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Today's episode is different from all the previous ones, as for the first time on Scaling Theory, we focus on research methodology, exploring how AI is reshaping the very process of doing research and what that shift means for science and society at large.I sat down with James Evans, Professor of Sociology, Computational and Data Science at the University of Chicago, External Professor at the Santa Fe Institute, and Faculty Member at the Complexity Science Hub in Vienna, to explore how AI is transforming the way we simulate, scale, and understand human behavior, and what that shift means for science and society.We dive into his pioneering work on using large language models to simulate individuals, societies, and entire social systems. James and I explore the strengths and limits of AI agents for both the social and hard sciences before reflecting on the future of social science itself. We talk about research centers entirely run by AI and conferences conducted by AI agents, without any human involvement. We also discuss the role of small research teams in disruptive innovation, and how to cultivate proximity and serendipity in a research world where we increasingly cooperate with machines.You can follow me on X (@ProfSchrepel) and BlueSky (@ProfSchrepel) to receive regular updates.References:- Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions (2025) https://osf.io/preprints/socarxiv/vp3j2_v3- LLM Social Simulations Are a Promising Research Method (2025) https://arxiv.org/pdf/2504.02234- Large teams develop and small teams disrupt science and technology (2019) https://www.nature.com/articles/s41586-019-0941-9?wpisrc=- AI Expands Scientists' Impact but Contracts Science's Focus (2024) https://arxiv.org/abs/2412.07727- The Paradox of Collective Certainty in Science (2024) https://arxiv.org/html/2406.05809v1?utm_source=chatgpt.com- Being Together in Place as a Catalyst for Scientific Advance (Research Policy, 2023) https://www.sciencedirect.com/science/article/pii/S0048733323001956
In the last episode, Paul Smaldino, Professor of Cognitive and Information Sciences at the University of California, Merced, and an External Professor at the Santa Fe Institute discussed how human behaviour is shaped by cultural evolution. In this episode, Paul discusses social learning and identity signalling and how they’re both being affected by rapidly changing technologies. Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
We all know that we are shaped by evolution, but we're also shaped by cultural evolution. In this episode, we’re joined by Paul Smaldino, Professor of Cognitive and Information Sciences at the University of California, Merced, and an External Professor at the Santa Fe Institute, to explain how cultural evolution has shaped human behaviour. Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas
It is a feature of many human activities - sports, cooking, music, interpersonal relations - that being able to do them well doesn't necessarily mean you can accurately describe how to do them well. Science is no different. Many successful scientists are not very good at explaining what goes into successful scientific practice. To understand that, it's necessary to study science in a scientific fashion. What kinds of scientists, in what kinds of collaborations, using what kinds of techniques, do well? I talk with James Evans, an expert on collective intelligence and the construction of knowledge, about how science really works.Blog post with transcript: https://www.preposterousuniverse.com/podcast/2025/02/10/304-james-evans-on-innovation-consolidation-and-the-science-of-science/Support Mindscape on Patreon.James Evans received his Ph.D. in Sociology from Stanford University. He is currently the Max Palevsky Professor of History and Civilizations, Director of Knowledge Lab, and Faculty Director of Computational Social Science at the University of Chicago; External Professor at the Santa Fe Institute; External Faculty at the Complexity Science Hub, Vienna; and Visiting Faculty Researcher at Google.Knowledge Lab web siteUniversity of Chicago web pageGoogle scholar publicationsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
A new Craftwork episode featuring a conversation with John Kaag, a philosopher and author who is also now the co-founder and chief creative officer of Rebind, a company that creates interactive reading experiences using AI and featuring leading authors and scholars like Margaret Atwood, Clancy Martin, John Banville, Roxane Gay, Deepak Chopra, and others. Kaag is professor of Philosophy at the University of Massachusetts, Lowell. Kaag specializes in American philosophy and is the Donohue Professor of Ethics and the Arts at UMass Lowell, External Professor at the Santa Fe Institute and Advisor at Outlier.org. In February 2023, Kaag delivered the lecture "William James and the Sick Soul" for Harvard Divinity School's William James Lectures on Religious Experience series. He lives in Carlisle, MA with his wife, Kathleen, and their two children. *** Otherppl with Brad Listi is a weekly literary podcast featuring in-depth interviews with today's leading writers. Available where podcasts are available: Apple Podcasts, Spotify, YouTube, etc. Subscribe to Brad Listi's email newsletter. Support the show on Patreon Merch Instagram TikTok Bluesky Email the show: letters [at] otherppl [dot] com The podcast is a proud affiliate partner of Bookshop, working to support local, independent bookstores. Learn more about your ad choices. Visit megaphone.fm/adchoices
Hear from Prof. J. Doyne Farmer, Professor of Complex Systems Science at the University of Oxford, as we explore new modelling approaches designed to better capture the complex and chaotic nature of our climate and economy. We spend a lot of time on this podcast covering the transition to a low carbon economy, which will be driven largely by policies and technological innovation. These policies tend to be based on insights from economics. And our view on the pace of innovation is often informed by expert judgement. But traditional economic models often oversimplify the world, leading to poor policy design. And we tend to underestimate the exponential rate of technological change, making us unduly pessimistic about the transition. Today's guest has thought a great deal about both these issues. That's why in today's episode we'll be diving into the world of complexity economics and agent-based modelling, which can help us better navigate the risks and opportunities associated with the transition. We'll discuss: How agent-based models are very well suited to modelling complex, non-linear systems, such as the economy; How past innovation cycles can provide invaluable insights on what we might expect to see in the transition; and What the models tell us about the appropriate speed of the transition to a net zero world. To find out more about the Sustainability and Climate Risk (SCR®) Certificate, follow this link: https://www.garp.org/scr For more information on climate risk, visit GARP's Global Sustainability and Climate Risk Resource Center: https://www.garp.org/sustainability-climate If you have any questions, thoughts, or feedback regarding this podcast series, we would love to hear from you at: climateriskpodcast@garp.com Links from today's discussion: Making Sense of Chaos: A Better Economics for a Better World: https://www.penguin.co.uk/books/284357/making-sense-of-chaos-by-farmer-j-doyne/9780241201978 Santa Fe Institute's Office of Applied Complexity: https://www.santafe.edu/applied-complexity/office GARP Climate Risk Podcast with Simon Sharpe: https://www.garp.org/podcast/five-times-faster-cr-240321 GARP Climate Risk Podcast with David Stainforth: https://www.garp.org/podcast/predicting-climate-future-cr-241128 Speaker's Bio(s) Prof. J. Doyne Farmer, Professor of Complex Systems Science, University of Oxford J. Doyne Farmer is Baillie Gifford Professor of Complex Systems Science at the Smith School of Enterprise and the Environment and Director of the Complexity Economics programme at the Institute for New Economic Thinking University of Oxford. He is also External Professor at the Santa Fe Institute and Chief Scientist at Macrocosm. His current research is in economics, including agent-based modelling, financial instability and technological progress. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology. His book, Making Sense of Chaos: A Better Economics for a Better World, was published in 2024. During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s he built the first wearable digital computer, which was successfully used to predict the game of roulette.
