COMPLEXITY
Description
Far-reaching conversations with a worldwide network of scientists and mathematicians, philosophers and artists developing new frameworks to explain our universe's deepest mysteries. Join host Michael Garfield at the Santa Fe Institute each week to learn about your world and the people who have dedicated their lives to exploring its emergent order: their stories, research, and insights…
Details
Language:
en-us
Release Date:
04/08/2021 06:36:05
Authors:
Santa Fe Institute
Genres:
science
Episodes
Sam Scarpino on Modeling Disease Transmission & Interventions
Release Date: 4/1/2020
Duration: 28 Mins
Authors: Santa Fe Institute
Description: “We should not have a strategy that involves killing a sizable percentage of the population. But, even if you were going to get over that ethical hurdle, [herd immunity for Covid-19] still isn't going to work.”- Sam ScarpinoFor this special mini-series covering the Covid-19 pandemic, we will bring you into conversation with the scientists studying the bigger picture of this crisis, so you can learn their cutting-edge approaches and what sense they make of our evolving global situation.This week we speak with Samuel V. Scarpino, who earned his PhD at UT Austin before becoming an Omidyar Fellow at The Santa Fe Institute, and now an Assistant Professor in the Network Science Institute at Northeastern University. In this episode, we glance off the surface of his extensive epidemiological research to discuss the complexity of interacting biological and behavioral contagions, analyzing Chinese mobility data to evaluate pandemic interventions, and the problem of unequal data collection due to socioeconomic inequality.Note that this episode was recorded on March 20th and we’d like to issue a blanket disclaimer that our understanding of the novel coronavirus pandemic evolves by the hour. We believe this information to be up to date at the time of publication but the findings discussed in this episode could soon be refined by more research.Sam’s Website & Twitter Page.Read the papers we discuss in this episode at Sam’s Google Scholar Page.Visit 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
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Laurent Hébert-Dufresne on Halting the Spread of COVID-19
Release Date: 3/26/2020
Duration: 49 Mins
Authors: Santa Fe Institute
Description: Chances are, if you are listening to this around the time it was released, you’re listening alone. Right now the human species is conducting one of the most sweeping synchronized experiments of all time: physical isolation, restricted travel, shuttered businesses, our social lives moved online. Many people wonder whether all of this is truly necessary to halt the spread of COVID-19—or do not understand what differences there are between closed borders and closed schools and businesses, how epidemiologists derive the interventions they advise, and why it matters that we all stay home right now.This week’s guest is Laurent Hébert-Dufresne, Assistant Professor of Computer Science at The University of Vermont’s Complex Systems Center, former SFI James S. McDonnell Foundation Postdoc and Research Fellow, and Editor of PLOS Complexity Channel. In this episode we discuss how network epidemiology studies contagions as they unfold across multiple scales, how co-infections (both biological and informational) change disease transmissibility, and how the best available research supports drastic containment measures.Note that this episode was recorded on March 17th and we’d like to issue a blanket disclaimer that our understanding of the novel coronavirus pandemic evolves by the hour. We believe this information to be up to date at the time of publication but the findings discussed in this episode could soon be refined by more research.Due to the pace at which the news is changing, we’ll ignore our normal schedule for the next few weeks and publish new episodes as quickly as we can. Please take a moment to subscribe wherever you listen to podcasts, and feel free to suggest questions for upcoming guests on Twitter or in our Facebook group.Laurent’s Website & Twitter Page.Read the papers we discuss in this episode at Laurent’s Google Scholar Page.Visit 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
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Andy Dobson on Epidemic Modeling for COVID-19
Release Date: 3/19/2020
Duration: 36 Mins
Authors: Santa Fe Institute
Description: Pandemics like the current novel coronavirus disease outbreak provide a powerful incentive to study the dynamics of complex adaptive systems. They also make it obvious, as new information streams in and our forecasts change in real-time, how hard emergent behaviors are to model and predict. For this special mini-series covering the COVID-19 crisis, we will bring you into conversation with scientists in the Santa Fe Institute’s global research network who study epidemics so you can learn their cutting-edge approaches and what sense they make of our evolving global situation.Due to the pace at which the news is changing, we’ll ignore our normal schedule for the next few weeks and get more, shorter conversations out more frequently. Please take a moment to subscribe wherever you listen to podcasts, and feel free to suggest questions for upcoming guests on Twitter or in our Facebook group.This episode’s returning guest is SFI External Professor, Princeton epidemiologist Andy Dobson. Among the questions we discuss:What are the benefits and limits of mathematical models in tracking contagious disease? How do epidemiologists make sense of the tradeoffs between a pathogen’s transmissibility and virulence with spatial and evolutionary models? When is it likely that herd immunity will and will not work as a reasonable response to COVID-19? What happens if COVID-19 becomes an endemic seasonal infection? How are the dynamics of epidemiological and economic systems related, both at the level of disease transmission and for modeling recovery?You can support our research and communication efforts at santafe.edu/give.Visit our website for more information.Join our Facebook discussion group to meet like minds and talk about each episode.Andy’s WebsiteAndy’s Google Scholar PageAndy’s first appearance on Complexity Podcast Episode 16Podcast Theme Music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
