Harnessing the Geospatial Data Revolution for Good: Characterizing Populations Displaced by Disaster

Lead PI: Robert Chen

Unit Affiliation: Center for International Earth Science Information Network (CIESIN)

September 2018 - June 2020
Inactive
Global
Project Type: Research

DESCRIPTION: The project is exploring the utility of Internet geolocation data, night-time lights, and other novel data sources to monitor and detect possible population movements, both planned and unplanned.

OUTCOMES: Potential new approaches for detecting or monitoring population movement

SPONSOR:

Data Science Institute

ORIGINATING SPONSOR:

Schmidt Futures

RESEARCH TEAM:

Greg Yetman, Kytt MacManus, Susana Adamo, Alex de Sherbinin

KEYWORDS

migration demography displacement machine learning population big data

THEMES

Stewardship of the planet