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.
A nexus for collaborative content, dialogue, understanding and action in an interconnected world

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.

More
Login or Join our community to leave a comment
Share this InterDialogue
A nexus for collaborative content, dialogue, understanding and action in an interconnected world
Share this InterDialogue
9
No data was found
No data was found

Related Interdialogues

Jordi Soriano: Neurophysics, Neuronal Cultures, Neurodegenerative Disease, and Augmented Humans

Ashish Kothari: Biocultural Diversity in India, Rights of Nature, and Earthy Governance

K. Brandon Barker: Anthropomorphism, Cognition, Human Exceptionalism, Computational Folklore, and AI

Arnab Bhattacharya: Science Communication and Education, Public Health, Semiconductors, and Energy Technologies in India

Javier Buldú: Complexity, Football, AI, and Networks of Networks

Ciro Cattuto: Computational Social Science, Interdisciplinarity, Complexity, and AI

Login

Sign up to get The InterPlex newsletter

Update Password

Update Password *
Confirm New Password *