Podcast appearances and mentions of simon dedeo

Few concepts are more important to our society than resilience. Agnostic of domain, of nation, culture, and scale (as vital, indeed, to the individual life as to the planetary civilization), it would be impossible to overstate the pressure on us to understand it. If resilience is a core competency of our time, it would not be hyperbole to say that Dr. David Woods one of our most important thinkers. Origins Podcast WebsiteFlourishing Commons NewsletterShow Notes:three mile island (07:20)resilience engineering (12:30)the theory of graceful extensibility (12:30)The Risk Society by Ulrich Beck (13:10)how do you know? (14:00)scientific revolutions and paradigm shifts (15:00)retrenchment vs revitalization (16:00)the novelty inequality (28:00)Simon DeDeo on Origins (28:30)Mars Climate Orbiter report (31:00)'faster, better, cheaper' pressure (32:00)Erik Hollnagle and Efficiency-Thoroughness Trade-Off principle (33:30)graceful extensibility (36:20)Douglas Hofstadter and strange loops (41:00)SNAFU catchers (42:00)dialectic between the individual and collective (44:00)Arnold Toynbee (45:00)multi-hazards and changing climate (52:20)John Doyle (54:00)Elinor Ostrom and reciprocity (54:20)Lightning Round (01:01:30):Book: Gödel, Escher, Bach by Douglas HofstadterPassion: History and Atlas of Great Lakes Indian History by Helen Hornbeck TannerHeart sing: graceful extensibility and resilience engineering video seriesScrewed up: building interfaces to the knowledge of resilienceFind David online:Ohio State University siteLogo artwork by Cristina GonzalezMusic by swelo on all streaming platforms or @swelomusic on social media

Simon DeDeo's inquiry takes on the most immense topics: astrophysics, history, epistemology, culture. He brings the precision of a physicist, the capability of a data scientist, and the sensibility of a philosopher to thinking about how we live our lives; and his polymathic life might be the example we need to make sense of the world we are walking into, one requiring an evolution to our way of studying and understanding.Origins Podcast WebsiteFlourishing Commons NewsletterShow Notes:David Spergel (08:40)The Santa Fe Institute (14:10)The Village Vanguard in New York City (16:30)The Applicability of Mathematics as a Philosophical Problem by Mark Steiner (24:30)Murray Gell-Mann (25:00)"The Unreasonable Effectiveness of Mathematics in the Natural Sciences" by Eugene Wigner (26:00)"The civilizing process in London's Old Bailey" Klingenstein et al (27:30)Michael Tomasello (31:50)Michael Palmer "Lies of the Poem" (34:50)Phenomenology of Spirit by Hegel (37:20)Gregory Bateson "Where is the mind?" (40:20)The CANDOR corpus (42:50)Judith Donath on Origins (48:10)Marshall McLuhan (49:00)Science of Science (49:10)"New and atypical combinations: An assessment of novelty and interdisciplinarity" (49:10)Helen Vendler (51:20)The Anxiety of Influenceby Harold Bloom (53:00)C Thi Nguyen on Origins (57:00)The Scientific Landscape of Human Flourishing (58:00)eudaimonia (58:30)thumos (59:00)Lightning Round (01:04:50)Book: American Pastoral by Philip Roth Passion: exerciseHeart sing: narrativeScrewed up: teaching and mentoringFind Simon online:WebsiteLogo artwork by Cristina GonzalezMusic by swelo on all streaming platforms or @swelomusic on social media

Jim talks with Simon DeDeo about their wager concerning the likelihood of civil violence and mass killings in America in the next decade. They discuss the terms of the wager, the appropriate orders of magnitude, Alex Garland's Civil War, the American readiness to use violence, honor cultures, the movement from violence to political violence, industrial mass murder, polarization, the one-dimensionality of current elites, basins of attraction, statistical distributions of violence, Rene Girard's theory of mimetic desire, measuring political distance, the constant motion of contemporary American political views, tribalization around red-blue politics, door-holding & just-so stories, sexual signaling, the unreality of woke debates, accumulating factors that could lead to a brushfire, gun rights, the dilettantism of extremist groups, 3 specific scenarios of inciting conflicts, making sense of a post-ideological world, the question of who rules, and much more. Episode Transcript JRS EP 1 - Simon DeDeo on the Evolution of Consciousness JRS Currents 001: Simon DeDeo on University Censorship JRS Currents 028: Simon DeDeo on Explaining Explanation JRS EP 202 - Neil Howe on the Fourth Turning JRS EP 190 - Peter Turchin on Cliodynamics and End Times JRS EP 104 - Joe Henrich on WEIRD People JRS EP 230 - James Lindsay on a National Divorce JRS Currents 058: John Robb on Russia-Ukraine Outcomes Simon DeDeo is an Assistant Professor at Carnegie Mellon University in the Department of Social and Decision Sciences, and External Professor at the Santa Fe Institute. He is also affiliated with the Cognitive Science program at Indiana University, where he runs the Laboratory for Social Minds. For three years, from 2010 to 2013, he was an Omidyar Fellow at the Santa Fe Institute. He and his collaborators study how people use words and signals, and the ideas they represent, to create a world. They have studied a diverse set of systems that includes the French Revolution, the courtrooms of Victorian London, the research strategies of Charles Darwin, the insurgency of modern-day Afghanistan, the emergent bureaucracy of Wikipedia, the creation of power hierarchies among the social animals, and the collusions and conspiracies of petrol stations in the American Midwest. They combine data from the contemporary world, archives from the deep past, statistical tools from cosmology, and models of human cognition from Bayesian reasoning and information theory to understand how cultures grow, flourish, innovate, and evolve.

