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Knowledge Environments for Science and Engineering: Overview of Past, Present and Future

Knowledge Environments for Science and Engineering: Overview of Past, Present and Future. Michael Pazzani, Information and Intelligent Systems Division, Computer and Information Science and Engineering Directorate, NSF November 25, 2002. Panel Background and Goals.

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Knowledge Environments for Science and Engineering: Overview of Past, Present and Future

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  1. Knowledge Environments for Science and Engineering: Overview of Past, Present and Future Michael Pazzani, Information and Intelligent Systems Division, Computer and Information Science and Engineering Directorate, NSF November 25, 2002

  2. Panel Background and Goals • The concept of distributed environments for collaborative science and engineering using information, communication and computational technologies was introduced more than a decade ago • Reflect on progress made and what the next round of challenges might be • Look at the past, present and future

  3. Knowledge Environments: Past • 1989: W. Wulf (CISE AD) – a collaboratory is “… ‘a center without walls,’ in which the nation’s researchers can perform their research without regard to geographical location” • 1993: NRC Report on National Collaboratories: Recommendations for federal funding of a collaboratory testbed program

  4. Knowledge Environments: From Past to Present • 1990: 11 projects funded under a special initiative in CISE on collaboration technology • From 1990 to 2002, many initiatives in federal agencies: • Upper Atmospheric Research Collaboratory & Space Physics and Aeronmy Research Collaboratory (NSF/CISE and GEO) • Network for Earthquake Engineering Simulation (NSF/ENG) • Great Lakes Regional Center for AIDS Research (NIH/NCI) • Environmental Molecular Sciences Laboratory Collaboratory (DOE)

  5. Knowledge Environments: From Present to Future • Many models and initiatives on how to organize and schedule distributed scientific and engineering computing resources • Collaboratories • Supercomputer centers • Digital libraries • Grid Models • Semantic Web

  6. Knowledge Environments: Future Directions • E-Science Program (UK): “E-Science …enabled by the Internet. … will require access to very large data collections, very large scale computing resources and high performance visualisation back to the individual user scientists.” • Cyberinfrastructure: “”Revolutionizing science and engineering;” changing the “range of the possible;” affecting the “way that scientists … view research problems.”

  7. How we will do this • Three 15-20 minute presentations with questions of clarification only • One hour for discussion William Wulf, National Academy of Engineering Peter Freeman, National Science Foundation Spyros Konidaris, European Union Dan Atkins, University of Michigan

  8. Panelists

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