A Panel Discussion on Data Intensive Science: Moving towards Solutions

Over the past several years, a number of groups, including the National Academy of Engineering, have identified grand challenge problems facing scientists from around the world [1]. While addressing these problems will have global impact, solutions are years away at best – and the next set of challenges are likely to be even harder to solve. Because of the complexity of questions being asked, meeting these challenges requires large, multi-disciplinary teams working closely together for extended periods of time. Enabling this new type of science, involving distributed teams that need to collaborate despite vastly different backgrounds and interests, is the cornerstone of Data Intensive Science.

Authors and Affiliations

1. Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA, 99352, USA

   Terence Critchlow

Editors and Affiliations

1. The Evergreen State College, 98505, Olympia, WA, USA

   Judith Bayard Cushing

2. CNRI and University of Virginia, 22908, Charlottesville, VA, USA

   James French

3. Gonzaga University, 99258, Spokane, WA, USA

   Shawn Bowers

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© 2011 Springer-Verlag Berlin Heidelberg

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