The New York Scientific Data Summit (NYSDS) 2025 was held from September 11 to 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 the impact of artificial intelligence, machine learning, and robotics on scientific research.
The summit included four main tracks: Generative and Agentic AI, Robotics and Embodied Intelligence, AI Applications, and AI Hardware and Infrastructure. Over two days, participants attended keynotes, technical talks, poster sessions, and panel discussions that addressed recent advancements as well as ongoing challenges in developing reliable and explainable AI 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 gave a keynote on Empire AI, sharing insights into the state’s efforts to enhance AI research capacity and collaboration.
Lav Varshney, Della Pietra Infinity Professor and director of the AI Innovation Institute at Stony Brook, led the opening session on Generative and Agentic AI. He also delivered a keynote titled “Information Lattices and the Future of AI for Creativity and Discovery,” where he discussed how his work in information theory connects with new possibilities for collaboration between human and machine creativity.
More information about the summit can be found on the AI Innovation Institute website.
