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3 episodes with Mathematical statistics
2 episodes with Mathematical statistics
3 episodes with Mathematical statistics
3 episodes with Mathematical statistics
Dr. Boyce D. Watkins is a distinguished American author, political analyst, and social influencer, renowned for his advocacy in education, economic empowerment, and social justice. He has made significant contributions through various media appearances, including CNN, Good Morning America, MSNBC, Fox News, BET, and NPR. citeturn0search11 Early Life and Education: Born on June 20, 1971, in Louisville, Kentucky. citeturn0search11 Overcame early academic challenges, eventually earning a triple major in Finance, Economics, and Business Management from the University of Kentucky. citeturn0search11 Completed a Master's Degree in Mathematical Statistics from the University of Kentucky and a Ph.D. in Finance from Ohio State University in 2002. citeturn0search11 Career Highlights: Served on the finance faculty at Syracuse University. citeturn0search11 Visiting scholar at Texas Southern University and visiting fellow at the Shanghai University of Finance and Economics. citeturn0search11 Founded The Black Business School, empowering millions with financial education and wealth-building strategies. citeturn0search3 Publications: Authored several financial advice books, including "Financial Lovemaking 101" and "Black American Money." citeturn0search11 His recent work, "The 10 Commandments of Black Economic Power," offers strategies for economic empowerment within the Black community. citeturn0search4 Advocacy and Media Presence: Regularly appears on national media outlets discussing topics related to finance and social justice. citeturn0search11 Hosts podcasts and speaks at events focused on financial literacy and economic empowerment. citeturn0search7 Personal Life: Married to Dr. Alicia Watkins, a licensed therapist and full professor of social work. citeturn0search2 Resides with his wife and her three children from a previous marriage: Nicole, Taylor, and Quincy. Dr. Watkins continues to be a leading voice in promoting financial literacy and economic empowerment, particularly within the African American community.
Bronwyn Williams & Germinal G. Van | The Small Print In this episode, Bronwyn speaks to entrepreneur and political scientist, Germinal G. Van. They discuss the relationship between capitalism and wealth inequality, inequality vs unfairness, the effect of monetary policy on inflation, the virtues of a commodity-backed economy, the entrepreneurial culture of Anglo-Saxon countries, and more. Bronwyn Williams is a futurist, economist, trend analyst and host of The Small Print. Her day job as a partner at Flux Trends involves helping business leaders to use foresight to design the future they want to live and work in. You may have seen her talking about Transhumanism or Tikok on Carte Blanche, or heard her talking about trends on 702 or CNBC Africa where she is a regular expert commentator. When she's not talking to brands and businesses about the future, you will probably find her curled up somewhere with a (preferably paperback) book. She tweets at @bronwynwilliams. Twitter Flux Trends Website Germinal G. Van is an award-winning author, economist, political scientist, and scholar. He is a member of the National Association of Business Economics and the Economic History Association. He was born in Abidjan, Cote d'Ivoire. He immigrated to the United States in 2010. He obtained a bachelor's degree in political science from the Catholic University of America in 2014, earned a master's degree in political management from George Washington University in 2017, and acquired a non-degree certificate in Mathematical Statistics from Duke University. His works mainly focus on Public Choice Theory, Economic History, Econometrics, Statistics, and Mathematical Economics. GGV Publishing Company, LLC The Lake Street Review, Inc. Instagram Twitter LinkedIn Subscribe to our Substack. Follow us on Social Media: YouTube LinkedIn Facebook Twitter Instagram Subscribe to the Discourse ZA Podcast: iTunes Stitcher Spotify RSS feed
A PhD in Mathematical Statistics, Prof Mark Nasila is leading the Artificial Intelligence project at FNB, Africa's most innovative bank. Given his passion, Nasila has kept a close eye on the past week's drama around the firing and re-hiring of Sam Altman, rockstar of the global AI industry and co-founder of the world's hottest start-up, the enterprise which created ChatGPT. In this wide-ranging episode of UNDICTATED, Nasila also shares insights on how South Africa is performing in the AI revolution (poorly) and what can be done to leapfrog the nation's slow start. He spoke to BizNews editor Alec Hogg
In this episode, host Sue Stockdale welcomes Kevin Chapman, co-founder of the Physical Intelligence Institute. Kevin shares his passion for helping people perform at their best by understanding and utilizing the full potential of their bodies. He introduces the concept of physical intelligence and explores how our bodies can impact our confidence and anxiety levels. Through science and practical applications, Kevin empowers listeners to optimise their performance and achieve their desired outcomes.About Kevin Chapman Kevin Chapman is a highly experienced coach, consultant, trainer, communication specialist and business leader. As managing director of RADA Business, Kevin built a market-leading performance brand in communication training and leadership impact, growing the business substantially over 5 years. This work included developing pioneering training for women in multiple countries to build confidence and presence at work. Kevin holds a degree in Mathematical Statistics and Operations Research from Exeter University, an MBA and is a qualified coach. He is also a Trustee of the Comedy School and supporter of The Forgiveness Project.Connect with Kevin Chapman via Website : LinkedInKey Quotes"You can release serotonin by twisting at the waist.""Internal chemistry has a direct impact on our mood.""If we create a fist and push that against our hand, we'll actually generate more testosterone in our system and we may feel that we have a higher level of risk tolerance, which may help us to speak up.""Doing something like pace breathing over three months, apart from reducing levels of stress, can improve our cognitive function by 62%."Time Stamps[00:02:29] Using the body for confidence.[00:07:39] Embodied training in drama schools.[00:11:20] Flexibility in adapting communication.[00:14:06] The world of embodiment.[00:17:48] Serotonin and gut chemistry.[00:21:22] Performance practices for virtual meetings.[00:26:00] Managing stress and burnout.[00:28:22] Physical Intelligence InstituteThis series is kindly supported by Squadcast by Descript –the remote recording platform which empowers podcasters by capturing high-quality audio and video conversations. Find out more at squadcast.fm Connect with Access to Inspiration: Twitter | Facebook | Instagram | LinkedIn Sign up for our newsletter | Read our Impact Report
On this week's podcast: An independent writer, statistician, scientist, consultant and author of EVERYTHING YOU BELIEVE IS WRONG. A PhD in Mathematical Statistics: now an Uncertainty Philosopher, Epistemologist, Probability Puzzler, and Unmasker of Over-Certainty. An MS in Atmospheric Physics, and Bachelors in Meteorology & Maths. Meet William M Briggs, who spent time with me discussing things that matter; climate, coronavirus, artificial intelligence, machine learning, and much more. We make comment on 15 minute cities and the Net Zero nonsense. And we sift through your correspondence in The Mailroom. File your comments and complaints at Leighton@newstalkzb.co.nz Haven't listened to a podcast before? Check out our simple how-to guide. Listen here on iHeartRadio Leighton Smith's podcast also available on iTunes:To subscribe via iTunes click here See omnystudio.com/listener for privacy information.
