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resource research Public Programs
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
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TEAM MEMBERS: Caren Cooper Monica Ramirez-Andreotta Valerie Johnson Russ Schumacher Chad Wilsey Gregoriah Hartman Noah Newman
resource research Exhibitions
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
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TEAM MEMBERS: Charlotte Vaughn Deanna Gagne Yi Ting Huang Patrick Plummer
resource research Public Programs
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
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resource evaluation Informal/Formal Connections
This summary brief captures highlights from the second year of the NSF-funded WaterMarks project. The technical evaluation report for this same project period can be found on the main project page. The purpose of this document is to communicate key updates (as observed by the evaluation team) in a less technical way with the many different audiences who have an interest in keeping up with WaterMarks.
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TEAM MEMBERS: Donnelley (Dolly) Hayde Laura Weiss Justin Reeves Meyer
resource evaluation Informal/Formal Connections
This is the evaluation report for the second year of the NSF-funded WaterMarks project. It reflects a current summary of available evidence about the intended outcomes of program activities to date, as well as commentary on how the project is using (or could use) this information moving forward.
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TEAM MEMBERS: Donnelley (Dolly) Hayde Laura Weiss Justin Reeves Meyer
resource evaluation Informal/Formal Connections
This document is the final evaluation report for the project, which focuses both on formative evaluation of the collaborative+interdisciplinary presentation creation process and summative evaluation of audience learning outcomes. 
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TEAM MEMBERS: Justin Reeves Meyer Donnelley (Dolly) Hayde Laura Weiss
resource evaluation Exhibitions
We examined an approach to reaching audiences who may not ordinarily engage with science. Termed Guerilla Science, this approach blends elements of access, by removing barriers to participation by embedding science into unexpected places, with those of inclusion, by designing activities that speak to the learning identities of participants.
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resource evaluation Informal/Formal Connections
This summary brief captures highlights from the evaluation report for the first year of the NSF-funded WaterMarks project (also available on this page). The purpose of this document is to communicate key updates from evaluation in a less technical way with the many different audiences who have an interest in keeping up with WaterMarks.
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TEAM MEMBERS: Donnelley (Dolly) Hayde Laura Weiss Justin Reeves Meyer
resource evaluation Informal/Formal Connections
This is the evaluation report for the first year of the NSF-funded WaterMarks project. It reflects an initial summary of available evidence about the intended outcomes of program activities to date, as well as commentary on how the project is using (or could use) this information moving forward. This report contains descriptions of embedded measures (i.e. anonymized drawings and reflections captured on a thematic postcard) included in community walks and analyses of secondary data (i.e., interviews conducted by other members of hte project team), as well as reflections emerging from the
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TEAM MEMBERS: Donnelley (Dolly) Hayde Laura Weiss Justin Reeves Meyer
resource project Public Programs
Stark inequities evident in the low representation of Black women in Science, Technology, Engineering, Mathematics, and Medicine (STEMM) careers persist despite considerable investment in the diversification of the education-to-workplace STEMM pipeline. College participation rates of Black women measure 4-5% of all degrees in biological and physical sciences, 2-3% of degrees in computer science and math, and roughly 1% in engineering. Ultimately, Black women make up only 2.5% of the workforce in STEMM-related fields, indicating that they chronically experience stalled professional advancement. Because there are so few longitudinal studies in either formal or informal settings, educators and researchers lack critical insights into why BA/BS credentialed Black women drop out of STEMM careers at high rates upon entering the workforce. This Research in Service to Practice project will conduct a longitudinal examination of key professional outcomes and life trajectories among adult Black women who enrolled Women in Natural Sciences (WINS), a 40-year-old out-of-school time (OST) high school STEM enrichment program. Prior research on WINS documents that alumnae outperform national averages on all metrics related to STEMM advancement up through college graduation. This study will test the hypothesis that such success continues for these cohorts as they pursue life goals and navigate the workforce. Findings from this study will promote the progress of science, pivotal to NSF’s mission as the project builds knowledge about supportive and frustrating factors for Black women in STEMM careers. Strategic impact lies in the novel participant-centered research methods that amplify Black women’s voices and increase both accuracy and equity in informal STEM learning research.

