LAUS Redesign Federal Register Notice

Federal Register / Vol. 79, No. 175 / Wednesday, September 10, 2014 / Notices
FOR FURTHER INFORMATION CONTACT:

Heather Fleck at 202–693–2956, or
fleck.heather@dol.gov.
SUPPLEMENTARY INFORMATION:

I. Background
The Workforce Investment Act of
1998 (WIA) requires states to submit
either a ‘‘standalone’’ strategic plan for
title I of the Workforce Investment Act
of 1998 and the Wagner-Peyser Act
(WIA Section 112) or a Unified Plan
with partner programs (WIA Section
501). The State may also submit
requests for waivers and work-flex as
parts of the Strategic State Plan. These
State Plan requirements are titled ‘‘State
Integrated Workforce Plan Requirements
for Workforce Investment Act/WagnerPeyser Act and Department of Labor
Workforce Programs,’’ and ‘‘Planning
Guidance for State Unified Plans and
Unified Plan Modifications Submitted
under Section 501 of the Workforce
Investment Act (WIA).’’ The Planning
Guidance and Instructions provide a
framework for the collaboration of
governors, local elected officials,
businesses and other partners to
continue the development of workforce
investment systems that address
customer needs, deliver integrated userfriendly services, and are accountable to
the customers and the public.
Sections 102 and 103 of the
Workforce Innovation and Opportunity
Act (WIOA), (H.R. 803, July 22, 2014)
include similar provisions for States to
submit State Plans. Many of WIOA’s
provisions take effect on July 1, 2015,
but the existing WIA state and local
plan provisions remain in effect until
July 1, 2016. The Employment and
Training Administration (ETA) is
conducting a review of WIOA’s
implementation timeline and State Plan
provisions, and may amend this
information collection as part of its
implementation actions.
This information collection is
submitted under the legal requirements
of WIA, the law in effect at this time.

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II. Review Focus
The Department is particularly
interested in comments which:
• Evaluate whether the proposed
collection of information is necessary
for the proper performance of the
functions of the agency, including
whether the information will have
practical utility;
• evaluate the accuracy of the
agency’s estimate of the burden of the
proposed collection of information,
including the validity of the
methodology and assumptions used;

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• enhance the quality, utility, and
clarity of the information to be
collected; and
• minimize the burden of the
collection of information on those who
are to respond, including through the
use of appropriate automated,
electronic, mechanical, or other
technological collection techniques or
other forms of information technology,
e.g., permitting electronic submissions
of responses.
III. Current Actions
Type of Review: Extension without
revisions.
Title: Planning Guidance and
Instructions for Submission of the
Strategic State Plan for Title I of the
Workforce Investment Act of 1998
(WIA) and the Wagner-Peyser Act.
OMB Number: 1205–0398.
Affected Public: State or local
governments.
Estimated Total Annual Respondents:
10.
Estimated Total Annual Responses:
10.
Estimated Total Annual Burden
Hours: 400.
Total Estimated Annual Other Costs
Burden: There are no other costs.
We will summarize and/or include in
the request for OMB approval of the
ICR, the comments received in response
to this comment request; they will also
become a matter of public record.
Portia Wu,
Assistant Secretary for Employment and
Training, Labor.
[FR Doc. 2014–21571 Filed 9–9–14; 8:45 am]
BILLING CODE 4510–FN–P

DEPARTMENT OF LABOR
Employment and Training
Administration
Workforce Investment Act; Native
American Employment and Training
Council
Employment and Training
Administration, U.S. Department of
Labor.
ACTION: Notice of meeting.

53787

Wednesday, November 5, 2014, and
continue until 5:00 p.m. that day. The
meeting will reconvene at 9:00 a.m. on
Thursday, November 6, 2014, and
adjourn at 5:00 p.m. that day. The
period from 3:30 p.m. to 5:30 p.m. on
November 5, 2014, will be reserved for
participation and presentations by
members of the public.
ADDRESSES: The meeting will be held at
the Brown Hotel, 335 West Broadway,
Louisville, Kentucky 40202.
SUPPLEMENTARY INFORMATION: The
meeting will be open to the public.
Members of the public not present may
submit a written statement on or before
November 3, 2014, to be included in the
record of the meeting. Statements are to
be submitted to Mr. Craig Lewis,
Designated Federal Official (DFO), U.S.
Department of Labor, 200 Constitution
Avenue NW., Room S–4209,
Washington, DC 20210. Persons who
need special accommodations should
contact Mr. Craig Lewis at (202) 693–
3384, at least two business days before
the meeting. The formal agenda will
focus on the following topics: (1) U.S.
Department of Labor, Employment and
Training Administration Update; (2)
Training and Technical Assistance; (3)
Council and Workgroup Updates and
Recommendations; (4) New Business
and Next Steps; and (5) Public
Comment.
Mr.
Craig Lewis, DFO, Division of Indian
and Native American Programs,
Employment and Training
Administration, U.S. Department of
Labor, Room S–4209, 200 Constitution
Avenue NW., Washington, DC 20210.
Telephone number (202) 693–3384
(VOICE) (this is not a toll-free number).

