Notice2022-15011
Request for Information on Federal Video and Image Analytics Research and Development Action Plan
Primary source
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Published
July 14, 2022
Issuing agencies
National Science Foundation
Abstract
The NITRD NCO and NSF, on behalf of the National Science and Technology Council's (NSTC's) Committee on Science & Technology Enterprise, request input from all interested parties on updating the 2020 Federal Video and Image Analytics (VIA) Research and Development (R&D) Action Plan (VIA R&D Action Plan), Research and Development Opportunities in Video and Image Analytics. Through this RFI, the public can submit suggestions of revisions or improvements for the VIA R&D Action Plan, including comments on the six strategic goals and objectives regarding additions, removals, or modifications, as well as suggestions on implementation of strategic goals and objectives. Public input provided in response to this RFI will assist the VIA Team in updating the VIA R&D Action Plan.
Full Text
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<title>Federal Register, Volume 87 Issue 134 (Thursday, July 14, 2022)</title>
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[Federal Register Volume 87, Number 134 (Thursday, July 14, 2022)]
[Notices]
[Pages 42212-42213]
From the Federal Register Online via the Government Publishing Office [<a href="http://www.gpo.gov">www.gpo.gov</a>]
[FR Doc No: 2022-15011]
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NATIONAL SCIENCE FOUNDATION
Request for Information on Federal Video and Image Analytics
Research and Development Action Plan
AGENCY: The Networking and Information Technology Research and
Development (NITRD) National Coordination Office (NCO), National
Science Foundation (NSF).
ACTION: Request for Information (RFI).
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SUMMARY: The NITRD NCO and NSF, on behalf of the National Science and
Technology Council's (NSTC's) Committee on Science & Technology
Enterprise, request input from all interested parties on updating the
2020 Federal Video and Image Analytics (VIA) Research and Development
(R&D) Action Plan (VIA R&D Action Plan), Research and Development
Opportunities in Video and Image Analytics. Through this RFI, the
public can submit suggestions of revisions or improvements for the VIA
R&D Action Plan, including comments on the six strategic goals and
objectives regarding additions, removals, or modifications, as well as
suggestions on implementation of strategic goals and objectives. Public
input provided in response to this RFI will assist the VIA Team in
updating the VIA R&D Action Plan.
DATES: Interested persons are invited to submit comments on or before
11:59pm (ET) on September 5, 2022.
ADDRESSES: Comments submitted in response to this notice may be sent by
any of the following methods:
<bullet> Email, <a href="/cdn-cgi/l/email-protection#82d4cbc3afd0c4cbc2ecebf6f0e6ace5edf4"><span class="__cf_email__" data-cfemail="4c1a050d611e0a050c2225383e28622b233a">[email protected]</span></a>: Email submissions should be
machine-readable and not be copy-protected; submissions should include
``RFI Response: Federal Video and Image Analytics Research and
Development Action Plan'' in the subject line of the message.
<bullet> Mail, Attn: Jacqueline Altamirano, NCO, 2415 Eisenhower
Avenue, Alexandria, VA 22314, USA.
Instructions: Response to this RFI is voluntary. Each individual or
institution is requested to submit only one response. Submissions must
not exceed 10 pages in 12-point or larger font, with a page number
provided on each page. Responses should include the name of the
person(s) or organization(s) filing the comment.
Please note, responses to this RFI may be posted for public access
online at <a href="https://www.nitrd.gov">https://www.nitrd.gov</a>. Therefore, we request that no business
proprietary information, copyrighted information, personally
identifiable information, or personal signatures be submitted in
response to this RFI.
[[Page 42213]]
In accordance with FAR 15.202(3), responses to this notice are not
offers and cannot be accepted by the Government to form a binding
contract. Responders are solely responsible for all expenses associated
with responding to this RFI.
