Pursuant to Executive Order 13985 (January 20, 2021) on"Advancing Racial Equity and Support for Underserved
Communities Through the Federal Government"

A Vision for Equitable Data

Recommendations
from the Equitable
Data Working
GroupOverview

The Executive Order on Advancing Racial Equity and Support for Underserved Communities
Through the Federal Government (“Equity EO”) launched a whole-of-government effort toincorporate the principle of equity throughout the federal government. Recognizing thatthe ability to conduct equity assessments—i.e., to understand the impact of federal policies
on equity outcomes—and identify and remove barriers to equitable access to government
programs is contingent on gathering the necessary data, President Biden ordered theformation of the Equitable Data Working Group (“Working Group”). The President directed theWorking Group to study existing federal data collection policies, programs, and infrastructure
to identify inadequacies and provide recommendations that lay out a strategy for increasingdata available for measuring equity and representing the diversity of the American people.
Disaggregated data—data that can be broken down and analyzed by race, ethnicity, gender,
disability, income, veteran status, age, or other key demographic variables—is essential
to this task. It offers more precise statistical indicators of population well-being, as wellas insight into who can and cannot access government programs and whether benefits
and services are reaching underserved and underrepresented communities. Equitablepolicymaking and program design also require attention, through data collection andanalysis, to understand the ways in which people who belong to multiple underserved andunderrepresented populations can experience compounded discrimination or disadvantage
in accessing government benefits, services, and programs.
The Working Group, (see Appendix A) chaired by Dr. Alondra Nelson (OSTP) and Dr. Margo
Schwab (OMB), consulted with a range of advocates and experts from civil society, including
academic researchers and community leaders who leverage federal data (see Appendix B);
federal department and agency leads for data, statistics, privacy, and program evaluation;and our colleagues leading related equity efforts (e.g., the White House Gender Policy
Council, Justice40, and the White House Initiative on Asian American, Native Hawaiian,and Pacific Islanders (WHIAANHPI)). The Working Group was also informed by agency
efforts to implement the President’s policies on scientific integrity and evidence-based
policymaking, and related OSTP and OMB guidance. These stakeholders and officials
identified three priority uses for equitable data: generating disaggregated statisticalestimates to characterize experiences of historically underserved groups using survey data;
increasing non-federal research and community access to disaggregated data for theevidence-building that supports equity efforts; and conducting robust equity assessmentsof federal programs to identify areas for improvement. The Working Group also pursued aseries of case studies to identify what progress could be made using existing program data
to answer equity-centered questions in areas such as economic recovery and pandemic or
environmental disaster response.
In this document, the Working Group presents a new vision for equitable data that will drive
the Biden-Harris Administration over the next year and beyond. Presented alongside thisvision are key recommendations of the Working Group, early examples of progress, andrelated investments called for in the FY 2023 President’s Budget.
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A Vision for Equitable Data

Equitable data are those that allow for rigorous assessment of the extent to whichgovernment programs and policies yield consistently fair, just, and impartial treatment of
all individuals. Equitable data illuminate opportunities for targeted actions that will result in
demonstrably improved outcomes for underserved communities. The following practices willallow us to achieve our equitable data vision:

Make Disaggregated Data the Norm While Protecting Privacy
To ensure that historically underserved populations are empowered by and benefit fromfederal data, surveys, and equity assessments, the federal data system should support
disaggregation, directly or through statistical estimates. However, as the federal government
expands its use of disaggregated demographic data, it must be intentional about when data
are collected and shared, as well as how data are protected so as not to exacerbate thevulnerability of members of underserved communities, many of whom face the heightenedrisk of harm if their privacy is not protected.

Catalyze Existing Federal Infrastructure to Leverage Underused Data
Although many federal programs do not report disaggregated data, they may partnerwith the thirteen federal statistical agencies (agencies whose principal mission is to
produce official federal statistics) that have the experience, and many of the tools
necessary, to allow departments and agencies to generate disaggregated estimates ofprogram participation in ways that protect against inadvertent disclosure of identifiable
information. Policy support for generating the legal and logistical agreements necessary
for productive interagency data-sharing partnerships will help to avoid historical roadblocks
and address underutilization of existing federal data by facilitating quick and safe accessto disaggregated data for equity assessment. Data sharing must be done in a mannerthat explicitly addresses the tension between the public’s trust in data confidentiality andincreasing data access for equity efforts.

