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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

Effective Generative AI: The Human-Algorithm Centaur

Saghafian, Soroush, and Lihi Idan. "Effective Generative AI: The Human-Algorithm Centaur." Harvard Data Science Review Special Issue 5 (December 19, 2024).

Genomic heterogeneity and ploidy identify patients with intrinsic resistance to PD-1 blockade in metastatic melanoma

Tarantino, Giuseppe, Cora A. Ricker, Annette Wang ... Soroush Saghafian et al. "Genomic heterogeneity and ploidy identify patients with intrinsic resistance to PD-1 blockade in metastatic melanoma." Science Advances 10.48 (29 November 2024): eadp4670.

To Batch or Not to Batch: Test-Ordering Variability in the Emergency Department and the Impact on Care Delivery

Jameson, Jacob, Soroush Saghafian, Robert S. Huckman, and Nicole Hodgson. "To Batch or Not to Batch: Test-Ordering Variability in the Emergency Department and the Impact on Care Delivery." ÌÇÐÄvlog¹ÙÍø Faculty Research Working Paper Series RWP23-032, November 2023.

Effective Generative AI: The Human-Algorithm Centaur

Saghafian, Soroush. "Effective Generative AI: The Human-Algorithm Centaur." ÌÇÐÄvlog¹ÙÍø Faculty Research Working Paper Series RWP23-030, October 2023.

Understanding the Opioid Epidemic: Human-Based Versus Algorithmic-Based Perceptions, Treatments, and Guidelines

Boloori, Alireza, Soroush Saghafian, and Stephen J. Traub. "Understanding the Opioid Epidemic: Human-Based Versus Algorithmic-Based Perceptions, Treatments, and Guidelines." ÌÇÐÄvlog¹ÙÍø Faculty Research Working Paper Series RWP22-026, December 2022.

Algorithm, Human, or the Centaur: How to Enhance Clinical Care?

Orfanoudaki, Agni, Soroush Saghafian, Karen Song, Harini A. Chakkera, and Curtiss B. Cook. "Algorithm, Human, or the Centaur: How to Enhance Clinical Care?" ÌÇÐÄvlog¹ÙÍø Faculty Research Working Paper Series RWP22-027, December 2022.

Employee Health Plans Powered by Analytics

Hopp, Wallace, Jun Li, Soroush Saghafian, and Guihua Wang. "Employee Health Plans Powered by Analytics." Management and Business Review 1.3 (2021).

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.

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." ÌÇÐÄvlog¹ÙÍø Faculty Research Working Paper Series RWP20-028, August 2020.

The Internet of Things and Information Fusion: Who Talks to Who?

Saghafian, Soroush, Brian Tomlin, and Stephan Biller. "The Internet of Things and Information Fusion: Who Talks to Who?" ÌÇÐÄvlog¹ÙÍø Faculty Research Working Paper Series RWP18-009, February 2018.

A cµ Rule for Two-Tiered Parallel Servers

Saghafian, Soroush, and Michael H. Veatch. "A cµ Rule for Two-Tiered Parallel Servers." IEEE Transactions on Automatic Control 61.4 (April 2016): 1046-1050.