About William M. Briggs: ==== I am a wholly independent vagabond writer, statistician, scientist and consultant. Previously a Professor at the Cornell Medical School, a Statistician at DoubleClick in its infancy, a Meteorologist with the National Weather Service, and a sort of Cryptologist with the US Air Force (the only title I ever cared for was Staff Sergeant Briggs). My PhD is in Mathematical Statistics, though I am now a Data Philosopher (I made that up), Epistemologist, Probability Puzzler, Unmasker of Over-Certainty, and (self-awarded) Bioethicist. My MS is in Atmospheric Physics, and Bachelors is in Meteorology & Math. ==== https://www.wmbriggs.com/ https://twitter.com/FamedCelebrity https://www.youtube.com/@WMB https://brokenscience.org/ —— Tom Nelson's Twitter: https://twitter.com/tan123 Substack: https://tomn.substack.com/ About Tom: https://tomnelson.blogspot.com/2022/03/about-me-tom-nelson.html Notes for climate skeptics: https://tomnelson.blogspot.com/2019/06/useful-notes-for-climate-skeptics.html ClimateGate emails: https://tomnelson.blogspot.com/p/climategate_05.html
What is an initial value problem? And why do many of us find mathematical modelling so challenging? In this episode, we again have the honor of talking to Prof. Marina Axelson-Fisk, Professor in Mathematical Statistics at Chalmers University of Technology. This is the third time Prof. Axelson-Fisk is a guest in Science on Surfaces – tips, tricks and tools, and this time she shares some of her vast knowledge on mathematical modelling and how this is used in science. As always, we started with the basics and Prof. Axelson-Fisk explained what mathematical modelling is, when it is typically used, and what is important to consider when doing this type of analysis. Prof. Axelson-Fisk also described a few examples of common models and their characteristics, how to improve a model and how to find the set of parameter values that best fit the data. We also talked about assumptions, limitations, and validation, as well as challenges encountered when modelling, and pitfalls to avoid. She also shared her thoughts are on why so many of us find modelling so challenging and how this limiting barrier can be addressed. This episode really is packed with information.Thanks for listening! If you are interested in surface and interface science and related topics, you should check out our blog - the Surface Science blog
How can we make sense of what we're told about risk? We're bombarded with messages on subjects ranging from COVID to the economy from people that range from genuine experts to those with no expertise but strong opinions. On this episode, I'm speaking to Professor David Spiegelhalter.David is Chair of the Winton Centre for Risk and Evidence Communication within the Department of Pure Mathematics and Mathematical Statistics at Cambridge University. The Centre is dedicated to improving the way that quantitative evidence is used in society. Listeners in the UK will almost certainly have seen or heard David. Since the start of the pandemic he's been a regular fixture on TV and radio, helping to make sense of the things we're being told about the virus. In a world of self-appointed experts whose only qualification is from the University of YouTube and untrustworthy politicians telling us they're "following the science", he's been a voice of clarity and common sense. In our discussion, we explore what drives David's interest in statistics, why we like to see connections between things that might not actually be there, why the mantra of “following the science” is nonsensical and whether there is such a thing as coincidence. David also provides plenty of practical tips for communicating and interpreting messages about risk. As you might expect for someone who specialises in risk communication, David is really good at getting his message across in ways we can all understand. My huge thanks to long-time friend of the show Roger Miles, who helped to make this conversation possible.To find out more about David, visit his academic website: https://wintoncentre.maths.cam.ac.uk/about/people/professor-sir-david-spiegelhalter/or his personal website: https://www.statslab.cam.ac.uk/~david/You'll find his books in all good bookstores. For more information, visit:The Art of Statistics — https://www.penguin.co.uk/books/294857/the-art-of-statistics-by-spiegelhalter-david/9780241258767COVID by Numbers — https://www.penguin.co.uk/authors/126755/david-spiegelhalterFor video content, I recommend:Communicating statistics in the time of COVID — https://www.youtube.com/watch?v=JW9plVfanjoFalse Positives — https://www.youtube.com/watch?v=XmiEzi54lBIBe Prepared To Show Your Working — https://www.youtube.com/watch?v=E12_F4xeOHwIn our discussion, we also refer to the episode featuring Tim Harford on using Data to Make Smarter Decisions. You can hear that here: https://www.humanriskpodcast.com/tim-harford-on-using-data/
Data analysis basics and how to make the most of the collected dataHow do you maximize the information extraction from that data that you may have spent weeks collecting? And what is the difference between ‘precision' and ‘accuracy'? In this episode, we talk to Prof. Marina Axelson-Fisk, Professor in Mathematical Statistics at Chalmers University of Technology about Data analysis, to learn more about how to make the most of the data that you have collected.In this informative conversation, Prof. Axelson-Fisk guides us through a range of different data analysis types such as exploratory-, descriptive-, and predictive analysis and explains when to use which method. We also talk about the data analysis process from start to end; how to handle the data before you analyze it, requirements on the data input, and how to assess the analysis output. We then move on to briefly discuss data modelling and key aspect related to this procedure. Prof Axelson-Fisk's explains key terminology such as repeatability, replicability and reproducibility. And, finally and once and for all, we get the difference between precision and accuracy explained. Last but not least, we talk about the main challenges with data analysis, what pitfalls to look out for, and we get a recommendation on data analysis software to use. By the way, the English translation of ‘supraledare' is of course ‘superconductor' Thanks for listening! If you are interested in surface and interface science and related topics, you should check out our blog - the Surface Science blog
In this episode, Mark and Georgia spoke to Professor Sir David Spiegelhalter, who is currently Chair of the Winton Centre for Risk and Evidence Communication, based within the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge. Prior to this, he was the Winton Professor for the Public Understanding of Risk in the Statistical Laboratory within the same department. He completed his undergraduate degree in statistics at the University of Oxford, later moving to University College London to complete his MSc and PhD in mathematical statistics under the supervision of Sir Adrian Smith. His research interests include use of Bayesian methods in medical statistics, and the monitoring and comparing of clinical and public-health outcomes and their associated publication as performance indicators. Currently, he is working on improving the way in which risk and statistical evidence is taught and discussed in society. He has hosted and appeared on various TV and radio shows such as BBC Horizon and Desert Island Discs, and has also published several books. You can find Professor Spiegelhalter on Twitter @d_spiegel, or his personal home page: https://www.statslab.cam.ac.uk/~david/ (where you can find the video of him on Winter Wipeout!). The BlueSci Podcast is run by the Cambridge University Science Magazine. This episode was hosted by Georgia Nixon and Mark Grimes. Visit www.bluesci.co.uk to access our free magazine, and find out how to get involved. If you enjoyed this episode, please subscribe and leave a review or rating! we welcome your feedback and suggestions via email: podcast(at)bluesci.co.uk. You can also follow us on Twitter on @bluescipod or Instagram @bluescicam.
What is machine learning? What distinguishes it from statistics? Daniela Witten, PhD is Professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statistics. Dr. Witten develops statistical machine learning methods for high-dimensional data, with a focus on unsupervised learning. Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.
Richard Hollowood and Jim Mann from Close Brothers join me today to speak more in-depth about where to put your money in both the short and long term. We chat about off shore and the pros and cons, Pensions, the difference between Investment Adviser, Wealth Manager and a Relationship Manager. Jim joined Close Brothers in September 2021 to manage a range of global portfolios for offshore institutional and private clients and is based in Guernsey. Jim trained as an equity analyst and worked for Merrill Lynch in London and Boston, USA. He has had extensive experience of running institutional global equity portfolios since 2004. Jim has also worked within a UHNW Family Office, and most recently at BNP Paribas Investment Management. Jim graduated from the University of Exeter with a BSc (Hons) in Mathematical Statistics and Operational Research. Richard Hollowood is a Managing Director based in Guernsey, having joined the organisation in 2006. Prior to joining Close Brothers Asset Management, Richard was a Private Client Investment Manager at Singer and Friedlander for three years and gained over six years of institutional investment experience managing US and Global equities with Mercury Asset Management and AXA Investment Managers.
In questo audio il prezioso incontro con Adriano Favole antropologo e Francesca Dominici biostatisticaL'intervista è nel podcast Contemporaneamente a cura di Mariantonietta Firmani, il podcast pensato per Artribune.In Contemporaneamente podcast trovate incontri tematici con autorevoli interpreti del contemporaneo tra arte e scienza, letteratura, storia, filosofia, architettura, cinema e molto altro. Per approfondire questioni auliche ma anche cogenti e futuribili. Dialoghi straniati per accedere a nuove letture e possibili consapevolezze dei meccanismi correnti: tra locale e globale, tra individuo e società, tra pensiero maschile e pensiero femminile, per costruire una visione ampia, profonda ed oggettiva della realtà. Con Adriano Favole e Francesca Dominici parliamo di relazioni tra cultura, potere e creatività, tra potenza dei dati e umiltà. Molti spunti ampli e concreti nell'incontro straordinariamente denso e leggero. Non si può costruire un pensiero sull'umano prendendo ad esempio una sola catena genealogica di società. La statistica è la possibilità di studiare l'aspetto matematico della vita, ma la gestione dei dati può essere un'arma molto pericolosa se nelle mani sbagliate. È necessario implementare attività culturali che incrementino la consapevolezza delle scelte, perché le tecnologie impattano sulle culture in modi diversi e imprevedibili. Tuttavia l'umanità è un insieme di possibilità e nulla è ineluttabile. Infatti, gli algoritmi non sanno distinguere le cause di un fenomeno, né proiettarsi nel futuro come sempre fanno gli esseri umani. Perciò è fondamentale far interagire il progetto tecnologico con l'aspetto filosofico ed emotivo. Prestigio sociale e ricchezza economica non sono intercambiabili nelle società originali, e molto altro.ASCOLTA L'INTERVISTA! BREVI NOTE BIOGRAFICHE DEGLI AUTORI Adriano Favole Antropologo, Docente di Antropologia culturale e Cultura e potere all'Università di Torino, dove è stato Vice Direttore per la Ricerca presso il Dipartimento di Culture, Politica e Società. Ha insegnato nelle Università di Milano, Genova e Bologna e in Nuova Caledonia. Ha viaggiato e compiuto ricerche a Futuna (Polinesia occidentale), in Nuova Caledonia, a Vanuatu, in Australia e a La Rèunion (Oceano indiano). Ha condotto numerose ricerche sui processi acculturativi attivati dal contatto con le società nazionali, approfondendo temi di formazione e percezione nel mondo nativo, concetti di cittadinanza e democrazia. Autore di studi di antropologia museale e sull'antropologia del corpo e della morte.I suoi ambiti di ricerca principali sono l'antropologia politica, l'antropologia del corpo e l'antropologia del patrimonio. Collabora con La lettura del Corriere della Sera. Tra i suoi numerosi saggi citiamo: Le fucine rituali: temi di antropo-poiesi (1996). La palma del potere: i capi e la costruzione della società a Futuna (Polinesia occidentale) (2000). Resti di umanità: vita sociale del corpo dopo la morte (2003). Isole nella corrente: il Pacifico francofono. Temi e prospettive di ricerca (2007); Oceania: isole di creatività culturale (2010). La bussola dell'antropologo (2015); Vie di fuga. Otto passi per uscire dalla propria cultura (2018); L'Europa d'Oltremare (2020). Il mondo che avrete. Virus, Antropocene, Rivoluzione (con F. Remotti e M. Aime, 2020). Francesca Dominici, PhD è co-direttore dell'Harvard Data Science Initiative, all'Università di Harvard, e del Clarence James Gamble Professor of Biostatistics, Population and Data Science presso l'Harvard T.H. Scuola di Sanità Pubblica Chan. È membro eletto della National Academy of Medicine e della International Society of Mathematical Statistics. Esperta di inferenza causale, apprendimento automatico, statistica bayesiana. Dirige un gruppo interdisciplinare di scienziati con l'obiettivo finale di affrontare importanti questioni di scienze della salute ambientale, cambiamenti climatici e scienze biomediche. Le sue ricerche hanno fornito alla comunità scientifica e ai responsabili politici solide prove sugli effetti negativi dell'inquinamento atmosferico, acustico e del cambiamento climatico. I suoi studi hanno avuto un impatto diretto e sistematico sulla politica della qualità dell'aria.Con più di 220 pubblicazioni scientifiche è nell'elenco Thomson Reuter 2019 dei ricercatori più citati, classificandosi nell'1% dei migliori scienziati citati nel suo campo. Il suo lavoro è stato seguito da New York Times, Los Angeles Times, BBC, Guardian, CNN e NPR. Nell'aprile 2020 ha ricevuto il Karl E. Peace Award for Outstanding Statistical Contributions for the Betterment of Society dall'American Statistical Association. Sostenitrice dell'avanzamento di carriera delle facoltà femminili. Il suo lavoro nel Comitato sulla condizione delle donne, della Johns Hopkins University, le è valso il premio per il riconoscimento della diversità campus 2009. Al T.H. Chan School of Public Health, ha guidato il Committee for the Advancement of Women Faculty.
