Podcasts about complexity science

In this episode we sit down with Brian Klaas, author of Fluke, and get into the existential lessons and grander meaning for a life well-lived (once one finally accepts the power and influence of randomness, chaos, and chance). In addition, we learn not to fall prey to proportionality bias - the tendency for human brains to assume big, historical, or massively impactful events must have had big causes and/or complex machinations underlying their grand outcomes. It's one of the cognitive biases that most contributes to conspiratorial thinking and grand conspiracy theories, one that leads to an assumption that there must be something more going on when big, often unlikely, events make the evening news. Yet, as Brian explains, events big and small are often the result of random inputs in complex systems interacting in ways that are difficult to predict.Previous EpisodesBrian KlaasFlukeHow Minds ChangeDavid McRaney's TwitterDavid McRaney's BlueSkyYANSS TwitterYANSS FacebookNewsletterKittedPatreon 

All comments and opinions are those of the individuals recorded; they do not reflect any official policy or position of the Department of Defense or U.S. government.Dr. Ben Zweibelson is an author, philosopher, and a retired Army Infantry Officer with multiple combat tours in Iraq and Afghanistan. Ben lectures and publishes on military strategy, operational planning, design thinking, and war philosophy. His latest book, Reconceptualizing War, was released on April 30th. He has published two other books on the military design movement and innovation in defence applications. Ben earned the Army's Master Parachutist, Pathfinder, Air Assault, Expert and Combat Infantryman's Badges, the Ranger Tab, and was awarded four Bronze Stars in combat. He resides in Colorado Springs with his wife and children. His hobbies include getting injured doing jiu-jitsu, snowboarding, and CrossFit.A magnum opus, a tour de force—Dr. Ben Zweibelson's latest book, Reconceptualizing War, is all of these and more. I was fortunate enough to receive an advance copy, and it was a rich feast. If you've ever wondered what your favourite strategist, philosopher, or school of thought had to say about warfare, you're more than likely to find them in the pages of Reconceptualizing War. From Clausewitz to Kant, Tolstoy, Engels, Mao, the Futurists, Marcuse, or Deleuze and Guattari—and several dozen more—every time I wondered if a thinker was about to appear, there they were. I especially appreciated how Reconceptualizing War complemented the aims of my Hypervelocity podcast: going deeper to examine the philosophical underpinnings of conflict. The cover art goes hard too. Our conversation delves into the themes of reconceptualising war through various philosophical and theoretical lenses. Dr. Ben Zweibelson discusses the importance of social paradigms, the historical context of anti-fascism, and the evolution of ideological movements like Antifa. The dialogue also explores the theoretical connections between Kant, Clausewitz, and contemporary armed movements, as well as the implications of game theory and the future of warfare in the age of artificial intelligence.Chapters00:00 – Introduction to Reconceptualizing War02:44 – Theoretical Foundations: Burrell, Morgan, and Rapoport10:48 – Kant, Clausewitz, and Contemporary Movements17:01 – Antifa: Historical Context and Modern Implications26:03 – Understanding War: Paradigms and Frameworks37:48 – Radical Structuralism and Omnism in Warfare47:49 – The Marxist Vision of Utopia50:15 – The Enduring Nature of War52:04 – Game Theory and Warfare57:57 – Complexity Science and the Afghan Conflict01:06:28 – Radical Structuralism and Revolutionary Success01:14:56 – Détente and Radical Structuralism01:21:47 – Interpretivism and the Limitations of DiagramsAll comments and opinions are those of the individuals recorded; they do not reflect any official policy or position of the Department of Defense or U.S. government.

Join Alexander McCaig as he sits down with Michael Garfield, host of the Humans on the Loop podcast, evolutionary biologist, and former communications lead for the Santa Fe Institute. Together, they explore the intersection of technology, humanity, and the future of systems thinking in an engaging and thought-provoking conversation. Key Topics Discussed: Michael's Journey to Santa Fe: From Austin, Texas, to working at the prestigious Santa Fe Institute. The pivotal role of his sensitivity to ecological and cultural dynamics. Challenges faced in navigating the politics of science and funding while promoting meaningful research. The Power of Connecting Ideas and Communities: Michael's unique ability to connect disparate ideas and people into cohesive systems. How his podcast, Humans on the Loop, fosters relationships over transactions. Balancing Left and Right Hemispheric Thinking: A deep dive into Ian McGilchrist's work on hemispheric brain functions. The importance of integrating goal-oriented thinking (left brain) with holistic pattern recognition (right brain). Applications in technological design and the human search for meaning. The Limitations of Current Technological Optimizations: How hyper-specialization creates fragility in ecosystems and systems. The historical shift from survival-based technology to productivity-focused systems that disconnect humanity from community and ethics. Evolutionary Lessons for the Future of Humanity: Insights from evolutionary biology and paleontology on how living systems adapt to crises. Why generalists often thrive in periods of ecological collapse or market disruptions. Reimagining Human Relationships with AI: The role of AI in enhancing, not replacing, human intuition and decision-making. Using technology to foster self-awareness and self-responsibility rather than perpetuating productivity traps. Introducing the "Social Memory Complex": Alexander's vision for the future of TARTLE, starting with individual data vaults. Building toward a global model where humanity can collectively leverage its shared knowledge and decision-making capabilities. Rethinking Consent and Agency in Automation: Exploring the dynamics of human interaction with automation: "in the loop," "on the loop," and "out of the loop." How human agency can be redefined in the age of autonomous systems and decentralized technologies. The Role of Complexity Science in Solving Global Challenges: The need to move beyond one-dimensional thinking in science, economics, and governance. Using complexity to bridge gaps between disparate disciplines and communities. The Vision of Humans on the Loop: Why Michael chose the name and how the podcast explores the intersection of ethics, systems, and human agency. The importance of fostering conversations that address the constraints and possibilities of the future. Memorable Quotes: "The problem isn't desire—it's that your desires are too small." – Michael Garfield "Technology should enhance responsibility for human thinking, not take its place." – Alexander McCaig "The more you know, the less you know relative to what exists." – Michael Garfield     Resources Mentioned: Humans on the Loop Podcast: Visit Website     Connect with Michael Garfield: Website: Michael Garfield Podcast: Humans on the Loop Connect with Alexander McCaig & TARTLE: Website: TARTLE.co Schedule a Demo: Learn More About TARTLE   Takeaways for Listeners: This episode challenges us to think critically about our relationship with technology, the decisions we make as individuals, and the role we play in shaping the collective future of humanity. It's a call to embrace complexity, seek relationships over transactions, and engage in deeper self-reflection to unlock humanity's true potential.

Today we're joined by Michal Shur-Ofry, Associate Professor at the Hebrew University of Jerusalem law faculty, as she discusses the law and complex systems. In this episode, you'll hear how traditional legal approaches often take an overly simplistic view of the systems they're trying to regulate, how the patent system could be improved by using network science to measure true innovation, and why understanding exponential growth during events like pandemics challenges our conventional legal principles of proportionality. Resources and links: Michal Shur-Ofry’s website Michal Shur-Ofry on X Michal Shur-Ofry on Linkedin 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.

Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about our partnership. Sign up for the “Brain Inspired” email alerts to be notified every time a new “Brain Inspired” episode is released. David Krakauer is the president of the Santa Fe Institute, where their mission is officially "Searching for Order in the Complexity of Evolving Worlds." When I think of the Santa Fe institute, I think of complexity science, because that is the common thread across the many subjects people study at SFI, like societies, economies, brains, machines, and evolution. David has been on before, and I invited him back to discuss some of the topics in his new book The Complex World: An Introduction to the Fundamentals of Complexity Science. The book on the one hand serves as an introduction and a guide to a 4 volume collection of foundational papers in complexity science, which you'll David discuss in a moment. On the other hand, The Complex World became much more, discussing and connecting ideas across the history of complexity science. Where did complexity science come from? How does it fit among other scientific paradigms? How did the breakthroughs come about? Along the way, we discuss the four pillars of complexity science - entropy, evolution, dynamics, and computation, and how complexity scientists draw from these four areas to study what David calls "problem-solving matter." We discuss emergence, the role of time scales, and plenty more all with my own self-serving goal to learn and practice how to think like a complexity scientist to improve my own work on how brains do things. Hopefully our conversation, and David's book, help you do the same. David's website. David's SFI homepage. The book: The Complex World: An Introduction to the Fundamentals of Complexity Science. The 4-Volume Series: Foundational Papers in Complexity Science. Mentioned: Aeon article: Problem-solving matter. The information theory of individuality. Read the transcript. 0:00 - Intro 3:45 - Origins of The Complex World 20:10 - 4 pillars of complexity 36:27 - 40s to 70s in complexity 42:33 - How to proceed as a complexity scientist 54:32 - Broken symmetries 1:02:40 - Emergence 1:13:25 - Time scales and complexity 1:18:48 - Consensus and how ideas migrate 1:29:25 - Disciplinary matrix (Kuhn) 1:32:45 - Intelligence vs. life

J. Doyne Farmer is director of the Complexity Economics program 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. He is a renowned physicist and complex systems scientist with a career spanning more than four decades. As a pioneer in chaos theory and complexity science, he has made significant contributions to understanding dynamic systems and their applications in various fields, including economics and financial markets.In this conversation with Dave Young, the Global Leader of the BCG Henderson Institute's Center for Climate & Sustainability, Doyne discusses his journey from astrophysics to pioneering work in chaos theory and complex systems. He explains how modern computational power and big data are revolutionizing economic modeling, sharing insights from his team's accurate prediction of COVID-19's economic impact in the U.K. Farmer argues for a shift from traditional macroeconomic models to more dynamic, data-driven approaches that can capture the intricacies of our complex economic systems.This podcast uses the following third-party services for analysis: Chartable - https://chartable.com/privacy

Key Moments:Leveraging data for good (2:00) Every leader is responsible for data management (13:00) New metrics to validate AI's sustainability (21:00) Mitigating AI's risks to society (23:00) The current shape of global AI regulation (28:00) The importance of diversity in mitigating data bias (37:00) Key Quotes:“Every leader must understand that they have a responsibility for data management. It's an underlying skill that we really have to harness in all of our college, university, and high school programs. It's fundamental. We seem to teach people how to problem solve, but this is table stakes. In order to ever get AI right, we've got to solve the data challenges.”“There's no question on whether business value and how to measure AI's return on investment (ROI) is always top of mind in my discussions with executives. But what they really want to know is if their existing ROI methods are sufficient or not. What are the new metrics that they need to put in place to validate AI and its sustainability?”“We're not at the high-growth stage of AI innovation. We're in the early experimentation stage. We don't have international guardrails. All of these systems are going to take around 20-years to put in place. It takes six years to put a new university curriculum in place. People have to take responsibility to learn. This is a fundamental shift and it's one that's happening at break lightning speed.”Mentions:Mood InsightsGallup Research: 1 in 5 Employees Feel Lonely Worldwide KFF Loneliness and Support Networks Survey United States Artificial Intelligence Institute Dr. Cindy Gordon's AI Insights NewsletterHispanic Alliance for Career Enhancement and SalesChoice Whitepaper: Why Diversity Equity and Inclusion Leaders Must Lead in AIBio: Dr. Cindy Gordon ICD.D. is the CEO of SalesChoice, a SaaS AI company focused on Ending Growth Uncertainty for Human Advantage, and has been recognized by Onalytica as one of the top AI global influencers. Prior, she has held senior executive and partner roles at Accenture, Xerox, and Citicorp. She has also been a venture capitalist and angel advancing B2B technology software companies. Internationally, she is recognized for her innovative thought leadership with over 14 books in the market. Cindy is also a board advisor, thought leader in SaaS, AI and AI education, market research companies at: The AI Forum, Corent Technology, Forbes, Kaji.AI, USAII. Her AI community track record is extensive, University of Arizona – Business and Technology AI Board Advisor, Adjunct Professor, George Brown College, Applied AI. She regularly speaks at international conferences to advance AI Ethics and AI Education to board directors and C-suite executives. Academically, Dr. Gordon has an honorary Applied AI Doctorate Certification from George Brown College, an MIT AI Strategy Certification, and a doctorate in Complexity Science and Social Networks. She is also a certified Board Director with an ICD.D. designation. Under Dr. Gordon's leadership, the company has won over twenty international awards, most recently she was recognized as the CEO of the Year Award for Women in Digital Transformation. She has also received the Governor General Award for her Innovation and Community Leadership. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Manuel Sola Arjona is a cycling coach and former professional cyclist, author of the book "The Nature of Training", and host of the popular Spanish podcast "Rendimiento Evolutivo".            IN THIS EPISODE YOU'LL LEARN ABOUT: -Complexity science, complex systems and endurance performance -The risks of reductionism in training and in sports science  -An evolutionary perspective to training and performance -How to apply complex systems thinking in training planning and application -An overview of Manuel's training and coaching methodology -Common mistakes for endurance athletes and coaches to avoid -AI, big data, wearables, and technology     SHOWNOTES: https://scientifictriathlon.com/tts437/     SCIENTIFIC TRIATHLON AND THAT TRIATHLON SHOW WEBPAGE: www.scientifictriathlon.com/podcast/     SPONSORS: Precision Fuel & Hydration help athletes personalise their hydration and fueling strategies for training and racing. Use the free Fuel & Hydration Planner to get personalised plan for your carbohydrate, sodium and fluid intake in your next event. That Triathlon Show listeners get 15% off their first order of fuel and electrolyte products. Simply use this link and the discount will be auto-applied at the checkout.   ZEN8 - The ZEN8 Indoor Swim Trainer allows you to improve technique, power, and swim training consistency. You can target specific aspects of your stroke, like catch and pull-through, work on core activation and body position, and make sure you stay consistent in your swim training even when you don't have time to go to the pool. Try the Zen8 risk-free for 30 days, and get 20% off your first order on zen8swimtrainer.com/tts.     LINKS AND RESOURCES: Manuel's website, Instagram, and Twitter The Nature of Training: Complexity Science Applied to Endurance Performance - Manuel's book Rendimiento Evolutivo - Manuel's podcast (Spanish) Manuel's Substack Newsletter     RATE AND REVIEW: If you enjoy the show, please help me out by subscribing, rating and reviewing: www.scientifictriathlon.com/rate/     CONTACT: Want to send feedback, questions or just chat? Email me at mikael@scientifictriathlon.com or connect on Instagram, Facebook, or Twitter.

