Podcasts about Network science

What if everything we thought about how organizations function was wrong? For decades, businesses have been structured around hierarchies and rigid processes, assuming this was the best way to manage talent, collaboration, and leadership. But what if the real key to high performance and better talent acquisition lies not in org charts but in networks? The emerging disciple of Network Science has quietly been reshaping everything from social media to healthcare, so what happens when we apply it to how we work, lead, and hire? Organizations are complex systems, yet most companies are still managed using outdated, linear models. What if network science, a discipline that has revolutionized everything from the internet to disease control, could also transform the way we think about leadership, collaboration, and hiring So, how do networks really shape the way organizations function, and could a deeper understanding of them change how we hire, engage, and retain talent? My guest this week is Jeffrey Beeson, a leadership strategist and expert in organizational networks. Jeffrey's work focuses on how businesses can optimize collaboration, unlock hidden influencers, and rethink traditional hierarchies using the principles of network science. We discuss how understanding an organization's internal networks can improve hiring decisions, enhance onboarding, and increase retention by fostering stronger workplace connections.  In the interview, we discuss: What is network science, and how does it apply to business? How all complex systems are based on network patterns and laws Three degrees of influence How emotions travel through networks The best-connected individuals have the most influence. Identifying influencers Retention, onboarding, and talent management The application of network science to talent acquisition Applying network solutions to network problems The future of work Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

What if everything we thought about how organizations function was wrong? For decades, businesses have been structured around hierarchies and rigid processes, assuming this was the best way to manage talent, collaboration, and leadership. But what if the real key to high performance and better talent acquisition lies not in org charts but in networks? The emerging disciple of Network Science has quietly been reshaping everything from social media to healthcare, so what happens when we apply it to how we work, lead, and hire? Organizations are complex systems, yet most companies are still managed using outdated, linear models. What if network science, a discipline that has revolutionized everything from the internet to disease control, could also transform the way we think about leadership, collaboration, and hiring So, how do networks really shape the way organizations function, and could a deeper understanding of them change how we hire, engage, and retain talent? My guest this week is Jeffrey Beeson, a leadership strategist and expert in organizational networks. Jeffrey's work focuses on how businesses can optimize collaboration, unlock hidden influencers, and rethink traditional hierarchies using the principles of network science. We discuss how understanding an organization's internal networks can improve hiring decisions, enhance onboarding, and increase retention by fostering stronger workplace connections.  In the interview, we discuss: What is network science, and how does it apply to business? How all complex systems are based on network patterns and laws Three degrees of influence How emotions travel through networks The best-connected individuals have the most influence. Identifying influencers Retention, onboarding, and talent management The application of network science to talent acquisition Applying network solutions to network problems The future of work Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

What if everything we thought about how organizations function was wrong? For decades, businesses have been structured around hierarchies and rigid processes, assuming this was the best way to manage talent, collaboration, and leadership. But what if the real key to high performance and better talent acquisition lies not in org charts but in networks? The emerging disciple of Network Science has quietly been reshaping everything from social media to healthcare, so what happens when we apply it to how we work, lead, and hire? Organizations are complex systems, yet most companies are still managed using outdated, linear models. What if network science, a discipline that has revolutionized everything from the internet to disease control, could also transform the way we think about leadership, collaboration, and hiring So, how do networks really shape the way organizations function, and could a deeper understanding of them change how we hire, engage, and retain talent? My guest this week is Jeffrey Beeson, a leadership strategist and expert in organizational networks. Jeffrey's work focuses on how businesses can optimize collaboration, unlock hidden influencers, and rethink traditional hierarchies using the principles of network science. We discuss how understanding an organization's internal networks can improve hiring decisions, enhance onboarding, and increase retention by fostering stronger workplace connections.  In the interview, we discuss: What is network science, and how does it apply to business? How all complex systems are based on network patterns and laws Three degrees of influence How emotions travel through networks The best-connected individuals have the most influence. Identifying influencers Retention, onboarding, and talent management The application of network science to talent acquisition Applying network solutions to network problems The future of work Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Jim talks with epidemiology expert Samuel Scarpino about the recent spread of H5N1 (bird flu) in dairy cows and its implications for public health. They discuss the historical context of H5N1, fatality rates, modeling the spread, network effects in disease transmission, current surveillance efforts, H5N1 transmission mechanisms, challenges of human respiratory transmission, lessons learned & mislearned from Covid-19, the current state of the H5N1 vaccine preparation, extreme pandemic response scenarios, Sam's current risk assessment, economic impacts including egg & dairy prices, recommendations for immediate action, and much more. Episode Transcript JRS Currents 099 - Sam Scarpino on Preparing for the Next Pandemic JRS Currents 047 - Samuel Scarpino on the Epidemiology of Covid-19 Center for Advanced Preparedness and Threat Response Simulation (CAPTRS) Global.health Metaculus Samuel Scarpino is the Director of AI + Life Sciences at the Institute for Experiential AI at Northeastern University and a Professor of the Practice in Health and Computer Sciences. He holds appointments in the Institute for Experiential AI and the Network Science, Global Resilience, and Roux Institutes. Prior to joining Northeastern in November 2022, Scarpino was the Vice President of Pathogen Surveillance at The Rockefeller Foundation and Chief Strategy Officer at Dharma Platform (a social impact, technology startup). Outside of these roles, he has over 10 years of experience translating research into decision support and data science/AI tools across diverse sectors from public health and clinical medicine to real estate and energy.

Nicholas Christakis is a Renaissance Man, with whom I have wanted to have a conversation for some time. There was so much to talk about with him, and each item was so fascinating, that we barely scratched the surface, even in the lengthy discussion we had. This is a great Thanksgiving Day listen.. instead of football games! One can get a sense of the breadth of his activities by considering his positions at Yale University. He is Sterling Professor (the highest endowed chair at Yale) of Social and Natural History, as well as Director of the Yale Institute for Network Science, and Professor in the Departments of Statistics, Biomedical Engineering, Medicine, Ecology and Evolutionary Biology, and in the School of Management! Nicholas' personal history is almost as fascinating as his academic accomplishments. Born in New Haven to parents who were graduate students at Yale (his father was a student of the notorious Gregory Breit, about whom I heard many stories when years later I became a Professor in that same department, and his mother was a graduate student of Nobel Laureate Lars Onsager), he moved back to Greece when his father had to return for military service, so Nicholas's first language was Greek. His parents moved back to the US several years later, and Nicholas grew up in the US, returning to Yale University to study biology. All throughout his childhood he grew up under the shadow of his mother's fatal illness, and he and his brothers all became doctor's in response. But while in medical school, the bug for scientific research caused him to pursue both a Masters degree in Public Health and eventually a PhD in Sociology. Moving to the University of Chicago, Nicholas focused on caring for dying patients, and exploring how their partnerships affected their health as well as that of their partners. This began an eventual transition to studying not pairs of individuals, but networks of human beings. His laboratory has done groundbreaking experimental work studying how networks of humans operate and how one might improve their functioning. To understand human networks he has also studied networks of animals including our nearest cousins, Primates. The results of his investigations informed his most recent remarkable book, Blueprint, focused on the notion that evolution has endowed us to create and function in ‘good' societies. We spent time discussing all aspects of this work, from the impacts of evolutionary biology on both human and primate societies, artificial communities, and the strange mating rituals of both other animals, and humans, all of which are more diverse than one might otherwise imagine. The exceptions however, prove the rule that a ‘social suite' of characteristics, including cooperation, love and partnership, leadership and other factors, can produce a successful society. Along the way we discussed topics that appear intuitively surprising, such as culture within animal groups, and how behavior can ultimate affect genetics, something that sounds Lamarckian , but is instead a wonderful example of natural selection. We discussed the philosophical question of the nature of ‘good', and whether one can indeed get ‘ought' from ‘is', as David Hume famously questioned, and ended with a discussion of how AI will affect human societies. It was truly a fascinating privilege to have this discussion, and whetted my appetite for further conversations with this lovely and remarkable man. As always, an ad-free video version of this podcast is also available to paid Critical Mass subscribers. Your subscriptions support the non-profit Origins Project Foundation, which produces the podcast. The audio version is available free on the Critical Mass site and on all podcast sites, and the video version will also be available on the Origins Project YouTube. Get full access to Critical Mass at lawrencekrauss.substack.com/subscribe

