The overall goal of the Center for Advancement of Informal Science Education (CAISE) Equity Audit has been to assess CAISE as an organization, and its operations and products through a racial equity lens. In this report, CAISE provides insights on how to better serve our audiences, identify potential resource gaps, and to expand the reach and value of our work to other communities and individuals.
An adapted three-dimensional model of place attachment is proposed as a theoretical framework from which place-based citizen science experiences and outcomes might be empirically examined in depth.
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TEAM MEMBERS:
Julia ParrishYurong HeBenjamin Haywood
resourceresearchProfessional Development, Conferences, and Networks
This Informal Learning Review article briefly recounts the activities of Center for Advancement of Informal Science Education's (CAISE) over three award periods, from 2007 through 2022. It includes links to key CAISE resources and event documentation. CAISE sunsetted its activities in early 2022 and passed the baton of leadership of the National Science Foundation (NSF) Advancing Informal STEM Learning (AISL) program resource center to REVISE- the Reimagining Equity and Values in Informal STEM Education center.
The Green Bank Observatory organized a community workshop on research experiences for high school students in disciplines supported by NSF’s Directorate for Mathematical and Physical Sciences (MPS). The workshop was intended as a forum for sharing, gathering community input, and illuminating best practices in providing research experiences to high school students and organizing such research activities across universities, labs, and observatories. The input gathered from the workshop may be useful to others wanting to support K-12 research activities.
It is often stated that solving the global challenges presented by the 21st century requires a United States workforce with training in STEM fields, and that the STEM workforce may be insufficient to fill that need. Education research literature in STEM suggests that engaging students early and often in authentic research experiences enhances STEM identity, STEM self-efficacy, and STEM career interest: three personal attributes that are linked to entry into and persistence on a STEM career pathway. Much of this literature is focused on college students, however. This workshop convened people and organizations who have designed and implemented research experiences for high school students, and who will examine the role such experiences can play in the development of a student’s interest and STEM identity.
This qualitative study explores perspectives of U.S.A.-based science communication researchers and practitioners who attended a symposium focused on advancing inclusive science communication (ISC). ISC is a growing global movement that aims to center equity, inclusion, and marginalized perspectives in science communication. Findings underscore the complexity of systemic barriers to ISC, the critical need for resource sharing and network building, and the importance of evaluation frameworks. The authors also highlight critical dialogue as a strategic tool that might help support intentional
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TEAM MEMBERS:
Sunshine MenezesKayon Murray-JohnsonHollie SmithHannah TrautmannMehri Azizi
resourceprojectProfessional Development, Conferences, and Networks
The goal of this project is to understand and support the development of evidence-based public engagement with science (PES) strategies within STEM research organizations. It specifically seeks to understand how scientists, institutional leaders, and staff within the NSF’s Long Term Ecological Research (LTER) Network make decisions about the design and implementation of PES activities. The LTER Network includes 28 varied sites across North America and provides a unique opportunity to study PES decision-making within scientific organizations. The project is especially interested in the degree to which these types of organizations consider the interests and assets of local communities, including underrepresented communities. This project will lead to increased capacity for effective, evidence-based PES in an essential sector of the nation’s STEM research infrastructure. The project is a collaboration between PES practitioners within the LTER Network and PES researchers at Michigan State University and Oregon State University.
The project will address three primary research questions: (1) How do scientists, institutional leaders, and staff view and make decisions about the design and implementation of PES? (2) To what degree do PES activities and PES strategies consider the interests and assets of local communities, including those underrepresented in STEM? (3) How, and to what degree, can scientists, institutional leaders, and staff develop shared PES strategies aimed at enhancing reciprocal exchanges and ongoing relationships with communities? The project design includes: (a) surveys and interviews with LTER scientists, institutional leaders, and staff; (b) case studies coupled with strategic engagement planning to investigate the community contexts of PES; (c) a PES working group with LTER scientists and PES-related staff to integrate research and practice; (d) a PES monitoring system for tracking PES activities at LTER sites; and (e) an external advisory board of PES experts and representatives of other STEM research organizations to promote accountability of the work and broaden its impact beyond the LTER Network. The overall hypothesis is that it is possible to improve the effectiveness of PES through a focus on helping scientific organizations develop PES strategies in collaboration with relevant communities.
Data science is ever-present in modern life. The need to learn with and about data science is becoming increasingly important in a world where the quantity of data is constantly growing, where one’s own data are often being harvested and marketed, where data science career opportunities are rapidly increasing, and where understanding statistics, data sources, and data representation is integral to understanding STEM and the world around us. Museums have the opportunity to play a critical role in introducing the public to data science concepts in ways that center personal relevance, social connections and collaborative learning. However, data science and statistics are difficult concepts to distill and provide meaningful engagement with during the brief learning experiences typical to science museums. This Pilot and Feasibility study brings together data scientists, data science educators, and museum exhibit designers to consider these questions:
What are the important data science concepts for the public to explore and understand in museum exhibits?
How can museum exhibits be designed to support visitors with diverse backgrounds and experiences to engage with these data science concepts?
What principles can shape these designs to promote broadening participation in data science specifically and STEM more broadly?
This Pilot and Feasibility project combines multidisciplinary expert convening, feasibility testing, and early exploratory prototyping around the focal topic of data science exhibits. Project partners, TERC, the Museum of Science, Boston, and The Tech Interactive in San Jose will engage in an iterative process to develop a theoretical grounding and practical guidance for museum practitioners. The project will include two convenings, bringing together teams of experts from the fields of data science, data science education and museum exhibit design. Prior to the first convening, an initial literature summary and a survey of convening participants will be conducted, culminating in a preliminary list of big ideas about data science. Periodically, participants will have the opportunity to rank, annotate and expand this list, as a form of ongoing data collection. During the convenings, participants will explore the preliminary list, share related work from the three disciplines, engage with related data science activities in small groups, and work together to build consensus around promising data science topics and approaches for exhibits. Participant evaluation will allow for iterative improvement of the convenings and the capture of missed points or overlooked topics. After each convening, museum partners will create prototypes that respond to the convening conversations. Prototypes will be pilot tested (evaluated) with an intentionally recruited group of families that includes both frequent visitors and those who are less likely to visit the museum; diversity in terms of race, languages and dis/ability will be reflected in selection. Pilot data collection will consist of structured observations and interviews. Results from the first round of prototyping will be shared with convening participants as a way to modify the list of big ideas and to further interrogate the feasibility of communicating these ideas in an exhibit format. Results from the convenings and from both rounds of prototyping will be combined in a guiding document that will be shared on all three partner websites, and more broadly with the informal STEM learning field. The team will also host a workshop for practitioners interested in designing data science exhibits, and present at a conference focused on museum exhibits and their design.