Wednesday, October 31, 2007

Launch of _SciTechNet(sm): Science and Technology Social Neworking Services_


I am pleased to announce the launch of SciTechNet(sm): Science and Technology Social Networking Services. SciTechNet(sm) is devoted to "describing and documenting online social networking services in the Sciences and Technology and is available at


SciTechNet(sm) has been seeded with a full description of the Nature Network, an “… online meeting place for … [scientists] and fellow scientists to gather, talk and find out about the latest scientific news and events.”

Within the Nature Network registered members can

  • create their own personal profile in which they can describe themselves and their research interests

  • establish a group for one’s lab, department or institution, or create a topic-based group

  • join and have discussions with group members

  • build their own online network of like-minded people

  • offer your views on developments in your field or in the broader world of science

  • post comments on other individual’s blogs

  • search and browse a comprehensive listing of all forthcoming seminars and conferences

  • registered users can post their own events

  • read the latest news, views and historical insights in the news sections of the networks featured cities

  • discuss articles using the network’s commenting system

  • browse local job listings
For Full Details And Links for the Nature Network Visit SciTechNet(sm) [ ]

BTW: There is a Feedburner Webfeed for SciTechNet at []

I have identified Other SciTech SNS but would appreciate learning of Any and All Others.

There is a Companion SciTechNet(sm) Facebook group devoted to "describing, discussing, and documenting online social networking services in the Sciences and Technology" and is available at

[ ]



1 comment:

Expertise said...

Dear Gerry, you may be interested in a variant of the scientific social networking approach: This is a data mining tool intended to help scientists find and evaluate potential collaborators by providing a quantitative portrait of academic researchers in the life sciences.

It is not a conventional social network in the sense that we don't require users to disclose themselves to the network that emerges from our web monitoring bots. Rather, we mine "gated" research products of scientists (papers, grants, patents, and soon, clinical trials) to identify and assess the expertise of biomedical scientists, currently limited to those operating at Stanford University and UCSF.

Our goal is to enable scientific collaborations by facilitating the FINDING and EVALUATING of scientists. While finding scientists is doable using systems like COS Expertise, SciTechNet and LinkedIn, evaluating them to generate a ranked list a la Google is much harder, and is arguably the more valuable step.

This is because the lack of data integration hinders rigorous evaluation. By integrating and cleansing researcher data, delivers a quantitative profile of academic researchers in its database. This makes it very easy to answer questions such as "find all scientists with expertise in X and rank them according to that expertise".