Build Capacity for Robust Equity Assessment for Policymaking andProgram Implementation
Equitable policymaking and program implementation require an approach to evaluation anddata analysis that allows for robust assessment of compounded experiences and overlapping
identities. Such analysis is critical because it recognizes how the interconnectedness ofidentities and experiences (e.g., as a Black woman, or as a transgender immigrant) shape theneed for particular federal programs and services and the barriers that may prevent access.
Agencies and program offices will need to invest in the statistical, evaluation, and data
science expertise necessary to design and conduct robust equity assessments using theiradministrative data, consistent with the Foundations for Evidence-Based Policymaking Act of2018 ("Evidence Act”) and the Equity EO.

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Galvanize Diverse Partnerships Across Levels of Government and the
Research Community
Durable, equitable data infrastructure requires fostering collaborations across all levelsof government, as well as with a diverse community of external organizations in orderto address specific challenges of mutual priority and interest. It will be necessary tocreate incentives and pathways for increased representation among research community
participants interested in generating equitable data and engage representatives of thecommunities that access and participate in federal programs in the design of researchcollaborations about those programs. Agencies must also look for opportunities to create
mutually beneficial uses of the data that they request from grantees, in order to encourage
providing good quality data.

Be Accountable to the American Public
Providing tools that allow civil society organizations and communities to use and visualize
federal data and chart government’s progress toward equitable outcomes is crucial forstrengthening accountability and credibility with the American public. Such tools encouragecommunity participation in government equity efforts, but must meet individuals where
they are in terms of data analysis capacity and resources. The government should support
platforms and partnerships that enable the public to easily find meaningful data about thewell-being of their communities and the services provided to them.

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupKey Recommendations
The recommendations presented here are designed to establish thefoundation for a holistic federal strategy toward equitable data, in which
all actors are intentional about when and how they promote disaggregateddemographic data across the full data lifecycle— including the collection,
protection, management, analysis, dissemination, use, and destruction of
the data.
Make Disaggregated Data the Norm while Protecting Privacy
Revise the Office of Management and Budget (OMB) Statistical Policy
Directive 15: Standards for Maintaining, Collecting, and Presenting
Federal Data on Race and Ethnicity
Federal standards are important because they ensure consistent and comparable
data government-wide. However, many who met with the Working Group emphaticallystated that many individuals—for example, people of Middle Eastern and North African
heritage and subgroups of Asian American, Native Hawaiian and Pacific Islanders—are
not represented within the current minimum racial and ethnic categories, leaving themunseen in government statistics and masking important inequities.
Key Administration Actions
As the FY23 budget request indicates, the Administration is prioritizing restoring
statistical infrastructure necessary to preserve the integrity of the federal statisticalsystem and the statistical standards under which it operates. While OMB is actively
working to help ensure the federal statistical system efficiently, effectively, andaccurately captures the diversity of the American people, federal agencies, along withstate and local partners, are also able to disaggregate data beyond OMB’s minimum
classification categories for collection, tabulation, and reporting – as the U.S. Census
Bureau did for the 2020 Census data collection. OMB is developing updated guidance
to promote improved understanding of disaggregation already allowable under thecurrent Statistical Policy Directive No. 15.
Several federal statistical surveys already offer respondents the opportunity toprovide their specific Asian or Native Hawaiian or Other Pacific Islander identity. The
Interagency Council on Statistical Policy is developing a searchable data catalog toincrease awareness about the availability of disaggregated Asian and Native Hawaiian
or Pacific Islander federal statistical data to facilitate analysis of these data in order tounderstand the life experiences of these smaller population groups.

