Motivation

The New York Scientific Data Summit (NYSDS), established by Brookhaven National Laboratory (BNL) and led by its Computational Science Initiative, connects researchers, developers, and end-users from academia, industry, and government to exchange ideas, foster cross-disciplinary collaboration, and build a community around common data research interests.

As part of its continuing effort to accelerate data-driven discovery and innovation in science and industry, NYSDS 2021 will focus on the mathematical/algorithmic, machine learning/AI, and high-performance computational challenges of high-consequence decision-making in large-scale, complex, and highly uncertain systems.

Technical presentations will cover the mathematical/algorithmic, machine learning/AI, and high-performance computing challenges that need to be overcome to make progress. In NYSDS 2021 we will continue the discussions on the domain areas covered in 2020, but the explicit focus will be on decision making under uncertainty.

Domain Areas Include:

• Climate and Environmental Science
• Critical Infrastructures/Agriculture/Manufacturing (Power Grid, Transportation, Health Care, Supply Chain, etc.)
• Health and Medicine (Cancer, COVID-19, etc.) 
• National Security
• Autonomous Systems
• Cross-Cutting Issues
  • High-Performance Computing
  • Machine Learning/AI
  • Mathematical Foundations

The entire conference will be virtual. More information will be forthcoming. Please check back later for more details.

vFairs Attendee User Guide

If you are participating in a virtual event that is hosted on the vFairs platform, then this user guide can come in handy for you to get familiar with the virtual environment of the event beforehand.