Using Data Science to Improve COVID-19 Response in Developing Countries

BIDS Senior Fellow Josh Blumenstock is offering this set of three data science projects through UC Berkeley's Undergraduate Research Apprentice Program (URAP) for the Fall 2020 academic semester. Eligible undergraduates may apply online August 19-31, 2020.

The Data-Intensive Development Lab at UC Berkeley is providing data science support to the governments of several Low and Middle Income Countries, as well as humanitarian organizations like GiveDirectly, who are doing their best to effectively respond to the evolving humanitarian crisis caused by the COVID-19 pandemic. So far, we have provided technical support to governments in Afghanistan, Bangladesh, Ghana, Mali, Mexico, Nigeria, Senegal, Sudan, Togo, and Uganda.

The main focus of our current work is on using data science methods (machine learning, computer science, statistics, econometrics, interactive data visualization) to help governments get emergency cash aid to those who need it most. You can read a short article by Prof. Blumenstock about these efforts here:

For Fall 2020, there are open positions for undergraduates in the three following areas:
 - Data visualization
 - Data engineering
 - Data analysis

BIDS Affiliates

Joshua Blumenstock

School of Information, UC Berkeley
BIDS Faculty Council