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupKey Recommendations

Generate disaggregated statistical estimates
Changing the race and ethnicity standard is important but not sufficient to generate
the disaggregated statistical estimates on federal surveys that are necessary
for understanding potential disparities in life experiences and outcomes acrossdemographic groups. Sample sizes in many national statistical surveys would need
to be increased to generate estimates for smaller populations – such as individual
LGBTQI+ communities and smaller racial and ethnic groups – without jeopardizing theconfidentiality of survey respondents. Additionally, because increases in sample size
are not a cost-effective way to study the smallest population subgroups, the Working
Group recommends support for other alternative avenues as well. For instance,
statistical agencies should explore creating multi-year datasets for national surveys
that will allow publishing estimates for small populations.
Key Administration Actions
The Bureau of Labor Statistics has demonstrated that even for populations where
we have historically found it more difficult to collect representative data, there are
creative ways to document important trends. Over the last few months, they havepublished several special reports, including one on barriers to employment for persons
with disabilities disaggregated by age, sex, educational attainment, and prior work
experience and another about the unemployment rate of American Indians and Native
Alaskans from 2003 through 2021.
The President’s Fiscal Year 23 budget request includes funding for the following:
National Center for Health Statistics (NCHS) to increase data available forunderstanding the health and health care status of historically underserved
communities through evaluation of electronic health records and increasing thesample size of the National Health Interview Survey to allow disaggregated estimatesand analyses of health care access, chronic health conditions (including long
COVID-19), and mental health status disaggregated by and across race and ethnicity,
gender identity, and sexual orientation.
Bureau of Justice Statistics to increase understanding of crime victimization inhistorically underserved communities through investment in the volume, quality,
and analysis of data collected by the National Incident Based Reporting System andimproving the National Crime Victimization Survey.
Census Bureau to develop sampling frames to support study of historicallyunderserved communities; improve measurement of race and ethnicity throughimprovements in record linkage methodologies and imputation methods; and assess
the feasibility of combining labor force survey data with other sources of information,such as administrative data and population estimates, to produce estimates on

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupKey Recommendations

topics of interest for smaller population groups that are not available elsewhere (e.g.,
American Indian and Alaska Native and Native Hawaiian and Other Pacific Islander).

Establish best practices for measuring sexual orientation, gender
identity, disability, and rural location
Both community advocates and agencies raised concerns that the lack of governmentwide guidance for collecting demographic variables inhibits a consistent, inclusive data
strategy and stymies the ability to examine equity across these identities.
Key Administration Actions
NCHS asked transgender, non-binary, and other Americans about how they want to
see themselves reflected on Federal IDs. This groundbreaking user research directly
informed the State Department’s adopted definition of the “X” gender marker andprovided the basis for additional gender options on several other federal forms.
The Federal Committee on Statistical Methodology recently completed a brief that
describes what we have learned to date from federal efforts to develop effective
sexual orientation and gender identity survey questions. This work informed the
Census Bureau information collection on sexual orientation and gender identity in its
Household Pulse Survey, beginning in July 2021.
The President’s Fiscal Year 23 budget request includes funding for critical research on
how to best add questions about sexual orientation and gender identity to the Census
Bureau’s American Community Survey, one of our nation’s largest and most importantsurveys of American households. This data collection will help the federal government
better serve the LGBTQI+ community by providing valuable information on their jobs,
educational attainment, home ownership, and more.

Catalyze Existing Federal Government Infrastructure to Leverage
Underused Data
Expand protected access to data for equity assessment

Historically, when specific demographic data was not necessary for determining an
individual’s eligibility for a program, agencies did not collect such information. Oneof the most common questions that agencies posed to the Working Group was how
they could disaggregate their program participant rolls in order to identify and rectify
any inequity. The Working Group identified opportunities to estimate social safety net
program participation by demographic characteristics, while preserving privacy, by
matching existing federal data, such as those held by the Census.
Key Administration Actions
Through its case study on Economic Impact Payments (EIPs) that provided relief

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupKey Recommendations

during the pandemic, the Working Group executed an agreement to allow sharingof EIP payment data from Treasury with Census to conduct an analysis of recipient
demographics. Through another case study, National Oceanic and Atmospheric
Administration (NOAA), National Aeronautics and Space Administration (NASA),
Census, and Federal Emergency Management Agency (FEMA) are coordinating dataneeds to enable NOAA to more accurately explain social outcomes and climate impacts
on vulnerable communities and to allow FEMA to better understand the demographic
and economic characteristics of areas impacted by natural disasters.
The President’s Fiscal Year 23 budget request includes funding for the Census
Bureau to help social safety net and business assistance programs understand thedemographic characteristics of their participants, grantees, and customers so thatthey can increase equity and better understand how their programmatic and policy
decisions impact underserved communities.

