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.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This Change Makers project will establish Food Justice Ambassador corps across three cities in Massachusetts where youth will install, manage and learn the science and technology underlying hydroponics. The project takes a near-peer mentoring approach that empowers high school youth to take the lead in improving ethnic minority and low-income residents' access to healthy produce and to help educate middle school youth regarding the value of fresh produce in one's diet by learning the science of hydroponics. Youth will create story maps to visualize food accessibility in their communities. High school youth will work with their communities to establish hydroponic farms in middle school after-school settings. The food that is grown will be provided to the community through farmers' markets. Youth will share their work with a larger community of urban farmers at the Massachusetts Urban Farming Conference. This project seeks to understand the contribution on youth development by the model's three components: (1) STEM learning embedded in a social justice framework, (2) near-peer mentoring, and (3) youth purpose and career development. This will enable researchers to better understand how the project enables youth to learn STEM skills; apply them to a real life problem; learn the relevance of STEM skills for addressing personal, career aspiration, and social justice issues; develop a sense of purpose and aspirations related to STEM fields; and mentor other youth through the same process. The project will use a mixed-method, multi-site longitudinal study utilizing quantitative surveys, structural equation modeling, and qualitative interviews to study the intersections of the components of the project. As such, the study will address three key questions: 1) How do youth and mentors perceive and experience their roles as participants in the pedagogy? 2) What is the impact of the intervention on youth' sense of purpose, identity, career adaptability, work volition, critical consciousness, school engagement, STEM interests, and STEM intentionality? 3) What is the contribution of relational/mentoring and psychosocial/career adaptability aspects of the youths' contexts on their capacity to benefit from this program and to develop and sustain purpose and engagement in school and STEM? Most urban youth (and adults) have little knowledge of where their food comes from and have limited opportunities to learn how to grow produce as well as develop related skills that can lead to a career in a STEM field. This is particularly disconcerting as 55% of African Americans live inside central cities (90% in metropolitan areas) and over half of all Latino/as live in central cities (United States Census Bureau, 2011). This project entails the recruitment of low-income youth from populations underrepresented in science into a program where social justice concerns (food justice, food security) are illuminated, analyzed, and acted upon through the development of STEM knowledge and skills. Specifically, this project recognizes the potential for urban youth to become deeply knowledgeable citizens who can mobilize their STEM knowledge and skills to resolve social injustices such as food deserts. If successful, this project will provide a model that should be transferable to similar contexts to help broaden participation in STEM.
DATE:
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TEAM MEMBERS:
George BarnettBelle LiangDavid Blustein