ÌÇÐÄvlog¹ÙÍø

Gavel and scales of justice on a green-felted desk in front of bookshelves.
Feature: How U.S. Courts Privilege Conservative Policy Outcomes

Maya Sen assesses the institutional and compositional features of U.S. federal courts that tend to bias them toward conservative policy outcomes.

Map of the united states with a pin in the midwest.
Feature: The U.S. Place-Based Policy Supply Chain

Dani Rodrik and Gordon Hanson document how vertical policy supply chains distribute resources from federal and state governments to recipients at the local level.

Political leader speaks into a microphone at a podium with an advisor standing behind her.
Feature: How Does Shaming Human Rights Violators Abroad Shape Attitudes at Home?

Lotem Bassan-Nygate theorizes that by shaming human rights violators abroad, governments can improve their image at home but may encourage tolerance toward certain domestic violations.

Two people sit at a desk in front of a laptop with rows of filing cabinets behind them.
Feature: Thinking (about Peace Science) in Time

Erica Chenoweth speaks to colleagues in the peace science community, reflecting on the world events that have shaped their scholarship and how researchers might think about the current geopolitical moment.

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

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).

Auditing the Use of Language Models to Guide Hiring Decisions

Gaebler, Johann D., Sharad Goel, Aziz Huq, Prasanna Tambe. "Auditing the Use of Language Models to Guide Hiring Decisions." April 3, 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.

Mitigating Included - and Omitted - Variable Bias in Estimates of Disparate Impact

Jung, Jongbin, Sam Corbett-Davies, Johann D. Gaebler, Ravi Shroff, and Sharad Goel. "Mitigating Included - and Omitted - Variable Bias in Estimates of Disparate Impact." .

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.

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Guha, Neel, Sharad Goel, et al. "LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models." August 23, 2023.

Designing equitable algorithms

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

Automated Court Date Reminders Reduce Warrants for Arrest: Evidence from a Text Messaging Experiment

Chohlas-Wood, Alex, Madison Coots, Joe Nudell, Julian Nyarko, Emma Brunskill, Todd Rogers, and Sharad Goel. "Automated Court Date Reminders Reduce Warrants for Arrest: Evidence from a Text Messaging Experiment." .

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.

Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making

Chohlas-Wood, Alex, Madison Coots, Henry Zhu, Emma Brunskill, and Sharad Goel. "Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making." February 2022.

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.

Breaking Taboos in Fair Machine Learning: An Experimental Study

Nyarko, Julian, Sharad Goel, and Roseanna Sommers. "Breaking Taboos in Fair Machine Learning: An Experimental Study." EAAMO '21: Equity and Access in Algorithms, Mechanisms, and Optimization. Association for Computing Machinery, 2021.

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.

The accuracy, equity, and jurisprudence of criminal risk assessment

Goel, Sharad, Ravi Shroff, Jennifer Skeem, and Christopher Slobogin. "The accuracy, equity, and jurisprudence of criminal risk assessment." Research handbook on Big Data Law. Ed. Roland Vogl. Edward Elgar Publishing, 2021, 9-28.