When you hear the word ‘network,' you might think of social, internet, or communication networks. But what about the biochemical and genetic networks within each of our cells? These are the networks Albert-László Barabási explores. In this episode, he shares insight into these networks that will make you look at life, disease, health, and our bodies in a very different way. Press play to learn: How the networks within our cells govern life Why cellular networks are essential to understanding how disease emerges in the human body How an understanding of biochemical and genetic networks can lead to better disease treatments Why current medicine rarely fixes the source of the problem Barabási is the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research. Learn more about Barabási and his research at Albert-László Barabási - Khoury College of Computer Sciences (northeastern.edu). Episode also available on Apple Podcasts: http://apple.co/30PvU9

Albert-László Barabási is a renowned Physicist and Scientist, Professor at Northeastern University in Boston, TED Speaker, Author and is known for his scientific discovery of Network Science, Scale-free networks and the Barabasi-Albert model. His book The Formula: The Universal Laws of Success is my favourite book of all time. Why do some people succeed and others don't? Whats the difference between performance and success? Why does a small percentage of artists receive disproportionate amounts of reward? How does one piece of art make exhibition walls and other the recycle bin? Why does the last interviewee for a job have greater chances of getting the job? Does creativity expire with age? There is a science to all of this. It's called Network Science. Today, my guest is the most notable figure in its history - Laszlo Barabasi. Follow me on Instagram: www.instagram.com/davidmcintoshjr Subscribe to the Patreon: www.patreon.com/developmentbydavid Buy me a coffee: buymeacoffee.com/developmentbydavid This episode is sponsored by Hot-Tottie.com

In this Leadership Spark podcast episode, host Sylvain Newton interviews Leandro Herrero, CEO of the Chalfont Project and author of "Viral Change". Together they discuss innovative approaches to change management. Herrero critiques traditional top-down methods, advocating for a behavior-focused, organic strategy. He emphasizes the importance of identifying and engaging highly connected individuals within organizations to drive scalable change. The conversation explores social network analysis and the dynamics of managing change champions.“Leandro Herrero and the Chalfont Project. His book “Viral Change”Fridtjof Capra (physicist and advocate of system thinking)Euler (mathematician known for his work on graph theory)Dr Iain McGilchrist and his book The Master and His Emissarysylvainnewton.com/podcast

Albert-László Barabási thinks in networks and his scholarship, as his life, is embodiment of the explorative, imaginative, and generative nature of networks. It would be difficult to imagine a person better suited to steward us through the innate and seemingly universal tendency of things to connect to each other and all of its implications. Origins Podcast WebsiteFlourishing Commons NewsletterShow Notes:Preferential attachment (10:00)What he tells his students (13:30)Breakthroughs (14:00)'Shelf Time' (14:30)The Science of Science (19:00)Bridging (network science) (19:00)His first and second papers in network science (22:00)Danielle Allen (28:30)David Lazer (https://lazerlab.net/home) 'network based decision making' (31:00)Hélène Landemore epistemic democracy (32:00)Northeastern University Network Science Institute (35:30)Center for Complex Network Research (36:00)Alessandro Vespignani (37:00)János Kertész (38:00)Jane Hirshfield "Let Them Not Say" (42:00)Joan Didion "I write entirely to find out what I'm thinking, what I'm looking at, what I see and what it means." (44:30)His writing practice (44:30)His routines (45:00)Commonplace book (53:00)Robert K Merton "Singletons and Multiples in Scientific Discovery" (56:30)What does it mean to flourish? (59:00)Lightning Round (01:03:30):Book: Isaac Asimov The Foundation TrilogyPassion: art (Hidden Patterns exhibition; 150 years of Nature)Heart sing: Network medicineScrewed up: Failing to invest in GoogleFind László online:https://barabasi.com/'Five-Cut Fridays' five-song music playlist series  László's playlistLogo artwork by Cristina GonzalezMusic by swelo on all streaming platforms or @swelomusic on social media

In science, failure is as important as success. In this week's episode, our storytellers share times when they failed at science or science failed them. Part 1: Samuel Scarpino is convinced that the paper he wrote about how hard it is to predict infectious diseases should win a Nobel Prize. Part 2: It's grad student Moronke Harris' turn with the deep-sea robot that no one can find, and she needs to conduct her research.. Samuel V. Scarpino, PhD, is the Director of AI + Life Sciences at Northeastern University and a Professor of the Practice in Health and Computer Sciences. He holds appointments in the Institute for Experiential AI and the Network Science, Global Resilience, and Roux Institutes. In recognition for his contributions to complex systems science, he was named an external Professor at the Santa Fe Institute in 2020. Prior to joining Northeastern, Scarpino was the Vice President of Pathogen Surveillance at The Rockefeller Foundation, Chief Strategy Officer at Dharma Platform (a social impact, technology startup), and co-founded a data science initiative called Global.health, which was backed by Google and The Rockefeller Foundation. Scarpino is a regular presence in the news, providing over 500 interviews to outlets such as Good Morning America, The Wall Street Journal, Vice News, The Atlantic, and NPR. He has authored more than 100 academic publications, which have been cited over 8,000 times. Scarpino's work has appeared in journals such as Nature, Science, Nature Medicine, PNAS, Clinical Infectious Diseases, and Nature Physics. The New York Times, Wired, the Boston Globe, National Geographic, and numerous other venues have covered his research. Moronke Harris (moronkeharris.com) is a deep-sea explorer and oceanographer with experience in climate engineering, blue economy, and intergovernmental (Canada, USA, Russia, Japan, and the Republic of Korea), multi-vessel research expedition planning in the high seas. Currently completing a PhD in Oceanography at the University of Victoria (BC, Canada), her research focuses on the most unexplored areas of the ocean, containing the most potential for discovery. Moronke specializes in the alien world of seafloor superheated geysers: hydrothermal vent ecosystems 1000-4000 m under the ocean's surface. She has spent over 110 days of her life exploring Earth's final frontier. Beyond academic pursuits, she is the founder of ‘The Imaginative Scientist' (linktr.ee/imaginativesci): a science communication and creative consulting brand blending traditional outreach and artistry to produce an audience-first approach that engages, invites, and inspires curiosity. Brand experience includes 50+ national and international speaking engagements, video production and content creation collaborations garnering 50,000+ views, and consultation for gallery installations, video game development, and film production. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Women and men leave academic positions at different rates and for different reasons. In this episode, Aaron Clauset and Katie Spoon join us to discuss their research on the magnitude of and differential causes of gender differences in faculty attrition. Aaron is a Professor of Computer Science at the University of Colorado, Boulder. He is a nationally recognized expert on network science, data science, and complex systems and he is the recipient of the 2016 Erdos-Renyi Prize in Network Science. Katie is a computational social scientist and a 4th-year PhD candidate, also at the University of Colorado, Boulder.  Aaron and Katie are two of the authors of a paper on “Gender and retention patterns among U.S. faculty,” which has received a great deal of attention and has been discussed in the Chronicle of Higher Education, Times Higher Education, Science Careers, and Nature News. A transcript of this episode and show notes may be found at http://teaforteaching.com.