Like the show? https://www.patreon.com/newleftradio (Support us on Patreon)! Global governance, often the domain of economists, bankers, and those with tin foil hats is essential if humanity has any hope of facing the existential problems of today. We need strong, democratic institutions, and a global voice for and of the people. Long resigned to science fiction and the aspirations of tyrants, can we build a global government that drives humanity forward? One that creates a more fair and just world? We're joined by global governance expert Augusto Lopez-Claris and economist & philosopher Vivek Dehejia to explore. About Augusto Lopez-Claros Augusto Lopez-Claros is Executive Director and Chair of the https://globalgovernanceforum.org/ (Global Governance Forum). He is an international economist with over 30 years of experience in international organizations, including most recently at the World Bank. For the 2018/2019 academic years Augusto Lopez-Claros was on leave from the World Bank as a Senior Fellow at the Edmund Walsh School of Foreign Service at Georgetown University. Between 2011 and 2017 he was the Director of the World Bank's Global Indicators Group, the department responsible for the Bank's Doing Business report and other international benchmarking studies. Previously he was Chief Economist and Director of the Global Competitiveness Program at the World Economic Forum in Geneva, where he was also the Editor of the Global Competitiveness Report, the Forum's flagship publication, as well as a number of regional economic reports. Before joining the Forum he worked for several years in the financial sector in London, with a special focus on emerging markets. He was the International Monetary Fund's Resident Representative in the Russian Federation during the 1990s. Before joining the IMF, Lopez-Claros was a Professor of Economics at the University of Chile in Santiago. He was educated in England and the United States, receiving a diploma in Mathematical Statistics from Cambridge University and a Ph.D. in Economics from Duke University. He is a much-sought-after international speaker, having lectured in the last several years at some of the world's leading universities, think tanks and international organizations. In 2007 he was a coeditor of The International Monetary System, the IMF, and the G-20: A Great Transformation in the Making? and The Humanitarian Response Index: Measuring Commitment to Best Practice, both published by Palgrave. He was the editor of The Innovation for Development Report 2009–2010: Strengthening Innovation for the Prosperity of Nations, published by Palgrave in November 2009 and a subsequent edition published in 2010. More recent publications include: “Fiscal Challenges After the Global Financial Crisis: A Survey of Key Issues” (2014), “Removing Impediments to Sustainable Economic Development: The Case of Corruption” (2015), “The Moral Dimension of the Fight Against Corruption” (2017), Equality for Women = Prosperity for All (St. Martin´s Press, 2018), and Financing Instruments for Climate Change Mitigation and Adaptation (2021). In May of 2018 Sweden's Global Challenges Foundation awarded Lopez-Claros the New Shape Prize for his work (with Arthur Dahl and Maja Groff) “Global Governance and the Emergence of Global Institutions for the 21st Century.” A book of the same title was published by Cambridge University Press in 2020. About Vivek Dehejia Dr. https://www.idfcinstitute.org/about/team/vivek-dehejia/ (Vivek Dehejia) was Resident Senior Fellow in Political Economy at IDFC Institute. Dr. Dehejia is also Associate Professor of Economics and Philosophy at Carleton University in Ottawa, Canada and Columnist, Mint. He holds a PhD in Economics (1995) from Columbia University in New York, where his thesis supervisors included the Nobel laureate Robert Mundell and the noted international trade economist Jagdish Bhagwati. Dr. Dehejia is also
Is it possible to be more time-efficient when planning, executing and evaluating experiments? And what do the latin squares have to do with it?In this episode, we talk to Prof. Marina Axelson-Fisk, Professor in Mathematical Statistics at Chalmers University of Technology about Design of Experiments, DoE, to learn more about how to efficiently plan your work and to make the most of the time spent in the lab.As always, we start with the basics, and Prof. Axelson-Fisk takes us through what DoE is, when it could be used and who will benefit from using this methodology. We then move on to talk about how DoE works in practice. Prof. Axelson-Fisk describes a few examples to demonstrate how this method to plan, execute and evaluate experiments could be used in real life. We talk about what challenges and difficulties that may arise, and what pitfalls to look out for. Finally, we get to learn about some key concepts in DoE, and Prof. Axelson-Fisk explains terminology such as analysis of variance - transformations, model validation and residual analysis; factorial design with fixed, random and mixed effects, latin squares and confounding, just to mention a few.Thanks for listening! If you are interested in surface and interface science and related topics, you should check out our blog - the Surface Science blog
Dr. Julian Sahasrabudhe is a University Lecturer (Assistant Professor in the American/Canadian system) in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge, Cambridge, United Kingdom. Dr. Sahasrabudhe is the recipient of the 2021 European Prize in Combinatorics. In a conversation with students from Simon Fraser University, Amritha Raj Kizhakkeputhukulathil Ramanan, Brian Krammer, and Anmol Anmol Singh, Dr. Sahasrabudhe talks about how it was to be a late bloomer in mathematics, some of the places that he visited and the people that he met on his academic journey, and about his current research interests.
Dr. Graciela Chichilnisky is the co-founder and CEO of Global Thermostat, and co-creator of a carbon removal technology that can reverse climate change. Under Dr. Chichilnisky's leadership, the company was awarded a Silver designation on Pepperdine Graziadio Business School's 2020 Most Fundable Companies List, and its technology was chosen by MIT Technology Review as one of the Ten Breakthrough Technologies of 2019, a list curated by Bill Gates. In addition to her role at Global Thermostat, Dr. Chichilnisky is a Professor of Economics and Mathematical Statistics at Columbia University, and Director of the Columbia Consortium for Risk Management. Dr. Chichilnisky acted as the lead U.S. author on the Intergovernmental Panel on Climate Change, which received the 2007 Nobel Prize for its work in deciding world policy with respect to climate change, and she worked extensively on the Kyoto Protocol, creating and designing the carbon market that became international law in 2005. Dr. Chichilnisky is the author of more than 300 scientific articles and more than 15 books, including the recently published Reversing Climate Change and the award-winning Saving Kyoto, which won the American Library Association's 2010 Outstanding Academic Title of the Year and the American Geographical Society's Book of the Month Award in October 2009. She holds two Ph.D. degrees, in Mathematics and Economics, and her graduate studies were at MIT and the University of California, Berkeley. https://globalthermostat.com/ https://nexuspmg.com/
In the financial services industry, risks related to climate change are now considered major, resulting in all firms assessing how to incorporate climate risk in financial decision making. As we find ourselves in the decisive decade, there is an urgency for financial services to not only better manage the financial and non-financial risks of climate change but also lead the way in sustainable finance. The scale and complexity of the problem demand new thinking and new technologies that will integrate well with existing risk management ecosystems. In this episode, we'll explore how AI and advanced analytics can help assess and address climate risk, while keeping the business lights on. This episode concludes a four-part series examining Responsible AI. Listen to the previous episodes here: Part One: Alternative Data in Risk Modeling Part Two: Explainable/Interpretable AI Part Three: Addressing Bias and Fairness in AI Systems Learn More: From Crisis to Opportunity: Redefining Risk Management | SAS Speakers Mark Nasila, Chief Data and Analytics Officer, FirstRand Risk Dr. Mark Nasila is the Chief Data and Analytics Officer of FirstRand Risk, a Singularity University Faculty. He is also a steering committee member of the National Institute for Theoretical Physics and Computational Sciences (NITheCS). As an experienced AI and data science expert, he ensures the techniques and methodologies he introduces into FNB are at the forefront of where banking is headed, both locally and internationally. He is the developer and the brain behind Manila, an AI system FNB has harnessed to reimagine its risk management and forensic due diligence processes. He holds a PhD in Mathematical Statistics from the Nelson Mandela University, and is also an alumni of the SingularityU South Africa Executive programme. He was named one of the Corinium Global Intelligence “2020 Global Top 100 Innovators in data and analytics.” Terisa Roberts, Global Solution Lead, Risk Modeling and Decisioning, SAS Terisa Roberts is a well-rounded risk management professional with 15 years of risk management experience working predominantly in the financial services sector. She is currently a Director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in risk modeling topics for retail and commercial portfolios including regulatory capital stress testing and IFRS9/CECL. She advises banks other financial services providers as well as regulators on innovations in Risk Modeling and Decisioning including Artificial Intelligence and Machine Learning. She holds a Ph.D. in Operations Research and Informatics and lives in Sydney, Australia with her family. ----------------------- Over the years, GARP and SAS have worked together to bring risk practitioners unique insights on a variety of topics related to financial risk and have partnered on this episode of our podcast series. About SAS As a leader in analytics, SAS has more than 40 years of experience helping organizations solve their toughest problems. Our unrelenting commitment to innovation enables banks to modernize and sustain a competitive edge. SAS provides an integrated, enterprise-wide risk-management platform for managing risk in an organization, from strategic to reputational, operational, financial or compliance-related risk management. Learn more about how SAS is driving innovation and business value for risk and finance professionals at www.sas.com/risk.