This week's guest, Jessica Bockler is one of those people who sparks every fire in my being - and i hope in yours, too.  Jessica is an applied theatre practitioner and transpersonal psychologist who co-founded the Alef Trust a globally-conscious non-profit organisation offering online graduate education programmes, and open learning courses for people who want really to step into what Indy Johar so beautifully calls the emergent edge of Inter-Becoming. Jessica is integral to the Nurturing the Fields of Change Programme that brings people together from diverse walks of life to create an emerging community of practice around change - and she's Programme Director for the Trust's academic programmes in Consciousness, Spirituality and Transpersonal Psychology. She teaches on a range of topics, bringing spiritual perspectives to activism and social change - so you can begin to see why I find her work so enthralling. She stands at that nexus where transpersonal psychology meets shamanic practice, where being and becoming are an art and a practice in themselves, grounded in modern science - not the reductive, Head Mind science of the nineteenth and twentieth centuries, but twenty-first century science where complexity and systems thinking lie at the heart of all we do, where we recognise that only by becoming fully present in the moment, can we access the whole, vast intelligence of the All That Is and find what is ours to do. Jessica brings all this into being in social prescribing programmes, in theatre, in change facilitation, in the MSc at Liverpool John Moores University and in her daily life and she shares it in the conversation you're about to hear - including a clip of one of her own practices, that is solid podcasting gold.  If you're interested in finding out how we can access our own inner intelligence and build with others to co-create the foundations of that more flourishing future we'd be proud to leave behind, then this is the podcast for you.  ALEF Trust  https://aleftrust.org Nurturing the Fields of Change https://www.aleftrust.org/alef-applied/nurturing-the-fields-of-change-programme/MSc in Consciousness, Spirituality and Transpersonal Psychology https://www.aleftrust.org/academic-learning/masters-degree/Live Event: Healing Humanity, 1st June 2024, Broughton Sanctuary, Yorkshire eventbrite.co.uk/e/healing-humanity-imagination-embodiment-and-community-tickets-887551710057 Workshop: Embodied Imagination for Social Change, 2nd & 3rd September, Oxford eurotas2024.com/pre-post-conference-workshops/towards-emergence-embodied-play-and-sourcing-for-transformation Conference, 4 – 8 Sept, Oxford: Creative Bridges: embodied consciousness, psyche & soul in research and practice eurotas2024.comNational Academy for Social Prescribing https://socialprescribingacademy.org.uk/Inner Green Deal  https://innergreendeal.com/

In this episode we sit down with Brian Klaas, author of Fluke,  to get into the existential lessons and grander meaning for a life well-lived once one finally accepts the power and influence of randomness, chaos, and chance. In addition, we learn not to fall prey to proportionality bias - the tendency for human brains to assume big, historical, or massively impactful events must have had big causes and/or complex machinations underlying their grand outcomes. It's one of the cognitive biases that most contributes to conspiratorial thinking and grand conspiracy theories, one that leads to an assumption that there must be something more going on when big, often unlikely, events make the evening news. Yet, as Brian explains, events big and small are often the result of random inputs in complex systems interacting in ways that are difficult to predict.Previous EpisodesBrian KlaasFlukeHow Minds ChangeDavid McRaney's TwitterYANSS TwitterNewsletterPatreon

Okinawa Institute of Science and Technology Graduate University (OIST) has been selected by the Japan Science and Technology Agency (JST) as a recipient of the "COI-NEXT" program in 2022, which aims to realize a sustainable society based on mind, body, and natural environment, and will establish the "Global Bioconvergence Innovation Center" in 2023. One year after its establishment, how has the Center's project developed and how will it develop in the future? On February 20, 2024, the Center's annual symposium "Cutting-Edge Science for Social Implementation" was held. Many stakeholders gathered to share the current status of the Center's projects and confirm the future direction of the Center's activities. This time on the OIST Podcast, DJ Nick Luscombe, OIST Podcaster-in-Residence reports on the event.  In this episode, you can listen to the Panel Discussion, featuring following panelists: Hiroaki Kitano, Professor (adjunct), Integrated Open Systems Unit, OIST Tim Ravasi, Professor, Marine Climate Change Unit, OIST Ulf Dieckmann, Professor, Complexity Science and Evolution Unit, OIST Koshu Kunii General Partner, Lifetime Ventures Natalia Koshkina, R&D Projects Coordinator, The Global Bioconvergence Cetner of Innovation, OIST Masayuki Kurihara, Corporate Development Director, OIST Innovation Chaired by Nicholas Luscombe, Professor, Dean of Research, OIST Learn more about the OIST COI-NEXT Program: https://bioconvergence.jp/en/ About the COI-NEXT Symposium 2024: https://groups.oist.jp/bioconvergence/fy-2023-coi-next-annual-symposium

In this episode we sit down with professor of Neil Theise, the author of Notes on Complexity,  to get an introduction to complexity theory, the science of how complex systems behave – from cells to human beings, ecosystems, the known universe, and beyond – and we explore if Ian Malcolm was right when he told us in Jurassic Park that "Life, um, finds a way."Previous EpisodesNeil Theise's WebsiteNotes on ComplexityConway's Game of LifeThe Santa Fe InstituteTechnosphereHow Minds ChangeDavid McRaney's TwitterYANSS TwitterNewsletter

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: On Complexity Science, published by Garrett Baker on April 5, 2024 on LessWrong. I have a long and confused love-hate relationship with the field of complex systems. People there never want to give me a simple, straightforward explanation about what its about, and much of what they say sounds a lot like woo ("edge of chaos" anyone?). But it also seems to promise a lot! This from the primary textbook on the subject: The present situation can be compared to an archaeological project, where a mosaic floor has been discovered and is being excavated. While the mosaic is only partly visible and the full picture is still missing, several facts are becoming clear: the mosaic exists; it shows identifiable elements (for instance, people and animals engaged in recognizable activities); there are large patches missing or still invisible, but experts can already tell that the mosaic represents a scene from, say, Homer's Odyssey. Similarly, for dynamical complex adaptive systems, it is clear that a theory exists that, eventually, can be fully developed. Of course, that textbook never actually described what the mosaic it thought it saw actually was. The closest it came to was: More formally, co-evolving multiplex networks can be written as, ddtσi(t)F(Mαij,σj(t)) ddtMαijG(Mβij(t),σj(t)).(1.1) [...] The second equation specifies how the interactions evolve over time as a function G that depends on the same inputs, states of elements and interaction networks. G can be deterministic or stochastic. Now interactions evolve in time. In physics this is very rarely the case. The combination of both equations makes the system a co-evolving complex system. Co-evolving systems of this type are, in general, no longer analytically solvable. Which... well... isn't very exciting, and as far as I can tell just describes any dynamical system (co-evolving or no). The textbook also seems pretty obsessed with a few seemingly random fields: Economics Sociology Biology Evolution Neuroscience AI Probability theory Ecology Physics Chemistry "What?" I had asked, and I started thinking Ok, I can see why some of these would have stuff in common with others. Physics brings in a bunch of math you can use. Economics and sociology both tackle similar questions with very different techniques. It would be interesting to look at what they can tell each other (though it seems strange to spin off a brand new field out of this). Biology, evolution, and ecology? Sure. Both biology and ecology are constrained by evolutionary pressures, so maybe we can derive new things about each by factoring through evolution. AI, probability theory, and neuroscience? AI and neuroscience definitely seem related. The history of AI and probability theory has been mixed, and I don't know enough about the history of neuroscience and probability theory to have a judgement there. And chemistry??? Its mostly brought into the picture to talk about stoichiometry, the study of the rate and equilibria of chemical reactions. Still, what? And how exactly is all this meant to fit together again? And each time I heard a complex systems theorist talk about why their field was important they would say stuff like Complexity spokesperson: Well, current classical economics mostly assumes you are in an economic equilibrium, this is because it makes the math easier, but in fact we're not! And similarly with a bunch of other fields! We make a bunch of simplifying assumptions, but they're all usually a simplification of the truth! Thus, complex systems science. Me: Oh... so you don't make any simplifying assumptions? That seems... intractable? Complexity spokesperson: Oh no our models still make plenty of simplifications, we just run a bunch of numerical simulations of toy scenarios, then make wide and sweeping claims about the results. Me: That seems... wors...

In this thought-provoking conversation, Dr. Greg Kelly, Director of Product Development at Neurohacker Collective and Author of Shape Shift, to discuss the science of shape, also known as shape intelligence. We discuss and define shape intelligence as being the body's innate ability to adapt and optimize our shape based on our environment and genetic predispositions. Empowered with this knowledge we uncover the root causes, habits, and lifestyle behaviors, backed by science, that are key to improving your shape, weight, and health. Sponsored by Qualia Synbiotic: https://neurohacker.com/insights15. Use code insights15 when you shop Qualia Synbiotic for 15% off your order. Get in touch. Instagram: https://www.instagram.com/neurohacker/. Facebook: https://www.facebook.com/neurohackercollective. Email: support@neurohacker.com.

This week's theme: Complexity Science Complexity science acknowledges the intricate nature of human systems, emphasizing the interconnectedness and emergent properties that arise from interactions among various […] The post Complexity Science with Dr. Virginia Lacayo appeared first on Heather Hansen Oneill.

On this episode of The Insightful Leader: From climate change to neuroscience, this new approach is reshaping how we study complicated systems.

Trailer for Complexity: Physics of Life, from the Santa Fe Institute

------------------Support the channel------------ Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 1 Dollar: https://tinyurl.com/yb3acuuy 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--------------------- Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://twitter.com/TheDissenterYT Podcast: http://bit.ly/3FeSNqb   This show is sponsored by Enlites, Learning& Development done differently. Check the website here: http://enlites.com/   Dr. Luis Favela is an Associate Professor of Philosophy and Cognitive Sciences (tenured) at the University of Central Florida. He is concurrently a Fellow in the Research Corporation for Science Advancement's Molecular Basis of Cognition Scialog program. His research attempts to understand mind (i.e., behavior, cognition, and consciousness) from a naturalistic and interdisciplinary perspective.   In this episode, we start by talking about complexity science, and how it applies to the study of the mind, and the relationship between mind and brain. We then go through embodied cognition, distributed cognition, and extended cognition. We talk about computational-representational approaches in cognitive science and their limitations, and the computer metaphor of the mind. We discuss dynamical systems theory, what a dynamical system is, and a recent dynamical renaissance in neuroscience. Finally, we talk about mechanistic explanations in science, and explanatory pluralism. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, HANS FREDRIK SUNDE, BERNARDO SEIXAS, OLAF ALEX, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, JOHN CONNORS, 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, ADANER USMANI, 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, DANIEL FRIEDMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ANTON ERIKSSON, CHARLES MOREY, 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, BENJAMIN GELBART, JESSICA NOWICKI, LINDA BRANDIN, NIKLAS CARLSSON, ISMAËL BENSLIMANE, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, KATE VON GOELER, ALEXANDER HUBBARD, LIAM DUNAWAY, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, ERIK ENGMAN, LUCY, AND YHONATAN SHEMESH! 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, AND NICK GOLDEN! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!

