2. 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)

3. 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

4. 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

5. 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