FOR FURTHER INFORMATION CONTACT:

Signed at Washington, DC, August 2014.
Portia Wu,
Assistant Secretary, Employment and
Training Administration.
[FR Doc. 2014–21565 Filed 9–9–14; 8:45 am]
BILLING CODE 4501–FR–P

AGENCY:

Pursuant to Section 10 (a)(2)
of the Federal Advisory Committee Act
(FACA) (Pub. L. 92–463), as amended,
and Section 166 (h)(4) of the Workforce
Investment Act (WIA) [29 U.S.C.
2911(h)(4)], notice is hereby given of the
next meeting of the Native American
Employment and Training Council
(Council), as constituted under WIA.
DATES: The meeting will begin at 9:00
a.m. (Eastern Standard Time) on
SUMMARY:

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DEPARTMENT OF LABOR
Bureau of Labor Statistics
Comment Request on the Local Area
Unemployment Statistics Program
AGENCY:

Bureau of Labor Statistics,

Labor.
Request for comments on
proposed action.

ACTION:

The Department of Labor,
through the Bureau of Labor Statistics
(BLS) and, specifically, the Local Area
Unemployment Statistics (LAUS)

SUMMARY:

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Federal Register / Vol. 79, No. 175 / Wednesday, September 10, 2014 / Notices

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program, is responsible for the
development and publication of State
and local area labor force statistics. The
LAUS program develops and issues
monthly estimates of the labor force,
employment, unemployment, and the
unemployment rate for approximately
7,300 areas in the Nation. A major
program redesign to improve the
methodological basis of the LAUS
estimates and update the geography and
techniques to reflect 2010 Census data
was initially funded in FY 2011. After
completion of various long-term
research projects, the BLS plans to
implement improvements to its
estimating methods with State and area
LAUS estimates for January 2015, to be
published in March 2015.
DATES: Written comments must be
submitted to the office listed in the
ADDRESSES section of this notice on or
before November 10, 2014.
ADDRESSES: Send comments to Patrick
Carey, Local Area Unemployment
Statistics, Bureau of Labor Statistics,
Room 4675, Massachusetts Avenue NE.,
Washington, DC 20212 or by email to:
LAUS_FRN@bls.gov.
FOR FURTHER INFORMATION CONTACT:
Walter Sylva, Local Area
Unemployment Statistics, Bureau of
Labor Statistics, telephone number 202–
691–6456 (this is not a toll-free
number), or by email to: LAUS_FRN@
bls.gov.
SUPPLEMENTARY INFORMATION:
I. Introduction
The Department of Labor, through the
Bureau of Labor Statistics, is responsible
for the development and publication of
State and local area labor force statistics
through the Local Area Unemployment
Statistics (LAUS) program. Currently,
monthly estimates of employment,
unemployment, and the unemployment
rate are prepared for approximately
7,300 areas, including Census regions,
Census Divisions, all States and the
District of Columbia, Puerto Rico,
metropolitan and small labor market
areas, counties, cities of 25,000
population or more, and all cities and
towns in New England regardless of
population. In a multi-year, multiproject initiative that began in FY 2011,
the following prospective improvements
to State and area labor force estimation
were identified:
• Improve State time series estimating
models by introducing:
Æ Model-Based Benchmarking that
accounts for errors in the estimates
Æ Additivity of outlier effects that
allocates level shifts to the
appropriate State
Æ More efficient model structure that

