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Activity Number: 559 - Foundations of Data Science: The TRIPODS Experience
Type: Invited
Date/Time: Thursday, August 6, 2020 : 3:00 PM to 4:50 PM
Sponsor: Section on Statistical Learning and Data Science
Abstract #308113
Title: Transdisciplinary Research Institute for Advancing Data Science (TRIAD @ Georgia Tech)
Author(s): Xiaoming Huo*
Companies: Georgia Institute of Technology
Keywords: Data science; Interdisciplinary research; Machine learning; Artificial intelligence ; Statistics; Theoretical computer science

TRIAD integrates research and education in mathematical, statistical, and algorithmic foundations for data science. Analysis of massive, dynamic, noisy and complex data arising in virtually every sphere of human activity is a pressing challenge of our times, and an area of great importance for its economic and societal impact. TRIAD is to address the growing challenges in establishing the foundations of data science, much of which lies at the intersection of computer science, statistics, and mathematics. TRIAD's intellectual focus is to design and build transdisciplinary research programs that provide an enabling and cross-fertilizing platform of ideas and stakeholders (including theoreticians/scientists from domain sciences and users of technology). TRIAD hosts focused working groups, national and international workshops, and organized innovation labs. Participants include senior, mid-career, and junior faculty members, postdoctoral fellows, graduate, and senior undergraduate students, and data science practitioners at large. All TRIAD activities involve interdisciplinary personnel from the three foundational disciplines. More of TRIAD can be found at

Authors who are presenting talks have a * after their name.

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