ÌÇÐÄvlog¹ÙÍø

Delivery worker wearing a medical mask and carrying packages.
Feature: The Impact of State Paid Sick Leave Laws on Service Workers

Daniel Schneider finds that state paid sick leave laws increased service workers’ access to paid sick leave and reduced the share of service workers who worked while sick.

A family with a father, mother, and two small children walking on a dirt path.
Feature: Connecting Absolute and Relative Intergenerational Mobility

Deirdre Bloome offers two frameworks for understanding the relationship between types of intergenerational mobility, or whether people are socioeconomically better off than their parents.

Two women in rural India dressed colorfully and carrying baskets on their heads.
Feature: Studying a Government Program to Support Women’s Self-Help Groups

Michael Walton explores the interactions between state and society in rural India within a major community-based development program, finding two major tensions.

A network of computer motherboards and other parts assembled to look like a miniature city.
Feature: The Data-Informed City

Jorrit de Jong presents a comprehensive framework for how cities can use data to address problems more effectively, efficiently, equitably, and with better accountability.

Harvard Kennedy School faculty disseminate their research in working publications and papers that contribute to public knowledge and fuel policy innovation. This list features recent faculty publications, including journal articles, books, edited volumes, research papers, and public testimony.

Faculty Publications

Auditing large language models for race & gender disparities: Implications for artificial intelligence-based hiring

Gaebler, Johann D., Sharad Goel, Aziz Huq, and Prasanna Tambe. "Auditing large language models for race & gender disparities: Implications for artificial intelligence-based hiring." Behavioral Science & Policy (2025).

A Framework for Considering the Value of Race and Ethnicity in Estimating Disease Risk

Coots, Madison, Soroush Saghafian, David M. Kent, and Sharad Goel. "A Framework for Considering the Value of Race and Ethnicity in Estimating Disease Risk." Annals of Internal Medicine 178.1 (January 2025): 98-107.

Racial Bias in Clinical and Population Health Algorithms: A Critical Review of Current Debates

Coots, Madison, Kristin Linn, Sharad Goel, Amol Navathe, and Ravi Parikh. "Racial Bias in Clinical and Population Health Algorithms: A Critical Review of Current Debates." Annual Review of Public Health (forthcoming).

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor

Ladin, Keren, John Cuddeback, O. Kenrik Duru, Sharad Goel, William Harvey, Jinny G. Park, Jessica K. Paulus, Joyce Sackey, Richard Sharp, Ewout Steyerberg, Berk Ustun, David van Klaveren, Saul N. Weingart, and David M. Kent. "Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor." npj digital medicine 7 (2024): 290.

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor

Ladin, Keren, John Cuddeback, O. Kenrik Duru, Sharad Goel, et al. "Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor." NPJ Digital Medicine 7.290 (2024).

The disparate impacts of college admissions policies on Asian American applicants

Grossman, Joshua, Sabina Tomkins, Lindsay Page, and Sharad Goel. "The disparate impacts of college admissions policies on Asian American applicants." Scientific Reports 14 (2024).

Showing high-achieving college applicants past admissions outcomes increases undermatching

Tomkins, Sabina, Joshua Grossman, Lindsay Page, and Sharad Goel. "Showing high-achieving college applicants past admissions outcomes increases undermatching." PNAS 120.45 (October 30, 2023): e2306017120.

Forgotten but not gone: A multi-state analysis of modern-day debt imprisonment

Gaebler, Johann D., Phoebe Barghouty, Sarah Vicol, Cheryl Phillips, and Sharad Goel. "Forgotten but not gone: A multi-state analysis of modern-day debt imprisonment." PLOS One 18.9 (September 13, 2023).

The Measure and Mismeasure of Fairness

Corbett-Davies, Sam, Johann D. Gaebler, Hamed Nilforoshan, Ravi Shroff, and Sharad Goel. "The Measure and Mismeasure of Fairness." Journal of Machine Learning Research 24 (2023): 1-117.

Designing equitable algorithms

Chohlas-Wood, Alex, Madison Coots, Sharad Goel & Julian Nyarko. "Designing equitable algorithms." nature computational science 3.7 (July 2023): 601-610.

Blocks as Geographic Discontinuities: The Effect of Polling-Place Assignment on Voting

Tomkins, Sabina, Keniel Yao, Johann Gaebler, Tobias Konitzer, David Rothschild, Marc Meredith, and Sharad Goel. "Blocks as Geographic Discontinuities: The Effect of Polling-Place Assignment on Voting." Political Analysis 31.2 (April 2023): 165-180.

Racial bias as a multi-stage, multi-actor problem: An analysis of pretrial detention

Grossman, Joshua, Julian Nyarko, and Sharad Goel. "Racial bias as a multi-stage, multi-actor problem: An analysis of pretrial detention." Journal of Empirical Legal Studies 1 (March 2023): 86-133.

Measuring racial and ethnic disparities in traffic enforcement with large-scale telematics data

Cai, William, Johann Gaebler, Justin Kaashoek, Lisa Pinals, Samuel Madden, and Sharad Goel. "Measuring racial and ethnic disparities in traffic enforcement with large-scale telematics data." PNAS Nexus 1.4 (September 2022).

Adaptive Sampling Strategies to Construct Equitable Training Datasets

Cai, William, Ro Encarnacion, Bobbie Chern, Sam Corbett-Davies, Miranda Bogen, Stevie Bergman, and Sharad Goel. "Adaptive Sampling Strategies to Construct Equitable Training Datasets." FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency (June 2022): 1467-1478.

Identifying and Measuring Excessive and Discriminatory Policing

Chohlas-Wood, Alex, Marissa Gerchick, Sharad Goel, Aziz Z. Huq, Amy Shoemaker, Ravi Shroff, and Keniel Yao. "Identifying and Measuring Excessive and Discriminatory Policing." University of Chicago Law Review 89.2 (March 2022): 441-475.

A Causal Framework for Observational Studies of Discrimination

Gaebler, Johann, William Cai, Guillaume Basse, Ravi Shroff, Sharad Goel, and Jennifer Hill. "A Causal Framework for Observational Studies of Discrimination." Statistics and Public Policy 9.1 (2022): 26-48.

Probability Paths and the Structure of Predictions over Time

Lin, Zhiyuan Jerry, Hao Sheng, Sharad Goel. "Probability Paths and the Structure of Predictions over Time." Advances in Neural Information Processing System 34 (2021): 15098-15110.

Bandit algorithms to personalize educational chatbots

Cai, William, Josh Grossman, Zhiyuan Jerry Lin, Hao Sheng, Johnny Tian-Zheng Wei, Joseph Jay Williams, and Sharad Goel. "Bandit algorithms to personalize educational chatbots." Machine Learning 110 (May 2021): 2389-2418.

Partisan selective exposure in online news consumption: evidence from the 2016 presidential campaign

Peterson, Erik, Sharad Goel, and Shanto Iyengar. "Partisan selective exposure in online news consumption: evidence from the 2016 presidential campaign." Political Science Research and Methods 9.2 (April 2021): 242-258.