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reduces processing time
Æ Enhanced smoothed seasonal
adjustment procedures
• Incorporate American Community
Survey (ACS) data to replace
Census long form data that are no
longer available as inputs
• Update procedures for developing
other substate areas that employ
innovative and dynamic estimating
methods
II. Background
A hierarchy of estimation methods is
used to produce the State and area labor
force estimates, based in large part on
the availability and quality of data from
the Current Population Survey (CPS),
the official measure of the labor force for
the Nation. Labor force estimates are
generated for the nine Census Divisions
utilizing time series models and are
controlled to National estimates. State
estimates also are developed using time
series models and are controlled to
Division estimates. Finally, substate
estimates are developed by means of a
building-block approach using locally
available data and are controlled to
State estimates.
Improved Time Series Models. The
estimates for States, the District of
Columbia, New York City and the Los
Angeles Metropolitan Division, and
their respective balances of New York
State and California are developed using
signal-plus-noise models. These models
rely heavily on monthly CPS data as
well as current wage and salary
employment estimates from the Current
Employment Statistics (CES) program
and claims data from State
unemployment insurance (UI) programs.
There are signal-plus-noise models for
five additional substate areas and their
respective balances of State. The areas
are: The Chicago-Naperville-Joliet, IL
metropolitan division; the ClevelandElyria-Mentor, OH metropolitan area;
the Detroit-Warren-Livonia, MI
metropolitan area; the Miami-Miami
Beach-Kendall, FL metropolitan
division; and the Seattle-BellevueEverett, WA metropolitan division. As
with the State and Census Division
models, these area models are based on
the classical decomposition of a time
series into trend, seasonal, and irregular
components. A component to identify
and remove CPS sampling error is also
included. Area models, like the Census
Division models, are univariate in
design in that only the historical
relationship of the CPS is considered—
UI claims data and CES employment
data are not used each month in the
estimation process.
The monthly estimates of
employment and unemployment utilize

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a tiered approach to estimation known
as real-time benchmarking. Model-based
estimates (using a univariate form) are
developed for the nine Census Divisions
that geographically exhaust the Nation.
These estimates are controlled to the
National levels of employment and
unemployment. State model-based
estimates are then made and controlled
to the Census Division estimates. In this
manner, the monthly State employment
and unemployment estimates will add
to the National levels, precluding
differences between the sum of States
and the National estimates, and
National shocks related to the business
cycle or outliers like September 11 will
be addressed in real time. Monthly prorata factors for each Census Division are
used to adjust the sum of the States
within each Census Division to sum to
the Division totals. Census Divisions
also use pro-rata factors to ensure that
they sum to the Nation. Substate
estimates, including the area and
balance-of-State models noted above,
are controlled directly to the State
totals, which are themselves controlled
to the National CPS via the Census
Division models.
The new time series models introduce
the following major improvements: (1)
Model-based benchmarking, (2)
additivity of outlier effects, (3) new
model structure, and (4) enhanced
smoothed seasonal adjustment
procedure.
The improved models will directly
produce estimates that automatically
sum to Census Division controls and
thus eliminate the need for the external
pro-rata factors currently in use to
benchmark State estimates to their
Census Divisions. During the
benchmarking process the new models
account for the errors inherent in each
facet of the estimating procedure. These
include State-specific CPS sampling
error, State model prediction errors
based on historical patterns, errors in
the estimates used as a benchmark
(Census Division & National), and the
relation of these errors to the overall
size of the benchmark discrepancy. This
approach provides greater flexibility
(monthly benchmarking adjustments
will vary by State and by type of series),
smoother monthly adjustment factors,
and improved reliability measures.
Another important improvement is
that the new models allow for the
additivity of outlier effects. Outlier
estimates will be separated from the
benchmarking process, resulting in the
outliers being specific to where they
occurred. Level shifts and onetime
outliers will not be spread across all
States within a Census Division so as

