CRA-I Blog

The CRA-I Blog frequently shares news, timely information about the computing research industry community, and items of interest to the general community. Subscribe to blog emails here to stay connected.

NSF Seeks Input to Develop an Investment Roadmap

Help NSF create a strategic plan to drive future U.S. technology competitiveness, and societal and economic impacts.

The U.S. National Science Foundation today issued a Request for Information, or RFI, to gather insights for the development of an investment roadmap for its Directorate for Technology, Innovation and Partnerships, or TIP, in accordance with the “CHIPS and Science Act” of 2022.

“Recent history has shown us that with clear goals, dedicated resources and cross-sector collaboration, we can achieve the unimaginable,” said Erwin Gianchandani, NSF assistant director for Technology, Innovation and Partnerships. “Through the creation of a roadmap informed by thoughtful and diverse contributors, we can strategically advance key technology areas, address societal and economic challenges, and strengthen U.S. competitiveness for generations to come.”

NSF seeks feedback from individuals and organizations across all sectors — industry, academia, nonprofits, government, venture capital, civil society and others — on prioritizing and focusing TIP investments to advance U.S. technological competitiveness and address societal and economic needs as well as workforce gaps through use-inspired and translational research, public and private partnerships, and crosscutting investments.

The “CHIPS and Science Act” tasks the TIP directorate with developing a roadmap to guide investment decisions in use-inspired and translational research over a three-year time frame to advance U.S. competitiveness and develop the U.S. workforce in 10 critical technology areas and to address societal, national and geostrategic challenges in five areas listed below.

Critical technology focus areas

  1. Artificial intelligence, machine learning, autonomy and related advances.
  2. High-performance computing, semiconductors, and advanced computer hardware and software.
  3. Quantum information science and technology.
  4. Robotics, automation and advanced manufacturing.
  5. Natural and anthropogenic disaster prevention or mitigation.
  6. Advanced communications technology and immersive technology.
  7. Biotechnology, medical technology, genomics and synthetic biology.
  8. Data storage, data management, distributed ledger technologies and cybersecurity, including biometrics.
  9. Advanced energy and industrial efficiency technologies, such as batteries and advanced nuclear technologies, including but not limited to for the purposes of electric generation.
  10. Advanced materials science, including composite 2D materials, other next-generation materials and related manufacturing technologies.

Societal, national and geostrategic challenge areas

  1. U.S. national security.
  2. U.S. manufacturing and industrial productivity.
  3. U.S. workforce development and skills gaps.
  4. Climate change and environmental sustainability.
  5. Inequitable access to education, opportunity or other services.

NSF seeks feedback on suitability and appropriate staging of specific technology areas for TIP investments as well as on related workforce needs. To learn more and submit feedback for NSF review, respond to the RFI by July 27, 2023.

Join CRA at the ACM Federated Computing Research Conference 2023

The following was originally posted in CRA’s April Edition of the Computing Research News (CRN). 

CRA is planning several activities at the ACM Federated Computing Research Conference (FCRC) 2023 in June in Orlando, FL. FCRC assembles a spectrum of affiliated research conferences and workshops into a week-long, co-located, meeting. CRA will host a plenary panel session in honor of its 50th anniversary, a workshop on Computing Research in Industry, an information session on UR2PhD, a program that focuses on engaging more women in computer science PhD programs, and an academic careers workshop for graduate students and post-docs considering teaching-oriented faculty positions. Details on each of the activities are below:

CRA-I: Workshop on Computing Research in Industry
June 18th, 12:30-5:15pm

Companies are increasingly investing in computer science research to support their strategic goals. This workshop will not only look at what it means to do computing research in an industrial setting, but give examples of important areas (such as Artificial Intelligence) that are currently being prioritized. The key differences of doing research in an industrial setting compared with an academic setting will be discussed and ideas will be shared for how universities might best prepare their students for a career in industrial research.

This workshop is now open to the public; register here. If you are a student interested in attending CRA-I’s workshop, please contact Helen Wright (hwright@cra.org) regarding a complimentary registration. See the full agenda here. 

Plenary Panel: Reflecting on 50 Years of Computing Research, and Future Outlook
June 20th, 4:15-5:15pm

In recognition of CRA’s 50th anniversary last year, CRA Board Member Mary Hall will moderate a plenary panel reflecting on 50 years of computing research, with an eye toward the future.

Panelists confirmed so far are:

  • Hagit Attiya, Technion
  • Jack Dongarra, University of Tennessee at Knoxville, 2021 Turing Award Winner
  • Mary Hall, University of Utah
  • Lizy Kurian John, University of Texas at Austin
  • Guy L. Steele Jr., Oracle Labs

Learn more about the featured panelists here.

UR2PhD Information Session: An undergraduate research to PhD national mentoring program
June 21st, 10-10:30 am

CRA will host a brief information session on UR2PhD (pronounced “you are 2 PhD”) to introduce the program, describe how departments–including graduate students/post-docs, undergraduate students, and faculty–can get involved, and answer questions. UR2PhD is a national, virtual program with the goal of vastly increasing the number of women engaging in CS research–from the undergraduate level to the PhD.  UR2PhD comprises three pillars: (1) early undergraduate research methods training and community, (2) research mentor training for graduate students and post-docs advising undergraduate researchers, and (3) a bridge program to support undergraduate students from their first research experience through their application to a PhD program.