******Support the channel****** Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao ******Follow me on****** Website: https://www.thedissenter.net/ The Dissenter Goodreads list: https://shorturl.at/7BMoB Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://x.com/TheDissenterYT This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/ Dr. J. Doyne Farmer is the Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor in the Mathematical Institute at the University of Oxford and an External Professor at the Santa Fe Institute. His current research is in economics, including agent-based modeling, financial instability and technological progress. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology. He was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. He is the author of Making Sense of Chaos: A Better Economics for a Better World. In this episode, we focus on Making Sense of Chaos. We talk about the economy as a complex system, business cycles, simulating the economy, and the housing bubble crises of the 2000s. We discuss the differences between standard economics and complexity economics. We talk about how we can understand inequality, market inefficiencies and crashes, and whether we can prevent financial crises. Finally, we discuss climate economics, how we can solve climate change, and whether we can tackle inequality. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, BERNARDO SEIXAS, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, FILIP FORS CONNOLLY, DAN DEMETRIOU, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, DIEGO LONDOÑO CORREA, YANICK PUNTER, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, EDWARD HALL, HEDIN BRØNNER, DOUGLAS FRY, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ALEX CHAU, AMAURI MARTÍNEZ, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, IGOR N, JEFF MCMAHAN, JAKE ZUEHL, BARNABAS RADICS, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, JESSICA NOWICKI, LINDA BRANDIN, NIKLAS CARLSSON, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, ALEXANDER HUBBARD, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, ERIK ENGMAN, LUCY, MANVIR SINGH, PETRA WEIMANN, CAROLA FEEST, STARRY, MAURO JÚNIOR, 航 豊川, TONY BARRETT, BENJAMIN GELBART, NIKOLAI VISHNEVSKY, AND STEVEN GANGESTAD! A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, AL NICK ORTIZ, NICK GOLDEN, AND CHRISTINE GLASS! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas
A large economy is one of the best examples we have of complex dynamics. There are multiple components arranged in complicated overlapping hierarchies, out-of-equilibrium dynamics, nonlinear coupling and feedback between different levels, and ubiquitous unpredictable and chaotic behavior. Nevertheless, many economic models are based on relatively simple equilibrium principles. Doyne Farmer is among a group who think that economists need to start taking the tools of complexity theory seriously, as he argues in his recent book Making Sense of Chaos: A Better Economics for a Better World.Support Mindscape on Patreon.Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/10/21/293-doyne-farmer-on-chaos-crashes-and-economic-complexity/J. Doyne Farmer received his Ph.D. in physics from the University of California, Santa Cruz. He is currently Director of the Complexity Economics program and Baillie Gifford Professor of Complex Systems Science at the University of Oxford, External Professor at the Santa Fe Institute, and Chief Scientist at Macrocosm. He was the founder of the Complex Systems Group in the Theoretical Division at Los Alamos National Laboratory, and co-founder of The Prediction Company.Web siteOxford web pageGoogle Scholar publicationsAmazon author pageWikipediaSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
******Support the channel****** Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao ******Follow me on****** Website: https://www.thedissenter.net/ The Dissenter Goodreads list: https://shorturl.at/7BMoB Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://twitter.com/TheDissenterYT This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/ Dr. Paul Smaldino is an Associate Professor of Cognitive & Information Sciences and faculty in the Quantitative and Systems Biology graduate program at the University of California Merced, where he is also affiliated with the Center for Analytic Political Engagement and the Center for Interdisciplinary Neuroscience. Extramurally, he is an External Professor at the Santa Fe Institute. He studies how behaviors emerge and evolve in response to social, cultural, and ecological pressures, as well as how those pressures can themselves evolve. He is the author of Modeling Social Behavior: Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution. In this episode, we focus on Modeling Social Behavior. We talk about modeling in science, the theoretical foundations of social science, mathematical models and agent-based models, and fine-grained and coarse-grained models. We discuss assumptions about human psychology, and we then explore examples of social dynamics that can be modeled, like contagion and the spread of innovation; opinion dynamics, and consensus and polarization; cooperation; norms; and science as a social phenomenon. Finally, we discuss how to turn ideas into models, and the limitations of models. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, BERNARDO SEIXAS, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, FILIP FORS CONNOLLY, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, DIEGO LONDOÑO CORREA, YANICK PUNTER, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, EDWARD HALL, HEDIN BRØNNER, DOUGLAS FRY, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ALEX CHAU, AMAURI MARTÍNEZ, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, IGOR N, JEFF MCMAHAN, JAKE ZUEHL, BARNABAS RADICS, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, JESSICA NOWICKI, LINDA BRANDIN, NIKLAS CARLSSON, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, ALEXANDER HUBBARD, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, ERIK ENGMAN, LUCY, MANVIR SINGH, PETRA WEIMANN, CAROLA FEEST, STARRY, MAURO JÚNIOR, 航 豊川, TONY BARRETT, BENJAMIN GELBART, NIKOLAI VISHNEVSKY, AND STEVEN GANGESTAD! A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, AL NICK ORTIZ, NICK GOLDEN, AND CHRISTINE GLASS! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!