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Federal Register / Vol. 79, No. 175 / Wednesday, September 10, 2014 / Notices
not to distort the magnitude of the
outlier effect.
The new model structure uses CES
and UI trend estimates as regressor
variables to explain trend variation in
the CPS. This produces results similar
to current bivariate models but with a
major reduction in computing time. The
new structure also allows for more
flexibility for model development over
the long term.
An enhanced smooth seasonal
adjustment procedure will be utilized to
address the presence of residual
seasonality that is noticeable in some of
the smoothed seasonally adjusted
employment series. The smoothed
seasonal adjustment (SSA) procedure
was implemented in 2005 with the third
generation of models. The SSA
procedure uses the Henderson Trend
Filter to isolate the trend of the series by
removing much of the volatility that is
introduced to the State’s estimates
during the real-time benchmarking
process. However, even with the
application of the SSA there still
remained some statistical evidence of
weak residual seasonality in the SSA
employment series. (The unemployment
levels and the unemployment rates were
not affected.)
To address this concern, the fourth
generation of models utilize an
improved smoothed seasonal
adjustment filter. In addition to the
trend filter, additional weights have
been added to create a seasonal filter as
well. The enhanced procedure will
continue to remove the volatility
introduced by real-time benchmarking,
while simultaneously removing all
residual seasonality that results from
benchmarking to a seasonal series.
Incorporation of American
Community Survey. For the 2010
Census, the long- and short-form
questionnaires used from 1940 to 2000
were replaced by a single questionnaire
asking 10 questions. The more detailed
socio-economic data once obtained by
the long-form questionnaire are now
provided by the American Community
Survey (ACS). The LAUS program had
been reliant on the long form data as the
basis for developing substate estimates
for self-employed, unpaid family
workers, private household workers,
and agricultural workers throughout the
decade. These data elements represent
employment that is either not covered
by unemployment insurance
compensation programs or not included
in the payroll survey data CES, thus the
Census long form had been the sole
source for this type of information at the
local level.
ACS data are issued on an annual
basis and they do not represent a single

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point in time as did the decennial
Census, which represented April 1 in
the year that the Census was conducted.
Instead ACS data are estimates that span
1 year, 3 years, or 5 years depending on
the population level of each area. To
ensure coverage of all LAUS geography,
which includes areas with 25,000
population or more and all cities and
towns in New England regardless of
population, the 5-year estimates must be
used. In addition to covering all LAUS
geography, the 5-year estimates use the
largest sample size and are the most
statistically reliable of the ACS
estimates. However, since they
represent a 5-year span they cannot be
directly used to develop current
monthly estimates.
The most current source of the needed
data inputs is the CPS which does not
have the geographic detail of the ACS.
The proposed methodology will utilize
the strengths of the CPS and the ACS to
develop monthly estimates of selfemployed, unpaid family, and private
household workers (collectively known
as ‘‘all-other’’ employment) and
agricultural workers at the needed level
of geography.
Enhanced procedures for developing
other substate areas. Utilizing ACS data
to replace the Census long form data
facilitated the enhancement of some of
the substate methodologies making up
the building-block approach used to
develop independent substate estimates.
Revisions are proposed for the
methodology of adjusting place-of-work
data to a place-of-residence basis, the
estimation of what is known as ‘‘allother’’ employment, the estimation of
agricultural employment, and the
estimation of agricultural
unemployment not covered by
unemployment insurance. In addition,
substate estimates will be developed at
the county level rather than the labor
market area level. A brief discussion of
the new methodologies is below.
Place-of-Work Residency Adjustment.
The LAUS program uses the same labor
force concepts as the CPS. Thus
employment inputs from the CES and
Quarterly Census of Employment and
Wages (QCEW) programs, which are
based on place-of-work, must be
adjusted to reflect the worker’s place of
residence per the CPS. To accomplish
this, Dynamic Residency Ratios (DRRs)
are applied to CES and QCEW
employment inputs for LAUS
estimation. This methodology assumes
that resident employment in an area is
a function of the relationship between
employed residents and jobs not only in
that area, but in other areas within
commuting distance. The procedure is
more dynamic than the use of a single

