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3 - Infrastructure for collaboration

from Part II

Published online by Cambridge University Press:  06 January 2010

Brent Yarnal
Affiliation:
Pennsylvania State University
Colin Polsky
Affiliation:
Clark University, Massachusetts
James O'Brien
Affiliation:
Kingston University, London
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Summary

Introduction

In a world connected by networks that enable instant transmission of voices, images, and data, environmental science is changing in ways that bring researchers, students, decision-makers, and citizens closer than ever before. Realizing the potential of this connected world depends on building an infrastructure, both technological and human, that enables effective interaction.

Why is infrastructure necessary? Local actions have global impacts, and global changes have local effects. Understanding the full complexity of environmental problems depends on the ability of researchers, students, decision-makers, and stakeholders to work across the continuum of scales that characterize the causes of and responses to environmental change (Association of American Geographers Global Change in Local Places Research Team 2003; Kates and Wilbanks 2003). A primary goal for a flourishing HERO network would be to build the information resources to support long-term scientific research partnerships needed to understand these changes. For the data collection and analysis efforts of a HERO network to succeed, geospatial technology and methods that are developed and implemented must meet two goals. First, the technology and methods must facilitate context- and task-sensitive encoding of data in, and retrieval of data from, the very large and complex data warehouses that will develop. Second, the technology and methods must support collaboration among scientists at different HEROs as they work together on common problems.

Type
Chapter
Information
Sustainable Communities on a Sustainable Planet
The Human-Environment Regional Observatory Project
, pp. 34 - 58
Publisher: Cambridge University Press
Print publication year: 2009