Today we're joined by Dani S. Bassett, J. Peter Skirkanich Professor at the University of Pennsylvania and External Professor at the Santa Fe Institute, and Perry Zurn, Visiting Associate Professor of Feminist, Gender, and Sexuality Studies at Cornell University and Provost Associate Professor of Philosophy at American University. In today's episode, Dani and Perry explore the concept of curiosity. Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
My guest today is Allison Stanger. Allison is a Middlebury Distinguished Endowed Professor; an Affiliate at the Berkman Klein Center for Internet and Society, Harvard University; the Co-Director (with Danielle Allen) of the GETTING-Plurality Research Network, Harvard University; founding member of the Digital Humanism Initiative (Vienna); and an External Professor at the Santa Fe Institute. Allison's next book, Who Elected Big Tech? is under contract with Yale University Press. In this conversation, Allison and I delve into the political science surrounding large tech companies. We explore their effects on consumers and democracy, the interplay between capitalism and democracy, the dangers of fragmented regulation, what the effective governance of social media entails, how to scale and measure it, potential areas of cooperation with China, and the relevance of public choice theory, complexity science, and power laws in shaping our understanding of technology. I hope you enjoy our discussion. *** References Stanger, Allison. "The Real Cost of Surveillance Capitalism: Digital Humanism in the United States and Europe." Perspectives on Digital Humanism (2022): 33-40. https://library.oapen.org/bitstream/handle/20.500.12657/51945/978-3-030-86144-5.pdf Werthner, Hannes, et al. "Digital humanism: The time is now." Computer 56.1 (2023): 138-142. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10008968 Soros, George. "Fallibility, reflexivity, and the human uncertainty principle." Journal of Economic Methodology 20.4 (2013): 309-329. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10008968
J. Doyne Farmer is Director of the Complexity Economics Programme and Professor of Complex Systems Science at the University of Oxford. He is also External Professor at the Santa Fe Institute and Chief Scientist at Macrocosm. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His book, Making Sense of Chaos: A Better Economics for a Better World, was published in 2024. During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s, he built the first wearable digital computer, which was successfully used to predict the game of roulette. This podcast covers what chaos theory is, what complexity science is, how economists model the economy, and much more. Follow us here for more amazing insights: https://macrohive.com/home-prime/ https://twitter.com/Macro_Hive https://www.linkedin.com/company/macro-hive
In the 1970's, J. Doyne Farmer built the first wearable computer which he used to predict the game of roulette. While this didn't make him particularly popular in casinos, it did mark the beginning of a glittering scientific career in complexity and systems theory, as well as in theoretical physics and biology. And, along the way, Farmer founded a quantitative automated trading firm that was sold to UBS in 2006 as well as working for a while as an Oppenheimer Fellow at Los Alamos Labs. So when a guy as smart as Farmer - who now teaches both at Oxford and at the Santa Fe Institute — turns his big brain to economics, we should take note. In his new book, Making Sense of Chaos, Farmer explains how we can get to a “better economics for a better world” through what he calls complex economics. As a fusion of big data analysis and behavioral economics, Farmer is navigating a third economic way between the scylla of traditional free market economics and the charybdis of de-growth economics. Seriously smart stuff from one the world's brainiest men. J. Doyne Farmer is Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor of Complex Systems Science at the Smith School for Enterprise and the Environment, University of Oxford, External Professor at the Santa Fe Institute, and Chief Scientist at Macrocosm. His current research is in economics, including agent-based modeling, financial instability and technological progress. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology. During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s he built the first wearable digital computer, which was successfully used to predict the game of roulette.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.Keen On is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe
We're joined again by Rajiv Sethi, Professor of Economics at Barnard College at Columbia University and External Professor at the Santa Fe Institute to explore the intersection between stereotyping, crime, and the justice system to understand criminal behaviour beyond simplistic explanations. Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
J. Doyne Farmer is the Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, a Professor at the Mathematical Institute of Oxford University, and an External Professor at the Santa Fe Institute. In this episode, we explore Doyne's latest book, “Making Sense of Chaos.” We focus on the relationship between chaos and scaling theory, and more specifically, how chaos can be factored into scaling theory. By the end of this conversation, you will learn why it might be easier to predict the long distant future than predicting tomorrow, how Moore's Law conflicts with other scaling laws that underpin technological progress, how agent-based modeling can help all scientists and policymakers, how to dominate the world with your theories (...), and even how to trick casinos. I hope you enjoy the conversation. Find me on X at @ProfSchrepel. Also, be sure to subscribe to the Scaling Theory podcast; it helps its growth. ***
Jim talks with Simon DeDeo about their wager concerning the likelihood of civil violence and mass killings in America in the next decade. They discuss the terms of the wager, the appropriate orders of magnitude, Alex Garland's Civil War, the American readiness to use violence, honor cultures, the movement from violence to political violence, industrial mass murder, polarization, the one-dimensionality of current elites, basins of attraction, statistical distributions of violence, Rene Girard's theory of mimetic desire, measuring political distance, the constant motion of contemporary American political views, tribalization around red-blue politics, door-holding & just-so stories, sexual signaling, the unreality of woke debates, accumulating factors that could lead to a brushfire, gun rights, the dilettantism of extremist groups, 3 specific scenarios of inciting conflicts, making sense of a post-ideological world, the question of who rules, and much more. Episode Transcript JRS EP 1 - Simon DeDeo on the Evolution of Consciousness JRS Currents 001: Simon DeDeo on University Censorship JRS Currents 028: Simon DeDeo on Explaining Explanation JRS EP 202 - Neil Howe on the Fourth Turning JRS EP 190 - Peter Turchin on Cliodynamics and End Times JRS EP 104 - Joe Henrich on WEIRD People JRS EP 230 - James Lindsay on a National Divorce JRS Currents 058: John Robb on Russia-Ukraine Outcomes Simon DeDeo is an Assistant Professor at Carnegie Mellon University in the Department of Social and Decision Sciences, and External Professor at the Santa Fe Institute. He is also affiliated with the Cognitive Science program at Indiana University, where he runs the Laboratory for Social Minds. For three years, from 2010 to 2013, he was an Omidyar Fellow at the Santa Fe Institute. He and his collaborators study how people use words and signals, and the ideas they represent, to create a world. They have studied a diverse set of systems that includes the French Revolution, the courtrooms of Victorian London, the research strategies of Charles Darwin, the insurgency of modern-day Afghanistan, the emergent bureaucracy of Wikipedia, the creation of power hierarchies among the social animals, and the collusions and conspiracies of petrol stations in the American Midwest. They combine data from the contemporary world, archives from the deep past, statistical tools from cosmology, and models of human cognition from Bayesian reasoning and information theory to understand how cultures grow, flourish, innovate, and evolve.
