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resource evaluation Media and Technology
In 2022, Kera Collective partnered with Made By Us to evaluate the impact of its flagship program, Civic Season, in its second year running. Held annually between Juneteenth and July 4th, Civic Season “rolls out the welcome mat” for Young People—the future inheritors of the United States—by connecting them to 150+ museums, historic sites, and historical societies and putting history in their hands as a tool for informed, inspired civic participation. Our work, and Civic Season’s implementation, came at a time when the gap between Young People (age 18-30) and history organizations was huge
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TEAM MEMBERS: Cathy Sigmond Hannah Heller Stephanie Downey Claire Lucas
resource evaluation Public Programs
Overview In 2021, we worked with the Smithsonian Institution’s American Women’s History Initiative (AWHI) to design and implement a baseline study that would measure the long-term impacts of the Because of Her Story (BOHS) internship program on participants. The program is a cross-Smithsonian initiative that matches interns with museum projects meant to amplify women's stories to tell a more complete American history, reach a diverse audience, and empower and inspire people from all walks of life. Together, we articulated clear and measurable mid- and long-term outcomes for internship
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TEAM MEMBERS: Katie Chandler Hannah Heller Claire Lucas
resource project Public Programs
This AISL Pilots and Feasibility project will study the data science learning that takes place as members of the public explore and analyze open civic data related to their everyday lives. Government services, such as education, transportation, and non-emergency municipal requests, are becoming increasingly digital. Generally, program workshops and events may be able to support participants in using such data to answer their own questions, such as: "How do City agencies respond to noise in my neighborhood?" and "How do waste and recycling services in my neighborhood compare with others?" This project seeks to understanding how such programs are designed and facilitated to support diverse communities in accessing and meaningfully analyzing data will promote innovation and knowledge building in informal data science education. The team will begin by summarizing best practices in data science education from a variety of fields. Next they will explore the design and impacts of two programs in New York City, a leader in publicly available Open Data initiatives. This phase will explore activities and facilitation approaches, participants' objectives and data literacy skills practice, and begin to identify potential barriers to entry and levels of participation. Finally, the team will build capacity for other similar organizations to explore and understand their impacts on community members' engagement with civic data. This pilot study will establish preliminary evidence of the effectiveness of these programs, and in turn, inform future research into the identifying and amplifying best practices to support public engagement with data.

This research team will begin by synthesizing data science learning best practices based on varied literatures and surveys with academic and practitioner experts.

Synthesis results will be applied as a lens to gather preliminary evidence regarding the impacts of two programs on participants' data science practices and understanding of the nature of data in the context of civics. The programs include one offered by the Mayor's Office of Data Analytics (MODA), which is the NYC agency with overall responsibility for the City's Open Data programs, and BetaNYC, a leading nonprofit organization working to improve lives through civic design, technology, and engagement with government open data. The research design triangulates ethnographic observations and artifacts, pre and post adapted surveys, and interviews with participants and facilitators. Researchers will identify programmatic metrics and adapts existing measures to assess various outcomes related to public engagement with data, including: question formulation, data set selection and manipulation, the use of data to make inferences, and understanding variability, sampling and context. These metrics will be shared through an initial assessment framework for data science learning in the context of community engagement with civic open data. Researchers will also begin to identify barriers to broader participation through literature synthesis, interviews with participants and facilitators, and conversations with other organizations in our networks, such as NYC Community Boards. Findings will determine the suitability of the programs under study and inform future research to identify and amplify best practices in supporting public engagement with data.

This project is funded by the NSF Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.

This Pilots and Feasibility Studies award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS: Oded Nov Camilia Matuck Graham Dove
resource project Public Programs
An ecosystems model of learning suggests there are critical partners within and across a community that support learning across the lifespan. These school-community partnerships, developed with shared accountability and goals, are essential to rural students given the lack of economic and geographic access to such services. Youth in rural areas may have limited opportunities to engage with professionals. The team proposes to overcome this gap by capitalizing on the wide-spread interest in archaeology to teach critical thinking using STEM concepts and testing components of a partnership program. This project will advance knowledge on multidisciplinary STEM education by iteratively developing and researching an after-school program in which youth engage in multidisciplinary inquiry in the context of archeology. Mentored by archaeologists, rural youth and citizen scientists will use concepts and tools drawn from biology, ecology, geospatial science, mathematics, physics, and data science to identify and answer questions related to the history of their local region. An outcome of this project will be a road map for moving from a feasibility project to a larger implementation project locally and an understanding of community partnerships engaging more broadly.

Researchers at SUNY Binghamton will conduct a mixed-methods research study that examines the ways in which participation in a multidisciplinary after-school archaeology program supports the development of STEM identities among rural youth in sixth through eighth grades. The research team will use content analysis to analyze field notes from observations, as well as transcripts from focus groups and interviews with the youth. They will use inferential statistics to explore changes in the youths' STEM identity using an identity survey, which will be administered to the youth before and after participation in the program. Additionally, the research team will conduct qualitative research that explores shifts in the afterschool program providers' perceptions about supporting middle school youth as STEM learners. The program providers are comprised of graduate and undergraduate archaeology students, citizen scientists, and professional archaeologists. The course modules developed for the after-school program will be disseminated through professional networks and organizations dedicated to archaeologists and informal educators, and empirical findings will be shared widely via peer-reviewed publications. This project is funded by the Advanced Informal STEM Learning (AISL) program. As part of its overall strategy to enhance learning in informal environments, the AISL program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.

This Pilots and Feasability Studies award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS: Laurie Miroff Nina Versaggi Amber Simpson Luann Kida Lynda Carroll