Marta González: Complexity, Urban Sciences, Mobility Data, and Sustainable Cities in Latin America

Marta Gonzalez
Professor of City & Regional Planning and Civil & Environmental Engineering at UC Berkeley. Research on Complex Socio-Technical Networks, Statistical Physics and Urban Sciences.
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Marta González is a Venezuelan-American physicist and complexity scientist whose research explores the dynamics of human mobility, urban systems, and sustainability through the lens of statistical physics and network science. She is a professor of civil and environmental engineering and city and regional planning at the University of California, Berkeley, where she also serves as associate director of the Transportation Sustainability Research Center. González is internationally recognized for pioneering the use of large-scale mobility data to better understand cities and inform public policy.

In this wide-ranging InterDialogue, González reflects on her journey from physics into complexity science and urban research, explaining how statistical physics provides powerful tools for understanding human mobility and the collective dynamics of cities. We discuss the emergence of urban science as an interdisciplinary field, the opportunities and limitations of mobile phone and mobility datasets, and how these data can improve transportation planning, climate adaptation, and the design of more resilient and sustainable cities.

González also explores the challenges of translating scientific research into public policy, including questions of data access, privacy, and collaboration between researchers, governments, and industry. We further examine the future of urban mobility, autonomous vehicles, and clean energy, as well as the importance of international collaboration and expanding scientific capacity across the Global South. Finally, she reflects on the broader promise of complexity science for addressing some of the most pressing social and environmental challenges facing rapidly urbanizing societies.

Timestamps

0:00 – Introduction and Marta González’s path into complexity science

5:01 – From statistical physics to human mobility research

10:18 – Mobile phone data and the emergence of urban science

15:42 – Sustainable cities, climate adaptation, and resilience

20:24 – Privacy, data access, and international collaboration

25:42 – Using complexity science to inform urban policy

29:32 – Measuring the impact of remote work on cities

35:05 – Quantifying sustainability and designing better transportation systems

43:42 – Cities as complex adaptive systems

47:18 – Interdisciplinary research and tackling climate risks

51:26 – The future of cities and urban sustainability

Marta Gonzalez
Professor of City & Regional Planning and Civil & Environmental Engineering at UC Berkeley. Research on Complex Socio-Technical Networks, Statistical Physics and Urban Sciences.

I am Professor of City & Regional Planning and Civil and Environmental Engineering at UC Berkeley, where I direct the HuMNet Lab. I am also a Physics Research faculty member in the Energy Technologies Area at Lawrence Berkeley National Laboratory. My training is in physics. I earned my PhD at the Universität Stuttgart in Germany in 2006, after studies in Venezuela at the Central University and Simón Bolívar University.

The statistical physics of complex systems and network science founded my scientific approach, and today spatial AI, digital traces, and environmental data keep me busy. With my colleagues, I develop numerical models and computational tools to understand human interactions in the built and natural environments, with the ultimate goal of designing urban solutions and enabling caring development in the use of new technologies.

Part of my work has focused on Latin American cities, where rapid growth and uneven access to services make data-driven planning especially urgent. With support from the Bill & Melinda Gates Foundation, I studied how digital traces, including credit-card and mobile-phone data, reveal consumption patterns, access to financial services, and the daily lives of women and underserved populations. In partnership with the World Bank, I extended these methods to mobility and infrastructure planning, developing data science frameworks to guide sustainable transportation networks, such as bicycle infrastructure, in cities across the region.

I was named a Fellow of the Network Science Society in 2023 for my contributions to understanding human mobility and transportation networks, and in 2024 I received the Lagrange–CRT Foundation Prize for research in the complexity sciences. I’ve also been honored with the Joseph M. Sussman Prize. I teach courses on data science, human mobility, and network science.

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September 17, 2026
Over the past two decades, complexity science has matured from its origins as a small, largely esoteric subfield of theoretical statistical physics and mathematics into an expansive area of inquiry that bridges disciplines and addresses some of the world’s most acute interconnected challenges.  Nowhere has this interdisciplinary, applied process become more apparent than with the ongoing convergence of complexity and health.  This convergence is happening at all scales—individual and collective, private and public—across approaches to prevention, treatment, management, and containment in integrative and public health spaces, as well as through applied research and innovation. “Our methodological approach goes on and on down to the level of microbiology and finally finding cures for many diseases,” says Italian American physicist and complex networks scientist Alessandro Vespignani. “All that goes through networks and through a vision that has complex systems at the core. Network science is a way to approach complex systems,” Vespignani explained from within Northeastern University’s Network Science Institute, where he serves as director, leads the Laboratory for the Modeling of Biological and Socio-technical Systems (MOBS) lab, and heads several impactful public health initiatives. “We look at elements and their interactions, and we do not get rid of nonlinear phenomena, feedback loops, et cetera, that exist in real world systems; we need to consider those,” Vespignani continues. “And in that sense, there is even more urgency in the work that we as a community do to respond to those challenges and to be of service to the society.” Explore the full InterDialogue with Alessandro Vespignani. The COVID-19 pandemic served as a critical moment of applied research and broad engagement with public health policy for those, like Vespignani, who work at the interface of complexity and health. But theoretical research and its translation into experiments and action began several years prior and...
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