Developing solutions to large-scale collective problems -- such as resilience to environmental challenges -- requires scientifically literate communities. However, the predominant conception of scientific literacy has focused on individuals, and there is not consensus as to what community level scientific literacy is or how to measure it. Thus, a 2016 National Academies of Sciences, Engineering, and Medicine report, “Science Literacy: Concepts, Contexts, and Consequences,” stated that community level scientific literacy is undertheorized and understudied. More specifically, the committee recommended that research is needed to understand both the i) contexts (e.g., a community’s physical and social setting) and ii) features of community organization (e.g., relationships within the community) that support community level science literacy and influence successful group action. This CAREER award responds to this nationally identified need by iteratively refining a model to conceptualize and measure community level scientific literacy. The model and metrics developed in this project may be applied to a wide range of topics (e.g., vaccination, pandemic response, genetically-modified foods, pollution control, and land-use decisions) to improve a community’s capacity to make scientifically-sound collective decisions. This CAREER award is funded by the Advancing Informal STEM Learning (AISL) and the EHR CORE Research (ECR) programs. It supports the AISL program goals to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. It supports the ECR program goal to advance relevant research knowledge pertaining to STEM learning and learning environments.
The proposed research will conceptualize, operationalize, and measure community level scientific literacy. This project will use a comparative multiple case study research design. Three coastal communities, faced with the need to make scientifically-informed land-use decisions, will be studied sequentially. A convergent mixed methods design will be employed, in which qualitative and quantitative data collection and analyses are performed concurrently. To describe the i) context of each community case, this project will use qualitative research methods, including document analysis, observation, focus groups, and interviews. To measure the ii) features of community organization for each community case, social network analysis will be used. The results from this research will be disseminated throughout and at the culmination of the project through professional publications and conference presentations as well as with community stakeholders and the general public. The integrated education activities include a professional learning certificate for informal science education professionals and STEM graduate students. This certificate emphasizes high-quality community-engaged scholarship, placing students with partners such as museums, farmer’s markets, and libraries, to offer informal learning programs in their communities. This professional learning program will be tested as a model to provide training for STEM graduate students who would like to communicate their research to the public through outreach and extension activities.
Informal learning institutions--museums, libraries, news organizations, and others--work to inform their audiences about the rapidly emerging scientific consensus on various topics. Often this information invites action such as social distancing during a pandemic. What motivates people to act upon that information (or not)? When recommended actions can yield good or bad outcomes for oneself, the information needs to fit with motivational tendencies towards preventing bad outcomes and/or promoting good outcomes. Recent theories indicate similar motives for recommended actions that affect others: family, friends, neighbors, and up the scale to the societal and the biological world. This small virtual conference will bring together STEM researchers and practitioners to offer a transdisciplinary and practically minded critique of the model of moral motives and discuss its implications for actions related to STEM topics. Specifically, the conference will use data collected by NSF RAPID grant (#2027939) that connects people’s news consumption, their compliance with COVID-19 prevention recommendations, and their judgments of whose wellbeing (from self to society) recommended behaviors protect or promote.
This small virtual conference will recruit approximately 16 attendees including transdisciplinary scholars whose work addresses social responsibility in the context of STEM informal learning and practitioners from a broad range of sectors including science centers, libraries, zoos, and the media. Individual disciplines will include anthropology, psychology, the interdisciplinary fields of the learning sciences and judgement and decision-making. The conference strategy will include synchronous, asynchronous, and small group collaborations in addition to full-group discussion. Conference activities will spread over 8 weeks. The structure of the conference is loosely based on the Open Space Technology approach (i.e.: General & Lantelme, 2014, Owen 1997). To build capacity in these various informal learning sectors participants will distill implications about moral motives into practical advice to publish in the conference proceedings that will include a report on the initial and collaboratively revised models. An editable version of the proceedings will allow registered practitioners to further critique and develop that advice. The conference proceedings will be distributed as a short Creative Commons e-book with copies and links distributed on the website of the Center for Advancing Informal STEM Education , and through all the participant’s professional research and practitioner societies.