Santa Fe
Institute
  • Research
    • Themes
    • Projects
    • SFI Press
    • Researchers
    • Publications
    • Library
    • Sponsored Research
    • Fellowships
    • Miller Scholarships
  • News + Events
    • News
    • Newsletters
    • Podcasts
    • SFI in the Media
    • Media Center
    • Events
    • Community
    • Journalism Fellowship
  • Education
    • Programs
    • Projects
    • Alumni
    • Complexity Explorer
    • Education FAQ
    • Postdoctoral Research
    • Education Supporters
  • People
    • Researchers
    • Fractal Faculty
    • Staff
    • Miller Scholars
    • Trustees
    • Governance
    • Resident Artists
    • Research Supporters
  • Applied Complexity
    • Office
    • Applied Projects
    • ACtioN
    • Applied Fellows
    • Studios
    • Applied Events
    • Login
  • Give
    • Give Now
    • Ways to Give
    • Contact
  • About
    • About SFI
    • Engage
    • Complex Systems
    • FAQ
    • Campuses
    • Jobs
    • Contact
    • Library
    • Employee Portal

Science for a Complex World

Events

Here's what's happening

Give

You make SFI possible

Subscribe

Sign up for research news

Connect

Follow us on social media

© 2026 Santa Fe Institute. All rights reserved. This site is supported by the Miller Omega Program.

Home / News

Exploring the rise and fall of human societies

www.istockphoto.com
May 27, 2014

When Europeans first settled on inhospitable Iceland, they struggled but eventually stabilized; on neighboring Greenland, early Norse settlements ultimately disappeared. Similarly, Zuni tribes flourished in what is now the southwestern United States while the nearby Hohokam dwindled.

Reasons for the rise or decline of societies are many and varied, and only increase in complexity with a changing climate. SFI External Professor Tim Kohler, an archaeologist at Washington State University, and collaborator Margaret Nelson at Arizona State University are co-organizing a pair of SFI meetings this week at SFI to explore ways to study these dynamics.

The first, a three-day workshop titled Social Change In the Context of Climate Challenges: Issues in Coupled Natural Human Systems May 27-29, matches more than a dozen experts with SFI-style transdisciplinary tools and approaches.

Kohler cites agent-based modeling as one such tool: it can help reconstruct the basic resources of a landscape – such as water sources and prey growth rates – that influence each household (agent) in choosing the best living arrangements. Differences between the models of settlements and observations from the archaeological record often reveal other factors.

During a follow-on two-day working group titled Global Human Ecodynamics Alliance Modeling: Evolvability and Robustness May 30-31, many of the workshop participants will consider useful means of societal comparison.

For example, explains Kohler, whether people live in dark, icy weather in the North Atlantic or droughts in the American Southwest, we can quantify the severity and frequency of risks in the landscape and thus start to compare extraordinarily different societies. From there, signs of a healthy or declining society emerge, which of course hold relevance today.

“If we can retrospectively define early warning signals of catastrophic thresholds in the archaeological record, we have a chance to spot them today,” he says.

Both meetings are invitation-only.





Share
  • Sign Up For SFI News
News Media Contact

Santa Fe Institute

Office of Communications
news@santafe.edu
505-984-8800



  • Tags
  • Research


  • Related Projects
  • Emergence of complex societies


More SFI News

View All News

Brian Enquist receives Robert H. MacArthur Award

Han van der Maas named director of Amsterdam’s Institute for Advanced Study

Marina Dubova receives Dissertation Prize

Smart parts for smart wholes

Aaron Clauset receives honors from AAAS and University of New Mexico

Laurent Hébert-Dufresne receives Erdős-Rényi Prize

Why noise may be the key to understanding cell group patterns

Reinventing democracy before it breaks

Do deep learning models recognize 3D shapes in the same way humans do?

Upending assumptions about learning, inspired by an AI phenomenon

Looking at AGI through the lens of natural intelligence

A simple baseline for AI forecasting in machine learning

Constantino Tsallis to co-chair the 2027 Nobel Symposium on Statistical Mechanics

How novelty arrives: Review of “The Origins of the New”

Working group asks, what’s the benefit of a brain?

Measuring irreversibility in gene transcription

ACtioN Academy engages industry leaders on AI and complexity

Arguing for a complex adaptive power grid

Mark Newman Awarded 2026 SIAM John von Neumann Prize

Review: Nonesuch, by SFI Miller Scholar Francis Spufford