Thu, Sep 23, 2021 — Thu, Dec 16, 2021
Agenda 2021 (October - December) October 28, 2021 Hamish Patten (Oxford University) and Andreas Gros (Facebook) - Mobility Impact Analysis November 23, 2021 Boyeoung Hong (NYU) - Disaster Risk Reduction & Mobility December 16, 2021 Esteban Moro (MIT) and Alex Pompe (Facebook) - Data Ethics & Privacy
Thu, Sep 23, 2021 at 09:00am — 10:00am
We are delighted to invite you to our third meeting of the Disaster Mobility Data Network. This session will present summary deliberations from the Harvard Radcliffe Seminar Series held in March and April 2021, in consulation with nearly 40 technologists, scientists, lawyers and humanitarian responders from around the world.
Published in New England Journal of Medicine, Medicine and Society (2021)
September 1, 2021 by Satchit Balsari, M.D., M.P.H., Mathew V. Kiang, Sc.D., and Caroline O. Buckee, D.Phil.
by Amarica Rafanelli
The environments in which disasters occur are changing. Populations are denser. Climates are more extreme. And technology is burgeoning into new realms. These changes have ushered in a new era of disaster response.
Published in BMC Public Health, 2021 Jan 27; 21(1):226.
January 27, 2021 by Chang, M.-C., Kahn, R., Li, Y.-A., Lee, C.-S., Buckee, C. O., & Chang, H.-H.
OpenDP: open-source software tools for privacy-protective statistical analysis of sensitive personal data.
by Abhishek Bhatia
The COVID-19 pandemic has underscored the importance of developing analytical pipelines that leverage data streams generated by individuals and communities to drive data-driven responses to crises. As these data increasingly exchange hands within agencies and are shared publicly for broader research, Salil Vadhan from Harvard SEAS and Navin Vembar from Camber Systems discuss the inadequacy of traditional methods for the protection of sensitive personal data.
Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions
Published in Emerging Infectious Diseases, 26(7), 1465–1469
July 1, 2020 by De Salazar, P. M., Niehus, R., Taylor, A., Buckee, C. O., & Lipsitch, M.
Challenges to Transforming Unconventional Social Media Data into Actionable Knowledge for Public Health Systems during Disasters
Published in Disaster Medicine and Public Health Preparedness, 14(3), 352–359
June 1, 2020 by Chan, J. L., & Purohit, H.
Published in Science (New York, N.Y.), 368(6487), 145–146
April 10, 2020 by Buckee, C. O., Balsari, S., Chan, J., Crosas, M., Dominici, F., Gasser, U., Grad, Y. H., Grenfell, B., Halloran, M. E., Kraemer, M. U. G., Lipsitch, M., Metcalf, C. J. E., Meyers, L. A., Perkins, T. A., Santillana, M., Scarpino, S. V., Viboud, C., Wesolowski, A., & Schroeder, A.
Using predicted imports of 2019-nCoV cases to determine locations that may not be identifying all imported cases
February 11, 2020 by Martinez de Salazar Munoz, P., Niehus, R., Taylor, A., Buckee, C., & Lipsitch, M.