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 interest.

As part of its continuing effort to accelerate data-driven discovery and innovation in science and industry, NYSDS 2022 will focus on the mathematical/algorithmic, technological/scientific, and high-performance computing challenges of the generation, transmission, and storage of energy. An emphasis is on the role of quantum information sciences in networking and energy systems.

Technical presentations will cover the mathematical/algorithmic, technological/scientific, and high-performance computing challenges that need to be overcome to make progress. In NYSDS 2022 we will continue the discussions on the domain areas covered in 2021, but the explicit focus will be on applications to energy systems and quantum information science.

Domain Areas

• Quantum communications and quantum networking
• Quantum computing for energy systems design
• Energy transmission
• Wind energy generation
• Energy storage

Cross-Cutting issues such as High-Performance Computing, Machine Learning/AI, Mathematical Foundations will appear throughout the 5 domain areas.