This week I speak with social scientist Nicholas Brigham Adams (Twitter, LinkedIn) about his work at Goodly Labs to create new infrastructure for collective intelligence — new systems for collective fact-checking and sense-making that can help us rise to the occasion of our inherently social, planet-scale challenges.  And the time for this work is definitely NOW.  As paths across social, economic, and ecological networks continue to shrink due to the increasing connectivity of technological systems, humankind migrates from an Earth on which most events seem impossibly distant and irrelevant to an Earth defined by nonlinear, often exponential impacts of seemingly-trivial developments anywhere on the planet.  This is the century — and the decade — in which many of us have no choice but to learn, the easy way or the hard way, the consequences of our increasing vulnerability to and power over one another.  And one of the places this is most vividly apparent is in how truths and untruths ripple at unprecedented speeds across the globe, forcing us into a new and intense cosmopolitanism.  In the 1940s, the message was “Loose lips sink ships.”  Perhaps the message for the 2020s is “Cognitive biases spread mind viruses.”If you've followed me for a while, you've likely read my 2017 science fiction short story “An Oral History of The End of ‘Reality'”, a peek into our present-day post-truth carnival funhouse where AI-assisted forgeries demand vastly more nuanced and sophisticated methods for navigating fundamental uncertainty, far greater humility about our validity claims, and revolutionary tools for thinking together.  We have to learn to communicate the degree and dimension of our confidence and of our doubt — to learn how we can rigorously restore the trust necessary for coordination at scale — and Goodly Labs is, in my opinion, one of the most promising efforts in the world right now in this regard.  2024 is very likely to feel like the end of reality for a lot of us, and the stakes are immense:  fair presidential elections, concerted ecological action, and effective AI steering policy are all domains of existential risk in which we MUST be able to reconstruct some kind of minimally viable consensus reality.  I'd be considerably more worried for our future if I did not know that there are people like Brigham Adams and his amazing team of academics, founders, engineers, and journalists tilting their spears directly at this issue and working around the clock to help midwife that Holy Grail of communications technology:  a sane and healthy global brain.Announcement: The Future Fossils Book Club is back! Join me for to discuss Iron John: A Book About Men by Robert Bly on Saturday 27 January and Saturday 10 February from 12p-2p MST. I'll send Substack and Patreon supporters the link to both calls soon, and there will be a dedicated private discussion channel in the Discord server.✨ Mostly-Complete List of Citations:Study: On Twitter, false news travels faster than true stories (MIT News)LOGIN 2009 keynote: gaming in the world of 2030 by Charles Stross (transcript)Ready Player One by Ernst ClineThe meaning of life in a world without work by Yuval Noah Harari (read at web.archive.org or 12ft.io)Thinking, Fast and Slow by Daniel KahnemanMotivated Numeracy and The Politics-ridden Brain by Stuff To Blow Your Mind (podcast)Coming Into Being by William Irwin ThompsonExplosive Proofs of Mathematical Truths by Simon DeDeo (lecture video)Stewardship of global collective behavior by Joseph Bak-Coleman et al. (paper)OpenAI's anarchist science chief is a techno-spiritual culthead (Athenil)So You Want To Be A Sorceror In The Age of Mythic Powers by Josh Schrei (podcast)Saul PerlmutterOccupy MovementJamie JoyceLynn MargulisDouglas EngelbartAlexander BeinerDouglas RushkoffSteve JobsStewart BrandW. Brian ArthurJim RuttSense8 (television series)✨ Support My Work:• Subscribe on Substack or Patreon for COPIOUS extras, including private Discord server channels and MANY secret episodes!• Make one-off donations at @futurefossils on Venmo, $manfredmacx on CashApp, or @michaelgarfield on PayPal.• Buy the music of Future Fossils (in this episode: “Olympus Mons” & “Sonnet A”) on Bandcamp.• Buy the books we discuss at the Future Fossils Bookshop.org page and I'll get a cut.• Browse and buy original paintings and prints or email me to commission new work! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit michaelgarfield.substack.com/subscribe

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: Complex systems research as a field (and its relevance to AI Alignment), published by Nora Ammann on December 2, 2023 on LessWrong. I have this high prior that complex-systems type thinking is usually a trap. I've had a few conversations about this, but still feel kind of confused, and it seems good to have a better written record of mine and your thoughts here. At a high level, here are some thoughts that come to mind for me when I think about complex systems stuff, especially in the context of AI Alignment: A few times I ended up spending a lot of time trying to understand what some complex systems people are trying to say, only to end up thinking they weren't really saying anything. I think I got this feeling from engaging a bunch with the Santa Fe stuff and Simon Dedeo's work (like this paper and this paper) A part of my model of how groups of people make intellectual progress is that one of the core ingredients is having a shared language and methodology that allows something like "the collective conversation" to make incremental steps forward. Like, you have a concept of experiment and statistical analysis that settles an empirical issue, or you have a concept of proof that settles an issue of logical uncertainty, and in some sense a lot of interdisciplinary work is premised on the absence of a shared methodology and language. While I feel more confused about this in recent times, I still have a pretty strong prior towards something like g or the positive manifold, where like, there are methodological foundations that are important for people to talk to each other, but most of the variance in people's ability to contribute to a problem is grounded in how generally smart and competent and knowledgeable they are, and expertise is usually overvalued (for example, it's not that rare for a researcher to win a Nobel prize in two fields). A lot of interdisciplinary work (not necessarily complex systems work, but some of the generator that I feel like I see behind PIBBS) feels like it puts a greater value on intellectual diversity here than I would. Ok, so starting with one high-level point: I'm definitely not willing to die on the hill of 'complex systems research' as a scientific field as such. I agree that there is a bunch of bad or kinda hollow work happening under the label. (I think the first DeDeo paper you link is a decent example of this: feels mostly like having some cool methodology and applying it to some random phenomena without really an exciting bigger vision of a deeper thing to be understood, etc.) That said, there are a bunch of things that one could describe as fitting under the complex systems label that I feel positive about, let's try to name a few: I do think, contra your second point, complex systems research (at least its better examples) have a lot of/enough shared methodology to benefit from the same epistemic error correction mechanisms that you described. Historically it really comes out of physics, network science, dynamical systems, etc. The main move that happened was to say that, rather than indexing the boundaries of a field on the natural phenomena or domain it studies (e.g. biology, chemistry, economics), to instead index it on a set of methods of inquiry, with the premise that you can usefully apply these methods across different types of systems/domains and gain valuable understanding of underlying principles that govern these phenomena across systems (e.g. I think a (typically) complex systems angle is better at accounting for environment-agent interactions. There is a failure mode of naive reductionism that starts by fixing the environment to be able to hone in on what system-internal differences produce what differences in the phenomena, and then conclude that all of what drives the phenomena is systems-internal while forget tha...

