| NSF Org: |
CCF Division of Computing and Communication Foundations |
| Recipient: |
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| Initial Amendment Date: | August 23, 2017 |
| Latest Amendment Date: | August 9, 2023 |
| Award Number: | 1740776 |
| Award Instrument: | Continuing Grant |
| Program Manager: |
Yulia Gel
ygel@nsf.gov (703)292-0000 CCF Division of Computing and Communication Foundations CSE Direct For Computer & Info Scie & Enginr |
| Start Date: | September 1, 2017 |
| End Date: | August 31, 2024 (Estimated) |
| Total Intended Award Amount: | $1,500,000.00 |
| Total Awarded Amount to Date: | $1,604,238.00 |
| Funds Obligated to Date: |
FY 2018 = $517,342.00 FY 2019 = $500,000.00 FY 2020 = $86,896.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
926 DALNEY ST NW ATLANTA GA US 30318-6395 (404)894-4819 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
225 North Avenue, NW Atlanta GA US 30332-0002 |
| Primary Place of Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): |
TRIPODS Transdisciplinary Rese, HDR-Harnessing the Data Revolu |
| Primary Program Source: |
01001819DB NSF RESEARCH & RELATED ACTIVIT 01001920DB NSF RESEARCH & RELATED ACTIVIT 01002021DB NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
This project creates the Transdisciplinary Research Institute for Advancing Data Science (TRIAD) at the Georgia Institute of Technology. TRIAD aims to integrate 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 time, and an area of great importance for its economic and societal impact. TRIAD will 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. TRIAD deploys information technology and communication infrastructure to quickly and efficiently disseminate its research and activities, while the research community at large can easily access and comment/critique TRIAD's choice of research programs and topics. The institute aims to create an intellectual atmosphere that connects theoreticians and practitioners, scientists, and engineers from across the nation and worldwide on a regular basis.
TRIAD enriches careers of participants ranging from undergraduate students to senior researchers from around the nation. Postdoctoral fellows and graduate students are introduced to collaborative research in the institute activities and through workshops. TRIAD makes prudent efforts to reach out to diverse communities, including participants from smaller colleges and institutions serving under-represented minorities. TRIAD actively engages in outreach through public lectures, press releases, and dissemination via other internet channels. TRIAD works with associated professional societies to provide stimulus to data-science-related initiatives. Additional activities (such as customized workshops) will combine interactive projects and field trips to acquaint undergraduate and/or high school students from all over the U.S. with data-science-related techniques and the themes of TRIAD's year-long programs. Every effort will be made to make products and lectures available online and to enable remote participation. Funds for the project come from CISE Computing and Communications Foundations and MPS Division of Mathematical Sciences.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
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 for 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, as well as data science practitioners at large. All TRIAD activities involve interdisciplinary personnel from the three foundational disciplines. TRIAD deploys information technology and communication infrastructure to quickly and efficiently disseminate its research and activities, while the research community at large can easily access and comment/critique TRIAD's choice of research programs and topics. The institute aims to create an intellectual atmosphere that connects theoreticians and practitioners, scientists and engineers from across the nation and worldwide on a regular basis.
Part of the "TRIPODS" program at NSF, the Transdisciplinary Research Institute for Advancing Data Science (TRIAD) integrates research and education in mathematical, statistical, and algorithmic foundations for data science. It is funded by the NSF and located at Georgia Tech, with participating faculty members from the academic units including the School of Mathematics, the College of Computing, the School of Industrial and Systems Engineering, the School of Electrical and Computer Engineering, and many more.
Last Modified: 09/20/2024
Modified by: Xiaoming Huo
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