The session will explain opportunities for participation. Information on how departments can apply to become institutional partners is now available. Institutional partners will work closely with the UR2PhD program leadership beginning in the Summer of 2023 to vastly expand the number of research opportunities for women and gender-marginalized undergraduates, including those from marginalized races and ethnicities, at their institutions. The session will also provide information on how individual students can apply to participate.

Learn more about UR2PhD here.

CRA-E: Teaching-Focused Academic Careers Workshop
June 21st, 5:30-9:30pm

Are you a graduate student or postdoc considering an academic career?
CRA-E is organizing a workshop to inform graduate students and postdocs about academic teaching career options.

Options are increasing for PhD recipients who want to pursue a career focused on undergraduate teaching. Most PhD-granting departments have introduced a teaching faculty track, often with academic rank, while many masters-granting and primarily undergraduate institutions are expanding their computer science departments. Teaching-focused faculty often pursue research in their primary technical area with undergraduates or conduct research on computer science education.

This workshop is intended for PhD students and postdocs who want to learn about academic career options with a focus on teaching and gain a better understanding of the landscape of academic positions. Experienced and successful academic leaders as well as junior faculty in different teaching-oriented positions will highlight how to best prepare for the different teaching positions and compare teaching-focused career paths.

Workshop sessions will focus on the responsibilities, benefits, challenges, and opportunities of different teaching-focused career paths, including information on what’s needed to be a competitive candidate. The workshop concludes with a networking reception where potential candidates can meet representatives from institutions with teaching focused positions.

Attending the workshop

To attend, you must register for the workshop as part of your FCRC registration AND complete the CRA-E workshop application. A box meal will be provided to registered participants.

Click here for more information and a tentative agenda.

NSF seeks input to inform the next generation of advanced networking systems

The following is a letter to the community from three National Science Foundation (NSF) Assistant Directors, Margaret Martonosi (Directorate for Computer and Information Science and Engineering), Susan Margulies (Directorate for Engineering), and Erwin Gianchandani (Directorate for Technology, Innovation and Partnerships).

April 18, 2023

Dear Colleagues:

With this Dear Colleague Letter (DCL), the 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. 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. We expect that the 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.

INSTRUCTIONS TO SUBMITTERS / HOW TO RESPOND TO THIS DCL

NSF invites industry, non-profits and government agencies’ interest in partnering with NSF to support basic research in the general areas described in this DCL. Please provide your inputs via the online submission form (link below). The submission form requests the following information (* indicates a required field):

  • *Contact person name and affiliation.
  • *Valid contact email address.
  • Additional author name(s) and affiliation(s)
  • *Summary of response (maximum 200 words).
  • *Disclosure: Do we have your permission to cite your name and organization in any public disclosure of the information collected as part of this DCL? (Y/N)
  • *Type of organization: choices of industry, non-profit, federal agency, other (describe what type in text box for those who selected other)
  • *About your organization (100 words): Research domain(s), and discipline(s)/sub-discipline(s) in which your organization is interested in. Please include any additional relevant information such as your organization’s total research and development budget (e.g., below $1million, between $1 million – $10 million, between $10 million – $50 million, or higher than $50 million), and percentage of this R&D budget that supports development of ideas in communication and networking technologies.
  • Potential partnership areas: Please select the areas in which your organization would be interested in exploring partnership with NSF
    • Technologies and Networking for Connected Medical and Healthcare Systems;
    • Machine Learning for High Performance Next Generation Networks;
    • Future Generation Data Center Networks;
    • Airborne and Satellite Networks;
    • Next Generation Optical Networks;
    • Novel Spectrum Uses;
    • Workforce Development;
    • Advanced Millimeter-Wave and Terahertz Technologies; and/or
    • Write in.
  • Interest/Scope (maximum 400 words): Why is your organization interested in co-investing with NSF and other public/private partners? Please provide your rationale for co-investing and the size and scope of the research program that your organization would wish to participate in (e.g., total budget, size of individual awards, number of public/private partners in a joint program).
  • Additional Resources (maximum 200 words): What resources (besides funds) can you provide to the researchers? These resources could include datasets, access to testbeds, foundry access, software, hardware evaluation boards, etc.
  • Other Considerations (maximum 200 words): Any other relevant aspects that need to be addressed; or any other issues that NSF should consider, such as mechanism for repeatability and measurability of outcomes, and intellectual property concerns.

SUBMISSION DEADLINE AND OTHER CONSIDERATIONS

To respond to this DCL, please use the official form available at https://www.surveymonkey.com/r/NextGDCL

Contributions must be received on or before 5:00 PM Eastern time on May 15, 2023.

NSF will use the information submitted in response to this DCL at its discretion and will not necessarily provide responses to submissions. The information provided will be analyzed, may appear in reports, and may be shared publicly on agency websites. Respondents are advised that NSF is under no obligation to acknowledge receipt of the information or provide feedback to respondents with respect to any information submitted. No proprietary, classified, confidential, or sensitive information should be included in your response. NSF reserves the right to use any non-proprietary technical information in any resultant solicitation(s), policies, or procedures.

For questions concerning this DCL, and submission of input, please contact NextG@nsf.gov.

Sincerely,

Margaret Martonosi
Assistant Director, Directorate for Computer and Information Science and Engineering, NSF

Susan Margulies
Assistant Director, Directorate for Engineering, NSF

Erwin Gianchandani
Assistant Director, Directorate for Technology, Innovation and Partnerships, NSF