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

BIDS Senior Fellow Josh Blumenstock is offering these four data science projects through UC Berkeley's Undergraduate Research Apprentice Program (URAP).

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 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: Machine learning can help get COVID-19 aid to those who need it most (Nature, May 2020).

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Fall 2022 BIDS Undergraduate Internships - Apply August 17-29
Spring 2022 BIDS Undergraduate Internships - Apply January 11-24
Fall 2021 BIDS Undergraduate Internships - Apply August 18-30
Spring 2021 BIDS Undergraduate Internships - Apply January 12-25 
Fall 2020 BIDS Undergraduate Internships - Apply August 19-31

BIDS Affiliates

Joshua Blumenstock

School of Information, UC Berkeley
BIDS Faculty Council