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National Science Foundation (NSF) is seeking US industry partners and US Federal Agencies to form public-private partnerships (one or more) with NSF to co-design and jointly support research programs in advanced networking systems. Responses are due before 5:00 p.m. Eastern on May 15.
The programs built through these partnerships will seek innovations to enhance the various aspects of next generation communications, sensing, networking, and computing systems. The programs are expected to fund collaborative fundamental research that transcends the traditional boundaries of individual disciplines to achieve the program goals. These teams may consist of investigators from Institutions of Higher Education (IHEs) – Two- and four-year IHEs (including community colleges) accredited, and having a campus located in the US.
The National Science Foundation (NSF) has invested in a range of programs, including public and private partnerships, to advance the state-of-the-art in advanced networking systems research. In particular, NSF-funded research has greatly contributed to modern communication networks and systems through technologies like software-defined networking, programmable networks, disaggregation, computing and networking in the cloud, cognitive radios, spectrum sharing, massive MIMO antennas, millimeter-wave (mm-wave) transceiver devices, and artificial intelligence/machine learning (AI/ML). The far-reaching impact of innovation in networking systems has been remarkable, as shown by the critical role that broadband communication networks played in keeping people connected and businesses operational during the COVID-19 pandemic.
Recent NSF public-private partnerships with industry and other government agencies, e.g., direct partnerships with VMware and Intel, and consortia partnerships like Resilient and Intelligent NextG Systems (RINGS) and Platforms for Advanced Wireless Research (PAWR), have had fundamental impacts and paved the way for network research at scale, on topics including resilient network design, open-source wireless network software, and the application of machine learning to wired/wireless networking.
However, the demand for faster communications, increased functionality, broader availability, reduced resource consumption including size, weight, power and RF spectrum, lower latency, and service-aware networking requires research and innovation at unprecedented levels to meet the needs of our always-connected world. More effective integration between wired and wireless research communities and an increased focus on built-in security, as well as computing and machine learning advances into the next generation of networking technologies and management are needed.
Three NSF directorates (Computer and information Science and Engineering; Engineering; and Technology, Innovation and Partnerships) plan to build on past successes and provide the networking research and education community with the opportunity to pursue ambitious, fundamental research agendas that promise to define the future of advanced networking systems. Outcomes from the research projects and their products supported by these partnerships will fuel economic growth, improve national security, and result in products and services that will transform the everyday lives of people across the nation and around the world.
Source: NSF
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