F. Daniel Hidalgo
Faculty Associate
email dhidalgo@mit.edu
website http://www.mit.edu/~dhidalgo/
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 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.
Related Work
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Update July 2018
Pilot Re-entry Project on Mental Health and Co-occurring Substance Use in Middlesex
PRESS RELEASE: MIT GOV/LAB will serve as a research collaborator to evaluate a pilot re-entry project focusing on mental health and co-occurring substance use disorders with the Middlesex Sheriff's Office.
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Update 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.
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Research 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?
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Research 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.
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Update February 2017
Reaching the New Voter: Political Analytics for Modern Campaigns
GOV/LAB's Data Science to Solve Social Problems seminar series continues with Charlotte Swasey from Civis Analytics - March 13th. RSVP below.
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Update 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.
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Research 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.