The New York Scientific Data Summit (NYSDS) 2025 took place on September 11–12 at the SUNY Global Center in New York City. The event was co-hosted by Brookhaven National Laboratory and the Institute for Advanced Computational Science (IACS) at Stony Brook University. The summit gathered researchers from academia, national laboratories, and industry to discuss developments in artificial intelligence, machine learning, and robotics.
The summit featured four main tracks: Generative and Agentic AI, Robotics and Embodied Intelligence, AI Applications, and AI Hardware and Infrastructure. The two-day program included keynote speeches, technical presentations, poster sessions, and panel discussions focused on advances in the field as well as challenges related to building reliable and trustworthy AI systems for scientific use.
Robert Harrison, director of IACS and interim executive director of the New York State Empire AI Initiative, said, “This year’s conference was very exciting. It highlighted the crucial roles of advanced computing technologies such as AI and HPC at the frontiers of scientific discovery. It is wonderful to see how NYSDS has grown since I established it over 10 years ago and its success in its core mission of accelerating data-driven discovery and innovation by bringing together a diverse community of stakeholders.” Harrison also delivered a keynote address on Empire AI, discussing the state's approach to expanding AI research capacity and collaboration.
Lav Varshney, Della Pietra Infinity Professor and director of the AI Innovation Institute at Stony Brook University, led the opening session on Generative and Agentic AI. He later gave a keynote titled “Information Lattices and the Future of AI for Creativity and Discovery,” connecting his research in information theory with emerging opportunities at the intersection of human and machine creativity.
More details are available on the AI Innovation Institute website.