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Article

Eco-informatics and decision making managing our natural resources

Published: 21 May 2006 Publication History

Abstract

This panel responds to the December 2004 workshop on Eco-Informatics and Decision Making [1], which addressed how informatics tools can help with better management of natural resources and policy making. The workshop was jointly sponsored by the NSF, NBII, NASA, and EPA. Workshop participants recommended that informatics research in four IT areas be funded: modeling and simulation, data quality, information integration and ontologies, and social and human aspects. Additionally, they recommend that funding agencies provide infrastructure and some changes in funding habits to assure cycles of innovation in the domain were addressed. This panel brings issues raised in that workshop to the attention of digital government researchers.

References

[1]
The Eco-Informatics and Decision Making (BDEI3) workshop website includes all presentations, presenters and participants information, and the workshop final report. http://www.evergreen.edu/bdei.
[2]
PCAST. Panel on Biodiversity and Ecosystems. "Teaming with Life: Investing in Science to Understand and Use America's Living Capital." March 1998. http://www.nbii.gov/about/pubs/twl.pdf.
[3]
János Fülöp, David Roth, Charles Schweik. "Decision Making in the Context of Eco-informatics. Appendix 1 of the BDEI3 Final Report, pp. 21--26.

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    dg.o '06: Proceedings of the 2006 international conference on Digital government research
    May 2006
    526 pages

    Sponsors

    • NSF: National Science Foundation

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    Digital Government Society of North America

    Publication History

    Published: 21 May 2006

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    Author Tags

    1. data quality
    2. eco-informatics
    3. information integration
    4. knowledge management
    5. modeling and simulation
    6. web services

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    dg.o '06
    Sponsor:
    • NSF
    dg.o '06: Digital government research
    May 21 - 24, 2006
    California, San Diego, USA

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    dg.o '06 Paper Acceptance Rate 20 of 58 submissions, 34%;
    Overall Acceptance Rate 150 of 271 submissions, 55%

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