J. Doyne Farmer is Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor in the Mathematical Institute at the University of Oxford and an External Professor at the Santa Fe Institute.In this episode, Doyne discusses his journey from chaos theory to complexity economics. He shares his experience developing agent-based models for the economy and talks about the importance of multidisciplinary work and applying complexity science principles to economics and climate change. Resources: Purchase ‘Making Sense of Chaos: A Better Economics for a Better World' here Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
We look at this thoughtful attempt to dig into the complexity of real world situations and the attempts to make better models to understand what is happening around us and why. See more about the author Doyne Farmer here. Making Sense of Chaos: A Better Economics for a Better World, reviewed This is a challenging topic to do well. Models are always limited by their inherent nature, how many factors do you incorporate? How much data do you need, over how long a time period? How do you factor in the slightly to very unpredictable behaviour of humans themselves, and their inclination towards capricious behaviour sometimes? The author does a good job of explaining these challenges, while offering some small hope with positive and interesting examples. The ability to predict the weather is one example that the author refers to. Citing the observation, that, with each decade that passes, humanity seems able to predict one more day further into the future. For sure we can't yet say what the weather will be one month from now, but one to three day forecasts are pretty reliable, and even four to six days out, we are now able to have a pretty good idea of what is coming down the line. Of course human's impact on global warming, and more unstable weather systems does then counter impact on these improvements. Farmer also discusses the solar industry with interesting, and potentially hopeful and positive predications about the continued fall in the price of solar generated energy units, relative to those generated from fossil fuels. We found this book to be well written, self critical, and aiming to tackle something which, by it's vary nature is extremely difficult to do really well. If you are looking to get up to speed in any of the topics tackled then we would recommend it. More about the book In Making Sense of Chaos one of our most influential scientists, J Doyne Famer, tackles these questions and more. Introducing the new field of complexity economics, he describes how rebellious economists and other scientists are revolutionising our ability to predict the economy, developing new approaches to global problems - like climate change, inequality, and the devastating impact of financial crises, which hit the poorest hardest. These issues are all rooted in the economy, yet mainstream economics isn't helping to solve our most pressing problems. Farmer explains why it can't do the job, and suggests a better alternative, called complexity economics. Complex systems are characterized by emergent phenomena - creating a whole that is qualitatively different from the sum of its parts. Examples are the human brain, the weather system, and of course, the economy. The ideas behind complexity economics have been around for many years, but enabled by enormous improvements in computing power and big data, its time has come. We can now build real-world computer simulations of the economy that track its emergent behaviour in detail. For instance, it is possible to simulate how the occupational labour force changes through time, how economic policies affect rich or poor households, or how the economy will evolve during the energy transition. This new science, Farmer shows, will allow us to test ideas and make better economic predictions, enabling us to better tackle global problems like inequality and climate change, creating sustainable growth, and more. And, ultimately, create a better world. More about the author Doyne Farmer is an American complex systems scientist and entrepreneur who pioneered many of the fields that define the scientific agenda of our times: chaos, complex systems, artificial life, wearable computing, and more. Currently he is Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor of Complex Systems Science at the University of Oxford, Chief Scientist at Macrocosm, and an External Professor at the Santa Fe Institute. Previously, he was a...
Guests: David Krakauer, President and William H. Miller Professor of Complex Systems at the Santa Fe InstituteSean Carroll, External Professor and Fractal Faculty at the Santa Fe Institute, Homewood Professor of Natural Philosophy at Johns Hopkins UniversityHosts: Abha Eli Phoboo & Chris KempesProducer: Katherine MoncurePodcast theme music by: Mitch MignanoAdditional sound credits: Digifishmusic, Trundlefly, Greenvwbeetle, Miksmusic, BrewlabboffinFollow us on:Twitter • YouTube • Facebook • Instagram • LinkedIn • BlueskyMore info:SFI programs: EducationComplexity Explorer: Origins of Life: The Multiple Origins of Life - Part 1 | David KrakauerOrigins of Life: The Multiple Origins of Life - Part 2 | David KrakauerOrigins of Life: The Multiple Origins of Life - Part 3 | David KrakauerOrigins of Life: The Multiple Origins of Life - Part 4 | David KrakauerComplexity Explorer Lecture: David Krakauer • What is Complexity?Books: Disputed Inheritance: The Battle over Mendel and the Future of Biology by Gregory RadickQuanta and Fields: The Biggest Ideas in the Universe by Sean CarrollWorlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984-2019 Edited by David KrakauerTalks: The Many Worlds of Quantum Mechanics Sean CarrollPapers & Articles:“The Multiple Paths to Multiple Life,” in Journal of Molecular Evolution (July 12, 2021), doi.org/10.1007/s00239-021-10016-2
