October 16-17, 2007 in Washington, D.C.

The amount and complexity of data generated to support contemporary science continues to grow rapidly. In domains from genomics to climate science, statisticians are actively engaged in interdisciplinary research teams.

The history of statistics shows that, while frequently arising in response to challenges in specific scientific domains such as these, statistical methods and theory often achieve their full range and power from later application to subjects far remote from those of origin.

The study of the "intersections" -- statistical problems, theories and methods that are relevant to multiple domains of scientific enquiry -- thus offers great opportunity in today's Age of Information.

The proposed workshop responds to this opportunity: it aims to enumerate today's most intellectually compelling statistical challenges arising out of these intersections, in the hope of stimulating future research advances that will extend and enhance our data analytic toolkit for scientific discovery.

The workshop is organized by Iain Johnstone (chair), James Berger, Peter Bickel, Jianqing Fan (PI), Steve Fienberg, Tom Kurtz , Michael Waterman, and Bin Yu. It is supported by the National Science Foundation (PI, Jianqing Fan) and Department of Operations Research and Financial Engineering, Princeton University.

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* discussants who are also in the organizing committee.

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