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Nicole Creanza on Cultural Evolution in Humans & Songbirds
Release Date: 3/12/2020
Duration: 66 Mins
Authors: Santa Fe Institute
Description: One feature common to nonlinear phenomena is how they challenge intuitions. Maybe nowhere is this more apparent than in studying the evolutionary process, and organisms in which not just genes but learned behaviors reproduce themselves provide a fountain of reliable surprises. Teasing out the intricate dynamics of gene-culture co-evolution is no easy feat. The dance of language, tools, and rituals together with anatomy reveals a deeper hidden order in how information spreads, and offers clues to why some strategies for innovation repeat themselves across the tree of life.This week’s guest is Nicole Creanza, an Assistant Professor in the Biological Sciences department at Vanderbilt University whose research merges computational and theoretical approaches to the comparison of cultural and genetic evolution in both human languages and birdsong. In this episode, we discuss how geography, genetics, behavior, and technology collide in fascinating ways and how the study of gene-culture interactions might answer some of natural history’s greatest riddles.Nicole’s Website.Nicole’s Google Scholar Page.Nicole’s Santa Fe Institute Seminar: Cultural Evolution in Structured Populations.If you enjoy this podcast, please help us reach a wider audience by subscribing, leaving a review, and telling your friends about the show on social media. Thank you for listening!Visit 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
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Melanie Mitchell on Artificial Intelligence: What We Still Don't Know
Release Date: 3/5/2020
Duration: 77 Mins
Authors: Santa Fe Institute
Description: Since the term was coined in 1956, artificial intelligence has been a kind of mirror that tells us more about our theories of intelligence, and our hopes and fears about technology, than about whether we can make computers think. AI requires us to formulate and specify: what do we mean by computation and cognition, intelligence and thought? It is a topic rife with hype and strong opinions, driven more by funding and commercial goals than almost any other field of science...with the curious effect of making massive, world-changing technological advancements even as we lack a unifying theoretical framework to explain and guide the change. So-called machine intelligences are more and more a part of everyday human life, but we still don’t know if it is possible to make computers think, because we have no universal, satisfying definition of what thinking is. Meanwhile, we deploy technologies that we don’t fully understand to make decisions for us, sometimes with tragic consequences. To build machines with common sense, we have to answer fundamental questions such as, “How do humans learn?” “What is innate and what is taught?” “How much do sociality and evolution play a part in our intelligence, and are they necessary for AI?”This week’s guest is computer scientist Melanie Mitchell, Davis Professor of Complexity at SFI, Professor of Computer Science at Portland State University, founder of ComplexityExplorer.org, and author or editor of six books, including the acclaimed Complexity: A Guided Tour and her latest, Artificial Intelligence: A Guide for Thinking Humans. In this episode, we discuss how much left there is to learn about artificial intelligence, and how research in evolution, neuroscience, childhood development, and other disciplines might help shed light on what AI still lacks: the ability to truly think.Visit Melanie Mitchell’s Website for research papers and to buy her book, Artificial Intelligence: A Guide for Thinking Humans. Follow Melanie on Twitter.Watch Melanie's SFI Community Lecture on AI.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 discussions with Melanie:Lex FridmanEconTalkJim RuttWBUR On PointMelanie's AMA on The Next Web
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Albert Kao on Animal Sociality & Collective Computation
Release Date: 2/27/2020
Duration: 52 Mins
Authors: Santa Fe Institute
Description: Over one hundred years ago, Sir Francis Galton asked 787 villagers to guess an ox’s weight. None of them got it right, but averaging the answers led to a near-perfect estimate. This is a textbook case of the so-called “wisdom of crowds,” in which we’re smarter as collectives than we are as individuals. But the story of why evolution sometimes favors sociality is not so simple — everyone can call up cases in which larger groups make worse decisions. More nuanced scientific research is required for a deeper understanding of the origins and fitness benefits of collective computation — how the complexity of an environment or problem, or the structure of a group, provides the evolutionary pressures that have shaped the landscape of wild and civilized societies alike. Not every group deploys the same rules for decision-making; some decide by a majority, some by consensus. Some groups break up into smaller sub-groups and evaluate things in a hierarchy of modular decisions. Some crowds are wise and some are dumber than their parts, and understanding how and when and why the living world adopts a vast diversity of different strategies for sociality yields potent insights into how to tackle the most wicked problems of our time.This week’s guest is Albert Kao, a Baird Scholar and Omidyar Fellow here at SFI. Kao came to Santa Fe after receiving his PhD in Ecology and Evolutionary Biology at Princeton and spending three years as a James S. McDonnell fellow at Harvard. In this episode, we talk about his research into social animals and collective decision-making, just one of several reasons why a species might evolve to live in groups. What do the features of these groups, or the environments they live in, have to do with how they process information and act in the world?If you enjoy this podcast, please help us reach a wider audience by subscribing, leaving a review, and telling your friends about the show on social media.Thank you for listening!Albert’s WebsiteAlbert’s Google Scholar PageDiscussed:Quanta Magazine’s “Smarter Parts Make Collective Systems Too Stubborn”Visit 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