Link to original articleWelcome 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: Complex systems research as a field (and its relevance to AI Alignment), published by Nora Ammann on December 2, 2023 on LessWrong. I have this high prior that complex-systems type thinking is usually a trap. I've had a few conversations about this, but still feel kind of confused, and it seems good to have a better written record of mine and your thoughts here. At a high level, here are some thoughts that come to mind for me when I think about complex systems stuff, especially in the context of AI Alignment: A few times I ended up spending a lot of time trying to understand what some complex systems people are trying to say, only to end up thinking they weren't really saying anything. I think I got this feeling from engaging a bunch with the Santa Fe stuff and Simon Dedeo's work (like this paper and this paper) A part of my model of how groups of people make intellectual progress is that one of the core ingredients is having a shared language and methodology that allows something like "the collective conversation" to make incremental steps forward. Like, you have a concept of experiment and statistical analysis that settles an empirical issue, or you have a concept of proof that settles an issue of logical uncertainty, and in some sense a lot of interdisciplinary work is premised on the absence of a shared methodology and language. While I feel more confused about this in recent times, I still have a pretty strong prior towards something like g or the positive manifold, where like, there are methodological foundations that are important for people to talk to each other, but most of the variance in people's ability to contribute to a problem is grounded in how generally smart and competent and knowledgeable they are, and expertise is usually overvalued (for example, it's not that rare for a researcher to win a Nobel prize in two fields). A lot of interdisciplinary work (not necessarily complex systems work, but some of the generator that I feel like I see behind PIBBS) feels like it puts a greater value on intellectual diversity here than I would. Ok, so starting with one high-level point: I'm definitely not willing to die on the hill of 'complex systems research' as a scientific field as such. I agree that there is a bunch of bad or kinda hollow work happening under the label. (I think the first DeDeo paper you link is a decent example of this: feels mostly like having some cool methodology and applying it to some random phenomena without really an exciting bigger vision of a deeper thing to be understood, etc.) That said, there are a bunch of things that one could describe as fitting under the complex systems label that I feel positive about, let's try to name a few: I do think, contra your second point, complex systems research (at least its better examples) have a lot of/enough shared methodology to benefit from the same epistemic error correction mechanisms that you described. Historically it really comes out of physics, network science, dynamical systems, etc. The main move that happened was to say that, rather than indexing the boundaries of a field on the natural phenomena or domain it studies (e.g. biology, chemistry, economics), to instead index it on a set of methods of inquiry, with the premise that you can usefully apply these methods across different types of systems/domains and gain valuable understanding of underlying principles that govern these phenomena across systems (e.g. I think a (typically) complex systems angle is better at accounting for environment-agent interactions. There is a failure mode of naive reductionism that starts by fixing the environment to be able to hone in on what system-internal differences produce what differences in the phenomena, and then conclude that all of what drives the phenomena is systems-internal while forget tha...

Episode Title and Show Notes:106 - Michael Garfield & David Krakauer on Evolution, Information, and Jurassic ParkWelcome to Complexity, the official podcast of the Santa Fe Institute. I'm Michael Garfield, producer of this show and host for the last 105 episodes. Since October, 2019, we have brought 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. Today I step down and depart from SFI with one final appearance as the guest of this episode. Our guest host is SFI President David Krakauer, he and I will braid together with nine other conversations from the archives in a retrospective masterclass on how this podcast traced the contours of complexity. We'll look back on episodes with David, Brian Arthur, Geoffrey West, Doyne Farmer, Deborah Gordon, Tyler Marghetis, Simon DeDeo, Caleb Scharf, and Alison Gopnik to thread some of the show's key themes through into windmills and white whales, SFI pursues, and my own life's persistent greatest questions.We'll ask about the implications of a world transformed by science and technology by deeper understanding and prediction and the ever-present knock-on consequences. 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 SFI at Santa fe.edu/engage. Thank you each and all for listening. It's been a pleasure and an honor to take you offroad with us over these last years.Follow SFI on social media: Twitter • YouTube • Facebook • Instagram • LinkedIn

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

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

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...

Irrespective of your values, if you're listening to this, you live in a pecking order. Dominance hierarchies, as they're called by animal behaviorists, define the lives of social creatures. The society itself is a kind of individual that gathers information and adapts to its surroundings by encoding stable environmental features in the power relationships between its members. But what works for the society at large often results in violence and inequity for its members; as the founder of this field of research put it, “A grave seriousness lies over the chicken yard.” Over the last hundred years, the science of dominance hierarchies has bloomed faster than a saloon brawl — branching out for deeper understanding of the lives of everything from fish to insects, apes to parakeets. Today, amidst clashing national and corporate titans, systemic economic inequality, and legitimacy crises in the institutions that once served to maintain (admittedly unfair) order, the time is ripe to turn to and learn from what science has discovered about the fundamental mechanisms that underly both human nature and the rest of it: who loses and who wins, and why, and at what cost?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 former ASU-SFI Fellow Elizabeth Hobson (Website | Twitter), now an Assistant Professor at the University of Cincinnati, about the last century of pecking order research. Dobson just co-edited an issue of Philosophical Transactions of The Royal Society B devoted to this topic, and we unpack her and others' contributions to this volume — including retrospectives, literature reviews, quantitative analysis, and a look at the current state and frontiers of the science of what we can colloquially call “punching up and down”…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.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 • LinkedInPapers & People Discussed Include:• The centennial of the pecking order: current state and future prospects for the study of dominance hierarchiesEli D. Strauss, James P. Curley, Daizaburo Shizuka and Elizabeth A. Hobson• Quantifying the dynamics of nearly 100 years of dominance hierarchy researchElizabeth A. Hobson• DomArchive: a century of published dominance dataEli D. Strauss, Alex R. DeCasien, Gabriela Galindo, Elizabeth A. Hobson, Daizaburo Shizuka and James P. Curley• Social hierarchies and social networks in humansDaniel Redhead and Eleanor A. Power• Dominance in humansTian Chen Zeng, Joey T. Cheng and Joseph Henrich• From equality to hierarchySimon DeDeo and Elizabeth A. Hobson• More is DifferentPhil Anderson• Environmentally Mediated Social DilemmasSylvie Estrela, Eric Libby, Jeremy Van Cleve, Florence Débarre, Maxime Deforet, William R. Harcombe, Jorge Peña, Sam P. Brown, Michael E. Hochberg• Jessica Flack• Michael Mauboussin• Joshua Bell• Robert Kegan• Thorleif Schjelderup-EbbeRelated Podcast Episodes Include:• Sidney Redner on Statistics and Everyday Life• Simon DeDeo on Good Explanations & Diseases of Epistemology• Deborah Gordon on Ant Colonies as Distributed Computers• Jonas Dalege on The Physics of Attitudes & Beliefs• Fractal Conflicts & Swing Voters with Eddie Lee• Fighting Hate Speech with AI & Social Science (with Joshua Garland, Mirta Galesic, and Keyan Ghazi-Zahedi)• Matthew Jackson on Social & Economic Networks• Rajiv Sethi on Stereotypes, Crime, and The Pursuit of Justice

