Motivation

The 2019 New York Scientific Data Summit (NYSDS) is the fifth in a symposia series established by Brookhaven National Laboratory (BNL), and led by its Computational Science Initiative, which aims to accelerate data-driven discovery and innovation in science and industry. It brings together researchers, developers and end-users from academia, industry, utilities, and state and federal governments. The summit is a forum to connect diverse participants, from the greater New York region, as well as nationally and internationally, and to foster discussion and collaboration.

This year, the summit will be hosted and co-organized by Columbia University's Computing Systems for Data-Driven Science center, which is part of its Data Science Institute (DSI). This center is a nexus at Columbia for research in large-scale computer systems design, data analytics, and applications to cutting-edge problems in science, engineering and medicine.

With keynote speakers from industry and international big-science projects, as well as a range of regular talks (both invited and submitted), the 2-1/2 day symposium is organized into seven topic areas:

• Streaming Data Analysis
• Scalable Algorithms and Computer Systems for Scientific Applications
• Large-Scale Image Analysis and Mapping
• Uncertainty Quantification in Science
• Focus Topic #1: Biomedical Informatics
• Focus Topic #2: Earth and Climate Science
• Focus Topic #3: Computational Astrophysics and Cosmology

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