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residency ratio insofar as job count
changes in commuting areas can affect
resident employment.
In the past, journey-to-work data from
the decennial Census were incorporated
into the DRRs. Journey-to-work data
were not available from 2010 Census
due to the discontinuation of the long
form. For the LAUS 2015 redesign,
DRRs will be computed using ACS
journey-to-work data in the same
manner that they are computed now
with one major modification. Currently,
an area must be the destination
workplace of at least 100 resident
commuters (50 in New England) to be
considered a potential commuter area.
BLS proposes replacing these criteria
with a percentage threshold. In the new
set of DRRs, commuter areas will be
limited to those areas that are the work
destination of no less than 10 percent of
resident commuters. This will eliminate
marginal commuter areas included in
the previous methodology to account for
potential future growth.
The previous threshold for DRR
commutation areas reflected the tenyear span between Census journey-towork data releases. The inclusion of a
relatively high number of areas would
accommodate any potential changes to
commuting patterns over the ensuing
decade. The new data source for DRRs,
ACS journey-to-work data, is intended
to be updated every five years. The
increased frequency in the availability
of commutation data will make the list
of commutation areas more responsive
to changing commuting patterns,
reducing the need to include minor
destinations which may grow in
importance over time.
Estimation of All-Other Employment.
The current method uses Census 2000
data as the starting point for the selfemployed, unpaid family, and private
household workers (known as ‘‘AllOther Employment’’) and moves it
forward through time by applying the
relationship of all-other employment to
the nonfarm wage and salary
employment estimate at the time of the
Census.
The new method uses the relationship
of each area’s share of ACS all-other
employment to the State’s total ACS allother employment. This relationship is
then used to allocate a monthly 5-year
weighted average of each State’s CPS
estimate of all-other employment. A
weighted average of the CPS estimate is
used because, depending on the State’s
CPS sample size, the monthly estimate
for this element may be volatile due to
sampling error. This monthly 5-year
weighted average consists of the current
month’s estimate averaged with the
same month’s estimate going back 4

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years, with more weight placed on the
more current estimates. This technique
borrows strength from prior estimates
while preserving seasonal trends.
Estimation of Agricultural
Employment. The current method uses
the Census 2000 data as the base and
moves the estimate forward using a
monthly change factor based on a State’s
membership in a multi-State
agricultural region.
The new method for estimation of
agricultural employment uses a similar
approach as the all-other employment
method. A monthly 5-year weighted
average of each State’s CPS estimate of
agricultural employment is developed
and allocated to substate areas using
each areas’ share of the State’s total ACS
agricultural employment. This method
is State-specific and eliminates the need
for an agricultural regional factor.
Estimation of non-covered
agricultural unemployment. This is an
optional procedure that is currently
utilized by 19 States. The current
procedure uses an indirect approach for
the estimation of agricultural
unemployment not covered by
unemployment insurance. It assumes
that there is unemployment associated
with employment and that the
unemployment rate in non-covered
agriculture is related to the rate of
unemployment in covered sectors of the
economy. To estimate non-covered
agricultural employment, the annual
average of covered agricultural
employment from the QCEW program is
subtracted from the covered agricultural
employment estimate that is developed
each month (as described in the prior
section). Seasonal factors derived from
CPS agricultural data from 1977–1982
are applied to account for seasonality.
The new method replaces the annual
average QCEW covered agricultural
employment with a 1-year lagged
monthly estimate of agricultural
employment from the QCEW and
eliminates the potentially outdated
seasonal factors. Use of a 1-year lagged
monthly estimate will incorporate
seasonal trends into the estimate,
simplifying the calculation and making
it more responsive to long-term changes
in seasonal patterns.
New procedure for estimating
employment and unemployment at the
county level. Labor market areas (LMAs)
are independently estimated using a
building block approach that
incorporates the new methods discussed
above and other methods still currently
in use. The employment component is
comprised of non-agricultural wage and
salary employment, all-other
employment and agricultural
employment. While the unemployment

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component is derived by summing the
estimates of non-covered agricultural
unemployment (if applicable), total
unemployment insurance (UI)
continued claims without earnings,
unemployed exhaustees and
unemployed entrants into the labor
force.
The current procedure consists of first
developing these independent substate
estimates at the LMA level and then
disaggregating them into counties and
cities. With the exception of nonagricultural wage and salary
employment, all inputs for estimating
the components of employment and
unemployment are readily available at
the county level (Minor Civil Division
(MCD) level in New England, MCDs
being cities and towns). Aggregating
these more geographically detailed data
into LMAs is an unnecessary step that
results in the distortion of these data
when they are reallocated backed to the
county level or MCD level, particularly
for some of the unemployment
components.
The new method proposes to first
develop the independent substate
estimates at county level and then sum
them to their appropriate LMA. This
approach will result in more accurate
estimates and will allow better
operational flexibility for future updates
to the geographic definitions of LMAs as
counties (MCDs in New England) are the
basic component of LMA geographic
definitions issued by the Office of
Management (OMB), as well as for small
labor market areas as defined by the
BLS.
The current method estimates the
labor force in LMAs, which are defined
to comprise one or more counties
(MCDs in New England). Employment
and unemployment inputs are entered
at the LMA level. In a multi-county
LMA, county unemployment estimates
are disaggregated from the LMA using
the share of UI claims for the
experienced unemployed, the share of
the 16–19 population for unemployed
new entrants, and the share of the 20+
population for unemployed re-entrants.
The new procedures discussed above
for estimating the employment
components of all-other employment
and agricultural employment produce
these estimates at the county level. The
non-agricultural wage and salary
employment component, which is
provided by the CES and the QCEW
programs, is generally available at the
LMA level and must be allocated into
the counties that comprise the LMA.
This will be accomplished by using ACS
non-agricultural wage and salary
employment ratios derived from the
most recent ACS five-year dataset to

