Federal Register / Vol. 88, No. 197 / Friday, October 13, 2023 / Notices 71033 

1https://www.bls.gov/oes/current/oes251021.htm. 

The following table shows the estimated 

burden and costs to respondents, who 

are PIs or coPIs of NSF proposals to the 

BIO and GEO directorates. This 

estimated hourly rate is based on a 

report from the Bureau of Labor 

Statistics’ Occupational Employment 

and Wages, May 2022.1 According to 

this report, the mean hourly rate is 

$46.38 for biological scientists (code 

191020), and $42.96 for geoscientists 

(code 192040). We used $46 as the 

amount to calculate burden. Estimated 

numbers are based on FY22 # of 

submissions to each of the participating 

solicitations and then estimating the % 

with field work for each solicitation, 

using advice from Program Officers 

familiar with each program. 

Directorate Solicitation 

Number of 

submitters 

in FY22 

% with 

fieldwork 

∼# PIs with 

fieldwork 

Burden 

hours per 

respondent 

Total 

hour 

burden 

Estimated 

annual 

cost 

BIO ............................................................. 23–580 147 7 10 .5 5.2 237 

BIO ............................................................. 23–578 84 7 6 .5 2.9 135 

BIO ............................................................. 23–547 444 40 178 .5 88.8 4,085 

BIO ............................................................. 23–559 98 50 49 .5 24.5 1,127 

BIO ............................................................. 23–548 394 5 197 .5 98.5 4,531 

BIO ............................................................. 23–542 109 100 109 .5 54.5 2,507 

BIO ............................................................. 23–549 318 75 239 .5 119.3 5,486 

GEO ........................................................... 23–572 211 67 141 .5 70.7 3,252 

GEO ........................................................... 23–540 14 75 11 .5 5.3 242 

GEO ........................................................... 23–539 16 30 5 .5 2.4 110 

Estimated Number of Responses 

(given ∼85% response rate) for PI 

Survey: We will survey approximately 

800 individuals, given the information 

in the table above, which includes the 

estimated number of submissions to 

each of the solicitations in the SAIF 

Pilot, and the % of those proposals with 

fieldwork. 

Estimated Number of PI Interviews: 

We will interview approximately 70 

individuals, with sampling aross all of 

the solicitations participating in the 

SAIF Pilot. 

Dated: October 10, 2023. 

Suzanne H. Plimpton, 

Reports Clearance Officer, National Science 

Foundation. 

Citations 

Clancy, K.B., H., R.G. Nelson, J.N. 

Rutherford, and K. Hinde. 2014. Survey 

of academic field experiences (SAFE): 

Trainees report harassment and assault. 

PLoS ONE 9:e102172. 

Demery, A.C., and M.A. Pipkin. 2021. Safe 

fieldwork strategies for at-risk 

individuals, their supervisors and 

institutions. Nature Ecology and 

Evolution 5:5–9. 

Giles, S., C. Jackson, and N. Stephen. 2020. 

Barriers to fieldwork in undergraduate 

geology degrees. Nature Reviews Earth & 

Environment 1:77–78. https://doi.org/ 

10.1038/s43017-020-0022-5. 

John, C.M., and S.B. Khan. 2018. Mental 

health in the field. Nature Geoscience 

11:618–620. 

Marin-Spiotta, E., R.T. Barnes, A.A. Berhe, 

M.G. Hastings, A. Mattheis, B. 

Schneider, and B.M. Williams. 2020. 

Hostile climates are barriers to 

diversifying the geosciences. Advances 

in Geosciences 53:117–127. https://

doi.org/10.5194/adgeo-53-117-2020. 

National Academies of Sciences, 

Engineering, and Medicine. 2018. Sexual 

harassment of women: Climate, culture, 

and consequences in academic sciences, 

engineering, and medicine. The National 

Academies Press. https://doi.org/ 

10.17226/24994. 

National Academies of Sciences, 

Engineering, and Medicine. 2019. The 

science of effective mentorship in 

STEMM. The National Academies Press. 

https://doi.org/10.17226/25568. 

Nelson, R.G., et al. 2017. Signaling safety: 

Characterizing fieldwork experiences 

and their implications for career 

trajectories. American Anthropologist 

119:710–722. 

O’Brien, L.T., H.L. Bart, and D.M. Garcia. 

2020. Why are there so few ethnic 

minorities in ecology and evolutionary 

biology? Challenges to inclusion and the 

role of sense of belonging. Social 

Psychology of Education 23:449–477. 