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David B. Kinney on the Philosophy of Science
Release Date: 2/20/2020
Duration: 55 Mins
Authors: Santa Fe Institute
Description: Science is often seen as a pure, objective discipline — as if it all rests neatly on cause and effect. As if the universe acknowledges a difference between ideal categories like “biology” and “physics.” But lately, the authority of science has had to reckon with critiques that it is practiced by flawed human actors inside social institutions. How much can its methods really disclose? Somewhere between the two extremes of scientism and the assertion that all knowledge is a social construct, real scientists continue to explore the world under conditions of uncertainty, ready to revise it all with deeper rigor.For this great project to continue in spite of our known biases, it’s helpful to step back and ask some crucial questions about the nature, limits, and reliability of science. To answer the most fundamental questions of our cosmos, it is time to bring back the philosophers to articulate a better understanding of how it is that we know what we know in the first place. Some questions — like the nature of causation, where we should look for aliens, and why we might rationally choose not to know important information — might not be answerable without bringing science and philosophy back into conversation with each other.This week’s guest is David Kinney, an Omidyar Postdoctoral Fellow here at SFI whose research focuses on the philosophy of science and formal epistemology. We talk about his work on rational ignorance, explanatory depth, causation, and more on a tour of a philosophy unlike what most of us may be familiar with from school — one thriving in collaboration with the sciences.DavidBKinney.comOn the Explanatory Depth and Pragmatic Value of Coarse-Grained, Probabilistic, Causal Explanations.Philosophy of Science. 86(1): 145-167.Is Causation Scientific?Visit 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
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Kirell Benzi on Data Art & The Future of Science Communication
Release Date: 2/13/2020
Duration: 66 Mins
Authors: Santa Fe Institute
Description: 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
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Chris Kempes on The Physical Constraints on Life & Evolution
Release Date: 2/6/2020
Duration: 62 Mins
Authors: Santa Fe Institute
Description: Why is the internal structure of Bacteria so different from the architecture of a nucleated cell? Why do some kinds of organisms stay small, whereas others grow to enormous size? What evolutionary challenges drove life’s major transitions into more and more complex varieties…and what does studying these areas reveal about the changing landscape of our global economy?New research into the science of scale — how physics operates on systems of different sizes — reveals universal speed limits imposed on biology by the energy required to make or repair component parts. It explains the varying evolutionary pressures on organisms to reallocate resources and change their body plans as they grow. It helps to resolve fierce old debates about just how much contingent history limits a creature’s future evolutionary options. And it illuminates how tradeoffs in resiliency and efficiency constrain the strategies of animals and human institutions alike, favoring self-reliance in some contexts and cooperation in others. Scale helps us prune the tree of possibilities and understand what are and are not likely futures for this planet.We have a lot to learn from germs and insects…Chris Kempes’ Website. Visit 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
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Andy Dobson on Disease Ecology & Conservation Strategy
Release Date: 1/30/2020
Duration: 59 Mins
Authors: Santa Fe Institute
Description: Physics usually gets the credit for grand unifying theories and the search for universal laws…but looking past the arbitrary boundaries between the sciences, it’s just as true that ecological research reveals deep patterns in the energy and information structures of our cosmos. There are profound analogies to draw from how evolving living systems organize themselves. And at the intersection of biology and physics, epidemiology and economics, new strategies for conservation and development emerge to guide us through the needle’s eye, away from global poverty and ecological catastrophe and toward a healthier and wealthier tomorrow…This week’s guest is SFI External Professor Andy Dobson of Princeton University, whose work focuses on food webs, parasites, and infectious diseases to help us understand and better manage the complexities of climate change and urban growth, human-wildlife interactions, and the spread of pathogens. In this episode we talk about how network structures can inhibit or accelerate disease transmission, the link between biodiversity and economic growth, and how complex systems thinking leads to better wildlife conservation.For transcripts, show notes, research links, and more, please visit complexity.simplecast.com.If you enjoy this podcast, please help us reach a wider audience by leaving a review at Apple Podcasts, or by sharing the show on social media. Thank you for listening!Visit 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.Andy’s WebsiteAndy’s Google Scholar PagePodcast Theme Music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
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R. Maria del-Rio Chanona on Modeling Labor Markets & Tech Unemployment
Release Date: 1/23/2020
Duration: 50 Mins
Authors: Santa Fe Institute
