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The Data and Compute-Driven
Transformation of Modern Science

                                   Edward Seidel, PhD
                                   Assistant Director
                                   Mathematical and Physical Sciences
                                   National Science Foundation

                                    We all know that modern science is under-
                                    going a profound transformation as it aims
                                    to tackle the complex problems of the 21st
                                    Century. It is becoming highly collaborative;
                                    problems as diverse as climate change, renew-
                                    able energy, or the origin of gamma-ray bursts
                                    require understanding processes that no
                                    single group or community alone has the skills
                                    to address. At the same time, after centuries
                                    of little change, compute, data, and network
                                    environments have grown by 9-12 orders of
                                    magnitude in the last few decades. Moreover,
                                    science is not only compute-intensive but is
                                    dominated now by data-intensive methods.
                                    This dramatic change in the culture and meth-
                                    odology of science will require a much more
July 15, 2011                       integrated and comprehensive approach to
10:00 AM                            development and deployment of hardware,
Jordan Hall of Science, Room 105    software, and algorithmic tools and environ-
                                    ments supporting research, education, and
                                    increasingly collaboration across disciplines.




                             science.nd.edu

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Ed seidelposter

  • 1. The Data and Compute-Driven Transformation of Modern Science Edward Seidel, PhD Assistant Director Mathematical and Physical Sciences National Science Foundation We all know that modern science is under- going a profound transformation as it aims to tackle the complex problems of the 21st Century. It is becoming highly collaborative; problems as diverse as climate change, renew- able energy, or the origin of gamma-ray bursts require understanding processes that no single group or community alone has the skills to address. At the same time, after centuries of little change, compute, data, and network environments have grown by 9-12 orders of magnitude in the last few decades. Moreover, science is not only compute-intensive but is dominated now by data-intensive methods. This dramatic change in the culture and meth- odology of science will require a much more July 15, 2011 integrated and comprehensive approach to 10:00 AM development and deployment of hardware, Jordan Hall of Science, Room 105 software, and algorithmic tools and environ- ments supporting research, education, and increasingly collaboration across disciplines. science.nd.edu