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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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July 11, 2024/Research

Q&A with Internal Research Fellow Owen Davis

Siegel In-House Research Fellow Owen Davis reflects on his recent working paper “Artificial Intelligence and Worker Power” and how he hopes to broaden conversation around AI and the workplace beyond just task automation.

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June 18, 2024/Research

The Ghost Stays in the Picture, Part 2: Data Casts Shadows

Read part two of Siegel Emerging Technology Consultant Eryk Salvaggio’s three part series on the relationships between images, their archives, and datasets.

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June 12, 2024/Research

The Ghost Stays in the Picture, Part 1: Archives, Datasets, and Infrastructures

As part of his 2024 fellowship with Flickr Foundation, Siegel Emerging Technolocy Consultant Eryk Salvaggio dives into the relationships between images, their archives, and datasets through a creative research lens. This three-part series focuses on the ways archives such as Flickr can shape the outputs of generative AI in ways akin to a haunting.

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May 28, 2024/From Our Grantees, Research

Q&A with Siegel Research Fellow at Princeton’s Center for Information Technology Policy Basileal Imana

Siegel Research Fellow Basileal Imana reflects on his recent work, highlighting importance of external auditing for algorithmic bias and exploring the tension between privacy and transparency for social media companies.

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