Neil Theise is a professor of pathology at the NYU Grossman School of Medicine. Through his scientific research, he has been a pioneer of adult stem cell plasticity which led him to an interest in complexity theory.  This interest has resulted in interdisciplinary collaborations in fields such as consciousness studies and the connection between science and spirituality, topics he explores in his new book Notes on Complexity. neiltheiseofficial.com

Alyssa Ravasio is the founder and CEO of Hipcamp, a global online platform that brings the sharing economy to one of the planet's most plentiful resources—land. Built on the belief that getting outside should be simple, Hipcamp partners with private landowners across the United States, Canada, Australia, and the United Kingdom to create new spaces for recreation, increasing access to the outdoors while providing sustainable revenue to protect nature. To date, Hipcamp has unlocked access to more than 4 million acres of private land and helped people enjoy more than 7 million nights under the stars.Alyssa has received industry recognition for her achievement. She has served on the Outdoor Industry Association's Recreation Advisory Council and in 2022 she was recognized by Outside Business Journal as one of the 20 most influential people in the outdoor industry.Alyssa earned her bachelor's degree in Digital Democracy and Complexity Science from the University of California, Los Angeles. She lives in the wilds of Marin County with her husband and young son, and one of her deepest passions is shaping how the internet impacts our humanity and our planet.Alyssa has graciously provided a discount code for Adventure Sports Podcast listeners! Use ADVENTURESPORTS10 for 10% off first booking with Hipcamp!@Hipcamphttps://www.hipcamp.com/en-USOur Sponsors:* Check out Green Chef and use my code asp250 for a great deal: https://www.greenchef.com/asp250* Check out Oris Watches: https://www.oris.ch* Check out Roark and use my code ASP15 for a great deal: https://roark.com/* Check out Shopify and use my code asp for a great deal: https://www.shopify.com/aspSupport this podcast at — https://redcircle.com/adventure-sports-podcast/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

In our last episode, we talked about the four conditions of complex systems: numerosity, disorder and diversity, feedback, and non-equilibrium — and we also talked about the concept of emergence. In this episode, which is part two of our two-part series on the features of complex systems, we're joined again by Karoline Wiesner, Professor of Complexity Science in the Department of Physics and Astronomy at the University of Potsdam in Germany. In this episode, Karoline explains the six emergent features of complex systems:  Spontaneous order and self-organisation Non-linearity Robustness Nested structure and modularity History and memory Adaptive behaviour  By the time you've finished this episode, you'll understand the underlying principles of complex systems that hold together the wide variety of topics we talk about in this series.   Resources and links: Karoline's book ‘What Is a Complex System?' Simplifying Complexity - What makes ant colonies robust?  Simplifying Complexity - The Economy and Complexity Science: Part 2    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.

“Spend some time looking at the system in which you work. Understand how the work is working. Understand how flow is for your organization. And then you can work to optimize that." James Lewis is a Director at ThoughtWorks and a pioneer of microservice architecture. In this episode, we went back memory lane to the time when James first coined and popularized the microservice architecture. James described his definition of a microservice and its important characteristics. He also shared the recent microservice evolution, including the swing between microservice and monolith. In the second half, James shared his insights from complexity science related to different scaling patterns. Particularly, he explained how different hierarchy types can affect an organization's growth rate. Towards the end, James gave some tips on how organization can detect signs of suboptimal growth and what we can do to maintain organizational agility.   Listen out for: Career Journey - [00:03:48] Coining Microservices - [00:07:25] Definition of Microservices - [00:14:13] Microservices Swing - [00:18:42] Scaling Law and Complexity Science - [00:24:05] Complex and Adaptive System - [00:40:01] Examining Sublinear Growth - [00:43:47] 3 Tech Lead Wisdom - [00:51:19] _____ James Lewis's BioJames is a Software Architect and Director at Thoughtworks based in the UK. He's proud to have been a part of Thoughtworks' journey for fourteen years and it's ongoing mission of delivering technical excellence for its clients and in amplifying positive social change for an equitable future. As a member of the Thoughtworks Technical Advisory Board, the group that creates the Technology Radar, he contributes to industry adoption of open source and other tools, techniques, platforms and languages. He is an internationally recognised expert on software architecture and design and on its intersection with organisational design and lean product development. After defining what was the newly emerging Microservices architectural style back in 2014, James' primary consulting focus these days is helping organisations with technology strategy, distributed systems design and adoption of SOA. Follow James Lewis: Twitter – @boicy LinkedIn – linkedin.com/in/james-lewis-microservices/ Email – james.lewis@thoughtworks.com _____ Our Sponsors Are you looking for a new cool swag? Tech Lead Journal now offers you some swags that you can purchase online. These swags are printed on-demand based on your preference, and will be delivered safely to you all over the world where shipping is available. Check out all the cool swags available by visiting techleadjournal.dev/shop. And don't forget to brag yourself once you receive any of those swags. Like this episode? Show notes & transcript: techleadjournal.dev/episodes/135 Follow @techleadjournal on LinkedIn, Twitter, and Instagram. Buy me a coffee or become a patron.

In most of our episodes so far, we've taken a single concept and looked at it through the context of a single example. But in this episode and the next, we're going to pull back the camera to get a bird's-eye view of complexity science, by exploring the features common to all complex systems. We're joined again by Karoline Wiesner, Professor of Complexity Science in the Department of Physics and Astronomy at the University of Potsdam in Germany. In this episode, Karoline is going to explain four conditions that we see in complexity science: numerosity, disorder and diversity, feedback, and non-equilibrium. At the end of the episode, she's going to bring them all together to explain a central concept of complex systems: emergence.   Resources and links: Karoline's book ‘What Is a Complex System?'   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.

Manesh Girn is a psychedelic neuroscientist firmly rooted in both academia and industry. He joins us on the Psychedelic Spotlight podcast today to speak about his research into neuroimaging of the brain while subjected to psychedelic states, as well as to speak about the nuances of biotech companies seeking to monopolize certain compounds. We discuss the merit of whether or not psychedelic researchers should have subjective experiences with the compounds they're researching, and hear about the blindspots in the psychedelic research community. You can keep in touch with Manesh over on:Twitter: @mgirnneuroInstagram: @maneshgirnAnd check out his relevant links on Link Tree: https://linktr.ee/thepsychedelicscientist

How do we get a handle on complex systems thinking? What are the implications of this science for philosophy, and where does philosophical tradition foreshadow findings from the scientific frontier?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.In this episode we speak with Carlos Gershenson (UNAM website, Google Scholar, Wikipedia, Twitter), SFI Sabbatical Visitor and professor of computer science at the Universidad Nacional Autónoma de México, where he leads the Self-organizing Systems Lab, among many other titles you can find in our show notes. For the next hour, we'll discuss his decades of research and writing on a vast array of core complex systems concepts and their intersections with both Western and Eastern philosophical traditions — a first for this podcast.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.For HD virtual backgrounds of the SFI campus to use on video calls and a chance to win a signed copy of one of our books from the SFI Press, please help us improve our scicomm by completing a survey linked in the show notes.Or just a copy of the recently resurfaced SFI Press Archival Volume Complexity, Entropy, and The Physics of Information.There's still time to apply for the Complexity GAINS UK program for PhD students – apps close March 15th.Or come work for us! We are on the lookout for a new Digital Media Specialist, an Applied Complexity Fellow in Sustainability, a Research Assistant in Emergent Political Economies, and a Payroll, Accounts Payable & Receivable Specialist.You can also 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 & Related Links:Carlos publishes the Complexity Digest Newsletter.His SFI Seminars to date:A Brief History of BalanceEmergence, (Self)Organization, and ComplexityCriticality: A Balance Between Robustness and AdaptabilityFestina lente (the slower-is-faster effect)Antifragility: Dynamical BalanceW. Ross Ashby & The Law of Requisite VarietyHyperobjectsby Timothy MortonHow can we think the complex?by Carlos Gershenson and Francis HeylighenThe Implications of Interactions for Science and Philosophyby Carlos GershensonComplexity and Philosophyby Francis Heylighen, Paul Cilliers, Carlos GershensonHeterogeneity extends criticalityby Fernanda Sánchez-Puig, Octavio Zapata, Omar K, Pineda, Gerardo Iñiguez, and Carlos GershensonWhen Can we Call a System Self-organizing?by Carlos Gershenson and Francis HeylighenTemporal, Structural, and Functional Heterogeneities Extend Criticality and Antifragility in Random Boolean Networksby Amahury Jafet López-Díaz, Fernanda Sánchez-Puig, and Carlos GershensonWhen slower is fasterby Carlos Gershenson, Dirk HelbingSelf-organization leads to supraoptimal performance in public transportation systemsby Carlos GershensonDynamics of rankingby Gerardo Iñiguez, Carlos Pineda, Carlos Gershenson, & Albert-László BarabásiSelf-Organizing Traffic Lightsby Carlos GershensonDynamic competition and resource partitioning during the early life of two widespread, abundant and ecologically similar fishesby A. D. Nunn, L. H. Vickers, K. Mazik, J. D. Bolland, G. Peirson, S. N. Axford, A. Henshaw & I. G. CowxTowards a general theory of balanceby Carlos GershensonA Calculus for Self-Referenceby Francisco VarelaOn Some Mental Effects of The Earthquakeby William JamesSelf-Organization Leads to Supraoptimal Performance in Public Transportation Systemsby Carlos GershensonAlison Gopnik on Child Development, Elderhood, Caregiving, and A.I.Complexity Ep. 99Simon DeDeo on Good Explanations & Diseases of EpistemologyComplexity Ep. 72David Wolpert on The No Free Lunch Theorems and Why They Undermine The Scientific MethodComplexity Ep. 45The Clock of the Long Now: Time and Responsibilityby Stewart BrandMichael LachmannStuart KauffmanAndreas WagnerCosma ShaliziNassim TalebDoes Free Will Violate The Laws of Physics?Big Think interviews Sean Carroll

And now for something completely different!  Last October, The Santa Fe Institute held its third InterPlanetary Festival at SITE Santa Fe, celebrating the immensely long time horizon, deep scientific and philosophical questions, psychological challenges, and engineering problems involved in humankind's Great Work to extend its understanding and presence into outer space. For our third edition, we turned our attention to visionary projects living generations will likely not live to see completed — interstellar travel, off-world cities, radical new ways of understanding spacetime — as an invitation to engage in science as not merely interesting but deeply fun. For our first panel, we decided to inquire: What is time, really? How has science fiction changed  the way we track and measure, speak about, and live in time? And how do physics and complex systems science pose and answer these most fundamental questions?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.In this week's episode, we share the Complex Conceptions of Time panel from InterPlanetary Festival 2022, moderated by SFI President David Krakauer and featuring an all-star trinity of panelists: science journalist James Gleick, sci-fi author and SFI Miller Scholar Ted Chiang, and physicist and SFI Professor David Wolpert. In this hour, we play with and dissect some favorite metaphors for time, unroll the history of time's mathematization, review time travel in science fiction, and examine the arguments between free will and determinism.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com — as well as the extensive, interactive web-based “Voyager Golden Record Liner Notes” with links to not only all of the panels from IPFest 2022 but also copious additional resources, including contributor bios, peer-reviewed publications, science fiction and nonfiction science writing, and more…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.If you'd like some HD virtual backgrounds of the SFI campus to use on video calls and a chance to win a signed copy of one of our books from the SFI Press, help us improve our science communication by completing a survey about our various scicomm channels. Thanks for your time!Lastly, we have a bevy of summer programs coming up! Join us June 19-23 for Collective Intelligence: Foundations + Radical Ideas, a first-ever event open to both academics and professionals, with sessions on adaptive matter, animal groups, brains, AI, teams, and more.  Space is limited!  The application deadline has been extended to March 1st.OR apply to the Graduate Workshop on Complexity in Social Science.OR the Complexity GAINS UK program for PhD students.(OR check our open listings for a staff or research job!)Join our Facebook discussion group to meet like minds and talk about each episode.Podcast theme music by Mitch Mignano.Episode cover art by Michael Garfield with the help of Midjourney.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn(SOME) Mentioned & Related Links:David KrakauerMathematical languages shape our understanding of time in physicsby Nicolas GisinDoes Time Really Flow? New Clues Come From a Century-Old Approach to Mathby Natalie WolchoverThe Principle of Least ActionPath Integral FormulationClosed Timelike CurveThe Time Machineby H. G. WellsKip ThorneJames GleickGenius: The Life and Science of Richard FeynmanThe Physicist and The Philosopherby Jimena CanalesTed Chiang“Story of Your Life”ArrivalExhalationRussian Doll (TV series)“The Merchant and the Alchemist's Gate”David WolpertComplexity 94 - David Wolpert & Farita Tasnim on The Thermodynamics of CommunicationComplexity 45 - David Wolpert on The No Free Lunch Theorems and Why They Undermine The Scientific MethodA Connecticut Yankee in King Arthur's Court by Mark TwainIntuitionist Mathematics