When you hear the word ‘network,' you might think of social, internet, or communication networks. But what about the biochemical and genetic networks within each of our cells?  These are the networks Albert-László Barabási explores. In this episode, he shares insight into these networks that will make you look at life, disease, health, and our bodies in a very different way. Press play to learn: How the networks within our cells govern life Why cellular networks are essential to understanding how disease emerges in the human body How an understanding of biochemical and genetic networks can lead to better disease treatments Why current medicine rarely fixes the source of the problem Barabási is the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research. Learn more about Barabási and his research at Albert-László Barabási - Khoury College of Computer Sciences (northeastern.edu). Episode also available on Apple Podcasts: http://apple.co/30PvU9

This is an experiment - a repurposed LinkedIn audio room I recroded this morning.  I stopped the recording before I invited anyone up on stage. Here's the newsletter I wrote about the offer: The thing about corporate budgets is that you have to use them, or you lose them. A current state audit of your hybrid/remote strategy is an ideal way to resolve this issue and set your company up well for 2024. What's your vision for distributed work?  I don't mean right now but 5 or 10 years from now. Do you want to be an employer of choice with a wildly successful company and people who are happy, healthy, and fully engaged in their work? The decisions we make now about when, where, and how we work will inform the future of work. It's worth investing in. Maybe you are confused by the constant headlines about huge employers implementing harsh return to office mandates.  Is that the future? What data do you trust? Maybe you've implemented a strategy but it's not working.  Are people refusing to go to the office?  Is there turnover? Are your people disengaged? Has trust in your leadership eroded? Disengagement is an $8.8 trillion workplace problem according to Gallup. You aren't alone. What if I told you that it's less about data and more about imagination? What if I told you that you can set a course for the future of work you want to see and use the data along the way to adjust and adapt the strategy? Trends, scenario planning, strategic foresight all inform future-focused strategy. You need to know where you are to see where you need to go. That's where the current state audit can help. Book your spot now. What's in the box? Strategic Kick Off Call Imagination training workshop for executive leaders 1:1 executive interview, small focus groups Assessment of employer brand and communications Overall Report Final Presentation of current state and recommendations for future action Next Steps Workshop 4-6 weeks $10,000   Fully remote, asynchronous except for the kick off call, interviews, final presentation, and workshop. Company to assist with scheduling, provide all previous qualitative and quantitative assessments, engagement surveys. Limited spots. Once limit reached, I will start a waitlist. Payment in 2023, work completed in 2024. Who am I? If you don't happen to know me, I'm Nola Simon.  I'm a hybrid/remote futurist located in Ontario, Canada.  I'm an international B2B consultant who has advised hybrid/remote work teams for the last 10 years.  I have the ear of senior transformation consultants and futurists around the world.  I also host a chart topping podcast called the Hybrid/Remote Centre of Excellence with more than 70 episodes on leadership, management and career development – let's co-create the future of work.  It starts with hybrid/remote. Want to know more?  Check out my website and my LinkedIn profile. FAQs Why Nola Simon Advisory instead of a big-name consulting firm? I've been involved in strategically influencing hybrid/remote for 10 years. It's the rare big firm consultant who ever worked outside of an office pre-pandemic.  When you hire me, you get me and my experience.  Big firms often have senior staff handle the sales presentations, but the junior staff do the work. What do you know that we don't? I designed hybrid/remote strategy from the inside as an operations subject matter expert, an individual contributor.  This means that my expertise is unconventional and very different from most consultants who either worked as traditional leaders or have an HR background.  I've been called the voice of the employee, but I combine this with deep research into futurism, leadership, organizational design, and HR. My podcast is in the top 25 leadership podcasts all time. A short-term engagement is a great way for us to get to know one another - behaviour change takes 12-18 months. Why an external consultant at all? It's hard to change a system when you work within it.  Your employees work within a hierarchy and it's sometimes hard to deliver hard messages when you are worried about your next performance review.  What will the outcomes and deliverables be? 2 presentations 2 workshops 1 report, 1:1 executive interviews, small focus group interviews   (the number of interviews and focus groups will depend on company size and will be negotiated) If you've been stressing how to improve your distributed work strategy or worried that Amazon and Nike know something you don't about return to office mandates, a current state audit can help you understand how your company is doing. If you've implemented a strategy already but feel it's not quite right, we can look at how we can improve it even more. No one has all the answers about the future of work – each company needs a solution customized for them and their employees. It's not a cut-and-paste type of problem. Do the work now and you will set yourself up to achieve that vision of being an in demand, successful employer dedicated to the health and wellbeing of your employees.  I can help you.  Book your spot now. Don't let your unused 2023 budget haunt your 2024. Who doesn't want to be known as a future-focused innovative and trusted leader?

Interview Episode: Changing the world with DeepTech Innovation w/ Sandeep Hardikar, CEO & Co-Founder at Network Science. Get in touch with Sandeep: Linkedin Contact Network Science: Website The 3 books I referred to during our discussions are:  Employee First, Customer Second – Vineet Nayar https://www.hcltech.com/sites/default/files/documents/resources/brochure/files/emplyeesfirstminibook.pdf   Blue Ocean Strategy - Chan Kim and Renée Mauborgne https://www.blueoceanstrategy.com   Platform Revolution – Geoffrey G. Parker, Marshall Alstyne, Sangeet Choudary http://103.44.149.34/elib/assets/buku/Platfrom_revolution.pdf The #1 source of knowledge for everything automation: https://www.theautomationguys.net Do you have any questions? Would you like to give us feedback? Are you interested in workshops on the topic of automation? Are you an expert in the field of automation and would like to be on the podcast? Let us know: https://bit.ly/3lyq9Yj 

Albert-László Barabási is a network scientist at Northeastern University, and holds an appointment in the Department of Medicine at Harvard Medical School. Barabási's research covers all sorts of networks and he is the author of several books. In this episode, he and Mattias Fridström discuss: The Barabási–Albert model: an algorithm for generating random scale-free networks What Internet operators can learn from network scienceBarabási's work in network medicineUsing big data and network tools to understand how art and science develop What areas of Internet networks that will be in focus in five years' time 

Jim talks with Samuel Scarpino about what we've learned from Covid-19 and how to apply those lessons to preparing for the next pandemic. They discuss takeaways from cross-national comparisons, the social misery index, the failure to control the spread in the U.S., the efficacy of border closure, the test-trace-isolate strategy, what the U.S. should be ready to do in the event of the Big One, capacity for rapid test development, how universities responded in the first wave, Covid as a warning shot, local & federal coordination for pandemic preparedness, the effectiveness of ventilation, airport surveillance, wastewater surveillance, novel pathogen tests, the information chain, educating bureaucrats, leaders who can build public trust, vaccine hesitancy, overconfidence in the speed of mRNA vaccine development, the poor implementation of digital contact tracing, instating a constitutional provision for a first-class emergency, the boringness of good governance, putting vaccines in the public domain, pre-planning scenarios, how a preparedness initiative can pay for itself, and much more. Episode Transcript JRS Currents 047: Samuel Scarpino on the Epidemiology of Covid-19 Samuel V. Scarpino, PhD, is the Director of AI + Life Sciences at the Institute for Experiential AI at Northeastern University and a Professor of the Practice in Health and Computer Sciences. He holds appointments in the Institute for Experiential AI and the Network Science, Global Resilience, and Roux Institutes. Prior to joining Northeastern in November 2022, Scarpino was the Vice President of Pathogen Surveillance at The Rockefeller Foundation and Chief Strategy Officer at Dharma Platform (a social impact, technology startup). Outside of these roles, he has over 10 years of experience translating research into decision support and data science/AI tools across diverse sectors from public health and clinical medicine to real estate and energy.