As a careful study of the world, science is reflective and reactive — it constrains our flights of fancy, anchors us in hard-won fact. By contrast, science fiction is a speculative world-building exercise that guides imagination and foresight by marrying the known with the unknown. The field is vast; some sci-fi writers pay less tribute to the line between the possible and the impossible. Others, though, adopt a far more sober tactic and write “hard” sci fi that does its best to stay within the limits of our current paradigm while rooting visions of the future that can grow beyond and beckon us into a bigger, more adventurous reality.The question we might ask, though, is: which one is which? Our bounded rationality, our sense for what is plausible, is totally dependent on our personal life histories, cultural conditioning, information diet, and social network biases. One person's linear projections seem too conservative; another person's exponential change seems like a fantasy. If we can say one thing about our complex world, it might be that it always has, and always will, defy our expectations…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 join up with Caitlin McShea and the InterPlanetary Project's Alien Crash Site podcast for a wild discussion with SFI Trustee, technologist, and philosopher Gary Bengier about his science fiction novel Unfettered Journey. This book takes readers forward more than a century into a highly automated, highly-stratified post-climate-change world in which our protaganist defies the rigid norms of his society to follow fundamental questions about mind, life, purpose, meaning, consciousness, and truth. It is a perfect backdrop to our conversation on the role of complex systems science in our understanding of both present-day society and the futures that may, or may never, come to pass…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.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 • LinkedInGo Deeper With These Related MediaScience:Paul Smaldino: The evolution of covert signaling in diverse societiesGeoffrey West: ScaleBob May: Will a Large Complex System be Stable?Melanie Mitchell: The Collapse of Artificial IntelligenceMelanie Mitchell: On Crashing The Barrier of Meaning in AIElisa Heinrich Mora et al.: Scaling of Urban Income Inequality in the United StatesSFI ACtioN Climate Change Seminar: Complexity of SustainabilityRaissa D'Souza: The Collapse of NetworksDavid Krakauer: Preventative Citizen-Based MedicineSimon DeDeo & Elizabeth Hobson: From equality to hierarchyPeter Turchin: The Double Helix of Inequality and Well-BeingSpeculative Fiction:2019 IPFest World Building Panel Discussion with Rebecca Roanhorse, James S.A. Correy, and Cris MooreRobin Hanson: Age of EmAyn Rand: Atlas ShruggedPeter Watts: BlindsightIsaac Asimov: FoundationThe Strugatsky Brothers: Roadside PicnicPodcast Episodes:Complexity 10: Melanie Moses on Metabolic Scaling in Biology & ComputationComplexity 14: W. Brian Arthur (Part 2) on The Future of The EconomyComplexity 19: David Kinney on the Philosophy of ScienceComplexity 21: Melanie Mitchell on Artificial Intelligence: What We Still Don't KnowComplexity 22: Nicole Creanza on Cultural Evolution in Humans & SongbirdsComplexity 36: Geoffrey West on Scaling, Open-Ended Growth, and Accelerating Crisis/Innovation Cycles: Transcendence or Collapse? (Part 2)Complexity 51: Cris Moore on Algorithmic Justice & The Physics of InferenceThe Jim Rutt Show 152: Gary Bengier on Hard Sci-Fi Futures

Some people say we're all in the same boat; others say no, but we're all in the same storm. Wherever you choose to focus the granularity of your inquiry, one thing is certain: we are all embedded in, acting on, and being acted upon by the same nested networks. Our fates are intertwined, but our destinies diverge like weather forecasts, hingeing on small variations in contingency: the circumstances of our birth, the changing contexts of our lives. Seen through a complex systems science lens, the problem of unfairness — in economic opportunity, in health care access, in susceptibility to a pandemic — stays wicked. But the insights therein could steer society toward a much better future, or at least help mitigate the worst of what we're left to deal with now. This is where the rubber meets the road — where quantitative models of the lung could inform economic policy, and research into how we make decisions influences who survives the complex crises of this decade.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, in a conversation recorded on December 9th 2021, we speak with SFI External Professors Kathy Powers, Associate Professor of Political Science at the University of New Mexico, and Melanie Moses, Director of the Moses Biological Computation Lab at the University of New Mexico. In the first part of a conversation that — like COVID itself — will not be contained, and spends much of its time visiting the poor and under-represented, we discuss everything from how the network topology of cities shapes the outcome of an outbreak to how vaccine hesitancy is a path-dependent trust fail anchored in the history of oppression. Melanie and Kathy offer insights into how to fix the vaccine rollout, how better scientific models can protect the vulnerable, and how — with the help of complex systems thinking — we may finally be able to repair the structural inequities that threaten all of us, one boat or many.  Subscribe for Part Two in two weeks!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. Please also be aware of our new SFI Press book, The Complex Alternative, which gathers over 60 complex systems research points of view on COVID-19 (including those from this show) — and that PhD students are now welcome to apply for our tuitionless (!) Summer 2022 SFI GAINS residential program in Vienna. Learn more at SFIPress.org and SantaFe.edu/Gains, respectively. 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 • LinkedInRelated Reading & Listening:A Model For A Just COVID-19 Vaccination ProgramLegacies of Harm, Social Mistrust & Political Blame Impede A Robust Societal Response to The Evolving COVID-19 PandemicHow To Fix The Vaccine RolloutModels That Protect The VulnerableComplexities in Repair for Harm (Kathy's SFI Seminar)How a coastline 100 million years ago influences modern election results in Alabama @ Reddit

If you're honest with yourself, you're likely asking of the last two years: What happened? The COVID-19 pandemic is a prism through which our stories and predictions have refracted…or perhaps it's a kaleidoscope, through which we can infer relationships and causes, but the pieces all keep shifting. One way to think about humankind's response to COVID is as a collision between predictive power and understanding, highlighting how far the evolution of our comprehension has trailed behind the evolution of our tools. Another way of looking at it is in terms of bottlenecks and reservoirs — whether it's N95 mask distribution, log-jammed shipping lanes, or everybody looking up to Tony Fauci, superspreader events or narrative rupture, COVID is a global crash course in how things flow through networks. Ultimately, the effects go even deeper: How has COVID changed our understanding of individuality — the self and its relationship to other selves?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 special year-end wrap-up episode, we speak with  SFI President David Krakauer and former SFI President and Distinguished Professor Geoffrey West about The Complex Alternative, a new SFI Press volume gathering the perspectives of over 60 members of the complex systems research community on COVID-19 — not just the disease but the webbed and embedded systems it revealed.Complexity Podcast will take a winter hiatus over the holidays and return on Wednesday, January 12th. If you value our research and communication efforts, please subscribe wherever you prefer to listen, rate and review us at Apple Podcasts, and/or consider making a donation at santafe.edu/give. Please also be aware that PhD students are now welcome to apply for our tuitionless (!) Summer 2022 SFI GAINS residential program in Vienna, Austria. Learn more at santafe.edu/gains.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 • LinkedInRelated Reading & Listening:The Complex Alternative: Complexity Scientists on the COVID-19 PandemicSelected contributions from that volume:David Kinney - Why We Can't Depoliticize A PandemicSimon DeDeo - From Virus To SymptomOn Coronavirus, Crisis, and Creative Opportunity with David Krakauer (Transmission Series Ep. 3)Bill Miller on Investment Strategies in Times of CrisisCristopher Moore on the heavy tail of outbreaksSidney Redner on exponential growth processesAnthony Eagan - The COVID-19-Induced Explosion of Boutique NarrativesCarrie Cowan on the future of educationMelanie Mitchell - The Double-Edged Sword of Imperfect MetaphorsDanielle Allen, E. Glen Weyl, and Rajiv Sethi - Prediction and Policy in a Complex SystemAdditional Media:John Kaag - What Thoreau can teach us about the Great ResignationKyle Harper - The Fall of the Roman Empire (SFI Talk)Niall Ferguson's Networld, Part 1 “Disruption” feat. Geoffrey WestNeal Stephenson, SFI Miller ScholarThe Limits of Human Scale - David Pakman interviews Geoffrey WestSamuel Bowles, Wendy Carlin - The coming battle for the COVID-19 narrativeJonathan Rausch - The Constitution of KnowledgeLaurent Hébert-Dufresne on Halting the Spread of COVID-19Sam Scarpino on Modeling Disease Transmission & InterventionsScaling Laws & Social Networks in The Time of COVID-19 with Geoffrey West (Part 1)Geoffrey West on Scaling, Open-Ended Growth, and Accelerating Crisis/Innovation Cycles: Transcendence or Collapse? (Part 2)New Directions in Science Emerge from Disconnection and Discordby Yiling Lin, James Allen Evans, Lingfei WuScaling of Urban Income Inequality in the United Statesby Elisa Heinrich Mora, Jacob J. Jackson, Cate Heine, Geoffrey B. West, Vicky Chuqiao Yang, Christopher P. Kempes

