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

Author:

Mahoney Michael W.1

Affiliation:

1. University of California, Berkeley, Berkeley, CA, USA

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.

Publisher

Association for Computing Machinery (ACM)

Reference4 articles.

1. Bridging the gap between numer- ical linear algebra, theoretical computer science, and data applications;Golub G. H.;SIAM News,2006

2. Algorithmic and statistical challenges in modern largescale data analysis are the focus of MMDS 2008

3. science;Eddy S. R.;PLoS Computational Biology,2005

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