Guests: Melanie Moses, External Professor at the Santa Fe Institute, Professor of Computer Science and Associate Professor of Biology at University of New MexicoHyejin Youn, External Professor at the Santa Fe Institute, Associate Professor at Institute of Northwestern UniversityHosts: Abha Eli Phoboo & Chris KempesProducer: Katherine MoncurePodcast theme music by: Mitch MignanoFollow us on:Twitter • YouTube • Facebook • Instagram • LinkedIn • BlueskyMore info:SFI programs: EducationComplexity Explorer: Fractals and Scaling Fractals and Scaling: Toward a Theory of Urban ScalingIntroduction to Complexity: Ant Foraging and Task AllocationBooks: Scale by Geoffrey WestComplexity: a Guided Tour by Melanie MitchellTalks: Toward a Scientific Theory of Cities by Hyejin YounPapers & Articles:“Synergy in ant foraging strategies: memory and communication alone and in combination,” in GECCO'13: Proceedings of the 15th annual conference on Genetic and evolutionary computation (July 6, 2013), doi.org/10.1145/2463372.2463389“In vivo, in silico, in machina: Ants and Robots balance memory and communication to collectively exploit information,” in Proceedings of the European Conference on Complex Systems 2012“What makes individual I's a Collective We; coordination mechanisms & costs” in arXiv (November 20, 2023), doi.org/10.48550/arXiv.2306.02113“How does innovation push its boundaries?” in 43 Visions for Complexity, Exploring Complexity: Volume 3 (January 2017), doi.org/10.1142/9789813206854_0043
Guests: Brian Enquist, External Professor at the Santa Fe Institute, Professor of Ecology and Evolutionary Biology at University of ArizonaPablo Marquet, External Professor at the Santa Fe Institute, Professor at Institute of Ecology and Biodiversity, Pontificia Universidad Católica de ChileHosts: Abha Eli Phoboo & Chris KempesProducer: Katherine MoncurePodcast theme music by: Mitch MignanoOther music: Craig Smith, Justkiddink, MaestroALF, ComputerHotline, James Ro Davidson, SoundEnsemble, Trundlefly, Geoff Bremner, Newagesgroup, Oddmonoliths, TheplaFollow us on:Twitter • YouTube • Facebook • Instagram • LinkedIn • BlueskyMore info:SFI programs: EducationComplexity Explorer: Origins of Life: Astrobiology & General Theories for Life - Scaling with Pablo MarquetBooks: Scale by Geoffrey WestScaling Biodiversity (Ecological Reviews) edited by David Storch, Pablo Marquet , James Brown How Landscapes Change: Human Disturbance and Ecosystem Fragmentation in the Americas (Ecological Studies Book 162) edited by Gay A. Bradshaw and Pablo A. Marquet Talks: Better Forecasting our Ecological Future: Taming Big Data with Big Theory, Brian EnquistPapers & Articles:“More than 17,000 tree species are at risk from rapid global change,” in Nature Communications (January 2, 2024), doi.org/10.1038/s41467-023-44321-9“Metastatic cells exploit their stoichiometric niche in the network of cancer ecosystems,” in Science Advances (December 13, 2023), doi: 10.1126/sciadv.adi79“Environmental heterogeneity as a driver of terrestrial biodiversity on a global scale” in PPG: Earth and Environment (August 11, 2023), doi.org/10.1177/03091333231189045“The number of tree species on Earth,” PNAS (Jan 31, 2022), doi.org/10.1073/pnas.2115329119“Globally important plant functional traits for coping with climate change,” in Frontiers of Biogeography (October 2, 2021), doi.org/10.21425/F5FBG53774“Scaling from Traits to Ecosystems: Developing a General Trait Driver Theory via Integrating Trait-Based and Metabolic Scaling Theories,” Advances in Ecological Research (May 4, 2015), doi.org/10.1016/bs.aecr.2015.02.001“A general quantitative theory of forest structure and dynamics,” PNAS (April 28, 2009), doi.org/10.1073/pnas.0812294106
Guests: Ricard Solé, External Professor at the Santa Fe Institute, Head of the Complex Systems Lab at Universitat Pompeu FabraSara Walker, External Professor at the Santa Fe Institute, Associate Director of the ASU-SFI Center for Biosocial Complex SystemsHosts: Abha Eli Phoboo & Chris KempesProducer: Katherine MoncurePodcast theme music by: Mitch MignanoOther music: Matucha, Kijjaz, Klankbeeld, Aesterial-Arts, Dijifishmusic, Greenvwbeetle, Odilon Marcenaro, Jobro, Benboncan, Bone666138, Aiwha, Josh Berry, Rubenvvuuren, and MiksmusicFollow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • BlueskySFI programs: Complexity Explorer: Origins of LifeEducationBooks & Films: Frankenstein, directed by James Whale, based on book by Mary ShelleyThe Computer and the Brain, by John von NeumannSigns of life: How complexity pervades biology by Ricard V. Solé and Brian C. GoodwinTalks: Liquid and Solid Brains: Mapping the Cognition Space by Ricard SoléEvolving Brains: Solid, Liquid and Synthetic by Ricard SoléA Universal Theory of Life: Math, Art & Information by Sara WalkerPapers & Articles:“Assembly theory explains and quantifies selection and evolution” in Nature (October 4, 2023) doi.org/10.1038/s41586-023-06600-9“Time is an object” in Aeon, May 19, 2023“The Algorithmic Origins of Life” in Journal of the Royal Society Interface (February 6, 2013) doi.org/10.1098/rsif.2012.0869“Evolution of Brains and Computers: The Roads Not Taken” in Entropy (May 9, 2022), doi.org/10.3390/e24050665“Unicellular–multicellular evolutionary branching driven by resource limitations” (June 2, 2022) doi.org/10.1098/rsif.2022.0018
In this episode, Xavier Bonilla has a dialogue with Paul Smaldino about agent-based models of social dynamics. They discuss why modeling in social sciences are important, quantitative and qualitative data, models and how we define them, and decomposition with complexity science. They also discuss modeling with multivariate questions, importance of theory, modeling with COVID19, modeling in politics, and many more topics. Paul Smaldino is an Associate Professor of Cognitive & Information Sciences and faculty in the Quantitative and Systems Biology graduate program at UC Merced, where he is also affiliated with the Center for Analytic Political Engagement and the Center for Interdisciplinary Neuroscience. He is also an External Professor at the Santa Fe Institute. His primary interests are how behaviors emerge and evolve in response to social, cultural, and ecological pressures, as well as how those pressures can themselves evolve. He also has broad interests related to cultural evolution, cooperation, and complex systems. He is the author of the book, Modeling Social Behavior: Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution.Website: https://smaldino.com/wp/Twitter: @psmaldino Get full access to Converging Dialogues at convergingdialogues.substack.com/subscribe
