Institute for Quantitative Social Science (IQSS)

05/28/2026

Congratulations to the Harvard Class of 2026! To the members of the IQSS community in particular who graduate today, keep asking questions and putting your knowledge to work solving the world's challenges. We’re proud to have been part of your journey.

05/28/2026

It is always bittersweet to see graduating colleagues leave, but we are excited to see what the newest IQSS alumni have lined up next in their careers and studies.

In our latest feature, affiliates from the Class of 2026 share their post-graduation plans:

https://www.iq.harvard.edu/news/2026/05/class-2026-iqss-whats-next

We are excited to see what the graduating members of the IQSS community are doing next in their journeys. Some of our graduating affiliates share their post-graduation plans.

05/14/2026

On Wed 5/20, join us in Lamont Library to learn how the Harvard can help you comply with funder and journal data sharing policies, support the discovery of and access to FAIR (findable, accessible, interoperable, and reusable) data, and result in more visibility and higher impact for research projects.

https://support.dataverse.harvard.edu/event/better-research-vi-data-sharing-harvard-dataverse-person

05/12/2026

Congratulations to IQSS affiliate Dan Carpenter, Chair of the Department of Government, on being named a Harvard College Professor. He is one of five faculty members honored with this professorship for “an unwavering commitment to enriching the undergraduate experience.”

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, Edgerley Family Dean of the Faculty of Arts and Sciences, announced the recipients at the May 5 Mee...

05/07/2026

Members of the IQSS team, Phil Durbin and Gustavo Durand, are in Riga today to commemorate the first year of Latvia's national research data repository, ! We look forward to more collaboration in the years to come with with DataverseLV in the global Dataverse community.

04/30/2026

Thurs at 4:30, Stanford University Professor Gregory Martin looks at how much influence news outlets have on their audiences and political agenda with "Agenda Setting and Market Power in Online News" at the last Alesina Seminar of the Spring Term.

https://www.iq.harvard.edu/event/gregory-martin-alesina-seminar

04/23/2026

Starting at 4:30 - New York University associate professor Tara Slough examines the interaction between politicians and bureaucrats, and its effects on social policy, with "Bureaucratic Incentives and Data Production: Evidence from Social Registries" at this week's Alesina Seminar.

https://www.iq.harvard.edu/event/tara-slough-alesina-seminar

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...

04/16/2026

Thursday at 4:30pm: University of Rochester professor John Duggan unpacks two-candidate elections with "Multidimensional Elections" in this week's Alesina Seminar.
https://www.iq.harvard.edu/event/john-duggan-alesina-seminar

04/16/2026

Submissions are open for this year's Center for Geographic Analysis Conference, which takes place October 2–3 and commemorates the CGA's 20th anniversary with the theme "Celebrating Geographic Analysis: Past, Present, and Future.” See the details on the :

https://gis.harvard.edu/call-papers-2026-cga-conference

Call for Papers: 2026 CGA Conference 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, exce...

04/14/2026

Starting at 12:00 pm ET on Wednesday: Harvard researcher Xiang Meng addresses a challenge in causal inference with "Reliable Inference for Matching Estimators with Control Reuse: A Single-Matching Variance Approach" at this week's workshop.



https://appliedstatsworkshopgov3009.hsites.harvard.edu/event/xiang-meng-harvard