Ramirez-Castaneda, V., E.P. Westeen, J. 

Frederick, et al. (+30) 2022. A set of 

principles and practical suggestions for 

equitable fieldwork in biology. 

Proceedings of the National Academy of 

Sciences 119e:2122667119. https://

doi.org/10.1073/pnas.2122667119. 

Yarincik, K., A. Kelly, T. McGlynn, R.M. 

Verble. 2023. Best practices to promote 

field science safety. Integrative and 

Comparative Biology 63:145–161. 

[FR Doc. 2023–22679 Filed 10–12–23; 8:45 am] 

BILLING CODE 7555–01–P 

NATIONAL SCIENCE FOUNDATION 

Notice of Intent To Seek Approval To 

Establish an Information Collection 

AGENCY: Directorate for Technology, 

Innovation, and Partnerships, National 

Science Foundation. 

ACTION: Notice and request for 

comments. 

SUMMARY: Under the Paperwork 

Reduction Act of 1995, and as part of its 

continuing effort to reduce paperwork 

and respondent burden, the Directorate 

for Technology, Innovation, and 

Partnerships (TIP), National Science 

Foundation (NSF) is inviting the general 

public or other Federal agencies to 

comment on this proposed information 

collection. 

DATES: Written comments on this notice 

must be received by December 12, 2023, 

to be assured consideration. Comments 

received after that date will be 

considered to the extent practicable. 

Send comments to the address below. 

FOR FURTHER INFORMATION CONTACT: 

Suzanne H. Plimpton, Reports Clearance 

Officer, National Science Foundation, 

2415 Eisenhower Avenue, Suite E7400, 

Alexandria, Virginia 22314; telephone 

(703) 292–7556; or send email to 

splimpto@nsf.gov. Individuals who use 

a telecommunications device for the 

deaf (TDD) may call the Federal 

Information Relay Service (FIRS) at 1– 

800–877–8339, which is accessible 24 

hours a day, 7 days a week, 365 days a 

year (including federal holidays). 

Comments: Comments are invited on: 

(a) whether the proposed collection of 

information is necessary for the proper 

performance of the functions of the 

Foundation, including whether the 

information will have practical utility; 

(b) the accuracy of the Foundation’s 

estimate of the burden of the proposed 

collection of information; (c) ways to 

enhance the quality, utility, and clarity 

of the information to be collected; and 

(d) ways to minimize the burden of the 

collection of information on those who 

are to respond, including through the 


lotter on DSK11XQN23PROD with NOTICES1
71034 Federal Register / Vol. 88, No. 197 / Friday, October 13, 2023 / Notices 

use of automated collection techniques 

or other forms of information 

technology. 

SUPPLEMENTARY INFORMATION: 

Title of Collection: Generic Clearance 

for the Regional Innovation Engines 

Evaluation and Monitoring Plan. 

OMB Number: 3145–NEW. 

Expiration Date of Approval: Not 

applicable. 

Type of Request: New information 

collection. 

Description: The instruments will 

collect data on (1) individuals in 

leadership or governance roles in 

funded NSF Regional Innovation Engine 

(NSF Engine), and individuals engaged 

or participating in the NSF Engine’s 

activities; (2) organizations that are 

partnering with the NSF Engine or 

participating in NSF Engine activities; 

and (3) information on the 

programmatic activities, outputs, 

impact, and/or outcomes of the Engine 

(i.e., use-inspired research, development 

and translation, impact on the economy, 

new jobs created, new industries 

launched, and others). 

Background: The CHIPS and Science 

Act of 2022 codified the National 

Science Foundation’s cross-cutting 

Directorate for Technology, Innovation 

and Partnerships (TIP), NSF’s first new 

directorate in more than 30 years, and 

charged it with the critical mission of 

advancing U.S. competitiveness through 

investments that accelerate the 

development of key technologies and 

address pressing national, societal and 

geostrategic challenges. NSF’s TIP 

directorate deepens the Agency’s 

commitment to support use-inspired 

research and the translation of research 

results to the market and society. In 

doing so, TIP strengthens the intense 

interplay between foundational and useinspired work, enhancing the full cycle 

of discovery and innovation. 

TIP integrates with NSF’s existing 

directorates and fosters partnerships— 

with government, industry, nonprofits, 

civil society, and communities of 

practice—to leverage, energize and 

rapidly bring to society use-inspired 

research and innovation. TIP spurs useinspired research and innovation to 

meet the nation’s priorities by 

accelerating the development of 

breakthrough technologies and 

advancing solutions. 

