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Award Abstract # 1638521
Statistical and Applied Mathematical Sciences Institute

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL
Initial Amendment Date: July 28, 2017
Latest Amendment Date: October 3, 2022
Award Number: 1638521
Award Instrument: Continuing Grant
Program Manager: Henry Warchall
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: September 1, 2017
End Date: August 31, 2022 (Estimated)
Total Intended Award Amount: $9,291,999.00
Total Awarded Amount to Date: $9,291,999.00
Funds Obligated to Date: FY 2017 = $3,097,333.00
FY 2018 = $3,097,333.00

FY 2019 = $3,097,333.00
History of Investigator:
  • Mark Forest (Principal Investigator)
    forest@unc.edu
  • Merlise Clyde (Co-Principal Investigator)
  • Mansoor Haider (Co-Principal Investigator)
  • Elvan Ceyhan (Co-Principal Investigator)
  • David Banks (Former Principal Investigator)
  • Richard Smith (Former Principal Investigator)
  • Mark Forest (Former Co-Principal Investigator)
  • Ilse Ipsen (Former Co-Principal Investigator)
  • Richard Smith (Former Co-Principal Investigator)
  • Thomas Witelski (Former Co-Principal Investigator)
  • Sujit Ghosh (Former Co-Principal Investigator)
Recipient Sponsored Research Office: University of North Carolina at Chapel Hill
104 AIRPORT DR STE 2200
CHAPEL HILL
NC  US  27599-5023
(919)966-3411
Sponsor Congressional District: 04
Primary Place of Performance: Statistical and Applied Mathematical Sciences Institute
19 T.W. Alexander Drive
Research Triangle Park
NC  US  27709-4006
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): D3LHU66KBLD5
Parent UEI: D3LHU66KBLD5
NSF Program(s): MATHEMATICAL SCIENCES RES INST
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
01001718DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s): 733300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

The Statistical and Applied Mathematical Sciences Institute (SAMSI) is a national institute that merges statistical and mathematical thinking to create high impact theory and methodology for fundamental scientific and societal problems. It does so by catalyzing and nurturing collaborations both among its core disciplines -- statistics, probability, and applied mathematics -- and between those disciplines and the physical, social, and engineering sciences, as well as other quantitative disciplines such as computer science and operations research. SAMSI engages researchers at all career stages, from graduate students to postdoctoral fellows to senior international leaders, who take away from SAMSI expanded modes of thought, new vision and energy, and momentum enabling collaborations initiated there to persist. The spectrum of SAMSI's programs over the period 2017-2020 responds to national needs, impetus from the statistics and mathematics community, and scientific opportunities with potential high impact. Programs address massive datasets in contexts such as astrophysics and the environment, data-driven decisions in healthcare, identification of structure in high-dimensional data, as well as other topics to be identified. A broad range of education and outreach activities, focused especially on undergraduates, faculty in teaching institutions, and under-represented minorities, builds greater public awareness of the importance and achievements of the mathematical sciences.

SAMSI is a national institute that exists to advance science and society by catalyzing and supporting collaborations among statisticians, applied mathematicians, and researchers in the natural and social sciences. Its goal is to tackle the most challenging and far-reaching data-driven problems, as exemplified by its forthcoming programs on such topics as massive datasets in astrophysics and the environment, data-driven decisions in healthcare, identifying structure in high-dimensional data, and computational modeling in the social sciences. SAMSI operates by bringing together researchers at all levels -- students, postdoctoral fellows, and senior leaders -- into teams that both make substantial progress within SAMSI programs and form the basis of future collaborations. It stimulates people at all stages of their careers to think differently about the roles and power of applied mathematics and statistics in concert with one another. A vibrant education and outreach program uses SAMSI research to present the importance and achievements of the mathematical sciences to undergraduates, professors at teaching colleges, and the general public. SAMSI activities are permeated by efforts to increase the participation of under-represented minorities in mathematics, statistics, and other sciences.

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.

SAMSI has had a profound impact over almost two decades of its existence as one of the NSF DMS Institutes. With respect to Intellectual Merit, SAMSI has been a catalyst for integration of the statistical sciences with the mathematical sciences. Much of the current theoretical and applied activity at the nexus of statistics, applied mathematics, and an enormous diversity of applications can be attributed to the decades of programs, workshops, conferences, students at all levels, postdoctoral scholars, faculty, and visitors hosted by SAMSI.  Many new research and training directions in statistics and applied mathematics can be attributed to the activities hosted by SAMSI, an enormous contribution to both Intellectual Merit and Broader Impacts. Literally hundreds of scholars were directly impacted by activities hosted by SAMSI.  Perhaps most importantly, the Broader Impacts of SAMSI have been the enormous multiplier effects as undergraduate and graduate students, postdoctoral scholars, visitors from academia and the private and public sector took their experiences and learning from SAMSI back to their home institutions and work places. Advances in how we teach and do research in statistics and applied mathematics have been directly or indirectly impacted by SAMSI. The current international focus on data science is a natural outgrowth of the SAMSI focus on integration of statistics and applied mathematics through programs that developed fundamental advances, yet were always anchored in challenges across diverse application domains.  These successful outcomes have impacted the careers of individuals, educational curricula at many institutions, and have influenced the approaches taken to solve challenges with a combination of statistical and applied mathematical tools.  These contributions to intellectual merit and their broader impacts will forever be the legacy of SAMSI.


Last Modified: 12/30/2022
Modified by: M G Forest

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