discuss the influential book John Maynard Keynes wrote in 1919 after he resigned in protest from his role at the Paris Peace Conference. There the victors of World War One were deciding the fate of the defeated, especially Germany and Austria-Hungary, and Keynes wanted the world to know his view that the economic consequences would be disastrous for all. Soon Germany used his book to support their claim that the Treaty was grossly unfair, a sentiment that fed into British appeasement in the 1930s and has since prompted debate over whether Keynes had only warned of disaster or somehow contributed to it. With Margaret MacMillan Emeritus Professor of International History at the University of Oxford Michael Cox Emeritus Professor of International Relations at the London School of Economics and Founding Director of LSE IDEAS And Patricia Clavin Professor of Modern History at the University of Oxford Producer: Simon Tillotson Reading list: Manfred F. Boemeke, Gerald D. Feldman and Elisabeth Glaser (eds.), The Treaty of Versailles: A Reassessment after 75 Years (Cambridge University Press, 1998) Zachary D. Carter, The Price of Peace: Money, Democracy and the Life of John Maynard Keynes (Random House, 2020) Peter Clarke, Keynes: The Twentieth Century's Most Influential Economist (Bloomsbury, 2009) Patricia Clavin et al (eds.), Keynes's Economic Consequences of the Peace after 100 Years: Polemics and Policy (Cambridge University Press, 2023) Patricia Clavin, ‘Britain and the Making of Global Order after 1919: The Ben Pimlott Memorial Lecture' (Twentieth Century British History, Vol. 31:3, 2020) Richard Davenport-Hines, Universal Man; The Seven Lives of John Maynard Keynes (William Collins, 2015) R. F. Harrod, John Maynard Keynes (first published 1951; Pelican, 1972) Jens Holscher and Matthias Klaes (eds), Keynes's Economic Consequences of the Peace: A Reappraisal (Pickering & Chatto, 2014) John Maynard Keynes (with an introduction by Michael Cox), The Economic Consequences of the Peace (Palgrave Macmillan, 2019) Margaret MacMillan, Peacemakers: Six Months that Changed the World (John Murray Publishers, 2001) Etienne Mantoux, The Carthaginian Peace or the Economic Consequences of Mr. Keynes (Oxford University Press, 1946) D. E. Moggridge, Maynard Keynes: An Economist's Biography (Routledge, 1992) Alan Sharp, Versailles 1919: A Centennial Perspective (Haus Publishing Ltd, 2018) Robert Skidelsky, John Maynard Keynes, 1883-1946 (Pan Macmillan, 2004) Jürgen Tampke, A Perfidious Distortion of History: The Versailles Peace Treaty and the Success of the Nazis (Scribe UK, 2017) Adam Tooze, The Deluge: The Great War, America and the Remaking of the Global Order, 1916-1931 (Penguin Books, 2015) Spanning history, religion, culture, science and philosophy, In Our Time from BBC Radio 4 is essential listening for the intellectually curious. In each episode, host Melvyn Bragg and expert guests explore the characters, events and discoveries that have shaped our world.
America is reeling and the world is shocked after conservative youth activist - and staunch Trump ally - Charlie Kirk was assassinated. Acts of violence such as these are not isolated, or unique to one side of the political aisle. Martin Luther King III has experienced this violence firsthand as the son of the civil rights icon who was assassinated in 1968. He joins the show from Atlanta. Also on today's show: Cynthia Miller-Idriss, Founding Director, Polarization and Extremism Research Innovation Lab at American University; British artist Jenny Saville; author Dan Wang ("Breakneck") Learn more about your ad choices. Visit podcastchoices.com/adchoices
Success in virtually every aspect of life―career, friendship, love, and family―is determined mainly by one thing: how we deal with emotions. In your most challenging moments, how did you respond? Did you fly off the handle? Were you paralyzed by indecision? Did you engage in behaviors that undermined your best intentions? Or did you exhibit grace under pressure and flourish? How you responded likely shaped what happened next. The good news? We all have the power to decide how we will respond to what life throws at us. Marc Brackett, Founding Director of the Yale Center for Emotional Intelligence and author of the new book Dealing With Feeling: Use Your Emotions to Create the Life You Want is back on the show today.Together we'll explore how can begin to harness this power.The first step being the practice of acceptance.A message that in many ways is at the heart of Marc's work.It's a move that recognizes there are no bad emotions―only emotions we don't understand or know how to direct in positive, intentional ways.And secondly,That we must go beyond acceptance. Dealing with our feelings involves a set of skills and strategies that must belearned, practiced, and refined over a lifetime.When we do,We open the door to becoming the best version of ourselves and lifting others up around us.For more on Marc, his books, research, live events, and other work please visit marcbrackett.comDid you find this episode inspiring? Here are other conversations we think you'll love:To Feel is to Be Human | Marc BrackettOn the Science, and Magic, of Great Conversations | Alison Wood BrooksEnjoying the show? Please rate it wherever you listen to your podcasts!Thanks for listening!Support the show
Sales Game Changers | Tip-Filled Conversations with Sales Leaders About Their Successful Careers
This is episode 788. Read the complete transcription on the Sales Game Changers Podcast website. This is a special episode of the “Office Hours – Sales Professors Unplugged Podcast.” The show feature interviews with sales professors at universities with a sales excellence programs. Many of the universities are members of the University Sales Center Alliance. Watch the interview on YouTube here. The Sales Game Changers Podcast was recognized by YesWare as the top sales podcast. Read the announcement here. FeedSpot named the Sales Game Changers Podcast at a top 20 Sales Podcast and top 8 Sales Leadership Podcast! Subscribe to the Sales Game Changers Podcast now on Apple Podcasts! Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! Today's show is a special “Office Hours – Sales Professors Unplugged” episode featuring Dr. Darin White, Founding Director, Sports Industry Program at Samford University, and Dr. Clif Eason, Director, Professional Sales Program at Samford. Find Dr. White on LinkedIn. Find Dr. Eason on LinkedIn. DR. WHITE'S TIP: “Relationships are never going to go out of style. No matter how much AI or technology we get, having the ability to build authentic, caring, servant-oriented relationships is everything.” DR. EASON'S TIP: “We've built our curriculum not to teach students how to sell a product, but to teach students how to communicate effectively and persuasively, and hopefully build those skills of resilience and work ethic along the way.”
Feliks Banel's guest on this BONUS EPISODE of CASCADE OF HISTORY is Howard Lovering, Founding Director of The Museum of Flight in Seattle, who also authored a history of the museum in 2016 called “For Future Generations.” Mr. Lovering will present a special program on Saturday, September 13, 2025 at 11:00 a.m. at the museum. The Museum of Flight is marking its 60th anniversary this weekend with special events on Saturday, September 13 and Sunday, September 14, 2025. Mr. Lovering previewed his history program, and went deep on the early days of the Pacific Northwest Aviation Historical Foundation which preceded the museum, and on the work he did – first as a Loaned Executive from Boeing in 1975, and then as the museum's first director in 1977. For more information about Museum of Flight 60th anniversary activities: https://www.museumofflight.org/exhibits-and-events/calendar-of-events/8265/the-museum-of-flights-60th-anniversary-celebration For more information on Howard Lovering's book "For Future Generations": https://www.museumofflightstore.org/for-future-generations-a-history-of-the-museum.html?srsltid=AfmBOorY5fZjiyhc9S6ikZ62aFM81DyI315xgz0GsqgVJdFDJkL6DkAT CASCADE OF HISTORY is broadcast LIVE most Sunday nights at 8pm Pacific Time via SPACE 101.1 FM in Seattle and gallantly streams everywhere via www.space101fm.org. The radio station broadcasts from studios at historic Magnuson Park – located in the former Master-at-Arms' quarters in the old Sand Point Naval Air Station - on the shores of Lake Washington in Seattle. Subscribe to the CASCADE OF HISTORY podcast via most podcast platforms and never miss regular weekly episodes of Sunday night broadcasts as well as frequent bonus episodes.
Carl Turner, founder of Turner Works, talks to Rachel and Louise about the thinking behind his year-long sabbatical. How did he prepare for it, what did he do with it, and what's next for Turner Works?Coaches On The Couch is co-hosted by Louise Rodgers and Rachel Birchmore who are exec and leadership coaches. They design and deliver bespoke leadership development programmes and coaching for architects, engineers and other consultancies across the built environment. For more information, please visit www.StepUpLondon.com
RPI's computing guru Jim Hendler says it's not artificial intelligence we have to worry about -- it's the people using AI that you have to watch out for. And those people. include tech bros after profits and a president out to win political points. Jim Hendler holds the impressive titles of Tetherless World Professor of Computer, Web and Cognitive Sciences at Rensselaer. Polytechnic Institute and Founding Director of the Institute for Data, Artificial Intelligence and Computing. He also is the director of the RPI-IBM Artificial Intelligence Research Collaboration. He is a data scientist with interests in open government and scientific data, data science for healthcare, AI and machine learning, semantic data integration and the use of data in government. He has authored more than 450 books, technical papers, and articles.
Rosemary Armao's podcast has been renamed Beyond the Brink. RPI's computing guru Jim Hendler says it's not artificial intelligence we have to worry about -- it's the people using AI that you have to watch out for. And those people. include tech bros after profits and a president out to win political points. Jim Hendler holds the impressive titles of Tetherless World Professor of Computer, Web and Cognitive Sciences at Rensselaer. Polytechnic Institute and Founding Director of the Institute for Data, Artificial Intelligence and Computing. He also is the director of the RPI-IBM Artificial Intelligence Research Collaboration. He is a data scientist with interests in open government and scientific data, data science for healthcare, AI and machine learning, semantic data integration and the use of data in government. He has authored more than 450 books, technical papers, and articles.
In this powerful episode, we're joined by Dr. Wendy G. Lichtenthal, a leading expert in grief and bereavement care. Dr. Lichtenthal is the Founding Director of the Center for the Advancement of Bereavement Care at the Sylvester Comprehensive Cancer Center and Professor at the University of Miami Miller School of Medicine. A licensed clinical psychologist with over 20 years of experience, she brings deep compassion and groundbreaking research to the field of psychosocial oncology.We discuss the complexities of grief after cancer loss, the evolving nature of bereavement care, and how clinicians and caregivers can better support those navigating life after loss. Dr. Lichtenthal also shares insights from her work developing Meaning-Centered Grief Therapy and the EMPOWER intervention — both designed to help individuals find meaning and resilience in the face of profound sorrow.Whether you're a healthcare professional, a grieving loved one, or someone seeking to better understand bereavement, this conversation offers validation, hope, and expert guidance.ABOUT OUR GUEST: Wendy G. Lichtenthal, PhD Wendy G. Lichtenthal, PhD, FT, FAPOS is founding director of the Center for the Advancement of Bereavement Care at the Sylvester Comprehensive Cancer Center and Professor in the Department of Public Health Sciences, Division of Prevention Science and Community Health at the University of Miami Miller School of Medicine, which she joined in 2023. She is a licensed clinical psychologist and has worked as a grief specialist for over 20 years. In 2005, she began her career at Memorial Sloan Kettering Cancer Center (MSK) in New York City, where she was Founding Director of the Bereavement Clinic and Associate Attending Psychologist, and where she now serves as Consultant Faculty. She was a recipient of the 2012 International Psycho-Oncology Society Kawano New Investigator Award, the 2019 Association for Death Education and Counseling Research Recognition Award, and the 2023 American Psychosocial Oncology Society Outstanding Clinical Care Award. She is a Fellow in Thanatology and was elected a Fellow of the American Psychosocial Oncology Society in 2024. Her federally funded research has been supported by the National Institute of Mental Health, National Cancer Institute, National Institute of Nursing Research, American Cancer Society, T.J. Martell Foundation, and MSK's Cycle for Survival and has focused on grief and bereavement, cancer survivorship, intervention development and evaluation, and finding meaning in the face of adversity. She is an inventor of the Meaning-Centered Grief Therapy and EMPOWER intervention manuals that are used in her research.
If you believe college costs are non-negotiable—or that you can't haggle with a university—this episode will change everything. In this episode of Sharkpreneur, Seth Greene interviews Paul Celuch, Co-Founder of College Assistance Plus, and John Decker, a Founding Director of Every Student Sent. They are dedicated to helping families lower student debt, secure better college offers, and guide students toward purpose-driven careers. With experience in executive leadership, nonprofit work, and real-world college admissions strategies, Paul and John have created a proven system to help families navigate the college process from start to finish—without overspending. From uncovering little-known negotiating tactics to preparing students for interviews that win scholarships, they assist families in not just getting in—but graduating with a degree, a clear direction, and minimal debt. Key Takeaways: → Why impersonal financial aid offers are just a starting point. → How understanding the business of college leads to better offers. → The critical importance of choosing a major before choosing a school. → What colleges don't tell you about how they fill class gaps. → Why GPA and essays matter less than you think in the negotiation process. Paul Celuch is a seasoned sales and marketing executive with over 15 years at IBM and successful leadership roles at MCI Telecommunications, Rochester Telephone, Intermedia Communications, Coyote Technologies, and Mpower. With 20 years in telecommunications, Paul also served as President, CEO, and Co-Owner of Lanier Office Equipment in Western NY, and operated his own Executive Search firm. In 2004, he co-founded College Assistance Plus to help families minimize college costs, assisting over 6,000 students nationwide. Paul is also an active community leader, serving as a Deacon at Lima Baptist Church and President of the Board at Lima Christian School. He has been a member of the Parent Boards at Messiah College and Gordon College. John Decker is a business development professional with over 16 years of experience at College Assistance Plus, where he helps families prepare financially and strategically for college. With a background in aerospace and fiber optics, John worked at top companies like Lockheed Martin and Philips for 27 years, holding roles such as Contract Manager, Product Manager, and Director of Business Development. A graduate of Syracuse University, John is a founding director of the nonprofit Every Student Sent, which helps students start college with purpose and support. He is also a past president of the Businessmen's Fellowship chapter in Syracuse. John lives in Syracuse, NY, with his wife, three children, and eight grandchildren. Connect With Paul and John: Website LinkedIn Learn more about your ad choices. Visit megaphone.fm/adchoices
Associate Professor and Founding Director of The Race, Politics, and Policy Center at George Mason University, Dr Michael K. Fauntroy gives his perspective on how Trump's war on Black America isn't an accident but a strategy, along with other trending political topics. Become a supporter of this podcast: https://www.spreaker.com/podcast/tavis-smiley--6286410/support.
Send us a textDr. Sompop Bencharit earned his DDS and Diploma in Prosthodontics from Chulalongkorn University in Bangkok, Thailand. He furthered his education at the University of North Carolina at Chapel Hill (UNC), where he obtained a Certificate and Master's Degree in Prosthodontics, a PhD in Oral Biology, and a Certificate in Clinical Research. He is a Diplomate of the American Board of Prosthodontics and a Fellow of the American College of Prosthodontists (ACP), the Pierre Fauchard Academy, and the International College of Dentists.Dr. Bencharit was most recently Professor, Associate Dean for Innovation, and Chief Innovation Officer at the Workman School of Dental Medicine, High Point University. Previously, he served as a Professor and Assistant Dean for Innovation and the Founding Chair of the Department of Reconstructive and Rehabilitation Sciences at the Medical University of South Carolina (MUSC) College of Dental Medicine. Dr. Bencharit was the Founding Director of Digital Dentistry Technologies and Director of Clinical Research at Virginia Commonwealth University (VCU).✨Connect with Dr. Bencharit on LinkedIn: https://www.linkedin.com/in/sompop-bencharit-734b8245/
Business law may not be the most glamorous part of running an Allied Health business — but it's one of the most crucial. In this re-run episode, Founding Director of Pidcock Law, Nicholas Pidcock will demystify the legal landscape for Allied Health Business Owners. It's time to explore why proactive legal relationships matter, how to avoid costly mistakes, and what to prioritise in those early years of business. Nicholas shares his wealth of experience across business law, breaking down common pain points and showing owners how to protect their business, their people, and their peace of mind. Topics covered on start-ups, contracts and employment, leases and insurance: Start-ups done right – Proactive legal check-ins, choosing the right entity (sole trader vs company), and building solid foundations early. Contracts & employment – Service agreements that fit your practice (not templates), employees vs contractors, and what to include in employment agreements. Leases & insurance – What you're really signing (directors' guarantees, disclosure statements) and the must-have cover: PI, public liability, business interruption, and personal protection. P.S. Need a little extra support on your business journey? Whether you're navigating challenges or looking to reach new goals, we're here to support your growth. Book a Complimentary Power Call with us, and let's talk about how we can help you achieve your vision for your Allied Health business.Midroll Message: Calling all Allied Health sole traders, this is the masterclass sole traders you have been waiting for. Learn more about The Sole Trader's Success Guide Masterclass. Connect with Nacre Consulting: Let's connect on Instagram Follow us on Facebook Let's connect on LinkedIn Join our Facebook Group online community More about The Allied Health Business Brilliance Podcast: The Allied Health Business Brilliance podcast (previously known as Private Practice Made Perfect) powered by Nacre Consulting features authentic conversations that offer real-life stories and expert perspectives for Australian Allied Health Business Owners. Cathy Love, our engaging host, gathers wisdom from Allied Health professionals and industry supporters alike. We dive into the real experiences of running and growing Allied Health businesses in Australia, revealing both the rewards and the inevitable challenges along the way. It's...
