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Activity Groups

SIAM Activity Group on Data Science

The purpose of this activity group is to advance the mathematics of data science, to highlight the importance and benefits of data science, and to identify and explore the connections between data science and other applied sciences.

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Upcoming Related Conferences

HAPPENING VIRTUALLY: SIAM International Conference on Data Mining (SDM21)

April 29 - May 1, 2021
Originally scheduled in Alexandria, Virginia, U.S
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SIAM International Conference on Data Mining (SDM22)

April 28 - 30, 2022
Alexandria, Virginia, U.S.
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Related Activities

Group Activities

About the Activity Group


Related topics and applications:

mathematical foundations of data science, foundational algorithms for data science, statistical inference, applied probability, machine learning, optimization and control, data mining, theoretical computer science, deep learning, signal processing, information theory, imaging science, scalable algorithms and implementations for big data, numerical analysis, dynamical systems, high-dimensional approximation, linear algebra, network science, applications of data science in the natural sciences, engineering, business, internet technology, finance, security, health, and social sciences

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SIAM Activity Groups provide a more focused forum for SIAM members interested in exploring one of the areas of applied mathematics, computational science, or applications. Get connected.
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Leadership
Leadership
Chair
Vice Chair
Program Director
Secretary

By the Numbers

Activity Group Archives


Activity Group Archives

2016-2017

Chair: Jeremy Kepner
Vice Chair: Jaideep Vaidya
Program Director: Wagner Meira
Secretary: Danai Koutra

2014-2015

Chair: Zoran Obradovic
Vice Chair: Jeremy Kepner
Program Director: Takashi Washio
Secretary: Kirk Borne

2011-2013

Chair: Chandrika Kamath
Vice Chair: Charu Aggarwal
Program Director: Takashi Washio
Secretary: Michael Mahoney