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1. Evaluating the NSF broader impacts with the Inclusion-Immediacy Criterion: A retrospective analysis of nanotechnology grants

   Woodson, Thomas ; Boutilier, Sophia ; Hoffman, Elina ( March 2021 , Technovation)

   null (Ed.)

   A major goal of government and non-profit scientific funding agencies is to support research and development (R&D) that has broad impacts. This study proposes a new framework, called the Inclusion-Immediacy Criterion (IIC), to determine whether research benefits marginalized communities, reduces inequality, and encourages inclusive innovation. To test the framework, the study analyzes NSF sponsored nanotechnology grant abstracts from 2013 to 2017. We find that 109 out of the 300 grants feature research and grant activities that are inclusive, while 235 out of the 300 grants have research and grant activities that either maintain the status quo or predominately target advantaged groups. Of the 109 grants with inclusive broader impacts, 9 of them involve inclusive research that is intrinsic to the underlying work. In comparison there are 102 grants that feature inclusive research that is directly related to the research. Of those 102 direct-inclusive grants, 99 of them relate to broadening participation of women and underrepresented minority populations is science fields. 

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2. From intent to impact—The decline of broader impacts throughout an NSF project life cycle

   https://doi.org/10.1093/reseval/rvac046  

   Woodson, Thomas ; Boutilier, Sophia ( January 2023 , Research Evaluation)

   It is important for funding agencies to evaluate if scientists accomplish their research goals. By comparing a representative sample of National Science Foundation abstracts and project outcome reports (PORs) from 2014 to 2017, this article investigates whether scientists attain the broader impacts they propose. We find that the number of broader impacts proposed in the abstracts is significantly higher than the number of broader impacts reported in the PORs. The trend is common across directorates and type of impact, except when impacts serve advantaged groups. Only the number of broader impacts for advantaged groups increases from the abstract to the POR. Despite the difference between proposed impact and reported impact, our study does not conclude that scientists are delinquent or disingenuous when they propose their research. Rather, we question the capacity of current frameworks to capture the quality of impacts and to weigh the relative importance of impacts that serve marginalized groups versus those that sustain the status quo.

    

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3. Increasing U.S. Competitiveness by Investing in Underrepresented, Entrepreneurial-Minded Postdocs in High-Tech Startups

   Ivanitzki, Teddy ; Johnson, Rashida ( October 2022 , International Association of Journals and Conferences (IAJC))

   IAJC panel (Ed.)

   Abstract Studies have shown that in the United States, women, Black, and Hispanic entrepreneurs are given a disproportionately tiny fraction of venture capital funding, especially when compared to their representation in the population. This investment discrepancy is not only socially unjust, but it also deprives the U.S. of the advantages in discovery and global competitiveness that could stem from these groups’ increased participation in innovative sectors. This is particularly true within transdisciplinary startups, like smart energy or nanomedical technologies, all of which require crossdisciplinary experts. Every new entrepreneur in these fields experiences challenges in finding adequate support. These challenges exist at a time in the 21st century when U.S. innovation is facing unprecedented pressures in competition for primacy. In 1960, the U.S. research and development (R&D) expenditure for defense and private industries was approximately 69 percent of global spending on R&D. In 2016, however, the U.S. share of global R&D expenditure had decreased to just 28 percent due to China’s substantial advances. If this trend continues, China’s R&D expenditure measured by GDP will outperform those of the U.S. by 2030. To ensure that the U.S. remains a world leader in R&D, the National Science Foundation (NSF) launched the Small Business Postdoctoral Research Diversity Fellowship (SBPRDF) followed by the Innovative Postdoctoral Entrepreneurial Research Fellowship (I-PERF). Both facilitate the professional development of underrepresented research fellows by offering them invaluable experience within research and technology companies. This paper provides a pathway for enhancing diversity in the startup and entrepreneurial landscapes, improving opportunities for researchers from underserved groups, and increasing the number of highly competent entrepreneurs within the U.S. STEM community. The startup companies involved in the program, which are also supported by the NSF, comprise a variety of new, mixed STEM fields that were unknown just a few decades ago. 

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4. Impacts Resulting from a Large-Scale First-Year Engineering and Computer Science Program on Students’ Successful Persistence Toward Degree Completion

   Ragusa, Gisele ; Allen, Emily L. ; Menezes, Gustavo B. ( June 2020 , ASEE Annual Conference Proceedings 2020)

