Talal Rahwan

Talal Rahwan is an Associate Professor of Computer Science at New York University Abu Dhabi and a Global Network Associate Professor at the Courant Institute of Mathematical Sciences, New York University. He leads the Data Science and AI Lab and is actively involved in cutting-edge research at the intersection of artificial intelligence, computational social science, and data science.

Education:

• BEng, University of Aleppo
• PhD, University of Southampton (2007)

His research focuses on artificial intelligence, multi-agent systems, game theory, and computational social science, with a strong emphasis on ethical and societal implications of AI. His work investigates fairness in academic publishing, algorithmic bias, human-AI cooperation, disinformation, and social network privacy. He has published extensively in top journals such as Nature Communications, Nature Human Behaviour, Nature Machine Intelligence, and PNAS.

The 15 most recent publications reveal a consistent trend toward understanding the societal impact of AI, particularly in education (e.g., ChatGPT in homework), equity (racial and gender disparities in publishing), and security (disinformation attacks on infrastructure). His work combines computational modeling with large-scale data analysis to address real-world challenges.

Scientific Awards:

• IEEE Computer Society's AI’s 10 to Watch
• British Computer Society's Distinguished Dissertation Award
• Dean’s Award for Early Career Researcher, University of Southampton
• Best Parallel Talk Award, IC2S2
• Best Poster Award, IC2S2

Talal Rahwan has advised numerous PhD and postdoctoral researchers, many of whom have gone on to academic positions. He has secured significant research recognition and media coverage, and leads an active lab focused on data science and AI for societal good. His lab has produced influential work on hiding identities in networks, bias in recommendation systems, and the ethical dimensions of human-machine interaction.