Frontiers in Computing and Data Science 2017

Frontiers in Computing and Data Science 2017

September 17th, 5:30PM to September 20th, 12:00PM

The Frontiers in Data Science and Computing workshop brings together visionaries, scientists, practitioners and other stakeholders in computational science (broadly defined to include algorithmic aspects of data science and scientific computing).

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Event Categories:  Workshops

Registration for the Frontiers Workshop is currently open and will officially close August 31, 2017.

This event is sponsored and hosted by the Department of Computational Mathematics, Science and Engineering. Speakers include Dr. Robert Axtell, Dr. Keiron Burke, Dr. Bo Li, Dr. Karthik Duraisamy, Dr. Fan Jianqing.

Our model for the Frontiers workshop series is a successful format commonly seen in Silicon Valley, which combines motivation “big picture” talks with activities designed to foster ideas, create community, and allow significant interactions between application/domain scientists and algorithm designers.  Based on the successful outcomes of our pilot Frontiers workshops in 2015 and 2016, we anticipate that this annual workshop series will result in fruitful scientific exchanges and new interdisciplinary collaborations from academia (across disciplines), industry and governmental agencies.  For 2017, the Frontiers workshop will focus on data-infused computing, which is a new area merging data science with scientific computing.  “Frontiers in Data Science and Computing 2017” will be one of the first venues to explore this topic and its high-impact potential in areas as diverse as medicine, astronomy, physics, computer architecture, smart grids, and climate change.

Tentative Agenda

  • Day 1
    • Dr. Mark Reimers, Michigan State University, Associate Professor, Cognitive Science Program
    • Dr. Bo Li, "Developments and Challenges in Past Climate Reconstruction," University of Illinois at Urbana-Champaign, Associate Professor, Department of Statistics
    • Dr. Lone Simonsen, "Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems," Milken Institute School of Public Health  The George Washington University
  • Day 2
    • Dr. Keiron Burke, "Using Machine Learning to find Density Functionals," University of California Irvine, Professor, Heretical Physical and Computational Chemistry
    • Dr. Karthik Duraisamy, University of Michigan, Assistant Professor, Areospace Engineering
    • Dr. Jianqing Fan, Princeton, Professor of Statistics, Operations Research and Financial Engineering
  • Day 3
    • Dr. Robert Axtell, "U.S. Business Firms: All the Data, a Lot of Lousy Theories, and a Family of Very Large Scale Models," George Mason University, Co-director, Computational Social Science and Public Policy

*Current Schedule is Subject to change & Remaining Speakers are TBD*

MSU Union East Lansing, MI 48823
United States
Michigan US