Nicholas Christakis is the Sterling Professor of Social and Natural Science at Yale University, where he is also Director of the Human Nature Lab and Co-Director of the Yale Institute for Network Science. Nicholas is both a sociologist and a physician; after completing his undergraduate at Yale in biology, he received an M.D. and M.P.H. from Harvard and then a Ph.D. in sociology from the University of Pennsylvania. Nicholas has written numerous books, including Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live (Little, Brown Spark, 2020) and Blueprint: The Evolutionary Origins of a Good Society (Little, Brown Spark, 2019), and this latter book is the subject of this episode. Robinson and Nicholas first discuss the way that genetics manifest themselves in behavior before turning to the way that specific behaviors and tendencies have evolved in humans to promote the flourishing of societies. They then talk about some particular such behaviors and tendencies, like in-group bias and hierarchy, before turning to some implications of the view for how societies ought or ought not to be structured. Nicholas's Website: https://www.humannaturelab.net Nicholas's Twitter: https://twitter.com/NAChristakis Blueprint: The Evolutionary Origins of a Good Society: https://a.co/d/4BeJyS0 OUTLINE 00:00 In This Episode… 01:16 Introduction 04:28 The Motivation Behind Blueprint 23:02 The Genetic Basis of Human Societies 28:27 What Is Network Topology? 38:28 Trade-Complementarity 42:07 The Cultural Universality of Love 48:12 The Eight Cultural Universals 01:02:06 Is Hierarchy Natural? 01:07:13 Human In-Group Bias 01:12:23 Is There a Relationship Between Genes and Social Status? Robinson's Website: http://robinsonerhardt.com Robinson Erhardt researches symbolic logic and the foundations of mathematics at Stanford University. Join him in conversations with philosophers, scientists, weightlifters, artists, and everyone in-between.  --- Support this podcast: https://podcasters.spotify.com/pod/show/robinson-erhardt/support

This is really two separate episodes put together - Dr. Walker delivered grand rounds on network science applications to emergency medicine and it was inspiring. Though because it was such a visual talk, Alex and I had a conversation with her and Dr. Kohler to better understand the topic and present it in a more easily digestable state for you. Both experiences are presented here for your interest.

Albert-László Barabási is a network scientist at Northeastern University, and holds an appointment in the Department of Medicine at Harvard Medical School. Barabási's research covers all sorts of networks and he is the author of several books. In this episode, he and Mattias Fridström discuss: The similarity between different networks – neurological, social, Internet and moreThe robustness of InternetHow Barabási and his research teams are using maps – from brain to Internet maps The idea of universality in networks dynamicsHow Barabási is visualising his research of networks through artHis best-selling book ”Linked” that focuses on the study of networks

Learn from the expertise of Albert-Laszlo Barabasi, author of “The Formula: The Science of Success” and "Bursts: The Hidden Pattern Behind Everything We Do". Also a Robert Gray Dodge Professor of Network Science and Distinguished University Professor at Northeastern University, tune into this inspiring interview with Jess Larsen to gain insight on the widespread emergence of leadership and innovation in natural, technological and social systems like the cellular telephone or the World Wide Web. Discover how the Albert-Laszlo Barabasi model came to be through the discovery of scale-free networks in 1999. Learn more about your ad choices. Visit megaphone.fm/adchoices

It's easy enough to proclaim that we are curious creatures, but what does that really mean? What kinds of curiosity are there? And how does curiosity arise in our brains? Perry Zurn and Dani Bassett are a philosopher and neuroscientist, respectively (as well as twins), whose new book Curious Minds: The Power of Connection explores these questions through an interdisciplinary lens. We break down the different ways that curiosity can manifest — collecting and creating loose knowledge networks, digging deeply to create a tight knowledge network, and creatively leaping to make unexpected connections. Support Mindscape on Patreon.Perry Zurn received a Ph.D. in philosophy from DePaul University. He is currently an Associate Professor and Director of Undergraduate Studies in Philosophy in the Department of Philosophy and Religion at American University. He is the co-founder of the Trans Philosophy Project and the associated Thinking Trans // Trans Thinking Conference. Among his previous works is Curiosity and Power: The Politics of Inquiry.Web siteAmerican University web pageGoogle Scholar publicationsPhilPeople profileTwitterDani Bassett received a Ph.D. in physics from the University of Cambridge. They are currently the J. Peter Skirkanich Professor at the University of Pennsylvania, with appointments in the Departments of Bioengineering, Electrical & Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry, as well as an external professor of the Santa Fe Institute. Among their awards are the Macarthur Fellowship, the Lagrange Prize in Complex Systems Science (2017), and the Erdos-Renyi Prize in Network Science.University of Pennsylvania web pageGoogle Scholar publicationsWikipediaTwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

I am super excited to have David Lazer (1,2) on the pod today.  David Lazer needs no introduction. But here at lazypod we're polite, so he get's one anyway. David Lazer is a University Distinguished Professor of Political Science and Computer Sciences, Northeastern University, and Co-Director, NULab for Texts, Maps, and Networks. Prior to coming to Northeastern University, he was on the faculty at the Harvard Kennedy School (1998-2009). In 2019, he was elected a fellow to the National Academy of Public Administration. His research has been published in such journals as Science, Nature, Proceedings of the National Academy of Science, the American Political Science Review, Organization Science, and the Administrative Science Quarterly, and has received extensive coverage in the media, including the New York Times, NPR, the Washington Post, the Wall Street Journal, and CBS Evening News.He is among the leading scholars in the world on misinformation and computational social science and has served in multiple leadership and editorial positions, including as a board member for the International Network of Social Network Analysts (INSNA), reviewing editor for Science, associate editor of Social Networks and Network Science, numerous other editorial boards and program committees.As always we talk about David path through science, with a particular emphasis on Computational Social Science (3) - a field that he has been absolutely instrumental in establishing. But we also cover many other topics in this wide-ranging converstation which ends up covering his paper “Product diffusion through on-demand information-seeking behaviour” (4) which is one of his favorite papers and least cited, and which has a super-interesting backstory.References(1) https://lazerlab.net(2) https://cssh.northeastern.edu/faculty/david-lazer/(3) https://www.science.org/doi/10.1126/science.1167742(4) https://royalsocietypublishing.org/doi/full/10.1098/rsif.2017.0751

Dr. Silvia Fierascu is an international researcher, trainer and consultant in applied network science. She is Head of OrgMapper Academy at Maven7 Network Research Inc., Lecturer at the Faculty of Political Science, Philosophy and Communication Sciences at West University of Timișoara, Romania, and Founder and Director of a research, development, and innovation lab in social sciences, FabLab - Social Fabrics Research Lab. She earned a PhD in Political Science with a specialization in Network Science from Central European University, and in the past 10 years she has been applying network and data science for positive social impact in business, government, civil society and academia. She helps organizations translate complex problems into solutions for organizational development, change management, better communication, good governance, public policy, and social impact. In this episode, we talk about the application of network science to understanding organizations, anti-corruption and another current project she has called FabLab! The insights shared are relevant to anyone curious about how things run beneath the lines of assumptions and serve as a basis for inspired policy and persistent curiosity. Registration is free for the ONA Summit November 16-18th.Links to subjects covered in our conversation:- ONA Summit 2022: www.onasummit.com- OrgMapper: www.orgmapper.com- FabLab: https://bit.ly/fablab_uvt- Corruption Risks in Public Procurement Country Profile: https://sites.google.com/e-uvt.ro/silviafierascu/research/state-capture-country-profiles?authuser=2Contact or Follow Dawna on any one of these channels:Linkedin: https://www.linkedin.com/in/dawnahjones/Twitter: EPDawna_JonesInstagram: https://www.instagram.com/insightful_dawna/Navigating Uncertainty Newsletter: https://dawnajones.substack.com/Thanks to Mark Romero Music for the intro track, Alignment.Support this show http://supporter.acast.com/insight-to-action-inspirational-insights-podcast. Hosted on Acast. See acast.com/privacy for more information.

