
Michael Garfield & David Krakauer on Evolution, Information, and Jurassic Park
06/30/23 • 99 min
3 Listeners
Episode Title and Show Notes:
106 - Michael Garfield & David Krakauer on Evolution, Information, and Jurassic Park
Welcome 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
📚Reading & Videos:
The Lost World
by Michael Crichton
Jurassic Park
by Michael Crichton
The Evolution of Syntactic Communication
by Martin Nowak, Joshua Plotkin, and Vincent Jansen
InterPlanetary Festival 2018 + SFI Science Explainer Animations
by SFI
Complexity Economics
by SFI Press
Supertheories and Consilience from Alchemy to Electromagnetism
by Simon DeDeo (2019 SFI Seminar)
How To Live in The Future, Part 4: The Future is Exapted/Remixed
by Michael Garfield
Artists Misusing Technology
by NXT Museum
The Collapse of Artificial Intelligence
by Melanie Mitchell (2019 SFI Symposium Talk)
The Debate Over Understanding in AI's Large Language Models
by Melanie Mitchell & David Krakauer
Welcome To Jurassic Park
by Tink Zorg
(re: COVID-19 and the collapse of supply chains)
Smarter Parts Make Collective Systems Too Stubborn
by Jordana Cepelewicz at Quanta Magazine
(re: Albert Kao)
Coarse-graining as a downward causation mechanism
by Jessica Flack
Argument Making In The Wild
by Simon DeDeo
(SFI Seminar re: egregores)
Episode Title and Show Notes:
106 - Michael Garfield & David Krakauer on Evolution, Information, and Jurassic Park
Welcome 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
📚Reading & Videos:
The Lost World
by Michael Crichton
Jurassic Park
by Michael Crichton
The Evolution of Syntactic Communication
by Martin Nowak, Joshua Plotkin, and Vincent Jansen
InterPlanetary Festival 2018 + SFI Science Explainer Animations
by SFI
Complexity Economics
by SFI Press
Supertheories and Consilience from Alchemy to Electromagnetism
by Simon DeDeo (2019 SFI Seminar)
How To Live in The Future, Part 4: The Future is Exapted/Remixed
by Michael Garfield
Artists Misusing Technology
by NXT Museum
The Collapse of Artificial Intelligence
by Melanie Mitchell (2019 SFI Symposium Talk)
The Debate Over Understanding in AI's Large Language Models
by Melanie Mitchell & David Krakauer
Welcome To Jurassic Park
by Tink Zorg
(re: COVID-19 and the collapse of supply chains)
Smarter Parts Make Collective Systems Too Stubborn
by Jordana Cepelewicz at Quanta Magazine
(re: Albert Kao)
Coarse-graining as a downward causation mechanism
by Jessica Flack
Argument Making In The Wild
by Simon DeDeo
(SFI Seminar re: egregores)
Previous Episode

Mason Porter on Community Detection and Data Topology
One way of looking at the world reveals it as an interference pattern of dynamic, ever-changing links — relationships that grow and break in nested groups of multilayer networks. Identity can be defined by informational exchange between one cluster of relationships and any other. A kind of music starts to make itself apparent in the avalanche of data and new analytical approaches that a century of innovation has availed us. But just as with new music genres, it requires a trained ear to attune to unfamiliar order...what can we learn from network science and related general, abstract mathematical approaches to discovering this order in a flood of numbers?
Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I’m your host, Michael Garfield, and in every episode we bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.
This week we speak with SFI External Professor, UCLA mathematician Mason Porter (UCLA Website, Twitter, Google Scholar, Wikipedia), about his research on community detection in networks and the topology of data — going deep into a varied toolkit of approaches that help scientists disclose deep structures in the massive data-sets produced by modern life.
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.
I know it comes as a surprise, but this is our penultimate episode. Please stay tuned for one more show in May when SFI President David Krakauer and I will reflect on major themes and highlights from the last three-and-a-half years, and look forward to what I’ll be doing next! It’s been an honor and a pleasure to bring complex systems science to you in this way, and hope we stay in touch. I won’t be hard to find.
Thank you for listening.
Podcast theme music by Mitch Mignano.
Follow us on social media:
Twitter • YouTube • Facebook • Instagram • LinkedIn
Mentioned & Related Media:
Bounded Confidence Models of Opinion Dynamics on Networks
SFI Seminar by Mason Porter (live Twitter coverage & YouTube stream recording)
Communities in Networks
by Mason Porter, Jukka-Pekka Onnela, & Peter Mucha
Social Structure of Facebook Networks
by Amanda Traud, Peter Mucha, & Mason Porter
Critical Truths About Power Laws
by Michael Stumpf & Mason Porter
The topology of data
by Mason Porter, Michelle Feng, & Eleni Katifori
Complex networks with complex weights
by Lucas Böttcher & Mason A. Porter
A Bounded-Confidence Model of Opinion Dynamics on Hypergraphs
by Abigail Hicock, Yacoub Kureh, Heather Z. Brooks, Michelle Feng, & Mason Porter
A multilayer network model of the coevolution of the spread of a disease and competing opinions
by Kaiyan Peng, Zheng Lu, Vanessa Lin, Michael Lindstrom, Christian Parkinson, Chuntian Wang, Andrea Bertozzi, & Mason Porter
Social network analysis for social neuroscientists
Elisa C Baek...
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