The NSF Regional Innovation Engines 

(NSF Engines) program serves as a 

flagship funding program of the TIP 

directorate, with the goal of expanding 

and accelerating scientific and 

technological innovation within the 

U.S. by catalyzing regional innovation 

ecosystems throughout every region of 

our nation. The NSF Engines program 

was authorized in the CHIPS and 

Science Act of 2022 (Section 10388) to 

(1) advance multidisciplinary, 

collaborative, use-inspired and 

translational research, technology 

development, in key technology focus 

areas; 

(2) address regional, national, societal, 

or geostrategic challenges; 

(3) leverage the expertise of multidisciplinary and multi-sector partners, 

including partners from private 

industry, nonprofit organizations, and 

civil society organizations; and 

(4) support the development of 

scientific, innovation, entrepreneurial, 

and STEM educational capacity within 

the region of the Regional Innovation 

Engine to grow and sustain regional 

innovation. 

The NSF Engines program aims to 

fund regional coalitions of partnering 

organizations to establish NSF Engines 

that will catalyze technology and 

science-based regional innovation 

ecosystems. Each NSF Engine is focused 

on addressing specific aspects of a major 

national, societal and/or geostrategic 

challenge that are of significant interest 

in the NSF Engine’s defined ‘‘region of 

service.’’ The NSF Engines program 

envisions a future in which all sectors 

of the American population can 

participate in and benefit from 

advancements in scientific research and 

development equitably to advance U.S. 

global competitiveness and leadership. 

The program’s mission is to establish 

sustainable regional innovation 

ecosystems that address pressing 

regional, national, societal, or 

geostrategic challenges by advancing 

use-inspired and translational research 

and development in key technology 

focus areas. The programmatic level 

goals of NSF Engines are to: 

• Goal 1: Stimulate innovation in 

regions with low levels of innovation; 

• Goal 2: Build and train an inclusive 

workforce; 

• Goal 3: Advance key technologies; 

• Goal 4: Create a culture that promotes 

inclusive and equitable prosperity; 

• Goal 5: Cultivate new, sustainable, 

trusting cross-sector partnerships; 

• Goal 6: Create a sustainable 

innovation ecosystem; 

• Goal 7: Increase economic growth; 

• Goal 8: Increase job creation. 

To achieve these goals, each NSF 

Engine will carry out an integrated and 

comprehensive set of activities spanning 

use-inspired research, translation-topractice, entrepreneurship, and 

workforce development to nurture and 

accelerate regional industries. In 

addition, each NSF Engine is expected 

to embody a culture of innovation and 

have a demonstrated, intense, and 

meaningful focus on improving 

diversity throughout its regional science 

and technology ecosystem. NSF Engines 

are awarded as cooperative agreements 

and are expected to undergo an annual 

comprehensive evaluation assessment of 

the NSF Engine’s performance, which 

will inform subsequent year funding. 

The total funding for each NSF Engine 

is up to $160 million over 10 years with 

the first-ever group of NSF Engines 

expected to be announced in late 2023. 

Effective monitoring, assessment, and 

evaluation of NSF Engines will be 

critical for making programmatic 

funding decisions and increasing the 

understanding of how regional 

innovation ecosystems are created. 

Systematic data and information 

collection will be qualitative, 

quantitative, and descriptive in nature 

and will provide a means for managing 

Program Directors to monitor progress 

throughout a given NSF Engine the 

award and ensure that the award is in 

good standing. These data will also 

allow NSF to assess the NSF Engines 

Program in terms of intellectual, 

technological, societal, commercial, and 

economic impacts that are core to the 

NSF merit review criteria. Finally, in 

compliance with the Evidence Act of 

2019, information collected will be used 

for both internal and external program 

evaluation and assessment, satisfying 

Congressional requests, and supporting 

the Agency’s policymaking and 

reporting needs. 

Methodology: This information 

collection, which entails collecting 

information from NSF Engines grantees 

and participants through a series of 

surveys, interviews, focus groups, and 

case studies, is in accordance with the 

Agency’s commitment to improving 

service delivery as well as the Agency’s 

strategic goal to ‘‘advance the capability 

of the Nation to meet current and future 

challenges.’’ 

For this effort, four categories of 

survey instruments have been 

developed, each of which will include 

closed-ended and open-ended questions 

to generate quantitative and qualitative 

data. For ease of use for our respondent 

pool, survey questionnaires will be 

programmed into interactive web 

surveys and distributed to eligible 

respondents by email. 