Guests: Vijay Balasubramanian, External Professor at the Santa Fe Institute, Cathy and Marc Lasry Professor of Physics at the University of PennsylvaniaGeoffrey West, Shannan Distinguished Professor and Past President, Santa Fe InstituteHosts: Abha Eli Phoboo & Chris KempesProducer: Katherine MoncurePodcast theme music: Mitch MignanoOther Music: Blue Dot Sessions, Pink House Music, Eardeer, and Craig Smith.Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • BlueskySFI programs: Complexity Global School Complexity Explorer: Fractals & ScalingEducationBooks & Stories: Tell Me Why by Arkady LeokumScale by Geoffrey West“Funes, the Memorious” by Jorge Luis BorgesTalks: How the Brain Makes You: Collective Intelligence and Computation by Neural Circuits by Vijay BalasubramanianThe Future of the Planet: Life, Growth and Death in Organisms, Cities and Companies by Geoffrey WestEnergy, Scaling & The Future of Life on Earth by Geoffrey WestComplex Time Working Group: “What is Sleep?” with Geoffrey West, Van Savage, Alex HermanPapers: “Brain Power” in PNAS (August 2, 2021) doi.org/10.1073/pnas.210702211“The Physical Effects of Learning” preprint published in biorxiv“Unraveling why we sleep: Quantitative analysis reveals abrupt transition from neural reorganization to repair in early development” in Science Advances (September 18, 2020) DOI: 10.1126/sciadv.aba0398“The Scales That Limit: The Physical Boundaries of Evolution” in Frontiers in Ecology and Evolution (August 7, 2019) doi.org/10.3389/fevo.2019.00242
Experts often build models to help predict how systems will behave. But what happens if, instead of asking the experts to build models, we ask laypeople to simply predict outcomes? This is what happens in 'prediction markets'. And it turns out that in some situations, the 'wisdom of the crowd' often outperforms experts' models. To break down what prediction markets are and how they work, we're joined by Rajiv Sethi, Professor of Economics at Barnard College at Columbia University and External Professor at the Santa Fe Institute. Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas
Octopuses, artificial intelligence, and advanced alien civilizations: for many reasons, it's interesting to contemplate ways of thinking other than whatever it is we humans do. How should we think about the space of all possible cognitions? One aspect is simply the physics of the underlying substrate, the physical stuff that is actually doing the thinking. We are used to brains being solid -- squishy, perhaps, but consisting of units in an essentially fixed array. What about liquid brains, where the units can move around? Would an ant colony count? We talk with complexity theorist Ricard Solé about complexity, criticality, and cognition.Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/01/01/260-ricard-sole-on-the-space-of-cognitions/Support Mindscape on Patreon.Ricard Solé received his Ph.D. in physics from the Polytechnic University of Catalonia. He is currently ICREA research professor at the Catalan Institute for research and Advanced Studies, currently working at the Universitat Pompeu Fabra, where he is head of the Complex Systems Lab. He is also an External Professor of the Santa Fe Institute, Fellow of the European centre for Living Technology, external faculty at the Center for Evolution and Cancer at UCSF, and a member of the Vienna Complex Systems Hub. He is the author of several technical books.Web siteGoogle Scholar publicationsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Economic policies are often gamed by individuals for personal benefit. In this episode, we explore how this gaming takes place and what economics can do about it. To do that, we're joined again by W. Brian Arthur, External Professor at the Santa Fe Institute, and Researcher at the Palo Alto Research Center, formerly Xerox PARC. Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
Guest: John Kaag is the Donohue Professor of Ethics and the Arts at UMass Lowell and External Professor at the Santa Fe Institute. His books include Hiking with Nietzsche: On Becoming Who You Are and Sick Souls, Healthy Minds: How William James Can Save Your Life (Princeton), and his latest, Henry at work: Thoreau on Making a Living, co-authored with Jonathan van Belle. The post Capitalism & Alienation: The Economics of Henry David Thoreau appeared first on KPFA.
Imagine you have a bar that comfortably seats 60 people, but every week, 100 people have to decide whether or not they're going to go to the bar on any given night. If too many people go, then the bar is too crowded, and everyone has a miserable night. But if not enough people go, then that's a missed opportunity to go out. This is the basis of the El Farol problem, which asks us to consider how people make this decision. It's a beautifully simple problem that not only makes you think but also has profound implications. To help us through this problem, we're joined again by its inventor, W. Brian Arthur, External Professor at the Santa Fe Institute and Researcher at Palo Alto Research Center. Brian's going to help us understand how this problem is more than just the story of a bar, but a problem that gives us an incredible insight into how the economy works. Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
Jim talks with Melanie Mitchell about her critique of applying standardized exams to LLMs and the debate over understanding in AI. They discuss ChatGPT and GPT-4's performance on standardized exams, questioning the underlying assumptions, OpenAI's lack of transparency, soon-to-be-released open-source LLMs, prompt engineering, making GPT its own skyhook to reduce hallucinations, the number of parameters in GPT-4, why LLMs should be probed differently than humans, how LLMs lie differently than humans, Stanford's holistic assessment for LLMs, a College Board for LLMs, why the term "understanding" is overstressed today, consciousness vs intelligence, the human drive for compression, working memory limitations as the secret to human intellectual abilities, episodic memory, embodied emotions, the idea that AIs don't care, calling for a new science of intelligence, the effects of differing evolutionary pressures, whether a model of physics could emerge from language learning, how little we understand these systems, and much more. Episode Transcript JRS Currents 036: Melanie Mitchell on Why AI is Hard Complexity: A Guided Tour, by Melanie Mitchell Artificial Intelligence: A Guide for Thinking Humans, by Melanie Mitchell AI: A Guide for Thinking Humans (Substack) "Did ChatGPT Really Pass Graduate-Level Exams?" (Part 1), by Melanie Mitchell Currents 087: Shivanshu Purohit on Open-Source Generative AI Holistic Evaluation of Language Models (HELM) - Stanford "The Debate Over Understanding in AI's Large Language Models," by Melanie Mitchell and David Krakauer Melanie Mitchell is Professor of Computer Science at Portland State University, and External Professor and Co-Chair of the Science Board at the Santa Fe Institute. Mitchell has also held faculty or professional positions at the University of Michigan, Los Alamos National Laboratory, and the OGI School of Science and Engineering. She is the author or editor of seven books and numerous scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems, including her latest, Artificial Intelligence: A Guide for Thinking Humans.