Founders – you work so hard to be prepared for investors' questions during your pitch presentations.But are you qualifying those investors? Your time is valuable, and you need to minimize the chance of wasting your time with investors who will not invest in your startup.Our guest, Alex Iskold, is a 4x founder, a software engineer, an investor in over 150 startups, and the Founder and a Managing Partner at 2048 Ventures, where he leads pre-seed rounds, backs visionary founders who are creating technologies of the future, with a specific focus on biotech, deep tech, platform and API companies.Alex writes one of the top startup blogs (a personal fave!), called Startup Hacks, and is a life-long learner and deeply interested in Complexity Science and Systems Thinking. (https://www.startuphacks.vc/)Prior to founding 2048 Ventures, Alex spent 5 years at Techstars as the Managing Director of its NYC program. He was also the founder and CEO of Info Lab (acquired by IBM), founder and CEO of GetGlue (backed by USV, RRE, Time Warner), and a Chief Architect of distributed computing startup DataSynapse (acquired by TIBCO).Alex currently serves as a Coach and a VC in Residence at the Harvard Business School, and he previously taught an award-winning undergraduate computer science class at NYU. 11 Questions Founders Need to Ask Investors During the First Meetinghttps://www.startuphacks.vc/blog/2016/09/21/11-questions-founders-need-to-ask-investors-during-the-fist-meeting30 Questions Investors Ask During Fundraisinghttps://www.startuphacks.vc/blog/2016/09/13/30-questions-investors-ask-during-fundraisingTo learn more about 2048 Ventures, please visit: https://www.2048.vc/Follow Alex via:Twitter: https://twitter.com/alexiskoldLinkedIn: https://www.linkedin.com/in/iskold/Startup Hacks: https://www.startuphacks.vc/Thank you for carving out time to improve your Founder Game - when you do better, your startup will do better - cheers!Ande ♥https://andelyons.com#bestpodcastforstartups #startupstories #startuplife JOIN STARTUP LIFE LIVE MEETUP GROUPGet an alert whenever I post a new show!https://bit.ly/StartupLifeLIVECONNECT WITH ME ONLINE: https://twitter.com/AndeLyonshttps://www.linkedin.com/in/andelyons/ https://www.instagram.com/ande_lyons/ TikTok: @andelyonsANDELICIOUS ANNOUNCEMENTSJoin Innovation Women here: https://bit.ly/AndeInnoWomenArlan's Academy: https://arlansacademy.com/Scroobious - use Ande15 discount code: https://www.scroobious.com/How to Raise a Seed Round: https://bit.ly/AAElizabethYinTune in to Mia Voss' Shit We Don't Talk About podcast here: https://shitwedonttalkaboutpodcast.com/SPONSORSHIPIf you resonate with the show's mission of amplifying diverse founder voices while serving first-time founders around the world, please reach out to me to learn more about making an impact through sponsoring the Startup Life LIVE Show! ande@andelyons.com.

There are maps, and there are territories, and humans frequently confuse the two. No matter how insistently this point has been made by cognitive neuroscience, epistemology, economics, and a score of other disciplines, one common human error is to act as if we know what we should measure, and that what we measure is what matters. But what we value doesn't even always have a metric. And even reasonable proxies can distort our understanding of and behavior in the world we want to navigate. Even carefully collected biometric data can occlude the other factors that determine health, or can oversimplify a nuanced conversation on the plural and contextual dimensions of health, transforming goals like functional fitness into something easier to quantify but far less useful. This philosophical conundrum magnifies when we consider governance at scales beyond those at which Homo sapiens evolved to grasp intuitively: What should we count to wisely operate a nation-state? How do we practice social science in a way that can inform new, smarter species of   political economy? And how can we escape the seductive but false clarity of systems that rain information but do not enhance collective wisdom?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 on the show we talk to SFI External Professor Paul Smaldino at UC Merced and University of Utah Professor of Philosophy  C. Thi Nguyen. In this episode we talk about   value capture and legibility, viewpoint diversity, issues that plague big governments, and expert identification problems…and map the challenges “ahead of us” as SFI continues as the hub of a five-year international research collaboration into emergent political economies. (Find links to all previous episodes in this sub-series in the notes below.)Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. 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.If you'd like some HD virtual backgrounds of the SFI campus to use on video calls and a chance to win a signed copy of one of our books from the SFI Press, help us improve our science communication by completing a survey about our various scicomm channels. Thanks for your time!Lastly, we have a bevy of summer programs coming up! Join us June 19-23 for Collective Intelligence: Foundations + Radical Ideas, a first-ever event open to both academics and professionals, with sessions on adaptive matter, animal groups, brains, AI, teams, and more.  Space is limited!  The application deadline has been extended to March 1st.OR apply to the Graduate Workshop on Complexity in Social Science.OR the Complex ity GAINS UK program for PhD students.(OR check our open listings for a staff or research job!)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 & Related Links:Transparency Is Surveillanceby C. Thi NguyenThe Seductions of Clarityby C. Thi NguyenThe Natural Selection of Bad Scienceby Paul Smaldino and Richard McElreathMaintaining transient diversity is a general principle for improving collective problem solvingby Paul Smaldino, Cody Moser, Alejandro Pérez Velilla, Mikkel WerlingThe Division of Cognitive Laborby Philip KitcherThe Unreasonable Effectiveness of Mathematics in The Natural Sciencesby Eugene WignerOn Crashing The Barrier of Meaning in A.I.by Melanie MitchellSeeing Like A Stateby James C. ScottJim RuttSlowed Canonical Progress in Large Fields of Scienceby Johan Chu and James EvansThe Coming Battle for the COVID-19 Narrativeby Wendy Carlin and Samuel BowlesPeter TurchinIn The Country of The Blindby Michael Flynn82 - David Krakauer on Emergent Political Economies and A Science of Possibility (EPE 01)83 - Eric Beinhocker & Diane Coyle on Rethinking Economics for A Sustainable & Prosperous World (EPE 02)84 - Ricardo Hausmann & J. Doyne Farmer on Evolving Technologies & Market Ecologies (EPE 03)91 - Steven Teles & Rajiv Sethi on Jailbreaking The Captured Economy (EPE 04)97 - Glen Weyl & Cris Moore on Plurality, Governance, and Decentralized Society (EPE 05)

Humans have an unusually long childhood — and an unusually long elderhood past the age of reproductive activity. Why do we spend so much time playing and exploring, caregiving and reflecting, learning and transmitting? What were the evolutionary circumstances that led to our unique life history among the primates? What use is the undisciplined child brain with its tendencies to drift, scatter, and explore in a world that adults understand in such very different terms? And what can we transpose from the study of human cognition as a developmental, stagewise process to the refinement and application of machine learning technologies?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 talk to SFI External Professor Alison Gopnik, Professor of Psychology and Affiliate Professor of Philosophy at the University of California Berkeley, author of numerous books on psych, cognitive science, childhood development. She writes a column at The Wall Street Journal, alternating with Robert Sapolsky. Slate said that Gopnik is “where to go if you want to get into the head of a baby.” In our conversation we discuss the tension between exploration and exploitation, the curious evolutionary origins of human cognition, the value of old age, and she provides a sober counterpoint about life in the age of large language machine learning models.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. 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.Lastly, we have a bevy of summer programs coming up! Join us June 19-23 for Collective Intelligence: Foundations + Radical Ideas, a first-ever event open to both academics and professionals, with sessions on adaptive matter, animal groups, brains, AI, teams, and more.  Space is limited! Apps close February 1st.OR Apply to participate in the Complex Systems Summer School.OR the Graduate Workshop on Complexity in Social Science.OR the Undergraduate Complexity Research program, for which apps close tonight!OR the free online Foundations and Applications in Humanities Analytics course with Complexity Explorer, which starts next week.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 & Related Links:Alison Gopnik at WikipediaAlison Gopnik's Google Scholar pageExplanation as Orgasmby Alison GopnikTwitter thread for Gopnik's latest SFI Seminar on machine learning and child developmentChanges in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthoodby Gopnik et al.Pretense, Counterfactuals, and Bayesian Causal Models: Why What Is Not Real Really Mattersby Deena Weisberg & Alison GopnikChildhood as a solution to explore–exploit tensionsby Alison GopnikThe Origins of Common Sense in Humans and Machinesby Kevin A Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Joshua B Tenenbaum, & Tomer UllmanWhat Does “Mind-Wandering” Mean to the Folk? An Empirical Investigationby Zachary C. Irving, Aaron Glasser, Alison Gopnik, Verity Pinter, Chandra SripadaModels of Human Scientific Discoveryby Robert Goldstone, Alison Gopnik, Paul Thagard, Tomer UllmanLove Lets Us Learn: Psychological Science Makes the Case for Policies That Help Childrenby Alison Gopnik at APSOur Favorite New Things Are the Old Onesby Alison Gopnik at The Wall Street JournalAn exchange of letters on the role of noise in collective intelligenceby Daniel Kahneman, David Krakauer, Olivier Sibony, Cass Sunstein, & David Wolpert#DEVOBIAS2018 on SFI TwitterCoarse-graining as a downward causation mechanismby Jessica FlackComplexity 90: Caleb Scharf on The Ascent of Information: Life in The Human DataomeComplexity 15: R. Maria del-Rio Chanona on Modeling Labor Markets & Tech UnemploymentLearning through the grapevine and the impact of the breadth and depth of social networksby Matthew Jackson, Suraj Malladi, & David McAdamsThe coming battle for the COVID-19 narrativeby Wendy Carlin & Sam BowlesComplexity 83: Eric Beinhocker & Diane Coyle on Rethinking Economics for A Sustainable & Prosperous WorldComplexity 97: Glen Weyl & Cris Moore on Plurality, Governance, and Decentralized SocietyDerek Thompson at The Atlantic on the forces slowing innovation at scale (citing Chu & Evans)

The mind doesn't like to think in complexity. It likes simple answers. However, at times, simplicity AND complexity are needed. In this episode, I share what is complexity science and how to better understand it! CONNECT WITH ME:

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.

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.

