Special Track Science 2.0

In addition to the topics listed above, this years conference offers the opportunity to contribute to two Special Tracks which target the topics of Visual Analytics and Science 2.0. Both Special Tracks will take place on the first conference day (September 5, 2012) and will each feature a whole day of scientific advances, in-depth analysis, and application of the topic in focus.

Science 2.0 has become an umbrella term for 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 three 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
  • Robust methods for dealing with noisy crowd sourced data