Folks, this is the 50th episode of LBS — 50th! I never would have thought that there were so many Bayesian nerds in the world when I first interviewed Osvaldo Martin more than 2 years ago. To celebrate that random, crazy adventure, I wanted to do a special episode at any random point, and so it looks like it's gonna be #50! This episode is special by its guest, not its number — although my guest knows a thing or two about numbers. Most recently, he wrote the book Covid by Numbers. A mathematical statistician dedicated to helping the general public understand risk, uncertainty and decision-making, he's the author of several books on the topic actually, including The Art of Statistics. You may also know him from his podcast, Risky Talk, or his numerous appearances in newspapers, radio and TV shows. Did you guess who it is? Maybe you just know him as the reigning World Champion in Loop – a version of pool played on an elliptical table – and are just discovering now that he is a fantastic science communicator – something that turns out to be especially important for stats education in times of, let's say, global pandemic for instance. He holds a PhD in Mathematical Statistics from the University of London and has been the Chair of the Winton Centre for Risk and Evidence Communication at Cambridge University since 2016. He was also the President of the famous Royal Statistical Society in 2017-2018. Most importantly, he was featured in BBC1's Winter Wipeout in 2011 – seriously, go check it out on his website; it's hilarious. So did you guess it yet? Yep, my guest for this episode is no other than Sir David Spiegelhalter — yes, there are Bayesian knights! Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ (https://bababrinkman.com/) ! Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Ero Carrera, Brian Huey, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, Adam Bartonicek, William Benton, Alan O'Donnell, Mark Ormsby, Demetri Pananos, James Ahloy, Jon Berezowski, Robin Taylor, Thomas Wiecki, Chad Scherrer, Nathaniel Neitzke, Zwelithini Tunyiswa, Elea McDonnell Feit, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Joshua Duncan, Ian Moran, Paul Oreto, Colin Caprani, George Ho, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Raul Maldonado, Marcin Elantkowski, Tim Radtke, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Matthew McAnear, Michael Hankin, Cameron Smith, Luis Iberico, Alejandro Morales and Tomáš Frýda. Visit https://www.patreon.com/learnbayesstats (https://www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;) Links from the show: David's website: http://www.statslab.cam.ac.uk/~david/ (http://www.statslab.cam.ac.uk/~david/) David on Twitter: https://twitter.com/d_spiegel (https://twitter.com/d_spiegel) The Art of Statistics: https://dspiegel29.github.io/ArtofStatistics/ (https://dspiegel29.github.io/ArtofStatistics/) Risky Talk podcast: https://riskytalk.libsyn.com/ (https://riskytalk.libsyn.com/) Winton Centre for Risk and Evidence Communication: https://wintoncentre.maths.cam.ac.uk/ (https://wintoncentre.maths.cam.ac.uk/) Frank Ramsey -- A Sheer Excess of Powers: https://www.amazon.fr/Frank-Ramsey-Sheer-Excess-Powers/dp/019875535X (https://www.amazon.fr/Frank-Ramsey-Sheer-Excess-Powers/dp/019875535X) BBC Radio 4, David Spiegelhalter on Frank Ramsey: https://www.bbc.co.uk/programmes/m000q8pq (https://www.bbc.co.uk/programmes/m000q8pq) De Finetti's theorem: https://en.wikipedia.org/wiki/De_Finetti%27s_theorem (https://en.wikipedia.org/wiki/De_Finetti%27s_theorem) Laplace's... Support this podcast
Dr Richard Saldanha is an expert in statistical machine learning and quantitative finance. He co-heads Oxquant, a management consulting business involved in AI/ML advisory work in finance and other knowledge-based industries. Richard has worked in quantitative finance for over 23 years and has held senior roles in both asset management and investment banking at major institutions in the City of London in the areas of risk management, trading and investments. Richard holds a doctorate (DPhil) in Statistics from the University of Oxford. He is a Fellow and Chartered Statistician (CStat) of the Royal Statistical Society, a Member of the Institute of Mathematical Statistics.
Dr. Graciela Chichilnisky is the co-founder and CEO of Global Thermostat, and co-creator of a carbon removal technology that can reverse climate change. Under Dr. Chichilnisky’s leadership, the company was awarded a Silver designation on Pepperdine Graziadio Business School’s 2020 Most Fundable Companies List, and its technology was chosen by MIT Technology Review as one of the Ten Breakthrough Technologies of 2019, a list curated by Bill Gates. In addition to her role at Global Thermostat, Dr. Chichilnisky is a Professor of Economics and Mathematical Statistics at Columbia University, and Director of the Columbia Consortium for Risk Management. Dr. Chichilnisky acted as the lead U.S. author on the Intergovernmental Panel on Climate Change, which received the 2007 Nobel Prize for its work in deciding world policy with respect to climate change, and she worked extensively on the Kyoto Protocol, creating and designing the carbon market that became international law in 2005. Dr. Chichilnisky is the author of more than 300 scientific articles and more than 15 books, including the recently published Reversing Climate Change and the award-winning Saving Kyoto, which won the American Library Association’s 2010 Outstanding Academic Title of the Year and the American Geographical Society’s Book of the Month Award in October 2009. She holds two Ph.D. degrees, in Mathematics and Economics, and her graduate studies were at MIT and the University of California, Berkeley. https://globalthermostat.com/ https://nexuspmg.com/
This week's episode looks at the future of artificial intelligence and how we can build better humans using AI as well as create smarter companies that enhance and augment our capabilities in the workplace. From self-aware and self-replicating software systems and robots that are emerging to autonomous vehicles or predicting Robo advisors, the future is said to be better from the convergence or augmentation of this technology with others.Featuring:Dr Vivienne Ming: Professional Mad Scientist. Co-Founder & Executive Chair, Socos Labs. Theoretical neuroscientist, entrepreneur, author, and mother of two. Co-founded with wife Dr Norma Ming, Socos Labs is a mad science incubator dedicated to solving some of the world's most pressing problems. In her free time, Vivienne works to design AI systems to help treat her son's diabetes, predict manic episodes in bipolar sufferers, and reunite orphan refugees with extended family members.Dr Mark Nasila: FNB Chief Data and Analytics Officer, Mark has a PhD in Mathematical Statistics, an expert in the data science and analytics field. This has placed him in the privileged position of being part of a small community of thought leaders in the data science industry. At FNB, Mark has developed an AI system for the bank to enhance the forensic review process.
Alicia Carriquiry is a professor of statistics at Iowa State University. Between January of 2000 and July of 2004, she was Associate Provost at Iowa State. Her research interests are in Bayesian statistics and general methods. Her recent work focuses on nutrition and dietary assessment, as well as on problems in genomics, forensic sciences, and traffic safety. She currently teaches (and greatly enjoys!) a graduate-level course on Bayesian data analysis at Iowa State University and has four doctoral students working under her supervision at this time. Four of her Ph.D. students have already graduated work at Ohio State University, the National Cancer Institute, Carnegie Mellon University, and Iowa State University. Dr. Carriquiry is an elected Member of the International Statistical Institute and a Fellow of the American Statistical Association. She serves on the Executive Committee of the Institute of Mathematical Statistics and has been a member of the Board of Trustees of the National Institute of Statistical Sciences since 1997. She is also a past president of the International Society for Bayesian Analysis (ISBA) and a past member of the Board of the Plant Sciences Institute at Iowa State University. Dr. Carriquiry is Editor of Statistical Sciences and of Bayesian Analysis and serves on the editorial boards of several Latin American journals of statistics and mathematics. She has served on three National Academy of Sciences committees: the Subcommittee on Interpretation and Uses of Dietary Reference Intakes; the Committee on Evaluation of USDA's Methodology for Estimating Eligibility and Participation for the WIC Program and the Committee on Third Party Toxicity Research with Human Research Participants. Currently, she is a member of the Standing Committee on Applied and Theoretical Statistics of the National Research Council, the Committee on Assessing the Feasibility, Accuracy and Technical Capability of a Ballistics National Database of the National Research Council, and of the Committee on Gender Differences in the Careers in Science, Mathematics and Engineering Faculty of the National Academy of Sciences. She is a member of the Federal Steering Committee Future Directions for the CSFII/NHANES Diet/Nutrition Survey: What We Eat in America. Carriquiry received an MSc in animal science from the University of Illinois, and an MSc in statistics, and a Ph.D. in statistics and animal genetics from Iowa State University. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/changeyourpov/message Support this podcast: https://anchor.fm/changeyourpov/support
Paul J. van Staden is a senior lecturer in the Department of Statistics at the University of Pretoria, South Africa. He earned his PhD in Mathematical Statistics from the University of Pretoria in 2014. His research focuses on statistical distribution theory, in particular the construction of generalized families of probability distributions in the quantile statistical universe. With respect to sports analytics, his research interests include team and player performance measures in cricket, modeling of score distributions in rugby and cricket, and rating and ranking systems. He has furthermore collaborated in various research projects ranging from tongue protrusion and bite mark analysis in forensic pathology to oral and dental diseases in cheetahs.Don't forget to sign up to the datathon and get access to high quality betfair pricing data(https://www.betfair.com.au/hub/australian-open-datathon/) For those with an interest in horses also check out (https://www.betfair.com.au/hub/horse-racing-tips/)
Episode: 1980 Manuscript Demography: the birth and death of books. Today, manuscript demography.