Questcorp Mining (CSE: QQQ | OTCQB: QQCMF | FSE: D910) has kicked off its maiden drilling program at the La Union Gold and Silver Project in Sonora, Mexico. The first-ever drilling on this property is targeting a carbonate replacement deposit system, with Riverside Resources as the operating partner.Founding Director, President, & CEO Saf Dhillon shares why La Union is such a promising location, details the first-phase drill program, and explains what makes Riverside the ideal partner for advancing the project.He also shares an update on the North Island Copper Property in British Columbia, where the company is awaiting permits before moving forward with development.Could these two projects position Questcorp for its next big discovery? Watch the full interview for insights.Learn more about Questcorp Mining: https://questcorpmining.ca/Watch the full YouTube interview here: https://youtu.be/Vv6Fv3BOPcMAnd follow us to stay updated: https://www.youtube.com/@GlobalOneMedia?sub_confirmation=1
Episode 78 of ‘All About Art': Redefining Artist Management with Valeria Szabó Facchin, Founder of Studio ExpandedIn this episode, I sat down with Valeria Szabó Facchin, Founder of Studio Expanded, a new artist management agency redefining the art ecosystem.I speak to Valeria about her previous professional experiences, notably as Founding Director of the Nicoletta Fiorucci Foundation and how this impacts how she approaches business now. We delve into what it means to be an artist manager - from choosing the artists she works with, to liaising with partners and developing sustainable strategies for the creatives on her roster. We speak about the importance of understanding everything about an artist's career and practice when working with them, to thinking about potential collaborations and opportunities for them, and so much more.Thank you Valeria for coming on the podcast! You can follow Studio Expanded on Instagram here: https://www.instagram.com/studio_expanded_/You can check out Studio Expanded here: https://www.studioexpanded.com/YOU CAN SUPPORT ALL ABOUT ART ON PATREON HERE: https://www.patreon.com/allaboutartFOLLOW ALL ABOUT ART ON INSTAGRAM HERE: https://www.instagram.com/allaboutartpodcast/ ABOUT THE HOST:I am an Austrian-American art historian, curator, and writer. I obtained my BA in History of Art at University College London and my MA in Arts Administration and Cultural Policy at Goldsmiths, University of London. My specializations are in contemporary art and the contemporary art market along with accessibility, engagement, and the demystification of the professional art sector.Here are links to my social media, feel free to reach out:Instagram @alexandrasteinacker Twitter @alex_steinackerand LinkedIn at Alexandra Steinacker-ClarkThis episode is produced at Synergy https://synergy.tech/the-clubhouse/the-podcast-studio/ COVER ART: Lisa Schrofner a.k.a Liser www.liser-art.com and Luca Laurence www.lucalaurence.com Episode Production: Paul Zschornack
This week on Swimming with Allocators, Earnest and Alexa welcome Vishnu Amble, Founding Director, Trustee, and Investment Committee Member at GreenBear Group. Vishnu shares insights from his global investment career, discussing his transition from traditional finance to leading a mission-driven family office. The conversation explores the importance of building strong networks, lessons from backing both startups and fund managers, and the critical role of alignment and long-term relationships between LPs and GPs. Vishnu also highlights the impact of technology and outsourcing on investment efficiency, offers perspectives on energy and infrastructure trends, and emphasizes the need for persistence, clear objectives, and risk management. Key takeaways include the value of genuine partnerships, adapting to market cycles, the continued opportunities within the US innovation landscape, and more. Highlights from this week's conversation include:Vishnu's Career Journey: From Engineering to Finance (1:13)Global Perspective & LP Value Proposition (4:14)Manager Selection & Partnership Approach (6:31)LP Community & Tech Solutions (10:37)Diligence & Risk Tolerance Evolution (12:18)What Vishnu Looks for in Fund Managers (14:00)Fundraising Challenges in Thematic Funds (16:19)LP Alignment & Fund Composition (20:00)Building Relationships in the Age of AI (23:13)Tech, Costs, and Human Capital (24:18)Opportunities for Early Stage Investors (27:18)Historical Lessons & U.S. Market Endurance (28:55)Final Thoughts and Takeaways (31:06)GreenBear Group LLC is a single-family investment office and mission-driven philanthropic organization focused on fund partnerships, direct investments, and GP seeding. With over 20 years of global experience and deep conviction in values-aligned capital, GreenBear supports exceptional fund managers and founders advancing economic access, sustainability, and innovation.Silicon Valley Bank (SVB), a division of First Citizens Bank, is the bank of the world's most innovative companies and investors. SVB provides commercial and private banking to individuals and companies in the technology, life science and healthcare, private equity, venture capital and premium wine industries. SVB operates in centers of innovation throughout the United States, serving the unique needs of its dynamic clients with deep sector expertise, insights and connections. SVB's parent company, First Citizens BancShares, Inc. (NASDAQ: FCNCA), is a top 20 U.S. financial institution with more than $200 billion in assets. First Citizens Bank, Member FDIC. Learn more at svb.com.Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies. The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only.
August 27, 2025 ~ Dr. Dongxiao Zhu, Professor and Founding Director of Wayne AI Research Initiative at Wayne State University, joins Kevin to discuss First Lady Melania Trump's Presidential AI Challenge.
Dr. Laura welcomes Dr. Esther Sternberg, M.D., a Professor, Research Director, Speaker, and Author of the books Well at Work, Healing Spaces, and The Balance Within, to the podcast to talk about wellness at work and how workplace environments impact employees. Dr. Sternberg shares her career journey from her start in medical family practice through to becoming the Research Director at the Andrew Weil Center of Integrative Medicine. She and Dr. Laura talk about what factors impact health and overall wellness at work and how these can be improved.Dr. Sternberg delves into the insights in her book Well at Work and explains the seven domains of integrative health as defined by the Andrew Weil Center for Integrative Medicine. Sleep, resilience, environment, movement, relationships, spirituality, and nutrition are the seven domains, and they include things like how quickly we bounce back from stress, how clean our air is, and access to nature. Dr. Laura and Dr. Sternberg examine how office design, environmental location, common spaces that encourage relationships, and even temperature all play a key role in our workplace health. The conversation sheds light on how work isn't simply a place to invest time into productivity, but can positively or negatively impact our overall lives, and how redefining workplaces is a vital part of future discussions. “... if you're feeling too stressed or too activated, you want to do something that will tone down that stress response so you can perform at peak... If you're too stressed, you freeze, you're unable to focus. You're unable to do the job, the task at hand. So what helps you to move that stress response from the extreme danger zone back to performing at peak is places where you can go offline a little bit, where you can effectively meditate even though you're not sitting there with crossed legs in a lotus position in a yoga studio, although having spaces where some people can do that is is also beneficial. But a space, for example, [like] the gardens. To just walk in the gardens, to just take your brain off the computer for a while and focus on the green, on the plants.” - Dr. Esther SternbergAbout Dr. Esther Sternberg, M.D.:Dr. Esther Sternberg is internationally recognized for her discoveries in the science of the mind-body interaction in illness and healing, and the role of place in wellbeing. She is a pioneer and major force in collaborative initiatives on mind-body-stress-wellness and environment interrelationships. A dynamic speaker, she engages her audience with passion for her subject and compassion as a physician. Through stories, she provides listeners with many take-home tips to help them cope with stress and thrive, and to create wellbeing spaces wherever they work or live. Dr. Sternberg's three popular, highly readable, informative, and scientifically based books are inspirations for lay persons and professionals alike, seeking answers to the complexities and 21st-century frontiers of stress, place, healing, and wellness. Her award-winning book, WELL at WORK: Creating Wellbeing in Any Workspace (Little, Brown Spark, 2023) was named a Top Ten Lifestyle Book for Fall 2023 by Publishers Weekly and received the OWL (Outstanding Works of Literature) Longlist Award. Her two previous science-for-the-lay public books, Healing Spaces: The Science of Place and Well-Being and The Balance Within: The Science Connecting Health and Emotions, are landmark in its field. Healing Spaces was recognized by the President of the American Institute of Architects as an inspiration for launching the AIA's Design and Health Initiative and has inspired the implementation of healing spaces in hospitals across the country and around the world. Currently, Research Director, Andrew Weil Center for Integrative Medicine and Founding Director of the University of Arizona Institute on Place, Wellbeing & Performance, she holds the Inaugural Andrew Weil Chair for Research in Integrative Medicine and is a Research Professor of Medicine with joint appointments as Professor in Psychology, Architecture, and Planning & Landscape Architecture, and in the College of Agriculture and Life Sciences, School of Nutritional Sciences and Wellness. As Senior Scientist and Section Chief, National Institutes of Health (1986-2012), she directed the NIH Integrative Neural Immune Program, Co-Chaired the NIH Intramural Program on Research on Women's Health, and chaired a subcommittee of the NIH Central Tenure Committee. Dr. Sternberg has advised the World Health Organization; the U.S. National Academies of Sciences, Engineering and Medicine; the International WELL Building Institute; the Royal Society, London; the Vatican, where she was presented to Pope Benedict XVI; and has briefed high-level U.S. Federal Government officials, including the Surgeon General, National Institutes of Health leadership, and the Department of Defence. Her two decades-long research with the U.S. General Services Administration, using wearable devices to track health and wellbeing in the built office environment, is informing healthy design standards and COVID re-entry across the federal government and the private sector.Among other honors, she moderated a panel with the Dalai Lama, was recognized by the National Library of Medicine as one of the women who “Changed the Face of Medicine,” served as a member and Chair of NLM's Board of Regents, and received an Honorary Doctorate in Medicine from Trinity College, Dublin, on its 300th Anniversary. She has authored over 240 scholarly articles, edited 10 technical books on the topic of brain-immune connections and design and health, and writes a monthly blog for Psychology Today, it has garnered tens of thousands of readers on subjects including stress and illness, gratitude and wellness, and place and wellbeing. She co-created and hosted the PBS Television Special, The Science of Healing with Dr. Esther Sternberg, and is frequently interviewed in the lay press and media, including NPR, BBC, CBC radio; PBS, ABC, CBS 60 Minutes, Overtime television, the Washington Post, LA Times, U.S. News and World Report, Reader's Digest, Prevention Magazine, The Oprah Magazine, and numerous podcasts, among others. She received her M.D. from McGill University, and trained in rheumatology at the Royal Victoria Hospital, Montreal, Canada.Resources:Website: EstherSternberg.comBook: “Well at Work: Creating Wellbeing in any Workspace” by Esther M. Sternberg, MDInstagram: @dresternbergLinkedInLearn more about Dr. Laura on her website: https://drlaura.liveFor more resources, look into Dr. Laura's organizations: Canada Career CounsellingSynthesis Psychology
The Food and Drug Administration or FDA regulates roughly 78% of the US food supply. This includes packaged products, food additives, infant formula, ultra-processed foods, and lots more. However, an analysis by the Environmental Working Group found that 99% of new food ingredients enter our food supply through a legal loophole that skirts FDA oversight and seems, to me at least, to be incredibly risky. Today we're speaking with two authors of a recent legal and policy analysis published in the Journal Health Affairs. They explain what this loophole is and its risks and suggest a new user fee program to both strengthen the FDA's ability to regulate food ingredients and address growing concerns about food safety. Our guests are Jennifer Pomeranz Associate Professor of Public Health Policy and Management at New York University School of Global Public Health and Emily Broad, director of Harvard Law School Center for Health Law and Policy Innovation. Interview Summary So Jennifer, let's start with you, help our listeners understand the current situation with food ingredient oversight. And what is this legal loophole that allows food companies to add new ingredients without safety reviews. Sure. So, Congress passed the Food Additives Amendment in 1958, and the idea was to divide food additives and generally recognized as safe ingredients into two different categories. That's where the GRAS term comes from generally recognized as safe? ‘Generally Recognized As Safe' is GRAS. But it circularly defines food additives as something that's not GRAS. So, there's not actually a definition of these two different types of substances. But the idea was that the food industry would be required to submit a pre-market, that means before it puts the ingredient into the marketplace, a pre-market petition to the FDA to review the safety. And then the FDA promulgates a regulation for safe use of a food additive. GRAS ingredients on the other hand, initially thought of as salt, pepper, vinegar, are things like that would just be allowed to enter the food supply without that pre-market petition. The problem is the food industry is the entity that decides which category to place each ingredient. There's no FDA guidance on which category they're supposed to ascribe to these ingredients. What has happened is that the food industry has now entered into the food supply an enormous amount of ingredients under what we call the GRAS loophole, which is allowing it to just bring it to the market without any FDA oversight or even knowledge of the ingredient. So, in essence, what we're having now is that the food industry polices itself on whether to submit this pre-market petition for a food additive or just include it in its products without any FDA knowledge. When you said ‘enormous number of such things,' are we talking dozens, hundreds, thousands? Nobody knows, but the environmental working group did find that 99% of new ingredients are added through this loophole. And that's the concerning part. Well, you can look at some ultra-processed foods and they can have 30 or 40 ingredients on them. That's just one food. You can imagine that at across the food supply, how many things there are. And there are these chemicals that nobody can pronounce. You don't know what's going on, what they are, what they're all about. So, what you're saying is that the food industry decides to put these things in foods. There's some processing reason for putting them in. It's important that the public be protected against harmful ingredients. But the food industry decides what's okay to put in and what's not. Are they required to do any testing? Are there criteria for that kind of testing? Is there any sense that letting the industry police itself amounts to anything that protects the public good? Well, the criteria are supposed to be the same for GRAS or food additives. They're supposed to be meeting certain scientific criteria. But the problem with this is that for GRAS ingredients, they don't have to use published data and they can hold that scientific data to themselves. And you mentioned food labels, the ingredient list, right? That doesn't necessarily capture these ingredients. They use generic terms, corn oil, color additive, food additive whatever. And so, the actual ingredient itself is not necessarily listed on the ingredient list. There is no way to identify them and it's unknown whether they're actually doing the studies. They can engage in these, what are called GRAS panels, which are supposed to be experts that evaluate the science. But the problem is other studies have found that 100% of the people on these GRAS panels have financial conflicts of interest. Okay, so let me see if I have this right. I'm a food company. I develop a new additive to provide color or flavor or fragrance, or it's an emulsifier or something like that. I develop a chemical concoction that hasn't really been tested for human safety. I declare it safe. And the criteria I use for declaring it set safe is putting together a panel of people that I pay, who then in a hundred percent of cases say things are. That's how it works? I can't say that in a hundred percent of cases they say it's safe, but a hundred percent of the people have financial conflicts of interest. That's one of the major concerns there. Well, one can't imagine they would continue to be paid... Exactly. This sounds like a pretty shaky system to be sure. Emily: I wanted to add a couple other really quick things on the last discussion. You were saying, Kelly, like they're using a panel of experts, which indeed are paid by them. That would be best case in some cases. They're just having their own staff say, we think this is generally recognized as safe. And I think there's some examples we can give where there isn't even evidence that they went to even any outside people, even within industry. I think that the takeaway from all of that is that there's really the ability for companies to call all the shots. Make all the rules. Not tell FDA what they're doing. And then as we talked about, not even have anything on the label because it's not a required ingredient if it's, used as part of a processing agent that's not a substance on there. So I was feeling pretty bad when Jennifer is talking about these panels and the heavy conflict... Even worse. Of interest, now I feel worse because that's the best case. Totally. And one other thing too is just you kind of warmed this up by talking about this loophole. When we put an earlier article out that we wrote that was about just this generally recognized as safe, the feedback we got from FDA was this isn't a loophole. Why are you calling this a loophole? And it's pretty clear that it's a loophole, you know? It's big enough to drive thousands of ingredients through. Yes, totally. Emily, you've written about things like partially hydrogenated vegetable oils, trans fats, and red dye number three in particular. Both of which FDA has now prohibited in food. Can you walk us through those cases? You asked about partially hydrogenated oils or trans-fat, and then red dye three, which are two examples that we talk about a little bit in our piece. Actually, one of those, the partially hydrogenated oils was allowed in food through the generally recognized as safe definition. And the other was not. But they are both really good examples of another real issue that FDA has, which is that not only are they not doing a good job of policing substances going into food on the front end, but they do an even worse job of getting things out of food on the backend, post-market once they know that those substances are really raising red flags. And you raised two of the prime examples we've been talking about. With partially hydrogenated oils these are now banned in foods, but it took an extremely long time. Like the first evidence of harm was in the mid-nineties. By 2005, the Institute of Medicine, which is now the National Academies, said that intake of trans fat, of partially hydrogenated oils, should be as low as possible. And there was data from right around that time that found that 72,000 to 228,000 heart attacks in the US each year were caused by these partially hydrogenated oils. And on FDA's end, they started in early 2000s to require labeling. But it wasn't until 2015 that they passed a final rule saying that these substances were not generally recognized as safe. And then they kept delaying implementation until 2023. It was basically more than 20 years from when there was really clear evidence of harm including from respected national agencies to when FDA actually fully removed them from food. And red dye number three is another good example where there were studies from the 1980s that raised concerns