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distribute the CES/QCEW LMA data to
its component counties (and MCDs in
New England). This step is not needed
for single county LMAs.
All of the necessary inputs for
estimating unemployment are already
available at the county (and MCD) level.
The new procedure results in more
accurate county estimates by estimating
the level of persons who remain
unemployed after exhausting their
eligibility for unemployment insurance
benefits (known as exhaustees) at the
county level and by avoiding the
disaggregation of entrants from
interstate LMAs.
In the current method, if a layoff
event occurs in a county that is part of
a multi-county LMA, the exhaustees
later associated with this event are not
necessarily assigned to the county
where the layoff occurred. This is
because estimates of persons who have
exhausted their eligibility for further UI
benefits are disaggregated to a county
using that county’s share of persons
who continue to be eligible for benefits.
Using the new county-based
methodology, each county will have its
own independently estimated number
of exhaustees, which will make it
unnecessary to disaggregate exhaustees
from the LMA level.
In addition, unemployed entrants to
the labor force are allocated from a
Statewide control total to the intrastate
parts of interstate LMAs using ratios
based on annually updated population
data from the Census Bureau. These
entrants are then summed into their
respective interstate LMAs before being
disaggregated again using ratios based
on population data specific to each
interstate LMA. In some cases this twostep process has the effect of
reallocating entrant unemployment
estimates across State lines. Using the
new county-based methodology, each
county will be allocated its share of
entrants in one step.
Detailed descriptions of the current
and Redesign approaches are available
at the above address and at the BLS
LAUS Web site http://www.bls.gov/lau/
home.htm.
II. Desired Focus of Comments
This notice is a general solicitation of
comments from the public.
Comments submitted in response to
this notice will be summarized and
included in the Notice of Decision on
this proposal.

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Signed at Washington, DC, this 29th day of
August 2014.
Eric Molina,
Acting Chief, Division of Management
Systems, Bureau of Labor Statistics.
[FR Doc. 2014–21241 Filed 9–9–14; 8:45 am]

NATIONAL ARCHIVES AND RECORDS
ADMINISTRATION
[NARA–2014–054]

National Archives and Records
Administration.
ACTION: Notice of meeting.
AGENCY:

In accordance with the
Federal Advisory Committee Act, as
amended (5 U.S.C. appendix 2), the
National Archives and Records
Administration (NARA) announces a
meeting of the Advisory Committee on
Presidential Library-Foundation
Partnerships. The meeting will be held
to discuss the Presidential Library
program and topics related to the
public-private partnership between
Presidential Libraries and Presidential
Foundations. The meeting will be open
to the public.
DATES: The meeting will be held on
Thursday, October 23, 2014 from 10:00
a.m. to 1:00 p.m.
ADDRESSES: National Archives Building
at 700 Pennsylvania Avenue NW.,
Washington, DC, Room 105.
FOR FURTHER INFORMATION CONTACT:
Denise LeBeck at 301–837–3250 or
denise.lebeck@nara.gov.
SUPPLEMENTARY INFORMATION: Meeting
attendees may enter from Pennsylvania
Avenue entrance. Photo identification
will be required. No visitor parking is
available at the Archives building;
however there are commercial parking
lots and metered curb parking nearby.
SUMMARY:

Dated: September 4, 2014.
Patrice Little Murray,
Committee Management Officer.

AGENCY:

On July

31, 2014 the National Science
Foundation published a notice in the
Federal Register of a permit
modification received. The permit was
issued on September 3, 2014 to:
Ron Naveen
Permit No. 2014–001
Nadene G. Kennedy,
Polar Coordination Specialist, Division of
Polar Programs.
[FR Doc. 2014–21563 Filed 9–9–14; 8:45 am]
BILLING CODE 7555–01–P

NATIONAL SCIENCE FOUNDATION
Notice of Permits Issued Under the
Antarctic Conservation Act of 1978
AGENCY:

National Science Foundation

Notice of permits issued under
the Antarctic Conservation of 1978,
Public Law 95–541.