Description: Since the first Industrial Revolution, most people have responded in one of two ways to the threat of technological unemployment: either a general blanket fear that the machines are coming for us all, or an equally uncritical dismissal of the issue. But history shows otherwise: the labor market changes over time in adaptation to the complex and nonlinear ways automation eats economies. Some jobs are easier to lose but teach skills that translate to other more secure jobs; other kinds of work elude mechanization but are comparably easier for humans, and thus don’t provide the kind of job security one might suppose. By analyzing labor networks — studying the landscapes of how skillsets intersect with labor markets and these systems mutate under pressure from a changing technological milieu — researchers can make deeper and more practical quantitative models for how our world will shift along with evolutions in robotics and AI. Dispelling Chicken Little fears and challenging the sanguine techno-optimists, these models start to tell a story of a future not unlike the past: one in which Big Changes will disrupt the world we know, arrive unevenly, reshape terrains of privilege and hardship, and reward those who can dedicate themselves to lifelong learning.This week’s guest is R. Maria del Rio-Chanona, a Mathematics PhD student supervised by SFI External Professor Doyne Farmer at the University of Oxford. Before starting her PhD, Maria did her BSc in Physics at Universidad Nacional Autónoma de México and was a research intern at the International Monetary Fund, where she studied global financial contagion in multilayer networks. We met at the 2019 New Complexity Economics Symposium to discuss the use of agent-based models in economics, how the labor market changes in response to technological disruption, and the future of work.If you enjoy this podcast, please help us reach a wider audience by leaving a review at Apple Podcasts, or by sharing the show on social media. Thank you for listening!Visit 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.Maria’s Website & Links to Papers.Maria’s Google Scholar Page.Andrew McAfee & Erik Brynjolfsson on Technological Unemployment.Carl Benedikt Frey & Michael A. Osborne on Technological Unemployment.Podcast Theme Music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
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W. Brian Arthur (Part 2) on The Future of The Economy
Release Date: 1/15/2020
Duration: 60 Mins
Authors: Santa Fe Institute
Description: If the economy is better understood as an evolving system, an out-of-equilibrium ecology composed of agents that adapt to one another’s strategies, how does this change the way we think about our future? By drawing new analogies between technology and life, and studying how tools evolve by building on and recombining what has come before, what does this tell us about economics as a sub-process of our self-organizing biosphere? Over the last forty years, previously siloed scientific disciplines have come together with new data-driven methods to trace the outlines of a unifying economic theory, and allow us to design new human systems that anticipate the planet-wide disruptions of our rapidly accelerating age. New stories need to be articulated, ones that start earlier than human history, and in which societies work better when engineered in service to the laws of physics and biology they ultimately follow…This week’s guest is W. Brian Arthur, External Professor at the Santa Fe Institute, Fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford, and Visiting Researcher at Xerox PARC. In this second part of our two-episode conversation, we discuss technology as seen through the lens of evolutionary biology, and how he foresees the future of the economy as our labor market and financial systems are increasingly devoured by artificial intelligence.If you enjoy this podcast, please help us reach a wider audience by leaving a review at Apple Podcasts, or by sharing the show on social media. Thank you for listening!Visit 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 • LinkedInBrian’s Website.Brian’s Google Scholar page.“Where is technology taking the economy?” in McKinsey, 2017.The Nature of Technology: What It Is and How It Evolves.“Punctuated equilibria: the tempo and mode of evolution reconsidered” by Gould & Eldredge."A natural bias for simplicity" by Mark Buchanan in Nature Physics."Economic Possibilities for our Grandchildren" by John Maynard Keynes.
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W. Brian Arthur (Part 1) on The History of Complexity Economics
Release Date: 1/8/2020
Duration: 57 Mins
Authors: Santa Fe Institute
Description: From its beginnings as a discipline nearly 150 years ago, economics rested on assumptions that don’t hold up when studied in the present day. The notion that our economic systems are in equilibrium, that they’re made of actors making simple rational and self-interested decisions with perfect knowledge of society— these ideas prove about as useful in the Information Age as Newton’s laws of motion are to quantum physicists. A novel paradigm for economics, borrowing insights from ecology and evolutionary biology, started to emerge at SFI in the late 1980s — one that treats our markets and technologies as systems out of balance, serving metabolic forces, made of agents with imperfect information and acting on fundamental uncertainty. This new complexity economics uses new tools and data sets to shed light on puzzles standard economics couldn’t answer — like why the economy grows, how sudden and cascading crashes happen, why some companies and cities lock in permanent competitive advantages, and how technology evolves. And complexity economics offers insights back to biology, providing a new lens through which to understand the vastly intricate exchanges on which human life depends.This week’s guest is W. Brian Arthur, External Professor at the Santa Fe Institute, Fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford, and Visiting Researcher at Xerox PARC. In this first part of a two-episode conversation, we discuss the heady early days when complex systems science took on economics, and how biology provided a new paradigm for understanding our financial and technological systems. Tune in next week for part two...If you enjoy this podcast, please help us reach a wider audience by leaving a five-star review at Apple Podcasts, or by sharing the show on social media. Thank you for listening!Visit 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 • LinkedInFor more information:Brian’s Website.Brian’s Google Scholar page.“Where is technology taking the economy?” in McKinsey, 2017.The Nature of Technology: What It Is and How It Evolves.“Punctuated equilibria: the tempo and mode of evolution reconsidered” by Gould & Eldredge.
