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Speakers

More speakers will be announced soon, stay tuned on our social media channels to find out (Bluesky, X, LinkedIn, and Instagram).

Joint Keynote Speakers

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Duncan J. Watts
University of Pennsylvania

Duncan Watts is a computational social scientist interested in social and organizational networks, collective dynamics of human systems, web-based experiments, and analysis of large-scale digital data, including the production, consumption, and absorption of news. He is the Stevens University Professor and Penn Integrates Knowledge University Professor at the University of Pennsylvania, where he directs the Computational Social Science Lab. Professor Watts holds appointments in the Annenberg School for Communication, the Department of Computer and Information Science in the School of Engineering and Applied Science, and the Department of Operations, Information and Decisions in the Wharton School. Previously, he was a principal researcher and founding member of the Microsoft Research NYC lab, an A.D. White Professor-at-Large at Cornell, a professor of Sociology at Columbia, and a principal research scientist at Yahoo! Research, where he led the Human Social Dynamics group. Professor Watts is the author of three books: Six Degrees: The Science of a Connected Age (W.W. Norton 2003), Small Worlds: The Dynamics of Networks Between Order and Randomness (Princeton University Press 1999), and Everything Is Obvious: Once You Know The Answer (Crown Business 2011). He holds a B.Sc. in Physics from the Australian Defence Force Academy, from which he also received his officer’s commission in the Royal Australian Navy, and a Ph.D. in Theoretical and Applied Mechanics from Cornell University. He was named an inaugural fellow of the Network Science Society in 2018, a Carnegie Fellow in 2020, a fellow of the American Association for the Advancement of Science in 2021, and the National Academy of Science in 2023.

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Steven Strogatz
Cornell University

Steven Strogatz is an applied mathematician interested in nonlinear dynamics and chaos, small-world networks and synchronization, mathematical biology, and the public understanding of mathematics. He is the Susan and Barton Winokur Distinguished Professor for the Public Understanding of Science and Mathematics at Cornell University. Strogatz graduated summa cum laude in mathematics from Princeton University, was a Marshall Scholar at Trinity College, Cambridge, and did his doctoral work in applied mathematics at Harvard University, followed by a National Science Foundation postdoctoral fellowship at Harvard and Boston University. He previously taught in the Department of Mathematics at MIT before joining the Cornell faculty in 1994. ​ Professor Strogatz is a leading public communicator of mathematics through his New York Times series “The Elements of Math,” “Me, Myself and Math,” and “Math, Revealed.” He is also the author of Nonlinear Dynamics and Chaos (1994), Sync (2003), The Calculus of Friendship (2009), and The Joy of x (2012). His most recent book, Infinite Powers (2019), was a New York Times Best Seller and was shortlisted for the 2019 Royal Society Science Book Prize. In 2024, Strogatz was elected to the National Academy of Sciences. He is also a Fellow of the Society for Industrial and Applied Mathematics (2009), the American Academy of Arts and Sciences (2012), the American Physical Society (2014), the American Mathematical Society (2016), and the Network Science Society (2018).

Keynote Speakers

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Yong-Yeol (YY) Ahn
University of Virginia

Yong-Yeol (YY) Ahn is a network and data scientist whose work combines network science, machine learning, and the study of complex social, biological, and information systems. He is a Quantitative Foundation Distinguished Professor at the University of Virginia’s School of Data Science. Before joining UVA, he was a Professor at Indiana University’s CNetS, Luddy School of Informatics, Computing, and Engineering, and a Visiting Professor at MIT. Earlier, he worked as a postdoctoral research associate at the Center for Complex Network Research at Northeastern University and as a visiting researcher at the Center for Cancer Systems Biology at Dana-Farber Cancer Institute after completing his PhD in Statistical Physics from KAIST. His research focuses on the architectures of complex systems—how networks shape behavior, cognition, and scientific progress—and on developing methods in network analysis, machine learning, and natural language processing to investigate these mechanisms at scale. He is the co-author of “Working with Network Data.” His work has been recognized with several honors, including the Microsoft Research Faculty Fellowship.

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