Paolo Agnolin is a Postdoctoral Research Associate at Princeton University, Initiatives on Contemporary European Affairs (ICEA). He received his Ph.D. in Public Policy from Bocconi University, where he also taught, and was a Visiting Scholar at Duke University. His research lies at the intersection of comparative politics, political economy, and the politics of labor and technological change. He is particularly interested in how structural economic change and technological innovation reshape societies and influence both the demand and supply sides of politics in post-industrial societies.
Eduardo Zachary Albrecht is a political anthropologist with appointments as Professor at Mercy University and Adjunct Professor at Columbia University’s School of International and Public Affairs. His new book, Political Automation: An Introduction to AI in Government and Its Impact on Citizens (Oxford University Press 2025), offers a comparative examination of AI deployment in governance systems worldwide and its impact on democratic processes. In the past he served as Senior Fellow at the United Nations University’s Centre for Policy Research, where he led research on AI agent technologies in humanitarian action, including the development of AI-generated personas that can simulate conversations with refugees and conflict actors to support crisis response and peacebuilding efforts. His work focuses on the intersection of AI, deliberative processes, and government/IGO decision-making, with particular expertise in conflict prevention and democratic innovation.
Kevin J. Elliott is Lecturer in Ethics, Politics, and Economics at Yale University and is the author of Democracy for Busy People. His research interests lie primarily in democratic theory and institutional design, to which he brings an interdisciplinary approach drawing widely from political science, philosophy, and political economy.
Johannes Himmelreich is a philosopher who teaches and works in a policy school. He is an Associate Professor in Public Administration and International Affairs in the Maxwell School at Syracuse University. He works in the areas of political philosophy, applied ethics, and philosophy of science. Currently, he researches the ethics of data science, how the government should use AI, and algorithmic fairness under uncertainty. He published papers on “Responsibility for Killer Robots,” the trolley problem and the ethics of self-driving cars, as well as on the role of embodiment in virtual reality. He holds a PhD in Philosophy from the London School of Economics (LSE). Prior to joining Syracuse, he was a post-doctoral fellow at Humboldt University in Berlin and at in the McCoy Family Center for Ethics in Society at Stanford University. During his time in Silicon Valley, he consulted on tech ethics for Fortune 500 companies, and taught ethics at Apple.
Jason Jeffrey Jones is a computational social scientist whose expertise includes online experiments, social networks, high-throughput text analysis and machine learning. He is interested in humans’ perceptions of themselves and the developing role of artificial intelligence in society. Dr. Jones is the director of CSSERG (pronounced “sea surge”): the Computational Social Science of Emerging Realities Group. CSSERG is a team of scholars committed to cross-disciplinary collaboration, united by common computational methodologies and always with eyes on the near future. CSSERG has studied the effectiveness of virtual reality in evoking empathy, the dynamics of gender stereotypes in language over decades and temporal trends in personally expressed identity. Dr. Jones’ research is published in numerous peer-reviewed journals and has been cited thousands of times. His work has been discussed in the New York Times, The Atlantic, Sports Illustrated and the Washington Post. For recent information, check https://jasonjones.ninja.
Daniel Karell is an Assistant Professor of Sociology at Yale University, where he is also affiliated with the Institution of Social and Policy Studies and co-organizes the Computational Social Science Workshop. His current research uses computational, quantitative, and experimental methods to examine the intersection of social movements, culture, and technology. His research has been published in several academic journals, including the American Sociological Review, Sociological Methods and Research, and Sociological Methodology, and has won awards from the American Sociological Association’s section on Collective Behavior and Social Movements and the Journal of Peace Research. Dr. Karell teaches courses on integrating AI into social science research methods, computational approaches to studying culture, and the sociology of backlash.
Seulki Lee-Geiller studies how emerging technologies reshape democratic governance and how democratic principles can guide AI’s integration into the public sector. Combining computational, experimental, statistical, and qualitative methods, her research has been published in leading journals such as Policy & Internet, Technological Forecasting and Social Change, Government Information Quarterly, and International Journal of Information Management, and honored with the Walter Bagehot Prize in 2024.
Peter John Loewen is the Harold Tanner Dean of the College of Arts and Sciences and Professor of Government at Cornell University. Peter’s research and teaching interests include the future of democratic societies and the politics of technological change. He is interested in how politicians can make better decisions, in how citizens can make better choices, and how governments can address the disruption of technology and harness its opportunities. He has also studied the political and social contexts and consequences of COVID-19.
Daniel Schiff is an Assistant Professor of Technology Policy at Purdue University’s Department of Political Science and the Co-Director of GRAIL, the Governance and Responsible AI Lab. As a policy scientist with a background in philosophy, he studies the formal and informal governance of AI through policy and industry, as well as AI’s social and ethical implications in domains like education, labor, misinformation, and criminal justice. Daniel was the founding Responsible AI Lead at JP Morgan Chase & Co., Secretary of the IEEE 7010 standard, the first AI ethics standard, and Director of Research, Evaluation, and Planning at the Philadelphia Education Fund. He studied Philosophy at Princeton University, focusing on robotics and intelligent systems, before completing a Master’s in Social Policy at the University of Pennsylvania and PhD in Public Policy from the Georgia Institute of Technology. You can see his work in venues such as Policy Studies Journal, American Political Science Review, Science and Public Policy, PNAS Nexus, Technology in Society, AI & Society, Public Administration Review, the International Journal of AI in Education, and IEEE Transactions on Technology & Society.