I’ll be presenting a poster at the Third Annual CDD Community Meeting, October 1st at the J. David Gladstone Institute in San Francisco, California.

Below are the title and abstract.

Using Expertise Finding To Make Better Scientific Partnering Decisions
ResearchScorecard.com is a scientific social networking site designed to greatly increase the quality of scientific partnering decisions. By applying a suite of data mining algorithms to vast collection of descriptors of academic bioresearchers, we enable a much more robust assessment of potential collaborators, all with maximal ease of use. Contrary to most social networking or people finder sites, ResearchScorecard’s data are gathered automatically from public sources on the web, followed by heavy cleansing and semantic integration. Only objects of recognized credibility, such as peer-reviewed papers, grants and patents are considered. This approach enables one of the unique features of the site: determining the ranking of researchers based on the degree of domain expertise and overall prominence. Two use cases are described: searching for expertise, and monitoring for new grants awarded to one’s collaborators.