about this red dye. And it was banned from cosmetics in 1990. But they still allowed it to be added to food. And didn't ban it from food until early this year. So early 2025. In large part because one of the other things happening is states are now taking action on some of these substances where they feel like we really need to protect consumers in our states. And FDA has been doing a really poor job. California banned red dye about 18 months before that and really spurred FDA to action. So that 20-year delay with between 72,000 and 228,000 heart attack deaths attributable to the trans fats is the cost of delay and inaction and I don't know, conflicts of interest, and all kinds of other stuff that happened in FDA. So we're not talking about something trivial by any means. These are life and death things are occurring. Yes. Give us another example, if you would, about something that entered the food supply and caused harm but made it through that GRAS loophole. The example that I've talked about both in some of the work we've done together and also in a perspective piece in the New England Journal of Medicine that really focused on why this is an issue. There was this substance added to food called tara flour. It came on the scene in 2022. It was in food prepared by Daily Harvest as like a protein alternative. And they were using it from a manufacturer in South America who said we have deemed this generally recognized as safe. Everything about that is completely legal. They deemed it generally recognized as safe. A company put it into food, and they sold that. Up until that point, that's all legal. What happened was very quickly people started getting really sick from this. And so there were, I think, about 400 people across 39 states got sick. Nearly 200 people ended up in the hospital, some of them with liver failure because of this toxicity of tara flour. And so FDA followed the thread they did help work with the company to do a voluntary recall, but it then took them two years, until May, 2024, to declare tara flour not generally recognized as safe. So I think, in some ways, this is a great example because it shows how it's so immediate, the impact of this substance that, again, was legally added to food with no oversight. In some ways it's a misleading example because I think so many of the substances in food, it's not going to be so clear and so immediate. It's going to be year over year, decade over decade as part of a full diet that these are causing cardiovascular risk, thyroid disease, cancer risk, those kinds of things. I'd love to hear from either of you about this. Why is FDA falling down on the job so badly? Is it that they don't have the money to do the necessary testing? Do they not have the authority? Is there not the political will to do this? Is there complete caving into the food industry? Just let them do what they want and we're going let it go? Jennifer: All of the above? Everything you just said? It's all of the above. Emily: Jen, do you wanna talk about the money side? Because that sort of gets to the genesis of the article we worked on, which was like maybe there's a creative solution to that piece. Yes, I'd love to hear about that because I thought that was a very creative thing that you guys wrote about in your paper. That there would be an industry user fee to help produce this oversight. Tell us what you had in mind with that. And then then convince me that FDA would appropriately use this oversight and do its job. So, the idea in the paper was proposing a comprehensive user fee program for the food branch of the FDA. The FDA currently collects user fees for all of human drugs, animal drugs, medical devices, etc. With Tobacco, it's a hundred percent funded by user fees. But food, it only gets 1% of its funding through user fees. And it's important to note user fees fund processes. They don't fund outcomes. It's not like a bribe. And the idea behind user fees and why industry sometimes supports them is actually to bring predictability to the regulatory state. It brings efficiency to reviews. And then this all allows the industry to anticipate timelines so they can bring products to market and know when they're going be able to do it. In the food context, for example, the FDA is required to respond to those food additives petitions that we talked about within 180 days. But they can't respond in time. And they have a lot of timelines that are required of them in the food context that they can't meet. They can't meet their timelines because they're so underfunded. So, we proposed a comprehensive user fee. But one of the main reasons that we think a user fee is important is to address the pre-market issues that I talked about and the post-market issues that Emily talked about. In order to close that GRAS loophole, first of all, FDA needs to either reevaluate its authorities or Congress needs to change its authorities. But it would need resources to be able to do something pre-market. Some of the ideas we had was that the user fee would fund some type of either pre-market review, pre-market notification, or even just a pre-market system where the FDA determines whether a proposed ingredient should go through the GRAS avenue, or through food additive petition. So at least that there will be some type of pre-market oversight over all the ingredients in the food supply. And then also the FDA is so severely lacking in any type of comprehensive post-market into play, they would have the resources to engage in a more comprehensive post-market review for all the ingredients. Could you see a time, and I bring this up because of lawsuits against the food industry for some of these additives that are going on now. The state attorney's generals are starting to get involved, and as you said, Emily, the some states are taking legislative action to ban certain things in the food supply. Do you think there could come a time when the industry will come to government pleading to have a user fee like this? To provide some standardization across jurisdictions, let's say? So, there's two things. The first is Congress has to pass the user fee, and historically, actually, industry has done exactly what you said. They have gone to Congress and said, you know what? We want user fees because we want a streamlined system, and we want to be able to know when we're bringing products to market. The problem in the context of food for the issues we're talking about is that right now they can use the GRAS loophole. So, they have very little incentive to ask for user fees if they can bring all their ingredients into the market through the GRAS loophole. There are other areas where a user fee is very relevant, such as the infant formula 90 day pre-market notification, or for different claims like health claims. They might want user fees to speed those things up, but in terms of the ingredients, unless we close the GRAS loophole, they'd have little incentive to actually come to the table. But wouldn't legal liability change that? Let's say that some of these lawsuits are successful and they start having to pay large settlements or have the State Attorneys General, for example, come down on them for these kinds of things. If they're legally liable for harm, they're causing, they need cover. And wouldn't this be worth the user fee to provide them cover for what they put in the food supply? Yes, it's great to have the flexibility to have all these things get through the loophole, but it'd be great as well to have some cover so you wouldn't have so much legal exposure. But you guys are the lawyers, so I'm not sure it makes sense. I think you're right that there are forces combining out in the world that are pushing for change here. And I think it's hard to disentangle how much is it that industry's pushing for user fees versus right now I think more willing to consider federal regulatory changes by either FDA or by Congress. At the state level this is huge. There's now becoming a patchwork across states, and I think that is really difficult for industry. We were tracking this year 93 bills in 35 states that either banned an additive in the general public, banned it in schools. Banned ultra-processed foods, which most of the states, interestingly, have all defined differently. But where they have had a definition, it's been tied to various different combinations of additives. So that's going on. And then I think you're right, that the legal cases moving along will push industry to really want clear and better standards. I think there's a good question right now around like how successful will some of these efforts be? But what we are seeing is real movement, both in FDA and in Congress, in taking action on this. So interestingly, the Health Affairs piece that we worked on was out this spring. But we had this other piece that came out last fall and felt like we were screaming into the void about this is a problem generally recognized as safe as a really big issue. And suddenly that has really changed. And so, you know, in March FDA said they were directed by RFK (Robert F. Kennedy), by HHS (Health and Human Services) to really look into changing their rule on generally recognized as safe. So, I know that's underway. And then in Congress, multiple bills have been introduced. And I know there are several in the works that would address additives and specifically, generally recognized as safe. There's this one piece going on, which is there's forces coalescing around some better method of regulation. I think the question's really going to also be like, will Congress give adequate resources? Because there is also another scenario that I'm worried about that even if FDA said we're going now require at least notification for every substance that's generally recognized as safe. It's a flood of substances. And they just, without more resources, without more staff devoted to this, there's no way that they're going to be able to wade through that. So, I think that either the resources need to come from user fees, or at least partially from user fees, from more appropriations and I think, In my opinion, they are able to do that on their own. Even given where current administrative law stands. Because I think it's very clear that the gist of the statute is that FDA should be overseeing additives. And I think a court would say this is allowing everything to instead go through this alternative pathway. But I really think FDA's going to need resources to manage this. And perhaps more of a push from Congress to make sure that they really do it to the best of their ability. I was going to say there's also an alternative world where we don't end up spending any of these resources, and they require the industry just to disclose all the ingredients they've added to food and put it on a database. This is like low hanging fruit, not very expensive, doesn't require funding. And then the NGOs, I hope, would go to work and say, look at this. There is no safety data for these ingredients. You know, because right now we just can't rely on FDA to do anything unless they get more funding to do something. So, if FDA doesn't get funding, then maybe this database where houses every ingredient that's in the food supply as a requirement could be a low resource solution. Jennifer, I'll come back to you in a minute because I'd like to ask how worried should we be about all this stuff that's going into food. But Emily, let me ask you first, does FDA have the authority to do what it needs to do? Let's say all of a sudden that your wish was granted and there were user fees would it then be able to do what needs to be done? I think certainly to be able to charge these user fees in almost all areas, it right now doesn't have that authority, and Congress would need to act. There's one small area which is within the Food Safety Modernization Act for certain types of like repeat inspections or recalls or there's a couple other. FDA isn't charging fees right now because they haven't taken this one step that they need to take. But they do have the authority if they just take those steps. But for everything else, Congress has to act. I think the real question to me is because we now know so many of these substances are going through this GRAS pathway, the question is really can they do everything they need to do on their own to close that loophole? And again, my opinion is Congress could make it clear and if Congress were to act, it would be better. Like they could redefine it in a way that was much more clear that we are drawing a real line. And most things actually should be on the additive side of the line rather than the generally recognized as safe side of the line. But even with their current authority, with the current definition, I think FDA could at least require notification because they're still drawing a line between what's required for additives, which is a very lengthy pre-market process with, you know, a notice and comment procedure and all of these things. My take is FDA do what you can do now. Let's get the show on the road. Let's take steps here to close up the loophole. And then Congress takes time. But they definitely can even strengthen this and give a little more, I think, directives to FDA as to how to make sure that this loophole doesn't recur down the line. In talks that I've given recently, I've shown an ingredient list from a food that people will recognize. And I ask people to try to guess what that food is from its ingredient list. This particular food has 35 ingredients. You know, a bunch of them that are very hard to pronounce. Very few people would even have any idea at all what those ingredients do. There's no sense at all about how ingredient number 17 would interact with ingredient 31, etc. And it just seems like it's complete chaos. And I don't want to take you guys outside your comfort zone because your backgrounds are law. But Jennifer, let me ask you this. You have a background in public health as well. There are all kinds of reasons to be worried about this, aren't there? There are the concerns about the safety of these things, but then there's a concern about what these ultra-processed ingredients do to your metabolism, your ability to control your weight, to regulate your hunger and things like that. It sounds this is a really important thing. And it's affecting almost everybody in the country. The percentage of calories that are now coming from ultra-processed foods is over 50% in both children and adults. So it sounds like there's really reason to worry. Would you agree? Yes. And also, the FDA is supposed to be overseeing the cumulative effects of the ingredients and it doesn't actually enforce that regulation. Its own regulation that it's supposed to evaluate the cumulative effects. It doesn't actually enforce this. So by cumulative effects do you mean the chronic effects of long term use? And, having these ingredients across multiple products within one person's consumption. Also, the FDA doesn't look at things like the effect on the gut microbiome, neurotoxicity, even cancer risk, even though they're supposed to, they say that if something is GRAS, they don't need to look at it because cancer risk is relegated only to food additives. So here we're at a real issue, right? Because if everything's entering through the GRAS loophole, then they're not looking at carcinogen effects. So, I think there is a big risk and as Emily had said earlier, that these are sometimes long-term risks versus that acute example of tara flour that we don't know. And we do know from the science, both older and emerging science, that ultra-processed food has definite impact on not only consumption, increased consumption, but also on diet related diseases and other health effects. And by definition what we're talking about here are ultra-processed foods. These ingredients are only found in ultra-processed foods. So, we do know that there is cause for concern. It's interesting that you mentioned the microbiome because we've recorded a cluster of podcasts on the microbiome and another cluster of podcasts on artificial sweeteners. Those two universes overlap a good bit because the impact of the artificial sweeteners on some of them, at least on the microbiome, is really pretty negative. And that's just one thing that goes into these foods. It really is pretty important. By the way, that food with 35 ingredients that I mentioned is a strawberry poptart. Jennifer: I know that answer! Emily: How do you know that? Jennifer: Because I've seen Kelly give a million talks. Yes, she has. Emily: I was wondering, I was like, are we never going to find out? So the suspense is lifted. Let me end with this. This has been highly instructive, and I really appreciate you both weighing in on this. So let me ask each of you, is there reason to be optimistic that things could improve. Emily, I'll start with you. So, I've been giving this talk the past few months that's called basically like Chronic Disease, Food Additives and MAHA, like What Could Go Right and What Could Go Wrong. And so, I'm going give you a very lawyerly answer, which is, I feel optimistic because there's attention on the issue. I think states are taking action and there's more attention to this across the political spectrum, which both means things are happening and means that the narrative changing, like people are getting more aware and calling for change in a way that we weren't seeing. On the flip side, I think there's a lot that could go wrong. You know, I think some of the state bills are great and some of them are maybe not so great. And then I think this administration, you have an HHS and FDA saying, they're going to take action on this in the midst of an administration that's otherwise very deregulatory. In particular, they're not supposed to put out new regulations if they can get rid of 10 existing ones. There are some things you can do through guidance and signaling, but I don't think you can really fix these issues without like real durable legislative change. So, I'm sorry to be one of the lawyers here. I think the signals are going in the right direction, but jury is out a little bit on how well we'll actually do. And I hope we can do well given the momentum. What do you think, Jennifer? I agree that the national attention is very promising to these issues. The states are passing laws that are shocking to me. That Texas passing a warning label law, I would never have thought in the history of the world, that Texas would be the one to pass a warning label law. They're doing great things and I actually have hope that something can come of this. But I am concerned at the federal level of the focus on deregulation may make it impossible. User fees is an example of where they won't have to regulate, but they could provide funding to the FDA to actually act in areas that it has the authority to act. That is one solution that could actually work under this administration if they were amenable to it. But I also think in some ways the states could save us. I worry, you know, Emily brought up the patchwork, which is the key term the industry uses to try to get preemption. I do worry about federal preemption of state actions. But the states right now are the ones saving us. California is the first to save the whole nation. The food industry isn't going to create new food supply for California and then the rest of the country. And then it's the same with other states. So, the states might be the ones that actually can make some real meaningful changes and get some of the most unsafe ingredients out of the food supply, which some of the states have now successfully done. Bios Emily Broad Leib is a Clinical Professor of Law, Director of Harvard Law School Center for Health Law and Policy Innovation, and Founding Director of the Harvard Law School Food Law and Policy Clinic, the nation's first law school clinic devoted to providing legal and policy solutions to the health, economic, and environmental challenges facing our food system. Working directly with clients and communities, Broad Leib champions community-led food system change, reduction in food waste, food access and food is medicine interventions, and equity and sustainability in food production. Her scholarly work has been published in the California Law Review, Wisconsin Law Review, Harvard Law & Policy Review, Food & Drug Law Journal, and Journal of Food Law & Policy, among others. Professor Jennifer Pomeranz is a public health lawyer who researches policy and legal options to address the food environment, obesity, products that cause public harm, and social injustice that lead to health disparities. Prior to joining the NYU faculty, Professor Pomeranz was an Assistant Professor at the School of Public Health at Temple University and in the Center for Obesity Research and Education at Temple. She was previously the Director of Legal Initiatives at the Rudd Center for Food Policy and Obesity at Yale University. She has also authored numerous peer-reviewed and law review journal articles and a book, Food Law for Public Health, published by Oxford University Press in 2016. Professor Pomeranz leads the Public Health Policy Research Lab and regularly teaches Public Health Law and Food Policy for Public Health.
