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