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Matthew Jackson on Social & Economic Networks
Release Date: 12/18/2019
Duration: 65 Mins
Authors: Santa Fe Institute
Description: It may be a cliché, but it’s a timeless truth regardless: who you know matters. The connectedness of actors in a network tells us not just who wields the power in societies and markets, but also how new information spreads through a community and how resilient economic systems are to major shocks. One of the pillars of a complex systems understanding is the network science that reveals how structural differences lead to (or help counter) inequality and why a good idea alone can’t change the world. As human beings, who we are is shaped by those around us — not just our relationships to them but their relationships to one another. And the topology of human networks governs everything from the diffusion of fake news to cascading bank failures to the popularity of social influencers and their habits to the potency of economic interventions. To learn about your place amidst the networks of your life is to awaken to the hidden seams of human culture and the flows of energy that organize our world.This week’s guest is SFI External Professor Matthew O. Jackson, William D. Eberle Professor of Economics at Stanford University and senior fellow of CIFAR, also a Member of the National Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences. In this episode, we discuss key insights from his book, The Human Network: How Your Social Position Determines Your Power, Beliefs, and Behaviors.For transcripts, show notes, research links, and more, please visit complexity.simplecast.com.And note that we’re taking a short break over the winter holiday. COMPLEXITY will be back with new episodes in January 2020.If you enjoy this show, please help us reach a wider audience by leaving a review at Apple Podcasts, or by telling your friends on social media…after this episode’s discussion, we know you’ll understand how crucial this can be. Thank you for listening!Visit 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.Matthew Jackson’s Stanford Homepage.WSJ reviews The Human Network.Jackson’s Coursera MOOCs on Game Theory I, Game Theory II, and Social & Economic Networks.Podcast Theme Music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
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Ray Monk on The Lives of Extraordinary Individuals: Wittgenstein, Russell, Oppenheimer
Release Date: 12/11/2019
Duration: 50 Mins
Authors: Santa Fe Institute
Description: In this show’s first episode, David Krakauer explained how art and science live along an axis of explanatory depth: science strives to find the simplest adequate abstractions to explain the world we observe, where art’s devotion is to the incompressible — the one-offs that resist abstraction and attempts to write a unifying framework. Between the random and the regular, amidst the ligaments that bind our scientific and artistic inquiries, we find a huge swath of the world that we struggle to articulate in formal quantitative terms, but that rewards our curiosity and offers us profound insights regardless. Here lives the open question of what we can learn from history — specifically, the histories of other people’s lives. Why do we love biographies? What can the stories of the lives of others teach us about both situational and common truths of being? This is a different kind of episode and conversation, one living at the intersection of philosophy and history and science…This week’s episode features guest interviewer, SFI President David Krakauer, in conversation with philosopher and biographer Ray Monk. Monk teaches at the University of Southhampton and was SFI’s 2017 Miller Scholar, a position that he earned for his biographies of Ludwig Wittgenstein, Bertrand Russell, and J. Robert Oppenheimer — three mavericks whose legacies are lessons for contemporary leaders.If you enjoy this podcast, please help us reach a wider audience by leaving a five-star review at Apple Podcasts, or by sharing the show on social media. Thank you for listening!Visit 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.Ray Monk on Twitter.Ray Monk’s SFI Miller Scholar Profile Page.Ray Monk on Hidden Forces Podcast.Podcast Theme Music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
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Melanie Moses on Metabolic Scaling in Biology & Computation
Release Date: 12/4/2019
Duration: 66 Mins
Authors: Santa Fe Institute
Description: What is the difference between 100 kilograms of human being and 100 kilograms of algae? One answer to this question is the veins and arteries that carry nutrients throughout the human body, allowing for the intricate coordination needed in a complex organism. Energy requirements determine how the evolutionary process settles on the body plans appropriate to an environment — one way to tell the story of life’s major innovations is in terms of how a living system solves the problems of increasing body size with internal transport networks and more extensive regulation. And the same is true in our invented information systems, every bit as subject to the laws of physics as we are. Computers, just like living tissue, seek effective tradeoffs between their scale and energy efficiency. A physics of metabolic scaling — one that finds deep commonalities and crucial differences between ant hives and robot swarms, between the physiology of elephants and server farms — can help explain some of the biggest puzzles of the fossil record and sketch out the likely future evolution of technology. It is already revolutionizing how we understand search algorithms and the genius of eusocial organisms. And just maybe, it can also help us solve the challenge of sustainability for planetary culture.This week’s guest is Melanie Moses, External Professor at the Santa Fe Institute, Professor of Computer Science and Biology at the University of New Mexico, and Principal Investigator for the NASA Swarmathon. In this episode, we talk about her highly interdisciplinary work on metabolic scaling in biology and computer information-processing, and how complex systems made and born alike have found ingenious ways to balance the demands of growth and maintenance — with implications for space exploration, economics, computer chip design, and more.If you enjoy this podcast, please help us reach a wider audience by leaving a five-star review at Apple Podcasts, or by sharing the show on social media. Thank you for listening!Visit 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.Melanie’s UNM Webpage & full list of publications.“Beyond pheromones: evolving error-tolerant, flexible, and scalable ant-inspired robot swarms” by Joshua Hecker & Melanie Moses.“Energy and time determine scaling in biological and computer designs” by Moses, et al.“Shifts in metabolic scaling, production, and efficiency across major evolutionary transitions of life” by DeLong, Moses, et al.“Distributed adaptive search in T cells: lessons from ants” by Melanie Moses, et al.“Curvature in metabolic scaling” by Kolokotrones, et al.The NASA Swarmathon.Podcast Theme Music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
