Berkman Klein Center heard calls to keep models “honest, helpful, harmless.” It’s a work in progress.

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Our annual conference will be held this year on October 2nd and 3rd, 2026. This conference is one of CGA’s signature events, attracting spatial researchers and practitioners from across campus and around the globe. Our 2026 conference will be no exception, except for one key detail: it will also be our 20th birthday!

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Scientific Reports - Large language models identify immigration attitudes in online discourse regardless of language

Nature Index 2025 ranks Harvard as #1 in the world in its first ever ranking of top social science research institutions, primarily crediting IQSS and IQSS’ Henry A. Murray Research Archive for the decision.

American institutions lead the way in this newly added Nature Index subject.

For more than 20 years, the Andrew Carnegie Foundation has marked Independence Day by recognizing a group of naturalized U.S. citizens whose contributions have strengthened the nation. The 2026 class…

By Stephen Ansolabehere and Brian F. Schaffner

Student speakers focus on celebrating difference while embracing ties that bind.

Five senior faculty members have been awarded Harvard College professorships for excellence in undergraduate teaching and for helping students “develop their intellectual passions.” Hopi Hoekstra,…

How do local politicians influence their constituents’ access to national means-tested social programs? I argue that they do so through personnel policy. Politicians rely on bureaucrats to maintain social registries—the administrative data used for means testing—and can therefore shape program eligibility by selecting and monitoring registry administrators to boost enrollment. Using social-registry microdata from Colombia and Brazil, I find that newly appointed bureaucrats do in fact exert more effort and classify more households as poor, in part because politicians monitor them more closely (as I find using an original survey of municipal registry administrators in Colombia)...

An enduring challenge in the political economy of elections is to construct a tractable model of two-candidate elections that accommodates multidimensional policy spaces, heterogeneous electorates, and mixed candidate motivations and simultaneously guarantees the existence of competitive pure-strategy Nash equilibria...

Matching estimators are fundamental in causal inference for drawing population-level conclusions from observational data, yet reliable inference remains challenging. While recent methodological advances have developed asymptotically valid bootstrap procedures and robust standard errors for regression after matching, practical applications reveal severe undercoverage—sometimes missing nominal rates by 20 percentage points even with thousands of observations...

Keep up to date with new releases of RSpace!

"In this paper, we define and measure a previously unstudied channel by which companies react to, and attempt to shape, politics: internal policy teams. We use the text of more than 100,000 job listings to classify the roles of roughly 100 million workers, identifying more than 250,000 individuals working in policy roles in the US..."

In the heart of Cambridge, Jason Ur, Stephen Phillips Professor of Archaeology and Ethnology and IQSS affiliate, is unearthing histories long obscured.

"How do voters’ calculations about and orientations towards risk affect American elections? In this paper, I develop and validate a new measure of political risk aversion, show that it is empirically and conceptually distinct from traditional measures of risk aversion across the social sciences, and demonstrate its substantial effects on American voting behavior..."

The Biden Administration enacted the largest federal policy framework to incentivize clean energy and decarbonization in U.S. history. We examine w...

June 2–3, 2026 in Boston...