The surveys, which will serve as a 

census for all applicable NSF Engines 

grantees, partner organizations, and 

participants, will be used to collect 

baseline measures at the start of the 

program and vital information on how 

grantees, partner organizations, and 

participants progress through the 


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Federal Register / Vol. 88, No. 197 / Friday, October 13, 2023 / Notices 71035 

program. All data collected through web 

surveys will be made available to the 

external evaluator(s) for each NSF 

Engine to be used for their own 

analyses, assessments, and evaluation. 

The four categories of data that will be 

collected for each NSF Engine through 

web-based surveys are outlined below: 

• Input data for a given NSF Engine 

Æ The Chief Executive Officer, or 

designated personnel, will be asked to 

provide basic information on each NSF 

Engine participant (e.g., name of 

individual, email address of individual, 

which NSF Engine activity the 

individual is involved in), each partner 

organization (e.g., name and address of 

partner organization, point of contact for 

organization’s involvement with NSF 

Engines, email address for 

organization’s point of contact), and 

each programmatic activity (e.g., title of 

activity, activity lead name and email 

address, short description of the 

activity). Automated web-based surveys 

will be sent to the email addresses 

collected from this input. Data will be 

collected on a rolling basis as NSF 

Engine activities may start at any time 

during the award. 

• Individual level data 

Æ Demographic and personal data 

(e.g., age, gender, race, educational 

attainment, socioeconomic status, job 

status) will be collected for all 

participants in a given NSF Engine, 

including the Chief Executive Officer; 

members of the leadership team, 

governance board, and advisory 

committees, as applicable; researchers; 

and workforce development 

participants. Data collected from 

individuals will be used to monitor and 

assess whether the NSF Engine’s 

participants reflect the demographic 

diversity of the region of service defined 

by the NSF Engine. In addition, these 

data can be used by individual NSF 

Engines to assess whether they are 

meeting their diversity, equity, 

inclusion, and accessibility (DEIA) 

objectives and targets. Surveys for 

individuals will be conducted once a 

year. 

• Partner organization level data 

Æ Partner organizations that are 

involved in any NSF Engines activities 

or provide any monetary, in-kind, or 

other contributions will be surveyed 

twice a year and asked to provide basic 

information about its organization (e.g., 

employer identification number, legal 

name of organization, type of 

organization); in which NSF Engine 

activities the organization participated; 

the monetary or estimated value of inkind and other resources they 

contributed to the NSF Engine; with 

which other partner organizations 

within the NSF Engine they 

collaborated; why they are a partner of 

the NSF Engine; and other information 

related to the roles and responsibilities 

an organization has within NSF Engine. 

Individual Engines may use the data for 

internal assessments and to help inform 

decision making. Data collected from 

this effort will be used to monitor and 

assess the level of cross-sector 

partnerships created within and across 

NSF Engines. 

• Programmatic-level data 

Æ NSF Engines activities fall into one 

of four programmatic categories: (1) useinspired and translational research, (2) 

workforce development, (3) diversity, 

equity, inclusion, and accessibility 

(DEIA), and (4) ecosystem building (e.g., 

stakeholder engagement, strategic 

planning, building of infrastructure, 

partner outreach). The lead of each 

activity will be asked to provide 

information about the activity twice a 

year. Different survey questionnaires 

will be used for each of the four 

programmatic categories. Basic 

information to be collected for all 

activities include activity status (i.e., 

active, completed, on hold, or 

cancelled); identification of milestones; 

and milestone status (i.e., on track, at 

risk, or off track). Information specific to 

each programmatic category will also be 

collected. For instance, the survey 

questionnaire on use-inspired and 

translational research activities will also 

collect information on intellectual 

property (e.g., invention disclosures, 

patents granted, licensing agreements, 

royalties earned) as well as where along 

is the research spectrum of an activity 

(e.g., technology and adoption readiness 

levels). For the workforce development 

survey questionnaire, information will 

also be collected on the targeted 

population(s) of the workforce 

development activity. Individual NSF 

Engines may use the data for internal 

assessments and to help inform decision 

making. Data collected from this effort 

will also be used to monitor and assess 

the progress made in use-inspired and 

translational research, workforce 

development, DEIA, and ecosystem 

building within and across NSF 

Engines. 

