|Future Directions for NSF Advanced Computing Infrastructure to Support U.S. Science and Engineering in 2017-2020
Advanced computing capabilities are used to tackle a rapidly growing range of challenging science and engineering problems, many of which are compute- and data-intensive as well. Demand for advanced computing has been growing for all types and capabilities of systems, from large numbers of single commodity nodes to jobs requiring thousands of cores; for systems with fast interconnects; for systems with excellent data handling and management; and for an increasingly diverse set of applications that includes data analytics as well as modeling and simulation. Since the advent of its supercomputing centers, the National Science Foundation (NSF) has provided its researchers with state-of-the-art computing systems. The growth of new models of computing, including cloud computing and publically available by privately held data repositories, opens up new possibilities for NSF.
In order to better understand the expanding and diverse requirements of the science and engineering community and the importance of a new broader range of advanced computing infrastructure, the NSF requested that the National Research Council carry out a study examining anticipated priorities and associated tradeoffs for advanced computing. Future Directions for NSF Advanced Computing Infrastructure to Support U.S. Science and Engineering in 2017-2020 provides a framework for future decision-making about NSF’s advanced computing strategy and programs. It offers recommendations aimed at achieving four broad goals: (1) position the U.S. for continued leadership in science and engineering, (2) ensure that resources meet community needs, (3) aid the scientific community in keeping up with the revolution in computing, and (4) sustain the infrastructure for advanced computing.
|Privacy Research and Best Practices: Summary of a Workshop for the Intelligence Community
Recent disclosures about the bulk collection of domestic phone call records and other signals intelligence programs have stimulated widespread debate about the implications of such practices for the civil liberties and privacy of Americans. In the wake of these disclosures, many have identified a need for the intelligence community to engage more deeply with outside privacy experts and stakeholders.
At the request of the Office of the Director of National Intelligence, the National Academies of Sciences, Engineering, and Medicine convened a workshop to address the privacy implications of emerging technologies, public and individual preferences and attitudes toward privacy, and ethical approaches to data collection and use. This report summarizes discussions between experts from academia and the private sector and from the intelligence community on private sector best practices and privacy research results.