Show Notes(2:13) Jason went over his experience studying Computer Science at Loyola College in Baltimore for undergraduate, where he got an early exposure to academic research in image registration.(4:31) Jason described his graduate school experience at John Hopkins University, where he completed his Ph.D. on “Techniques for Vision-Based Human-Computer Interaction” that proposed the Visual Interaction Cues paradigm.(9:31) During his time as a Post-Doc Fellow at UCLA, Jason helped develop automatic segmentation and recognition techniques for brain tumors to improve the accuracy of diagnosis and treatment accuracy(14:27) From 2007 to 2014, Jason was a professor in the Computer Science and Engineering department at SUNY-Buffalo. He covered the content of two graduate-level courses on Bayesian Vision and Intro to Pattern Recognition that he taught.(18:20) On the topic of metric learning, Jason proposed an approach to data analysis and modeling for computer vision called "Active Clustering."(21:35) On the topic of image understanding, Jason created Generalized Image Understanding - a project that examined a unified methodology that integrates low-, mid-, and high-level elements for visual inference (equivalent to image captioning today).(24:51) On the topic of video understanding, Jason worked on ISTARE: Intelligent Spatio-Temporal Activity Reasoning Engine, whose objective is to represent, learn, recognize, and reason over activities in persistent surveillance videos.(27:46) Jason dissected Action Bank - a high-level representation of activity in video, which comprises of many individual action detectors sampled broadly in semantic space and viewpoint space.(35:30) Jason unpacked LIBSVX - a library of super voxel and video segmentation methods coupled with a principled evaluation benchmark based on quantitative 3D criteria for good super voxels.(40:06) Jason gave an overview of AI research activities at the University of Michigan, where he was a professor of Electrical Engineering and Computer Science from 2014 to 2020.(41:09) Jason covered the problems and projects in his graduate-level courses on Foundations of Computer Vision and Advanced Topics in Computer Vision at Michigan.(44:56) Jason went over his recent research on video captioning and video description.(47:03) Jason described his exciting software called BubbleNets, which chooses the best video frame for a human to annotate.(51:44) Jason shared anecdotes of Voxel51's inception and key takeaways that he has learned.(01:05:25) Jason talked about Voxel51's Physical Distancing Index that tracks the coronavirus global pandemic's impact on social behavior.(01:07:47) Jason discussed his exciting new chapter as the new director of the Stevens Institute for Artificial Intelligence.(01:11:28) Jason identified the differences and similarities between being a professor and being a founder.(01:14:55) Jason gave his advice to individuals who want to make a dent in AI research.(01:16:14) Jason mentioned the trends in computer vision research that he is most excited about at the moment.(01:17:23) Closing segment.His Contact InfoWikipediaGoogle ScholarWebsiteTwitterLinkedInHis Recommended ResourcesBubblenets: Video Object Segmentation for Computer VisionVoxel51's FiftyOne Open-Sourced LibraryJeff Siskind (Professor at Purdue University)CJ Taylor (Professor at the University of Pennsylvania)Kristen Grauman (Professor at the University of Austin)"An Introduction to Mathematical Statistics"
Show Notes(2:13) Jason went over his experience studying Computer Science at Loyola College in Baltimore for undergraduate, where he got an early exposure to academic research in image registration.(4:31) Jason described his graduate school experience at John Hopkins University, where he completed his Ph.D. on “Techniques for Vision-Based Human-Computer Interaction” that proposed the Visual Interaction Cues paradigm.(9:31) During his time as a Post-Doc Fellow at UCLA, Jason helped develop automatic segmentation and recognition techniques for brain tumors to improve the accuracy of diagnosis and treatment accuracy(14:27) From 2007 to 2014, Jason was a professor in the Computer Science and Engineering department at SUNY-Buffalo. He covered the content of two graduate-level courses on Bayesian Vision and Intro to Pattern Recognition that he taught.(18:20) On the topic of metric learning, Jason proposed an approach to data analysis and modeling for computer vision called "Active Clustering."(21:35) On the topic of image understanding, Jason created Generalized Image Understanding - a project that examined a unified methodology that integrates low-, mid-, and high-level elements for visual inference (equivalent to image captioning today).(24:51) On the topic of video understanding, Jason worked on ISTARE: Intelligent Spatio-Temporal Activity Reasoning Engine, whose objective is to represent, learn, recognize, and reason over activities in persistent surveillance videos.(27:46) Jason dissected Action Bank - a high-level representation of activity in video, which comprises of many individual action detectors sampled broadly in semantic space and viewpoint space.(35:30) Jason unpacked LIBSVX - a library of super voxel and video segmentation methods coupled with a principled evaluation benchmark based on quantitative 3D criteria for good super voxels.(40:06) Jason gave an overview of AI research activities at the University of Michigan, where he was a professor of Electrical Engineering and Computer Science from 2014 to 2020.(41:09) Jason covered the problems and projects in his graduate-level courses on Foundations of Computer Vision and Advanced Topics in Computer Vision at Michigan.(44:56) Jason went over his recent research on video captioning and video description.(47:03) Jason described his exciting software called BubbleNets, which chooses the best video frame for a human to annotate.(51:44) Jason shared anecdotes of Voxel51's inception and key takeaways that he has learned.(01:05:25) Jason talked about Voxel51's Physical Distancing Index that tracks the coronavirus global pandemic's impact on social behavior.(01:07:47) Jason discussed his exciting new chapter as the new director of the Stevens Institute for Artificial Intelligence.(01:11:28) Jason identified the differences and similarities between being a professor and being a founder.(01:14:55) Jason gave his advice to individuals who want to make a dent in AI research.(01:16:14) Jason mentioned the trends in computer vision research that he is most excited about at the moment.(01:17:23) Closing segment.His Contact InfoWikipediaGoogle ScholarWebsiteTwitterLinkedInHis Recommended ResourcesBubblenets: Video Object Segmentation for Computer VisionVoxel51's FiftyOne Open-Sourced LibraryJeff Siskind (Professor at Purdue University)CJ Taylor (Professor at the University of Pennsylvania)Kristen Grauman (Professor at the University of Austin)"An Introduction to Mathematical Statistics"
In my 10th episode I speak to Michiel van Staden. We talk about: 1) Building Analytics Teams 2) Diversity of thought when working with the business 3) Building relationships and networks 4) Working with the business and solving problems 5) Challenges of implementing a federated Centre of Excellence 6) Linking Data Governance to immediate business challenges 7) What traits Data Leaders need to build to be effective About Michiel: Michiel is the Data Analytics Lead for Absa Group. He believes in Freedom with Respect - Pushing Boundaries, Asking Questions & Listening - Community in Diversity Having completed an Honors in Mathematical Statistics with distinction, he holds a strong ability to make sense of numbers and find patterns in information. Over my 13 years in data analytics, he has witnessed the tremendous benefits of good data governance, whilst also working through resolving the direct consequences of various ways in which it can be lacking. Within data analytics roles ranging from fraud prevention, credit risk & operations to digital & marketing, he has practical experience in accessing data from a range of sources internally and working directly with data received from external parties, engaging data security, privacy and regulations, using a range of data mining tools from more traditional to open source, informing business of current realities via various reporting channels, automating complicated processes alongside data engineering, driving the implementation of value adding data science initiatives and guiding business strategy by collaborative data storytelling. As a lifelong learner, he is constantly studying online, reading and getting involved in the developing data community, following the ever evolving data landscape, whilst planning to start a Masters in Big Data Science. Michiel's leadership development journey has been purposefully driven by a keen ear for listening, refined through ongoing coaching studies and a joy in increasingly sharing my learnings via mentoring, public speaking & writings. About Samir: Samir is a data strategy and analytics leader, CEO and Founder of datazuum. He has a history of helping data executives and leaders craft and execute their data strategies. His passion for data strategy led him to launch the Data Accelerator Workshop, and host the Data Strategy Show. After a career in both private and public sectors Samir launched the datazuum brand in 2012, with a view to working with executives to deliver data strategy at a time when data was not seen as a business asset. Today datazuum delivers projects across both private and public sectors including: Charities, Financial Services (Banking & Insurance), Government, Housing & Construction, Law Enforcement, Logistics, Media & Publishing, Outsourcing, Postal, Retail, Telecoms, Transport and Utilities. Samir has 20 years of international experience across Europe, North America, and Africa. Is a regular speaker at international conferences, coach / mentor, a charity fundraiser, and youth champion for Working Knowledge - supporting young people to achieve their personal and career goals in life. Samir lives in London with his wife and daughter. Contact details for Samir LinkedIn: Samir Sharma Email: samir@datazuum.com website: datazuum