Holy cow, it was great to chat with Brennan Klein (1). It's another renaissance person on the Pod. In his research, Brennan attempts to understand how complex systems are able to represent, predict, and intervene on their surroundings across a number of different scales—all in ways that appear to maintain the statistical boundary between them and their environment. He uses this approach to study a range of phenomena from decision making, to experimental design, to causation and emergence in networks. Brennan is currently working with Professors Alessandro Vespignani and Sam Scarpino on a research examining the teleology of networks, or why there appears to be an apparent purpose or goal-directedness to the dynamics and structure of networks.He received a BA in Cognitive Science and Psychology from Swarthmore College in 2014, studying the relationship between perception, action, and cognition.  I received my PhD in Network Science from Northeastern University in 2020. Now he's  a postdoc at the Network Science Institute, Northeastern University, he's a senior researcher at Verses Inc (2) and he's a Data for Justice Fellow at Institute for the Study of Policing, Incarceration, and Public Safety; The Hutchins Center for African & African American Research at a small university, Harvard.With those two postdoc advisors, it should come as no surprise that during COVID, Brennan has a number of important COVID related publications as well.We talk about his paper “Network comparison and the within-ensemble graph distance” (3) but there's so much more!!And finally Brennan makes art under the pseudonym JK Rofling (4). I urge every single one of you to go check out his art. It's great. And I totally didn't get to ask him about it. Because we spent so much time covering the many other exciting things Brennan has got going on.References(1) https://www.jkbrennan.com(2) https://www.verses.io(3) https://royalsocietypublishing.org/doi/10.1098/rspa.2019.0744(4) https://www.jkrofling.com

Dr. Nicholas Christakis is a Greek-American sociologist and physician known for his research on social networks and on the socioeconomic, biosocial, and evolutionary determinants of behavior, health, and longevity. He is the Sterling Professor of Social and Natural Science at Yale University, where he directs the Human Nature Lab. He is also the Co-Director of the Yale Institute for Network Science. If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts/iTunes and a rating on our Spotify show? It takes less than 60 seconds, and it really makes a difference in helping to convince hard-to-get guests. I also love reading the reviews! Subscribe on YouTube: http://bit.ly/38bZNAY Listen on Apple Podcast: https://buff.ly/2PycRL1 Listen on Spotify: https://bit.ly/growth-minds Follow me on Instagram: http://www.instagram.com/heyseankim Learn Spanish by speaking it for free: https://www.jumpspeak.com Past guests on Growth Minds include: Robert Kiyosaki, Steve Aoki, Robert Greene, Dr. Jason Fung, Dr. Steven Gundry, Neil deGrasse Tyson, Dennis Rodman, Wim Hof, Robin Sharma, Vanessa Van Edwards, King Bach, and more.

This is part 1 of my conversation with George Roberts, George is an apartment owner and a Principal at Horizon Multifamily, which is focused on value-add opportunities in Central Florida. He is the founder of Walnut Grove Homes, an upscale residential construction company based in Troy, Michigan, which reached seven-figure status in 2021. He hosts “The Foundery – Where Leaders are Forged Daily!”, a daily podcast devoted to entrepreneurs focused on syndication as well as both active and passive multifamily real estate investment.   In this episode, George shares his story as an investor, landlord, and a podcaster. He talks about the importance of having a good work-life balance, how being a PhD can help you be successful in real estate, and the importance of having a strong determination to succeed. George is a great example of someone who has succeeded in real estate despite having a challenging academic background. He offers advice to others who may feel like they don't belong in the real estate industry, and encourages listeners to find their tribe and pursue their dreams.   [00:01 - 03:55] The Importance of Having a Strong Discipline In Real Estate Investing   George talks about the importance of having strong discipline when it comes to real estate investing, and how it's different than other types of leadership He started off as an accidental landlord when he bought a home during the housing crisis His father encouraged him to become a landlord, and he has been successful for over a decade   [03:56 - 15:59] Succeed In Real Estate Investing Despite The Lack of Knowledge George discusses the unique leadership style of entrepreneurship, which is more demanding than corporate leadership He discusses the book, “How to Win Friends and Influence People by Dale Carnegie” He explains that people only do what they find pleasurable, and when they condition themselves to have those times, they can handle the ups and downs better One of the simplest ways to distinguish yourself is to remember people's names and pronounce them properly People are more open to being understanding of others when their names are remembered [16:00 - 23:49] Closing Segment   George explains the concept of network science This key concept is used to understand how networks function, and how they are related to each  The hub and spoke model, describes how a network is divided into two groups: hubs and spokes George invites us to visit his website: https://www.horizonmultifamily.com/     Tweetable Quotes:   “Doing something 90% is the worst use of time, right? You're going to fail. You did 90% of the work, and you're going to fail. Doing something 110% is the best use of time. Just add another 10% and all of a sudden you have separated yourself from the crowd.” – George Roberts   “If you don't find people interesting, it's because you're just not taking the time.” – George Roberts     Connect with George through his website, Facebook, LinkedIn, and Twitter!   LEAVE A REVIEW + help someone who wants to explode their business growth by sharing this episode. Are you confused about where to start? Join our community and learn more about real estate investing. Head over to our Facebook Page, Youtube Channel, or website https://www.theacademypresents.com/jointhesummit36848306. Connect with Lorren Capital, LLC. for syndicated multifamily investments, https://lorrencapital.com/. To learn more about me, visit my LinkedIn profile, and connect with me.

“Are there simple forms of artificial intelligence, simple programming of bots, such that when they are added to groups of humans – because those humans are smart or otherwise positively inclined - that help the humans to help themselves? Can we get groups of people to work better together, for instance, to confront climate change, or to reduce racism online, or to foster innovation within firms?Can we have simple forms of AI that are added into our midst that make us work better together? And the work we're doing in that part of my lab shows that abundantly that's the case. And we published a stream of papers showing that we can do that.” Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.Nicholas Christakis: humannaturelab.net/people/nicholas-christakisHuman Nature Lab: humannaturelab.netYale Institute for Network Science: yins.yale.edusociology.yale.edu/people/nicholas-christakisTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data: trellis.yale.edu.The Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.creativeprocess.infowww.oneplanetpodcast.org

Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.“We're not attempting to invent super smart AI to replace human cognition. We are inventing dumb AI to supplement human interaction. Are there simple forms of artificial intelligence, simple programming of bots, such that when they are added to groups of humans – because those humans are smart or otherwise positively inclined - that help the humans to help themselves? Can we get groups of people to work better together, for instance, to confront climate change, or to reduce racism online, or to foster innovation within firms? Can we have simple forms of AI that are added into our midst that make us work better together? And the work we're doing in that part of my lab shows that abundantly that's the case. And we published a stream of papers showing that we can do that.”· Nicholas Christakis: humannaturelab.net/people/nicholas-christakis· Human Nature Lab: humannaturelab.net· Yale Institute for Network Science: yins.yale.edu· sociology.yale.edu/people/nicholas-christakis · Blueprint: The Evolutionary Origins of a Good Society · Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live· TRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data: trellis.yale.edu.The Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.theatlantic.com/magazine/archive/2019/04/robots-human-relationships/583204/· www.creativeprocess.info · www.oneplanetpodcast.org