In his foundational 1972 paper “More Is Different,” physicist Phil Anderson made the case that reducing the objects of scientific study to their smallest components does not allow researchers to predict the behaviors of those systems upon reconstruction. Another way of putting this is that different disciplines reveal different truths at different scales. Contrary to long-held convictions that there would one day be one great unifying theory to explain it all, fundamental research in this century looks more like a bouquet of complementary approaches. This pluralistic thinking hearkens back to the work of 19th century psychologist William James and looks forward into the growing popularity of evidence-based approaches that cultivate diversity in team-building, governance, and ecological systems. Context-dependent theory and practice calls for choirs of voices…so how do we encourage this? New systems must emerge to handle the complexity of digital society…what might they look like?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 on the show we dip back into our sub-series on SFI's Emergent Political Economies research theme with a trialogue featuring Microsoft Research Lead Glen Weyl (founder of RadicalXChange and founder-chair of The Plurality Institute), and SFI Resident Professor Cristopher Moore (author of over 150 papers at the intersection of physics and computer science). In our conversation we discuss the case for a radically pluralistic approach, explore the links between plurality and quantum mechanics, and outline potential technological solutions to the “sense-making” problems of the 21st century.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. 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, including our upcoming program for Undergraduate Complexity Research, our new SFI Press book Ex Machina by John H. Miller, and an open postdoctoral fellowship in Belief Dynamics — 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 • LinkedInReferenced & Related WorksWhy I Am A Pluralistby Glen WeylReflecting on A Possible Quadratic Wormhole between Quantum Mechanics and Pluralityby Michael Freedman, Michal Fabinger, Glen WeylDecentralized Society: Finding Web3's Soulby Glen Weyl, Puja Ohlhaver, Vitalik ButerinAI is an Ideology, Not a Technologyby Glen Weyl & Jaron LanierHow Civic Technology Can Help Stop a Pandemicby Jaron Lanier & Glen WeylA Flexible Design for Funding Public Goodsby Vitalik Buterin, Zöe Hitzig, Glen WeylEquality of Power and Fair Public Decision-makingby Nicole Immorlica, Benjamin Plautt, Glen WeylScale and information-processing thresholds in Holocene social evolutionby Jaeweon Shin, Michael Holton Price, David Wolpert, Hajime Shimao, Brendan Tracey & Timothy Kohler Toward a Connected Societyby Danielle AllenThe role of directionality, heterogeneity and correlations in epidemic risk and spreadby Antoine Allard, Cris Moore, Samuel Scarpino, Benjamin Althouse, and Laurent Hébert-DufresneThe Generals' Scuttlebutt: Byzantine-Resilient Gossip Protocolsby Sandro Coretti, Aggelos Kiayias, Cristopher Moore, Alexander RussellEffective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulationby Alexander Mercier, Samuel Scarpino, and Cris MooreHow Accurate are Rebuttable Presumptions of Pretrial Dangerousness? A Natural Experiment from New Mexicoby Cris Moore, Elise Ferguson, Paul GuerinThe Uncertainty Principle: In an age of profound disagreements, mathematics shows us how to pursue truth togetherby Cris Moore & John KaagOn Becoming Aware: A pragmatics of experiencingby Nathalie Depraz, Francisco Varela, and Pierre VermerschThe Beginning of Infinity: Explanations That Transform The Worldby David Deutsch[Twitter thread on chess]by Vitalik ButerinLetter from Birmingham Jailby Martin Luther King, Jr.The End of History and The Last Manby Francis FukuyamaEnabling the Individual: Simmel, Dewey and “The Need for a Philosophy of Education”by H. KoenigEncyclical Letter Fratelli Tutti of The Holy Father Francis on Fraternity and Social Friendshipby Pope FrancisWhat can we know about that which we cannot even imagine?by David WolpertJ.C.R. Licklider (1, 2)Allison Duettman (re: existential hope)Evan Miyazono (re: Protocol Labs research)Intangible Capital (“an open access scientific journal that publishes theoretical or empirical peer-reviewed articles, which contribute to advance the understanding of phenomena related with all aspects of management and organizational behavior, approached from the perspectives of intellectual capital, strategic management, human resource management, applied psychology, education, IT, supply chain management, accounting…”)Polis (“a real-time system for gathering, analyzing and understanding what large groups of people think in their own words, enabled by advanced statistics and machine learning”)Related Complexity Podcast Episodes7 - Rajiv Sethi on Stereotypes, Crime, and The Pursuit of Justice51 - Cris Moore on Algorithmic Justice & The Physics of Inference55 - James Evans on Social Computing and Diversity by Design68 - W. Brian Arthur on Economics in Nouns and Verbs (Part 1)69 - W. Brian Arthur (Part 2) on "Prim Dreams of Order vs. Messy Vitality" in Economics, Math, and Physics82 - David Krakauer on Emergent Political Economies and A Science of Possibility (EPE 01)83 - Eric Beinhocker & Diane Coyle on Rethinking Economics for A Sustainable & Prosperous World (EPE 02)84 - Ricardo Hausmann & J. Doyne Farmer on Evolving Technologies & Market Ecologies (EPE 03)91 - Steven Teles & Rajiv Sethi on Jailbreaking The Captured Economy (EPE 04)

What makes us human?  Over the last several decades, the once-vast island of human exceptionalism has lost significant ground to wave upon wave of research revealing cognition, emotion, problem-solving, and tool-use in other organisms. But there remains a clear sense that humans stand apart — evidenced by our unique capacity to overrun the planet and remake it in our image. What is unique about the human mind, and how might we engage this question rigorously through the lens of neuroscience? How are our gifts of simulation and imagination different from those of other animals? And what, if anything, can we know of the “curiosity” of even larger systems in which we're embedded — the social superorganisms, ecosystems, technospheres within which we exist like neurons in the brain?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 conclude a two-part conversation with SFI External Professor John Krakauer, Professor of Neurology and Director of the Center for the Study of Motor Learning and Brain Repair at Johns Hopkins. In this episode, we talk about the nature of curiosity and learning, and whether the difference between the cognitive capacities and inner lifeworld of humans and other animals constitutes a matter of degree or one of kind…Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com  . 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. Please also note that we are now accepting applications for an open postdoc fellowship, next summer's undergraduate research program, and the next cohort of Complexity Explorer's course in the digital humanities. We welcome your submissions!Lastly, for more from John Krakauer, check out our new six-minute time-lapse of notes from the 2022 InterPlanetary Festival panel discussions on intelligence and the limits to human performance in space…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 • LinkedInReferenced in this episode:Prospective Learning: Back to the Futureby The Future Learning Collective (Joshua Vogelstein, et al.)The Learning Salon: Toward a new participatory scienceby Ida Momennejad, John Krakauer, Claire Sun, Eva Yezerets, Kanaka Rajan, Joshua Vogelstein, Brad WybleArtificial Intelligence Hits the Barrier of Meaningby Melanie Mitchell at The New York TimesEconomic Possibilities for our Grandchildrenby John Maynard KeynesThe Intelligent Life of the City Raccoonby Jude Isabella at Nautilus MagazineThe maintenance of vocal learning by gene-culture interaction: the cultural trap hypothesisby R. F. Lachlan and P. J. B. SlaterMindscape Podcast 87 - Karl Friston on Brains, Predictions, and Free Energyby Sean CarrollThe Apportionment of Human Diversityby Richard LewontinFrom Extraterrestrials to Animal Minds: Six Myths of Evolutionby Simon Conway MorrisI Am a Strange Loopby Douglas HoftstadterCoarse-graining as a downward causation mechanismby Jessica FlackDaniel DennettSusan BlackmoreRelated Episodes:Complexity 9 - Mirta Galesic on Social Learning & Decision-makingComplexity 12 - Matthew Jackson on Social & Economic NetworksComplexity 21 - Melanie Mitchell on Artificial Intelligence: What We Still Don't KnowComplexity 31 - Embracing Complexity for Systemic Interventions with David Krakauer (Transmission Series Ep. 5)Complexity 52 - Mark Moffett on Canopy Biology & The Human SwarmComplexity 55 - James Evans on Social Computing and Diversity by DesignComplexity 87 - Sara Walker on The Physics of Life and Planet-Scale IntelligenceComplexity 90 - Caleb Scharf on The Ascent of Information: Life in The Human DataomeComplexity 95 - John Krakauer Part 1: Taking Multiple Perspectives on The Brain

In our last episode with Tyler Marghetis, we learnt about how a complex system can tip from one state into another. But what happens when systems don't tip or fail? What makes a system robust? In today's episode, we're talking with Karoline Wiesner, a Professor of Complexity Science in the Department of Physics and Astronomy at the University of Potsdam, Germany. She breaks down the characteristics of a robust system, through the context of an incredibly robust complex system — the ant colony.   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.

What is complexity science, and why should you care about it? Well, complexity science is all about understanding the systems that are all around us — systems like the economy, your body, cities, companies, and the environment. To properly understand how these systems work, and how they fail, you need to understand complexity science. Because complexity science provides us with the underlying principles that govern these systems. In today's episode, we speak to David Krakauer, President and William H. Miller Professor of Complex Systems at the Santa Fe Institute. He explains the underlying principles of complex systems and what they have in common — even if they all seem completely unrelated. He also talks through the history of complexity science and provides his top three takeaways on how you can start to think about complex systems.   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.

Communication is a physical process. It's common sense that sending and receiving intelligible messages takes work…but how much work? The question of the relationship between energy, information, and matter is one of the deepest known to science. There appear to be limits to the rate at which communication between two systems can happen…but the search for a fundamental relationship between speed, error, and energy (among other things) promises insights far deeper than merely whether we can keep making faster internet devices. Strap in (and consider slowing down) for a broad and deep discussion on the bounds within which our entire universe must play…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 SFI Professor David Wolpert and MIT Physics PhD student Farita Tasnim, who have worked together over the last year on pioneering research into the nonlinear dynamics of communication channels. In this episode, we explore the history and ongoing evolution of information theory and coding theory, what the field of stochastic thermodynamics has to do with limits to human knowledge, and the role of noise in collective intelligence.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. 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, including a handful of open postdoctoral fellowships — at santafe.edu/engage.Lastly, this weekend — October 22nd & 23rd — is the return of our InterPlanetary Festival! Join our YouTube livestream for two full days of panel discussions, keynotes, and bleeding edge multimedia performances focusing   space exploration through the lens of complex systems science. The fun begins at 11 A.M. Mountain Time on Saturday and ends 6 P.M. Mountain Time on Sunday. Everything will be recorded and archived at the stream link in case you can't tune in for the live event. Learn more at interplanetaryfest.org…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 • LinkedInReferenced in this episode:Nonlinear thermodynamics of communication channelsby Farita Tasnim and David Wolpert (forthcoming at arXiv.org)Heterogeneity and Efficiency in the Brainby Vijay BalasubramanianNoisy Deductive Reasoning: How Humans Construct Math, and How Math Constructs Universesby David Wolpert & David KinneyStochastic Mathematical Systemsby David Wolpert & David KinneyTwenty-five years of nanoscale thermodynamicsby Chase P. Broedersz & Pierre RoncerayTen Questions about The Hard Limits of Human Intelligenceby David WolpertWhat can we know about that which we cannot even imagine?by David WolpertCommunication consumes 35 times more energy than computation in the human cortex, but both costs are needed to predict synapse numberby William Levy & Victoria CalvertAn exchange of letters on the role of noise in collective intelligenceby Daniel Kahneman, David Krakauer, Olivier Sibony, Cass Sunstein, David WolpertWhen Slower Is Fasterby Carlos Gershenson & Dirk HelbingAdditional Resources:The stochastic thermodynamics of computationby David WolpertElements of Information Theory, Second Edition (textbook)by Thomas Cover & Joy ThomasComputational Complexity: A Modern Approach (textbook)by Sanjeev Arora & Boaz BarakAn Introduction to Kolmogorov Complexity and Its Applications (textbook)by Ming Li & Paul Vitányi

What does it mean to be alive? Our origins are the horizon of our understanding, and as with the physical horizon, our approach brings us no closer. The more we learn, the more mysterious it all becomes. What if we're asking the wrong questions? Maybe life did not begin at all, but rather coalesced piecemeal, a set of properties contingent and convergent, plural, more than once? Maybe the origin of life is happening right now, just over the horizon, forming something new anew. Let's get into the weeds and see if we can find a continuity between biology and physics.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 Kate Adamala, synthetic biologist and professor at the University of Minnesota, about her research to produce synthetic minimal cells that are not technically alive but can perform myriad biological processes. Along the way the distant past and future meet. Can we build life? Or can we grow machines?Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. Note that applications are now open for our Complexity Postdoctoral Fellowships! 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 • LinkedInReferenced in this episode:Nonenzymatic Template-Directed RNA Synthesis Inside Model ProtocellsEngineering genetic circuit interactions within and between synthetic minimal cellsCompetition between model protocells driven by an encapsulated catalystSynthetic cells in biomedical applicationsParasites, infections and inoculation in synthetic minimal cellsBuild-a-Cell: Engineering a Synthetic Cell CommunityThe Andromeda Strain and the Meaning of Life: Monolith MonologuesSara Walker on The Physics of Life and Planet-Scale IntelligenceWhat Technology Wants by Kevin KellyMatthew Jackson on Social & Economic NetworksScott PageMind Children by Hans MoravecThe Multiple Paths to Multiple LifeMichael LachmannTerraforming the Biosphere by Ricard SoléScaling Laws & Social Networks in The Time of COVID-19 with Geoffrey West (Part 1)Red Queen

