New York Scientific Data Summit (NYSDS)

Accelerating data-driven discovery and innovation

Motivation

The New York Scientific Data Summit (NYSDS) aims to accelerate data-driven discovery and innovation by bringing together researchers, developers and end-users from academia, industry, utilities and state and federal governments. Jointly organized by Brookhaven National Laboratory (BNL), Stony Brook University (SBU), and New York University (NYU) the theme of this year's conference is "Frontiers in Scientific Data."

With keynote speakers from industry and international big-science projects, the 2-1/2 day conference is organized into five sessions with topics including scientific image analysis, data fusion, environmental and urban science, and inverse problems.

Sponsors include BNL, the Institute for Advanced Computational Science at SBU, the NYSTAR High-Performance Computing Consortium (HPC²), the New York University Center for Data Science, and the Moore-Sloan Data Science Environment.

For more conference details, click here.