At last week’s meeting of the Advisory Committee (AC) for the National Science Foundation’s (NSF) Directorate for Computer and Information Science and Engineering (CISE), Computer and Network Systems (CNS) Division Director Keith Marzullo delivered a presentation summarizing the Foundation’s research infrastructure programs, notably the Foundation-wide Major Research Infrastructure (MRI) program and CISE-specific Computing Research Infrastructure (CRI) program. Marzullo’s talk, and the ensuing discussion, served to illustrate that both initiatives constitute great opportunities for the CISE research community. According to the solicitations: The Major Research Instrumentation Program (MRI) serves to increase access to shared scientific and engineering instruments for research and research training in our Nation’s institutions of higher education, museums, science centers, and not-for-profit organizations… To accomplish these […]

Last fall, the Department of Defense (DoD) issued a Broad Agency Announcement (BAA) for its Defense University Research Instrumentation Program (DURIP), which “augments current university capabilities or develops new university capabilities to perform cutting-edge defense research.” At the time, the BAA specifically encouraged proposals “for instrumentation supporting research in robotics.” Today, the DoD is announcing the results of the competition — $54.7 million in awards to purchase state-of-the-art research equipment — and at least a dozen of these awards involve robotics research. According to the DoD press release (following the link):

The organizers for this year’s second KDD workshop on Data Mining Applications in Sustainability (SustKDD 2012) have issued a call for papers. The workshop seeks to bring together researchers working on applications of Knowledge Discovery and Data-mining (KDD) to sustainability in diverse areas, especially in infrastructures such as IT, Smart Grids, water, and transportation. From the call for papers (following the link):

An article published in Nature this afternoon is generating some buzz in the news media, largely for the advances in fundamental computing research, particularly with respect to brain-machine interfaces. From a msnbc.com story: The stroke that disconnected Cathy Hutchinson’s brain from her body has kept her silent and unable to move for more than 14 years. But science is starting to change all that.   Researchers have connected the 58-year-old woman’s brain to a computer that runs a robotic arm. As Hutchinson sits at a table staring at a bottled drink and imagining the robot grabbing the bottle and bringing it to her mouth, the robot arm begins to move.   The […]

The following is a special contribution to this blog from Mario Bergés, an assistant professor in the department of civil and environmental engineering at Carnegie Mellon University. Mario recently co-organized the first International Workshop on Non-Intrusive Load Monitoring. (This post originally appeared here.) Last Monday, May 7th, the 1st International Non-Intrusive Load Monitoring (NILM) Workshop took place on the campus of Carnegie Mellon University. Zico Kolter and I had been organizing this event for the past few months, in an attempt to bring together the community of researchers and industry practitioners who are working on electricity disaggregation. By all measures, the resulting event exceeded our expectations. We had a great turnout (60 participants) and […]

For those who missed last Tuesday’s webinar about the Core Techniques and Technologies for Advancing Big Data Science and Engineering (BIGDATA) program — the centerpiece of the Administration’s $200 million Big Data R&D Initiative — the National Science Foundation (NSF) and National Institutes of Health (NIH) today announced that they will hold a second webinar next Monday, May 21st at 11am EDT. Registration for the May 21st webinar (click here) will remain open until 11:59pm PDT on Sunday, May 20th. Questions about the solicitation may be e-mailed to bigdata@nsf.gov before or during the webinar. As we’ve reported before, the BIGDATA solicitation aims (following the link):