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2019 New York Scientific Data Summit (NYSDS): Data-Driven Discovery in Science and Industry

2019 New York Scientific Data Summit (NYSDS)

Data-Driven Discovery in Science and Industry


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

Keynote Speakers

  • David Keyes (KAUST) - The convergence of big data and large-scale simulation: leveraging the simulation-data-edge continuum for science
  • Mark Moraes (DE Shaw Research, NY, NY) - Drinking from a firehose: solving data analysis challenges posed by the Anton supercomputer
  • Gavin Schmidt (NASA Goddard Institute for Space Studies, NY, NY) - Challenges in climate science in an era of big data
  • Rick Stevens (Argonne National Laboratory/University of Chicago) - AI for science
  • Karen Willcox (UT Austin) - Projection-based model reduction: formulations for physics-based machine learning

Abstract Submission for Research Talks/Papers & Posters

If you are interested in submitting an abstract, please submit your research talk/paper abstract or a poster session abstract by May 7, 2019.

Begin Submission



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Society of Women Engineers NYSDS Sponsors


Program Committee

  • Francis J. Alexander (BNL/CSI) Co-Chair
  • Steven Nowick (Columbia) Co-Chair
  • Ryan Abernathey (Columbia)
  • Dan Bienstock (Columbia)
  • Marco Giometto (Columbia)
  • Zoltan Haiman (Columbia)
  • Xiaofu He (Columbia)
  • Shantenu Jha (BNL/Rutgers)
  • Georgia Karagiorgi (Columbia)
  • Kyle Mandli (Columbia)
  • Michael McGuigan (BNL)
  • Nick Tatonetti (Columbia)
  • Wei Xu (BNL/CSI)

Local Organizing Committee

  • Francis J. Alexander (BNL/CSI)
  • Shantenu Jha (Rutgers/BNL)
  • Gina Liles (BNL/CSI)
  • Steven Nowick (Columbia/DSI)
  • Lauri Peragine (BNL/CSI)
  • Eileen Pinkston (BNL/CSI)
  • Jessica Rodriguez (Columbia/DSI)
  • Sharon Sputz (Columbia/DSI)
  • Jonathan Stark (Columbia/DSI)

Important Dates

May 7, 2019 Deadline to submit an abstract for a research talk/paper (1-2 pages) or poster (1 page).
May 14, 2019 Notification of acceptance for a research talk/paper or poster presetation.
Jun 11, 2019 Registration closes.
Aug 30, 2019 Deadline to submit a final research paper (10 pages) or poster paper (2-4 pages) for publication in an IEEE online proceedings. Submission of final papers is optional.

Conference Information

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Last Modified: October 29, 2021