National Artificial Intelligence Research Resource Task Force; Notice of Meeting, 41997 [2021-16566]
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Federal Register / Vol. 86, No. 147 / Wednesday, August 4, 2021 / Notices
REUs provide undergraduate students
at U.S. higher education institutions to
work with a faculty on a research
project. They can take the form of REU
Sites or REU Supplements. REU Sites
are based on independent proposals to
initiate and conduct projects that engage
a number of students in research, and
REU Supplements are included as a
component of proposals for new or
renewal NSF grants or cooperative
agreements or may be requested for
ongoing NSF-funded research projects.
By offering this opportunity to
undergraduate students the REU
program seeks to expand student
participation in all kinds of research—
both disciplinary and
interdisciplinary—encompassing efforts
by individual investigators, groups,
centers, national facilities, and others. It
draws on the integration of research and
education to attract a diverse pool of
talented students into careers in science
and engineering, including teaching and
education research related to science
and engineering, and to help ensure that
these students receive the best
education possible.
The data collection intends to assess
the impact of REU participation on
career pathways and will be done
through an online survey. The
researchers will collect data from past
participants including the students and
the mentors with a separate survey
customized for each group. The specific
evaluation objectives are:
1. Identify the career trajectory of the
REU participants since their
participation in the REU program
including degrees they received,
institutions they attended, and their
current status (e.g., employed, graduate
students).
2. Document the structure of the REU
experience that the respondents
participated in. These may include the
type of REU (e.g., Site, Supplement),
location of REU, and timing of REU.
3. Describe the REU mentors’
perceptions of the REU program on the
student participants and the mentors’
career development.
4. Examine the skills the participants
gained and experiences they had during
their REU participation. These may
include technical skills, information on
graduate school application process,
and research training.
5. Analyze the relationships between
REU participation and career pathways
specifically focusing on whether these
experiences are associated with the
participants’ interest in and ultimate
selection of research careers in
computing.
Ultimately, the findings from the
analysis of this data collection will be
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used to improve the impact of CISE REU
Program in order to better reach its goals
of providing meaningful research
opportunities to undergraduate students
and, in doing so, attracting a broad
range of students to computing/STEM
careers.
Use of information: The information
collected through this survey will be
used to evaluate the NSF CISE REU
Program.
Expected Respondents: The survey
will be sent to students and mentors
who participated in the NSF CISE REU
Program through an REU Site or a
Supplement. Further, in order to obtain
data from an appropriate comparison
group, the researchers will also include
participants of other REUs and similar
activities. The CISE REU Program
participant list will be obtained from
NSF and comparison group participants
will be culled from a list of individuals
previously surveyed by the researchers.
The estimated number of individuals
who will be receiving this survey is
25,000. Based on an approximate
response rate of 30%, there will be an
estimated 7,500 respondents when the
data collection is completed.
Average time per respondent: The
online survey is designed to be
completed in 20 minutes or less.
Frequency: Each respondent will be
asked to complete this survey once
during late summer/early fall 2021.
Estimated burden on public: Based on
7,500 estimated responses and 20
minutes per respondent, the estimate for
this data collection is 2,500 burden
hours.
Comments: Comments are invited on:
(a) Whether the proposed collection of
information is necessary for the proper
performance of the functions of the
Agency, including whether the
information shall have practical utility;
(b) the accuracy of the Agency’s
estimate of the burden of the proposed
collection of information; (c) ways to
enhance the quality, utility, and clarity
of the information on respondents,
including through the use of automated
collection techniques or other forms of
information technology; and (d) ways to
minimize the burden of the collection of
information on respondents, including
through the use of automated collection
techniques or other forms of information
technology.
Dated: July 30, 2021.
Suzanne H. Plimpton,
Reports Clearance Officer, National Science
Foundation.
[FR Doc. 2021–16638 Filed 8–3–21; 8:45 am]
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41997
NATIONAL SCIENCE FOUNDATION
National Artificial Intelligence
Research Resource Task Force; Notice
of Meeting
In accordance with the Federal Advisory
Committee Act (Pub. L. 92–463, as amended),
the National Science Foundation (NSF)
announces the following meeting:
Name and Committee Code: National
Artificial Intelligence Research Resource
Task Force (84629) (Virtual).
Date and Time: August 30, 2021,
11:00 a.m. to 5:00 p.m. EDT.
Place: NSF, 2415 Eisenhower Avenue,
Alexandria, VA 22314; Virtual meeting.
To attend the virtual meeting, please
send your request for the virtual
meeting link to the following email:
cmessam@nsf.gov.
Type of Meeting: Open.
Contact Person: Brenda Williams,
National Science Foundation, 2415
Eisenhower Avenue, Alexandria, VA
22314; Telephone: 703–292–8900;
email: bwilliam@nsf.gov.
Purpose Of Meeting: The Task Force
shall investigate the feasibility and
advisability of establishing and
sustaining a National Artificial
Intelligence Research Resource; and
propose a roadmap detailing how such
resource should be established and
sustained.
Agenda: In this meeting, the Task
Force will discuss (i) the goals,
anticipated outcomes, and evaluation
metrics of the National Artificial
Intelligence Research Resource; (ii)
ownership, administration, and
governance models; and (iii) the range
of computer capabilities that will form
a key element of the resource.
Dated: July 30, 2021.
Crystal Robinson,
Committee Management Officer.
[FR Doc. 2021–16566 Filed 8–3–21; 8:45 am]
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Pursuant to delegation by the
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[Federal Register Volume 86, Number 147 (Wednesday, August 4, 2021)]
[Notices]
[Page 41997]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2021-16566]
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NATIONAL SCIENCE FOUNDATION
National Artificial Intelligence Research Resource Task Force;
Notice of Meeting
In accordance with the Federal Advisory Committee Act (Pub. L.
92-463, as amended), the National Science Foundation (NSF) announces
the following meeting:
Name and Committee Code: National Artificial Intelligence Research
Resource Task Force (84629) (Virtual).
Date and Time: August 30, 2021, 11:00 a.m. to 5:00 p.m. EDT.
Place: NSF, 2415 Eisenhower Avenue, Alexandria, VA 22314; Virtual
meeting.
To attend the virtual meeting, please send your request for the
virtual meeting link to the following email: [email protected].
Type of Meeting: Open.
Contact Person: Brenda Williams, National Science Foundation, 2415
Eisenhower Avenue, Alexandria, VA 22314; Telephone: 703-292-8900;
email: [email protected].
Purpose Of Meeting: The Task Force shall investigate the
feasibility and advisability of establishing and sustaining a National
Artificial Intelligence Research Resource; and propose a roadmap
detailing how such resource should be established and sustained.
Agenda: In this meeting, the Task Force will discuss (i) the goals,
anticipated outcomes, and evaluation metrics of the National Artificial
Intelligence Research Resource; (ii) ownership, administration, and
governance models; and (iii) the range of computer capabilities that
will form a key element of the resource.
Dated: July 30, 2021.
Crystal Robinson,
Committee Management Officer.
[FR Doc. 2021-16566 Filed 8-3-21; 8:45 am]
BILLING CODE 7555-01-P