In addition to the web-based surveys, 

follow-up interviews and focus groups 

will be conducted with project team 

leaders, such as Principal Investigators 

(PIs), Principal Directors (PDs), Chief 

Executive Officers (CEO), and members 

of the governance boards, as well as 

NSF Engines stakeholders, such NSF 

Engines participants, and partner and 

community-based organizations. Case 

studies and focus group interviews will 

be used to collect qualitatively rich 

discursive and observational 

information that cannot be collected 

within web surveys. Both interviews 

(focus groups and/or follow-up) and 

case studies will be conducted virtually 

with the possibility of in-person 

interviews and non-participant 

observation to be held in the future. 

NSF’s TIP directorate will only 

submit a collection for approval under 

this clearance if it meets the following 

conditions: 

Æ The collection has a reasonably low 

burden for respondents (based on 

considerations of total burden hours, 

total number of respondents, or burdenhours per respondent) and is low-cost 

for the Federal government; 

Æ The collection is non-controversial 

and does not raise issues of concern for 

other Federal agencies; and 

Æ Information gathered will be used 

for the dual and interrelated purposes of 

disseminating information about the 

NSF Engines program and using this 

information to conduct enhanced 

program monitoring for NSF Engines, 

identify and implement efficiencies, and 

make programmatic improvements. 

Feedback collected under this 

clearance provides useful information 

for the continued evolution of the NSF 

Engines program, but it may not yield 

data that can be generalized to the 

overall population in all instances. Our 

qualitative data collection campaigns— 

follow-up interviews, focus groups, and 

case studies—are designed to provide 

contextual understanding of the 

progress made by each NSF Engine, and 

to identify NSF Engines or projects that 

demonstrate exceptional performance in 

efforts to build an inclusive, sustainable 

innovation ecosystem. All data 

collection campaigns (e.g., web-based 

surveys, interviews, focus groups), 

collectively, will help TIP monitor the 

progress of individual NSF Engines, 

identify trends over time, and assess 

overall program performance. 

Affected Public: Please refer to the 

detailed descriptions of each 

programmatic category for the targeted 

groups. 

Average Expected Annual Number of 

Activities: For each Engine award, we 

anticipate the following lower and 

upper bounds for the numbers of 

responses and response burdens by 

collection method: 


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71036 Federal Register / Vol. 88, No. 197 / Friday, October 13, 2023 / Notices 

Collection method Programmatic 

category 

Estimated 

lower bound 

(number of 

responses) 

Estimated 

upper bound 

(number of 

responses) 

Estimated 

average 

response time 

(min) 

Frequency of 

data collection 

Approximate 

lower bound 

response 

burden 

(hours) 

Approximate 

upper bound 

response 

burden 

(hours) 

Web-based surveys NSF Engine input ... 45 ............................. 350 ........................... 5 Rolling basis ........... 4 29 

Individuals .............. 20 ............................. 200 ........................... 10 Once a year ........... 3 33 

Partner organizations.10 ............................. 100 ........................... 30 Twice a year .......... 10 100 

Programmatic activities.15 ............................. 50 ............................. 45 Twice a year .......... 23 75 

Interviews and focus 

groups.

NSF Engine wide ... 15 individuals ........... 50 individuals ........... 90 Up to twice a year .. 45 150 

Respondents: Lower bound estimate 

of 60 individuals and upper bound 

estimate of 400 individuals per NSF 

Engine award per year. 

Annual Responses: Lower and upper 

bound estimates of 100 and 600 

responses per NSF Engine per year, 

respectively. The total number of annual 

responses will be based on the total 

number of NSF Engines awarded, which 

is determined by annual funding 

availability. 

Frequency of Response: Please refer to 

the description of programmatic 

categories for frequency of data 

collection. 

Average Minutes per Response: 30. 

Burden Hours: Lower and upper 

bound estimates of approximately 85 

and 400 hours per NSF Engine award, 

respectively. 

Dated: October 6, 2023. 

Suzanne H. Plimpton, 

Reports Clearance Officer, National Science 

Foundation. 