Democracy is a quintessential complex system: citizens' decisions shape each other's in nonlinear and often unpredictable ways; the emergent institutions exert top-down regulation on the individuals and orgs that live together in a polity; feedback loops and tipping points abound. And so perhaps it comes as no surprise in our times of turbulence and risk that democratic processes are under extraordinary pressure from the unanticipated influences of digital communications media, rapidly evolving economic forces, and the algorithms we've let loose into society.In a new special feature at PNAS co-edited by SFI Science Board Member Simon Levin, fifteen international research teams map the jeopardy faced by democracies today — as Levin and the other editors write in their introduction to the issue, “the loss of diversity associated with polarization undermines cooperation and the ability of societies to provide the public goods that make for a healthy society.” And yet humankind has never been more well-equipped to understand the problems that we face. What can complex systems science teach us about this century's threats to democracy, and how to mitigate or sidestep them? How might democracy itself transform as it adapts to our brave new world of extremist partisanship, exponential change, and epistemic crisis?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 SFI External Professor Tina Eliassi-Rad, Professor of Computer Science at Northeastern University, about her complex systems research on democracy, what forces stabilize or upset democratic process, and how to rigorously study the relationships between technology and social change.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. Please also be aware of our new SFI Press book, The Complex Alternative, which gathers over 60 complex systems research points of view on COVID-19 (including those from this show) — and that PhD students are now welcome to apply for our tuitionless (!) Summer 2022 SFI GAINS residential program in Vienna. Learn more at SFIPress.org and SantaFe.edu/Gains, respectively. 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 • LinkedInRelated Reading & Listening:Tina's Website & Google Scholar Page“What science can do for democracy: a complexity science approach”Tina Eliassi-Rad, Henry Farrell, David Garcia, Stephan Lewandowsky, Patricia Palacios, Don Ross, Didier Sornette, Karim Thébault & Karoline Wiesner“Stability of democracies: a complex systems perspective”K Wiesner, A Birdi, T Eliassi-Rad, H Farrell, D Garcia, S Lewandowsky, P Palacios, D Ross, D Sornette and K Thébault“Measuring algorithmically infused societies”Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kıcıman, Noshir Contractor & Tina Eliassi-Rad1 - David Krakauer on The Landscape of 21st Century Science7 - Rajiv Sethi on Stereotypes, Crime, and The Pursuit of Justice35 - Scaling Laws & Social Networks in The Time of COVID-19 with Geoffrey West38 - Fighing Hate Speech with AI & Social Science (Garland, Galesic, Olsson)43 - Vicky Yang & Henrik Olsson on Political Polling & Polarization: How We Make Decisions & Identities51 - Cris Moore on Algorithmic Justice and The Physics of Inference“Stewardship of global collective behavior” - Joe Bak-Coleman et al.Michelle Girvan - Harnessing Chaos & Predicting The Unpredictable with A.I.Transmission T-015: Anthony Eagan on Federalism in the time of pandemicTransmission T-031: Melanie Moses and Kathy Powers on models that protect the vulnerableAlso Mentioned:Simon DeDeoElizabeth HobsonDanielle AllenAlexander De TocquevilleStewart BrandSafiya NobleFilippo MenczerJessica FlackRajeev GandhiScott AdamsDavid Brin

What makes a satisfying explanation? Understanding and prediction are two different goals at odds with one another — think fundamental physics versus artificial neural networks — and even what defines a “simple” explanation varies from one person to another. Held in a kind of ecosystemic balance, these diverse approaches to seeking knowledge keep each other honest…but the use of one kind of knowledge to the exclusion of all others leads to disastrous results. And in the 21st Century, the difference between good and bad explanations determines how society adapts as rapid change transforms the world most people took for granted — and sends humankind into the epistemic wilds  to find new stories that will help us navigate this brave new world.This week we dive deep with SFI External Professor Simon DeDeo at Carnegie Mellon University to explore his research into intelligence and the search for understanding, bringing computational techniques to bear on the history of science, information processing at the scale of society, and how digital technologies and the coronavirus pandemic challenge humankind to think more carefully about the meaning that we seek, here on the edge of chaos…If you value our research and communication efforts, please subscribe to Complexity Podcast wherever you  listen, rate and review us at Apple Podcasts, and/or consider making a donation 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 • LinkedInWorks Discussed:“From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning”Zachary Wojtowicz & Simon DeDeo (+ SFI press release on this paper)“Supertheories and Consilience from Alchemy to Electromagnetism”Simon DeDeo (SFI lecture video)“From equality to hierarchy”Simon DeDeo & Elizabeth HobsonThe Complex Alternative: Complexity Scientists on the COVID-19 PandemicSFI Press (with “From Virus to Symptom” by Simon DeDeo)“Boredom and Flow: An Opportunity Cost Theory of Attention-Directing Motivational States”Zachary Wojtowicz, Nick Chater, & George Loewenstein“Scale and information-processing thresholds in Holocene social evolution”Jaeweon Shin, Michael Holton Price, David H. Wolpert, Hajime Shimao, Brendan Tracey, & Timothy A. Kohler “Slowed canonical progress in large fields of science”Johan Chu and James Evans“Will A Large Complex System Be Stable?”Robert MayRelated Podcast Episodes:• Andy Dobson on Disease Ecology & Conservation Strategy• Nicole Creanza on Cultural Evolution in Humans & Songbirds• On Coronavirus, Crisis, and Creative Opportunity with David Krakauer• Carl Bergstrom & Jevin West on Calling Bullshit: The Art of Skepticism in a Data-Driven World• Vicky Yang & Henrik Olsson on Political Polling & Polarization: How We Make Decisions & Identities• David Wolpert on The No Free Lunch Theorems and Why They Undermine The Scientific Method• Science in The Time of COVID: Michael Lachmann & Sam Scarpino on Lessons from The Pandemic• Jonas Dalege on The Physics of Attitudes & Beliefs• Tyler Marghetis on Breakdowns & Breakthroughs: Critical Transitions in Jazz & MathematicsMentioned:David Spergel, Zachary Wojtowicz, Stuart Kauffman, Jessica Flack, Thomas Bayes, Claude Shannon, Sean M. Carroll, Dan Sperber, David Krakauer, Marten Scheffer, David Deutsch, Jaewon Shin, Stuart Firestein, Bob May, Peter Turchin, David Hume, Jimmy Wales, Tyler Marghetis

