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January 13, 2026/Q&A, Research

AI and the Labor Market: Megan Rivera on How Policymakers Can Regulate AI to Create a Better Economy for All

Megan Rivera was a 2024-2025 Siegel Research Fellow and is a fellow at the Washington Center for Equitable Growth, where she studies the impact of AI on the labor market and economy, among other topics. We sat down with Megan to learn more about her recent policy brief, how she found her fit working in legislative politics, the potential for integrating worker voice into decision-making around AI, and how the Siegel Research Fellowship helped expand her horizons.

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January 12, 2026/News, Research

Meet Our 2025-2026 Siegel Research Fellows

Siegel Family Endowment is proud to announce the 2025–2026 cohort of Siegel Research Fellows. This cohort brings together a group of scholars and practitioners working at the intersections of technology, labor, and governance. Spanning economics, computer science, law, ethnography, public policy, and public interest technology, the fellows are united by a shared focus on power, participation, and accountability in technological systems.

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October 22, 2025/Q&A, Research

AI and the Search for Truth: Kylan Rutherford on Data Voids, Distrust, and the Pathways to Better Information

Kylan Rutherford is a Siegel Research Fellow at New York University’s Center for Social Media and Politics, where he studies the complex relationship between social media content creators, platform consumers, and the platforms themselves. We sat down with Kylan to learn more about his research on how AI is affecting search, misinformation, and data voids.

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June 10, 2025/Reflections, Research

Independent Research for Improbably Good Futures: Reflections and Takeaways from Our 4th Annual Fellow Convening 

Each year, we bring together our Siegel fellow cohort for an annual convening. This year’s convening, which included 14 fellows, was held in New York City in mid-March. The timing of our gathering this year felt significant.

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June 3, 2025/From Our Grantees, Q&A, Research

The Human in the Loop: Pegah Moradi on Automation, Discretion, and the Future of Frontline Work

Pegah Moradi is a PhD candidate in Information Science at Cornell University, where she studies the social and organizational dimensions of digital automation, with a focus on its impacts on work and workers.

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May 22, 2025/Q&A, Research

Q&A with Siegel Research Fellow at the Center for Democracy and Technology, Ruchika Joshi

Ruchika Joshi is a Siegel Research Fellow at the Center for Democracy & Technology’s AI Governance Lab, where she develops technically rigorous solutions for industry […]

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December 10, 2024/Research

From Oscilloscopes to AI Policy: Building a Foundation of Public AI Understanding with Eleanor Tursman

Eleanor Tursman, a Siegel Fellow from 2022 to 2024, serves as an Emerging Technologies Researcher at The Aspen Institute, focusing on the intersection of novel technologies, public education, and public policy. They recently sat down with Siegel Emerging Tech Advisor Eryk Salvaggio to discuss their journey and work on AI primers, literacy, and interdisciplinary approaches to ecosystem change

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December 3, 2024/Big Ideas, Research

Black-oriented EdTech and public interest technology: a framework for accessible and ethically designed technology for K-12 students

Read new Siegel In-House Research Fellow Symon Campbell’s latest publication in Journal of Integrated Global STEM analyzing three K-12 Black-oriented EdTech platforms developed by Black women—KaiXR, Reconstruction, and TunTimo—leverage public interest technology principles to address educational inequities and counter racial biases in mainstream EdTech.

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October 14, 2024/Research

Q&A with Siegel Research Fellow at the University of North Carolina’s Center for Information, Technology, and Public Life Yvonne Eadon 

Yvonne Eadon is an assistant professor in the School of Information Science at the University of Kentucky investigating feminized conspiracy theories and the gender dynamics within online communities that form around them, as well as how information institutions interface with and assist researchers with alternative or conspiratorial viewpoints. 

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October 2, 2024/Big Ideas, Research

We Need Better Data on Workplace AI

Owen Davis is a labor economist and post-doctoral research fellow at Siegel Family Endowment, where he explores the workforce impacts of artificial intelligence and emerging technologies. Read his latest op-ed, featured in Tech Policy Press, about how we need to collect better data about not only how AI is affecting what work we do, but how it is done.

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August 4, 2024/Research

Q&A with Siegel Research Fellow at Cornell University’s Department of Information Science Breanna Green 

Siegel Research Fellow Breanna Green reflects on her recent projects that pair her background in psychology and skills in computer science to examine online conversations about political violence.

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