“When we look around the world, we see endless and timeless fear, ignorance, hatred, and violence. From our position, we could also boundlessly catalogue the minute details of human groups, highlighting and emphasizing the differences among them. But this pessimistic gaze that separates humans from one another by highlighting evil and by emphasizing difference misses an important underlying unity and overlooks our common humanity. Humans everywhere are also pre-wired to make a particular kind of society — one full of love, friendship, cooperation, and learning.
Humans have always had both competitive and cooperative impulses, both violent and beneficent tendencies. Like the two strands of the double helix of our DNA, these conflicting impulses are intertwined. We are primed for conflict and hatred but also for love, friendship, and cooperation. If anything, modern societies are just a patina of civilization on top of this evolutionary blueprint.
The good things we see around us are part of what makes us human in the first place. We should be humble in the face of temptations to engineer society in opposition to our instincts. Fortunately, we do not need to exercise any such authority in order to have a good life. The arc of our evolutionary history is long. But it bends toward goodness.”Excerpted from BLUEPRINT: The Evolutionary Origins of a Good SocietyCopyright © 2020 by Nicholas A. Christakis· Nicholas Christakis: humannaturelab.net/people/nicholas-christakis· Human Nature Lab: humannaturelab.net· Yale Institute for Network Science: yins.yale.edu· sociology.yale.edu/people/nicholas-christakis · Blueprint: The Evolutionary Origins of a Good Society · Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live· TRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data: trellis.yale.edu.The Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”· www.creativeprocess.info · www.oneplanetpodcast.org

Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.“When we look around the world, we see endless and timeless fear, ignorance, hatred, and violence. From our position, we could also boundlessly catalogue the minute details of human groups, highlighting and emphasizing the differences among them. But this pessimistic gaze that separates humans from one another by highlighting evil and by emphasizing difference misses an important underlying unity and overlooks our common humanity. Humans everywhere are also pre-wired to make a particular kind of society — one full of love, friendship, cooperation, and learning.
Humans have always had both competitive and cooperative impulses, both violent and beneficent tendencies. Like the two strands of the double helix of our DNA, these conflicting impulses are intertwined. We are primed for conflict and hatred but also for love, friendship, and cooperation. If anything, modern societies are just a patina of civilization on top of this evolutionary blueprint.
The good things we see around us are part of what makes us human in the first place. We should be humble in the face of temptations to engineer society in opposition to our instincts. Fortunately, we do not need to exercise any such authority in order to have a good life. The arc of our evolutionary history is long. But it bends toward goodness.”Excerpted from BLUEPRINT: The Evolutionary Origins of a Good SocietyCopyright 2020 by Nicholas A. Christakis· www.oneplanetpodcast.org· www.creativeprocess.info

Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world. “When we look around the world, we see endless and timeless fear, ignorance, hatred, and violence. From our position, we could also boundlessly catalogue the minute details of human groups, highlighting and emphasizing the differences among them. But this pessimistic gaze that separates humans from one another by highlighting evil and by emphasizing difference misses an important underlying unity and overlooks our common humanity. Humans everywhere are also pre-wired to make a particular kind of society — one full of love, friendship, cooperation, and learning.Humans have always had both competitive and cooperative impulses, both violent and beneficent tendencies. Like the two strands of the double helix of our DNA, these conflicting impulses are intertwined. We are primed for conflict and hatred but also for love, friendship, and cooperation. If anything, modern societies are just a patina of civilization on top of this evolutionary blueprint. The good things we see around us are part of what makes us human in the first place. We should be humble in the face of temptations to engineer society in opposition to our instincts. Fortunately, we do not need to exercise any such authority in order to have a good life. The arc of our evolutionary history is long. But it bends toward goodness.”Excerpted from BLUEPRINT: The Evolutionary Origins of a Good SocietyCopyright 2020 by Nicholas A. Christakishumannaturelab.net/people/nicholas-christakisHuman Nature Lab humannaturelab.netYale Institute for Network Science yins.yale.eduTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data trellis.yale.eduThe Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.creativeprocess.infowww.oneplanetpodcast.org

“When we look around the world, we see endless and timeless fear, ignorance, hatred, and violence. From our position, we could also boundlessly catalogue the minute details of human groups, highlighting and emphasizing the differences among them. But this pessimistic gaze that separates humans from one another by highlighting evil and by emphasizing difference misses an important underlying unity and overlooks our common humanity. Humans everywhere are also pre-wired to make a particular kind of society — one full of love, friendship, cooperation, and learning.
Humans have always had both competitive and cooperative impulses, both violent and beneficent tendencies. Like the two strands of the double helix of our DNA, these conflicting impulses are intertwined. We are primed for conflict and hatred but also for love, friendship, and cooperation. If anything, modern societies are just a patina of civilization on top of this evolutionary blueprint.
The good things we see around us are part of what makes us human in the first place. We should be humble in the face of temptations to engineer society in opposition to our instincts. Fortunately, we do not need to exercise any such authority in order to have a good life. The arc of our evolutionary history is long. But it bends toward goodness.”Excerpted from BLUEPRINT: The Evolutionary Origins of a Good SocietyCopyright 2020 by Nicholas A. ChristakisNicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world. “When we look around the world, we see endless and timeless fear, ignorance, hatred, and violence. From our position, we could also boundlessly catalogue the minute details of human groups, highlighting and emphasizing the differences among them. But this pessimistic gaze that separates humans from one another by highlighting evil and by emphasizing difference misses an important underlying unity and overlooks our common humanity. Humans everywhere are also pre-wired to make a particular kind of society — one full of love, friendship, cooperation, and learning. Humans have always had both competitive and cooperative impulses, both violent and beneficent tendencies. Like the two strands of the double helix of our DNA, these conflicting impulses are intertwined. We are primed for conflict and hatred but also for love, friendship, and cooperation. If anything, modern societies are just a patina of civilization on top of this evolutionary blueprint. The good things we see around us are part of what makes us human in the first place. We should be humble in the face of temptations to engineer society in opposition to our instincts. Fortunately, we do not need to exercise any such authority in order to have a good life. The arc of our evolutionary history is long. But it bends toward goodness.”humannaturelab.net/people/nicholas-christakisHuman Nature Lab humannaturelab.netYale Institute for Network Science yins.yale.eduTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data trellis.yale.eduThe Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.creativeprocess.infowww.oneplanetpodcast.org

Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world. “When we look around the world, we see endless and timeless fear, ignorance, hatred, and violence. From our position, we could also boundlessly catalogue the minute details of human groups, highlighting and emphasizing the differences among them. But this pessimistic gaze that separates humans from one another by highlighting evil and by emphasizing difference misses an important underlying unity and overlooks our common humanity. Humans everywhere are also pre-wired to make a particular kind of society — one full of love, friendship, cooperation, and learning. Humans have always had both competitive and cooperative impulses, both violent and beneficent tendencies. Like the two strands of the double helix of our DNA, these conflicting impulses are intertwined. We are primed for conflict and hatred but also for love, friendship, and cooperation. If anything, modern societies are just a patina of civilization on top of this evolutionary blueprint. The good things we see around us are part of what makes us human in the first place. We should be humble in the face of temptations to engineer society in opposition to our instincts. Fortunately, we do not need to exercise any such authority in order to have a good life. The arc of our evolutionary history is long. But it bends toward goodness.”Excerpted from BLUEPRINT: The Evolutionary Origins of a Good Society Copyright 2020 by Nicholas A. ChristakisNicholas ChristakisHuman Nature Lab humannaturelab.netYale Institute for Network Science yins.yale.eduTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data trellis.yale.eduThe Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.creativeprocess.infowww.oneplanetpodcast.org

“We're not attempting to invent super smart AI to replace human cognition. We are inventing dumb AI to supplement human interaction. Are there simple forms of artificial intelligence, simple programming of bots, such that when they are added to groups of humans – because those humans are smart or otherwise positively inclined - that help the humans to help themselves? Can we get groups of people to work better together, for instance, to confront climate change, or to reduce racism online, or to foster innovation within firms?Can we have simple forms of AI that are added into our midst that make us work better together? And the work we're doing in that part of my lab shows that abundantly that's the case. And we published a stream of papers showing that we can do that.” Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.Nicholas Christakis Human Nature Lab humannaturelab.netYale Institute for Network Science yins.yale.eduTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data trellis.yale.eduThe Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.creativeprocess.infowww.oneplanetpodcast.org

