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A Message from CISE Leadership
Dear CISE community,
I would like to start this newsletter with a few important announcements from our Directorate. First, CISE will be hosting a virtual CISE CAREER Proposal Writing workshop on April 17, 2023. The workshop provides guidance and support to early-career faculty members who are planning to apply to the NSF Faculty Early Career Development (CAREER) Program. Please encourage anyone who is considering submitting to the CAREER program to attend the event and the subsequent one-on-one sessions with CISE program directors on April 18-21 for more personalized information and guidance.
Second, CISE will be holding its Spring Advisory Committee (AC) Meeting on June 8 and 9, 2023. The biannual meetings provide a forum to hear from our AC members on CISE-related topics and activities and the impact of our programs that are critical in developing strategies that address the research needs of the CISE community. The meeting agenda will be available as we get closer to the event.
On a slightly different note, in observance of the upcoming National Robotics Week (April 8-16, 2023), I want to remind researchers interested in foundational advances in robotics that proposals to the Foundational Research in Robotics Program (FRR) are accepted anytime. FRR is NSF’s flagship robotics program, jointly led by the CISE and Engineering Directorates, and is home to a broad spectrum of visionary topics, including collaborative robotics and integration in robotics, which were previously supported by the National Robotics Initiative (sunsetted). We look forward to receiving your proposals.
I hope you enjoy this month’s newsletter and please continue to share it with your networks.
Respectfully,
Margaret Martonosi
NSF Assistant Director for CISE
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Funding Opportunities and Deadlines |
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 Future of Semiconductors (FuSe).
Supports codesign of computing, engineering, and materials systems, as well as workforce development to advance semiconductor design and manufacturing.
Full Proposal Deadline:
April 24, 2023.
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 Safe Learning-Enabled Systems. Supports foundational research that leads to the design and implementation of learning-enabled systems in which safety is ensured with high levels of confidence.
Full Proposal Deadline:
May 26, 2023.
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News & Announcements
Provides the community a direct opportunity to offer input on potential topic ideas, grand research challenges, and unexplored opportunities for the SaTC and future programs.
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These FAQs provide the scientific community interested in the ExpandAI program useful information on eligibility, proposal submission, and proposal review process.
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With support from NSF, researchers at the University of Southern California have developed a new artificial intelligence model that analyzes MRI brain scans to capture cognitive decline more accurately.
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NSF-supported researchers at the University of California San Diego have created an atomic-level computer model of the H1N1 virus that reveals new vulnerabilities through glycoprotein "breathing" and "tilting" movements.
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Get more NSF News
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Events
2023 Departmental BPC Plan Workshop:
May 30 to June 1, 2023. New application deadline: April 16, 2023. Based on capacity, BPC.net will continue to accept applications after the original March 19 deadline.
Part II: Mid-scale Project Development, Definition and Risk. March 28, 2023.
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Career Opportunities
Interdisciplinary Program Director within the Computing and Communication Foundations (CCF) Division
Open until filled.
Large Facilities Resource Advisor (Program Director)
Special Announcement
If you would like to receive FRR updates, please send an e-mail to listserv@listserv.nsf.gov and follow the instructions below:
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The subject line should be left blank.
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The body of the message should read: “Subscribe Robotics [your full name].” The message is case sensitive, so capitalize as indicated. Do not include the brackets, just your name. For example: “Subscribe Robotics Robin Smith.”
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After sending this e-mail, you receive an e-mail asking you to confirm your subscription by replying “ok”. After replying “ok” you will be added to the subscription list. For more information, you can e-mail ckomst@nsf.gov .
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Olga Russakovsky, Ph.D., is an assistant professor of computer science at Princeton University, where she is also affiliated with the Center for Statistics and Machine Learning and the Center for Information Technology Policy. She completed her Ph.D. in computer science at Stanford University, and her postdoctoral fellowship at the Robotics Institute at Carnegie Mellon University. Her research focuses on computer vision, machine learning, human-computer interaction and fairness, accountability, and transparency.
“I am very excited to be able to pursue an interdisciplinary AI research agenda,” Russakovsky said. “This would never be possible without support from the NSF, which recognizes and embraces this out-of-the-box approach. Thanks to NSF’s generous funding and cloud computing, my lab is able to work not just on improving model accuracy but also on addressing critical questions of fairness, transparency, evaluation, data curation, and other human-centric aspects of AI design.”
One of Russakovsky’s most notable contributions to date is leading the ImageNet Large Scale Visual Recognition Challenge. This research appeared in the International Journal of Computer Vision in December 2015 and amassed more than 36,000 citations as of March 2023. Her team was awarded the prestigious PAMI Everingham Prize, and the work was featured in the New York Times and MIT Technology Review.
She has spearheaded several diversity and outreach initiatives including the AI4ALL nonprofit dedicated to educating AI leaders.
Russakovsky has received numerous honors including the PAMI Young Researcher Award in 2022, the CRA-WP Anita Borg Early Career Award in 2020, AnitaB.org’s Emerging Leader Abie Award in Honor of Denice Denton in 2020, MIT EECS Rising Star award in 2013, among others. She was named Becominghuman.ai’s 100 Brilliant Women in AI Ethics in 2019, one of MIT Technology Review’s 35 Innovators Under 35 in 2017, and Foreign Policy Magazine’s 100 Leading Global Thinkers in 2015.
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Division of Information and Intelligent Systems (IIS)
Supports research and education on the interrelated roles of people, computers, and information to advance knowledge of artificial intelligence, data management, assistive technologies, and human-centered computing.
Office of Advanced Cyberinfrastructure (OAC)
Supports the conceptualization, design, implementation, and operation of research cyberinfrastructure to advance and transform research and education in science and engineering.
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