Measuring Public Health Grant Impact

Defining Research and Evaluation in the Context of NSF Grants The Research and Evaluation sector is a critical component of the National Science Foundation's (NSF) grant programs, particularly those focused on developing the workforce through science and engineering. Research and Evaluation in this context refer to the systematic investigation into and assessment of the effectiveness of projects, programs, or policies related to science, technology, engineering, and mathematics (STEM) education and workforce development. The NSF's Grants to Support Research in Developing Workforce Through Science and Engineering program specifically supports fundamental research projects that explore new areas or methodologies within engineering disciplines. Researchers looking to pivot into different research areas or those aiming to reestablish their research activities after a hiatus are particularly encouraged to apply. A concrete regulation that applies to this sector is the requirement to adhere to the NSF's Proposal and Award Policies and Procedures Guide (PAPPG), which outlines the necessary steps and considerations for proposal preparation, submission, and award administration. For instance, applicants must ensure their proposals comply with the PAPPG's requirements on data management and sharing, which includes developing a data management plan that outlines how the data will be managed, shared, and preserved.Concrete use cases include evaluating the effectiveness of STEM education programs, assessing the impact of workforce development initiatives, and researching innovative methodologies for STEM education. Researchers and evaluators from higher education institutions, non-profit organizations, and private sector entities are among those who should consider applying. However, individuals without a clear research or evaluation question, or those not aligned with the NSF's priorities, may not be suitable applicants. The NSF prioritizes research that is rigorous, relevant, and aligned with its strategic goals.## Trends and Shifts in Research and Evaluation for NSF Grants The landscape of Research and Evaluation in the context of NSF grants is influenced by several trends and policy shifts. There's a growing emphasis on interdisciplinary research, convergence, and the integration of multiple disciplines to tackle complex problems. The NSF has also been prioritizing research that addresses societal challenges, such as improving STEM education and workforce development. Capacity requirements for researchers and evaluators include having a strong background in research design, data collection and analysis, and the ability to communicate complex findings effectively. Moreover, the NSF's increasing focus on broader impacts means that applicants need to demonstrate not only the intellectual merit of their research but also its potential to benefit society. For example, researchers might need to develop partnerships with industry stakeholders or community organizations to ensure the broader impacts of their research are realized.The NSF's funding priorities also reflect a growing interest in innovative methodologies and technologies that can enhance research and evaluation practices. This includes the use of advanced data analytics, artificial intelligence, and machine learning. As a result, researchers and evaluators need to stay abreast of these developments and be prepared to incorporate them into their work. A significant delivery challenge in this sector is ensuring the rigor and validity of research findings, particularly in studies that involve complex systems or longitudinal designs. To overcome this challenge, researchers and evaluators must be skilled in a range of methodologies and be able to apply them appropriately.## Operational Considerations and Risk Management Operationally, Research and Evaluation projects face several challenges, including ensuring the quality of data, managing project timelines, and meeting the NSF's reporting requirements. Staffing requirements typically include a team with diverse skills, including research design, data analysis, and project management. Resource requirements can be significant, particularly for projects that involve large-scale data collection or complex analyses. Researchers and evaluators must also be aware of eligibility barriers, such as the requirement for a strong track record of research or evaluation, and compliance traps, including the need to adhere strictly to the NSF's guidelines and regulations. A verifiable delivery challenge unique to this sector is the need to balance the NSF's requirement for rigorous research with the practical constraints of conducting research in real-world settings.In terms of risk management, applicants must be aware of what is not funded by the NSF. For example, projects that are primarily focused on clinical or medical research are not eligible, as these are typically funded by other agencies such as the National Institutes of Health (NIH). The NSF also does not fund projects that lack a clear research or evaluation question or those that do not align with its strategic priorities. To mitigate these risks, applicants should carefully review the NSF's solicitation and ensure their proposal is well-aligned with the agency's priorities.Measurement and evaluation are critical components of NSF-funded Research and Evaluation projects. Required outcomes and KPIs often include the production of high-quality research findings, the development of new methodologies or tools, and the demonstration of broader impacts. Reporting requirements typically involve the submission of regular progress reports and a final project report. Researchers and evaluators must be prepared to track their progress against these outcomes and report on them as required. For instance, the NSF may require grantees to report on the number of publications resulting from the research, the number of students supported, or the impact of the research on STEM education or workforce development.Q: How does the NSF define broader impacts, and how can I ensure my research meets these criteria? A: The NSF defines broader impacts as the potential of the research to benefit society. To meet these criteria, researchers should consider how their work can be translated into practice or policy and be prepared to demonstrate this in their proposal. For example, researchers might develop partnerships with industry stakeholders or community organizations to ensure the broader impacts of their research are realized. The NSF also provides resources and guidance on broader impacts on its website, which can be a valuable resource for applicants.Q: What is the NSF's policy on data management and sharing, and how can I ensure compliance? A: The NSF requires applicants to develop a data management plan that outlines how the data will be managed, shared, and preserved. To ensure compliance, researchers should carefully review the NSF's data management policy and develop a plan that meets the agency's requirements. This may involve collaborating with data management experts or using established data repositories.Q: Can I apply for an NSF grant if I am not based in New Mexico, and are there any specific considerations I should be aware of? A: Yes, applicants from outside New Mexico can apply for NSF grants. However, they should be aware of the specific requirements and priorities outlined in the solicitation and ensure their proposal is well-aligned with the NSF's strategic goals. Applicants should also be aware of any additional requirements or considerations that may apply to their specific location or institution.