Keynotes

We are thrilled to announce the keynote speakers of EWAF'25!

Juliane Jarke
University of Graz

Julia Stoyanovich
New York University

Raphaële Xenidis
Sciences Po

Johannes Himmelreich
Syracuse University

Juliane Jarke

Professor of Digital Societies at the University of Graz

Juliane Jarke

"Reassembling the Black Box(es) of Algorithmic Fairness: Methods, Interactions and Politics"

About

Juliane Jarke is Professor of Digital Societies at the University of Graz. Her research attends to the transformative power of algorithmic systems in the public sector, education and for ageing populations. It intersects critical data & algorithm studies, participatory (design) research and feminist STS. 

Juliane received her PhD from Lancaster University and has a background in Computer Science, Philosophy, and STS. She has recently co-edited a special issue on Care-ful Data Studies (Information, Communication and Society). Her latest co-edited books include Algorithmic Regimes: Methods, Interactions and Politics (Amsterdam University Press) and Dialogues in Data Power: Shifting Response-abilities in a Datafied World (Bristol University Press). 

Juliane is also co-organiser of the Data Power Conference series and Co-PI in the research unit Communicative AI: The Automation of Societal Communication. More on www.sociodigitalfutures.info

Julia Stoyanovich

Associate Professor and Director of R/AI at New York University

Julia Stoyanovich

About

Julia is an Institute Associate Professor of Computer Science and Engineering at the Tandon School of Engineering, Associate Professor of Data Science at the Center for Data Science, and Director of the Center for Responsible AI. Julia’s goal is to make “Responsible AI” synonymous with “AI”.  She works towards this goal by engaging in academic research, education and technology policy, and by speaking about the benefits and harms of AI to practitioners and members of the public.

Julia’s research interests include AI ethics and legal compliance, and data management and AI systems.  In addition to academic publications, she has written for the New York Times, the Wall Street Journal, and Le Monde.  Julia has been teaching courses on responsible data science and AI to students, practitioners and the general public.  She is a co-author of “Data, Responsibly”, an award-winning comic book series for data science enthusiasts, and “We are AI”, a comic book series for the general audience.  

Julia is engaged in technology policy and regulation in the US and internationally, having served on the New York City Automated Decision Systems Task Force, by mayoral appointment, among other roles.

Julia received her M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics & Statistics from the University of Massachusetts at Amherst. She is a recipient of the NSF CAREER Award and a Senior Member of the ACM.

Raphaële Xenidis

Assistant Professor at Sciences Po Law School

Raphaële Xenidis

"Beyond Bias: Algorithmic Machines, Discrimination Law and the Analogy Trap"

About

Raphaële Xenidis is assistant professor in European law at Sciences Po Law School in Paris, France. Her current research focuses on algorithmic bias and discrimination in automated decision-making systems in the context of European equality law. 

Raphaële holds a PhD in law from the European University Institute and is an Honorary Fellow at the University of Edinburgh Law School and a Global Fellow at iCourts, University of Copenhagen.

Johannes Himmelreich

Assistant Professor at Syracuse University

Johannes Himmelreich

"Is intersectionality a problem for algorithmic fairness?"

About

Johannes Himmelreich is a philosopher who teaches and works in a policy school. He is an Assistant 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 ethical quandaries that data scientists face, how the government should use AI, and how to check for 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.