The following is a joint Dear Colleague Letter from three Assistant Directors at the National Science Foundation – Margaret Martonosi (CISE), James L. Moore III (STEM Education (EDU)), Susan S. Margulies (Engineering (ENG)) Sean L. Jones (Mathematical & Physical Sciences (MPS)), and Sylvia Butterfield (Social, Behavioral, & Economic Sciences (SBE)). The letter calls for input from the community on possible topics and future directions for cybersecurity and privacy research. You can read the original on the NSF website here. March 1, 2023 Dear Colleagues: OVERVIEW For over a decade, the National Science Foundation’s Secure and Trustworthy Cyberspace (SaTC) program has been NSF’s flagship cybersecurity and privacy research program, supporting approximately $1 […]

The following is a joint Dear Colleague Letter from three Assistant Directors at the National Science Foundation – Simon Malcomber (Directorate for Biological Sciences), Susan S. Margulies (Directorate for Engineering) and Erwin Gianchandani (Directorate for Technology, Innovation and Partnerships). The letter calls for proposals and supplemental funding requests for bioinspired designs grounded in foundational and use-inspired research. You can read the original on the NSF website here. February 15, 2023 Dear Colleagues: As stated in the National Science Board’s Vision 2030 report, “[The U.S.] must do more to ensure that discoveries are translated into innovations.”1 Bioinspired design is a powerful means of addressing this imperative which also aligns with Strategic Goal 2 – […]

The National Science Foundation (NSF) recently released a joint Dear Colleague Letter (DCL) announcing the launch of the Advanced Cyberinfrastructure Coordination Ecosystem of Services and Support (ACCESS) program. The program will provide services that ensure the continued access and availability of the cyberinfrastructure (CI) ecosystem for the science and engineering research and education communities. This has the potential to grant communities access to resources such as cloud-data infrastructure, testbeds and high performance computing systems, connect supporting researchers with similar research goals, and predict the CI ecosytem’s needs. The following is a joint Dear Colleague Letter from Margaret Martonosi (Assistant Director of the Computer and Information Science and Engineering directorate) and Manish […]

Climate change is a hot topic that has ongoing conversations in every field imaginable, computer science being no exception. Researchers and scientists are increasingly concerned about the negative impacts computing has on the environment. While car exhaust, carbon footprints from factories and other obvious forms of pollution take the forefront in people’s minds – everyday actions done on the computer such as downloading a movie, flipping through TikTok or streaming YouTube videos uses a considerable amount of energy. In addition, technology such as laptops and phones contain a lot of toxic chemicals and heavy metals that infiltrate the environments upon disposal. Computer scientists are starting to rethink the way we […]

As technology advances and becomes an increasingly ubiquitous aspect of everyday life, researchers and the world at large must consider ways to minimize negative effects caused by computing to ensure sustainable development. A large area of concern is environmental impacts, including computing’s contributions to climate change. The Computing Community Consortium has been supporting research in this area in a multitude of ways including a white paper Computing Research for the Climate Crisis and the creation of the Computing and Challenges to Humanity: Climate task force which focuses on climate change/sustainable computing. Recently, Assistant Director for the National Science Foundation’s Computer and Information Science and Engineering (CISE) Directorate, Margaret Martonosi, released […]

Artificial Intelligence (AI) development is driven by large amounts of data and information. This type of information is captured in knowledge graphs, entities that are expensive and time-consuming to create. As a result, only large corporations own the largest and most effective knowledge graphs, with few researchers having the ability to access or develop their own knowledge sets. This phenomenon leaves a need for Open Knowledge Networks (OKN), a highly distributed knowledge network with open contributions and open access. A public resource of this kind would enable new research and foster the next wave of knowledge-powered AI. In 2018, the Computing Community Consortium (CCC) partnered with the Association for the […]