FOR FURTHER INFORMATION CONTACT: Jacqueline Altamirano at (202) 459-
9677 or <a href="/cdn-cgi/l/email-protection#1b4d525a36495d525b75726f697f357c746d"><span class="__cf_email__" data-cfemail="c4928d85e996828d84aaadb0b6a0eaa3abb2">[email protected]</span></a>, or by post mailing to 2415 Eisenhower Avenue
Alexandria, VA 22314, USA. Individuals who use a telecommunications
device for the deaf (TDD) may call the Federal Information Relay
Service (FIRS) at 1-800-877-8339 between 8 a.m. and 8 p.m. (ET), Monday
through Friday.
SUPPLEMENTARY INFORMATION:
Background: In 2018, thirty Federal organizations came together
under the auspices of the NITRD VIA Team to develop an action plan for
providing direction, coherence, and consensus across federal R&D
efforts.
Since publication of the VIA R&D Action Plan in 2020, government
agencies have invested in computer vision research from foundational
efforts to the development of systems that support agency missions and
programs. As a reference, NITRD supplements to the President's annual
budget requests collect information on government spending in
artificial intelligence (AI), part of which includes computer vision
research, showing close to $800 million in FY 2020, close to $1 billion
in FY 2021, and over $1 billion in requests for FY 2022, as noted in
Artificial Intelligence R&D Investments FYs 2018-2022.
At the same time, private sector funding on R&D of applications for
video and image analysis continues to dwarf government funding in
almost every domain. Examples range from combining computer vision with
robotics for increased automation in agriculture to increasing the use
of biometrics to provide secure access to consumer devices. Government
can take advantage of the results of private sector R&D through an open
marketplace. Still, the need remains for Federal research investment,
given that there is a strong public benefit but little to no
opportunity for building a private sector business case.
Along with the advances in research, development, and technology
implementation over the past several years, there have also been
changes in societal awareness of, expectations for, and the use of
computer vision. For example, at the Federal level, Executive Order
13960, Promoting the Use of Trustworthy Artificial Intelligence in the
Federal Government, reflects the importance of human interaction with
AI technologies, including video and image analytics.
The VIA R&D Action Plan lists the following six strategic goals and
objectives:
<bullet> Invest in foundational research that applies to multiple
domains
<bullet> Develop new, agile, and effective R&D methodologies
<bullet> Improve communication and coordination across government
agencies
<bullet> Improve outreach and knowledge sharing between the public and
private sectors
<bullet> Develop and sustain an effective and diverse technical
workforce and a robust research community
<bullet> Develop and promulgate standards and best practices that
support integration of R&D
Objectives: NITRD NCO seeks input on potential revisions to the VIA
R&D Action Plan to reflect changes in technology and the socio-
technical environment over the past four years. Responders are asked to
answer the following questions in response to the RFI:
1. What R&D has taken place relevant to each goal since the VIA R&D
Action Plan was published in March 2020? How does R&D reduce or change
the need for the Federal Government to continue to pursue each goal?
2. What societal changes have taken place that would impact the
need for the Federal Government to continue to pursue each goal?
3. With R&D advances and changes in the socio-technical
environment, what additional goal(s) should the Federal Government
consider?
References
Federal Video and Image Analytics Research and Development Action
Plan (March 2020): <a href="https://www.nitrd.gov/pubs/RD-Opportunities-in-Video-Image-Analytics-2020.pdf">https://www.nitrd.gov/pubs/RD-Opportunities-in-Video-Image-Analytics-2020.pdf</a>.
NITRD NAIIO Supplement to the President's FY2022 Budget: <a href="https://www.nitrd.gov/pubs/FY2022-NITRD-NAIIO-Supplement.pdf">https://www.nitrd.gov/pubs/FY2022-NITRD-NAIIO-Supplement.pdf</a>.
Executive Order 13960, Promoting the Use of Trustworthy Artificial
Intelligence in the Federal Government (December 2020): <a href="https://www.federalregister.gov/d/2020-27065">https://www.federalregister.gov/d/2020-27065</a>.
Submitted by the National Science Foundation in support of the
NITRD NCO on July 8, 2022.
Suzanne H. Plimpton,
Reports Clearance Officer, National Science Foundation.
[FR Doc. 2022-15011 Filed 7-13-22; 8:45 am]
BILLING CODE 7555-01-P
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