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The Difficulties of Addressing Interdisciplinary Challenges at the Foundations of Data Science

Published: 24 September 2019 Publication History

Abstract

The Transdisciplinary Research in Principles of Data Science (TRIPODS) program is an e ort funded by the National Science Foundation (NSF) to establish the foundations of data science. It aims to unite the statistics, mathematics, and theoretical computer science research communities (three areas central to the foundations of data, hence the \TRI" in the name) to build the theoretical foundations that will enable continued data-driven discovery and breakthroughs in the natural and social sciences, engineering, and beyond.

References

[1]
G. H. Golub, M. W. Mahoney, P. Drineas, and L.-H. Lim. Bridging the gap between numer- ical linear algebra, theoretical computer science, and data applications. SIAM News, 39(8), October 2006.
[2]
M. W. Mahoney, L.-H. Lim, and G. E. Carlsson. Algorithmic and statistical challenges in mod- ern large-scale data analysis are the focus of MMDS 2008. SIGKDD Explorations, 10(2):57{60, December 2008.
[3]
M. W. Mahoney, J. C. Duchi, and A. C. Gilbert, editors. The Mathematics of Data. IAS/Park City Mathematics Series. AMS, IAS/PCMI, and SIAM, 2018.
[4]
S. R. Eddy. \Antedisciplinary" science. PLoS Computational Biology, 1(1):1{2, 2005. ACM SIGACT

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Published In

cover image ACM SIGACT News
ACM SIGACT News  Volume 50, Issue 3
September 2019
92 pages
ISSN:0163-5700
DOI:10.1145/3364626
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2019
Published in SIGACT Volume 50, Issue 3

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