SciDesign: Enabling Collaboration in Science | Advancing Cyberinfrastructure-Based Science Through Education, Training and Mentoring of Science Communities

Welcome

Submitted by Anonymous on Tue, 2006-11-21 23:55.

Advancing Cyberinfrastructure-Based Science through Education, Training, and Mentoring of Science Communities

This project is dedicated to assisting scientists in the design of technology-enabled science, particularly ecologists, environmental scientists, and other earth surface/biosphere scientists. It is funded by the National Science Foundation (NSF) Office of Cyberinfrastructure through the CI-Team program. This was originally a one-year demonstration project to show the efficacy of the approach. It received continued funding as a three-year implementation project.

The project is being conducted through the University of New Mexico Center for Research on Ecological Science and Technology (CREST) in collaboration with the UNM High Performance Computing Center, the UNM Center for Rapid Environmental Assessment & Terrain Evaluation, the University of Arizona Department of Geography and Regional Development, Northern Arizona University Merriam-Powell Center for Environmental Research, and University of Kansas Biodiversity and Natural History Museum.

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Publications

Submitted by penningd on Tue, 2009-02-10 14:43.

Pennington, D., (submitted February 2009) Problem Finding in Interdisciplinary Research Teams.

Pennington, D., (submitted January 2009), Enabling co-emergent innovation in collaborative science and technology research teams: A distributed cognition approach.

Pennington, D., (submitted November 2008), Collaborative research teams as dynamic distributed cognitive systems.

Accepted, in press, or published:

Downey, L.L. and Pennington, D., (2009), Bridging the gap between technology and science with examples from ecology and biodiversity. International Journal of Biodiversity Informatics. [in press]

Pennington, D., Athanasiadis, I.N., Bowers, S., Krivov, S., Madin, J., Schildhauer, M., and Villa, F., (2009), Indirectly-driven knowledge modeling in ecology. International Journal of Metadata, Semantics and Ontologies. [in press]

Pennington, D.D., Michener, W.K., Katz, S., Downey, L., and Schildhauer, M. (2008), Transforming scientists through technical education: A view from the trenches. Computing in Science and Engineering Special Issue on Education 10(5):28-33.