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Mirta Galesic on Social Learning & Decision-making
Release Date: 11/27/2019
Duration: 79 Mins
Authors: Santa Fe Institute
Description: We live in a world so complicated and immense it challenges our comparably simple minds to even know which information we should use to make decisions. The human brain seems tuned to follow simple rules, and those rules change depending on the people we can turn to for support: when we decide to follow the majority or place our trust in experts, for example, depends on the networks in which we’re embedded. Consequently, much of learning and decision-making has as much or more to do with social implications as it has to do with an objective world of fact…and this has major consequences for the ways in which we come together to solve complex problems. Whether in governance, science, or private life, the strategies we lean on — mostly unconsciously — determine whether we form wise, effective groups, or whether our collective process gets jammed up with autocrats or bureaucrats. Sometimes the crowd is smarter than the individual, and sometimes not, and figuring out which strategies are better requires a nuanced look at how we make decisions with each other, and how information flows through human networks. Given the scale and intensity of modern life, the science of our social lives takes on profound importance.This week’s guest is SFI Professor & Cowan Chair in Human Social Dynamics Mirta Galesic, External Faculty at the Complexity Science Hub in Vienna, and Associate Researcher at the Harding Center for Risk Literacy at the Max Planck Institute for Human Development in Berlin. In this episode we talk about her research into how simple cognitive mechanisms interact with social and physical environments to produce complex social phenomena…and how we can understand and cope with the uncertainty and complexity inherent in many everyday decisions.If you enjoy this podcast, please help us reach a wider audience by leaving a five-star review at Apple Podcasts. Thanks for listening!Visit 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.Mirta’s Website.Visit Mirta’s Google Scholar Page for links to all the papers we discuss.Mirta’s 2015 talk at SFI: “How interaction of mind and environment shapes social judgments.”Digital Transformation documentary about Mirta and her work.Michelle Girvan’s SFI Community Lecture on reservoir computing.Podcast Theme Music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
Is Closed Captioned: No
Explicit: No
Olivia Judson on Major Energy Transitions in Evolutionary History
Release Date: 11/20/2019
Duration: 64 Mins
Authors: Santa Fe Institute
Description: It’s easy to take modern Earth for granted — our breathable atmosphere, the delicately balanced ecosystems we depend on — but this world is nothing like the planet on which life first found its foothold. In fact it may be more appropriate to think of life in terms of verbs than nouns, of processes instead of finished products. This is the evolutionary turn that science started taking in the 19th Century…but only in the last few decades has biology begun to see this planet’s soil, air, and oceans as the work-in-progress of our biosphere. The story of our planet can’t be adequately told without some understanding of how life itself depends on opportunities that life creates, based on the energy and mineral resources made as byproducts of our metabolisms. A new, revelatory narrative of the last 3.8 billion years refigures living systems in terms of thermodynamic flows and the ever-growing range of possibilities created by our ever-more-complex ecologies. And in the telling, this new history sheds light on some of the biggest puzzles of the fossil record: why complex animals took so long to appear, why humans are the way we are, and maybe even why the sky is blue.This week’s guest is evolutionary biologist and science journalist Olivia Judson, an honorary research fellow at The Imperial College of London who received her PhD from the University of Oxford and whose writing has appeared in The Economist, The New York Times, The Guardian, and National Geographic. She is also the author of the internationally best-selling popular science book, Dr. Tatiana’s Sex Advice to All Creation. In this episode, we discuss her work on major energy transitions in evolution (the subject of her next book), and what we can learn by studying the intimate dance of biology and geology over the last 4 billion years.Visit 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.Olivia’s Website.“The energy expansions of evolution” in Nature.The Atlantic on Olivia’s essay.Music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
Is Closed Captioned: No
Explicit: No
Rajiv Sethi on Stereotypes, Crime, and The Pursuit of Justice
Release Date: 11/13/2019
Duration: 59 Mins
Authors: Santa Fe Institute
Description: Whether or not you think you hold them, stereotypes shape the lives of everyone on Earth. As human beings, we lack the ability to judge each situation as unique and different…and how we group novel experiences by our past conditioning, as helpful as it often is, creates extraordinary complications in society. As modern life exposes us to an increasing number of encounters with the other in which we do not have time to form accurate models of someone or some place’s true identity, we find ourselves in a downward spiral of self-reinforcing biases — transforming how we practice law enforcement, justice, and life online. Our polarized, irrational world calls for an intense look at what it will take to humanize each other — at traffic stops, in court, on social media, and anywhere our doubt about an unfamiliar face can lead to tragic consequences.This week’s guest is Rajiv Sethi, Professor of Economics at Columbia University and External Professor at the Santa Fe Institute. In this episode, we discuss how biases in our attention and cognition lead to unfair outcomes on the streets and on the Web, and where we can look for hope in countervailing strategies.Visit 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.Shadows of Doubt: Stereotypes, Crime, and the Pursuit of Justice by Brendan O’Flaherty & Rajiv Sethi (Harvard University Press).Rajiv’s Website.Albert Kao & Iain Couzin on collective intelligence and modular societies.Aumann’s agreement theorem.“We can’t disagree forever” (Geanakopolos & Polemarchakis).Raissa D’Souza on the Collapse of Networks.Geoffrey West on scaling laws and cities.Music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