Martin Luther King Jr. famously stated, "The arc of the moral universe is long, but it bends toward justice." And there are numerous notable figures in our country's fight toward this justice, and then there is Rev. Dr. William J. Barber, II.rnrnFor decades, Rev. Barber has served as a powerful voice in movements that combined faith, morality, and activism. As the Co-Chair of the Poor People's Campaign: A National Call For Moral Revival, Rev. Barber has launched a new movement that aims to address the same issues that Martin Luther King Jr. spoke against in the original 1960s campaign.rnrnRev. Barber is also President and Senior Lecturer of Repairers of the Breach, and a Professor in the Practice of Public Theology and Public Policy and Founding Director of the Center for Public Theology and Public Policy at Yale Divinity School. The author of five books, including We Are Called To Be A Movement, his most recent book White Poverty: How Exposing Myths About Race and Class Can Reconstruct American Democracy explores how we can join together to take on poverty and economic injustice.rnrnIn a moment when the strength of democracy is tested, and our country's bend toward justice is questioned, join us as we hear from Rev. Dr. William J. Barber, II on how we can build social justice movements that uplift our deepest moral and constitutional values.
Ever feel like your fear of judgment is holding you back from college life? In this no-nonsense episode, host Gabe Howard teams up with ADAA member expert Ken Goodman, LCSW, to cut through the noise and tackle social anxiety head-on. Discover how everyday moments — like dropping a napkin or saying hello — can spiral into overwhelming anxiety and how you can flip the script. Ken offers real-world strategies that empower you to face your fears, transform awkward encounters into opportunities, and build lasting connections. Whether you're dodging parties or stuck with your head down in class, learn how to challenge your mindset and step boldly into social situations. Tune in and get ready to break free from isolation, unlock your true potential, and make the most out of your college experience. This episode has been sponsored by the Anxiety and Depression Association of America (ADAA). “People with social anxiety perceive that other people are judging them constantly, but they're not. They're thinking about their day. They're thinking about their own problems. They're not thinking about you. If they do have a thought about you, it's pretty transient. It's pretty quick. It's not like they're dwelling on it like the person with social anxiety is.” ~Ken Goodman, LCSW Our guest, Ken Goodman, LCSW, specializes in the treatment of anxiety disorders and OCD. He is on the board of directors for the Anxiety and Depression Association of America and is Founding Director of QuietMindSolutions.com. He has authored and produced several self-help courses and books including The Anxiety Solution Series: Your Guide to Overcoming Panic, Worry, Compulsions and Fear, a 12-hour audio course and Break Free from Anxiety, a coloring self-help book. His latest book, The Emetophobia Manual, is the first self-help book for those who suffer with the fear of vomit. Most recently he recorded and produced a ten-session video course for people with emetophobia. He lectures at universities and organizations across the country. He earned his bachelor's and master's degrees from UCLA and operates his online private practice in Los Angeles. Our host, Gabe Howard, is an award-winning writer and speaker who lives with bipolar disorder. He is the author of the popular book, "Mental Illness is an Asshole and other Observations," available from Amazon; signed copies are also available directly from the author. Gabe is also the host of the "Inside Bipolar" podcast with Dr. Nicole Washington. Gabe makes his home in the suburbs of Columbus, Ohio. He lives with his supportive wife, Kendall, and a Miniature Schnauzer dog that he never wanted, but now can't imagine life without. To book Gabe for your next event or learn more about him, please visit gabehoward.com. Learn more about your ad choices. Visit megaphone.fm/adchoices
“We've been able to show that even by 30 days of age, we can predict with some accuracy if a child is going to have a diagnosis of autism,” says Dr. Geraldine Dawson, sharing one of the recent advancements in early diagnosis being aided by artificial intelligence. Dr. Dawson -- a leading scholar in the field and founding director of the Duke Center for Autism and Brain Development – explains that an AI examination of a child's pattern of visits to medical specialists in its very early life is an objective diagnostic tool that can supplement the current subjective reports from parents which vary in reliability. Another objective diagnostic tool in development uses a smartphone app developed at Duke that takes video of babies watching images and applies AI-aided Computer Vision Analysis to measure for signs of autism. This enlightening Raise the Line conversation with host Lindsey Smith is loaded with the latest understandings about Autism Spectrum Disorder including advancements in early therapeutic interventions, the interplay of genetic and environmental factors, and the role of the mother's health and exposures during pregnancy. You'll learn as well about what Dawson sees as necessary societal shifts in how autism is perceived, the numerous factors contributing to a near tripling of diagnoses over the past two decades, and how early intervention and informed advocacy can make a meaningful difference in the lives of countless families.Mentioned in this episode:Duke Center for Autism and Brain Development If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/raisethelinepodcast
In this episode of Research Renaissance, host Deborah Westphal sits down with Dr. Wendy Ellis, Assistant Professor of Global Health at George Washington University and Founding Director of the Center for Community Resilience. Together, they explore how resilience science and systems-level thinking can drive lasting change for communities impacted by adversity.Dr. Ellis shares her groundbreaking Pair of ACEs Framework, which connects adverse childhood experiences to adverse community environments, and discusses how this approach is helping policymakers, educators, and community leaders address root causes rather than symptoms. From innovative school-based partnerships in Portland to the development of an Opportunity Dashboard that measures both social and economic return on community investments, this conversation reveals how data, collaboration, and hope can transform entire neighborhoods.Whether you're a researcher, policymaker, or community advocate, this episode will inspire you to think bigger about what it means to build truly resilient communities.
As authoritarian leaders attack democracy from all sides, and the rights of women, ethnic minorities and the LGTBQI+ community are increasingly threatened, civil resistance is more important than ever. But what forms of resistance are most effective, and how can we build movements so that they have the greatest chance of success? Join the People, Power, Politics podcast as we talk to Erica Chenoweth, author of Civil Resistance: What Everyone Needs to Know, to discuss these issues and so much more! Guest: Erica Chenoweth is the Frank Stanton Professor of the First Amendment at Harvard Kennedy School and a Susan S. and Kenneth L. Wallach Professor at Harvard's Radcliffe Institute. They are widely known as one of the most important and influential voices on civil resistance and what makes for successful popular mobilization, and have authored a number of path-breaking books including Civil Resistance: What Everyone Needs to Know (Oxford UP, 2021) and On Revolutions (2022). Presenter: Dr Nic Cheeseman is the Professor of Democracy and International Development at the University of Birmingham and Founding Director of CEDAR. The People, Power, Politics podcast brings you the latest insights into the factors that are shaping and re-shaping our political world. It is brought to you by the Centre for Elections, Democracy, Accountability and Representation (CEDAR) based at the University of Birmingham, United Kingdom. Join us to better understand the factors that promote and undermine democratic government around the world and follow us on Twitter at @CEDAR_Bham! Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network
EELP's Founding Director and Harvard Law Professor, Jody Freeman, speaks with Harvard Law Professor Richard Lazarus and Solomon Hsiang, Professor of Global Environmental Policy at the Stanford Doerr School of Sustainability. They speak about EPA's recent proposal to repeal the agency's 2009 Endangerment Finding, and dig into the legal and scientific arguments offered by EPA. They discuss whether the Supreme Court decision in Massachusetts v. EPA already answers some of these legal questions and the state of the science on climate change: what we knew in 2009 when EPA first made its Endangerment Finding, and how our understanding has continued to improve. Transcript: https://eelp.law.harvard.edu/wp-content/uploads/2025/08/CleanLaw_EP108-Transcript.pdf eelp.law.harvard.edu
As authoritarian leaders attack democracy from all sides, and the rights of women, ethnic minorities and the LGTBQI+ community are increasingly threatened, civil resistance is more important than ever. But what forms of resistance are most effective, and how can we build movements so that they have the greatest chance of success? Join the People, Power, Politics podcast as we talk to Erica Chenoweth, author of Civil Resistance: What Everyone Needs to Know, to discuss these issues and so much more! Guest: Erica Chenoweth is the Frank Stanton Professor of the First Amendment at Harvard Kennedy School and a Susan S. and Kenneth L. Wallach Professor at Harvard's Radcliffe Institute. They are widely known as one of the most important and influential voices on civil resistance and what makes for successful popular mobilization, and have authored a number of path-breaking books including Civil Resistance: What Everyone Needs to Know (Oxford UP, 2021) and On Revolutions (2022). Presenter: Dr Nic Cheeseman is the Professor of Democracy and International Development at the University of Birmingham and Founding Director of CEDAR. The People, Power, Politics podcast brings you the latest insights into the factors that are shaping and re-shaping our political world. It is brought to you by the Centre for Elections, Democracy, Accountability and Representation (CEDAR) based at the University of Birmingham, United Kingdom. Join us to better understand the factors that promote and undermine democratic government around the world and follow us on Twitter at @CEDAR_Bham! Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/political-science
As authoritarian leaders attack democracy from all sides, and the rights of women, ethnic minorities and the LGTBQI+ community are increasingly threatened, civil resistance is more important than ever. But what forms of resistance are most effective, and how can we build movements so that they have the greatest chance of success? Join the People, Power, Politics podcast as we talk to Erica Chenoweth, author of Civil Resistance: What Everyone Needs to Know, to discuss these issues and so much more! Guest: Erica Chenoweth is the Frank Stanton Professor of the First Amendment at Harvard Kennedy School and a Susan S. and Kenneth L. Wallach Professor at Harvard's Radcliffe Institute. They are widely known as one of the most important and influential voices on civil resistance and what makes for successful popular mobilization, and have authored a number of path-breaking books including Civil Resistance: What Everyone Needs to Know (Oxford UP, 2021) and On Revolutions (2022). Presenter: Dr Nic Cheeseman is the Professor of Democracy and International Development at the University of Birmingham and Founding Director of CEDAR. The People, Power, Politics podcast brings you the latest insights into the factors that are shaping and re-shaping our political world. It is brought to you by the Centre for Elections, Democracy, Accountability and Representation (CEDAR) based at the University of Birmingham, United Kingdom. Join us to better understand the factors that promote and undermine democratic government around the world and follow us on Twitter at @CEDAR_Bham! Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/politics-and-polemics
“For anyone, women especially who are interested in the energy and climate space, I would say that you shouldn't feel that you need to choose between the public sector, the private sector, and the nonprofit sector. I've been able to continue to build my expertise in the energy and climate space, but from multiple different perspectives. My advice would be to just not feel that you need to pick one of those lanes and, and to take the risk to bounce between those different segments of our economy.” Claire Seaborn on Electric Ladies Podcast Summer is a good time to think about your next career move. These five women trailblazers have some great advice. These are all women who Joan Michelson interviewed at length on Electric Ladies Podcast over the past year, and who have all broken down barriers to get where they are, blazing a trail for the rest of us. They each advocate for and/or work directly in energy, climate, sustainability and ESG – environment, social, governance – and share actionable tips that every woman (and man) can apply today. This episode brings you advice from: · Hilary Doe, Michigan's Chief Growth Office on how the state is turning IRA Credits into Growth – and the first person in the U.S. to hold that kind of role. Congresswoman Chrissy Houlahan (D-PA), and Co-Chair of the Bipartisan Climate Solutions Caucus, on the politics of energy and infrastructure Claire Seaborn, former Chief of Staff to Canada's Minister of Energy and Natural Resources on what the U.S. can learn from Canada's energy policies · Tensie Whelan, Founding Director of NYU Stern on why sustainable business is good business. · Zara Summers, Chief Science Officer at LanzaTech about innovative ways that recovered carbon is making its way back into our daily lives. Read Joan's Forbes piece on How Women Can Boost Their Careers Despite Headwinds — Women's History Month, and more of her articles here. More from Electric Ladies Podcast! Join us at The Earth Day Women's Summit on April 22, 2025, in Dallas, Texas! Register today with the code “EDWS” for the Women's Summit and a special rate. Elevate your career with expert coaching and ESG advisory with Electric Ladies Podcast. Unlock new opportunities, gain confidence, and achieve your career goals with the right guidance. Subscribe to our newsletter to receive our podcasts, articles, events and career advice – and special coaching offers.. Thanks for subscribing on Apple Podcasts or iHeartRadio and leaving us a review! Don't forget to follow us on our socials Twitter: @joanmichelson LinkedIn: Electric Ladies Podcast with Joan Michelson Twitter: @joanmichelson Facebook: Green Connections Radio
In this episode, Eitan Koter sits down with Dan Chorlton, CEO and co-founder of Goa Marketing. Goa Marketing is a SaaS platform that helps enterprise advertisers get more from their Google Ads budgets. Dan and his team have managed and optimized over a billion pounds in paid search, partnering with brands like MoneySupermarket to improve returns and reduce wasted spend.They start with the story behind Goa, including why the name stands for Governance, Opportunity, and Accountability. Dan explains how these three pillars guide their approach to managing campaigns at scale, from keeping track of errors to spotting new opportunities and showing leadership clear results.Eitan asks about the biggest gaps in Google Ads today, and Dan shares how automation and the right processes can make a major difference. They talk about where money often leaks out of campaigns, why testing matters, and how to set up experiments that lead to real improvements.They also discuss Google's latest ad formats, the impact of Performance Max, and how to balance automation with control. Dan offers his perspective on why ad copy testing still matters, the importance of a strong value proposition, and how small changes can have a large impact.If you run Google Ads, whether you are spending millions a year or just getting started, you will hear clear ideas for making your budget work harder and your results stronger.Website: https://www.vimmi.net Email us: info@vimmi.net Podcast website: https://vimmi.net/mastering-ecommerce-marketing/ Talk to us on Social:Eitan Koter's LinkedIn | Vimmi LinkedIn | YouTube Guest: Dan Chorlton, CEO (interim) & Founding Director at GOA MarketingDan Chorlton's LinkedIn | GOA MarketingTakeaways:Adaptability is crucial in the ever-changing digital marketing landscape.Testing and analyzing results rigorously is essential for success.Maximizing advertising spend efficiency can lead to significant cost savings.
In Utah's early history, women were highly engaged politically; in fact, Utah women citizens were the first in the US to vote under an equal suffrage law in 1870. Utah was also the first state to elect a female state senator (elected over her own husband in the same race), and as recently as 1992, Utah women had the highest voter turnout in the nation at 76.0%. However, by 2006, Utah women's voting rates plummeted to 51st (50 states plus Washington DC). So where are we now? In this podcast episode, we talk about that and other elements in this report. Dr. Susan Madsen (a Professor of Organizational Leadership in the Jon M. Huntsman School of Business at Utah State University, and the Founding Director of the Utah Women & Leadership Project and A Bolder Way Forward) interviews Corinne Clarkson (co-author/research associate of the Utah Women and Leadership Project) and Kolene Anderson (co-author and the associate director of the Utah Women and Leadership Project).Support the show
After years of friendship, Host Rabbi Irwin Keller sits with Dr. Rachel Naomi Remen to explore the influences of her childhood and young life on her lifelong calling as a healer and teacher. Listen closely for the story of her stint as a race car driver. Perhaps you weren't expecting that. Rachel Naomi Remen, MD Rachel is a Professor of Family Medicine at Wright State Boonshoft School of Medicine and the Founder and Founding Director of the Remen Institute for the Study of Health and Illness (RISHI), which was at Commonweal for decades and is currently at Wright State University Boonshoft School of Medicine. She is one of the best known of the early pioneers of wholistic and integrative medicine. As a medical educator, therapist, and teacher, she has enabled many thousands of physicians to find individual meaning and purpose in the practice of medicine and thousands of patients to remember their power to heal. More than 30,000 medical students have completed The Healer's Art, her groundbreaking curriculum for medical students taught at the majority of medical schools in America. A master storyteller and observer of life, her bestselling books, Kitchen Table Wisdom and My Grandfather's Blessings have sold more than 2 million copies and have been translated into 21 languages. Rachel has had Crohn's disease for more than 65 years and her work is a unique blend of the wisdom, strength, and viewpoints of both doctor and patient. Host Rabbi Irwin Keller Irwin has served as spiritual leader of Congregation Ner Shalom in Sonoma County since 2008, a post he took while still writing and performing with the San Francisco-based Kinsey Sicks, known as America's Favorite Dragapella Beautyshop Quartet. His legal advocacy work included authoring the City of Chicago's first comprehensive human rights law, in effect since 1989, and serving as the Executive Director of the AIDS Legal Referral Panel of the San Francisco Bay Area. *** The New School is Commonweal's learning community and podcast — we offer conversations, workshops, and other events in areas that Commonweal champions: finding meaning, growing health and resilience, advocating for justice, and stewarding the natural world. We make our conversations into podcasts for many thousands of listeners world wide and have been doing this since 2007. Please like/follow our YouTube channel for access to our library of more than 400 great podcasts. The New School at Commonweal.
