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Researchers at UNIVERSITY developed, piloted, and examined a community-engaged STEM learning environment at a university in Indiana. This summer, the MODEL developed from this pilot was adapted and replicated at two other universities. Over 50 students (high school and college) participated in the three regions in the Midwest in a community-engaged internship experience during the summer of 2022. Students worked on project teams of 4-6 students on a community-identified project for 8 weeks. Local high school teachers managed projects and community partners served as technical mentors as students completed their paid internship, which culminated with a formal presentation and product to their community partner. The larger research effort uses mixed-methods data collection, including surveys and interviews, to examine a variety of outcomes, including dispositional changes in STEM self-efficacy and identity. Students completed surveys and reflections at multiple points throughout their internship, including a retrospective pre/post survey capturing dispositional shifts during the experience The results of the internship experience on student intern participants' educational and professional plans at the 3 sites are evaluated in this paper. Results show significant gains on items related to professional discernment (desire to work in a STEM field, use technical skills, on open-ended problems for the betterment of society) for participants at all sites. 

Community-based research (CBR) is a practice that engages researchers in collaborative, change-oriented, and inclusive projects in the community. One common example of CBR is university-community collaboration in which students and researchers come up with ideas, perspectives, and knowledge at each stage of the project with the goal to address community needs. The community is mainly involved in identifying the research questions for the projects and making decisions about how the results of the research-focused projects will be implemented. This paper presents a replication of a model focused on university-community collaboration, student engagement and Science, Technology, Engineering, and Math (STEM) attraction and retention using three research-focused projects addressing community needs. The three projects are (1) empathic design project aimed at improving quality greenspaces and pedestrian streetscape experience, (2) food justice project to study the disparities in food access between local regions, and (3) analyzing water quality in a local creek. The projects provided a unique opportunity for students to directly experience and contribute to the research process. In addition, students worked closely with their academic peers and community partners who served as collaborators and mentors. The study reports on the impact of the program on student learning and tendency to stay back in the community. The program's collaborative nature and its effect on students' satisfaction while working on specific projects are also examined. Furthermore, the program helped develop and sustain university-community partnerships. The community stakeholders participating in focus groups were satisfied with the process of identifying community projects and also expressed their satisfaction with the students’ work. 

Community-based research (CBR) is a practice that engages researchers in collaborative, change-oriented, and inclusive projects in the community. One common example of CBR is university-community collaboration in which students and researchers come up with ideas, perspectives, and knowledge at each stage of the project with the goal to address community needs. The community is mainly involved in identifying the research questions for the projects and making decisions about how the results of the research-focused projects will be implemented. This paper presents a replication of a model focused on university-community collaboration, student engagement and Science, Technology, Engineering, and Math (STEM) attraction and retention using three research-focused projects addressing community needs. The three projects are (1) empathic design project aimed at improving quality greenspaces and pedestrian streetscape experience, (2) food justice project to study the disparities in food access between local regions, and (3) analyzing water quality in a local creek. The projects provided a unique opportunity for students to directly experience and contribute to the research process. In addition, students worked closely with their academic peers and community partners who served as collaborators and mentors. The study reports on the impact of the program on student learning and tendency to stay back in the community. The program's collaborative nature and its effect on students' satisfaction while working on specific projects are also examined. Furthermore, the program helped develop and sustain university-community partnerships. The community stakeholders participating in focus groups were satisfied with the process of identifying community projects and also expressed their satisfaction with the students’ work. 

In our highly mobile and global economy, STEM-related employment is key to stabilizing and rebuilding our middle class. Attrition in STEM fields, however, is disproportionately high at all educational levels for women, African Americans, Latinos, and people from low-income families. Compounding these challenges, many places in the United States struggle more than others to attract, develop, and retain STEM skills in their workforce. These cities often have poverty rates double the national average, lower educational attainment, and larger percentages of those underrepresented in STEM. So, while attraction, motivation, and retention in STEM disciplines are a national imperative, their importance within these regions is particularly acute. This poster and paper present the findings from the replication of a community-engaged educational ecosystem – as a STEM learning ‘commons’ – for delivering integrated high-impact pedagogical practices as a paid internship. The initial pilot that informs this replication effort targeted challenges with which many deindustrialized cities struggle – STEM knowledge and skills, talent retention, workforce readiness, and community engagement and vitality. The multi-year study uses a convergent mixed-methods design and collects qualitative and quantitative data throughout the summer immersion. Using data from the pilot site and the first year of the two replication sites, this poster and paper will focus on quantitative findings on a few key areas – including self-efficacy in STEM and place attachment as intermediate metrics toward the goal of rebuilding Midwestern cities. 

The implications of cumulative land-use decisions and shifting climate on forests, require us to integrate our understanding of ecosystems, markets, policy, and resource management into a social-ecological system. Humans play a central role in macrosystem dynamics, which complicates ecological theories that do not explicitly include human interactions. These dynamics also impact ecological services and related markets, which challenges economic theory. Here, we use two forest macroscale management initiatives to develop a theoretical understanding of how management interacts with ecological functions and services at these scales and how the multiple large-scale management goals work either in consort or conflict with other forest functions and services. We suggest that calling upon theories developed for organismal ecology, ecosystem ecology, and ecological economics adds to our understanding of social-ecological macrosystems. To initiate progress, we propose future research questions to add rigor to macrosystem-scale studies: (1) What are the ecosystem functions that operate at macroscales, their necessary structural components, and how do we observe them? (2) How do systems at one scale respond if altered at another scale? (3) How do we both effectively measure these components and interactions, and communicate that information in a meaningful manner for policy and management across different scales?