The New York Scientific Data Summit (NYSDS) is a premier annual conference that brings together researchers and thought leaders from academia, national labs, and industry to exchange ideas and foster collaboration focused on data-driven science and technology. This year's summit is co-hosted by Brookhaven National Laboratory, the Institute for Advanced Computational Science (IACS), and the AI Innovation Institute at Stony Brook University. NYSDS 2026 will take place on September 28–29, 2026, in the SUNY Global Center in New York City.

The theme of NYSDS 2026 is "Transformational AI from Science to Society." This year's conference will focus on the ways in which artificial intelligence (AI), machine learning (ML) and robotics are impacting everything from our everyday lives to scientific endeavors.

From accelerating computationally demanding simulations to discerning potential treatment protocols from healthcare data, AI/ML has become an integral part of both our everyday lives and the nature of how we carry out science. Nonetheless, challenges remain to ensure that AI/ML applications are reliable, explainable, and trustworthy.

Robotics, a growing field that couples AI with physically actuated mechanical bodies, has seen increased interest in areas spanning science, technology and manufacturing. The need for real-time decision-making and control, along with the intricate morphology of robots, makes robotics an intriguing application of AI, advanced computing, and optimization.

NYSDS 2026 will feature the following main tracks:

• Robotics and Embodied AI: This track focuses on the latest research in robotics and embodied intelligence, highlighting advances in perception, control, learning and interaction for autonomous physical agents in real-world and scientific environments.
• AI for Science: This track highlights innovative applications ranging from the physical sciences to biology and medicine, and discussion of important ways in which AI is changing the nature of science.
• AI for Energy: AI/ML is already playing a fundamental role in how energy is discovered and produced, how hazards are mitigated to ensure reliability of the power grid, and our search for new sources of critical minerals and materials. This session will include talks on AI/ML for these application domains.
• AI for Risk Assessment: Climate and environmental forecasts, limiting national security threats, and preventing financial market risks will all rely on inventive uses of large amounts of data and the AI tools that can best mine that data.
• AI for Education: AI is impacting every part of our educational system, from how assessment is carried out to the tools used to train and teach our students. In this session we will highlight the ways in which education is being reimagined in the age of AI and the roadblocks to training the next generation of students.