Is Closed Captioned: No
Explicit: No
Jennifer Dunne on Reconstructing Ancient Food Webs
Release Date: 11/6/2019
Duration: 48 Mins
Authors: Santa Fe Institute
Description: Looking back through time, the fossil record shows a remarkable diversity of forms, creatures unfamiliar to today’s Earth, suggesting ecosystems alien enough to challenge any sense of continuity. But reconstructed trophic networks — maps of who’s eating whom — reveal a hidden order that has been conserved since the first complex animals of half a billion years ago. These network models offer scientists an armature on which to hang new unifying theories of ecology, a way to answer questions about how energy moves through living systems, how evolution keeps producing creatures to refill specific niches, how mass extinctions happen, what minimal viable ecosystems are and why. Untangling this deep structure of food webs may also shed light on technology and economics, and guide interventions to ensure sustainability in agriculture, conservation efforts, even venture capital investment.This week’s guest is Jennifer Dunne, SFI’s Vice President for Science and Fellow at the Ecological Society of America. Dunne got her PhD in Energy and Resources from UC Berkeley, joined SFI’s faculty in 2007, and sits on the advisory board for Nautilus Magazine. In this second half of a two-part conversation, we discuss her work on reconstructing ancient food webs, and the implications of this research for our understanding of ecologies, extinctions, sustainability, and technological innovation.Visit 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.Jennifer Dunne’s Website.Related Reading:Modern Lessons from Ancient Food WebsParasites Affect Food Web Structure Primarily through Increased Diversity and ComplexityHighly resolved early Eocene food webs show development of modern trophic structure after the end-Cretaceous extinctionThe roles and impacts of human hunter-gatherers in North Pacific marine food websA primer on the history of food web ecology: Fundamental contributions of fourteen researchersQuanta Magazine features Dunne on humans in food webs.Jennifer on This Week in Science at InterPlanetary Festival 2019.Learn more about The ArchaeoEcology Project.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
Is Closed Captioned: No
Explicit: No
Jennifer Dunne on Food Webs & ArchaeoEcology
Release Date: 10/30/2019
Duration: 46 Mins
Authors: Santa Fe Institute
Description: For as long as humans have erected walls around our cities, we’ve considered culture separate from the encircling wilderness. This difference came to be expressed in our “man vs. nature” narratives, beliefs in our dominion over the nonhuman world, and lately even the assertion that the Earth would be better off without us. Ecology research has strangely almost never included humans in the picture. And yet Homo sapiens is a phenomenon of nature, woven into food webs, demonstrating the same principles at work as any other creature on this planet. New research into trophic networks — who’s eating whom — has bridged ecology and archaeology to shed light on the many ways that human beings have participated as key members of ecosystems round the globe. The emerging portrait of our place in nature offers us the opportunity to tell new stories of the hairless ape and what we’re doing here — and just in time, perhaps, to help reshape our attitudes toward conservation and development, and what we dare to hope for in the years to come.This week’s guest is Jennifer Dunne, SFI’s Vice President for Science and Fellow at the Ecological Society of America. Dunne got her PhD in Energy and Resources from UC Berkeley, joined SFI’s faculty in 2007, and sits on the advisory board for Nautilus Magazine. In the first half of a two-part conversation, we discuss her work on food and use webs and the ArchaeoEcology Project working group at SFI, where she and her collaborators are transforming how we think of human history.Visit 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.Jennifer Dunne’s Website.Quanta Magazine features Dunne on humans in food webs.The New York Times features Dunne’s collaborator, SFI Postdoc Stefani Crabtree and her work on the Martu people of Australia.Learn more about The ArchaeoEcology Project.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
Is Closed Captioned: No
Explicit: No
Luis Bettencourt on The Science of Cities
Release Date: 10/23/2019
Duration: 50 Mins
Authors: Santa Fe Institute
Description: If you’re a human in this century, the odds are overwhelming that you are a city-dweller. These hubs of human cultural activity exert a powerful allure – and most people understand that this appeal is due to some deep link between the density, pace, wealth, and opportunity of cities. But what is a city, really? And why have the vast majority of human beings migrated to these intense and often difficult locations? Cities breed not just ideas but also crime, disease, and inequality. We live amidst a shift in what a normal human life looks and feels like, akin to the transition from our lives as nomadic hunter-gatherers to sedentary farmers — only this time, it is happening before our eyes. How can we cultivate the best that cities offer and minimize the predicaments they pose? A powerful new science of the city has emerged in just the last few years, connecting the metropolis through physics to the properties that govern animal metabolisms, ecological diversity, and economics.This week’s guest is Luis Bettencourt, External Professor at the Santa Fe Institute and Director of the Mansueto Institute for Urban Innovation at the University of Chicago. We spoke while he was visiting Santa Fe to lead SFI’s Global Sustainability Summer School to talk about what makes a city such a fertile zone for innovation of all kinds, and how to help ensure the future of the city is one human beings want to live in.Visit 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.Visit The Mansueto Institute's Website.Watch a short video on Bettencourt’s work to eliminate slums.Here are the three papers we discussed in this episode:"Toward cities without slums: Topology and the spatial evolution of neighborhoods" in Science Advances."The Origins of Scaling in Cities" in Science.“Towards a statistical mechanics of cities” in Science Advances.Learn more about SFI's Global Sustainability Summer School.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
