- Civic AnalyticsLearn more
The Civic Analytics program, led by Professor Constantine Kontokosta, works directly with cities to acquire, analyze, and derive insight from data in order to solve tangible and significant problems of city management, policy, and planning.Health, Environment, and PolicyLearn more
The Health, Environment, and Policy program, led by Professor Kevin Cromar, improves health through scientific research, direct policy engagement, and collaboration with agencies at the local, federal, and international level.LitmusLearn more
The Litmus program, led by Professor Angela Hawken, works with public agencies and the people they serve to develop and rigorously test new ideas for improving the performance of the public sector.Transportation and Land UseLearn more
The Transportation and Land Use program, led by Professor Eric Goldwyn, examines transit-infrastructure projects, land-use policies, and complementary data sets to understand how public agencies build, manage, and pay for capital projects, like subway expansions, bicycle lanes, and high speed rail.
- Urban ExpansionLearn more
The Urban Expansion program, led by Professor Shlomo Angel and supported jointly with the NYU Stern Urbanization Project, works with rapidly growing cities to better prepare them for their inevitable growth.Director’s Office LabsLearn more
The Director’s Office, led by the Director of NYU Marron Institute, opportunely engages with researchers on urban-focused projects that can develop into full programs if they demonstrate impact and are viable.
The Dynamics of Urban Mobility Behavior
Mobile geolocation data provide new opportunities for near real-time understanding of local population activity, but raises significant social, ethical, and technical challenges. This project uses large-scale locational data to understand mobility behavior across the United States and develop privacy-preserving approaches to geolocational analytics. We are working to understand evacuation and recovery during natural disasters, public-space and park activity and utilization, neighborhood change and socioeconomic integration, and a real-time population census to supplement existing survey-based methods.
Currently, our research is focused on the COVID-19 pandemic. We are developing computational models derived from these data to (1) estimate exposure density across a range of temporal and spatial scales, which will enable public health officials and researchers to evaluate and predict transmission rates in a particular area; (2) measure and evaluate the extent and effectiveness of social (physical) distancing efforts over time and comparatively within and across neighborhoods and cities, as well as understand the disparate impacts on vulnerable communities and populations; and (3) measure the extent of disease spread based on movement and travel patterns between neighborhoods and communities, which will support predictions of the spatial-temporal patterns of disease outbreak and identify at-risk locations based on aggregated mobility.Scientific AmericanPress/ Sep 18,2020CloseSign up for the Marron Institute Mailing List
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