One way to frame the science of complexity is as a revelation of the hidden order under seemingly separate phenomena — a teasing-out of music from the noise of history and nature. This effort follows centuries of work to find the rules that structure language, music, and society. How strictly analogous are the patterns governing a symphony and those that describe a social transformation? Math and music are old friends, but new statistical and computational techniques afford the possibility of going even deeper. What fundamental insights — and what sounds — emerge by bringing physicists, composers, social scientists, data artists, and biologists 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 on Complexity, we sit with two of SFI's External Professors — Miguel Fuentes at the Argentine Society for Philosophical Analysis and the Institute of Complex Systems of Valparaiso, and Marco Buongiorno Nardelli at the University of North Texas — for a discussion that roams from their working group on the complexity of music, to fundamental questions about the nature of emergence, to how we might bring all of these ideas together to think about  social transformation as a kind of music in its own right.A show that spend so much time exploring sense and nonsense would hardly be complete without technical errors, so please accept our apologies for losing some of Miguel's backstory to a recording glitch. For this reason, be extra sure to check out our extensive show notes with links to all our references at complexity.simplecast.com.Note that applications are now open for our Complexity Postdoctoral Fellowships! 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 • LinkedInReferenced in this episode:An ‘integrated mess of music lovers in science'on the 2020 Music & Complexity SFI Working Group(with YouTube playlist of talks)Expanding our understanding of musical complexityon the 2022 Music & Complexity SFI Working GroupTopology of Networks in Generalized Musical Spacesby Marco Buongiorno NardelliTonal harmony and the topology of dynamical score networksby Marco Buongiorno Nardellia computer-aided data-driven composition environment for the sonification and dramatization of scientific data streamsby Marco Buongiorno NardelliMachines that listen: towards a machine listening model based on perceptual descriptorsby Marco Buongiorno Nardelli, Mitsuko Aramaki, Sølvi Ystad, and Richard Kronland-MartinetDoes network complexity help organize Babel's library?by Juan Pablo Cárdenas Iván González, Gerardo Vidal, and Miguel FuentesComplexity and the Emergence of Physical Propertiesby Miguel FuentesThe Structure of Online Information Behind Social Crisesby Juan Pablo Cárdenas, Gastón Olivares, Gerardo Vidal, Carolina Urbina and Miguel Fuentes88 - Aviv Bergman on The Evolution of Robustness and Integrating The DisciplinesComplexity Podcast86 - Dmitri Tymoczko on The Shape of Music: Mathematical Order in Western TonalityComplexity Podcast81 - C. Brandon Ogbunu on Epistasis & The Primacy of Context in Complex SystemsComplexity Podcast67 - Tyler Marghetis on Breakdowns & Breakthroughs: Critical Transitions in Jazz & MathematicsComplexity Podcast36 - Geoffrey West on Scaling, Open-Ended Growth, and Accelerating Crisis/Innovation Cycles: Transcendence or Collapse? (Part 2)Complexity Podcast27 - COVID-19 & Complex Time in Biology & Economics with David Krakauer (Transmission Series Ep. 2)Complexity PodcastIgnorance, Failure, Uncertainty, and the Optimism of Scienceby Stuart Firestein (SFI Community Lecture)SFI's Operating Principlesby Cormac McCarthy

As the old nut goes, “To the victor go the spoils.” But if each round of play consolidates the spoils into fewer hands, eventually it comes to pass that wealthy special interests twist the rules so much it undermines the game itself. When economic power overtakes the processes of democratic governance, growth stagnates, and the rift between the rich and poor becomes abyssal. Desperate times and desperate measures jeopardize the fabric of society. How might nonpartisan approaches to this wicked problem help us walk the system back into a healthy balance?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 on Complexity we speak with Steven Teles, political scientist at Johns Hopkins University and SFI External Professor Rajiv Sethi, Professor of Economics at Barnard College, Columbia University about how self-serving economic actors intervene in regulation to stifle innovation, increase inequality, and contribute to the conditions in which violence can flourish. Referencing Teles' aisle-crossing book The Captured Economy with co-author Brink Lindsey, we link the problem of regulatory capture in its myriad forms to Sethi's work on race, inequality, and crime, which we discussed in Episode 7 (Rajiv Sethi on Crime, Stereotypes, and The Pursuit of Justice). At the interface between the left and right, public and private, our guests shed light on the forces that divide — and may help reunite — the USA and other modern nations.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. Note that applications are now open for our Complexity Postdoctoral Fellowships! Tell a friend. And 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 • LinkedInMore on the Emergent Political Economies SFI Research Theme:SFI launches new research theme on emergent political economiesComplexity 82 - David Krakauer on Emergent Political Economies and A Science of Possibility (EPE 01)Complexity 83 - Eric Beinhocker & Diane Coyle on Rethinking Economics for A Sustainable & Prosperous World (EPE 02)Complexity 84 - Ricardo Hausmann & J. Doyne Farmer on Evolving Technologies & Market Ecologies (EPE 03)Referenced in (or related to) this episode:The Captured Economy: How The Powerful Enrich Themselves, Slow Down Growth, and Increase Inequalityby Brink Lindsey and Steven TelesShadows of Doubt: Stereotypes, Crime, and the Pursuit of Justiceby Brendan O'Flaherty and Rajiv SethiComplexity 19 - David B. Kinney on the Philosophy of ScienceCommon as Airby Lewis HydeSignalling architectures can prevent cancer evolutionby Leonardo Oña & Michael LachmannScaling of urban income inequality in the USAby Elisa Heinrich Mora, Cate Heine, Jacob J. Jackson, Geoffrey B. West, Vicky Chuqiao Yang and Christopher P. KempesCrime and Punishment in a Divided Societyby Rajiv SethiRajiv Sethi discusses gun violence, critical race theory, and bezzleson The Glenn Loury Show (video)(audio-only podcast link)The Gun Deal by Rajiv Sethi (Substack)Rajiv Sethi reviews Boldrin/Levine's Against Intellectual MonopolySteven Teles and Brink Lindsey on EconTalk with Russ RobertsIs Nothing Sacred? Rajiv Sethi on Salman Rushdie (Substack)Rajiv Sethi with Bari Weiss and David French on gun violenceRajiv Sethi on James Tobin's Hirsch Lecture on Functional Inefficiency in Finance (Substack)

She starts by introducing her extensive and interesting background and what Pathway is working on. She then goes on to talk about the impact of IoT in the supply chain and handling costs for companies looking to adopt it. Ryan and Zuzanna wrap up the podcast with a high-level discussion about the evolution of challenges and advice for choosing the right technology for your business. Zuzanna is the CEO of Pathway, a game-changing Dev Tool for enterprise clients, enabling real-time machine learning on live event streams. Pathway develops a Database that Thinks™, which provides a unified source of truth from raw data in logistics and other industries. Zuzanna is the author of the state-of-the-art model for forecasting maritime trade published by the American Academy of Sciences (single-author, pre-PhD). While working on this project, she saw the mismatch between the business needs, the reality of the data in logistics, and the current ML and AI methods - this was the spark to launch Pathway. During her career, she was responsible for sales of SaaS technology underlying Spoj.com. She holds a Master's degree in Economics and Public Policy from Sciences Po, Ecole Polytechnique, and ENSAE, as well as a Ph.D. in Complexity Science. Pathway develops a Database that Thinks. A game-changing Dev Tool for enterprise clients, enabling real-time machine learning on live event streams. Pathway provides a unified source of truth from raw data in logistics and other industries. Their product provides application developers with a capacity for real-time incremental in-memory transformation of complex event streams. Pathway is a female-led, deeptech developer tool company. It was started by top people in data processing and AI. Pathway's CTO, Jan Chorowski, previously worked at Google Brain, and most of the team members are top-competitive programmers. Their mission is to significantly impact the physical economy by bringing automation, scalability, and repeatability to industries that are having a hard time capitalizing on the advances in AI.

Human beings are distinctly weird. We live for a very long time after we stop reproducing, move completely differently than all of our closest relatives, lack the power of chimpanzees and other primates but completely outdo most other terrestrial mammals in a contest of endurance. If we think about bodies as hypotheses about the stable features of their ancestral environments, what do the features of our unusual physiology say about what humans ARE, where we come from, the details of our origin story as a profoundly successful species? And what can we learn by telescoping that story forward to explain some of the most persistent puzzles and paradoxes about our health, the way we age, our need for physical exercise, and our nearly ubiquitous aversion to habits that are good for us?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 sprint into the paleoanthropology, biomechanics, and physiology of exercise with Harvard evolutionary biologist Daniel Lieberman, author of several books including Exercised, The Story of the Human Body, and The Evolution of the Human Head. In our rapid-fire discussion we explore how millions of years as hunter-gatherers equipped hominids with a unique package of adaptations for endurance running, why exercise is so good for us but so generally undesirable, and how physical activity in old age helped shape us into the strongly intergenerational social apes we are today.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. Note that applications are now open for our 2023 Complexity Postdoctoral Fellowships! Tell a friend. And 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 and other resources:SFI Colloquium & Twitter thread on Daniel Lieberman's “Active Grandparent Hypothesis”The evolution of human fatigue resistanceby Frank E. Marino, Benjamin E. Sibson, Daniel E. Lieberman "What beer and running taught me about the scientific process"Seminar by SFI Journalism Fellow Christie AschwandenEndurance running and the evolution of Homoby Dennis Bramble & Daniel Lieberman in NatureSFI Professor David Wolpert & the thermodynamics of computationComplexity 64 - Reconstructing Ancient Superhighways with Stefani Crabtree and Devin White3100: Run and Become (Documentary Film)Why run unless something is chasing you?by Daniel Lieberman at The Harvard GazetteHate Working Out? Blame Evolutionby Daniel LIeberman at The New York TimesThe Aging of Wolff's “Law”: Ontogeny and Responses to Mechanical Loading in Cortical Boneby Osbjorn Pearson & DanielL LiebermanEffects of footwear cushioning on leg and longitudinal arch stiffness during runningby Nicholas B.Holowkaab, Stephen M.Gillinovac, EmmanuelVirot, Daniel E.Lieberman

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

Daniel Friedman is an original Curio Cards Artist who created cards #24-#26, which are known as some of the rarest and most valuable Curio Cards in existence.      Daniel is a postdoctoral human in Davis, California. His primary academic research, with Prof. Brian Johnson (UCD) and Prof. Tim Linksvayer (Texas Tech), is related to distributed physiology and evolutionary genomics in the eusocial insects. With groups such as COGSEC I am also researching cognitive security and online communities of practice. I am involved in Complexity Science through Complexity Weekend, and previously, the Stanford Complexity Group. Two areas where I consult in are remote work (Remotor Consulting Group) and predictive asset modeling (FM Analytics). ​     In 2019 he completed my Ph.D. in Ecology & Evolution at Stanford University, studying the neurophysiology of collective behavior in ants with Prof. Deborah Gordon. While an undergraduate at UC Davis, I worked on Drosophila genetics with Prof. Artyom Kopp.    He is fascinated by visual patterns where most of his art is freehand drawn (mostly during classes - thank you, patient teachers) with ink on paper. From ~2008 till 11/2014 he only did black & white. Since 11/2014 he's been adding some colors, though mainly just red. |DanielFriedman| • Twitter → https://twitter.com/InferenceActive• Website → https://curio.cards/|CONNECT WITH JAKE|• Instagram → https://www.instagram.com/jakegallen/• Twitter → https://twitter.com/jakegallen_• Facebook → https://www.facebook.com/JakeNGallen• Linkedin →  https://www.linkedin.com/in/jake-gall...|FOLLOW AND SUBSCRIBE THE PODCAST|• Website → https://www.jakegallen.com/• Youtube → Subscribe to this page• Apple Podcasts → https://podcasts.apple.com/us/podcast...• Spotify → https://open.spotify.com/show/7hQdRAz...• Google Podcasts → https://podcasts.google.com/?feed=aHR...• RSS Feed → https://feeds.buzzsprout.com/1005154.rss• Website → https://solo.to/theguestlistpod• Media Host → https://theguestlistpod.buzzsprout.com/

