New York Scientific Data Summit focuses on AI advances led by Stony Brook University

Robert J. Harrison, Director of the Institute for Advanced Computational Science (IACS)
Robert J. Harrison, Director of the Institute for Advanced Computational Science (IACS) - Stony Brook University
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The New York Scientific Data Summit (NYSDS) 2025 was held 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 the impact of artificial intelligence, machine learning, and robotics on scientific discovery.

The conference included four main tracks: Generative and Agentic AI, Robotics and Embodied Intelligence, AI Applications, and AI Hardware and Infrastructure. Over two days, participants attended keynote speeches, technical presentations, poster sessions, and panel discussions that addressed both the progress and the challenges in developing reliable and trustworthy AI for science.

Robert Harrison, director of IACS and interim executive director of the New York State Empire AI Initiative, commented on the event’s growth and mission. “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 about Empire AI, describing New York State’s plans to enhance 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,” where he connected his work in information theory with emerging opportunities for collaboration between human creativity and machine intelligence.

More details about the summit can be found in an article by Ankita Nagpal on the AI Innovation Institute website.



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