ACTION:

The National Science
Foundation (NSF) is required to publish
notice of permits issued under the
Antarctic Conservation Act of 1978.
This is the required notice.

SUMMARY:

Li
Ling Hamady, ACA Permit Officer,
Division of Polar Programs, Rm. 755,
National Science Foundation, 4201
Wilson Boulevard, Arlington, VA 22230.
Or by email: ACApermits@nsf.gov.

FOR FURTHER INFORMATION CONTACT:

On July 2,
2014 the National Science Foundation
published a notice in the Federal
Register of a permit application
received. The permit was issued on
September 3, 2014 to:

BILLING CODE 7515–01U–P

Dr. Terrie M. Williams
Permit No. 2015–003

NATIONAL SCIENCE FOUNDATION
tkelley on DSK3SPTVN1PROD with NOTICES

Li
Ling Hamady, ACA Permit Officer,
Division of Polar Programs, Rm. 755,
National Science Foundation, 4201
Wilson Boulevard, Arlington, VA 22230.
Or by email: ACApermits@nsf.gov.

SUPPLEMENTARY INFORMATION:

[FR Doc. 2014–21558 Filed 9–9–14; 8:45 am]

Notice of Permits Issued Under the
Antarctic Conservation Act of 1978
National Science Foundation.
Notice of permits issued under
the Antarctic Conservation of 1978, Pub.
L. 95–541.

AGENCY:
ACTION:

19:04 Sep 09, 2014

NATIONAL SCIENCE FOUNDATION

SUPPLEMENTARY INFORMATION:

Advisory Committee on the
Presidential Library-Foundation
Partnerships

VerDate Mar<15>2010

The National Science
Foundation (NSF) is required to publish
notice of permits issued under the
Antarctic Conservation Act of 1978.
This is the required notice.

SUMMARY:

FOR FURTHER INFORMATION CONTACT:

BILLING CODE 4510–24–P

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53791

[FR Doc. 2014–21564 Filed 9–9–14; 8:45 am]

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National Science Foundation.
Notice of Permit Applications
Received under the Antarctic
Conservation Act of 1978, Public Law
95–541.

ACTION:

The National Science
Foundation (NSF) is required to publish
a notice of permit applications received
to conduct activities regulated under the
Antarctic Conservation Act of 1978.
NSF has published regulations under
the Antarctic Conservation Act at Title
45 Part 670 of the Code of Federal
Regulations. This is the required notice
of permit applications received.
DATES: Interested parties are invited to
submit written data, comments, or
views with respect to this permit
application by October 10, 2014. This
application may be inspected by
interested parties at the Permit Office,
address below.
ADDRESSES: Comments should be
addressed to Permit Office, Room 755,
Division of Polar Programs, National
Science Foundation, 4201 Wilson
Boulevard, Arlington, Virginia 22230.
FOR FURTHER INFORMATION CONTACT: Li
Ling Hamady, ACA Permit Officer, at
the above address or
ACApermits@nsf.gov or (703) 292–7149.
SUPPLEMENTARY INFORMATION: The
National Science Foundation, as
directed by the Antarctic Conservation
Act of 1978 (Pub. L. 95–541), as
amended by the Antarctic Science,
Tourism and Conservation Act of 1996,
has developed regulations for the
establishment of a permit system for
various activities in Antarctica and
designation of certain animals and
certain geographic areas a requiring
special protection. The regulations
establish such a permit system to
designate Antarctic Specially Protected
Areas.
SUMMARY:

Application Details
1. Applicant: Kenneth W.W. Sims,
University of Wyoming, Department of
Geology and Geophysics, Dept. 3006,
1000 E. University Avenue, Laramie,
WY 82071–2000.
Permit Application: 2015–007

Nadene G. Kennedy,
Polar Coordination Specialist, Division of
Polar Programs.
BILLING CODE 7555–01–P

Notice of Permit Applications Received
Under the Antarctic Conservation Act
of 1978

Activity For Which Permit Is
Requested: ASPA entry; Enter Cape
Crozier to extract 3 5–10kg rock samples
from lava outcrops.
Location: ASPA 124 Cape Crozier,
Ross Island.

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