What is life, and where does it come from? These are two of the deepest, most vexing, and persistent questions in science, and their enduring mystery and allure is complicated by the fact that scientists approach them from a myriad of different angles, hard to reconcile. Whatever else one might identify as universal features of all living systems, most scholars would agree life is a physical phenomenon unfolding in time. And yet current physics is notorious for its inadequacy with respect to time. Life appears to hinge on information transfer — but, again, what do we mean by “information,” and what it is relationship to energy and matter? If humankind can't settle fundamental issues with these theoretical investigations, we might be missing other kinds of life (and mind) — not just in outer space, but here on Earth, right beneath our noses. But new models that suggest a vastly wider definition of life offer hope that we might — soon! — not only learn to recognize the biospheres and technospheres of other living worlds, but notice other “aliens” at home, and even find our place amidst a living cosmos.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 on the show, we speak with SFI External Professor Sara Walker (Twitter, Google Scholar), Deputy Director of The Beyond Center at ASU, where she acts as Associate Professor in half a dozen different programs. In this conversation, we discuss her pioneering research in the origins of life and the profound and diverse implications of Assembly Theory — a new kind of physics she's developing with chemist Leroy Cronin and a team of SFI and NASA scholars.  Sara likes to speculate out loud in public conversation, so strap in for an unusually enthusiastic, animated, and free-roaming conversation at the very bleeding edge of science. And be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com.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:Intelligence as a planetary scale processby Adam Frank, David Grinspoon & Sara WalkerThe Algorithmic Origins of Lifeby Sara Imari Walker & Paul C. W. DaviesBeyond prebiotic chemistry: What dynamic network properties allow the emergence of life?by Leroy Cronin & Sara WalkerIdentifying molecules as biosignatures with assembly theory and mass spectrometryby Stuart Marshall, Cole Mathis, Emma Carrick, Graham Keenan, Geoffrey Cooper, Heather Graham, Matthew Craven, Piotr Gromski, Douglas Moore, Sara Walker & Leroy CroninAssembly Theory Explains and Quantifies the Emergence of Selection and Evolutionby Abhishek Sharma, Dániel Czégel, Michael Lachmann, Christopher Kempes, Sara Walker, Leroy CroninQuantum Non-Barking Dogsby Sara Imari Walker, Paul C. W. Davies, Prasant Samantray, Yakir AharonovThe Multiple Paths to Multiple Lifeby Christopher P. Kempes & David C. Krakauer Other Related Videos & Writing:SFI Seminar - Why Black Holes Eat Informationby Vijay BalasubramanianMajor Transitions in Planetary Evolutionby Hikaru Furukawa and Sara Imari Walker2022 Community Lecture: “Recognizing The Alien in Us”by Sara WalkerSara Walker and Lee Cronin: The Alien Debateon The Lex Fridman ShowIf Cancer Were Easy, Every Cell Would Do ItSFI Press Release on work by Michael LachmannThe Ministry for The Futureby Kim Stanley RobinsonRe: Wheeler's delayed choice experimentWikipediaOn the SFI “Exploring Life's Origins” Research ProjectComplexity Explorer's Origins of Life Free Open Online CourseChiara Marletto on Constructor TheorySimon Saunders, Philosopher of Physics at OxfordRelated SFI Podcast Episodes:Complexity 2 - The Origins of Life: David Krakauer, Sarah Maurer, and Chris Kempes at InterPlanetary Festival 2019Complexity 8 - Olivia Judson on Major Energy Transitions in Evolutionary HistoryComplexity 17 - Chris Kempes on The Physical Constraints on Life & EvolutionComplexity 40 - The Information Theory of Biology & Origins of Life with Sara Imari Walker (Big Biology Podcast Crossover)Complexity 41 - Natalie Grefenstette on Agnostic Biosignature DetectionComplexity 68 - W. Brian Arthur on Economics in Nouns & Verbs (Part 1)Complexity 80 - Mingzhen Lu on The Evolution of Root Systems & Biogeochemical CyclingAlien Crash Site 015 - Cole MathisAlien Crash Site 019 - Heather GrahamAlien Crash Site 020 - Chris KempesAlien Crash Site 021 - Natalie Grefenstette

Math and music share their mystery and magic. Three notes, played together, make a chord whose properties could not be predicted from those of the separate notes. In the West, music theory and mathematics have common origins and a rich history of shaping and informing one another's field of inquiry. And, curiously, Western composition has evolved over several hundred years in much the same way economies and agents in long-running simulations have: becoming measurably more complex; encoding more and more environmental structure. (But then, sometimes collapses happen, and everything gets simpler.) Music theorists, like the alchemists that came before them, are engaged in a centuries-long project of deciphering the invisible geometry of these relationships. What is the hidden grammar that connects The Beatles to Johann Sebastian Bach — and how similar is it to the hidden order disclosed by complex systems science? In other words, what makes for “good” music, and what does it have to do with the coherence of the natural world?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 on the show, we speak with mathematician and composer Dmitri Tymozcko at Princeton University, whose work provides a new rigor to the study of the Western canon and illuminates “the shape of music” — a hyperspatial object from which all works of baroque, classical, romantic, modern, jazz, and pop are all low-dimensional projections. In the first conversation for this podcast with MIDI keyboard accompaniment, we follow upon Gottfried Leibniz's assertion that music is “the unconscious exercise of our mathematical powers.” We explore how melodies and harmonies move through mathematical space in ways quite like the metamorphoses of living systems as they traverse evolutionary fitness landscapes. We examine the application of information theory to chord categorization and functional harmony. And we ask about the nature of randomness, the roles of parsimony and consilience in both art and life.If you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts, and consider making a donation — or finding other ways to engage with us — at santafe.edu/engage. You can find the complete show notes for every episode, with transcripts and links to cited works, at complexity.simplecast.com.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 • LinkedInMentions and additional resources:All of Tymoczko's writings mentioned in this conversation can be found on his Princeton.edu websiteYou can explore his interactive music software at MadMusicalScience.comThe Geometry of Musical Chordsby Dmitri TymoczkoAn Information Theoretic Approach to Chord Categorization and Functional Harmonyby Nori Jacoby, Naftali Tishby and Dmitri TymoczkoThis Mathematical Song of the Emotionsby Dmitri TymoczkoThe Sound of Philosophyby Dmitri TymoczkoSelect Tymoczko Video Lectures:Spacious Spatiality (SEMF) 2022The Quadruple HierarchyThe Shape of Music (2014)On the 2020 SFI Music & Complexity Working Group (with a link to the entire video playlist of public presentations).On the 2022 SFI Music & Complexity Working GroupFoundations and Applications of Humanities Analytics Institute at SFIShort explainer animation on SFI Professor Sidney Redner's work on “Sleeping Beauties of Science”The evolution of syntactic communicationby Martin Nowak, Joshua Plotkin, Vincent JansenThe Majesty of Music and Math (PBS special with SFI's Cris Moore)The physical limits of communicationby Michael Lachmann, Mark Newman, Cristopher MooreSupertheories and Consilience from Alchemy to ElectromagnetismSFI Seminar by Simon DeDeoWill brains or algorithms rule the kingdom of science?by David Krakauer at Aeon MagazineScaling, Mirror Symmetries and Musical Consonances Among the Distances of the Planets of the Solar Systemby Michael Bank and Nicola Scafetta“The reward system for people who do a really wonderful job of extracting knowledge and understanding and wisdom…is skewed in the wrong way. If left to the so-called free market, it's mainly skewed toward entertainment or something that's narrowly utilitarian for some business firm or set of business firms.”– Murray Gell-Mann, A Crude Look at The Whole Part 180/200 (1997)Related Episodes:Complexity 81 - C. Brandon Ogbunu on Epistasis & The Primacy of Context in Complex SystemsComplexity 72 - Simon DeDeo on Good Explanations & Diseases of EpistemologyComplexity 70 - Lauren F. Klein on Data Feminism: Surfacing Invisible LaborComplexity 67 - Tyler Marghetis on Breakdowns & Breakthroughs: Critical Transitions in Jazz & MathematicsComplexity 46 - Helena Miton on Cultural Evolution in Music and Writing SystemsComplexity 29 - On Coronavirus, Crisis, and Creative Opportunity with David Krakauer

In the digital era, data is practically the air we breathe. So why does everybody treat it like a product to be hoarded and sold at profit? How would our world change if Big Tech operated on assumptions and incentives more aligned with the needs of a healthy society? Are more data — or are bigger models — really better? As human beings scamper around like prehistoric mammals under the proverbial feet of the new enormous digital monopolies that have emerged due to the Web's economies of scale, how might we tip the scales back to a world governed wisely by human judgment and networks of trust? Would Facebook and Twitter be more beneficial for society if they were public services like the BBC? And how do we settle on the social norms that help ensure the ethical deployment of A.I.? These and many other questions grow from the boundary-challenging developments of rapid innovation that define our century — a world in which the familiar dyads of state and market, public and private, individual and institutional are all called into question.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 on Complexity, we speak with two researchers helping to rethink political economy:SFI External Professor Eric Beinhocker is the Professor of Public Policy Practice at the University of Oxford, and founder and Executive Director of the Institute for New Economic Thinking at the University's Oxford Martin School. He is also the author of The Origin of Wealth: The Radical Remaking of Economics and What It Means for Business and Society.Diane Coyle is the Bennett Professor of Public Policy at the University of Cambridge, and co-director of the Bennett Institute, whose latest book — Cogs and Monsters: What Economics Is, and What It Should Be— was published by Princeton University Press last fall.In the first episode of this subseries, we spoke with SFI President David Krakauer about how the study of political economy has changed over the last two hundred years due to the innovation of new mathematical and computational methods.  In this episode, we examine how the technological milieu that empowered these changes has also transformed the subject of study itself:  digital surveillance architecture, social media networks, big data, and (largely inadequate) attempts to formalize econometrics have all had a profound impact on modern life. In what ways do new institutions beget even newer institutions to address their unintended consequences? How should we think about the complex relationships between private and public agencies, and what status should we give the data they produce and consume? What is it going to take to restore the trust in one another necessary for society to remain coherent, and what are the most important measures to help economists and policymakers navigate the turbulence of our times into a more inclusive, prosperous, and sustainable world?Subscribe to Complexity Podcast for upcoming episodes with an acclaimed line-up of scholars including Ricardo Hausmann, Doyne Farmer, Steven Teles, Rajiv Sethi, Jenna Bednar, Tom Ginsburg, Niall Ferguson, Neal Stephenson, Paul Smaldino, C. Thi Nguyen, John Kay, John Geneakoplos, and many more to be announced…If you value our research and communication efforts, please rate and review us at Apple Podcasts, and consider making a donation — or finding other ways to engage with us — at santafe.edu/engage. You can find the complete show notes for every episode, with transcripts and links to cited works, at complexity.simplecast.com.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 • LinkedInMentions and additional resources:Toward a New Ontological Framework for the Economic Goodby Eric D. BeinhockerComplexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposiumedited by W. Brian Arthur, Eric Beinhocker, Allison StangerSocializing Databy Diane CoyleThe Public Optionby Diane CoyleCommon as Air: Revolution, Art, and Ownershipby Lewis HydePitchfork Economicsby Nick HanauerThe Nature of Technology: What It Is and How It Evolvesby W. Brian ArthurGeoffrey West on Complexity 35Will A Large Complex System Be Stable?by Robert MayBlockchain: Trust Companies: Every Company Is at Risk of Being Disrupted by A Trusted Version of Itselfby Richie EtwaruHelena Miton on Complexity 46The coming battle for the COVID-19 narrativeby Sam Bowles, Wendy CarlinRecoupling Economic and Social Prosperityby Katharina Lima de Miranda, Dennis J. SnowerSignalling architectures can prevent cancer evolutionby Leonardo Oña & Michael LachmannWhy we should have a public option version of Google and Facebook (response to Diane Coyle)by James PethokoukisBryant Walker Smith on Complexity 79“Premature optimization is the root of all evil."— Donald Knuth