Summer rewind: Greg Lindsay is an urban tech expert and a Senior Fellow at MIT. He's also a two-time Jeopardy champion and the only human to go undefeated against IBM's Watson. Greg joins thinkenergy to talk about how artificial intelligence (AI) is reshaping how we manage, consume, and produce energy—from personal devices to provincial grids, its rapid growth to the rising energy demand from AI itself. Listen in to learn how AI impacts our energy systems and what it means individually and industry-wide. Related links: ● Greg Lindsay website: https://greglindsay.org/ ● Greg Lindsay on LinkedIn: https://www.linkedin.com/in/greg-lindsay-8b16952/ ● International Energy Agency (IEA): https://www.iea.org/ ● Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ● Hydro Ottawa: https://hydroottawa.com/en To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405 To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited Follow along on Instagram: https://www.instagram.com/hydroottawa Stay in the know on Facebook: https://www.facebook.com/HydroOttawa Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: Trevor Freeman 00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening. Trevor Freeman 00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts feedback or ideas for topics we should cover, please reach out to us at think energy at hydro ottawa.com, Hi everyone. Welcome back. Artificial intelligence, or AI, is a term that you're likely seeing and hearing everywhere today, and with good reason, the effectiveness and efficiency of today's AI, along with the ever increasing applications and use cases mean that in just the past few years, AI went from being a little bit fringe, maybe a little bit theoretical to very real and likely touching everyone's day to day lives in ways that we don't even notice, and we're just at the beginning of what looks to be a wave of many different ways that AI will shape and influence our society and our lives in the years to come. And the world of energy is no different. AI has the potential to change how we manage energy at all levels, from our individual devices and homes and businesses all the way up to our grids at the local, provincial and even national and international levels. At the same time, AI is also a massive consumer of energy, and the proliferation of AI data centers is putting pressure on utilities for more and more power at an unprecedented pace. But before we dive into all that, I also think it will be helpful to define what AI is. After all, the term isn't new. Like me, many of our listeners may have grown up hearing about Skynet from Terminator, or how from 2001 A Space Odyssey, but those malignant, almost sentient versions of AI aren't really what we're talking about here today. And to help shed some light on both what AI is as well as what it can do and how it might influence the world of energy, my guest today is Greg Lindsay, to put it in technical jargon, Greg's bio is super neat, so I do want to take time to run through it properly. Greg is a non resident Senior Fellow of MIT's future urban collectives lab Arizona State University's threat casting lab and the Atlantic Council's Scowcroft center for strategy and security. Most recently, he was a 2022-2023 urban tech Fellow at Cornell Tech's Jacobs Institute, where he explored the implications of AI and augmented reality at an urban scale. Previously, he was an urbanist in resident, which is a pretty cool title, at BMW minis urban tech accelerator, urban X, as well as the director of Applied Research at Montreal's new cities and Founding Director of Strategy at its mobility focused offshoot, co motion. He's advised such firms as Intel, Samsung, Audi, Hyundai, IKEA and Starbucks, along with numerous government entities such as 10 Downing Street, us, Department of Energy and NATO. And finally, and maybe coolest of all, Greg is also a two time Jeopardy champion and the only human to go undefeated against IBM's Watson. So on that note, Greg Lindsey, welcome to the show. Greg Lindsay 04:14 Great to be here. Thanks for having me. Trevor, Trevor Freeman 04:16 So Greg, we're here to talk about AI and the impacts that AI is going to have on energy, but AI is a bit of one of those buzzwords that we hear out there in a number of different spheres today. So let's start by setting the stage of what exactly we're talking about. So what do we mean when we say AI or artificial intelligence? Speaker 1 04:37 Well, I'd say the first thing to keep in mind is that it is neither artificial nor intelligence. It's actually composites of many human hands making it. And of course, it's not truly intelligent either. I think there's at least two definitions for the layman's purposes. One is statistical machine learning. You know that is the previous generation of AI, we could say, doing deep, deep statistical analysis, looking for patterns fitting to. Patterns doing prediction. There's a great book, actually, by some ut professors at monk called prediction machines, which that was a great way of thinking about machine learning and sense of being able to do large scale prediction at scale. And that's how I imagine hydro, Ottawa and others are using this to model out network efficiencies and predictive maintenance and all these great uses. And then the newer, trendier version, of course, is large language models, your quads, your chat gpts, your others, which are based on transformer models, which is a whole series of work that many Canadians worked on, including Geoffrey Hinton and others. And this is what has produced the seemingly magical abilities to produce text and images on demand and large scale analysis. And that is the real power hungry beast that we think of as AI today. Trevor Freeman 05:42 Right! So different types of AI. I just want to pick those apart a little bit. When you say machine learning, it's kind of being able to repetitively look at something or a set of data over and over and over again. And because it's a computer, it can do it, you know, 1000s or millions of times a second, and learn what, learn how to make decisions based on that. Is that fair to say? Greg Lindsay 06:06 That's fair to say. And the thing about that is, is like you can train it on an output that you already know, large language models are just vomiting up large parts of pattern recognition, which, again, can feel like magic because of our own human brains doing it. But yeah, machine learning, you can, you know, you can train it to achieve outcomes. You can overfit the models where it like it's trained too much in the past, but, yeah, it's a large scale probabilistic prediction of things, which makes it so powerful for certain uses. Trevor Freeman 06:26 Yeah, one of the neatest explanations or examples I've seen is, you know, you've got these language models where it seems like this AI, whether it's chat, DBT or whatever, is writing really well, like, you know, it's improving our writing. It's making things sound better. And it seems like it's got a brain behind it, but really, what it's doing is it's going out there saying, What have millions or billions of other people written like this? And how can I take the best things of that? And it can just do that really quickly, and it's learned that that model, so that's super helpful to understand what we're talking about here. So obviously, in your work, you look at the impact of AI on a number of different aspects of our world, our society. What we're talking about here today is particularly the impact of AI when it comes to energy. And I'd like to kind of bucketize our conversation a little bit today, and the first area I want to look at is, what will ai do when it comes to energy for the average Canadian? Let's say so in my home, in my business, how I move around? So I'll start with that. It's kind of a high level conversation. Let's start talking about the different ways that AI will impact you know that our average listener here? Speaker 1 07:41 Um, yeah, I mean, we can get into a discussion about what it means for the average Canadian, and then also, of course, what it means for Canada in the world as well, because I just got back from South by Southwest in Austin, and, you know, for the second, third year in row, AI was on everyone's lips. But really it's the energy. Is the is the bottleneck. It's the forcing factor. Everyone talked about it, the fact that all the data centers we can get into that are going to be built in the direction of energy. So, so, yeah, energy holds the key to the puzzle there. But, um, you know, from the average gain standpoint, I mean, it's a question of, like, how will these tools actually play out, you know, inside of the companies that are using this, right? And that was a whole other discussion too. It's like, okay, we've been playing around with these tools for two, three years now, what do they actually use to deliver value of your large language model? So I've been saying this for 10 years. If you look at the older stuff you could start with, like smart thermostats, even look at the potential savings of this, of basically using machine learning to optimize, you know, grid optimize patterns of usage, understanding, you know, the ebbs and flows of the grid, and being able to, you know, basically send instructions back and forth. So you know there's stats. You know that, basically you know that you know you could save 10 to 25% of electricity bills. You know, based on this, you could reduce your heating bills by 10 to 15% again, it's basically using this at very large scales of the scale of hydro Ottawa, bigger, to understand this sort of pattern usage. But even then, like understanding like how weather forecasts change, and pulling that data back in to basically make fine tuning adjustments to the thermostats and things like that. So that's one stands out. And then, you know, we can think about longer term. I mean, yeah, lots have been lots has been done on imagining, like electric mobility, of course, huge in Canada, and what that's done to sort of change the overall energy mix virtual power plants. This is something that I've studied, and we've been writing about at Fast Company. At Fast Company beyond for 20 years, imagining not just, you know, the ability to basically, you know, feed renewable electricity back into the grid from people's solar or from whatever sources they have there, but the ability of utilities to basically go in and fine tune, to have that sort of demand shaping as well. And then I think the most interesting stuff, at least in demos, and also blockchain, which has had many theoretical uses, and I've got to see a real one. But one of the best theoretical ones was being able to create neighborhood scale utilities. Basically my cul de sac could have one, and we could trade clean electrons off of our solar panels through our batteries and home scale batteries, using Blockchain to basically balance this out. Yeah, so there's lots of potential, but yeah, it comes back to the notion of people want cheaper utility bills. I did this piece 10 years ago for the Atlantic Council on this we looked at a multi country survey, and the only reason anybody wanted a smart home, which they just were completely skeptical about, was to get those cheaper utility bills. So people pay for that. Trevor Freeman 10:19 I think it's an important thing to remember, obviously, especially for like the nerds like me, who part of my driver is, I like that cool new tech. I like that thing that I can play with and see my data. But for most people, no matter what we're talking about here, when it comes to that next technology, the goal is make my life a little bit easier, give me more time or whatever, and make things cheaper. And I think especially in the energy space, people aren't putting solar panels on their roof because it looks great. And, yeah, maybe people do think it looks great, but they're putting it up there because they want cheaper electricity. And it's going to be the same when it comes to batteries. You know, there's that add on of resiliency and reliability, but at the end of the day, yeah, I want my bill to be cheaper. And what I'm hearing from you is some of the things we've already seen, like smart thermostats get better as AI gets better. Is that fair to say? Greg Lindsay 11:12 Well, yeah, on the machine learning side, that you know, you get ever larger data points. This is why data is the coin of the realm. This is why there's a race to collect data on everything. Is why every business model is data collection and everything. Because, yes, not only can they get better, but of course, you know, you compile enough and eventually start finding statistical inferences you never meant to look for. And this is why I've been involved. Just as a side note, for example, of cities that have tried to implement their own data collection of electric scooters and eventually electric vehicles so they could understand these kinds of patterns, it's really the key to anything. And so it's that efficiency throughput which raises some really interesting philosophical questions, particularly about AI like, this is the whole discussion on deep seek. Like, if you make the models more efficient, do you have a Jevons paradox, which is the paradox of, like, the more energy you save through efficiency, the more you consume because you've made it cheaper. So what does this mean that you know that Canadian energy consumption is likely to go up the cleaner and cheaper the electrons get. It's one of those bedeviling sort of functions. Trevor Freeman 12:06 Yeah interesting. That's definitely an interesting way of looking at it. And you referenced this earlier, and I will talk about this. But at the macro level, the amount of energy needed for these, you know, AI data centers in order to do all this stuff is, you know, we're seeing that explode. Greg Lindsay 12:22 Yeah, I don't know that. Canadian statistics my fingertips, but I brought this up at Fast Company, like, you know, the IEA, I think International Energy Agency, you know, reported a 4.3% growth in the global electricity grid last year, and it's gonna be 4% this year. That does not sound like much. That is the equivalent of Japan. We're adding in Japan every year to the grid for at least the next two to three years. Wow. And that, you know, that's global South, air conditioning and other needs here too, but that the data centers on top is like the tip of the spear. It's changed all this consumption behavior, where now we're seeing mothballed coal plants and new plants and Three Mile Island come back online, as this race for locking up electrons, for, you know, the race to build God basically, the number of people in AI who think they're literally going to build weekly godlike intelligences, they'll, they won't stop at any expense. And so they will buy as much energy as they can get. Trevor Freeman 13:09 Yeah, well, we'll get to that kind of grid side of things in a minute. Let's stay at the home first. So when I look at my house, we talked about smart thermostats. We're seeing more and more automation when it comes to our homes. You know, we can program our lights and our door locks and all this kind of stuff. What does ai do in order to make sure that stuff is contributing to efficiency? So I want to do all those fun things, but use the least amount of energy possible. Greg Lindsay 13:38 Well, you know, I mean, there's, again, there's various metrics there to basically, sort of, you know, program your lights. And, you know, Nest is, you know, Google. Nest is an example of this one, too, in terms of basically learning your ebb and flow and then figuring out how to optimize it over the course of the day. So you can do that, you know, we've seen, again, like the home level. We've seen not only the growth in solar panels, but also in those sort of home battery integration. I was looking up that Tesla Powerwall was doing just great in Canada, until the last couple of months. I assume so, but I it's been, it's been heartening to see that, yeah, this sort of embrace of home energy integration, and so being able to level out, like, peak flow off the grid, so Right? Like being able to basically, at moments of peak demand, to basically draw on your own local resources and reduce that overall strain. So there's been interesting stuff there. But I want to focus for a moment on, like, terms of thinking about new uses. Because, you know, again, going back to how AI will influence the home and automation. You know, Jensen Wong of Nvidia has talked about how this will be the year of robotics. Google, Gemini just applied their models to robotics. There's startups like figure there's, again, Tesla with their optimists, and, yeah, there's a whole strain of thought that we're about to see, like home robotics, perhaps a dream from like, the 50s. I think this is a very Disney World esque Epcot Center, yeah, with this idea of jetsy, yeah, of having home robots doing work. You can see concept videos a figure like doing the actual vacuuming. I mean, we invented Roombas to this, but, but it also, I, you know, I've done a lot of work. Our own thinking around electric delivery vehicles. We could talk a lot about drones. We could talk a lot about the little robots that deliver meals on the sidewalk. There's a lot of money in business models about increasing access and people needing to maybe move less, to drive and do all these trips to bring it to them. And that's a form of home automation, and that's all batteries. That is all stuff off the grid too. So AI is that enable those things, these things that can think and move and fly and do stuff and do services on your behalf, and so people might find this huge new source of demand from that as well. Trevor Freeman 15:29 Yeah, that's I hadn't really thought about the idea that all the all these sort of conveniences and being able to summon them to our homes cause us to move around less, which also impacts transportation, which is another area I kind of want to get to. And I know you've, you've talked a little bit about E mobility, so where do you see that going? And then, how does AI accelerate that transition, or accelerate things happening in that space? Greg Lindsay 15:56 Yeah, I mean, I again, obviously the EV revolutions here Canada like, one of the epicenters Canada, Norway there, you know, that still has the vehicle rebates and things. So, yeah. I mean, we've seen, I'm here in Montreal, I think we've got, like, you know, 30 to 13% of sales is there, and we've got our 2035, mandate. So, yeah. I mean, you see this push, obviously, to harness all of Canada's clean, mostly hydro electricity, to do this, and, you know, reduce its dependence on fossil fuels for either, you know, Climate Change Politics reasons, but also just, you know, variable energy prices. So all of that matters. But, you know, I think the key to, like the electric mobility revolution, again, is, is how it's going to merge with AI and it's, you know, it's not going to just be the autonomous, self driving car, which is sort of like the horseless carriage of autonomy. It's gonna be all this other stuff, you know. My friend Dan Hill was in China, and he was thinking about like, electric scooters, you know. And I mentioned this to hydro Ottawa, like, the electric scooter is one of the leading causes of how we've taken internal combustion engine vehicles offline across the world, mostly in China, and put people on clean electric motors. What happens when you take those and you make those autonomous, and you do it with, like, deep seek and some cameras, and you sort of weld it all together so you could have a world of a lot more stuff in motion, and not just this world where we have to drive as much. And that, to me, is really exciting, because that changes, like urban patterns, development patterns, changes how you move around life, those kinds of things as well. That's that might be a little farther out, but, but, yeah, this sort of like this big push to build out domestic battery industries, to build charging points and the sort of infrastructure there, I think it's going to go in direction, but it doesn't look anything like, you know, a sedan or an SUV that just happens to be electric. Trevor Freeman 17:33 I think that's a the step change is change the drive train of the existing vehicles we have, you know, an internal combustion to a battery. The exponential change is exactly what you're saying. It's rethinking this. Greg Lindsay 17:47 Yeah, Ramesam and others have pointed out, I mean, again, like this, you know, it's, it's really funny to see this pushback on EVs, you know. I mean, I love a good, good roar of an internal combustion engine myself, but, but like, you know, Ramesam was an energy analyst, has pointed out that, like, you know, EVS were more cost competitive with ice cars in 2018 that's like, nearly a decade ago. And yeah, the efficiency of electric motors, particularly regenerative braking and everything, it just blows the cost curves away of ice though they will become the equivalent of keeping a thorough brat around your house kind of thing. Yeah, so, so yeah, it's just, it's that overall efficiency of the drive train. And that's the to me, the interesting thing about