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F. Daniel Hidalgo

Academic Director

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 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.

Related Work

  • Research 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.

  • Update October 2019

    Raising the Bar: Improving Reentry Services for Mental Health and Substance Abuse in the Criminal Justice System

    Middlesex Sheriff's Office, Advocates, and MIT GOV/LAB launched a new pilot focused on improving reentry services for inmates at Middlesex Jail & House of Correction.

  • 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.

  • 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.

  • 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?

  • 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.

  • 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.

  • 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.

  • 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.

  • Research January 1970

    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.

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