a cooperative environment for the scientific research of trust metrics on social networks. This is the wiki, where we review and understand trust and its related issues. You can also find more information about research on trust metrics, and the researchers involved in this. For this we mostly use the Creative Commons Attribution license. We are also working on Python code, available under the GNU General Public License, to compare all proposed trust metrics on the same datasets. See Science Commons for more information about our mode of research.

Results support a focus on work attributes in interpreting collaboration propensity. That is, cultural factors such as competition for individual recognition and concerns about intellectual property were not perceived as significant impediments to collaboration. Instead, characteristics like resource concentration and the need for coordination were more important in determining collaboration propensity. Implications of these findings include a call for more careful examination of the day-to-day work of scientists and engineers, and a suggestion that concerns about scientific competition impeding collaboration may be unwarranted.

The book offers commentary from notable experts in the field along with case studies of large-scale collaborative projects, past and ongoing. The projects described range from the development of a national virtual observatory for astronomical research to a National Institutes of Health funding program for major multilaboratory medical research; from the deployment of a cyberinfrastructure to connect experts in earthquake engineering to partnerships between developed and developing countries in AIDS research. The chapter authors speak frankly about the problems these projects encountered as well as the successes they achieved. The book strikes a useful balance between presenting the real stories of collaborations and developing a scientific approach to conceiving, designing, implementing, and evaluating such projects. It points to a future of scientific collaborations that build successfully on aspects from multiple disciplines.