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Location: NISS building Research Triangle Park North Carolina Information: www.samsi.info • Vision: To focus on the synthesis of statistical sciences and applied mathematical sciences with disciplinary science to confront difficult data- and model-driven scientific challenges. • Past SAMSI Programs – 2002-03 • Inverse Problem Methodology in Complex Stochastic Models • Large Scale Computer Models for Environmental Systems • Challenges in Stochastic Computation – 2003-04 • Network Modeling for the Internet • Multiscale Model Development and Control Design • Data Mining and Machine Learning – 2004-05 • Latent Variable Models in the Social Sciences • Data Assimilation in Geophysical Systems • Computational Modeling of Infectious Disease Current and Future Programs • 2005-06 – – – – National Security and Homeland Defense (Full Year) Financial Mathematics, Statistics and Econometrics (Fall) Astrostatistics (Spring) Multiplicity and Replicability in Scientific Studies (July, 06) • 2006-07 – High Dimensional Inference and Random Matrices (Fall) – Development, Assessment and Utilization of Complex Computer Models (with subprograms for engineering models, environmental/ecological models, granular/fluid flow models, and methodology) (Full Year) Programs on the Horizon • 2007-08 – Risk Analysis – Waves in Random Media – Sensor Networks in Ecology • 2008-09 – Dynamic Monte Carlo for Statistical and Scientific Computing – Mathematical and Statistical Models for Neuronal Activity – Agent-based Modeling in the Social Sciences – Algebraic Techniques in Statistics and Systems Biology Opportunities for Participation • • • • • • Proposing and leading a research program Visiting researchers (short and long term) Workshop participation Providing testbed problems and data Postdoctoral opportunities (2+ years) Graduate students – participate in major research programs – summer interdisciplinary workshops • Undergraduate workshops We hope to see you at SAMSI! Information: www.samsi.info Astrostatistics Program Joint between SAMSI and CASt • Program leaders: G. J. Babu (Penn State) - Chair, Eric Feigelson (Penn State), Tom Loredo (Cornell University), Donald Richards (Penn State), Alanna Connors (Eureka Scientific), and Larry Wasserman (Carnegie-Mellon University). Jim Berger (SAMSI) is Directorate Liaison, and Peter Bickel (Berkeley) is National Advisory Committee Liaison. • Long term visitors: Jogesh Babu, Phil Gregory, John Hartigan,Bill Jefferys, Jiashun Jin, Jaeyong Lee, Ji Meng Loh, Tom Loredo, Louis Lyons, David van Dyk, Michael Woodroofe • Graduate students: Floyd Bullard, Pablo de la Cruz, Hyunsook Lee, Nicholas Robbins, Lingsong Zhang • ‘Official’ local faculty and scientists: Merlise Clyde, Woncheol Jang, Arlie Petters, Zhengyuan Zhu • Workshops – – – – – – Tutorial on Bayesian Astrostatistics (January 18-20, 2006) at SAMSI Tutorial on Nonparametric Inference (January 21-22, 2006) at SAMSI Tutorial on Astronomy for Statisticians (January 21-22, 2006) at SAMSI Opening workshop (January 23-25, 2006) at SAMSI Several topical mini-workshops or intensive research weeks: TBD Summer School in Statistics for Astronomers and Physicists (June 6-10, 2006) at Penn State. – Pre-conference software tutorial (Sunday, June 11, 2006) at Penn State – Statistical Challenges in Modern Astronomy IV (June 12-15, 2006) at Penn State – Statistical Inference Problems in High Energy Physics and Astronomy (July 15-20, 2006) at BIRS Conference Center, Banff • Astrostatistics Seminar • Ongoing research organized by working groups, operating throughout the program. To date, the following working groups are planned. – Exoplanets (Bill Jefferys) – Statistical Issues in Particle Physics (Louis Lyons) – Surveys and Population Studies (Tom Loredo) – Gravitational Lensing (Arlie Petters) – Source Detection and Feature Detection (David van Dyk) G. J. Babu – Director, E. Feigelson – Associate Director Partners: Grist, iAstro, CDS, CGWP, PSGC, SAMSI Serves as a crossroads where researchers at the interfaces between statistics, data analysis, astronomy, space and observational physics collaborate, develop and share methodologies, and together prepare the next generation of researchers. http://astrostatistics.psu.edu • Foster collaborations • Improve the statistical methods in astronomy research • Tutorials/Summer schools to train the next generation in both the communities • Web resources – StatCodes – Annotated Bibliography – Software tutorials Statistical Challenges in Modern Astronomy IV June 12-15, 2006 Penn State University Now open for registration & contributed papers http://astrostatistics.psu.edu/scma4/ Tutorials and Opening Workshop Talks of Atrostatistics Program at SAMSI January 18-25, 2006 Available at http://astrostatistics.psu.edu/samsi06/