both electric motors, again, of autonomy is like, those are general purpose technologies. They get cheaper and smaller as they evolve under Moore's Law and other various laws, and so they get to apply to more and more stuff. Trevor Freeman 18:32 Yeah. And then when you think about once, we kind of figure that out, and we're kind of already there, or close to it, if not already there, then it's opening the door to those other things you're talking about. Of, well, do we, does everybody need to have that car in their driveway? Are we rethinking how we're actually just doing transportation in general? And do we need a delivery truck? Or can it be delivery scooter? Or what does that look like? Greg Lindsay 18:54 Well, we had a lot of those discussions for a long time, particularly in the mobility space, right? Like, and like ride hailing, you know, like, oh, you know, that was always the big pitch of an Uber is, you know, your car's parked in your driveway, like 94% of the time. You know, what happens if you're able to have no mobility? Well, we've had 15 years of Uber and these kinds of services, and we still have as many cars. But people are also taking this for mobility. It's additive. And I raised this question, this notion of like, it's just sort of more and more, more options, more availability, more access. Because the same thing seems to be going on with energy now too. You know, listeners been following along, like the conversation in Houston, you know, a week or two ago at Sarah week, like it's the whole notion of energy realism. And, you know, there's the new book out, more is more is more, which is all about the fact that we've never had an energy transition. We just kept piling up. Like the world burned more biomass last year than it did in 1900 it burned more coal last year than it did at the peak of coal. Like these ages don't really end. They just become this sort of strata as we keep piling energy up on top of it. And you know, I'm trying to sound the alarm that we won't have an energy transition. What that means for climate change? But similar thing, it's. This rebound effect, the Jevons paradox, named after Robert Stanley Jevons in his book The question of coal, where he noted the fact that, like, England was going to need more and more coal. So it's a sobering thought. But, like, I mean, you know, it's a glass half full, half empty in many ways, because the half full is like increasing technological options, increasing changes in lifestyle. You can live various ways you want, but, but, yeah, it's like, I don't know if any of it ever really goes away. We just get more and more stuff, Trevor Freeman 20:22 Exactly, well. And, you know, to hear you talk about the robotics side of things, you know, looking at the home, yeah, more, definitely more. Okay, so we talked about kind of home automation. We've talked about transportation, how we get around. What about energy management? And I think about this at the we'll talk about the utility side again in a little bit. But, you know, at my house, or for my own personal use in my life, what is the role of, like, sort of machine learning and AI, when it comes to just helping me manage my own energy better and make better decisions when it comes to energy? , Greg Lindsay 20:57 Yeah, I mean, this is where it like comes in again. And you know, I'm less and less of an expert here, but I've been following this sort of discourse evolve. And right? It's the idea of, you know, yeah, create, create. This the set of tools in your home, whether it's solar panels or batteries or, you know, or Two Way Direct, bi directional to the grid, however it works. And, yeah, and people, you know, given this option of savings, and perhaps, you know, other marketing messages there to curtail behavior. You know? I mean, I think the short answer the question is, like, it's an app people want, an app that tell them basically how to increase the efficiency of their house or how to do this. And I should note that like, this has like been the this is the long term insight when it comes to like energy and the clean tech revolution. Like my Emery Levin says this great line, which I've always loved, which is, people don't want energy. They want hot showers and cold beer. And, you know, how do you, how do you deliver those things through any combination of sticks and carrots, basically like that. So, So, hence, why? Like, again, like, you know, you know, power walls, you know, and, and, and, you know, other sort of AI controlled batteries here that basically just sort of smooth out to create the sort of optimal flow of electrons into your house, whether that's coming drive directly off the grid or whether it's coming out of your backup and then recharging that the time, you know, I mean, the surveys show, like, more than half of Canadians are interested in this stuff, you know, they don't really know. I've got one set here, like, yeah, 61% are interested in home energy tech, but only 27 understand, 27% understand how to optimize them. So, yeah. So people need, I think, perhaps, more help in handing that over. And obviously, what's exciting for the, you know, the utility level is, like, you know, again, aggregate all that individual behavior together and you get more models that, hope you sort of model this out, you know, at both greater scale and ever more fine grained granularity there. So, yeah, exactly. So I think it's really interesting, you know, I don't know, like, you know, people have gamified it. What was it? I think I saw, like, what is it? The affordability fund trust tried to basically gamify AI energy apps, and it created various savings there. But a lot of this is gonna be like, as a combination like UX design and incentives design and offering this to people too, about, like, why you should want this and money's one reason, but maybe there's others. Trevor Freeman 22:56 Yeah, and we talk about in kind of the utility sphere, we talk about how customers, they don't want all the data, and then have to go make their own decisions. They want those decisions to be made for them, and they want to say, look, I want to have you tell me the best rate plan to be on. I want to have you automatically switch me to the best rate plan when my consumption patterns change and my behavior chat patterns change. That doesn't exist today, but sort of that fast decision making that AI brings will let that become a reality sometime in the future, Greg Lindsay 23:29 And also in theory, this is where LLMs come into play. Is like, you know, to me, what excites me the most about that is the first time, like having a true natural language interface, like having being able to converse with an, you know, an AI, let's hopefully not chat bot. I think we're moving out on chat bots, but some sort of sort of instantiation of an AI to be like, what plan should I be on? Can you tell me what my behavior is here and actually having some sort of real language conversation with it? Not decision trees, not event statements, not chat bots. Trevor Freeman 23:54 Yeah, absolutely. Okay, so we've kind of teased around this idea of looking at the utility levels, obviously, at hydro Ottawa, you referenced this just a minute ago. We look at all these individual cases, every home that has home automation or solar storage, and we want to aggregate that and understand what, what can we do to help manage the grid, help manage all these new energy needs, shift things around. So let's talk a little bit about the role that AI can play at the utility scale in helping us manage the grid. Greg Lindsay 24:28 All right? Well, yeah, there's couple ways to approach it. So one, of course, is like, let's go back to, like, smart meters, right? Like, and this is where I don't know how many hydro Ottawa has, but I think, like, BC Hydro has like, 2 million of them, sometimes they get politicized, because, again, this gets back to this question of, like, just, just how much nanny state you want. But, you know, you know, when you reach the millions, like, yeah, you're able to get that sort of, you know, obviously real time, real time usage, real time understanding. And again, if you can do that sort of grid management piece where you can then push back, it's visual game changer. But, but yeah. I mean, you know, yeah, be. See hydro is pulling in. I think I read like, like, basically 200 million data points a day. So that's a lot to train various models on. And, you know, I don't know exactly the kind of savings they have, but you can imagine there, whether it's, you know, them, or Toronto Hydro, or hydro Ottawa and others creating all these monitoring points. And again, this is the thing that bedells me, by the way, just philosophically about modern life, the notion of like, but I don't want you to be collecting data off me at all times, but look at what you can do if you do It's that constant push pull of some sort of combination of privacy and agency, and then just the notion of like statistics, but, but there you are, but, but, yeah, but at the grid level, then I mean, like, yeah. I mean, you can sort of do the same thing where, like, you know, I mean, predictive maintenance is the obvious one, right? I have been writing about this for large enterprise software companies for 20 years, about building these data points, modeling out the lifetime of various important pieces equipment, making sure you replace them before you have downtime and terrible things happen. I mean, as we're as we're discussing this, look at poor Heathrow Airport. I am so glad I'm not flying today, electrical substation blowing out two days of the world's most important hub offline. So that's where predictive maintenance comes in from there. And, yeah, I mean, I, you know, I again, you know, modeling out, you know, energy flow to prevent grid outages, whether that's, you know, the ice storm here in Quebec a couple years ago. What was that? April 23 I think it was, yeah, coming up in two years. Or our last ice storm, we're not the big one, but that one, you know, where we had big downtime across the grid, like basically monitoring that and then I think the other big one for AI is like, Yeah, is this, this notion of having some sort of decision support as well, too, and sense of, you know, providing scenarios and modeling out at scale the potential of it? And I don't think, I don't know about this in a grid case, but the most interesting piece I wrote for Fast Company 20 years ago was an example, ago was an example of this, which was a fledgling air taxi startup, but they were combining an agent based model, so using primitive AI to create simple rules for individual agents and build a model of how they would behave, which you can create much more complex models. Now we could talk about agents and then marrying that to this kind of predictive maintenance and operations piece, and marrying the two together. And at that point, you could have a company that didn't exist, but that could basically model itself in real time every day in the life of what it is. You can create millions and millions and millions of Monte Carlo operations. And I think that's where perhaps both sides of AI come together truly like the large language models and agents, and then the predictive machine learning. And you could basically hydro or others, could build this sort of deep time machine where you can model out all of these scenarios, millions and millions of years worth, to understand how it flows and contingencies as well. And that's where it sort of comes up. So basically something happens. And like, not only do you have a set of plans, you have an AI that has done a million sets of these plans, and can imagine potential next steps of this, or where to deploy resources. And I think in general, that's like the most powerful use of this, going back to prediction machines and just being able to really model time in a way that we've never had that capability before. And so you probably imagine the use is better than I. Trevor Freeman 27:58 Oh man, it's super fascinating, and it's timely. We've gone through the last little while at hydro Ottawa, an exercise of updating our playbook for emergencies. So when there are outages, what kind of outage? What's the sort of, what are the trigger points to go from, you know, what we call a level one to a level two to level three. But all of this is sort of like people hours that are going into that, and we're thinking through these scenarios, and we've got a handful of them, and you're just kind of making me think, well, yeah, what if we were able to model that out? And you bring up this concept of agents, let's tease into that a little bit explain what you mean when you're talking about agents. Greg Lindsay 28:36 Yeah, so agentic systems, as the term of art is, AI instantiations that have some level of autonomy. And the archetypal example of this is the Stanford Smallville experiment, where they took basically a dozen large language models and they gave it an architecture where they could give it a little bit of backstory, ruminate on it, basically reflect, think, decide, and then act. And in this case, they used it to plan a Valentine's Day party. So they played out real time, and the LLM agents, like, even played matchmaker. They organized the party, they sent out invitations, they did these sorts of things. Was very cute. They put it out open source, and like, three weeks later, another team of researchers basically put them to work writing software programs. So you can see they organized their own workflow. They made their own decisions. There was a CTO. They fact check their own work. And this is evolving into this grand vision of, like, 1000s, millions of agents, just like, just like you spin up today an instance of Amazon Web Services to, like, host something in the cloud. You're going to spin up an agent Nvidia has talked about doing with healthcare and others. So again, coming back to like, the energy implications of that, because it changes the whole pattern. Instead of huge training runs requiring giant data centers. You know, it's these agents who are making all these calls and doing more stuff at the edge, but, um, but yeah, in this case, it's the notion of, you know, what can you put the agents to work doing? And I bring this up again, back to, like, predictive maintenance, or for hydro Ottawa, there's another amazing paper called virtual in real life. And I chatted with one of the principal authors. It created. A half dozen agents who could play tour guide, who could direct you to a coffee shop, who do these sorts of things, but they weren't doing it in a virtual world. They were doing it in the real one. And to do it in the real world, you took the agent, you gave them a machine vision capability, so added that model so they could recognize objects, and then you set them loose inside a digital twin of the world, in this case, something very simple, Google Street View. And so in the paper, they could go into like New York Central Park, and they could count every park bench and every waste bin and do it in seconds and be 99% accurate. And so agents were monitoring the landscape. Everything's up, because you can imagine this in the real world too, that we're going to have all the time. AIS roaming the world, roaming these virtual maps, these digital twins that we build for them and constantly refresh from them, from camera data, from sensor data, from other stuff, and tell us what this is. And again, to me, it's really exciting, because that's finally like an operating system for the internet of things that makes sense, that's not so hardwired that you can ask agents, can you go out and look for this for me? Can you report back on this vital system for me? And they will be able to hook into all of these kinds of representations of real time data where they're emerging from, and give you aggregated reports on this one. And so, you know, I think we have more visibility in real time into the real world than we've ever had before. Trevor Freeman 31:13 Yeah, I want to, I want to connect a few dots here for our listeners. So bear with me for a second. Greg. So for our listeners, there was a podcast episode we did about a year ago on our grid modernization roadmap, and we talked about one of the things we're doing with grid modernization at hydro Ottawa and utilities everywhere doing this is increasing the sensor data from our grid. So we're, you know, right now, we've got visibility sort of to our station level, sometimes one level down to some switches. But in the future, we'll have sensors everywhere on our grid, every switch, every device on our grid, will have a sensor gathering data. Obviously, you know, like you said earlier, millions and hundreds of millions of data points every second coming in. No human can kind of make decisions on that, and what you're describing is, so now we've got all this data points, we've got a network of information out there, and you could create this agent to say, Okay, you are. You're my transformer agent. Go out there and have a look at the run temperature of every transformer on the network, and tell me where the anomalies are, which ones are running a half a degree or two degrees warmer than they should be, and report back. And now I know hydro Ottawa, that the controller, the person sitting in the room, knows, Hey, we should probably go roll a truck and check on that transformer, because maybe it's getting end of life. Maybe it's about to go and you can do that across the entire grid. That's really fascinating, Greg Lindsay 32:41 And it's really powerful, because, I mean, again, these conversations 20 years ago at IoT, you know you're going to have statistical triggers, and you would aggregate these data coming off this, and there was a lot of discussion there, but it was still very, like hardwired, and still very Yeah, I mean, I mean very probabilistic, I guess, for a word that went with agents like, yeah, you've now created an actual thing that can watch those numbers and they can aggregate from other systems. I mean, lots, lots of potential there hasn't quite been realized, but it's really exciting stuff. And this is, of course, where that whole direction of the industry is flowing. It's on everyone's lips, agents. Trevor Freeman 33:12 Yeah. Another term you mentioned just a little bit ago that I want you to explain is a digital twin. So tell us what a digital twin is. Greg Lindsay 33:20 So a digital twin is, well, the matrix. Perhaps you could say something like this for listeners of a certain age, but the digital twin is the idea of creating a model of a piece of equipment, of a city, of the world, of a system. And it is, importantly, it's physics based. It's ideally meant to represent and capture the real time performance of the physical object it's based on, and in this digital representation, when something happens in the physical incarnation of it, it triggers a corresponding change in state in the digital twin, and then vice versa. In theory, you know, you could have feedback loops, again, a lot of IoT stuff here, if you make changes virtually, you know, perhaps it would cause a change in behavior of the system or equipment, and the scales can change from, you know, factory equipment. Siemens, for example, does a lot of digital twin work on this. You know, SAP, big, big software companies have thought about this. But the really crazy stuff is, like, what Nvidia is proposing. So first they started with a digital twin. They very modestly called earth two, where they were going to model all the weather and climate systems of the planet down to like the block level. There's a great demo of like Jensen Wong walking you through a hurricane, typhoons striking the Taipei, 101, and how, how the wind currents are affecting the various buildings there, and how they would change that more recently, what Nvidia is doing now is, but they just at their big tech investor day, they just partner with General Motors and others to basically do autonomous cars. And what's crucial about it, they're going to train all those autonomous vehicles in an NVIDIA built digital twin in a matrix that will act, that will be populated by agents that will act like people, people ish, and they will be able to run millions of years of autonomous vehicle training in this and this is how they plan to catch up to. Waymo or, you know, if Tesla's robotaxis are ever real kind of thing, you know, Waymo built hardwired like trained on real world streets, and that's why they can only operate in certain operating domain environments. Nvidia is gambling that with large language models and transformer models combined with digital twins, you can do these huge leapfrog effects where you can basically train all sorts of synthetic agents in real world behavior that you have modeled inside the machine. So again, that's the kind, that's exactly the kind of, you know, environment that you're going to train, you know, your your grid of the future on for modeling out all your contingency scenarios. Trevor Freeman 35:31 Yeah, again, you know, for to bring this to the to our context, a couple of years ago, we had our the direcco. It's a big, massive windstorm that was one of the most damaging storms that