This research probes the experiences of Black women at a critical phase of their workforce participation when BS/BA credentialed WINS alumnae establish their careers (ages 26-46). The team will conduct a longitudinal comparative case study of outcomes and life trajectories among 20 years of WINS cohorts (1995-2015). Research questions include (1) What do the life-journey narratives of WINS alumnae in adulthood reveal about influential factors in the socio-cultural ecological systems of Black women in STEMM? (2) What are the long-term outcomes among WINS women regarding education, STEMM and other careers, socio-economic status, and STEMM self-efficacy and interest? How do these vary? (3) What salient program elements in WINS are highlighted in alumnae narratives as relevant to Black women’s experiences in adulthood? How do these associations vary? (4) How do selected outcomes (stated in RQ2) and life story narratives among non-enrolled applicants compare to program alumnae? and (5) How do salient components in the WINS program associate with socio-cultural factors in regard to Black women’s careers and other life goals? Participants include 100 Black WINS alumnae as an intervention group and a matched comparison group of 100 Black women who successfully applied to the WINS program but did not or could not enroll. Measurable life outcomes and life trajectory narratives with maps of experiences from both groups will be studied via a convergent mixed methods design inclusive of quantitative and qualitative analyses. Comparisons of outcomes and trajectories will be made between the study groups. Further, associations between alumnae’s long-term outcomes and how they correlate their WINS experiences with other socio-cultural factors in their lives will be identified. It is anticipated that findings will challenge extant knowledge and pinpoint the most effective characteristics of and appropriate measures for studying lasting impacts of OST STEMM programs for Black women and girls. The project is positioned to contribute substantially to national efforts to increase participation of Black women in STEMM.
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TEAM MEMBERS: Ayana Allen-Handy Jacqueline Genovesi Loni Tabb
resource project Media and Technology
Data is increasingly important in all aspects of people’s lives, from the day-to-day, to careers and to civic engagement. Preparing youth to use data to answer questions and solve problems empowers them to participate in society as informed citizens and opens doors to 21st century career opportunities. Ensuring equitable representation in data literacy and data science careers is critical. For many girls underrepresented in STEM, developing a "data science identity" requires personally meaningful experiences working with data. This project aims to promote middle school-aged girls’ interest and aspirations in data science through an identity-aligned, social game-based learning approach. The goals are to create a more diverse and inclusive generation of data scientists who see data as a resource and who are equipped with the skills and dispositions necessary to work with data in order to solve practical problems. The research team will run 10 social clubs and 10 data science clubs mentored by women in data science recruited through the University of Miami’s Institute for Data Science and Computing. Participants will be 250 middle school-aged girls recruited in Miami, FL, and Yolo County, CA, through local and national girls’ organizations. Youth will participate in a data science club and will learn key data science concepts and skills, including data structures, storage, exploration, analysis, and visualization. These concepts will be learned from working with their own data collected in personally meaningful ways in addition to working with data collected by others in the same social game eco-system. The project will also develop facilitator materials to allow adult volunteers to create game-based informal data science learning experiences for youth in their areas. The project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments and is co-funded by the Innovative Technology Experiences for Students and Teachers (ITEST), which seeks to engage underrepresented students in technology-rich learning environments, including skills in data literacy, and increase students’ knowledge and interest in information and communication technology (ICT) careers.

Researchers will focus on two primary research questions: 1) Across gameplay and club experiences, in what ways do participants engage with data to pursue personal or social goals? 2) How do gameplay and club experiences shape girls’ perceptions of data, data science, and their fit with data and data science? The project will use design-based research methods to iteratively design the game and social club experiences. To ensure that uses of data feel personally and socially meaningful to young girls, the virtual world’s goals, narratives, and activities will be co-designed with girls from groups underrepresented in data science. The project will research engagement with game data in two informal, game-based learning scenarios: organic, self-directed, social play club, and structured, adult-facilitated data science clubs. The research will use a combination of quantitative and qualitative methods including surveys, focus groups, interviews, and gameplay and club observations. Project evaluation will determine how gameplay and club experiences impact participants' attitudes toward and interest in data-rich futures. The project holds the potential for broadening participation and promoting interest in data science by blending game-based learning with the rich social and adult mentoring through club participation. The results will be disseminated through conference presentations, scholarly publications, and social media. The game and facilitator materials will be designed for dissemination and made freely available to the public.
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TEAM MEMBERS: Lisa Hardy Gary Goldberger Jennifer Kahn
resource research Public Programs
This poster was presented at the 2021 NSF AISL Awardee Meeting. Programming includes Neighborhood Walks led by teams of scientists/engineers and artists Community Workshops, Local Artist Projects, and Youth Mentorship focused on neighborhood and citywide water issues Intergenerational participation, from seniors and adult learners to young adults, teens, and middle schoolers
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