Today on Mushroom Hour we are joined by the distinguished Lynne Boddy, Professor of Microbial Ecology at Cardiff University. After undergraduate studies in Biology and Mathematical Statistics at the University of Exeter, she was interested in any and every type of ecology. A fortuitous position at the University of London led her to studying wood decay processes, which would turn out to be the subject of her PhD. That work snowballed into a 40-year exploration of wood decay processes with fungi at its core. As well as scientifically challenging and environmentally of massive consequences, mycelia and their interactions have a huge aesthetic appeal for Professor Boddy. There are so many burning questions when it comes to fungal biology, fungi’s relationships to food sources, fungi’s relationship to other fungi and other microorganisms that she, along with around 40 PhD students, post-docs and other co-workers, have striven and are striving to answer. Lynne’s passion for fungi laces out into studies of mycorrhizal fungi, the rising amateur mycologist community, and nearly every other aspect of how fungi will change human lives. There is an obvious joy in her communication of this information to both student audiences and to the public at large. We’re about to enter an exciting world of fungal battles, life and death struggles, epic hunts for food and the complexities of non-human intelligence. Topics Covered:Professor Boddy’s PhD ResearchWood Decay ProcessesFungi's Role in Wood DecayEndophytesFungal Competitive StrategiesResource Unit Restricted Fungi Cord-Developing FungiHow Does Mycelium Choose Where to Grow?How Does Mycelium Pass Information?Mycelium Network ArchitectureDoes Mycelium Have Memory?Heartwood Rot FungiImpact of Climate Change on FungiImportance of Amateur ContributionsEpisode Resources:Lynne Boddy Website: https://www.cardiff.ac.uk/people/view/81120-boddy-lynnePhanerochaete velutina (fungi): https://en.wikipedia.org/wiki/PhanerochaeteHypholoma fasciculare (fungi): http://www.mushroomexpert.com/hypholoma_fasciculare.htmlPhallus impudicus (fungi): https://en.wikipedia.org/wiki/Phallus_impudicusMegacollybia platyphylla (fungi): https://www.first-nature.com/fungi/megacollybia-platyphylla.phpDirected, Recorded, Produced by: Mushroom Hour (@welcome_to_mushroom_hour) Music by: Ancient Baby (https://peckthetowncrier.bandcamp.com/) Art by: Wyn Di Stefano (http://www.wyndistefano.com/)
Professor William M. Briggs is a statistician and scientist. Previously a Professor at the Cornell Medical School he specialized in Mathematical Statistics amongst other academic pursuits such as cryptology, atmospheric physics and meteorology. His latest book ‘The Price of Panic' explores the cost of the global response to COVID-19. ---------------------------------------- Watch this episode on Youtube: https://youtu.be/pDT6Cq175es Check out his blog: http://wmbriggs.com Read the book: https://www.alibris.com/The-Price-of-Panic-How-the-Tyranny-of-Experts-Turned-a-Pandemic-Into-a-Catastrophe-Jay-W-Richards/book/47726042 ---------------------------------------- 1:14 Worldwide reaction to Covid-19 4:27 Where has the flu gone? 6:08 Are lockdowns beneficial? 8:47 Cases vs Infections 11:55 Zero tolerance policy on infections or deaths 13:00 Trust the ‘all cause death rate' instead 13:23 The statistics debunking Covid-19's lethality 15:07 Identifying Covid-19 as the cause of death 17:32 Measuring cases instead of deaths keeps the panic going 19:54 How do we break out of the panic? 21:25 Trump vs Johnson in their response to contracting Covid-19 22:22 Should we be scared of Covid-19? 24:10 Why are we seeing such ‘amazing' results in Australia and NZ? 27:10 Praising Dan Andrews and Jacinda Arden's lockdown policy 28:35 Lockdowns didn't work everywhere 29:17 People ignore real statistics 30:27 Leaders let citizens down by not being realistic 31:17 Which leader is doing it right? 33:21 Living in the Technocracy 35:13 Scientism and morality 39:05 Appeals to authority 39:46 Masks debunked 41:50 Have people forgotten we have immune systems? 43:30 Complicity with bad leadership 43:58 Civil disobedience in the US 45:56 Have scientists been swept up in the hype? 50:14 Where do we go for trustworthy information? 53:00 Why are people buying the hype and staying in a panic state? 54:45 Future predictions 55:33 Economic effects of the pandemic 58:00 Should we make policy decisions based on modelling? 1:00:58 Models are only as good as their assumptions
The Association for Computing Machinery (ACM) together with the Institute of Mathematical Statistics (IMS) will hold the first-ever ACM-IMS Foundations of Data Science (FODS) Conference virtually on October 19-20. This interdisciplinary event will bring together researchers and practitioners to address foundational data science challenges in prediction, inference, fairness, ethics, and the future of data science. “Data science is a new, emerging field, building its foundations from computer science, statistics, and many other quantitative disciplines,” said FODS General Co-chair Jeannette Wing, Columbia University, and Fellow, Association for Computing Machinery. “Big data is not new: through large, one-of-a-kind, expensive instruments, scientists have been collecting and generating massive amounts of data for decades. What has changed is that the internet has become an instrument for anyone, not just scientists, to collect and generate data and that that data is about people. We also have powerful AI, machine learning, and statistical techniques that allow us to interpret and gain value from the data in new ways. And because so much data is about people, we must address upfront questions of ethics and privacy. We are witnessing a new era where every sector, including healthcare and finance, is being transformed by data science. We believe that our interdisciplinary approach to organizing this conference will make it an important research gathering for many years to come.” “FODS is a first-of-its-kind conference in that it is a collaboration between the two leading scientific societies in computing and statistics,” added FODS General Co-chair, David Madigan, Northeastern University, and Fellow, Institute for Mathematical Statistics. “We believe this cross-collaboration between computer scientists and statisticians is the most effective way to foster groundbreaking new research in this field. Building on the success of the initial summit ACM and IMS co-organized in 2019, we have put together an exciting program featuring the world’s top researchers and practitioners. We also hope that the virtual nature of this year’s conference will encourage participants from around the world to engage with us.” ACM-IMS FODS 2020 HIGHLIGHTS: Keynote Speakers 1. “AutoML and Interpretability: Powering the Machine Learning Revolution in Healthcare” Speaker: Michaela van der Schaar, The Alan Turing Institute AutoML and interpretability are both fundamental to the successful uptake of machine learning by non-expert end-users. This keynote presents state-of-the-art AutoML and interpretability methods for healthcare developed in van der Schaar’s lab and how they have been applied in various clinical settings (including cancer, cardiovascular disease, cystic fibrosis, and recently Covid-19). It then explains how these approaches form part of a broader vision for the future of machine learning in healthcare. 2.“Semantic Scholar, NLP, and the Fight Against COVID-19” Oren Etzioni, Allen Institute for AI (AI2) Etzioni’s talk will describe the dramatic creation of the COVID-19 Open Research Dataset (CORD-19) at the Allen Institute for AI and the broad range of efforts, both inside and outside of the Semantic Scholar project. This is to garner insights into COVID-19 and its treatment based on this data. The talk will highlight the difficult problems facing the emerging field of Scientific Language Processing. FODS 2020 Papers (Partial List) For a list of all accepted papers, visit here. 3. “Incentives Needed for Low-Cost Fair Data Reuse” Roland Maio, Augustin Chaintreau, Columbia University One of the central goals in algorithmic fairness is to build systems with fairness properties that compose gracefully. Although the importance of this goal was recognized early, limited progress has been made. In this work, Maio and Chaintreau propose a fresh approach to building fairly composable data-science pip...
Ugochukwu Chukwujiaka sat down with Fred Swaniker, the founder of African Leadership Group to explore questions about education entrepreneur, the building and running of Africa Leadership University, and the key ingredient of a successful global education company. Fred is deeply passionate about Africa and believes that the missing ingredient on the continent is good leadership. In line with this, he has co-founded three organizations that aim to catalyze a new generation of ethical, entrepreneurial African leaders: African Leadership Academy, African Leadership Network, and African Leadership University. Collectively, these institutions aim to groom 3 million leaders for Africa over a 50-year period. A passionate entrepreneur, Fred also served as Founder and CEO of Terra Education, a global education company that today provides leadership training to about 4,000 people annually at 46 sites in 20 countries in Latin America, Asia, Africa, and Europe. Swaniker has been recognized as a Young Global Leader by the World Economic Forum and was listed by Forbes Magazine among the top ten young ‘power men’ in Africa. Fred has an MBA from Stanford University’s Graduate School of Business, where he was named an Arjay Miller Scholar, a distinction awarded to the top 10% of each graduating class. He holds a BA in Economics with a minor in Mathematical Statistics from Macalester College (magna cum laude). He was born in Ghana but has lived and worked in about 10 different African countries.
