The following is a guest blog post from Ran Canetti, a professor of Computer Science at Boston University and the Director of the Center for Reliable Information System and Cyber Security. At the Computing Community Consortium (CCC) we know that everyone is dealing with a lot in these unprecedented times. We are continuing to work on behalf of the computing research community to catalyze research, but we also want to provide ways to help the community. This blog is from a series of posts about ways computing researchers are using computing to adapt and help in these times. We hope you find something that may help you, either now or in the future. In 1945, the atomic bomb brought a swift end […]

Significant contributions to this post were provided by former Computing Community Consortium (CCC) Council member and current Computing Research Association (CRA) Board member Shashi Shekhar from the University of Minnesota and Computing Research Association (CRA) Board member Kate Larson from the University of Waterloo as a representative of the Info-Can/CS-CAN.  Fifty years ago on April 22, 1970, 20 million Americans, nearly 10% of the U.S. population at the time, took to the street, college campuses, and hundreds of cities to protest environmental ignorance and demand a new way forward for our planet. This first Earth Day launched a modern environmental movement to promote community action to address environmental challenges. Past […]

Past Computing Community Consortium Council member Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), has been appointed to serve on the President’s Council of Advisors on Science and Technology (PCAST). The council provides advice to the White House on topics critical to U.S. security and the economy, including policy recommendations on the future of work, American leadership in science and technology, and the support of U.S. research and development. “I’m grateful to be able to add my perspective as a computer scientist to this group at a time when so many issues involving AI and other aspects of computing raise important scientific and policy questions for […]

What if we could link the Framingham Heart Study (NHLBI) with Alzheimer’s health data (NIH) to better understand the correlative effects in cardiovascular health with aging and dementia? What if journal articles could directly link to repository data sets and the software used for the analysis of those same data? The number of possible discoveries could increase. The proliferation of data, and the accompanying computing resources and new algorithms, brings new opportunities for discovery, as well as new challenges. This is especially important during our current health crisis. This is what the National Institutes of Health (NIH) is hoping to do through their Strategic Plan for Data Science – modernize […]

Contributions to this post were provided by Fred Kronz, SBE/NSF.  The responsible and ethical conduct of research involves not only a responsibility to generate and disseminate knowledge with rigor and integrity, but also a responsibility to: Conduct peer review with the highest ethical standards; Diligently protect proprietary information and intellectual property from inappropriate disclosure; and Treat students and colleagues fairly and with respect. Recently, at the Computing Community Consortium (CCC) Council meeting, Fred Kronz, a Program Director in the Division of Social & Economic Sciences in the Directorate for Social, Behavioral, & Economic Sciences (SBE) at the National Science Foundation (NSF), presented on CISE, SBE and the Evolving and Expanding […]

With input from the U.S. Department of Labor’s Office of Child Labor, Forced Labor and Human Trafficking, the National Science Foundation (NSF) recently published a new solicitation on Disrupting Operations of Illicit Supply Networks (D-ISN) “to support the research needed to inform the economy, security, and resilience of the Nation and the world in responding to the global threat posed by illicit supply networks.” The proposal deadline is July 1st, 2020.  Major goals of NSF’s D-ISN include: Improve understanding of the operations of illicit supply networks and strengthen the ability to detect, disrupt, and dismantle them. Enhance research communities that effectively integrate operational, computational, social, cultural and economic expertise to […]