Is Closed Captioned: No
Explicit: No
Sabine Hauert on Swarming Across Scales
Release Date: 10/16/2019
Duration: 39 Mins
Authors: Santa Fe Institute
Description: If complex systems science had a mascot, it might be the murmuration. These enormous flocks of starlings darken skies across the northern hemisphere, performing intricate airborne maneuvers with no central leadership or plan. Each bird behaves according to a simple set of rules about how closely it tracks neighbors, resulting in one of the world’s most awesome natural spectacles.This notion of self-organizing flocks of relatively simple agents has inspired a new paradigm of engineering, building simple, flexible, adaptive swarms that stand to revolutionize the way we practice medicine, map ecosystems, and extend our public infrastructure. We’re living at the dawn of the age of the robot swarm – and these metal murmurations help us create communications networks, fight cancer, and evolve to solve new problems for an age that challenges the isolated strategies of individuals.This week’s guest is Sabine Hauert, Assistant Professor in Robotics at the University of Bristol and President/Co-founder of robohub.org, a non-profit dedicated to connecting the robotics community to the world. In this episode, we talk about how swarms have changed the way we think about intelligence, and how we build technologies for everything from drug delivery to home construction.Visit 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.Hauert Lab Website.RoboHub Website.NanoDoc Website.Sabine at Nature on the ethics of artificial intelligence.Sabine's 2019 SFI Community Lecture.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
Is Closed Captioned: No
Explicit: No
The Origins of Life: David Krakauer, Sarah Maurer, and Chris Kempes at InterPlanetary Festival 2019
Release Date: 10/9/2019
Duration: 55 Mins
Authors: Santa Fe Institute
Description: A few years after Charles Darwin published On the Origin of Species, upsetting centuries of certainty about the history of life, he wrote a now-famous letter to Joseph Dalton Hooker, British botanist and advocate of evolutionary theory. "But if (and oh what a big if),” Darwin’s letter reads, “we could conceive in some warm little pond with all sorts of ammonia and phosphoric salts, light, heat, electricity etcetera present, that a protein compound was chemically formed, ready to undergo still more complex changes.”That was 1871. Nearly 150 years hence, humankind has worked out the details of the evolutionary process to exquisite depth and resolution, but abiogenesis - the origins of life - remains one of the greatest mysteries of our world. Fierce theoretical debates rage on between those who think life got its start in deep sea hydrothermal vents and those who think it started in “some warm little pond” – not to mention more heterodox hypotheses. The consequences are enormous – shaping plans for interplanetary exploration, changing our approach to medicine, and maybe foremost, settling the existential question of what life is in the first place.This week’s episode was recorded live at the Santa Fe Institute’s InterPlanetary Festival in June 2019. The panel features evolutionary theorist David Krakauer, President of SFI; biochemist Sarah Maurer, Assistant Professor at Central Connecticut State University; and SFI Professor Chris Kempes, who works on biological scaling laws. In this discussion, we present a spectrum of perspectives on the origins of life debate, and speak to the importance of presenting this unsettled science as itself an evolutionary object...Visit 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.David Krakauer's Webpage & Google Scholar Citations.Sarah Maurer's Website.Chris Kempes's Website.InterPlanetary Festival's Website.Complexity Explorer's Origins of Life Online Course.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn
Is Closed Captioned: No
Explicit: No
David Krakauer on The Landscape of 21st Century Science
Release Date: 10/9/2019
Duration: 46 Mins
Authors: Santa Fe Institute
Description: For 300 years, the dream of science was to understand the world by chopping it up into pieces. But boiling everything down to basic parts does not tell us about the way those parts behave together. Physicists found the atom, then the quark, and yet these great discoveries don’t answer age-old questions about life, intelligence, or language, innovation, ecosystems, or economies.So people learned a new trick – not just taking things apart but studying how things organize themselves, without a plan, in ways that cannot be predicted. A new field, complex systems science, sprang up to explain and navigate a world beyond control.At the same time, improvements in computer processing enabled yet another method for exploring irreducible complexity: we learned to instrumentalize the evolutionary process, forging machine intelligences that can correlate unthinkable amounts of data. And the Internet’s explosive growth empowered science at scale, in networks and with resources we could not have imagined in the 1900s. Now there are different kinds of science, for different kinds of problems, and none of them give us the kind of easy answers we were hoping for.This is a daring new adventure of discovery for anyone prepared to jettison the comfortable categories that served us for so long. Our biggest questions and most wicked problems call for a unique and planet-wide community of thinkers, willing to work on massive and synthetic puzzles at the intersection of biology and economics, chemistry and social science, physics and cognitive neuroscience.Visit 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.David Krakauer's Webpage & Google Scholar Citations.Follow us on social media: Twitter • YouTube • Facebook • Instagram • LinkedIn
Is Closed Captioned: No
Explicit: No
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