Whether in an ecosystem, an economy, a jazz ensemble, or a lone scholar thinking through a problem, critical transitions — breakdowns and breakthroughs — appear to follow universal patterns. Creative leaps that take place in how mathematicians “think out loud” with body, chalk, and board look much like changes in the movement through “music-space” traced by groups of improvisers. Society itself appears to have an “aha moment” when a meme goes viral or a new word emerges in the popular vocabulary. How do collectives at all scales — be they neurons, research groups, or a society at large — suddenly change shape…and what early warning signs portend a pending bolt of inspiration?This week we talk to SFI Fellow Tyler Marghetis of UC Merced about regimes and ruptures across timescales — from the frustration and creativity of mathematicians and musicians to the bursts of innovation that appear to punctuate civilization and the biosphere alike.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/podcastgive. You can find numerous 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 • LinkedIn Related Reading & Listening:“Creative leaps in musical ecosystems: early warning signals of critical transitions in professional jazz” by Matt Setzler, Tyler Marghetis, Minje Kim“The complex system of mathematical creativity: Modularity, burstiness, and the network structure of how experts use inscriptions” by Tyler Marghetis, Kate Sampson, David Landy“An Integrated Mess of Music Lovers in Science” – press release with video playlist of the 2020 Musicology & Complexity Working Group“Explosive Proofs of Mathematical Truths” – Simon DeDeo SFI Seminar on inductive networksComplexity 29: David KrakauerComplexity 33: Tim Kohler & Marten SchefferComplexity 35, 36: Geoffrey WestComplexity 37: Laurence GonzalesComplexity 65: Deborah GordonTopics Discussed:• competitive wrestling to complex systems science• free jazz ensembles as a mode of distributed cognition like ant colonies• creative transitions as analogous to ecosystemic transitions (loss of resilience due to autocorrelation, etc)• the difference between composed and improvised music• creativity and boredom• the relationship between improvisation and trauma, exploration and nonlinearity• the death of the genre (?)• the role of the body in thought• how can you tell an “aha moment” is about to happen?• what does a healthy mathematical ecosystem look like?• burstiness and virality

Host Phil Llewellyn with guests review some of the many great podcasts, books, articles and webinars from the last week. This week's guests:Ian Hollingworth, Andy Stevens and Nick Wilkinson all of whom are preparing for the Rugby Advanced Coaching Award.  The team discuss their thoughts and preparation for the up coming England RACA course and this is the first in a four-part series which will follow them across the next 12 months. SUGGESTED CONTENT/WHAT YOU MIGHT HAVE MISSED Understanding Organisational Cultures in Elite Sport - Dr Niels Feddersen (Pt1) - Meaningful Sport SeriesCreate great conversation – The Coaching LabThe Magic Academy with Doug LemovCoach A Long Social – Wimbledon – UK SportEuro 2020: how football managers and coaches control the narrativeNeuroscientists Have Discovered a Phenomenon That They Can't ExplainDare to speak your mind and together we flourish Simon DeDeo on How Explanations Work and Why They Sometimes Fail Taking the Next Step: Ways Forward for Coaching ScienceUnderstanding Unconscious BiasIs It Time To Introduce Emotional Intelligence Into Sports Coaching?Talking Performance Episode 51 with Special Guest Ed CoughlanThe Rogue Monkey Podcast with Richard Cheetham

You observe a phenomenon, and come up with an explanation for it. That's true for scientists, but also for literally every person. (Why won't my car start? I bet it's out of gas.) But there are literally an infinite number of possible explanations for every phenomenon we observe. How do we invent ones we think are promising, and then decide between them once invented? Simon DeDeo (in collaboration with Zachary Wojtowicz) has proposed a way to connect explanatory values (“simplicity,” “fitting the data,” etc) to specific mathematical expressions in Bayesian reasoning. We talk about what makes explanations good, and how they can get out of control, leading to conspiracy theories or general crackpottery, from QAnon to flat earthers.Support Mindscape on Patreon.Simon DeDeo received his Ph.D. in astrophysics from Princeton University. He is currently an Assistant Professor in Social and Decision Sciences at Carnegie Mellon University, and External Professor at the Santa Fe Institute.Web siteCarnegie Mellon web page“From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning,” Wojtowicz and DeDeoAxiom of Chance blogGoogle Scholar publications

Podcast: The Jim Rutt Show (LS 49 · TOP 0.5% what is this?)Episode: Currents 028: Simon DeDeo on Explaining ExplanationPub date: 2021-02-25Jim & Simon DeDeo on his recent paper, "From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning"... In this currents episode, Jim talks to Simon DeDeo about his recently co-authored (with Zachary Wojtowicz) paper, "From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning". They cover its connection to AI & human development, description vs power in explanation, the value & challenge of using multiple conceptual lenses, the difference between powerful & unifying explanations, co-explanation, the Aristotelian aspect of this work, conspiracies, the value & complexity of simplicity, choosing explanation approaches, understanding their vices, and more. Episode Transcript Simon & Zach's paper, "From Probability to Consilience..." JRS: EP1 Simon DeDeo – The Evolution of Consciousness JRS Currents 001: Simon DeDeo on University Censorship JRS: Extra: On Post-COVID-19 Impact with Simon DeDeo Simon DeDeo is an Assistant Professor at Carnegie Mellon University in the Department of Social and Decision Sciences, and External Professor at the Santa Fe Institute. He is also affiliated with the Cognitive Science program at Indiana University, where he runs the Laboratory for Social Minds. For three years, from 2010 to 2013, he was an Omidyar Fellow at the Santa Fe Institute. He and his collaborators study how people use words and signals, and the ideas they represent, to create a world. They have studied a diverse set of systems that includes the French Revolution, the courtrooms of Victorian London, the research strategies of Charles Darwin, the insurgency of modern-day Afghanistan, the emergent bureaucracy of Wikipedia, the creation of power hierarchies among the social animals, and the collusions and conspiracies of petrol stations in the American Midwest. They combine data from the contemporary world, archives from the deep past, statistical tools from cosmology, and models of human cognition from Bayesian reasoning and information theory to understand how cultures grow, flourish, innovate, and evolve.The podcast and artwork embedded on this page are from The Jim Rutt Show, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Jim & Simon DeDeo on his recent paper, “From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning“… In this currents episode, Jim talks to Simon DeDeo about his recently co-authored (with Zachary Wojtowicz) paper, “From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning“. They cover its connection to AI & human development, description vs power in explanation, … Continue reading Currents 028: Simon DeDeo on Explaining Explanation → The post Currents 028: Simon DeDeo on Explaining Explanation appeared first on The Jim Rutt Show.

