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DICOSE: Data-Intensive Collaboration in Science and Engineering

A workshop (W2) to be held at CSCW 2012 in Seattle, February 11, 2012.

Important Dates

Overview

Science and engineering are facing huge increases in data volumes and shifts toward more data-intensive work. The amount of data being produced is rapidly increasing with the development of new sensing and computer technologies, increasing use of computational simulation, and a move toward larger-scale and more interdisciplinary projects. This trend is affecting not just academic research, but also corporate, government, military, and intelligence work as well. The proliferation of new sensors and increasingly powerful processors is set against the relatively static nature of human cognitive capabilities. This “data deluge” presents challenges for conducting collaborative knowledge work and opportunities to provide better computational and organizational support for that work. This workshop will bring together researchers studying various aspects of collaborative data-intensive work in order to understand these challenges and design systems to support the particular needs of these collaborations.

Agenda

Location: Cedar B

Notes and Resources

Please post resources, notes, comments, or links to new pages of workshop-generated content here.

Initial Fishbowl Discussion

Methods Fishbowl Discussion Notes

Data Sharing Fishbowl Discussion Notes

From discussion of who assigns power, there is a very good account recently published on the relationship between economics and science [1]

Accepted Position Papers

Organizers

Prior Cyberinfrastructure Workshops

This workshop is conceived as part of a series of workshops on HCI and CSCW approaches to cyberinfrastructure and scientific collaboration. Previous workshops were broadly themed, and included:

Questions? Comments?

E-mail organizers@dicose.org.

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