To advance justice, equity, diversity, and inclusion in science, we must first understand and improve the dominant-culture frameworks that impede progress and, second, we must intentionally create more equitable models. The present authors call ourselves the ICBOs and Allies Workgroup (ICBOs stands for independent community-based organizations), and we represent communities historically excluded from the sciences. Together with institutional allies and advisors, we began our research because we wanted our voices to be heard, and we hoped to bring a different perspective to doing science with
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TEAM MEMBERS:
María Cecilia Alvarez RicaldeJuan Flores ValadezCatherine CrumJohn AnnoniRick BonneyMateo Luna CastelliMarilú López FrettsBrigid LuceyKaren PurcellJ. Marcelo BontaPatricia CampbellMakeda CheatomBerenice RodriguezYao Augustine FoliJosé GonzálezJosé Miguel Hernández HurtadoSister Sharon HoraceKaren KitchenPepe Marcos-IgaTanya SchuhPhyllis Edwards TurnerBobby WilsonFanny Villarreal
Informal learning institutions (ILIs) create opportunities to increase public understanding of science and promote increased inclusion of groups underrepresented in Science, Technology, Engineering, and Math (STEM) careers but are not equally distributed across the United States. We explore geographic gaps in the ILI landscape and identify three groups of underserved counties based on the interaction between population density and poverty percentage. Among ILIs, National Park Service lands, biological field stations, and marine laboratories occur in areas with the fewest sites for informal
This Pilot and Feasibility project will investigate: a) the kinds of learning outcomes that occur in an informal STEM project utilizing a Critical Environmental Justice-informed Participatory Action Research framework, co-created between researchers and homeless communities, and b) the challenges and opportunities that arise in evaluating such collaborative projects. To address these questions, a team of university and community researchers will work with two self-organized homeless communities, in Portland, OR and Baltimore, MD, to systematically examine air quality at their sites and further develop a multimedia environmental justice toolkit. The toolkit is aimed at equipping homeless communities with STEM-based information and approaches to learn about and address various environmental hazards. Homeless people are disproportionately vulnerable to the impacts of air and soil pollution, rodents, extreme weather, floods, fires, and other hazards. This collaboration will study STEM learning outcomes related to the broader historical socio-political context in which people are living. The project also anticipates finding ways to adapt evaluation processes to better suit the needs of marginalized groups participating in informal STEM projects.
Guided by this integrated framework, the team will undertake participant observation, interviews, focus groups, and document analysis to assess learning. It also anticipates gaining insights into how evaluation processes may be adapted to better suit the needs of marginalized groups participating in informal STEM learning. This 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. 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 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:
Chris HawnMelanie MaloneErin GoodlingDillon MahmoudiAnthony Levenda
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This Innovations in Development project addresses the need to broaden girls' participation in STEM studies and career pathways. While women make up 47% of the U.S. workforce, they hold only 28.3% of STEM jobs and only 1 in 10 employed engineers and scientists are minority women. Girls of low socioeconomic status start losing interest and confidence in STEM during middle school, and this decline often continues as girls get older. Multiple sociocultural barriers contribute to girl's loss of confidence including gender and ethnic stereotypes; lack of culturally responsive programming; limited exposure to women role models; and few or no hands-on STEM experiences. This project builds upon the success of SciGirls, the PBS television show and national outreach program, which provides professional development on research-based gender equitable and culturally responsive teaching strategies designed to engage girls in STEM. It is a collaboration between Twin Cities Public Television, the Cornell Lab of Ornithology, and the National Park Service. The project's goal is to create media-rich citizen science experiences for girls, particularly girls of color and/or from rural areas, which broaden their STEM participation, build positive STEM identities and increase girls' understanding of scientific concepts, while leveraging citizen science engagement at national parks. Project deliverables include 1) creating five new PBS SciGirls episodes that feature real girls working with women mentors in 16 National Parks, 2) producing five new role model videos of women National Park Service STEM professionals, nationally disseminated on multiple PBS platforms, 3) providing professional development for educators and role models. This project will increase access to STEM education for girls of color and/or from rural areas, inspiring and preparing them for future STEM workforce participation. It will build the capacity of educators and National Park Service women role models to create educational and professional programs that are welcoming to girls of varying racial, ethnic, socioeconomic, and geographic backgrounds. SciGirls' massive reach to diverse audiences via PBS broadcast and multiple PBS digital platforms will amplify public scientific literacy, particularly for 21st- century audiences that connect, learn and live online.
