Data Science Associate
Soubhik is the data science research associate at the MIT GOV/LAB. His primary interest is developing machine learning and data visualization methods for problems in political science, particularly effective governance, international trade, and social choice. Soubhik is a recent graduate from Tufts University with a B.S. in Mathematics and Computer Science.
News July 2018
Mapping Local Government Transparency in the U.S.
Using big data and a machine learning algorithm built from scratch, we’re working to quickly and efficiently grade governments on their openness.
News December 2017
Broad Policies, Narrow Networks: Data Science to Measure Healthcare Access
Bayes Impact’s Mehdi Jamei presented new tools looking at access to healthcare in California at GOV/LAB’s Data Science to Solve Social Problems seminar series.
News February 2018
Re-Imagining Criminal Justice: The Long Beach Justice Lab
Recapping Alma Castro's talk on the Long Beach Innovation Team as part of our Data Science to Solve Social Problems series.
News February 2017
Data-Driven Government: A Case Study in U.S. Criminal Justice
How can big data be leveraged to improve government? We report back evidence from the 2017 Winter Innovation Summit on the U.S. criminal justice system.
Projects December 2017
Data Science to Solve Social Problems
GOV/LAB's Data Science to Solve Social Problems seminar series brings together researchers and practitioners to discuss technical solutions to "real world" social problems.
Projects August 2016
Digital Governance: Using Big Data to Measure Government Transparency Online
Can automated and big data methods measure the transparency of government websites around the world? We're developing a tool to do just that.