Build Capacity for Robust Equity Assessment for Policymaking andProgram Implementation
Invest in the human capital necessary for equity assessment
Agency consultations revealed a particular absence in capacity to design and conductrobust equity assessments. Agencies need to build the statistical, data science, andevaluation capacity necessary for generating evidence-based policy consistent with
the Evidence Act. Such expertise is vital for programs to conduct equity assessments
but is currently limited within the federal government. Resources will be critical tobuilding this capacity.
Key Administration Actions
The President’s Fiscal Year 23 budget request includes funding for: the Internal
Revenue Service to hire staff to conduct analysis on equity-related policy issues andsupport the Department’s equity goals, including impact measurement on sociallyand economically disadvantaged and Tribal communities; the Veterans Benefits
Administration to promote greater equity in service delivery by hiring evaluation
analysts to assess potential disparities among veterans who have historically been
disadvantaged based on their race, ethnicity, gender identity or sexual orientation; andFEMA to bolster capacity to identify inequities and barriers to accessing benefits in theapplication process for disaster assistance.

Use recovery and infrastructure initiatives to institutionalize expectations
for assessing equity
The Administration encouraged the use of American Rescue Plan (ARP) funds,
where allowable, to support state, local, territorial, and Tribal data infrastructure,

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupKey Recommendations

and expanded reporting requirements for disaggregated data collection across key
programs. Bipartisan Infrastructure Law (BIL) funding and activities, consistent withstatutory language, should also be used to build equitable data collection, evaluation,
and analysis infrastructure. Such capabilities are critical for ensuring that projects
benefit underserved communities and create opportunities for workers who have beensystemically excluded from such employment opportunities in the past.
Key Administration Actions
ARP funds have been used to support data infrastructure across several programs,
but most notably Treasury’s $350 billion Coronavirus State and Local Fiscal Recovery
Fund. Treasury, through its Final Rule for the State and Local Fiscal Recovery Fund,clarified that recipients may use funds for administrative costs to support program
evaluation, data, and outreach. This use includes a range of eligible investments, suchas program evaluation and evidence resources; data analysis resources to gather,assess, share, and use data; and community outreach and engagement activities.
Through $260 million in grant funding from ARP, DOL is awarding grants to state
governments for activities that promote equitable access to Unemployment Insurance(UI) programs, including expanding and improving collection of demographic data.
Covered activities include the creation of new measures of program access, such as
application rates, recipiency rates, and timeliness of benefit receipt, by demographic
subgroups, such as race, ethnicity, gender, age, and geography.
The Administration’s Justice40 Initiative aims to provide 40 percent of the overall
benefits of certain Federal investments, such as those related to climate and clean
energy to disadvantaged communities. As such, programs—including many in BIL—
will use the recently released Climate and Economic Justice Screening Tool to identify
disadvantaged communities that are marginalized, underserved, and overburdenedby pollution. Similarly, BIL will also enable NOAA to improve and significantly expand
equitable access to weather and climate prediction capabilities and services andenhance coastal resilience.
Additionally, the Administration has worked to ensure disaggregated demographic
data collection, where possible, across critical ARP-funded programs. For instance,
programs such as the State Small Business Credit Initiative, Emergency Rental
Assistance, the Low Income Home Energy Assistance Program, and SBA’s Community
Navigators, among several others, have expanded or established new reporting
requirements for grantees to understand how historically underserved communities
and populations are accessing resources.

9A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupKey Recommendations

Galvanize Diverse Partnerships Across Levels of Government and the
Research Community
Facilitate increased federal-state-local data sharing
Federal collaborations with state, local, territorial and Tribal governments can yieldhigh quality demographic data when all partners see value in its collection anduse. Federated social safety net programs should consider how to incentivize andsupport their state partners to collect and analyze disaggregated demographic data,
beyond just requiring its collection. They should equally ensure that those data areappropriately protected to avoid harm, including inadvertent disclosure, and that suchcollection does not discourage program participation.
Key Administration Actions
DOL has released a funding opportunity for state governments to participate in an
Unemployment Insurance (UI) Navigator Program, through which community-basedorganizations will partner with state UI agencies to help underserved communities
access the UI program and also regularly report on the barriers they observe to state
UI agencies and DOL. In addition, participating states will share UI program data with
DOL to generate equity indicators that can inform the work of community-basedorganizations, including outreach, education, and assistance efforts.
On December 15, 2021, NOAA announced the winners of its climate competition
within the Open Data for Good Grand Challenge, which is part of The Opportunity
Project, run by the Census Bureau. The purpose of the competition was to accelerate
the production of new digital tools to help local decision-makers use federal data for
improved climate resilience planning.