[FR Doc. 2023–22598 Filed 10–12–23; 8:45 am] 

BILLING CODE 7555–01–P 

NUCLEAR REGULATORY 

COMMISSION 

710th Meeting of the Advisory 

Committee on Reactor Safeguards 

(ACRS) 

In accordance with the purposes of 

Sections 29 and 182b of the Atomic 

Energy Act (42 U.S.C. 2039, 2232(b)), 

the Advisory Committee on Reactor 

Safeguards (ACRS) will hold meetings 

on November 1–3, 2023. The Committee 

will be conducting meetings that will 

include some Members being physically 

present at the NRC while other Members 

participate remotely. Interested 

members of the public are encouraged to 

participate remotely in any open 

sessions via MS Teams or via phone at 

301–576–2978, passcode 861933379#. A 

more detailed agenda including the 

MSTeams link may be found at the 

ACRS public website at https://

www.nrc.gov/reading-rm/doccollections/acrs/agenda/index.html. If 

you would like the MSTeams link 

forwarded to you, please contact the 

Designated Federal Officer as follows: 

Quynh.Nguyen@nrc.gov, or 

Lawrence.Burkhart@nrc.gov. 

Wednesday, November 1, 2023 

8:30 a.m.–8:35 a.m.: Opening 

Remarks by the ACRS Chairman 

(Open)—The ACRS Chairman will make 

opening remarks regarding the conduct 

of the meeting. 

8:35 a.m.–10:30 a.m.: Level 3 

Probabilistic Risk Assessment (Open)— 

The Committee will have presentations 

and discussion with the NRC staff 

regarding the subject topic. 

10:30 a.m.–1 p.m.: Level 3 

Probabilistic Risk Assessment 

Committee Deliberation (Open)—The 

Committee will have deliberations with 

the NRC staff regarding the subject 

topic. 

1 p.m.–6 p.m.: Planning and 

Procedures Session/Future ACRS 

Activities/Reconciliation of ACRS 

Comments and Recommendations/ 

Preparation of Reports (Open/Closed)— 

The Committee will hear discussion of 

the recommendations of the Planning 

and Procedures Subcommittee regarding 

items proposed for consideration by the 

Full Committee during future ACRS 

meetings, and/or proceed to preparation 

of reports as determined by the 

Chairman. [Note: Pursuant to 5 U.S.C. 

552b(c)(2), a portion of this session may 

be closed to discuss organizational and 

personnel matters that relate solely to 

internal personnel rules and practices of 

the ACRS.] [Note: Pursuant to 5 U.S.C. 

552b(c)(4), a portion of this session may 

be closed to discuss and protect 

information designated as proprietary.] 

Thursday, November 2, 2023 

8:30 a.m.–10:30 a.m.: Increased 

Enrichment Rulemaking Regulatory 

Basis (Open)—The Committee will have 

presentations and discussion with the 

NRC staff regarding the subject topic. 

10:30 a.m.–1 p.m.: Increased 

Enrichment Rulemaking Regulatory 

Basis Committee Deliberation (Open)— 

The Committee will have deliberations 

with the NRC staff regarding the subject 

topic. 

1 p.m.–6 p.m.: Committee 

Deliberation/Preparation of Reports 

(Open)—The Committee will deliberate 

and continue its discussion of proposed 

ACRS reports. 

Friday, November 3, 2023 

8:30 a.m.–6 p.m.: Committee 

Deliberation/Preparation of Reports 

(Open)—The Committee will deliberate 

and continue its discussion of proposed 

ACRS reports. 

Procedures for the conduct of and 

participation in ACRS meetings were 

published in the Federal Register on 

June 13, 2019 (84 FR 27662). In 

accordance with those procedures, oral 

or written views may be presented by 

members of the public, including 

representatives of the nuclear industry. 

Persons desiring to make oral statements 

should notify Quynh Nguyen, Cognizant 

ACRS Staff and the Designated Federal 

Officer (Telephone: 301–415–5844, 

Email: Quynh.Nguyen@nrc.gov), 5 days 

before the meeting, if possible, so that 

appropriate arrangements can be made 

to allow necessary time during the 

meeting for such statements. In view of 

the possibility that the schedule for 

ACRS meetings may be adjusted by the 

Chairman as necessary to facilitate the 

conduct of the meeting, persons 

planning to attend should check with 

the cognizant ACRS staff if such 

rescheduling would result in major 

inconvenience. 

An electronic copy of each 

presentation should be emailed to the 

cognizant ACRS staff at least one day 

before the meeting. 

In accordance with subsection 10(d) 

of Public Law 92–463 and 5 U.S.C. 

552b(c), certain portions of this meeting 

may be closed, as specifically noted 

above. Use of still, motion picture, and 

television cameras during the meeting 

may be limited to selected portions of 

the meeting as determined by the 

Chairman. Electronic recordings will be 

permitted only during the open portions 

of the meeting. 

ACRS meeting agendas, meeting 

transcripts, and letter reports are 


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