For today's episode we welcome jazz organist Tony Monaco to the show. Tony is a master of the Hammond B3 and has collaborated with many other great jazz musicians, including fellow jazz organist Joey DeFrancesco, drummer Steve Smith, as well as guitarists Pat Martino and George Benson, among many others. Downbeat Magazine named Tony in the top 5 jazz organists internationally for the years 2005-2011 and his albums have been both commercially successful and critically acclaimed, with several climbing to the upper levels of Jazzweek's annual top 100 listings. Our conversation covers much ground related to error, ego, humility and music, but also Tony's struggles with alcoholism over the course of his career. And be sure to listen all the way to the end for a great live rendition of Tony's composition I'll Remember Jimmy. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. 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
For today's episode we welcome jazz organist Tony Monaco to the show. Tony is a master of the Hammond B3 and has collaborated with many other great jazz musicians, including fellow jazz organist Joey DeFrancesco, drummer Steve Smith, as well as guitarists Pat Martino and George Benson, among many others. Downbeat Magazine named Tony in the top 5 jazz organists internationally for the years 2005-2011 and his albums have been both commercially successful and critically acclaimed, with several climbing to the upper levels of Jazzweek's annual top 100 listings. Our conversation covers much ground related to error, ego, humility and music, but also Tony's struggles with alcoholism over the course of his career. And be sure to listen all the way to the end for a great live rendition of Tony's composition I'll Remember Jimmy. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/performing-arts
This episode of How To Be Wrong is about humility, beauty and the ways in which our society dictates the nature and boundaries of what is deemed beautiful. We talk with philosophy professor and Pulitzer Prize finalist Chloé Cooper Jones about desirability and the ways in which difference is constrained through our social interactions, as well as her own experience as a disabled person. We also discuss some of the ideas in her superb book, Easy Beauty: A Memoir, published by Simon & Schuster in 2022. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. 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
This episode of How To Be Wrong is about humility, beauty and the ways in which our society dictates the nature and boundaries of what is deemed beautiful. We talk with philosophy professor and Pulitzer Prize finalist Chloé Cooper Jones about desirability and the ways in which difference is constrained through our social interactions, as well as her own experience as a disabled person. We also discuss some of the ideas in her superb book, Easy Beauty: A Memoir, published by Simon & Schuster in 2022. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/gender-studies
This episode of How To Be Wrong is about humility, beauty and the ways in which our society dictates the nature and boundaries of what is deemed beautiful. We talk with philosophy professor and Pulitzer Prize finalist Chloé Cooper Jones about desirability and the ways in which difference is constrained through our social interactions, as well as her own experience as a disabled person. We also discuss some of the ideas in her superb book, Easy Beauty: A Memoir, published by Simon & Schuster in 2022. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/biography
In this episode we talk with New York Times Opinion Section Editor Peter Catapano, who has edited and published more than 1,000 pieces in The Times and worked with thinkers and writers such as Arthur Danto and E.O. Wilson. Our conversation explores the relationship between writer and editor and the important work Catapano did editing Oliver Sacks' chronicling his illness and death. Catapano's The Stone, established in 2010, is the longest-running online series in Opinion, and draws millions of readers each year. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. 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
In this episode we talk with New York Times Opinion Section Editor Peter Catapano, who has edited and published more than 1,000 pieces in The Times and worked with thinkers and writers such as Arthur Danto and E.O. Wilson. Our conversation explores the relationship between writer and editor and the important work Catapano did editing Oliver Sacks' chronicling his illness and death. Catapano's The Stone, established in 2010, is the longest-running online series in Opinion, and draws millions of readers each year. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/literary-studies
In our last episode, we heard from W. Brian Arthur, who shared his journey in economics as he studied increasing returns. Now, Brian's going to take us to 1987, to a small meeting in the Rockies in Santa Fe. At this time, he was struggling to gain recognition for his work within the economics community, but it was when Brian went to what would become the Santa Fe Institute that things really kicked off. In this episode, you're going to hear again from W. Brain Arthur, External Professor at the Santa Fe Institute, and Researcher at Palo Alto Research Center, as he remembers the early days of the Santa Fe Institute. From the early meetings of economists, physicists, and a biologist that started it all, to an early model Brian built of a stock market that was unique to any models before it — because this model included booms and busts. Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
This episode is a roundtable discussion on the influence of the neoliberal project on higher education. Our guests are Professor Emeritus Frank Fear from Michigan State University, Professor Claire Polster from the University of Regina, and Professor Ruben Martinez from Michigan State University. The conversation is wide-ranging across topics such as the quantification of higher education and the concept of students as customers. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. 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
This episode is a roundtable discussion on the influence of the neoliberal project on higher education. Our guests are Professor Emeritus Frank Fear from Michigan State University, Professor Claire Polster from the University of Regina, and Professor Ruben Martinez from Michigan State University. The conversation is wide-ranging across topics such as the quantification of higher education and the concept of students as customers. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/critical-theory
Mitchell Waldrop's 'Complexity' brought complexity science into the limelight with an account of the early days of the Santa Fe Institute. One of the people who appear in this book is W. Brian Arthur, the engineer turned economist who found economics unsatisfactory — because it treated the economy purely as a system in equilibrium when he knew it very obviously wasn't. In this episode, you'll hear from W. Brian Arthur, External Professor at the Santa Fe Institute, and Researcher at Palo Alto Research Center, as he explains his journey to understanding the economy as a non-equilibrium system, and his work on increasing returns. But what are increasing returns? Well in complexity terms, it's how positive feedback affects the economy. Connect: Simplifying Complexity on Twitter Sean Brady on Twitter Sean Brady on LinkedIn Brady Heywood website This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
Doyne Farmer is Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor in the Mathematical Institute at the University of Oxford, and an External Professor at the Santa Fe Institute. His current research is in economics, including agent-based modeling, financial instability and technological progress. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology.