Expand opportunities for historically underrepresented scholars
It is critical that a diverse and inclusive range of researchers be able to conduct theirown equity analyses and contribute to government equity efforts. Grants should bemade to increase technical support and more structured funding opportunities for adiverse range of scholars, including those at Historically Black Colleges and Universities(HBCUs) and other Minority-Serving Institutions (MSIs).
Key Administration Actions
Two initiatives in the President’s Fiscal Year 23 budget request that are relevant here are:funding for the Census Bureau to support scholars studying marginalized populations
by alleviating costs and bolstering institutional research, including through theprovision of virtual access to statistical data and collaboration with stakeholders fromunderrepresented groups such as researchers at HBCUs and other MSIs; and funding
for the National Science Foundation’s new Growing Research Access for Nationally

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupKey Recommendations

Transformative Equity and Diversity (GRANTED) to reduce barriers to competitivenessby supporting MSIs in research administration and post-award management, as wellas the implementation of effective practices for competitive proposal development,
through mechanisms such as research-coordination networks and institutional
partnership grants, ideas labs, and research enterprise hubs in different geographic
regions. The Department of Energy has announced $102 million in funding and supportfor HBCUs and other MSIs as foundations for world-class talent in the fields ofScience, Technology, Engineering and Math (STEM).

Be Accountable to the American Public
Increase transparency about progress toward serving underserved
populations
Civil society organizations should be able to use government data to hold thegovernment accountable for delivering benefits and services to all communities.
Section 5 of the Equity EO focuses on equity assessment, but at the current time,
there is not a government-wide approach to providing statistics to the public that
demonstrate progress in increasing equity.
Key Administration Actions
The President's FY23 budget request includes funding for institutional capacity to
expand engagement with historically underrepresented and underserved groups anddevelop actionable goals to advance equity.
The Department of Labor (DOL) commissioned and published two new studies
documenting inequalities in access to UI benefits, including during the COVID-19
pandemic, as well as what the data can tell us about the obstacles that different
populations encounter in accessing these benefits in a timely manner.

Build data access tools that are user-friendly
Consistent with Executive Order 13571, conducting robust customer experience
research on accessing and using federal data in order to identify best practices andtools (such as dashboards, query systems, and visualizations) is essential to ensure
meaningful community access across the data literacy spectrum.
Key Administration Actions
The President’s FY23 budget request includes funding for NASA, in coordination
with other agencies and partners, to develop an Earth Information Center as partof a renewed emphasis on providing actionable Earth science data and information
to a broad range of users with a goal of making data more accessible and useable
to federal, state, local, territorial and Tribal governments, researchers, community
organizations, and the general public.

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupKey Recommendations

In addition, the President’s FY23 budget request includes funding for the Census
Bureau to develop and host data equity tools (developed in collaboration withagencies and stakeholders) and for the NCHS to enhance the value of health data tocommunities through improved visualization and presentation tools. An example ofsuch a tool is the Census’ Community Resilience Estimates, which provide an easily
understood metric for how vulnerable every neighborhood in the United States is to theimpacts of disasters, including COVID-19.

We look forward to continuing the work of the Equitable Data Working
Group to implement these recommendations, develop further thinking
on these important issues, and engage with the broader community of
advocates, scholars, and scientists to advance a long-term vision forequity, data, and policymaking.
Actions to make progress toward the vision for equitable data will bedone in collaboration with, and be supportive of, related federal efforts,
including those pursued by the Gender Policy Council—including
implementation of the first-ever national gender strategy—and
WHIAANHPI, as well as work underway to improve data collection related
to achieving the President’s scientific integrity and evidence-based
policymaking, health equity, environmental justice, and federal diversity,
equity, inclusion and accessibility commitments.