QAnon is weird and yet wildly popular. The conspiracy theory is based on the notion that prominent people in Hollywood and the Democratic party are torturing children to obtain something called adrenochrome from their blood. It's gathered a massive cult-like following and has generated hundreds of millions of shares and likes on social media. Are people getting dumber? That's very unlikely – but the tools of mass manipulation are becoming a lot more sophisticated. Experts say QAnon draws people in by appealing to an innate love of solutions we discover ourselves, and a tendency to favor explanations that connect the dots. “Follow the Science" is produced, written, and hosted by Faye Flam, with funding by the Society for Professional Journalists. Today's episode was edited by Seth Gliksman with music by Kyle Imperatore. If you'd like to hear more "Follow the Science," please like, follow, and subscribe!

Since the 1940s, scientists have puzzled over a curious finding: armed conflict data reveals that human battles obey a power-law distribution, like avalanches and epidemics.  Just like the fractal surfaces of mountains and cauliflowers, the shape of violence looks the same at any level of magnification. Beyond the particulars of why we fight, this pattern suggests a deep hidden order in the physical laws governing society.  And, digging into new analyses of data from both armed conflicts and voting patterns, complex systems researchers have started to identify the so-called “pivotal components” — the straw that breaks the camel’s back, the spark that sets a forest fire, the influential (but not always famous) figures that shape history.  Can science find a universal theory that predicts the size of conflicts from their initial conditions, or identifies key players whose “knobs” turn society in one direction or another?Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I’m your host, Michael Garfield, and each 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’s guest is SFI Program Postdoctoral Fellow Eddie Lee, whose work into “conflict avalanches” and swing voters gives a glimpse of the mysterious forces that determine why we fight — and how we may be able to prevent the next conflagration. In this episode, we talk about armed conflict as a fractal and a form of computation, swing voters in the justice system and influencers in pop culture, and what these studies have to say about the deep constraints that guide the currents of society.Just a note that this will be our last episode before a short summer break, to give our scientists uninterrupted time to work on a torrent of new research. We have some exciting episodes scheduled for our return in mid-August…in the meantime, please be sure to subscribe to Complexity Podcast on your favorite podcast provider to make sure you stay in the know! And if you value our research and communication efforts, please consider making a donation at santafe.edu/podcastgive, or join our Applied Complexity Network at santafe.edu/action.Lastly, we are excited to announce that submissions are open for this fall’s inaugural Complexity Interactive, a three-week online, project-based immersive course where you get a rare opportunity for mentorship by a large faculty of SFI professors — including Cris Moore, Melanie Mitchell, Simon DeDeo, Danielle Bassett, Luis Bettencourt, Melanie Moses, Ricard Solé, and many more. For more info and to apply, please visit https://santafe.edu/sfi-ciThank you for listening!Eddie Lee’s SFI Webpage & Google Scholar PagePapers we discuss in this episode:A scaling theory of armed conflict avalanchesSensitivity of collective outcomes identifies pivotal componentsEmergent regularities and scaling in armed conflict dataCollective memory in primate conflict implied by temporal scaling collapseGo further:Time Scales & Tradeoffs, an SFI Flash Workshop [video]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 • LinkedInTranscript coming soon!  Thanks for your patience...

Be Right Back is a story of love,  grief … and artificial intelligence. After Martha loses her husband, Ash, she begins the difficult process of mourning. That is, until she is interrupted by the arrival of an artificial “Ash”. Martha’s love is renewed, but she soon grows disenchanted, even angry. Why? Is it because the robot is an imperfect imitation of her husband (culled from his electronic traces)? Is it because the robot is too submissive? Or is it, finally, because it’s a robot -- determined rather than free? Simon DeDeo and Patrick Lee Miller discuss and debate the possibilities, ranging widely, but touching especially on the paradoxes of love and self-reflection. Guest: Simon DeDeo (@SimonDeDeo) https://www.cmu.edu/dietrich/sds/people/faculty/simon-dedeo.html

In this inaugural Currents episode, Jim talks to Simon DeDeo about speech censorship at elite Anglosphere universities, differing generational perspectives on personal liberty, the coddled mind & postmodern neo-Marxist theories, Simon’s platonic cocktail party model, hospitality as a norm, College incentives, alternate metaphors for collective education, and more. Episode Transcript Simon on Twitter Jonathan Haidt … Continue reading Currents 001: Simon DeDeo on University Censorship → The post Currents 001: Simon DeDeo on University Censorship appeared first on The Jim Rutt Show.

In this short extra episode, Jim talks to Simon DeDeo about what moving out of social isolation could be like, social norms for risk management, the wide diversity of COVID reactions, making sense personally & collectively, homeostasis & hysteresis, post-COVID impacts on data privacy, travel, free time, education, and more. Episode Transcript Simon’s post on … Continue reading Extra: On Post-COVID-19 Impact with Simon DeDeo → The post Extra: On Post-COVID-19 Impact with Simon DeDeo appeared first on The Jim Rutt Show.

