- “That’s the goal of a $12.2 million National Center for Research Resources grant awarded today to the University of Florida and collaborators at Cornell University, Indiana University, Weill Cornell Medical College, Washington University in St. Louis, the Scripps Research Institute and the Ponce School of Medicine in Puerto Rico. The funding stems from the American Recovery and Reinvestment Act of 2009.”
- Facebook for scientists gets millions in fundingCongratulations to Cornell/Florida/Vivo on their NCRR grant: “The University of Florida, Cornell University and a handful of other schools have been awarded $12.2 million to build a social/collaborative network for scientists and researchers. The idea is to make it easier to find research and like-minded researchers in an effort to speed new discoveries.”
- “There’s a rumor going around the Internet playground that Google (Nasdaq: GOOG) likes Blackboard (Nasdaq: BBBB) . As in, likes it likes it.” – I believe the author is starting the rumor if I understand correctly.
Monthly Archive for October, 2009
- “That may be because evening people show increased motor cortex and spinal cord excitability in the evening, about 9 p.m., meaning they had maximal central nervous system drive at that time, Lagerquist said.”
- albawaba.com middle east news information::Renowned Professor Discusses WCMC-Q Students’ Involvement in Breakthrough Sleep Study“he found a new product that impressed him—the Zeo Personal Sleep Coach—and decided to use it for a study involving 450 of his students from both Ithaca and Qatar”
- link to .pdf of final report
- Cameron Neylon on Google Wave
- Lorcan Dempsey on scholarly reputation management.
- Looks like an interesting read.
- “The Science Collaboration Framework (SCF) is a software toolkit to establish web-based virtual team organizations for researchers in biomedicine. It enables researchers to publish and discuss on-line content such as articles, news, and perspectives, and to provide shared semantic context for this content using established scientific vocabularies and automated text mining.”