“We're not attempting to invent super smart AI to replace human cognition. We are inventing dumb AI to supplement human interaction. Are there simple forms of artificial intelligence, simple programming of bots, such that when they are added to groups of humans – because those humans are smart or otherwise positively inclined - that help the humans to help themselves? Can we get groups of people to work better together, for instance, to confront climate change, or to reduce racism online, or to foster innovation within firms? Can we have simple forms of AI that are added into our midst that make us work better together? And the work we're doing in that part of my lab shows that abundantly that's the case. And we published a stream of papers showing that we can do that.”Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.
humannaturelab.net/people/nicholas-christakisHuman Nature Lab humannaturelab.netYale Institute for Network Science yins.yale.eduTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data trellis.yale.eduThe Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.creativeprocess.infowww.oneplanetpodcast.org

Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.“So cities are amazing. Now, why are they amazing? Well, there's one aspect that relates to some of the work that my lab does on human social interactions, which is the main focus of what my lab does. We look at the mathematical, biological, psychological, and social underpinnings and consequences of human social interactions...As the size of the population grows, the combinatorial complexity, the network complexity rises superlinearly. So a city that's 10 times the size has a hundred times as many social possible social connections. And it's the social connections between people that lead to the creation of new ideas, people mixing and bumping into each other with different occupations and different business ideas, and different ways of life. So one of the ideas about cities is that they are these creative places and, as they get bigger and bigger, they get more and more creative. That's just one thought that connects networks to cities in the 21st century”Nicholas Christakis humannaturelab.net/people/nicholas-christakisHuman Nature Lab: humannaturelab.netYale Institute for Network Science yins.yale.edusociology.yale.edu/people/nicholas-christakisBlueprint: The Evolutionary Origins of a Good Society Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We LiveTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data: trellis.yale.edu.The Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.theatlantic.com/magazine/archive/2019/04/robots-human-relationships/583204/www.creativeprocess.infowww.oneplanetpodcast.org

“So cities are amazing. Now, why are they amazing? Well, there's one aspect that relates to some of the work that my lab does on human social interactions, which is the main focus of what my lab does. We look at the mathematical, biological, psychological, and social underpinnings and consequences of human social interactions...As the size of the population grows, the combinatorial complexity, the network complexity rises superlinearly. So a city that's 10 times the size has a hundred times as many social possible social connections. And it's the social connections between people that lead to the creation of new ideas, people mixing and bumping into each other with different occupations and different business ideas, and different ways of life. So one of the ideas about cities is that they are these creative places and, as they get bigger and bigger, they get more and more creative. That's just one thought that connects networks to cities in the 21st century”Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.Nicholas Christakis humannaturelab.net/people/nicholas-christakisHuman Nature Lab: humannaturelab.netYale Institute for Network Science yins.yale.edusociology.yale.edu/people/nicholas-christakisBlueprint: The Evolutionary Origins of a Good Society Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We LiveTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data: trellis.yale.edu.The Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.theatlantic.com/magazine/archive/2019/04/robots-human-relationships/583204/www.creativeprocess.infowww.oneplanetpodcast.org

“We're not attempting to invent super smart AI to replace human cognition. We are inventing dumb AI to supplement human interaction. Are there simple forms of artificial intelligence, simple programming of bots, such that when they are added to groups of humans – because those humans are smart or otherwise positively inclined - that help the humans to help themselves? Can we get groups of people to work better together, for instance, to confront climate change, or to reduce racism online, or to foster innovation within firms?Can we have simple forms of AI that are added into our midst that make us work better together? And the work we're doing in that part of my lab shows that abundantly that's the case. And we published a stream of papers showing that we can do that.” Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.Nicholas Christakis: humannaturelab.net/people/nicholas-christakisHuman Nature Lab: humannaturelab.net Yale Institute for Network Science: yins.yale.edusociology.yale.edu/people/nicholas-christakisBlueprint: The Evolutionary Origins of a Good Society Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We LiveTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data: trellis.yale.edu.The Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.creativeprocess.infowww.oneplanetpodcast.org

Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.“We're not attempting to invent super smart AI to replace human cognition. We are inventing dumb AI to supplement human interaction. Are there simple forms of artificial intelligence, simple programming of bots, such that when they are added to groups of humans – because those humans are smart or otherwise positively inclined - that help the humans to help themselves? Can we get groups of people to work better together, for instance, to confront climate change, or to reduce racism online, or to foster innovation within firms? Can we have simple forms of AI that are added into our midst that make us work better together? And the work we're doing in that part of my lab shows that abundantly that's the case. And we published a stream of papers showing that we can do that.”Nicholas Christakis humannaturelab.net/people/nicholas-christakisHuman Nature Lab: humannaturelab.netYale Institute for Network Science yins.yale.edusociology.yale.edu/people/nicholas-christakisBlueprint: The Evolutionary Origins of a Good Society Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We LiveTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data: trellis.yale.edu.The Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.theatlantic.com/magazine/archive/2019/04/robots-human-relationships/583204/www.creativeprocess.infowww.oneplanetpodcast.org

“We're not attempting to invent super smart AI to replace human cognition. We are inventing dumb AI to supplement human interaction. Are there simple forms of artificial intelligence, simple programming of bots, such that when they are added to groups of humans – because those humans are smart or otherwise positively inclined - that help the humans to help themselves? Can we get groups of people to work better together, for instance, to confront climate change, or to reduce racism online, or to foster innovation within firms?Can we have simple forms of AI that are added into our midst that make us work better together? And the work we're doing in that part of my lab shows that abundantly that's the case. And we published a stream of papers showing that we can do that.” Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.Nicholas ChristakisHuman Nature Lab humannaturelab.netYale Institute for Network Science yins.yale.eduTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data trellis.yale.eduThe Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.creativeprocess.infowww.oneplanetpodcast.org

Nicholas Christakis, MD, PhD, MPH, is a social scientist and physician who conducts research in the areas of biosocial science, network science and behavioral genetics. He directs the Human Nature Lab at Yale University and is the co-director of the Yale Institute for Network Science. Dr. Christakis has authored numerous books, including Blueprint: The Evolutionary Origins of a Good Society published in 2019 and Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live published in 2020. In 2009, Christakis was named by TIME magazine to their annual list of the 100 most influential people in the world.
“We're not attempting to invent super smart AI to replace human cognition. We are inventing dumb AI to supplement human interaction. Are there simple forms of artificial intelligence, simple programming of bots, such that when they are added to groups of humans – because those humans are smart or otherwise positively inclined - that help the humans to help themselves? Can we get groups of people to work better together, for instance, to confront climate change, or to reduce racism online, or to foster innovation within firms? Can we have simple forms of AI that are added into our midst that make us work better together? And the work we're doing in that part of my lab shows that abundantly that's the case. And we published a stream of papers showing that we can do that.”Nicholas Christakis Human Nature Lab humannaturelab.netYale Institute for Network Science yins.yale.eduTRELLIS - Suite of software tools for developing, administering, and collecting survey and social network data trellis.yale.eduThe Atlantic: “How AI Will Rewire Us: For better and for worse, robots will alter humans' capacity for altruism, love, and friendship”www.creativeprocess.infowww.oneplanetpodcast.org

Our guests in this episode are Ryan Gallagher, a PhD Candidate in Network Science at Northeastern University, and Brooke Foucault Welles, an Associate Professor in Communication Studies and the Network Science Institute at Northeastern University. We discuss their 2019 CSCW paper, "Reclaiming Stigmatized Narratives: The Networked Disclosure Landscape of #MeToo" with co-authors Elizabeth Stowell and Andrea G. Parker. We talk about their substantive motivation for focusing on #metoo, the networked counter public, and hashtags' influence on social change. Ryan and Brooke also walk us through the advantages of pairing qualitative and quantitative work, weaving ethics throughout every stage of the research process, dealing with missing Tweets, and taking seriously both the "computational" and "social science" sides of CSS.