The coronavirus pandemic is in one sense a kind of prism: it reveals the many interlocking systems that, until disrupted, formed the mostly invisible backdrop of modern life, challenging the economy and our models of the world at the same time that it threatens individual and social health. The virus acts on, and invites new understanding through, the complexity we only take for granted at our peril. In SFI’s new essay series on the crisis, Transmission, our international community of scientists explores a spectrum of perspectives on COVID-19 to share a myriad of complex systems insights on our unprecedented situation. In this special supplementary mini-series with SFI President David Krakauer, we discuss and find the links between these articles—on everything from evolutionary theory to economics, epistemology to epidemiology—to trace the patterns of a deeper order that, until this year, was largely hidden in plain sight.Read the Transmission series articles we discuss in this episode:000: David Krakauer on Citizen-Based Medicine001: David Kinney on Why Scientists Must Make Value Judgments in a Complex Crisis002: Luu Hoang Duc and Jürgen Jost on Making the Most of Bad Data003: John Harte on Reducing Conflicting Advice on Allowable Group Size004: Simon DeDeo on Thinking out of EquilibriumVisit our website for more information or to support our science and communication efforts.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 • LinkedIn

Science has always been about improving human understanding of our universe…but scientists have not always prioritized accessibility of their hard-won results. The deeper research digs into specialized sub-fields and daunting data sets, the greater the divide a team must cross to help communicate their findings not just to the public, but to other scientists.It is cliché: “A picture’s worth a thousand words.” But it’s the truth: strong visual communication helps readers make the choice to dig into dense manuscripts, and helps journal editors decide whose work gets published in the first place. Good dataviz can get complexity across in less time and with less effort, help public audiences grasp science better and appreciate the beauty that inspired the research to start with.Deciding how to represent research in graphic form is both a little science and a little art: it takes developing an understanding of what information matters and what doesn’t, and how other people will absorb it. Thus it should come as no surprise that in our noisy era, the data artist rises as a hero of both fields: empowered by technology to bridge dissociated disciplines and help us all learn more and better.This week’s episode is with Kirell Benzi, a data artist and data visualization lecturer who holds a PhD in Data Science from EPFL (Ecole Polytechnique Fédérale de Lausanne). Kirell’s work has been shown in outlets as diverse as the Swiss National Museum, Gizmodo, VICE, and Phys.org. In this recording, we discuss his projects mapping the Montreaux Jazz Festival and the Star Wars Extended Universe, the future of neural-network assisted data visualization, and how data art helps with the technical and ethical challenges facing science communication in the 21st Century.If you enjoy this podcast, please help us reach a wider audience by leaving a review at Apple Podcasts, or sharing the show on social media. Thank you for listening!Kirell Benzi’s WebsiteKirell’s InstagramKirell’s SFI seminar on Data Art (video)“Useful Junk? The Effects of Visual Embellishment on Comprehension and Memorability of Charts” by Scott Bateman, Regan L. Mandryk, Carl Gutwin, Aaron Genest, & David McDine, University of SaskatchewanVisit our website for more information or to support our science and communication efforts.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 • LinkedIn

Simon DeDeo and Alexander Barron discuss the rhetoric that shaped the French Revolution.

------------------Support the channel------------ Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter ------------------Follow me on--------------------- Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://twitter.com/TheDissenterYT THIS TIME, IT'S AUDIO-ONLY. I'VE BEEN HAVING SOME ISSUES WITH THE RECORDING PROGRAM THAT I HOPE TO SOLVE DEFINITELLY IN THE NEAR FUTURE. PLEASE ENJOY! Dr. Simon DeDeo is an Assistant Professor in Social and Decision Sciences at Carnegie Mellon University, and External Professor at the Santa Fe Institute. He also runs the Laboratory for Social Minds, were he and his team undertake empirical investigations, and build mathematical theories, of both historical and contemporary phenomena. In this episode, we talk about the ways we can apply knowledge and mathematical models from Physics to the study of human social behavior and cultural evolution. We also deal with the philosophical issue of emergentism vs reductionism. Time Links: 00:43 Why Dr. DeDeo decided to go from Physics to studying human social behavior 02:52 What a Physics-style perspective bring to the social sciences 06:26 Are there common laws at all levels of existence? 09:45 How people process social information 15:14 Collectives and individuals 20:51 Is collective organization spontaneous? 25:10 Trying to get at our mental algorithms 30:55 Collecting information to study historical events 34:56 About game theory 40:39 Studying cultural evolution 44:45 Emergentism vs Reductionism 57:28 Follow Dr. DeDeo's work! -- Follow Dr. DeDeo' work: Faculty page: https://tinyurl.com/ybwzw2ee Articles on Researchgate: https://tinyurl.com/ycpwv7c4 Twitter handle: @SimonDeDeo -- A HUGE THANK YOU TO MY PATRONS: KARIN LIETZCKE, ANN BLANCHETTE, JUNOS, SCIMED, PER HELGE HAAKSTD LARSEN, LAU GUERREIRO, RUI BELEZA, MIGUEL ESTRADA, ANTÓNIO CUNHA, CHANTEL GELINAS, JIM FRANK, JERRY MULLER, FRANCIS FORD, AND HANS FREDRIK SUNDE! I also leave you with the link to a recent montage video I did with the interviews I have released until the end of June 2018: https://youtu.be/efdb18WdZUo And check out my playlists on: PSYCHOLOGY: https://tinyurl.com/ybalf8km PHILOSOPHY: https://tinyurl.com/yb6a7d3p ANTHROPOLOGY: https://tinyurl.com/y8b42r7g

In this episode, Haley talks with Simon DeDeo at the Ninth International Conference on Complex Systems. DeDeo is an Assistant Professor in Social and Decision Sciences at Carnegie Mellon University and External Professor at the Santa Fe Institute. He talks about his current research, which explores extreme creative people and events throughout history in order to learn where new ideas come from and what people do when they get them. Describing his research as “an alternate account of what it means to be human”, DeDeo explains that we are not infinitely predictable creatures, rather we harness extreme capacity to evolve and create. Professor DeDeo also shares more about his course and research at the Santa Fe Institute.

Simon DeDeo by Deep Science Radio

Simon DeDeo Santa Fe Institute and Professor at Carnegie Mellon University, on Charles Darwin This show aired on KUNM Public Radio on August 19. First audio: Broadcast version Second Audio: Unabridged version

Dr. Simon DeDeo is external faculty at the Santa Fe Institute and Assistant Professor at Indiana University in Complex Systems and in Cognitive Science. He completed his undergraduate studies in Astrophysics at Harvard University and received a Master's Degree in Applied Mathematics and Theoretical Physics from Cambridge University. Simon went on to receive his PhD in Astrophysical Sciences from Princeton University and conducted postdoctoral research at the University of Tokyo, the University of Chicago as a Kavli Fellow, and also at the Santa Fe Institute as an Omidyar Fellow. Simon is here with us today to tell us all about his journey through life and science.

How do you channel experimental mastermind Chris Marker and higher-level mathematics at once? Transplanted from Chicago to Tokyo, astrophysicist Simon DeDeo started looking around him in the cafes of Tokyo, watching eye-contact and subtle variations in light, trying to make sense of the subtle aesthetics that govern everyday interaction. The result: a semiotics of the smallest boundaries and gestures that reconcile and divide in Japan.