The research study conducted by the Cornell Lab of Ornithology will address these questions: 1) To what extent does the use of culturally responsive and gender equitable multimedia in citizen science programming affect girls' learning outcomes, and contribute to the development of positive STEM identity' 2) how will their experiencing citizen science in the parks influence girls' connection to nature? At the beginning of the project all participating girls (n=160) will complete a survey on their interest in science, efficacy for doing science, and knowledge of citizen science and project-specific subject matter. Researchers will use the suite of DEVISE instruments most of which have been validated for youth to measure these constructs. To measure connection to nature, researchers will use the Connection to Nature Index, a scale developed for children. Interviews with the girls will be used to obtain qualitative data to supplement the survey data. Pre-post data will be analyzed to determine the influence of the culturally responsive media and experiences on girls' STEM identities. Researchers will share findings with the project evaluator to triangulate data between educators' implementation of the strategies and girls' learning outcome providing a more holistic picture of the overall program.
This Innovations in Development 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 funds innovative research, approaches and resources for use in a variety of settings. The project will collaboratively design, test and study effective and efficient ways to develop embedded assessments (EAs) of citizen science (CS) volunteer scientific inquiry skills in order to better understand the impact of these CS experiences on volunteer scientific inquiry abilities. EAs are assessment activities that are integrated into the learning experience and allow learners to demonstrate their competencies in an unobtrusive way. The acquisition of scientific inquiry skills is an essential, even defining, characteristic of citizen science experiences that has a direct influence on data quality. Methods for assessing the direct impact of CS on volunteers' scientific inquiry skills are limited. The project will result in EA measures designed for use by diverse CS projects, strategies that CS projects can use to develop EA assessment tools, and research findings that document opportunities, supports and barriers of this innovative method across a range of CS contexts. Findings and initial resources will be shared with the broad array of stakeholders in CS through conferences, workshops, peer-reviewed publication, community websites and other relevant venues. The results of this work also have the potential to generalize to other informal science learning experiences that engage the public in science The project will address two research questions: (1) What processes are useful for developing broadly applicable EA methods or measures? and (2) What can we learn about gains in volunteers' scientific inquiry skills when citizen science organizations use EA? These will be addressed through design-based research focused on two streamlining strategies. For the reframing data validation strategy, six leaders from five established citizen science projects will conduct secondary analyses of their existing databases to uncover the skill gains of CS volunteers that are currently unexplored in their data. For the common measure strategy, ten CS projects will collaborate to create and test common EA measures of select identification-based skills. Data will be gathered through meeting notes, participant interviews and action plans, and volunteer skill gains to capture process and products of each strategy. Data will be analyzed using grounded theory, multiple process techniques, multilevel models, and repeated-measures analysis of variance. The design-based-research framework will significantly expand project impacts by jump-starting evaluation of the participating CS projects and by producing initial resources for two distinct EA strategies that have the potential to dramatically alter practice and impact citizen science efforts to ultimately enable more people to learn by contributing to the science endeavor. The project will directly equip the 15 participating citizen-science projects with authentic performance tools to assess the quality of their programing, which will expand their understanding of CS volunteer skills and help them better recruit and support their varied audiences (including rural, low-income and tribal communities).
While interest in citizen science as an avenue for increasing scientific engagement and literacy has been increasing, understanding how to effectively engage underrepresented minorities (URMs) in these projects remains a challenge. Based on the research literature on strategies for engaging URMs in STEM activities and the project team’s extensive experience working with URMs, the project team developed a citizen science model tailored to URMs that included the following elements: 1) science that is relevant to participants’ daily lives, 2) removal of barriers to participation, such as
You can use CyberTracker on a Smartphone or handheld computer to record any type of observation. CyberTracker, which requires no programming skills, allows you to customize a series of screens for your own data collection needs. Our vision is to enable you to be part of a worldwide environmental monitoring network. Our mission is to help you improve environmental monitoring by increasing the efficiency of data gathering and to improve observer reliability.