Whether you live in the USA or have just been watching the circus from afar, chances are that you agree: “polarization” dominates descriptions of the social landscape. Judging from the news alone, one might think the States have never been so painfully divided…yet nuanced public polls, and new behavioral models, suggest another narrative: the United States is largely moderate, and people have much more in common with each other than they think. There’s no denying our predicament: cognitive biases lead us to “out-group” one another even when we might be allies, and the game of politics drives a two-party system into ever-more-intense division, until something has to give. But the same evidence from social science offers hope, that we might find a way to harness our collective thinking processes for the sake of everyone and row together toward a future big enough to hold our disagreements.

Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I’m your host, Michael Garfield, and every other week we’ll bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.

In this episode we talk to SFI External Professor Henrik Olssonand SFI Complexity Postdoctoral Fellow, Omidyar Fellow, and Baird Hurst Scholar Vicky C. Yangabout their work on social cognition and political identity. In a conversation that couldn’t be more timely, we ask: How can we leverage an understanding of networks for better political polling and prediction? What are the meaningful differences between one’s values and one’s affiliations? And is the American two-party system working for or against a cohesive republic?

If you value our research and communication efforts, please consider making a donation at santafe.edu/give — and/or rating and reviewing us at Apple Podcasts . You can find numerous other ways to engage with us at santafe.edu/engage . Thank you for listening!

Henrik’s Google Scholar Page

Vicky’s Google Scholar Page

Research we discuss in this episode:

Falling Through the Cracks: A Dynamical Model for the Formation of In-Groups and Out-Groups

A Sampling Model of Social Judgment

Harvesting the wisdom of crowds for election predictions using the Bayesian Truth Serum

Why are U.S. Parties So Polarized? A "Satisficing" Dynamical Model

Do two parties represent the US? Clustering analysis of US public ideology survey

Project Page for the SFI-USC Dornslife Polling Research Collaboration

For more on social cognition and collective decision-making, listen to COMPLEXITY episodes 9 with Mirta Galesic and 20 with Albert Kao .

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Podcast Theme Music by Mitch Mignano

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