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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

Dynamic Assignment of Patients to Primary and Secondary Inpatient Units: Is Patience a Virtue?

Saghafian, Soroush, Derya Kilinic, and Stephen J. Traub. "Dynamic Assignment of Patients to Primary and Secondary Inpatient Units: Is Patience a Virtue?" The Cambridge Handbook of Healthcare Productivity, Efficiency, Effectiveness. Ed. Shawna Grosskopf, Vivian Valdmanis, and Valentin Zelenyuk. New York: Cambridge University Press, 2024, 612-656.

Using Machine Learning to Demystify Startups’ Funding, Post-Money Valuation, and Success

Ang, Yu Qian, Andrew Chia, and Soroush Saghafian. "Using Machine Learning to Demystify Startups’ Funding, Post-Money Valuation, and Success." Innovative Technology at the Interface of Finance and Operations. Ed. Volodymyr Babich, John R. Birge, and Hilary Gilles. Springer, Cham, 2022, 271-296.

Using Machine Learning to Demystify Startups’ Funding, Post-Money Valuation, and Success

Ang, Yu Qian, Andrew Chia, and Soroush Saghafian. "Using Machine Learning to Demystify Startups’ Funding, Post-Money Valuation, and Success." Innovative Technology at the Interface of Finance and Operations. Ed. Volodymyr Babich, John R. Birge, and Gilles Hilary. Springer, 11 May 2021, 271-296.