Network Partnerships

We work in partnership with Facebook, Camber Systems, and Cuebiq, who provide our team with aggregated data sets in accordance with data use agreements and strict privacy-preserving policies. Through direct connections with departments of health at the city, state, and country-level, we provide situation reports to decision-makers who are implementing social distancing interventions. These data are critical in providing timely insights into the effectiveness of social distancing measures, for identifying potentially high-risk zones, and for planning the roll-back of restrictions.

Partner Organizations & Institutions

  • Boston University
  • Direct Relief
  • Flowminder
  • Harvard TH Chan School of Public Health
  • Indian Institute of Science
  • Indian Institute of Technology Bangalore
  • Indian Institute of Technology Bombay
  • Indian Institute of Technology Madras
  • Indian Institute of Technology Tirupati
  • Johns Hopkins University Bloomberg School of Public Health
  • Mahidol University
  • Northeastern University
  • Northwestern University
  • Princeton University
  • Telenor Research
  • Texas A&M University
  • University of California Berkeley
  • University of Cape Town
  • University of Chicago
  • University of Colorado Boulder
  • University of Michigan
  • University of Oxford
  • University of Southampton
  • University of Texas at Austin
  • Yale University School of Public Health
  • Wadhwani AI
  • Warwick University

Communities & Locations

  • Chile
  • India
  • Peru
  • United Kingdom
  • United States
    • Boston, Massachusetts
    • California
    • Cambridge, Massachusetts
    • Chicago, Illinois
    • Colorado
    • Houston, Texas
    • Kansas City, Missouri
    • Los Angeles, California
    • Miami, Florida
    • New Orleans, Louisiana
    • New York City, New York
    • Santa Clara, California
    • Syracuse, New York
    • Washington State

Affiliated Researchers

  • Alejandro Feged, Bogota
  • Alex Perkins, Notre Dame University
  • Alexandra Wood, Harvard Law School
  • Ali Mostafavi, Texas A&M University
  • Amy Wesolowski, Johns Hopkins University Bloomberg School of Public Health
  • Andy Tatem, University of Southampton
  • Arnab Jana, Indian Institute of Technology Bombay
  • Ayesha Mahmud, University of California at Berkeley
  • Bailey Fosdick, Colorado State University
  • Balaram Ravindran, Indian Institute of Technology Madras
  • Borworn Panklang, Mahidol University
  • Brooke Nichols, Boston University
  • Bryan Grenfell, Princeton University
  • Christophe Fraser, Oxford Big Data Institute
  • Christine Tedijanto, Harvard TH Chan School of Public Health
  • Clay Heaton, HTEC, Beth Israel Deaconess Medical Center
  • Daniel Klein, IDM
  • Daniel Larremore, University of Colorado at Boulder
  • Daniel Weinberger, Yale School of Public Health
  • Dennis Chao, IDM
  • Hao Hu, Bill and Melinda Gates Foundation
  • Helen Wearing, University of New Mexico
  • Hsiao-Han Chang, National Tsing Hua University
  • Jennifer Chan, Northwestern University
  • Jessica Metcalf, Princeton University
  • Jon Zelnor, University of Michigan
  • Justin Lessler, Johns Hopkins University Bloomberg School of Public Health
  • Kalidas Yeturu, Indian Institute of Technology Tirupati
  • Kenth Engo-Monsen, Telenor Research
  • Krishna Prapoorna, Indian Institute of Technology Tirupati
  • Kulchada Pongsoipetch, Mahidol University
  • Lerato Magosi, Harvard T.H. Chan School of Public Health
  • Linus Bengtsson, Flowminder
  • Mathew Kiang, Stanford University School of Medicine
  • Mauricio Santillana, Harvard Medical School
  • Mike Famulare, IDM
  • Mortiz Kraemer, University of Oxford
  • Nick Geard, University of Melbourne
  • Nishant Kishore, Harvard T.H. Chan School of Public Health
  • Pamela Martinez, Harvard T.H. Chan School of Public Health
  • Paul Doherty, NAPSG Foundation
  • Raghu Dharmaraju, Wadhwani AI
  • Rajesh Sundaresan, Indian Institute of Science
  • Rebecca Harned, NAPSG Foundation
  • Rebecca Kahn, Harvard T.H. Chan School of Public Health
  • Rene Neihus, Harvard T.H. Chan School of Public Health/ECDC
  • Richard Maude, MORU
  • Rolando Acosta, Harvard T.H. Chan School of Public Health
  • Roy Burstein, IDM
  • Ryan Layer, UC Boulder
  • Saket Kanth, Wadhwani AI
  • Sam Brand, University of Warwick
  • Sam Scarpino, Northeastern University
  • Sarah Cobey, University of Chicago
  • Sheetal Silal, University of Cape Town
  • Shenyue Jia, Chapman University
  • Srinath Srinivasa, Indian Institute of Technology Bangalore
  • Stephen Riley, Imperial College
  • Urs Gasser, Harvard Law School

Support Team

The following individuals are members of the support team for the COVID-19 Mobility Data Network:

  • Alissa Scharf, Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health
  • Ankur Goel, Harvard Biodesign Lab; B.Tech, Indian Institute of Technology, Delhi