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EScience for All: Not If, But When Jeannette M. Wing Assistant Director, NSF CISE President’s Professor of Computer Science, CMU.

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Presentation on theme: "EScience for All: Not If, But When Jeannette M. Wing Assistant Director, NSF CISE President’s Professor of Computer Science, CMU."— Presentation transcript:

1 eScience for All: Not If, But When Jeannette M. Wing Assistant Director, NSF CISE President’s Professor of Computer Science, CMU

2 What Facilities, instruments, data, software, cyber-infrastructure (CI) How Policy: Open, shared access Technology: Virtual organizations Why: Discovery and Learning No Choice Global (borderless) nature of science, expense of equipment, remote location of instruments, multiple “eyes” for validation of observations, … Collaboration Science diplomacy

3 What Facilities, instruments, data, software (?), cyber-infrastructure (CI) How Open, shared access: read (everything), write (some things) Virtual organizations Why Learning Discovery

4 Technical Interoperability: need to support federation across heterogeneous X X = Data, S/W, CI -- within and across disciplines Veracity of data and scientific claims Non-Technical Ownership Credit Publication

5 Technical Interoperability: need to support federation across heterogeneous X X = Data, S/W, CI -- within and across disciplines Veracity and volume of data and scientific claims Non-Technical Ownership Credit Publication

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9 Examples

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15 Citizens will be participating in science They already are in Learning, and increasingly in Discovery There are no intrinsic technical barriers, but lots of non-technical issues Science trend toward openness means growing opportunities Contrarian viewpoint: Does openness imply BETTER science? Some think not Multiple dimensions Access: Closed/Restricted/Tiered/Open Police/Monitor/Enforce: Master/Central Committee/Distributed … Different models: LIGO, Wikipedia, ArXiv, Open Source, …

16 Computational Thinking for Science and Engineering Paradigm shift Not just our metal tools (transistors and wires) but also our mental tools (abstractions and methods) It’s about partnerships and transformative research To innovate in/innovatively use computational thinking; and To advance more than one science/engineering discipline. Three dimensions From Data to Knowledge Understanding Complexity in Natural, Built, and Social Systems Virtual Organizations

17 Microsoft Research Faculty Summit 2008

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