Since joining the faculty of MIT’s Department of Political Science in 2012, F. Daniel Hidalgo, known to many as “Danny,” has built a reputation as both a meticulous quantitative scholar and one of the department’s most generous and steadfast mentors.
A member of the 2025–27 Committed to Caring cohort, Hidalgo is recognized for a style of mentorship that combines intellectual intensity with humility, approachability, and a willingness to show up for students. A quantitative political scientist whose research focuses on elections, democratic accountability, and political behavior in Brazil and Latin America, his scholarship uses statistical and experimental methods to study how institutions shape political outcomes. According to his students, the rigor he brings to his research is matched by an equally strong commitment to the people he mentors.
Hidalgo’s reputation is illuminated repeatedly in nominations. One student, reflecting on years of mentorship, aptly summed this up by saying, “I have yet to meet a professor that cares more for their students.”
Showing the mess, not just the map
Most MIT political science PhD students encounter Hidalgo in their first year, when he teaches the department’s quantitative methods sequence. For many, the course is a turning point — an introduction to causal inference and the logic of experimentation that reshapes how they think about political science itself.
