CfP Special Track Science 2.0 (#STS20)


 

5 September 2012
Graz, Austria

http://i-know.tugraz.at/i-science/science-2-0

Science 2.0 deals with the involvement of the web in science. It spans from the utilization of Web 2.0 tools and technologies in research to a more open and sharing approach to science. Some definitions of Science 2.0 even include notions of a methodological change due to the abundance of data, and the nature of the socio-technical systems on the web. For this special track, we would like to address four issues in Science 2.0 that have proven both promising and challenging at the same time:

  1. The management of scientific data, both primary and secondary data (such as publication metadata, and other scientific content on the web) as a precondition for Science 2.0.
  2. The recommendation of people and resources as a consequential next step in an exponentially growing scientific environment.
  3. Quantitative and qualitative analysis of science based on data from scholarly communication on the web.
  4. The change in scientific practices due to the involvement of Science 2.0 tools and technologies in the research process and the effects this has on science itself.

Topics of interest include but are not limited to:

  • Definition of data schemes and interoperability formats
  • Semantic Web standards for Science 2.0
  • Social mining and metadata extraction in academic resources
  • Metadata quality and quality assessment
  • Design and architecture of data sharing facilities
  • Systems design accounting for standardized data sets
  • Applications for recommendation in science
  • Specific challenges for recommendation in science
  • Information retrieval in academic papers
  • Recommendation algorithms and quality indicators
  • Changes in scientific practices due to Web 2.0
  • Methodological issues and interdisciplinarity in Science 2.0
  • Opportunities and threats for researchers and research organizations
  • Applications in and for Science 2.0
  • Awareness-support for Science 2.0 activities
  • Crowd-sourcing in science
  • Robust methods for dealing with noisy crowd sourced data

Important Dates

30 April 2012: Submission of full papers (8 pages) and demos (4 pages)
31 May 2012: Notification of acceptance
30 June 2012: Camera ready version (8 pages)
5 Sept.-7 Sept. 2012: i-KNOW 2012 Conference

Submission Procedure

We are inviting research papers of up to 8 pages including references and an optional appendix. Furthermore, we invite demos for the special track. Demo submissions should consist of a 4 page description that allows us to judge the quality of your demonstration. The Conference Proceedings of i-KNOW 2012 will be published by ACM ICPS.

Paper Submission Details: http://i-know.tugraz.at/i-science/paper-submission

In case of problems or questions concerning the submission of papers, please contact the track chairs at pkraker[at]know-center.at

Notification of Acceptance and Publishing

Authors of accepted papers will be notified by 31 May 2012. Accepted papers and demos will be included in the Conference Proceedings. The Conference Proceedings of i-KNOW 2012 will be published by ACM ICPS. At least one author of an accepted paper must register for i-KNOW 2012 before the deadline for camera ready versions (30 June 2012) in order to get the paper published in the conference proceedings.

Chairs of Science 2.0

The organization team of the Science 2.0 Special Track consists of the following people:

  • Peter Kraker, Know-Center Graz (Austria)
  • Roman Kern, Know-Center Graz (Austria)
  • Kris Jack, Mendeley (UK)

Program Committee (preliminary)

  • Hendrik Drachsler, Open Universiteit Nederland (Netherlands)
  • Erik Duval, Katholieke Universiteit Leuven (Belgium)
  • Olivier Ferret, CEA Saclay Nano-INNOV (France)
  • Michael Granitzer, University of Passau (Germany)
  • Greg Grefenstette, Exalead (France)
  • Paul Groth, VU University of Amsterdam (Netherlands)
  • Denis Gillet, École Polytechnique Fédérale de Lausanne (Switzerland)
  • Min-Yen Kan, National University of Singapore (Singapore)
  • Daniel Lemire, LICEF Research Center (Canada)
  • Isabella Peters, Heinrich-Heine-Universität Düsseldorf (Germany)
  • Jason Priem, University of North Carolina (United States)
  • Wolfgang Reinhardt, University of Paderborn (Germany)
  • Katrin Weller, Heinrich-Heine-Universität Düsseldorf (Germany)
  • Fridolin Wild, The Open University (UK)
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