Opportunity Information: Apply for 19 575
The National Science Foundation (NSF) Methodology, Measurement, and Statistics (MMS) Program is a discretionary grant opportunity housed within NSF's Directorate for Social, Behavioral, and Economic Sciences. Its main purpose is to fund research that advances the core tools used across the social, behavioral, and economic sciences, especially new or improved analytical methods, statistical techniques, and measurement models. The program is explicitly interdisciplinary, meaning it is looking for methodological work that can travel across multiple fields rather than solutions that only fit a single narrow topic area.
A central theme of the MMS opportunity is innovation that is still anchored in theory. In practice, that means proposals are expected to do more than apply existing methods to a new dataset; they should introduce, extend, or rigorously evaluate methodologies in a way that strengthens how researchers design studies, measure concepts, analyze data, and draw valid conclusions. The program emphasizes broad utility, so competitive projects typically show how a new approach could be adopted in more than one domain within the social, behavioral, or economic sciences, or how it could improve common research workflows such as survey design, causal inference, modeling complex behavior, handling missing or biased data, or integrating multiple data sources.
Within its broader portfolio, MMS also supports work connected to official statistics. NSF notes that the program partners with a consortium of federal statistical agencies, reflecting an interest in research that improves the production, quality, interpretation, and practical use of government statistics. This can include methods that make large-scale data collection more reliable, enhance estimation and modeling used in official reporting, reduce measurement error, improve privacy protection while maintaining data utility, or strengthen how administrative and survey data are combined and analyzed for public-facing statistical products.
The solicitation supports several distinct funding mechanisms. It includes Regular Research Awards for standard research projects, as well as awards for conferences and community-development activities that build shared infrastructure for the field (for example, convenings that set methodological research agendas, develop standards, or expand access to tools and training). It also includes Doctoral Dissertation Research Improvement (DDRI) Grants, which are designed to enhance dissertation research through targeted resources that improve the scope or quality of a doctoral project. In addition, MMS offers Research Experiences for Undergraduates (REU) Supplements, which typically provide add-on support to involve undergraduate students in NSF-funded research, expanding training and workforce development in advanced methodology and statistics.
MMS also supports Faculty Early Career Development (CAREER) awards, though CAREER has its own separate program requirements and guidance through the NSF CAREER program website. This signals that early-career faculty whose research and education plans align with MMS priorities may be able to pursue that larger, career-focused mechanism in addition to the options explicitly listed in the MMS solicitation.
From the source details provided, this opportunity is listed under Funding Opportunity Number 19-575 and is categorized as a grant in the Science and Technology and other Research and Development area, associated with CFDA number 47.075. NSF anticipated around 35 awards, and the listed award ceiling is shown as 0, which generally indicates that a fixed maximum is not specified in the summary record and applicants should rely on the full solicitation or program guidance for budget expectations. The opportunity was created on April 10, 2019, and the original closing date was August 29, 2019. Eligibility is labeled broadly as "Others" with clarification referenced in an additional eligibility field, which typically means applicants should consult the full solicitation text to confirm which organizations and applicant types are allowed (for example, universities, nonprofit research organizations, or other eligible institutions depending on NSF rules and this program's specifics).Apply for 19 575
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Methodology, Measurement, and Statistics" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.075.
- This funding opportunity was created on Apr 10, 2019.
- Applicants must submit their applications by Aug 29, 2019. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The number of recipients for this funding is limited to 35 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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FAQs: NSF Methodology, Measurement, and Statistics (MMS) Program (Funding Opportunity Number 19-575)
What is the NSF Methodology, Measurement, and Statistics (MMS) Program?
The Methodology, Measurement, and Statistics (MMS) Program is a discretionary grant opportunity within the National Science Foundation (NSF) Directorate for Social, Behavioral, and Economic Sciences. It funds research that advances the core methodological and statistical tools used across the social, behavioral, and economic sciences.
What is the main purpose of the MMS Program?
The main purpose is to support research that introduces, improves, or rigorously evaluates analytical methods, statistical techniques, and measurement models that strengthen how researchers design studies, measure concepts, analyze data, and draw valid conclusions.
What kinds of research does MMS prioritize?
MMS prioritizes methodological innovation that is anchored in theory. Competitive projects typically go beyond applying existing methods to a new dataset and instead propose new methods, extend existing approaches, or provide rigorous evaluations that improve research practice across multiple domains.
