We may be a small team, but our reach is mighty. Over the past quarter, we’ve traveled across the country and around the globe to seek out new perspectives, fresh solutions, and burgeoning insights that will shape our work in 2025.
Our latest grants reaffirm our commitment to building a more inclusive technological future by supporting comprehensive research, shaping human-centered policies, and fostering community-driven innovation to ensure these advancements benefit everyone.
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
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.
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.
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.
Read part two of Siegel Emerging Technology Consultant Eryk Salvaggio's three part series on the relationships between images, their archives, and datasets.
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.
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.
The breakneck progress of generative AI seems to be condensing into fresh momentum for comprehensive tech policy. However, to design effective, foward-looking policy, we must start with a shift in discourse around technology and technology policy from values-agnostic to values-driven.
Siegel Research Fellow Amy Winecoff reflects on her recent opinion piece “What Today’s AI Companies Can Learn from the Fall of Enron” and how her body of work has led to this moment.
Siegel Research Fellow Alumnus and Assistant Professor at Cornell University, J. Nathan Matias, reflects on the benefits of involving the public for more comprehensive AI research.