The world is unfair — but how much of that unfairness is inevitable, and how much is just contingency? After centuries of efforts to arrive at formal theories of history, society, and economics, most of us still believe and act on what amounts to myth. Our predecessors can't be faulted for their lack of data, but in 2022 we have superior resources we're only starting to appreciate and use. In honor of the Santa Fe Institute's new role as the hub of an international research network exploring Emergent Political Economies, we dedicate this new sub-series of Complexity Podcast to conversations on money, power, governance, and justice. Subscribe for a new stream of dialogues and trialogues between SFI's own diverse scholastic community and other acclaimed political economists, historians, and authors of speculative fiction.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.In this episode, we talk with SFI President David Krakauer about the goals of this research theme and what SFI brings to the table. We discuss the legacy of long-standing challenges to quantitative history and mathematical economics, how SFI thinks differently about these topics, and a brief outline of the major angles we'll explore in this sub-series over the next year-plus — including the roles of dimension, causality, algorithms, scaling, innovation, emergence, and more.Subscribe to Complexity Podcast for upcoming episodes with an acclaimed line-up of scholars including Diane Coyle, Eric Beinhocker, Ricardo Hausmann, Doyne Farmer, Steven Teles, Rajiv Sethi, Jenna Bednar, Tom Ginsburg, Niall Ferguson, Neal Stephenson, Paul Smaldino, C. Thi Nguyen, John Kay, John Geneakoplos, and many more to be announced…If you value our research and communication efforts, please subscribe to Complexity Podcast wherever you prefer to listen, rate and review us at Apple Podcasts, and consider making a donation — or finding other ways to engage with us — at santafe.edu/engage. You can find the complete show notes for every episode, with transcripts and links to cited works, at complexity.simplecast.com.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 • LinkedInMentions and additional resources:Emergent Political Economies and A Science of Possibilityby David Krakauer for SFI Parallax Newsletter, Spring 2022 EditionPolicing stabilizes construction of social niches in primatesby Jessica Flack, Michelle Girvan, Frans de Waal, and David Krakauer in NatureConflicts of interest improve collective computation of adaptive social structuresby Eleanor Brush, David Krakauer, and Jessica Flack in Science AdvancesThe Star Gazer and the Flesh Eater: Elements of a Theory of Metahistoryby David C. Krakauer in History, Big History, and Metahistory at SFI PressThe Cultural Evolution of National Constitutionsby Daniel Rockmore, Chen Fang, Nick Foti, Tom Ginsburg, & David Krakauer in SSRNScaling of Hunter-Gatherer Camp Size and Human Socialityby José Lobo, Todd Whitelaw, Luís M. A. Bettencourt, Polly Wiessner, Michael E. Smith, & Scott Ortman in Current AnthropologyW. Brian Arthur on Complexity Podcast (eps. 13, 14, 68, 69)Reflections on COVID-19 with David Krakauer & Geoffrey West (Complexity Podcast)The Dawn of Everythingby David Graeber and David Wengrow at Macmillan PublishersMitch Waldrop speaks on the history of SFI (Twitter excerpts)The Hedgehog and the Foxby Isaiah BerlinWar and Peaceby Leo TolstoyOn the Application of Mathematics to Political Economyby F. Y. Edgeworth in Journal of the Royal Statistical SocietyHow Economics Became A Mathematical Scienceby E. Roy Weintraub at Duke University PressMachine Dreamsby Philip Mirowski at Cambridge University PressAll Watched Over by Machines of Loving Grace (TV series)by Adam Curtis for BBCCan't Get You Out of My Head (TV series)by Adam Curtis for BBCThe Collective Computation Group at SFISeeing Like A Stateby James. C Scott at Yale BooksUncertain timesby Jessica Flack and Melanie Mitchell at AeonAt the limits of thoughtby David Krakauer at AeonPreventative Citizen-Based Medicineby David Krakauer for the SFI Transmissions: Reflections seriesThe uncertainty paradox. Can science make uncertainty optimistic?by Stuart Firestein (SFI Seminar)

Context is king: whether in language, ecology, culture, history, economics, or chemistry. One of the core teachings of complexity science is that nothing exists in isolation — especially when it comes to systems in which learning, memory, or emergent behaviors play a part. Even though this (paradoxically) limits the universality of scientific claims, it also lets us draw analogies between the context-dependency of one phenomenon and others: how protein folding shapes HIV evolution is meaningfully like the way that growing up in a specific neighborhood shapes educational and economic opportunity; the paths through a space of all possible four-letter words are constrained in ways very similar to how interactions between microbes impact gut health; how we make sense both depends on how we've learned and places bounds on what we're capable of seeing.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 on Complexity, we talk to Yale evolutionary biologist C. Brandon Ogbunu (Twitter, Google Scholar, GitHub) about the importance of environment to the activity and outcomes of complex systems — the value of surprise, the constraints of history, the virtue and challenge of great communication, and much more. Our conversation touches on everything from using word games to teach core concepts in evolutionary theory, to the ways that protein quality control co-determines the ability of pathogens to evade eradication, to the relationship between human artists, algorithms, and regulation in the 21st Century. Brandon works not just in multiple scientific domains but as the author of a number of high-profile blogs exploring the intersection of science and culture — and his boundaryless fluency shines through in a discussion that will not be contained, about some of the biggest questions and discoveries of our time.If you value our research and communication efforts, please subscribe to Complexity Podcast wherever you prefer to listen, rate and review us at Apple Podcasts, and/or consider making a donation at santafe.edu/give. You'll find plenty of 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 • LinkedInDiscussed in this episode:“I do my science biographically…I find a personal connection to the essence of the question.”– C. Brandon Ogbunugafor on RadioLab"Environment x everything interactions: From evolution to epidemics and beyond"Brandon's February 2022 SFI Seminar (YouTube Video + Live Twitter Coverage)“A Reflection on 50 Years of John Maynard Smith's ‘Protein Space'”C. Brandon Ogbunugafor in GENETICS“Collective Computing: Learning from Nature”David Krakauer presenting at the Foresight Institute in 2021 (with reference to Rubik's Cube research)“Optimal Policies Tend to Seek Power”Alexander Matt Turner, Logan Smith, Rohin Shah, Andrew Critch, Prasad Tadepalli in arXiv“A New Take on John Maynard Smith's Concept of Protein Space for Understanding Molecular Evolution”C. Brandon Ogbunugafor, Daniel Hartl in PLOS Computational Biology“The 300 Most Common Words”by Bruce Sterling“The Host Cell's Endoplasmic Reticulum Proteostasis Network Profoundly Shapes the Protein Sequence Space Accessible to HIV Envelope”Jimin Yoon, Emmanuel E. Nekongo, Jessica E. Patrick, Angela M. Phillips, Anna I. Ponomarenko, Samuel J. Hendel, Vincent L. Butty, C. Brandon Ogbunugafor, Yu-Shan Lin, Matthew D. Shoulders in bioRxiv“Competition along trajectories governs adaptation rates towards antimicrobial resistance”C. Brandon Ogbunugafor, Margaret J. Eppstein in Nature Ecology & Evolution“Scientists Need to Admit What They Got Wrong About COVID”C. Brandon Ogbunugafor in WIRED“Deconstructing higher-order interactions in the microbiota: A theoretical examination”Yitbarek Senay, Guittar John, Sarah A. Knutie, C. Brandon Ogbunugafor in bioRxiv“What Makes an Artist in the Age of Algorithms?”C. Brandon Ogbunugafor in WIREDNot mentioned in this episode but still worth exploring:“Part of what I was getting after with Blackness had to do with authoring ideas that are edgy or potentially threatening. That as a scientist, you can generate ideas in the name of research, in the name of breaking new ground, that may stigmatize you. That may kick you out of the club, so to speak, because you're not necessarily following the herd.”– Physicist Stephon Alexander in an interview with Brandon at Andscape“How Afrofuturism Can Help The World Mend”C. Brandon Ogbunugafor in WIRED“The COVID-19 pandemic amplified long-standing racial disparities in the United States criminal justice system”Brennan Klein, C. Brandon Ogbunugafor, Benjamin J. Schafer, Zarana Bhadricha, Preeti Kori, Jim Sheldon, Nitish Kaza, Emily A. Wang, Tina Eliassi-Rad, Samuel V. Scarpino, Elizabeth Hinton in medRxivAlso mentioned:Simon Conway Morris, Geoffrey West, Samuel Scarpino, Rick & Morty, Stuart Kauffman, Frank Salisbury, Stephen Jay Gould, Frances Arnold, John Vervaeke, Andreas Wagner, Jennifer Dunne, James Evans, Carl Bergstrom, Jevin West, Henry Gee, Eugene Shakhnovich, Rafael Guerrero, Gregory Bateson, Simon DeDeo, James Clerk Maxwell, Melanie Moses, Kathy Powers, Sara Walker, Michael Lachmann, and many others...

In this episode, John R. Miles interviews Welch management consultant and researcher David "Dave" Snowden on applying complexity science to ignite your passion. They discuss complex adaptive systems theory and other scientific disciplines and their link to individual success. New Interviews with the World's GREATEST high achievers will be posted every Tuesday with a Momentum Friday inspirational message! Dave Snowden discusses his company being acquired by IBM and his seven years with the tech behemoth. He talks about one of the big benefits of IBM was that you could do some really serious work because you have that brand behind you. It allowed him to work with the CIA and many other global organizations and he discusses those experiences.  Dave discusses how he and his team are working with the U.S. government to determine the origins of COVID-19 using high obstruction metadata. John and Dave discuss leadership development and the cult of the individual leader. Specifically why this type of leadership is detrimental to the military and organizations. Snowden discusses the impact of bringing on his daughter into his company and her background in anthropology to create a new realm of science called anthro-complexity – complexity as experienced in human systems. We discuss leadership development and the cult of the individual leader. Specifically why this type of leadership is detrimental to the military and organizations. The importance of competence-induced failure and its impact on individual success and using Cynefin to unlock your passion. And, so much more. Enjoy!!! What You Will Learn About Applying Complexity Science to Ignite Your Passion The story of his company being acquired by IBM His work with the CIA and Admiral John Poindexter His unique data approach to analyzing the origins of COVID-19 Applying complexity theory to leadership development His new publication on managing complexity in times of crisis The role of the leader in managing crisis Rapid application development and the Agile Manifesto The implication of ethics in the 4th Industrial Revolution Clayton Christenson and applying competence induced failure Wisdom of Crowds Approach Applying Cynefin to our personal lives Why the next generation needs to be engaged with the planet Quotes From Dave Snowden "The role of the leader is coordination, not decision making. And people keep getting that wrong. A good leader never makes a decision, they coordinate people."   "These days nobody should be allowed into any engineering software role without training in ethics because the implications of what we're doing in technology are really scary. And I think the trouble with Facebook, I think less Apple with the Apple vs Facebook confrontation is really interesting. Facebook, has never been immoral, they're amoral. And that's actually far scarier because they're not concerned about the implications of what they're doing."   "Knowledge management is interesting, that moment is coming back into play. It is like knowledge management goes through this cycle of being fashionable."   "So this cult of the individual leader, I think is actually deeply worrying because what you get is either a rigid process or this inspirational leader. And that's actually really bad science because most of the time leadership can be distributed." "Facebook has never been immoral, they're amoral. And that's actually far scarier because they're not concerned about the implications of what they're doing."    --- Follow Dave Snowden here:   LinkedIn: https://www.linkedin.com/in/dave-snowden-2a93b/   Twitter: https://twitter.com/snowded   Website: https://www.cognitive-edge.com/   Managing complexity in times of crisis Field Guide: https://publications.jrc.ec.europa.eu/repository/handle/JRC123629   --Follow Passion Struck on Instagram -https://www.instagram.com/passion_struck_podcast   -- Combat veteran, multi-industry CEO, and Author John R. Miles is on a mission to make passion go viral by helping growth seekers to overcome their fear, self-doubt, and adversity. He loves taking his own life experiences, lessons from his time as a CEO and Fortune 50 C-Level Executive, and the truths he has learned to help make other's lives better. His new podcast Passion Struck provides inspirational interviews and powerful guidance for people to take their lives to the next level. Watch as these high achievers weigh in on life's biggest questions and challenges as we journey on the path to becoming passion-struck.   -- Follow John R. Miles Here:   Website - https://passionstruck.com/​   ​​Instagram: https://www.instagram.com/john_r_miles ​​   Facebook: https://www.facebook.com/Johnrmiles.c0m​ ​   Twitter: https://twitter.com/Milesjohnr​   ​​Medium: https://medium.com/@JohnRMiles​ ​   John's Website: https://johnrmiles.com/​   - John's New eBook - The Passion Struck Framework https://passionstruck.com/coaching/​