Does MMS fund projects that only apply existing methods?
Based on the program description, MMS expects proposals to do more than apply existing methods to a new dataset. The emphasis is on introducing, extending, or rigorously evaluating methodology in a way that improves research validity and workflow across the social, behavioral, and economic sciences.
Is the MMS Program interdisciplinary?
Yes. The program is explicitly interdisciplinary and looks for methodological work that can travel across multiple fields rather than solutions that only fit a single narrow topic area.
What does "broad utility" mean in the MMS context?
Broad utility refers to methods or measurement advances that can be adopted in more than one area within the social, behavioral, or economic sciences, or that improve common research workflows used widely across those fields.
What are examples of research workflows MMS is interested in improving?
The opportunity description highlights workflows such as survey design, causal inference, modeling complex behavior, handling missing or biased data, and integrating multiple data sources.
Does MMS support research connected to official statistics?
Yes. MMS supports work related to official statistics and notes partnerships with a consortium of federal statistical agencies. This indicates interest in methods that improve the production, quality, interpretation, and practical use of government statistics.
What kinds of official statistics improvements are relevant to MMS?
Examples listed include methods to make large-scale data collection more reliable, enhance estimation and modeling used in official reporting, reduce measurement error, improve privacy protection while maintaining data utility, and strengthen approaches for combining and analyzing administrative and survey data for public-facing statistical products.
What funding mechanisms are included in this MMS opportunity?
The solicitation includes Regular Research Awards, conference and community-development awards, Doctoral Dissertation Research Improvement (DDRI) Grants, and Research Experiences for Undergraduates (REU) Supplements.
What are Regular Research Awards in this program?
Regular Research Awards support standard research projects that align with MMS priorities, such as advancing analytical methods, statistical techniques, and measurement models with broad applicability.
What types of conference and community-development activities are supported?
The program supports conferences and community-development activities that build shared infrastructure for the field, such as convenings that set methodological research agendas, develop standards, or expand access to tools and training.
What is a Doctoral Dissertation Research Improvement (DDRI) Grant under MMS?
MMS DDRI Grants are designed to enhance dissertation research by providing targeted resources that improve the scope or quality of a doctoral project, specifically in ways aligned with MMS methodological and statistical priorities.
What are REU Supplements in the MMS context?
Research Experiences for Undergraduates (REU) Supplements typically provide add-on support to involve undergraduate students in NSF-funded research, expanding training and workforce development in advanced methodology and statistics.
Does MMS support NSF CAREER awards?
MMS supports Faculty Early Career Development (CAREER) awards, but CAREER has separate program requirements and guidance through the NSF CAREER program. The MMS description indicates that early-career faculty whose plans align with MMS priorities may pursue CAREER in addition to the mechanisms listed in the MMS solicitation.
What is the Funding Opportunity Number for this solicitation?
The opportunity is listed under Funding Opportunity Number 19-575.
What is the CFDA number associated with this opportunity?
The opportunity is associated with CFDA number 47.075.
How is this opportunity categorized?
It is categorized as a grant in the Science and Technology and other Research and Development area.
How many awards did NSF anticipate making?
NSF anticipated around 35 awards based on the source details provided.
Is there a maximum award amount (award ceiling)?
The listed award ceiling is shown as 0, which generally indicates that a fixed maximum is not specified in the summary record. Applicants are expected to rely on the full solicitation or program guidance for budget expectations.
When was this opportunity created?
The opportunity was created on April 10, 2019.
What was the original closing date?
The original closing date was August 29, 2019.
Who is eligible to apply?
Eligibility is labeled broadly as "Others," with clarification referenced in an additional eligibility field. This typically means applicants should consult the full solicitation text to confirm eligible organizations and applicant types under NSF rules and this program's specifics.
Why does the eligibility field say "Others"?
In the provided summary, "Others" suggests the detailed eligibility rules are not fully captured in the brief record and are instead defined in the full solicitation or an additional eligibility field. Applicants should use the solicitation text to verify whether their institution type is eligible.
What characteristics tend to make an MMS proposal competitive (based on the description provided)?
The description emphasizes theory-anchored innovation, methodological contributions that generalize across multiple fields, and clear relevance to improving how researchers design studies, measure concepts, analyze data, and draw valid conclusions. Projects that demonstrate broad utility across social, behavioral, and economic sciences align with these priorities.
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