In this episode of How To Be Wrong we talk with author, educator, and environmentalist Bill McKibben, founder of Third Act, an organization focused on bringing together people over 60 for action on climate and justice, and also 350.org, a global grassroots climate campaign. Bill's work regularly appears in periodicals such as Rolling Stone and The New Yorker, and he has written numerous books, the most recent being The Flag, The Cross, and the Station Wagon: A Graying American Looks Back at His Suburban Boyhood and Wonders What the Hell Happened, published by Holt in 2022. Our conversation explores what went wrong in the 1970s in the US, ideas about intellectual humility, and the role people over 60 can play in addressing problems in our society. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. 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
In this episode of How To Be Wrong we talk with author, educator, and environmentalist Bill McKibben, founder of Third Act, an organization focused on bringing together people over 60 for action on climate and justice, and also 350.org, a global grassroots climate campaign. Bill's work regularly appears in periodicals such as Rolling Stone and The New Yorker, and he has written numerous books, the most recent being The Flag, The Cross, and the Station Wagon: A Graying American Looks Back at His Suburban Boyhood and Wonders What the Hell Happened, published by Holt in 2022. Our conversation explores what went wrong in the 1970s in the US, ideas about intellectual humility, and the role people over 60 can play in addressing problems in our society. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/history
Today's episode focuses on the new book by Lydia Moland, who is a Professor of Philosophy at Colby College. Her book, Lydia Maria Child: A Radical American Life (U Chicago Press, 2022) offers a powerful window into questions of humility and its relationship to racism and other forms of discrimination in American history. We talk about Child's ideas, particularly as they relate to many of the issue facing contemporary American society. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/african-american-studies
Today's episode focuses on the new book by Lydia Moland, who is a Professor of Philosophy at Colby College. Her book, Lydia Maria Child: A Radical American Life (U Chicago Press, 2022) offers a powerful window into questions of humility and its relationship to racism and other forms of discrimination in American history. We talk about Child's ideas, particularly as they relate to many of the issue facing contemporary American society. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. 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
Today's episode focuses on the new book by Lydia Moland, who is a Professor of Philosophy at Colby College. Her book, Lydia Maria Child: A Radical American Life (U Chicago Press, 2022) offers a powerful window into questions of humility and its relationship to racism and other forms of discrimination in American history. We talk about Child's ideas, particularly as they relate to many of the issue facing contemporary American society. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/history
Physics offers deep insights into the workings of the universe that many find mysterious, complex and confusing. Theoretical physicist and "Mindscape" podcast host Sean Carroll breaks down some of the most mind-boggling concepts in his newest book The Biggest Ideas in the Universe: Space, Time, and Motion. Join us for an online discussion to learn more about the wonders of modern physics and the multidimensional landscape it covers—from black holes to quantum mechanics and more. NOTES In association with Wonderfest. SPEAKERS Sean Carroll Homewood Professor of Natural Philosophy, John Hopkins University; Fractal Faculty and External Professor, Santa Fe Institute; Host, "Mindscape" Podcast; Author, The Biggest Ideas in the Universe: Space, Time, and Motion; Twitter @seanmcarroll In response to the COVID-19 pandemic, we are currently hosting all of our live programming via YouTube live stream. This program was recorded via video conference on September 20th, 2022 by the Commonwealth Club of California. Learn more about your ad choices. Visit megaphone.fm/adchoices
Today's episode of How To Be Wrong welcomes back cohost John Kaag after a brief hiatus from the podcast and explores questions of assholery and humility with University of California Irvine philosopher Aaron James. Dr. James has written several fascinating books including Surfing with Sartre: An Aquatic Inquiry Into a Life of Meaning, Assholes: A Theory, and his most recent Money From Nothing: Or, Why We Should Stop Worrying About Debt and Learn to Love the Federal Reserve published by Penguin Random House in 2020. The conversation moves through Dr. James' experiences as an academic, some of his work in Sumatra, and the ways in which surfing can generate humility. John Kaag is Professor and Chair of Philosophy at UMass Lowell and External Professor at the Santa Fe Institute. John W. Traphagan, Ph.D. is Professor and Mitsubishi Heavy Industries Fellow in the Department of Religious Studies at the University of Texas at Austin, where he is also a professor in the Program in Human Dimensions of Organizations. 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
Ask any martial artist: It's not just where a person strikes you but your stance that matters. The amplitude and angle of a blow is one thing but how you can absorb and/or deflect it makes the difference. The same is true in any evolutionary system. Most people seem to know “the butterfly effect” where tiny changes lead to large results, but the inverse also works: complex organisms buffer their development against adverse mutations so that tiny changes cannot redirect the growth of limbs and other organs. It takes a lot to shake the pattern of five fingers on a hand, or five toes on a paw. This is robustness: how much change can something soak up before it transforms? The question leads us into a secret garden of cryptic variation: mutations waiting for their moment, pieces sitting in place that might suddenly and radically metamorphose in changing circumstances. It's why evolution stutters, halts and leaps, and maybe it can help us think about society and mind in ways that deepen comprehension of the tangled and surprising forces playing out at all scales, in society and in ecology. For quests as deep as these, we need to wear new lenses and train inquiries stereoscopically. How can and do the sciences and the humanities inform each other as we keep evolving — not just biologically, but culturally? Can we triangulate the truth by holding theories side by side and looking through them all together?Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I'm your host, Michael Garfield, and every other week we'll bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.This week, we speak with Aviv Bergman (Google Scholar), External Professor of the Santa Fe Institute and Director of the new Albert Einstein Institute for Advanced Study in the Life Sciences.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. Note that our applications for SFI postdoctoral fellowships open on August 1st! Tell a friend.If you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts or Spotify, and consider making a donation — or finding other ways to engage with us — at santafe.edu/engage.Thank you for listening!Join our Facebook discussion group to meet like minds and talk about each episode.Podcast theme music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedInMentioned Papers:Waddington's canalization revisited: Developmental stability and evolutionMark L. Siegal & Aviv BergmanEvolutionary capacitance as a general feature of complex gene networksAviv Bergman & Mark L. SiegalPhenotypic Pliancy and the Breakdown of Epigenetic Polycomb MechanismsMaryl Lambros, Yehonatan Sella, Aviv BergmanMammalian Endothermy Optimally Restricts Fungi and Metabolic CostsAviv Bergman & Arturo CasadevallHow on Earth can Aliens Survive? Concept and Case StudyAviv Bergman's 2022 SFI SeminarAdditional Mentioned Podcasts, Videos, & Writing:Melanie Mitchell on Artificial Intelligence: What We Still Don't KnowOn Coronavirus, Crisis, and Creative Opportunity with David Krakauer (Transmission Series Ep. 3)Ricardo Hausmann & J. Doyne Farmer on Evolving Technologies & Market Ecologies (EPE 03)Olivia Judson on Major Energy Transitions in Evolutionary HistoryJames Evans on Social Computing and Diversity by DesignMirta Galesic on Social Learning & Decision-makingWhat Determines The Complexity of Writing Systems?on the work of SFI Fellow Helena MitonDoes the Ecology of Somatic Tissue Normally Constrain the Evolution of Cancer?SFI Seminar by External Professor John PepperExplosive Proofs of Mathematical TruthsSFI Seminar by External Professor Simon DeDeoArmchair Scienceby 2022 SFI Journalism Fellow Dan Falk at Aeon MagazineThe coming battle for the COVID-19 narrativeSamuel Bowles, Wendy Carlin 10 April 2020Ignorance, Failure, Uncertainty, and the Optimism of ScienceStuart Firestein's 2022 SFI Community Lecture"Ancestral forms are very different, but as you increase regulatory interactions is decreasing the space of the possible. You can think of bureaucracy..."- SFI President David Krakauer on #DevoBias2018
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