2017 New York Scientific Data Summit (NYSDS)

Led by the Computational Science Initiative’s at Brookhaven National Laboratory (BNL), 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).

With keynote speakers from industry and international big-science projects, the 2-1/2 day conference is organized into five sessions:

• Streaming Data Analysis
• Autonomous Experiments
• Big Theory for Big Data
• Interactive Exploration of Extreme Scale Data
• Performance for Big Data

Co-hosts 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, the IEEE Computer Society-Long Island Chapter, and the Moore-Sloan Data Science Environment.

We are expecting to publish the conference proceedings with IEEE.