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

Paper: Ancient and modern cities aren't so different

The underlying organizational ingredients of modern cities were present in ancient settlements in the Basin of Mexico. (Credit: Gabriel Garcia for SFI)
February 23, 2015

Despite notable differences in appearance and governance, ancient human settlements function in much the same way as modern cities, according to new findings by researchers at the Santa Fe Institute and the University of Colorado Boulder.

Previous research has shown that as modern cities grow in population, so do their efficiencies and productivity. A city’s population outpaces its development of urban infrastructure, for example, and its production of goods and services outpaces its population. What's more, these patterns exhibit a surprising degree of mathematical regularity and predictability, a phenomenon called "urban scaling."

But has this always been the case?

SFI Professor Luis Bettencourt researches urban dynamics as a lead investigator of SFI's Cities, Scaling, and Sustainability research program. When he gave a talk in 2013 on urban scaling theory, Scott Ortman, now an assistant professor in the Department of Anthropology at CU Boulder and a former Institute Omidyar Fellow, noted that the trends Bettencourt described were not particular to modern times. Their discussion prompted a research project on the effects of city size through history.

To test their ideas, the team examined archaeological data from the Basin of Mexico (what is now Mexico City and nearby regions). In the 1960s — before Mexico City’s population exploded — surveyors examined all its ancient settlements, spanning 2000 years and four cultural eras in pre-contact Mesoamerica.

Using this data, the research team analyzed the dimensions of hundreds of ancient temples and thousands of ancient houses to estimate populations and densities, size and construction rates of monuments and buildings, and intensity of site use.

Their results, published in the new AAAS open-access journal Science Advances this month, indicate that the bigger the ancient settlement, the more productive it was.

“It was shocking and unbelievable,” says Ortman. “We were raised on a steady diet telling us that, thanks to capitalism, industrialization, and democracy, the modern world is radically different from worlds of the past. What we found here is that the fundamental drivers of robust socioeconomic patterns in modern cities precede all that.”

Bettencourt adds: “Our results suggest that the general ingredients of productivity and population density in human societies run much deeper and have everything to do with the challenges and opportunities of organizing human social networks.”

Though excited by the results, the researchers see the discovery as just one step in a long process. The team plans to examine settlement patterns from ancient sites in Peru, China, and Europe and study the factors that lead urban systems to emerge, grow, or collapse.

Read their paper in Science Advances (February 20, 2015)

Read the article in Science Now (February 20, 2015)

Read the article in Live Science (February 20, 2015)

Read the article in CityLab (February 20, 2015)

Read the article in Popular Archaeology (February 20, 2015) 

 Read the article in Motherboard (February 20, 2015) 

Read the article in The Christian Science Monitor (February 22, 2015) 





Share
  • Sign Up For SFI News
News Media Contact

Santa Fe Institute

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



  • Tags
  • SFI News Release
  • Research
  • Alumni


  • Related Projects
  • Cities, scaling, & sustainability
  • Emergence of complex societies


More SFI News

View All News

SFI External Professor Nicholas de Monchaux named Dean of UC Berkeley College of Environmental Design

Simon Levin named Fellow of the Royal Society

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