Cynthia Rudin is a professor of computer science, electrical and computer engineering, and statistical science at Duke University. Previously, Prof. Rudin held positions at MIT, Columbia, and NYU. Her degrees are from the University at Buffalo and Princeton University. She is a three-time winner of the INFORMS Innovative Applications in Analytics Award. She has served on committees for INFORMS, the National Academies, the American Statistical Association, DARPA, the NIJ, and AAAI. She is a fellow of both the American Statistical Association and Institute of Mathematical Statistics. She is a Thomas Langford Lecturer at Duke University for 2019-2020.
It's Friday 13th! What does that mean? Is it an unlucky day? According to science—no, it means absolutely nothing. But there is one exception: the date has meaning if we think it does. As meaning-machines, we impart significance everywhere we look. We don't want to live in a world where randomness reigns. So what traps have we set? Ben has a fascinating chat with University of Toronto Professor Jeffrey Rosenthal, statistician and author of "Knock on Wood: Luck, Chance, and the Meaning of Everything". About the Guest Jeffrey Rosenthal is a professor of Statistics at the University of Toronto, and author of Knock on Wood: Luck, Chance, and the Meaning of Everything. Born in Scarborough, Ontario, Canada in 1967, he received his BSc in Mathematics, Physics, and Computer Science from the University of Toronto at the age of 20, his PhD in Mathematics from Harvard University at the age of 24, and tenure in the Department of Statistics at the University of Toronto at the age of 29. For his research, Rosenthal was awarded the 2006 CRM-SSC Prize, and the 2007 COPSS Presidents' Award, the most prestigious honour bestowed by the Committee of Presidents of Statistical Societies. For his teaching, he received a Harvard University Teaching Award in 1991, and a University of Toronto Outstanding Teaching Award in 1998. He was elected to Fellowship of the Institute of Mathematical Statistics in 2005, and to the Royal Society of Canada in 2012, and was awarded the SSC Gold Medal in 2013, and a President's Impact Award in 2019. Rosenthal's book for the general public, Struck by Lightning: The Curious World of Probabilities, was published in sixteen editions and ten languages, and was a bestseller in Canada. It led to numerous media and public appearances, to his work exposing the Ontario lottery retailer scandal, and to a President's Impact Award. Rosenthal has also published two textbooks about probability theory, and well over one hundred refereed research papers, many related to the field of Markov chain Monte Carlo randomized computer algorithms and to interdisciplinary applications of statistics. He has dabbled as a computer game programmer, musical performer, and improvisational comedy performer, and is fluent in French. Despite being born on Friday the thirteenth, Rosenthal has been a very fortunate person. Learn more about Jeffrey at his website or follow him on Twitter (@ProbabilityProf). Mentioned in this Episode The Secret, a book by Rhonda Byrne Poisson clumping, a phenomenon where random events tend to occur in clusters, clumps, or bursts. The hard problem of consciousness The Quote of the Week "Luck has a way of evaporating when you lean on it." - From Keys to the Demon Prison by Brandon Mull
Julien Cornebise is a Director of Research, AI for Good at Element AI and head of the London Office. He is also an honorary researcher at University College London. Prior to Element AI, Julien was at DeepMind (later acquired by Google) as an early employee, where he led several fundamental research projects used in early demos and fundraising. After leaving DeepMind in 2016, he worked with Amnesty International. Julien holds an MSc in Computer Engineering, an MSc in Mathematical Statistics, and a PhD in Mathematics, specialized in Computational Statistics, from University Paris VI Pierre and Marie Curie and Telecom ParisTech. He received the 2010 Savage Award in Theory and Methods from the International Society for Bayesian Analysis for his PhD work. In today's episode Julien shares some considerations on what makes AI good or bad; reflections on the ethics and drive for purpose of the humans that build technology; his experience working alongside anthropologists and sociologists as part of Element AI's team of AI for Good; the value of diversity in teams and how to prevent replicating bias with AI; advice to anthropologists considering to transition to industry ; some key points of the keynote he will give at the Anthropology + Technology Conference 2019 happening on Oct 3rd in Bristol, UK under the theme of Championing socially responsible AI. Mentioned in Podcast: DeepMind Technologies ElementAI AI for Good Kentaro Toyama Geek Heresy: Rescuing Social Change from the Cult of Technology, Kentaro Toyama UN Sustainable Development Goals 2019 AI Talent report - issued by element AI Tech Workers Now Want to Know: What Are We Building This For?, Kate Conger, Cade Metz, NY Times, Oct 7 2018 Thomas Piketty Capital in the Twenty-First Century, Thomas Piketty Davos 2019: Historian Rutger Bregman berates billionaires at World Economic Forum over tax avoidance Utopia for Realists: How We Can Build the Ideal World, Rutger Bregman Anthropology + Technology Conference 2019 Julien's work: Google Scholar profile: https://scholar.google.co.uk/citations?user=6fkVVz4AAAAJ&hl=en&oi=ao Social media and other links: Email: julien AT elementai.com LinkedIn profile: https://www.linkedin.com/in/juliencornebise Twitter profile: https://twitter.com/JCornebise
David Banks is a statistician at Duke University. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics, and a former editor of the Journal of the American Statistical Association and Statistics and Public Policy . His major areas of research include risk analysis, syndromic surveillance, agent-based models, dynamic text networks, and computational advertising.
David Banks is a statistician at Duke University. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics, and a former editor of the Journal of the American Statistical Association and Statistics and Public Policy . His major areas of research include risk analysis, syndromic surveillance, agent-based models, dynamic text networks, and computational advertising.
In this episode you will learn: • Why Monica Bruenn created created a horse rescue • Monica’s own lyme journey from patient to practitioner • The best way to tell if a scientific study is junk or not Monica Bruenn helps people and animals improve their quality of life with an integrated approach to wellness that uses her background in Clinical Research, Mathematical Statistics, Herbalist, a Functional Diagnostic Nutritionist, a Hashimoto's Practitioner, a HeartMath Practitioner and a Holistic Lifestyle Coach. She says on her website ‘was able to get my life back (from Lyme disease) when I began to trust myself and my body's ability to heal itself using a holistic approach’ and now brings that approach to her practice.
Summary: Alicia Carriquiry is professor of statistics at Iowa State University. Between January of 2000 and July of 2004 she was Associate Provost at Iowa State. Her research interests are in Bayesian statistics and general methods. Her recent work focuses on nutrition and dietary assessment, as well as on problems in genomics, forensic sciences and traffic safety. She currently teaches (and greatly enjoys!) a graduate-level course on Bayesian data analysis at Iowa State University and has four doctoral students working under her supervision at this time. Four of her PhD students have already graduated work at The Ohio State University, the National Cancer Institute, Carnegie Mellon University and Iowa State University. Dr. Carriquiry is an elected Member of the International Statistical Institute and a Fellow of the American Statistical Association. She serves on the Executive Committee of the Institute of Mathematical Statistics and has been a member of the Board of Trustees of the National Institute of Statistical Sciences since 1997. She is also a past president of the International Society for Bayesian Analysis (ISBA) and a past member of the Board of the Plant Sciences Institute at Iowa State University. Dr. Carriquiry is Editor of Statistical Sciences and of Bayesian Analysis, and serves on the editorial boards of several Latin American journals of statistics and mathematics. She has served on three National Academy of Sciences committees: the Subcommittee on Interpretation and Uses of Dietary Reference Intakes; the Committee on Evaluation of USDA's Methodology for Estimating Eligibility and Participation for the WIC Program and the Committee on Third Party Toxicity Research with Human Research Participants. Currently, she is a member of the standing Committee on Applied and Theoretical Statistics of the National Research Council, the Committee on Assessing the Feasibility, Accuracy and Technical Capability of a Ballistics National Database of the National Research Council and of the Committee on Gender Differences in the Careers in Science, Mathematics and Engineering Faculty of the National Academy of Sciences. She is a member of the Federal Steering Committee Future Directions for the CSFII/NHANES Diet/Nutrition Survey: What we Eat in America. Carriquiry received a MSc in animal science from the University of Illinois, and an MSc in statistics and a PhD in statistics and animal genetics from Iowa State University. In This Particular Episode You Will Learn: Dr. Carriquiry's background and experience The research project and stated goals One of the main problems regarding veteran mental health: veterans do not perceive a need for mental health services, and if they do, they don't access them Family support as a facilitating factor in accessing mental health services Culturally competent care in the VA as compared to community mental health providers The VA as a whole provides beneficial mental health services, but this isn't the case across the entire VA The need for community providers to collaborate with VA providers to provide the best care possible The benefits of telehealth in providing mental health care to those areas and populations that have limited access Links and Resources Mentioned in This Episode: Dr. Carriquirry's biography and website, including her email contact Synopsis of the Report from the National Academies Key findings and recommendations of the report You can be sure to find future episodes of Head Space and Timing, and all of the CYPOV Podcast Network Shows, by subscribing through your Podcast player of choice, like iTunes. Using an app makes subscribing and listening to podcasts (both ours and others) so much simpler. Just subscribe to Change Your POV Podcast within your app and it will automatically update every time a new episode is released. Please Leave a Review on iTunes – Learn How Here. Would you like to be a guest on Head Space and Timing? Follow This Link.
