Fors Marsh Group Issues Public Comment on FEMA Notice
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Introduction
In this response, FMG provides three recommendations that focus on ways that
Recommendation 1: Embed Equity and Climate Change within
The Foundations for Evidence-Based Policymaking Act (Evidence Act) charges federal agencies to be more proactive and transparent in their efforts to build an evidence base and use that evidence to make decisions. The Evidence Act places specific requirements on some federal agencies to name evidence officials and generate evidence products, namely the evidence-building plan, evaluation agenda, and capacity assessment. Researchers at
* General Question 1: Are there
* General Question 2: Are there
* Specific Question 1: Individual Assistance: Are there regulations and/or policies that act as a barrier to people of color and others who have been historically underserved, marginalized, and adversely affected by persistent poverty, inequality, and climate change?
* Specific Question 2: Are there measures
* Specific Question 3: National Flood Insurance Program: Are there regulations and/or policies that disincentivize purchasing flood insurance, particularly by lower-income communities, communities of color, and Tribal communities? Are there measures
* Specific Question 4: Are there measures
* Specific Question 5: Preparedness Grant Programs: Are there measures
In order for progress on equity and climate change to be meaningful it must be rooted in evidence-based practices that impact the Agency's desired outcomes. We recommend that
Step 1: Create a logic model that identifies specific equity and climate change outcomes
Once
In 2019, under contract with the National Assessments and Integration Division (NAID), FMG developed a logic model for the Homeland Security Grant Program, which has subsequently directed Homeland Security Grant Program (HSGP) research and evaluation activities. In a similar fashion,
Step 2: Incorporate equity and climate change objectives in the Agency Learning Agenda, Capacity Assessment, and Annual Evaluation.
The Evidence Act recommends a variety of products to ensure agencies are able to build the necessary infrastructure to use evidence in policy development; facilitate open government data; and integrate with the Federal Data strategy. Using the logic model as a foundation,
1. Learning Agenda: a systematic plan for identifying and addressing policy questions relevant to the programs, policies, and regulations of the agency.
2. Capacity Assessment: gauge an agency's ability and infrastructure to conduct evidence-building activities like foundational fact finding, performance measurement, policy analysis, and program evaluation.
3. Evaluation Plan: describes the evaluation activities an agency plans to conduct that align with the long-term strategy defined in the Learning Agenda.
4. Data Plan: describes how an agency plans to increase open access to data while strengthening privacy and security regulations.
Learning Agenda
Of particular relevance to addressing DEI and climate change is the
Of course, to answer these questions,
In 2019, under contract with the National Assessments and Integration Division (NAID), FMG developed a logic model for the Homeland Security Grant Program, which has subsequently directed Homeland Security Grant Program (HSGP) research and evaluation activities. In a similar fashion,
Step 2: Incorporate equity and climate change objectives in the Agency Learning Agenda, Capacity Assessment, and Annual Evaluation.
The Evidence Act recommends a variety of products to ensure agencies are able to build the necessary infrastructure to use evidence in policy development; facilitate open government data; and integrate with the Federal Data strategy. Using the logic model as a foundation,
1. Learning Agenda: a systematic plan for identifying and addressing policy questions relevant to the programs, policies, and regulations of the agency.
2. Capacity Assessment: gauge an agency's ability and infrastructure to conduct evidence-building activities like foundational fact finding, performance measurement, policy analysis, and program evaluation.
3. Evaluation Plan: describes the evaluation activities an agency plans to conduct that align with the long-term strategy defined in the Learning Agenda.
4. Data Plan: describes how an agency plans to increase open access to data while strengthening privacy and security regulations.
Learning Agenda
Of particular relevance to addressing DEI and climate change is the
Of course, to answer these questions,
In 2020, FMG worked with NAID to develop the HSGP Grant Effectiveness Data Roadmap, which identified specific research questions that address learning priorities and that, when answered, would provide necessary evidence to inform grant investments and improve program outcomes. In addition to the learning agenda, the Roadmap also articulated the ideal state of grant effectiveness evaluation, discussed the associated capacity, cultural, data, and technical challenges associated with achieving it, and proposed solutions to begin addressing those challenges. Similarly,
Capacity Assessment
In addition to assessing the topics listed above,
Evaluation Plan
Completion of an equity- and climate change-focused Evidence Act strategy will result in an evaluation plan that explicitly addresses these priorities. Through the consistent evaluation and reporting on equity and climate change goals,
Recommendation 2: Assess and apply existing data to conduct research on effective practices for advancing equity and promoting climate change resilience.
Assess current data landscape
There is currently little
2. Scan available datasets across the Federal government for sources that capture equity and climate change-related concepts
Title II of the Evidence Act encourages open sharing of data across the Federal government. By assessing data from other agencies,
3. Assess
Not all relevant data may be appropriate for use with
4. Identify gaps in the landscape to inform data collection modifications or new data collections
While we believe
5. Determine what
Addressing data sharing is a recommendation aligned with Title II of the Evidence Act and that supports the goals of advancing equity. By ensuring that all non-confidential data is made available to the public,
Apply existing data to conduct research
Once
Table 1: Example Analyses Using FEMA and SVI Data
Conduct statistical analysis using the SVI in conjunction with grant activities data to determine whether community demographics are predictive of grant fund allocations.
Combine data from the SVI and grant activities data to identify trends in grant investments and determine to what extent grant dollars are administered to underserved communities.
Combine SVI data with IA and PA data to better understand how disaster funds are allocated to underserved individuals and communities.
Conduct statistical analysis to determine whether demographic characteristics of
Combine SVI data with FIMA flood insurance data to understand how flood risk affects underserved communities and how flood insurance and other resources reach these communities.
Compare SVI data against publication order data from Ready and ICPD to review how materials are (or are not) reaching the most vulnerable communities, through zip-code level analysis.
Compare SVI data against
We recommend that in addition to pursuing these research questions,
Recommendation 3: Incorporate more varied stakeholder input into risk and capability assessments.
Achieving equity in emergency management cannot be limited to equitable distribution of grant dollars. Rather,
To address these changing hazards,
One way
For example,
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The notice can be viewed at: https://www.regulations.gov/document/FEMA-2021-0011-0001
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