we've had in Ottawa's history, and we've made some improvements since then, and we've actually had some great performance since then. Imagine if we could model that derecho hitting our grid from a couple different directions and figure out, well, which lines are more vulnerable to wind speeds, which lines are more vulnerable to flying debris and trees, and then go address that and do something with that, without having to wait for that storm to hit. You know, once in a decade or longer, the other use case that we've talked about on this one is just modeling what's happening underground. So, you know, in an urban environments like Ottawa, like Montreal, where you are, there's tons of infrastructure under the ground, sewer pipes, water pipes, gas lines, electrical lines, and every time the city wants to go and dig up a road and replace that road, replace that sewer, they have to know what's underground. We want to know what's underground there, because our infrastructure is under there. As the electric utility. Imagine if you had a model where you can it's not just a map. You can actually see what's happening underground and determine what makes sense to go where, and model out these different scenarios of if we underground this line or that line there. So lots of interesting things when it comes to a digital twin. The digital twin and Agent combination is really interesting as well, and setting those agents loose on a model that they can play with and understand and learn from. So talk a little bit about. Greg Lindsay 37:11 that. Yeah. Well, there's a couple interesting implications just the underground, you know, equipment there. One is interesting because in addition to, like, you know, you know, having captured that data through mapping and other stuff there, and having agents that could talk about it. So, you know, next you can imagine, you know, I've done some work with augmented reality XR. This is sort of what we're seeing again, you know, meta Orion has shown off their concept. Google's brought back Android XR. Meta Ray Bans are kind of an example of this. But that's where this data will come from, right? It's gonna be people wearing these wearables in the world, capturing all this camera data and others that's gonna be fed into these digital twins to refresh them. Meta has a particularly scary demo where you know where you the user, the wearer leaves their keys on their coffee table and asks metas, AI, where their coffee where their keys are, and it knows where they are. It tells them and goes back and shows them some data about it. I'm like, well, to do that, meta has to have a complete have a complete real time map of your entire house. What could go wrong. And that's what all these companies aspire to of reality. So, but yeah, you can imagine, you know, you can imagine a worker. And I've worked with a startup out of urban X, a Canada startup, Canadian startup called context steer. And you know, is the idea of having real time instructions and knowledge manuals available to workers, particularly predictive maintenance workers and line workers. So you can imagine a technician dispatched to deal with this cut in the pavement and being able to see with XR and overlay of like, what's actually under there from the digital twin, having an AI basically interface with what's sort of the work order, and basically be your assistant that can help you walk you through it, in case, you know, you run into some sort of complication there, hopefully that won't be, you know, become like, turn, turn by turn, directions for life that gets into, like, some of the questions about what we wanted out of our workforce. But there's some really interesting combinations of those things, of like, you know, yeah, mapping a world for AIS, ais that can understand it, that could ask questions in it, that can go probe it, that can give you advice on what to do in it. All those things are very close for good and for bad. Trevor Freeman 39:03 You kind of touched on my next question here is, how do we make sure this is all in the for good or mostly in the for good category, and not the for bad category you talk in one of the papers that you wrote about, you know, AI and augmented reality in particular, really expanding the attack surface for malicious actors. So we're creating more opportunities for whatever the case may be, if it's hacking or if it's malware, or if it's just, you know, people that are up to nefarious things. How do we protect against that? How do we make sure that our systems are safe that the users of our system. So in our case, our customers, their data is safe, their the grid is safe. How do we make sure that? Greg Lindsay 39:49 Well, the very short version is, whatever we're spending on cybersecurity, we're not spending enough. And honestly, like everybody who is no longer learning to code, because we can be a quad or ChatGPT to do it, I. Is probably there should be a whole campaign to repurpose a big chunk of tech workers into cybersecurity, into locking down these systems, into training ethical systems. There's a lot of work to be done there. But yeah, that's been the theme for you know that I've seen for 10 years. So that paper I mentioned about sort of smart homes, the Internet of Things, and why people would want a smart home? Well, yeah, the reason people were skeptical is because they saw it as basically a giant attack vector. My favorite saying about this is, is, there's a famous Arthur C Clarke quote that you know, any sufficiently advanced technology is magic Tobias Ravel, who works at Arup now does their head of foresight has this great line, any sufficiently advanced hacking will feel like a haunting meaning. If you're in a smart home that's been hacked, it will feel like you're living in a haunted house. Lights will flicker on and off, and systems will turn and go haywire. It'll be like you're living with a possessed house. And that's true of cities or any other systems. So we need to do a lot of work on just sort of like locking that down and securing that data, and that is, you know, we identified, then it has to go all the way up and down the supply chain, like you have to make sure that there is, you know, a chain of custody going back to when components are made, because a lot of the attacks on nest, for example. I mean, you want to take over a Google nest, take it off the wall and screw the back out of it, which is a good thing. It's not that many people are prying open our thermostats, but yeah, if you can get your hands on it, you can do a lot of these systems, and you can do it earlier in the supply chain and sorts of infected pieces and things. So there's a lot to be done there. And then, yeah, and then, yeah, and then there's just a question of, you know, making sure that the AIs are ethically trained and reinforced. And, you know, a few people want to listeners, want to scare themselves. You can go out and read some of the stuff leaking out of anthropic and others and make clot of, you know, models that are trying to hide their own alignments and trying to, like, basically copy themselves. Again, I don't believe that anything things are alive or intelligent, but they exhibit these behaviors as part of the probabilistic that's kind of scary. So there's a lot to be done there. But yeah, we worked on this, the group that I do foresight with Arizona State University threat casting lab. We've done some work for the Secret Service and for NATO and, yeah, there'll be, you know, large scale hackings on infrastructure. Basically the equivalent can be the equivalent can be the equivalent to a weapons of mass destruction attack. We saw how Russia targeted in 2014 the Ukrainian grid and hacked their nuclear plans. This is essential infrastructure more important than ever, giving global geopolitics say the least, so that needs to be under consideration. And I don't know, did I scare you enough yet? What are the things we've talked through here that, say the least about, you know, people being, you know, tricked and incepted by their AI girlfriends, boyfriends. You know people who are trying to AI companions. I can't possibly imagine what could go wrong there. Trevor Freeman 42:29 I mean, it's just like, you know, I don't know if this is 15 or 20, or maybe even 25 years ago now, like, it requires a whole new level of understanding when we went from a completely analog world to a digital world and living online, and people, I would hope, to some degree, learned to be skeptical of things on the internet and learned that this is that next level. We now need to learn the right way of interacting with this stuff. And as you mentioned, building the sort of ethical code and ethical guidelines into these language models into the AI. Learning is pretty critical for our listeners. We do have a podcast episode on cybersecurity. I encourage you to go listen to it and reassure yourself that, yes, we are thinking about this stuff. And thanks, Greg, you've given us lots more to think about in that area as well. When it comes to again, looking back at utilities and managing the grid, one thing we're going to see, and we've talked a lot about this on the show, is a lot more distributed generation. So we're, you know, the days of just the central, large scale generation, long transmission lines that being the only generation on the grid. Those days are ending. We're going to see more distributed generations, solar panels on roofs, batteries. How does AI help a utility manage those better, interact with those better get more value out of those things? Greg Lindsay 43:51 I guess that's sort of like an extension of some of the trends I was talking about earlier, which is the notion of, like, being able to model complex systems. I mean, that's effectively it, right, like you've got an increasingly complex grid with complex interplays between it, you know, figuring out how to basically based on real world performance, based on what you're able to determine about where there are correlations and codependencies in the grid, where point where choke points could emerge, where overloading could happen, and then, yeah, basically, sort of building that predictive system to Basically, sort of look for what kind of complex emergent behavior comes out of as you keep adding to it and and, you know, not just, you know, based on, you know, real world behavior, but being able to dial that up to 11, so to speak, and sort of imagine sort of these scenarios, or imagine, you know, what, what sort of long term scenarios look like in terms of, like, what the mix, how the mix changes, how the geography changes, all those sorts of things. So, yeah, I don't know how that plays out in the short term there, but it's this combination, like I'm imagining, you know, all these different components playing SimCity for real, if one will. Trevor Freeman 44:50 And being able to do it millions and millions and millions of times in a row, to learn every possible iteration and every possible thing that might happen. Very cool. Okay. So last kind of area I want to touch on you did mention this at the beginning is the the overall power implications of of AI, of these massive data centers, obviously, at the utility, that's something we are all too keenly aware of. You know, the stat that that I find really interesting is a normal Google Search compared to, let's call it a chat GPT search. That chat GPT search, or decision making, requires 10 times the amount of energy as that just normal, you know, Google Search looking out from a database. Do you see this trend? I don't know if it's a trend. Do you see this continuing like AI is just going to use more power to do its decision making, or will we start to see more efficiencies there? And the data centers will get better at doing what they do with less energy. What is the what does the future look like in that sector? Greg Lindsay 45:55 All the above. It's more, is more, is more! Is the trend, as far as I can see, and every decision maker who's involved in it. And again, Jensen Wong brought this up at the big Nvidia Conference. That basically he sees the only constraint on this continuing is availability of energy supplies keep it going and South by Southwest. And in some other conversations I've had with bandwidth companies, telcos, like laying 20 lumen technologies, United States is laying 20,000 new miles of fiber optic cables. They've bought 10% of Corning's total fiber optic output for the next couple of years. And their customers are the hyperscalers. They're, they're and they're rewiring the grid. That's why, I think it's interesting. This has something, of course, for thinking about utilities, is, you know, the point to point Internet of packet switching and like laying down these big fiber routes, which is why all the big data centers United States, the majority of them, are in north of them are in Northern Virginia, is because it goes back to the network hub there. Well, lumen is now wiring this like basically this giant fabric, this patchwork, which can connect data center to data center, and AI to AI and cloud to cloud, and creating this entirely new environment of how they are all directly connected to each other through some of this dedicated fiber. And so you can see how this whole pattern is changing. And you know, the same people are telling me that, like, yeah, the where they're going to build this fiber, which they wouldn't tell me exactly where, because it's very tradable, proprietary information, but, um, but it's following the energy supplies. It's following the energy corridors to the American Southwest, where there's solar and wind in Texas, where you can get natural gas, where you can get all these things. It will follow there. And I of course, assume the same is true in Canada as we build out our own sovereign data center capacity for this. So even, like deep seek, for example, you know, which is, of course, the hyper efficient Chinese model that spooked the markets back in January. Like, what do you mean? We don't need a trillion dollars in capex? Well, everyone's quite confident, including again, Jensen Wong and everybody else that, yeah, the more efficient models will increase this usage. That Jevons paradox will play out once again, and we'll see ever more of it. To me, the question is, is like as how it changes? And of course, you know, you know, this is a bubble. Let's, let's, let's be clear, data centers are a bubble, just like railroads in 1840 were a bubble. And there will be a bust, like not everyone's investments will pencil out that infrastructure will remain maybe it'll get cheaper. We find new uses for it, but it will, it will eventually bust at some point and that's what, to me, is interesting about like deep seeking, more efficient models. Is who's going to make the wrong investments in the wrong places at the wrong time? But you know, we will see as it gathers force and agents, as I mentioned. You know, they don't require, as much, you know, these monstrous training runs at City sized data centers. You know, meta wanted to spend $200 billion on a single complex, the open AI, Microsoft, Stargate, $500 billion Oracle's. Larry Ellison said that $100 billion is table stakes, which is just crazy to think about. And, you know, he's permitting three nukes on site. So there you go. I mean, it'll be fascinating to see if we have a new generation of private, private generation, right, like, which is like harkening all the way back to, you know, the early electrical grid and companies creating their own power plants on site, kind of stuff. Nicholas Carr wrote a good book about that one, about how we could see from the early electrical grid how the cloud played out. They played out very similarly. The AI cloud seems to be playing out a bit differently. So, so, yeah, I imagine that as well, but, but, yeah, well, inference happen at the edge. We need to have more distributed generation, because you're gonna have AI agents that are going to be spending more time at the point of request, whether that's a laptop or your phone or a light post or your autonomous vehicle, and it's going to need more of that generation and charging at the edge. That, to me, is the really interesting question. Like, you know, when these current generation models hit their limits, and just like with Moore's law, like, you know, you have to figure out other efficiencies in designing chips or designing AIS, how will that change the relationship to the grid? And I don't think anyone knows quite for sure yet, which is why they're just racing to lock up as many long term contracts as they possibly can just get it all, core to the market. Trevor Freeman 49:39 Yeah, it's just another example, something that comes up in a lot of different topics that we cover on this show. Everything, obviously, is always related to the energy transition. But the idea that the energy transition is really it's not just changing fuel sources, like we talked about earlier. It's not just going from internal combustion to a battery. It's rethinking the. Relationship with energy, and it's rethinking how we do things. And, yeah, you bring up, like, more private, massive generation to deal with these things. So really, that whole relationship with energy is on scale to change. Greg, this has been a really interesting conversation. I really appreciate it. Lots to pack into this short bit of time here. We always kind of wrap up our conversations with a series of questions to our guests. So I'm going to fire those at you here. And this first one, I'm sure you've got lots of different examples here, so feel free to give more than one. What is a book that you've read that you think everybody should read? Greg Lindsay 50:35 The first one that comes to mind is actually William Gibson's Neuromancer, which is which gave the world the notion of cyberspace and so many concepts. But I think about it a lot today. William Gibson, Vancouver based author, about how much in that book is something really think about. There is a digital twin in it, an agent called the Dixie flatline. It's like a former program where they cloned a digital twin of him. I've actually met an engineering company, Thornton Thomas Eddie that built a digital twin of one of their former top experts. So like that became real. Of course, the matrix is becoming real the Turing police. Yeah, there's a whole thing in there where there's cops to make sure that AIS don't get smarter. I've been thinking a lot about, do we need Turing police? The EU will probably create them. And so that's something where you know the proof, again, of like science fiction, its ability in world building to really make you think about these implications and help for contingency planning. A lot of foresight experts I work with think about sci fi, and we use sci fi for exactly that reason. So go read some classic cyberpunk, everybody. Trevor Freeman 51:32 Awesome. So same question. But what's a movie or a show that you think everybody should take a look at? Greg Lindsay 51:38 I recently watched the watch the matrix with ideas, which is fun to think about, where the villains are, agents that villains are agents. That's funny how that terms come back around. But the other one was thinking about the New Yorker recently read a piece on global demographics and the fact that, you know, globally, less and less children. And it made several references to Alfonso Quons, Children of Men from 2006 which is, sadly, probably the most prescient film of the 21st Century. Again, a classic to watch, about imagining in a world where we don't where you where you lose faith in the future, what happens, and a world that is not having children as a world that's losing faith in its own future. So that's always haunted me. Trevor Freeman 52:12 It's funny both of those movies. So I've got kids as they get, you know, a little bit older, a little bit older, we start introducing more and more movies. And I've got this list of movies that are just, you know, impactful for my own adolescent years and growing up. And both matrix and Children of Men are on that list of really good movies that I just need my kids to get a little bit older, and then I'm excited to watch with them. If someone offered you a free round trip flight anywhere in the world, where would you go? Greg Lindsay 52:40 I would go to Venice, Italy for the Architecture Biennale, which I will be on a plane in May, going to anyway. And the theme this year is intelligence, artificial, natural and collective. So it should be interesting to see the world's brightest architects. Let's see what we got. But yeah, Venice, every time, my favorite city in the world. Trevor Freeman 52:58 Yeah, it's pretty wonderful. Who is someone that you admire? Greg Lindsay 53:01 Great question.
This episode recorded live at the Becker's 22nd Annual Spine, Orthopedic and Pain Management-Driven ASC + The Future of Spine Conference features Dr. Robert S. Bray, Founding Director, DISC Sports & Spine Center. Dr. Bray shares insights on the accelerating shift toward outpatient spine care, the rise of global payment models, the role of AI across healthcare operations, and the importance of creating sustainable pathways for the next generation of surgeons.
