F. Daniel Hidalgo
F. Daniel Hidalgo is the Cecil and Ida Green Associate Professor of Political Science at the Massachusetts Institute of Technology. He received his doctorate in Political Science at the University of California at Berkeley and received a BA at Princeton University. At MIT GOV/LAB, Hidalgo leads the Digital Governance project using big data and machine learning to measure government transparency online. Hidalgo is a past recipient of grants from the National Science Foundation, the Fulbright program, and the Experiments in Governance and Politics Network. His research focuses on the political economy of elections, campaigns, and representation in developing democracies, especially in Latin America, as well as quantitative methods in the social sciences. His work has appeared in journals such as the Journal of Politics, Review of Economic and Statistics and the American Journal of Political Science. His working paper “Voter Buying: Shaping the Electorate Through Clientelism” (with Simeon Nichter) received the Kellogg-Notre Dame Award for best paper in comparative politics.
Projects March 2020
Building Evidence on Citizen Engagement and Government Accountability
To support engaged scholarship and build a stronger evidence base, MIT GOV/LAB is supporting research on citizen engagement and government accountability.
Projects March 2020
Political Behavior of Development (PBD) Conference
MIT GOV/LAB holds an annual conference for scholars to present works in progress on political behavior in developing country contexts.
Projects March 2018
Unpacking the Black Box of Government Decision-Making
What incentivizes local officials to respond to citizen needs and demands? What constraints, motivations, and considerations influence the behavior of bureaucrats?
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.