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupAppendix A: Working Group Membership
Working Group membership was designed around types of expertise
rather than agency representation. The Equity EO mandated theWorking Group’s initial membership include the Federal Chief
Information Officer (CIO), the US Chief Statistician, the US Chief Data
Scientist, Administrator of the U.S. Digital Service, Chair of Council
on Economic Advisors, Director of the U.S. Census Bureau, and theAssistant Secretary of the Treasury for Tax Policy.
Per the Equity EO, the Working Group membership includes:•

Margo Schwab, co-Chair, PhD
chosen by OMB to bring theperspective of the Chief Statisticianof the United States;•

Martha Gimbel and later Damon
Jones, PhD were chosen by theCouncil on Economic Affairs to
represent their Chair;•

Alondra Nelson, co-Chair, PhD
chosen by OSTP to bring theperspective of the Chief Technology
Officer and Chief Data Scientist of
the United States;•

Parth A. Tikiwala, MBA was chosen
by OMB to represent the Federal
CIO;•

Lily Batchelder, JD/MPP, as
Assistant Secretary of the Treasury
for Tax Policy of the United States
Treasury Department; and•Amy Paris was designated as the
USDS representative.

•

Danny Yagan, PhD was chosen by
OMB to represent the OMB Director;•

Ron Jarmin, PhD, as Acting Directorof the US Census Bureau;This group was joined by members of the Domestic Policy Council, in fulfillment of
its coordination role, and collectively referred to as the “Steering Committee.” Overtime, senior officials from other agencies joined the Steering Committee becauseof the intersection between their work and the Working Group’s activities, including
representatives from the Department of Labor, the US Department of Agriculture,
the Department of Commerce, the Department of Transportation, the Office of the
US Trade Representative, the National Aeronautics and Space Administration, the US
Equal Employment Opportunity Commission, the Federal Emergency Management
Agency, as well as representatives from other Executive Office of the President
engaged in the implementation of related executive orders including the Gender Policy
Council, the Asian American, Native Hawaiian and Pacific Islander Senior Liaison, andthe Office of National Drug Control Policy.

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupAppendix B: External Engagement
The Equity EO highlights the importance of consultation andengagement with the public, including members of underserved
communities, as part of the equitable data policy process. To that end,
the Working Group held sessions to seek input from a wide range oforganizations representing underserved groups (see list below). The
Working Group also received over 200 comments in response to an OMB
Request for Information (RFI) about how federal data could be improved
and leveraged to advance equity.
Meetings with Civil Society and the Research Community:•

AAPI Data•

Center for American Progress•

Advancement Project••

American Economic Association(AEA)

Congressional Asian Pacific
American Caucus (CAPAC)•

COVID-19 Health Equity Task Force•

American Statistical Association
(ASA)

•

DataedX•

Anchor Collaborative

•

Demos

•

Arab Community Center for
Economic and Social Services(ACCESS)•

Equitable Growth

•

Esri

•

Faith in Action

Asian & Pacific Islander American
Health Forum (APIAHF)•

Girls for Gender Equity•

Grantmakers for Girls of Color•

Asian Americans Advancing Justice- AAJC•

Gulf Coast Center for Law & Policy(GCCLP)•

Association of Asian Pacific
American Health Organizations•

In Our Own Voice•

Association of Population Centers•

Institute for Women’s Policy
Research•

Black Women’s Roundtable•

Latina Institute•

Catalyst Miami•

Legal Momentum•

Casey Family Programs•

Ms. Foundation•

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A Vision for Equitable Data – Recommendations from the Equitable Data Working GroupAppendix B: External Engagement•

National Asian Pacific American
Women’s Forum (NAPAWF)•

National Assembly of American
Slavery Descendants (NAASD)•

National Association for the
Advancement of Colored People(NAACP)•

National Association of Latino
Elected and Appointed Officials(NALEO) Educational Fund•

National Congress of American
Indians•

National Council of Asian Pacific
Americans•

National Crittenton•

National Urban League•

National Women’s Law Center•

NIH Sexual and Gender Minority
Research Coordinating Committee•

Pew Research Center•

Population Association of America•

Race Forward•

She the People•

South Asian Americans Leading
Together•Southeast Asia Action Resource
Center•

The Leadership Conference on Civil
and Human Rights•

UNIDOS US•

Urban Institute•Williams Institute•

Women’s Funding Network

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