Vinita Rashinkar is a spiritual healer, writer, speaker and wellness expert. She is the Founding Director of Sri Chakra Yantra Foundation, a not-for-profit organisation created with the intention of bringing individuals and organisations together to improve health and well-being, cultivate spiritual knowledge, expand consciousness and provide authentic information about Tantra and Sri Vidya as outlined in the Hindu Scriptures. Vinita's first book “Sri Chakra Yantra” was published in 2019, second book “Chakras” in 2020, third book “Tantra, Mantra and Yantra of Sri Vidya in 2021 and fourth book “The Sacred Sounds of Sri Vidya” was published in 2022. The fifth book “Dasa Mahavidya – The Ten Great Tantric Wisdom Goddesses” was released in August 2023. She has studied principles of Ayurveda, yoga, meditation, chanting, chakras, stress management and spiritual counselling under various masters for the past 23 years.Vinita is the Founder and Managing Director of Amara Vedic Wellness GmbH, a Dusseldorf based company founded with the intention to bring the hidden aspects of Vedic knowledge to the common man, thereby promoting total wellness encompassing the body, mind and spirit. She has a Masters degree in English Literature and is a gold medallist and rank holder at Bachelors and Masters degree levels. She has studied at London College of Fashion and done an executive program at Harvard Business School.The topics we cover in this episode are:- Tantra, yantra, mantra, mudras & Kundalini Shakti Sanata- Sri Yantra – the blueprint of the Universe (sacred geometry)- The Dasa Mahavidya – ten great wisdoms- Shiva and Shakti- Kali (time)- Tara (combustion)- Lalita Tripura Sundari (beauty)- Bhuvaneshvari (Mother Earth)- Bhairavi - Chinnamasta- Dhumavati (Crone)- Bagalamukhi- Matangi (knowledge)- Kamalatmika (Kamala)Visit Vinita: https://vinitarashinkar.in/ and https://www.instagram.com/vinita_rashinkarVinita's book on the Dasa Mahavidya: https://vinitarashinkar.in/dasa-mahavidya/ Vinita's book on Tantra, Mantra and Yantra: https://vinitarashinkar.in/tantra-mantra-and-yantra-of-sri-vidya/Book a session with Vinita: https://meet.vinitarashinkar.in/My Law of Positivism Healing Oracle Card Deck:https://www.lawofpositivism.com/healingoracle.htmlMy book The Law of Positivism – Live a life of higher vibrations, love and gratitude:https://www.lawofpositivism.com/book.html My readings and healing sessions:https://www.lawofpositivism.com/offerings.htmlVisit Law of Positivism:https://www.instagram.com/lawofpositivism/Website: https://www.lawofpositivism.com/Facebook: https://www.facebook.com/lawofpositivism/ YouTube: https://www.youtube.com/lawofpositivism
Associate Professor and Founding Director of The Race, Politics, and Policy Center at George Mason University, Dr Michael K. Fauntroy talks about Trump's attack on diversity and Black leadership at George Mason University and the Voting Rights Act at 60 years old. Become a supporter of this podcast: https://www.spreaker.com/podcast/tavis-smiley--6286410/support.
On this week's Education Gadfly Show, Ben Austin, Founding Director of Education Civil Rights Now, joins us to discuss why the Democratic Party lost its way on education policy—and what it must do to rebuild credibility and improve its chances in national elections.Then, on the Research Minute, Adam shares a new study on state takeovers of school districts, examining who benefits and how these interventions impact district finances.Recommended content: “Democrats have lost their way on education policy. Here's how to get back on track.” —Ben Austin, The Hill“Democrats need to break up with Randi Weingarten” —Ben Austin, The Hill“Trump's school choice initiative puts Democratic governors in a bind” —Michael J. Petrilli, Thomas B. Fordham Institute“Help wanted: Ed-reform governors needed (again)” —Chester E. Finn, Jr., Thomas B. Fordham Institute“How state takeovers of school districts affect education finance, 1990 to 2019”—Melissa Arnold Lyon, Joshua Bleiberg, and Beth Schueler, Education Finance and Policy (2025)Feedback Welcome: Have ideas for improving our podcast? Send them to Alicia Anderson at aanderson@fordhaminstitute.org.
Traditional religion in the United States has suffered huge losses in recent decades. The number of Americans identifying as “not religious” has increased remarkably. Religious affiliation, service attendance, and belief in God have declined. More and more people claim to be “spiritual but not religious.” Religious organizations have been reeling from revelations of sexual and financial scandals and cover-ups. Public trust in “organized religion” has declined significantly. Crucially, these religious losses are concentrated among younger generations. This means that, barring unlikely religious revivals among youth, the losses will continue and accelerate in time, as less-religious younger Americans replace older more-religious ones and increasingly fewer American children are raised by religious parents. All this is clear. But what is less clear is exactly why this is happening. We know a lot more about the fact that traditional American religion has declined than we do about why this is so. Christian Smith is the William R. Kenan, Jr. Professor of Sociology and Founding Director of the Center for the Study of Religion and Society at the University of Notre Dame. Smith is well known for his research focused on religion, adolescents and emerging adults, and social theory. He has written many books, including Divided by Faith, Soul Searching, and Moral, Believing Animals. His new book is Why Religion Went Obsolete: The Demise of Traditional Faith in America.
This episode recorded live at the Becker's 22nd Annual Spine, Orthopedic and Pain Management-Driven ASC + The Future of Spine Conference features Dr. Robert S. Bray, Founding Director, DISC Sports & Spine Center. Dr. Bray shares insights on the accelerating shift toward outpatient spine care, the rise of global payment models, the role of AI across healthcare operations, and the importance of creating sustainable pathways for the next generation of surgeons.
This episode recorded live at the Becker's 22nd Annual Spine, Orthopedic and Pain Management-Driven ASC + The Future of Spine Conference features Dr. Robert S. Bray, Founding Director, DISC Sports & Spine Center. Dr. Bray shares insights on the accelerating shift toward outpatient spine care, the rise of global payment models, the role of AI across healthcare operations, and the importance of creating sustainable pathways for the next generation of surgeons.
In the second of this two-part series, EELP's Founding Director and Harvard Law Professor Jody Freeman speaks with William Reilly, EPA Administrator under President George H.W. Bush, and Christine Todd Whitman, EPA Administrator under President George W. Bush. They discuss their time at EPA including efforts to simultaneously advance environmental protections and economic growth. They also discussed the consequences of current changes to the agency under the Trump administration, including the loss of scientific expertise, and they highlight current career opportunities for people dedicated to public service. Transcript: https://eelp.law.harvard.edu/wp-content/uploads/2025/07/CleanLaw_EP106-Transcript.pdf
In the first of this two-part series, EELP's Founding Director and Harvard Law Professor Jody Freeman speaks with Gina McCarthy, EPA Administrator under President Obama and the White House National Climate Advisor under President Biden. They discuss Gina's time at EPA, including the agency's mission to safeguard public health and the environment through actions that rely on robust science, technology, data, and policymaking expertise. They also review current actions by the Trump administration and discuss how private and nonprofit stakeholders and federal and state policymakers can work together to make progress on climate change and other environmental justice and public health issues. Transcript (PDF): https://eelp.law.harvard.edu/wp-content/uploads/2025/07/CleanLaw_EP105-Transcript.pdf
Interview recorded - 25th of July, 2025On this episode of the WTFinance podcast I had the pleasure to welcome back Professor Richard Wolff. Richard is a well-known critic of an alternative contemporary economic system, host of the Economic Update and Founding Director of Democracy at work. During our conversation we spoke about the economic outlook, continued escalation in our society, what needs to change, extreme politics and more. I hope you enjoy!1:08 - Introduction1:24 - Economic outlook19:22 - Continued escalation26:23 - What needs to change?29:07 - Socialist politicians32:17 - One message to takeaway?Richard D. Wolff is Professor of Economics Emeritus, University of Massachusetts, Amherst where he taught economics from 1973 to 2008. He is currently a Visiting Professor in the Graduate Program in International Affairs of the New School University, New York City.Earlier he taught economics at Yale University (1967-1969) and at the City College of the City University of New York (1969-1973). In 1994, he was a Visiting Professor of Economics at the University of Paris (France), I (Sorbonne). Wolff was also regular lecturer at the Brecht Forum in New York City.Prof Wolff is the co-founder of Democracy at Work and host of their nationally syndicated show Economic Update. Professor Richard Wolff:Democracy at work: https://www.democracyatwork.info/Website: https://www.rdwolff.com/X: https://x.com/profwolffYouTube: @RichardDWolff WTFinance -Instagram - https://www.instagram.com/wtfinancee/Spotify - https://open.spotify.com/show/67rpmjG92PNBW0doLyPvfniTunes - https://podcasts.apple.com/us/podcast/wtfinance/id1554934665?uo=4Twitter - https://twitter.com/AnthonyFatseas
If you are listening to this podcast, I'm guessing religion plays an important role in your life. It certainly does in mine. That's why I was a little put off by the title of Christian Smith's new book Why Religion Went Obsolete: The Demise of Traditional Faith in America. Religion is certainly not obsolete in my life. But I must say: After reading the book, and after having the conversation with him that you are about to hear, I think he may be right. Of course, a great deal hinges on how you define such words as “traditional faith” and “obsolete.” We'll talk about that in today's conversation. But even if he is not right in his overarching premise, a great many of the facts and details of his argument are worth consideration. James Davison Hunter, the elder statesman in the field of the sociology of religion has called Why Religion Went Obsolete an “era-defining book.” I completely agree with this assessment, and I recommend this book. And I hope this brief conversation with Christian Smith that I'm sharing with you will motivate you to go out and get it, read it, and discuss it with the folks in your church. Christian Smith is the William R. Kenan Jr. Professor of Sociology and Founding Director of the Center for the Study of Religion and Society at the University of Notre Dame. His previous books include Soul Searching: The Religious and Spiritual Lives of American Teenagers, a book in which he coined the phrase “moralistic therapeutic deism” to describe the religious belief of young people. It's a phrase that has become a part of the religious lexicon. Christian Smith spoke to me via zoom from his home in South Bend, Indiana. The producer for today's program is Jeff McIntosh. I'm your host Warren Smith. Until next time, may God bless you.
Harness the power of suggestion for well-being, pain management, and mental health. Dr. Amir Raz is a world-renowned expert on the science of suggestion with recent positions as Canada Research Chair, Professor of Psychiatry, Neurology and Neurosurgery, and Psychology at McGill University, and as Founding Director of The Institute for Interdisciplinary Brain and Behavioral Sciences at Chapman University. His most recent book is The Suggestible Brain: The Science and Magic of How We Make Up Our Minds. In this episode we talk about: How Dr. Raz transitioned from a career in magic to neuroscience The science of suggestibility, how it's defined, and its relation to hypnosis Stage hypnosis vs medical hypnosis How the power of suggestion could be therapeutically harnessed to impact our physiology, behavior, and well-being Practical exercises for increasing thought control The "magical ingredient" when it comes to dealing with life's challenges Why placebos may work even when you know you're taking them How we protect ourselves against mis–and–disinformation And much more Join Dan's online community here Follow Dan on social: Instagram, TikTok Subscribe to our YouTube Channel To advertise on the show, contact sales@advertisecast.com or visit https://advertising.libsyn.com/10HappierwithDanHarris.
Stand Up is a daily podcast. I book,host,edit, post and promote new episodes with brilliant guests every day. Please subscribe now for as little as 5$ and gain access to a community of over 750 awesome, curious, kind, funny, brilliant, generous souls Check out StandUpwithPete.com to learn more Outclassed: How the Left Lost the Working Class and How to Win Them Back Described as having “something approaching rock star status” in her field by The New York Times Magazine, Joan C. Williams is a scholar of social inequality and a prominent public intellectual. Williams is the author of 12 books and 116 academic articles in law, sociology, psychology, medical and management journals. She is the 11th most cited legal scholar both in critical theory and employment law. She is a Sullivan Professor and the Founding Director of the Equality Action Center at UC Law San Francisco, former Founding Director of the Center for WorkLife Law. She has three TED/TEDx talks, including one with over 1.3 million views. Her 2016 essay on why Trump attracted so many non-college voters went viral, with over 3.7 million reads, becoming the most-read article in the 90-year history of Harvard Business Review. She is widely known for “bias interrupters,”—an evidence-based metrics-driven approach to eradicating implicit bias introduced in the Harvard Business Review in 2014. The website biasinterrupters.org with open-sourced toolkits for individuals and organizations has been accessed over 500,000 times. She was profiled in Financial Times and has published on class dynamics in American politics in The New York Times, Washington Post, The Atlantic, The New Republic, Politico, The Hill, the Wall Street Journal and elsewhere. Her work on class includes her upcoming book Outclassed: How the Left Lost the Working Class – And How to Win Them Back (forthcoming St. Martin's, May 2025) and her critically acclaimed 2017 book White Working Class – one of three books President Biden carried, dog-eared and annotated, during his 2020 presidential campaign, according to the Washington Post. Her work on gender includes What Works for Women at Work: Four Patterns Working Women Need to Know (NYU Press, 2014) and her prize-winning Unbending Gender: Why Family and Work Conflict and What To Do About It (Oxford, 1999). Williams' work helped create the field of work-family studies, modern workplace flexibility policies, and the study of maternal wall bias in sociology. Her work on race includes eight studies documenting how racial and gender bias play out in today's workplaces, including two focused specifically on women of color: Pinning down the Jellyfish: Racial and Gender Bias against Women in Tech (2022) and Double Jeopardy? Gender Bias against Women of Color in STEM (2014). She is a leading voice on diversity, equity, and inclusion; with her team, she has published 39 articles published in Harvard Business Review. In 2014, she launched Bias Interrupters, a data-driven approach to interrupting bias in organizations whose website has been downloaded over half a million times. Williams has received awards in several different fields. For her contributions to the legal profession, she is one of the few people to receive both the American Bar Foundation's Outstanding Scholar Award (2012) and the ABA's Margaret Brent Women Award for Lawyers of Achievement (2006). For her contributions to the work-family field, she received the Work Life Legacy Award from the Families and Work Institute (2014) and MSOM Responsible Research Award in Operations Management (2022). For her contributions to women's advancement in engineering, she received the President's Award from the Society of Women Engineers (2019). For contributions to psychology, she received the Distinguished Publication Award from the Association for Women in Psychology (2005). Her work has been funded by three National Science Foundation grants, as well as grants from Alfred P. Sloan Foundation, the W. W. Kellogg Foundation, the Ford Foundation, the Robert Wood Johnson Foundation. She holds degrees from Yale, Harvard, and MIT as well as an honorary PhD from Utrecht University in the Netherlands. Join us Monday's and Thursday's at 8EST for our Twice Weekly Happy Hour Hangout's ! Pete on Blue Sky Pete on Threads Pete on Tik Tok Pete on YouTube Pete on Twitter Pete On Instagram Pete Personal FB page Stand Up with Pete FB page All things Jon Carroll Follow and Support Pete Coe Buy Ava's Art Hire DJ Monzyk to build your website or help you with Marketing Gift a Subscription https://www.patreon.com/PeteDominick/gift
In this episode, I'm talking with pediatrician and author Ken Ginsburg about his new book Lighthouse Parenting. Ken shares his powerful framework for showing up as a steady, loving guide for our kids—offering both support and boundaries as they grow. We get into what it means to really know and prepare our kids, how to be their safe harbor in tough times, and why our own self-care matters just as much as theirs, especially in today's world of social media and constant pressure. About Dr. Ken Ginsburg Dr. Ken Ginsburg practices Adolescent Medicine at The Children's Hospital of Philadelphia and is a Professor of Pediatrics at the University of Pennsylvania School of Medicine. Dr. Ginsburg practices social adolescent medicine – service with special attention to prevention and the recognition that social context and stressors affect both physical and emotional health. His research over the last 35 years has focused on facilitating youth to develop their own solutions to social problems and to teach adults how to better serve them. He is the Founding Director of The Center for Parent and Teen Communications which works to empower parents with the skill-sets to strengthen their family connections and position them to guide their teens to become their best selves. It works to shift the cultural narrative about adolescence from being a time to survive to one in which development is to be optimized. His books include, Building Resilience in Children and Teens: Giving Kids Roots and Wings; Congrats- You're Having a Teen!: Strengthen Your Family and Raise a Good Person; and Lighthouse Parenting:Raising your Child with Loving Guidance for an Enduring Bond. All of these works are published by The American Academy of Pediatrics. He currently works with Covenant House International's 35 sites to solidify and magnify their practice model rooted in the healing power of loving and respectful adult connections with youth. Things you'll learn from this episode What “lighthouse parenting” is and how it offers a research-backed framework for guiding kids to grow up as resilient, thriving adults What it means to be a “secure base” for our kids and the power of stability in fostering resilience in all children Why preparing kids for life's challenges starts with feeling unconditionally loved and truly known Why self-care, authentic modeling, and genuine repair are essential for strong parent-child relationships What it means to “actively see the best in our child” and why it matters Resources mentioned About Dr. Ken Ginsburg Center for Parent and Teen Communication Fostering Resilience Lighthouse Parenting: Raising your Child with Loving Guidance for an Enduring Bond by Dr. Ken Ginsburg Congrats—You're Having a Teen! Strengthen Your Family and Raise a Good Person by Dr. Ken Ginsburg Building Resilience in Children and Teens: Giving Kids Roots and Wings by Dr. Ken Ginsburg Dr. Devorah Heitner on Helping Kids Thrive in a Digital World (Tilt Parenting Podcast) Dr. Devorah Heitner on Parenting Kids Growing Up in Public (Tilt Parenting Podcast) Learn more about your ad choices. Visit podcastchoices.com/adchoices
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