The following is a special contribution to this blog by Carlos Guestrin, who will be joining the faculty of the University of Washington computer science and engineering department this fall. Carlos led the organization of the First GraphLab Workshop on Large-scale Machine Learning in San Francisco, CA. The scale and complexity of data on the web continues to grow at a tremendous rate. A recent New York Times article compared Big Data to an economic asset for companies, like currency and gold. But, in order to extract value from 6 billion Flickr images, 900 million Facebook users, 24 million Wikipedia articles, or the 72 hours of video uploaded to YouTube per minute, we need […]

The National Coordination Office (NCO) for the Networking and Information Technology Research and Development (NITRD) Program — the Federal program that provides a framework and mechanisms for coordination among 15 Federal agencies collectively investing over $4 billion annually in networking and information technology research and development — has announced plans to hold the third in a series of workshops to bring together experts from academia and industry to help “create and implement a plan to facilitate research, development, experimentation, and testing by researchers to explore innovative spectrum-sharing technologies, including those that are secure and resilient.” The workshop will take place on July 24, 2012, in Boulder, Colorado. According to the announcement (following the […]

The following is a special contribution to this blog from Robin Murphy, Raytheon Professor of Computer Science and Engineering and director of the Center for Robot-Assisted Search and Rescue at Texas A&M University. Back in April, Robin co-organized a visioning workshop about the role of computing in disaster management (including preparedness, prevention, response, and recovery). Here Robin summarizes the workshop, as well as the final report — Computing for Disasters: A Report from the Community Workshop — that the Computing Community Consortium (CCC) is releasing today. What would it take to reach a point when the unimaginable could be predicted, handled, and coordinated so that it no longer constituted an emergency? What […]

“How is the general population of researchers and institutions to meet [the needs of] ‘Big Data’?” That was the question posed last week by Ian Foster, director of the Computation Institute at Argonne National Laboratory, before a packed auditorium at the National Institute of Standards and Technology (NIST) just outside Washington, DC. Foster was delivering one of the keynotes at NIST’s BIG DATA Workshop, a two-event that assembled leading experts from academia, industry, and government to explore key topics in support of the Federal government’s recently-announced $200 million Big Data R&D Initiative. Foster’s answer? (Follow the link to find out!)

The White House Office of Science and Technology Policy (OSTP) — together with the Case Foundation and the Joyce Foundation — is hosting an event Tuesday on Public Sector Prizes, seeking to further understand the role of incentive prizes and challenges in the public sector — and to catalyze future initiatives in this space. A portion of the event will be streamed live via the web for those interested. According to an OSTP announcement (following the link):

Back in January, the National Science Board (NSB) released a report — National Science Foundation’s Merit Review Criteria: Review and Revisions — recommending that NSF “better define the two criteria for the benefit of the science community.” The report specified three principles governing the National Science Foundation’s (NSF) approach to utilizing these criteria. Last month, the NSF, together with research councils from 50 countries, established a Global Research Council and issued six merit review principles at the conclusion of the first-ever Global Summit on Merit Review. The principles (following the link):