Listen to this interview of Dashun Wang, Professor at the Kellogg School of Management and McCormick School of Engineering at Northwestern University, and also with Albert-László Barabási, Robert Gray Dodge Professor of Network Science and Distinguished University Professor at Northeastern University. We talk about their new book The Science of Science" (Cambridge UP, 2021) and science, squared. Albert-László Barabási : "There is, of course, the need that you grow professionally. If you're a mathematician, you need to perfect your math. If you're a physicist, you need to do your physics. If you're a biologist, you need to develop your lab techniques. But no matter the magnitude of any discovery you might make, it's not impactful unless you can actually communicate it. And I think that this is where science lacks significantly. I would even go so far as to say, there is a counter-selection: People who are not necessarily the best communicators tend to prefer science because there's the impression that that is not the skill that you need — you just need to be able to solve problems in a meaningful way. But if you're not able to write your ideas down, if you're not able to share your ideas with your community, then it's really as if you didn't have the ideas at all. And you know, I have experienced this in my own career. When I got interested in network science back in 1994/95, for the first few years my papers got rejected one after the other, and not because it wasn't good science (as I would later realize) — no, my papers were getting rejected because I could not communicate to the community at large and to my referees in particular why we should care about networks. And it took me about five years to find the way into people's minds, to learn how they write papers about networks. I needed to learn the hard way about how the community of scientists appreciated and did not appreciate research on networks. And it took me so long because I'd never been offered the opportunity to study the communication of science." Watch Daniel edit your science here. Contact Daniel at writeyourresearch@gmail.com. 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

Listen to this interview of Dashun Wang, Professor at the Kellogg School of Management and McCormick School of Engineering at Northwestern University, and also with Albert-László Barabási, Robert Gray Dodge Professor of Network Science and Distinguished University Professor at Northeastern University. We talk about their new book The Science of Science" (Cambridge UP, 2021) and science, squared. Albert-László Barabási : "There is, of course, the need that you grow professionally. If you're a mathematician, you need to perfect your math. If you're a physicist, you need to do your physics. If you're a biologist, you need to develop your lab techniques. But no matter the magnitude of any discovery you might make, it's not impactful unless you can actually communicate it. And I think that this is where science lacks significantly. I would even go so far as to say, there is a counter-selection: People who are not necessarily the best communicators tend to prefer science because there's the impression that that is not the skill that you need — you just need to be able to solve problems in a meaningful way. But if you're not able to write your ideas down, if you're not able to share your ideas with your community, then it's really as if you didn't have the ideas at all. And you know, I have experienced this in my own career. When I got interested in network science back in 1994/95, for the first few years my papers got rejected one after the other, and not because it wasn't good science (as I would later realize) — no, my papers were getting rejected because I could not communicate to the community at large and to my referees in particular why we should care about networks. And it took me about five years to find the way into people's minds, to learn how they write papers about networks. I needed to learn the hard way about how the community of scientists appreciated and did not appreciate research on networks. And it took me so long because I'd never been offered the opportunity to study the communication of science." Watch Daniel edit your science here. Contact Daniel at writeyourresearch@gmail.com. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

Listen to this interview of Dashun Wang, Professor at the Kellogg School of Management and McCormick School of Engineering at Northwestern University, and also with Albert-László Barabási, Robert Gray Dodge Professor of Network Science and Distinguished University Professor at Northeastern University. We talk about their new book The Science of Science" (Cambridge UP, 2021) and science, squared. Albert-László Barabási : "There is, of course, the need that you grow professionally. If you're a mathematician, you need to perfect your math. If you're a physicist, you need to do your physics. If you're a biologist, you need to develop your lab techniques. But no matter the magnitude of any discovery you might make, it's not impactful unless you can actually communicate it. And I think that this is where science lacks significantly. I would even go so far as to say, there is a counter-selection: People who are not necessarily the best communicators tend to prefer science because there's the impression that that is not the skill that you need — you just need to be able to solve problems in a meaningful way. But if you're not able to write your ideas down, if you're not able to share your ideas with your community, then it's really as if you didn't have the ideas at all. And you know, I have experienced this in my own career. When I got interested in network science back in 1994/95, for the first few years my papers got rejected one after the other, and not because it wasn't good science (as I would later realize) — no, my papers were getting rejected because I could not communicate to the community at large and to my referees in particular why we should care about networks. And it took me about five years to find the way into people's minds, to learn how they write papers about networks. I needed to learn the hard way about how the community of scientists appreciated and did not appreciate research on networks. And it took me so long because I'd never been offered the opportunity to study the communication of science." Watch Daniel edit your science here. Contact Daniel at writeyourresearch@gmail.com. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/sociology

He is the Sterling Professor of Social and Natural Science at Yale, where he directs the Human Nature Lab and co-directs the Yale Institute for Network Science. His latest book is "Apollo’s Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live," and also check out "Blueprint: The Evolutionary Origins of a Good Society." We talk Covid, plagues, and friendship as a virtue. Get full access to The Weekly Dish at andrewsullivan.substack.com/subscribe

Dunbar's Number is a well-known concept which states that the number of social ties a person has is about 150. But... when Dunbar, the famous researcher who came up with this thesis, promoted this idea on his many interviews lately, people's reaction was of disbelief. 150 sounded to them as an inflated number. If it is true, where are all these friends? So who's right - Dunbar or the talkbackers? To help expand the SNA and Network Science community, NETfrix needs your ratings! Rate NETfrix on Spotify or Apple podcasts. Click for Transcript & Links See you on the other side of NETfrix.:) #Podcast #NetworkScience #SNA #SocialNetworkAnalysis #GraphTheory #DataScience #Statistics #ONA #Haaretz #AlanAlda

In this episode, Sam Harris speaks with Nicholas Christakis about the lessons of the COVID pandemic. They discuss our failures to coordinate an effective response, the politics surrounding vaccination, vaccine efficacy, vaccine safety, how to think about scientific controversies, the epidemiology of excess deaths, transmission among the vaccinated, natural immunity, selection pressures and new variants, the failure of institutions, the lab-leak hypothesis, the efficacy of lockdowns, vaccine mandates, boosters, what would happen in a worse pandemic, and other topics. Nicholas A. Christakis, MD, PhD, MPH, is the Sterling Professor of Social and Natural Science at Yale University, where he directs the Human Nature Lab and is the Co-Director of the Yale Institute for Network Science. He was elected to the National Academy of Medicine in 2006, the American Association for the Advancement of Science in 2010, and the American Academy of Arts and Sciences in 2017. He is the author of several books—Connected: The Amazing Power of Social Networks and How They Shape Our Lives, Blueprint: The Evolutionary Origins of a Good Society, and most recently Apollo’s Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live. Website: www.humannaturelab.net Twitter: @NAChristakis Learning how to train your mind is the single greatest investment you can make in life. That’s why Sam Harris created the Waking Up app. From rational mindfulness practice to lessons on some of life’s most important topics, join Sam as he demystifies the practice of meditation and explores the theory behind it.

Nicholas A. Christakis is the Sterling Professor of Social and Natural Science at Yale University, where he also directs the Human Nature Lab, and serves as Co-Director of the Yale Institute for Network Science. His most recent book is Apollo's Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live. https://www.amazon.com/Apollos-Arrow-Profound-Enduring-Coronavirus/dp/0316628212

Nicholas Christakis is a sociologist and physician known for his research on social networks and on the socioeconomic, biosocial, and evolutionary determinants of behavior, health, and longevity. He is the Sterling Professor of Social and Natural Science at Yale University, where he directs the Human Nature Lab. He is also the Co-Director of the Yale Institute for Network Science.