   There is a critical need for more students with engineering and computer science majors to enter into, persist in, and graduate from four-year postsecondary institutions. Increasing the diversity of the workforce by inclusive practices in engineering and science is also a profound identified need. According to national statistics, the largest groups of underrepresented minority students in engineering and science attend U.S. public higher education institutions. Most often, a large proportion of these students come to colleges and universities with unique challenges and needs, and are more likely to be first in their family to attend college. In response to these needs, engineering education researchers and practitioners have developed, implemented and assessed interventions to provide support and help students succeed in college, particularly in their first year. These interventions typically target relatively small cohorts of students and can be managed by a small number of faculty and staff. In this paper, we report on “work in progress” research in a large-scale, first-year engineering and computer science intervention program at a public, comprehensive university using multivariate comparative statistical approaches. Large-scale intervention programs are especially relevant to minority serving institutions that prepare growing numbers of students who are first in their family to attend college and who are also under-resourced, financially. These students most often encounter academic difficulties and come to higher education with challenging experiences and backgrounds. Our studied first-year intervention program, first piloted in 2015, is now in its 5th year of implementation. Its intervention components include: (a) first-year block schedules, (b) project-based introductory engineering and computer science courses, (c) an introduction to mechanics course, which provides students with the foundation needed to succeed in a traditional physics sequence, and (d) peer-led supplemental instruction workshops for calculus, physics and chemistry courses. This intervention study responds to three research questions: (1) What role does the first-year intervention’s components play in students’ persistence in engineering and computer science majors across undergraduate program years? (2) What role do particular pedagogical and cocurricular support structures play in students’ successes? And (3) What role do various student socio-demographic and experiential factors play in the effectiveness of first-year interventions? To address these research questions and therefore determine the formative impact of the firstyear engineering and computer science program on which we are conducting research, we have collected diverse student data including grade point averages, concept inventory scores, and data from a multi-dimensional questionnaire that measures students’ use of support practices across their four to five years in their degree program, and diverse background information necessary to determine the impact of such factors on students’ persistence to degree. Background data includes students’ experiences prior to enrolling in college, their socio-demographic characteristics, and their college social capital throughout their higher education experience. For this research, we compared students who were enrolled in the first-year intervention program to those who were not enrolled in the first-year intervention. We have engaged in cross-sectional 2 data collection from students’ freshman through senior years and employed multivariate statistical analytical techniques on the collected student data. Results of these analyses were interesting and diverse. Generally, in terms of backgrounds, our research indicates that students’ parental education is positively related to their success in engineering and computer science across program years. Likewise, longitudinally (across program years), students’ college social capital predicted their academic success and persistence to degree. With regard to the study’s comparative research of the first-year intervention, our results indicate that students who were enrolled in the first-year intervention program as freshmen continued to use more support practices to assist them in academic success across their degree matriculation compared to students who were not in the first-year program. This suggests that the students continued to recognize the value of such supports as a consequence of having supports required as first-year students. In terms of students’ understanding of scientific or engineering-focused concepts, we found significant impact resulting from student support practices that were academically focused. We also found that enrolling in the first-year intervention was a significant predictor of the time that students spent preparing for classes and ultimately their grade point average, especially in STEM subjects across students’ years in college. In summary, we found that the studied first-year intervention program has longitudinal, positive impacts on students’ success as they navigate through their undergraduate experiences toward engineering and computer science degrees. 

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5. Inclusion of Underrepresented Entrepreneurial-minded Postdocs in High-tech Startups Increases U.S. Competitiveness

   https://doi.org/10.34297  

   Ivanitzki, T ; Johnson, R ; Levitin, R. ( October 2021 , American journal of biomedical science research)

   null (Ed.)

   Studies have shown that in the U.S., Black, Hispanic, and women entrepreneurs are given a tiny fraction of venture capital funding, which is vastly disproportionate to their representation in the population. This investment discrepancy is not only socially unjust, but it also deprives the U.S. of the advantages in innovation and global competitiveness that could stem from increasing the participation of these groups in innovative sectors. This is particularly true within transdisciplinary startups, including those focused on smart energy, biomedical, and nanomedical technologies, all of which require cross-disciplinary experts. Every new enterprise in these fields experiences challenges in finding adequate support. These challenges exist at a time in the 21st century when U.S. innovation is facing unprecedented pressures in competition for primacy. In 1960, U.S. R&D expenditure for defense and private industries was approximately 69 percent of global spending on R&D [1]; whereas in 2016, the U.S. share of global R&D expenditure had decreased to just 28 percent [2], due to China’s substantial advances in R&D. If this trend continues, both China’s GDP and R&D expenditure measured by GDP will outperform those of the U.S. by 2030 [3]. To ensure that the U.S. remains a world leader in R&D, the National Science Foundation (NSF) launched the Innovative Postdoctoral Entrepreneurial Research Fellowship (I-PERF) program. I-PERF facilitates the professional development of Black, Hispanic and female research fellows, who are typically underrepresented within STEM fields, by offering them invaluable experience within research and technology companies. The program’s goal is to enhance diversity in the startup and entrepreneurial landscapes, improve opportunities for researchers from underserved groups, and increase the number of highly competent entrepreneurs within the U.S. STEM community. The startup companies involved in the program, which are also supported by the NSF, comprise a variety of new, mixed STEM fields that were unknown just a few decades ago. 

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