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Seeking proposals on how to implement the Open Source paradigm of the IT industry in the area of Drug Discovery

"In the field of observation, chance favors only the prepared mind."

Since Google Earth hit the Web in 2005, besides instantly turning all office desk globes into decorative accessories, it has opened the world up to global exploration at the click of a mouse. But it's not just a neat toy; some extraordinary things have been discovered with its one-click access to satellite imagery.

For the average biologist, hands-on literature mining currently means a keyword search in PubMed. However, methods for extracting biomedical facts from the scientific literature have improved considerably, and the associated tools will probably soon be used in many laboratories to automatically annotate and analyse the growing number of system-wide experimental data sets. Owing to the increasing body of text and the open-access policies of many journals, literature mining is also becoming useful for both hypothesis generation and biological discovery. However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists.

Help solar scientists spot explosions on the Sun and track them across space to Earth. Your work will give astronauts an early warning if dangerous solar radiation is headed their way. And you could make a new scientific discovery.

BOINC harnesses the idle time of participants' computers for a massive, crowdsourced version of distributed computing. This computing power is then marshaled for and made available for virtuous scientific necessities including global warming research, planet discovery, extraterrestrial study, and more. The entities and projects utilizing the BOINC platform to crowdsource their research include SETI, FightAIDS@home, the Collatz Conjecture project and more.

Use the idle time on your computer (Windows, Mac, or Linux) to cure diseases, study global warming, discover pulsars, and do many other types of scientific research. It's safe, secure, and easy: Or, if you run several projects, try an account manager such as GridRepublic or BAM!.

Widespread use of a comprehensive CI framework has the potential to revolutionize every science and engineering discipline as well as education. Computing power, data volumes, software, and network capacities are all on exponential growth paths. Highly diverse, multidisciplinary collaborations and partnerships are growing dramatically, greatly enabled by new and emerging technologies, spanning multiple agencies and international domains to address complex grand challenge problems. Scientific discovery is being advanced by linking computational facilities and instruments to build highly-capable simulation models, sophisticated algorithms, software, and other tools and services. CIF21 will enable new approaches to research and education - supporting new modalities such as distributed collaborative networks, allowing researchers to more easily adapt to changes in the research and education process, and providing an integrated framework for people, instruments, and tools to address complex problems and conduct multidisciplinary research. CIF21 will consist of secure, geographically distributed, and connected CI: advanced computing facilities, scientific instruments, software environments, advanced networks, data storage capabilities, and the critically important human capital and expertise.

Driven by input from its scientific community, the Cancer Imaging Program (CIP) finds itself at the junction of two powerful scientific requisites; the need for cross-disciplinary research and inter-institutional data-sharing to speed scientific discovery and reduce redundancy, and the need to provide imaging phenotype data to augment large scale genomic analysis.

"All models are wrong, but some are useful." So proclaimed statistician George Box 30 years ago, and he was right. But what choice did we have? Only models, from cosmological equations to theories of human behavior, seemed to be able to consistently, if imperfectly, explain the world around us. Until now.

In 1981, the New England Journal of Medicine published a Harvard study that showed an unexpected link between drinking coffee and pancreatic cancer. As it happened, researchers were anticipating a connection between alcohol or tobacco and cancer. But according to the survey of several hundred patients, booze and cigarettes didn't seem to increase your risk.

Elsevier is offering $35,000 in prizes and challenging software developers to help more than 15 million researchers, medical professionals, librarians and students navigate scientific content, improve scientific search and discovery, visualize sophisticated data in more insightful and attractive ways and stimulate collaboration.