Summary: Alicia Carriquiry is professor of statistics at Iowa State University. Between January of 2000 and July of 2004 she was Associate Provost at Iowa State. Her research interests are in Bayesian statistics and general methods. Her recent work focuses on nutrition and dietary assessment, as well as on problems in genomics, forensic sciences and traffic safety. She currently teaches (and greatly enjoys!) a graduate-level course on Bayesian data analysis at Iowa State University and has four doctoral students working under her supervision at this time. Four of her PhD students have already graduated work at The Ohio State University, the National Cancer Institute, Carnegie Mellon University and Iowa State University. Dr. Carriquiry is an elected Member of the International Statistical Institute and a Fellow of the American Statistical Association. She serves on the Executive Committee of the Institute of Mathematical Statistics and has been a member of the Board of Trustees of the National Institute of Statistical Sciences since 1997. She is also a past president of the International Society for Bayesian Analysis (ISBA) and a past member of the Board of the Plant Sciences Institute at Iowa State University. Dr. Carriquiry is Editor of Statistical Sciences and of Bayesian Analysis, and serves on the editorial boards of several Latin American journals of statistics and mathematics. She has served on three National Academy of Sciences committees: the Subcommittee on Interpretation and Uses of Dietary Reference Intakes; the Committee on Evaluation of USDA's Methodology for Estimating Eligibility and Participation for the WIC Program and the Committee on Third Party Toxicity Research with Human Research Participants. Currently, she is a member of the standing Committee on Applied and Theoretical Statistics of the National Research Council, the Committee on Assessing the Feasibility, Accuracy and Technical Capability of a Ballistics National Database of the National Research Council and of the Committee on Gender Differences in the Careers in Science, Mathematics and Engineering Faculty of the National Academy of Sciences. She is a member of the Federal Steering Committee Future Directions for the CSFII/NHANES Diet/Nutrition Survey: What we Eat in America. Carriquiry received a MSc in animal science from the University of Illinois, and an MSc in statistics and a PhD in statistics and animal genetics from Iowa State University. In This Particular Episode You Will Learn: Dr. Carriquiry's background and experience The research project and stated goals One of the main problems regarding veteran mental health: veterans do not perceive a need for mental health services, and if they do, they don't access them Family support as a facilitating factor in accessing mental health services Culturally competent care in the VA as compared to community mental health providers The VA as a whole provides beneficial mental health services, but this isn't the case across the entire VA The need for community providers to collaborate with VA providers to provide the best care possible The benefits of telehealth in providing mental health care to those areas and populations that have limited access Links and Resources Mentioned in This Episode: Dr. Carriquirry's biography and website, including her email contact Synopsis of the Report from the National Academies Key findings and recommendations of the report You can be sure to find future episodes of Head Space and Timing, and all of the CYPOV Podcast Network Shows, by subscribing through your Podcast player of choice, like iTunes. Using an app makes subscribing and listening to podcasts (both ours and others) so much simpler. Just subscribe to Change Your POV Podcast within your app and it will automatically update every time a new episode is released. Please Leave a Review on iTunes – Learn How Here. Would you like to be a guest on Head Space and Timing? Follow This Link.
The first hour we'll be joined by Michael Maharrey, the national communications director for the Tenth Amendment Center, & author of three books (most recent Our Last Hope – Rediscovering the Lost Path to Liberty). We'll talk about recent SCOTUS opinions & the modern nullification movement. In the second hour we'll be joined by William M. Briggs Ph.D, Adjunct Professor of Statistics at Cornell who's Ph.D is in Mathematical Statistics, MS in Atmospheric Physics, & BS in Meteorology. We'll be discussing "Climate Change", and why some "scientist" refuse to acknowledge that models about global warming are wrong.The Tenth Amendment Center http://tenthamendmentcenter.comMichael's website MichaelMaharrey.com Michael's Twitter @mmaharrey10th Our Last Hope: Rediscovering the Lost Path to Liberty http://www.michaelmaharrey.com/our-last-hope/http://wmbriggs.com/
The first hour we'll be joined by Michael Maharrey, the national communications director for the Tenth Amendment Center, & author of three books (most recent Our Last Hope – Rediscovering the Lost Path to Liberty). We'll talk about recent SCOTUS opinions & the modern nullification movement. In the second hour we'll be joined by William M. Briggs Ph.D, Adjunct Professor of Statistics at Cornell who's Ph.D is in Mathematical Statistics, MS in Atmospheric Physics, & BS in Meteorology. We'll be discussing "Climate Change", and why some "scientist" refuse to acknowledge that models about global warming are wrong.The Tenth Amendment Center http://tenthamendmentcenter.comMichael's website MichaelMaharrey.com Michael's Twitter @mmaharrey10th Our Last Hope: Rediscovering the Lost Path to Liberty http://www.michaelmaharrey.com/our-last-hope/http://wmbriggs.com/
The first hour we'll be joined by Michael Maharrey, the national communications director for the Tenth Amendment Center, & author of three books (most recent Our Last Hope – Rediscovering the Lost Path to Liberty). We'll talk about recent SCOTUS opinions & the modern nullification movement. In the second hour we'll be joined by William M. Briggs Ph.D, Adjunct Professor of Statistics at Cornell who's Ph.D is in Mathematical Statistics, MS in Atmospheric Physics, & BS in Meteorology. We'll be discussing "Climate Change", and why some "scientist" refuse to acknowledge that models about global warming are wrong.The Tenth Amendment Center http://tenthamendmentcenter.comMichael's website MichaelMaharrey.com Michael's Twitter @mmaharrey10th Our Last Hope: Rediscovering the Lost Path to Liberty http://www.michaelmaharrey.com/our-last-hope/http://wmbriggs.com/
The first hour we'll be joined by Michael Maharrey, the national communications director for the Tenth Amendment Center, & author of three books (most recent Our Last Hope – Rediscovering the Lost Path to Liberty). We'll talk about recent SCOTUS opinions & the modern nullification movement. In the second hour we'll be joined by William M. Briggs Ph.D, Adjunct Professor of Statistics at Cornell who's Ph.D is in Mathematical Statistics, MS in Atmospheric Physics, & BS in Meteorology. We'll be discussing "Climate Change", and why some "scientist" refuse to acknowledge that models about global warming are wrong. The Tenth Amendment Center http://tenthamendmentcenter.com Michael's website MichaelMaharrey.com Michael's Twitter @mmaharrey10th Our Last Hope: Rediscovering the Lost Path to Liberty http://www.michaelmaharrey.com/our-last-hope/ http://wmbriggs.com/
Mathematician Vicky Neale, senior teaching associate in the Department of Pure Mathematics and Mathematical Statistics in the University of Cambridge and director of studies at Murray Edwards College, is excited. She’s been watching some recent breakthroughs that mathematicians around the world have been making in a huge and open collaboration on an ancient mathematical problem. Neale tells Adam Smith how she is now building the news into her work that aims to improve the ways maths is taught. This podcast is produced and presented by Adam Smith Adam Smith: I’m listening to a story about a lightbulb moment. That second when a school pupil’s eyebrows soar and her head lifts up: she’s got it. In this case, she’s found a solution to an algebra problem. Vicky Neale ...She suddenly realised that this algebra, which she’d sort of been introduced to at school, that she sort of half understood, that she could see why these manipulations worked. We drew a little picture, we talked about it, but she also suddenly understood how that had helped her to answer a problem. She’d been trying some numerical patterns, which is really important, that’s a lot of what mathematicians do, but we were chatting about how the next stage is to try and come up with a convincing argument. I might use the word ‘proof’, that’s sort of technical jargon, and she said, “But I’m not going to be able to do that ‘cause I can’t check all of these examples.” And I said, “That’s right, you’re going to have to come up with some other kind of justification.” And via this algebra, by a little calculation, she was able to do that and see that it was always going to be true and for her, I could see, “Oh, this is something a bit different from what I’m used to, I’m quite excited by that, I can see how this algebra gives me the capacity to do something much more than I ever thought I was going to be able to do...” AS: I’m Adam Smith. Welcome to Pod Academy. Vicky spends most of her time on a project with researchers and teachers trying to improve the ways mathematics is taught. Running beneath all of this work, like an underground river, is the enterprise of mathematics itself—the questions and the problems are flowing and bouncing off rocks and pushing forwards constantly through university mathematics departments across the world. I met Vicky at the college and started by saying that it seems to me that maths is a bit like Marmite—people either love it or hate it... VN: That’s right and I find that very sad for two reasons. One is that I think very often the people who are saying that who don’t understand why I’m so excited about maths, that’s because they don’t know what it is that I’m excited about. They have this perception that’s very different from my perception. The other is that I think sometimes people have this perception that maths is an ability either you have or you don’t have. It just sort of depends how you were born. And I start from the perspective that everybody is capable of thinking as a mathematician, is everyone going to go and get a Fields Medal in mathematics—the equivalent of a Nobel Prize? No of course not, because not everybody is going to want to spend their time, immerse themselves in it, but I strongly believe that everybody has the capacity to make progress, to understand all sorts of things. And we see in schools, extraordinary examples where successful teachers, successful departments are able to have this impact, of course it's trying to help everybody to have a positive experience so that whatever they go on to do they don't feel that maths is not relevant to them, they don’t feel that they’re unable to engage with it. AS: One of the other funny perceptions that a lot of people have about mathematics, probably myself included, is that it’s static, that there is a set of rules, your teachers try and teach you and that there are just these rules and you’ve just got to learn it,
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