[Asis-l] CFP: CSCW 2012 workshop on Data-Intensive Collaboration in Science and Engineering

[Andrea Wiggins]

If this is a topic of interest, please consider submitting a position paper! Submissions deadline extended to 2 December, 2011.

------------- Call for Papers -------------

Data-Intensive Collaboration in Science and Engineering Workshop at CSCW 2012, 11 February, 2012 in Seattle, WA

Full details: http://www.dicose.org/

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.

Themes

- Infrastructures for Big Data: We consider “Big Data” in science and engineering not just a matter of large data sets, but also of large-scale and often-distributed processes of data creation, management, use, and curation.

- Interoperability and Standards: Interoperability and standards play a key role in the development of Big Data infrastructures. 

- Data-Intensive Collaboration: The third theme for the workshop revolves around supporting new forms of data-intensive collaboration. This involves not only adapting traditional forms of science and engineering to new ways of working, but also enabling new models for large-scale data collaborations.

Participation

We welcome submissions of 2-4 page position papers that address one or more of the themes addressed above, or 8-10 page papers that address themes from both this workshop and the Mastering Data-Intensive Collaboration through the Synergy of Human and Machine Reasoning workshop (http://dicode.cti.gr/dicosyn12). Papers should be formatted using the standard HCI Archive format and should include an abstract of no more than 150 words. Position papers will be evaluated for originality, significance, quality of research, quality of writing, and contribution to workshop topic diversity. Notice of acceptance will be sent by December 9, 2011. Accepted papers and demos will be made available to all participants prior to the workshop. At least one author from each paper must attend the workshop.

Organizers

	• Matthew J. Bietz, Dept. of Informatics, University of California Irvine
	• Andrea Wiggins, School of Information Studies, Syracuse University
	• Mark Handel, The Boeing Company
	• Cecilia Aragon, Human Centered Design & Engineering, University of Washington


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Andrea Wiggins
PhD Candidate, School of Information Studies
Syracuse University

337 Hinds Hall
Syracuse, NY 13244
awiggins at syr.edu
www.andreawiggins.com