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The Basics. Vision: New synthesis of statistical sciences and applied mathematical sciences with disciplinary science to confront data- and model-driven scientific challenges Structure: Partnership of Duke, NCSU, UNC, and NISS
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The Basics • Vision: New synthesis of statistical sciences and applied mathematical sciences with disciplinary science to confront data- and model-driven scientific challenges • Structure: Partnership of Duke, NCSU, UNC, and NISS • Funding: Mathematical Sciences Research Institutes program of the NSF/DMS, William R. Kenan, Jr. Institute for Engineering, Technology and Science • Management: James Berger (Duke), H. T. Banks (NCSU), J. S. Marron (UNC), Alan F. Karr (NISS)
SAMSI Programs • 2-3 research programs per year • At interfaces: Involve both statistics and applied math, as well as • Probability • Computational sciences • Operations research • Framed and guided by disciplinary needs • “Catalytic rather than conclusional”
SAMSI Programs • 2002-03 • Stochastic Computation • Inverse Problem Methodology in Complex Stochastic Models • Large-Scale Computer Models for Environmental Systems • 2003-04 • Data Mining and Machine Learning • Network Modeling for the Internet • Multiscale Model Development and Control Design • 2004-05 • Computational Biology of Infectious Disease • Data Assimilation • Social Sciences
Opportunities for Participation • Undergraduates: SAMSI/CRSC Undergraduate Workshops (1 day, 2 day, 1 week) • Graduate students • Research programs • IMSMW: Industrial Mathematical and Statistical Modeling Workshops (10 days) • Postdocs: 2+ year appointments, in collaboration with NISS, universities, … • Established researchers, including young researchers • Workshops • Research visits (short- and long-term) • SAMSI-University Fellowships • Program proposals and leadership