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References

,Association of American Geographers Global Change in Local Places Research Team, (eds.,) 2003. Global Change in Local Places: Estimating, Understanding, and Reducing Greenhouse Gases. Cambridge: Cambridge University Press.Google Scholar
Berners-Lee, T., Hendler, J., and Lassila, O., 2001. The semantic web. Scientific American 284(5): 34–43.CrossRefGoogle Scholar
Brewer, I., MacEachren, A. M., Abdo, H., Gundrum, J., and Otto, G., 2000. Collaborative geographic visualization: enabling shared understanding of environmental processes. In Proceedings IEEE Symposium on Information Visualization (InfoVis 2000), October 9–10, 2000, p. 137.
Buckingham Shum, S., Motta, E., and Domingue, J., 2000. ScholOnto: an ontology-based digital library server for research documents and discourse. International Journal on Digital Libraries 3(3): 237–248.CrossRefGoogle Scholar
Cerf, V., 1993. National Collaboratories: Applying Information Technology for Scientific Research. Washington, D.C.: National Academy Press.Google Scholar
Craver, J. M. and Gold, R. S., 2002. Research collaboratories: their potential for health behavior researchers. American Journal of Health Behavior 26(6): 504–509.CrossRefGoogle ScholarPubMed
Dalkey, N. C., 1969. The Delphi Method: An Experimental Study on Group Opinion. Santa Monica, CA: RAND Corporation.Google Scholar
Daly-Jones, O., Monk, A., and Watts, L., 1998. Some advantages of video conferencing over high-quality audio conferencing: fluency and awareness of attentional focus. International Journal of Human–Computer Studies 49(1): 21–58.CrossRefGoogle Scholar
Edelson, D., Pea, R., and Gomez, L. M., 1996. The Collaboratory Notebook. Communications of the Association for Computing Machinery 39(4): 32–33.CrossRefGoogle Scholar
Finholt, T., 2002. Collaboratories. Annual Review of Information Science and Technology 36: 73–108.CrossRefGoogle Scholar
Fischer, G., and Ostwald, J., 2001. Knowledge management: problems, promises, realities, and challenges. IEEE Intelligent Systems 16(1): 60–72.CrossRefGoogle Scholar
Henline, P., 1998. Eight collaboratory summaries. Interactions 5(3): 66–72.CrossRefGoogle Scholar
Hey, T., and Trefethen, A., 2003. e-Science and its implications. Philosophical Transactions of the Royal Society of London A 361: 1809–1825.CrossRefGoogle Scholar
Kates, R., and Wilbanks, T., 2003. Making the global local: responding to climate change concerns from the ground up. Environment 45(3): 12–23.Google Scholar
Kaur, S., Mann, V., Matossian, V., Muralidhar, R., and Parashar, M., 2001. Engineering a distributed computational collaboratory. Proceedings of the 34th Annual Hawaii International Conference on System Sciences, Vol. 9, p. 9026.
Keahey, K., Fredian, T., Peng, Q., Schissel, D. P., Thompson, M., Foster, I., Greenwald, M., and McCune, D., 2002. Computational grids in action: the national fusion collaboratory. Future Generation Computer Systems 18(8): 1005–1015.CrossRefGoogle Scholar
Kouzes, R., Myers, J. D., and Wulf, W. A., 1996. Collaboratories: doing science on the internet. Computer 29(8): 40–46.CrossRefGoogle Scholar
Kuhlman, K. M., Soffer, A., and Foresman, T. W., 1997. Development of a three-tier metadata documentation scheme: examining Level 1 as an Internet accessible metadata input and search tool. Proceedings of the 2nd IEEE Metadata Conference, Piscataway, NJ: IEEE.Google Scholar
Lin, C.-Y., 1995. Topic identification by concept generalization. Proceedings of the 33rd Conference of the Association of Computational Linguistics, Boston, MA.Google Scholar
Linstone, H., and Turoff, M., 1975. The Delphi Method. Reading, MA: Addison-Wesley.Google Scholar
Lysakowski, R., and Doyle, L., 1998. Electronic lab notebooks: paving the way of the future of R&D. Records Management Quarterly: 23–28.Google Scholar
Mani, I., 2001. Automatic Summarization. Amsterdam: John Benjamins.CrossRefGoogle Scholar
Myers, J., Mendoza, E., and Hoopes, B., 2001. A collaborative electronic notebook. Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications, Honolulu, HI, August 13–16, 2001, pp. 334–338.Google Scholar
Nagels, J. W., Davies-Colley, R. J., and Smith, D. G., 2001. A water quality index for contact recreation in New Zealand. Water Science and Technology 43(5): 285–292.CrossRefGoogle ScholarPubMed
,National Research Council (NRC), 2003. NEON: Addressing the Nation's Environmental Challenges. Washington, D.C.: National Academies Press.Google Scholar
,National Science Foundation (NSF), 2003. Revolutionizing Science and Engineering through Cyberinfrastructure, Report of the National Science Foundation Blue Ribbon Advisory Panel on Cyberinfrastructure. Accessed at www.communitytechnology.org/nsf_ci_report/.
Olson, G. M., and Olson, J. S., 2000. Distance matters. Human–Computer Interaction 15: 139–178.CrossRefGoogle Scholar
Olson, G. M., Atkins, D. E., Clauer, R., and Finholt, T. A., 1998. The upper atmosphere research collaboratory. Interactions 5(3): 48–55.CrossRefGoogle Scholar
Olson, G. M., Teasley, S., Bietz, M. J., and Cogburn, D. L., 2002. Collaboratories to support distributed science: the example of international HIV/AIDS research. Proceedings of the 2002 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists on Enablement through Technology, Pretoria, South Africa.
Pike, W., and Gahegan, M., 2003. Constructing semantically scalable cognitive spaces. In Lecture Notes in Computer Science 2825/2003, pp. 332–348. Berlin: Springer.Google Scholar
Russell, M., Allen, G., Daues, G., Foster, I., Seidel, E., Novotny, J., Shalf, J., and Laszewski, G., 2001. The astrophysics simulation collaboratory: a science portal enabling community software development. Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing, San Francisco, CA.
Schissel, D. P., 2002. An advanced collaborative environment to enhance magnetic fusion research. Workshop on Advanced Collaborative Environments, Edinburgh, UK.Google Scholar
Schissel, D. P., Finkelstein, A., Foster, I. T., Fredian, T. W., Greenwald, M. J., Hansen, C. D., Johnson, C. R., Keahey, K., Klasky, S. A., Li, K., McCune, D. C., Peng, Q., Stevens, R., and Thompson, M. R., 2002. Data management, code deployment, and scientific visualization to enhance scientific discovery in fusion research through advanced computing. Fusion Engineering and Design 60(3): 481–486.CrossRefGoogle Scholar
Sonnenwald, D. H., and Li, B., 2003. Scientific collaboratories in higher education: exploring learning style preferences and perceptions of technology. British Journal of Educational Technology 34(4): 419–431.CrossRefGoogle Scholar
Sonnenwald, D. H., Whitton, M. C., Maglaughlin, K. L., 2003. Evaluating a scientific collaboratory: results of a controlled experiment. ACM Transactions on Computer–Human Interaction 10(2): 150–176.CrossRefGoogle Scholar
Sowa, J. F., 2000. Knowledge Representation: Logical, Philosophical, and Computational Foundations. Pacific Grove, CA: Brooks/Cole.Google Scholar
Suthers, D., 1999. Representational support for collaborative inquiry. Proceedings of the 32nd Hawaii International Conference on System Sciences, p. 1076.
Tapio, P., 2002. Climate and traffic: prospects for Finland. Global Environmental Change: Human and Policy Dimensions 12(1): 53–68.CrossRefGoogle Scholar
Taylor, J. G., and Ryder, S. D., 2003. Use of the Delphi method in resolving complex water resources issues. Journal of the American Water Resources Association 39(1): 183–189.CrossRefGoogle Scholar
Turoff, M., 1971. Delphi and its potential impact on information systems. Proceedings AFIPS Conference, vol. 39.
Turoff, M., 1972. Delphi conferencing: computer-based conferencing with anonymity. Technological Forecasting and Social Change 3: 159–204.CrossRefGoogle Scholar
Turoff, M., and Hiltz, S., 1996. Computer based Delphi processes. In Gazing into the Oracle: The Delphi Method and its Application to Social Policy and Public Health, eds. Adler, M. and Ziglio, E., pp. 3–33. London: Kingsley.Google Scholar
Zare, R. N., 1997. Knowledge and distributed intelligence. Science 275: 1047.CrossRefGoogle Scholar

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