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.
Milwaukee has established itself as a leader in water management and technology, hosting a widely recognized cluster of industrial, governmental, nonprofit, and academic activity focused on freshwater. At the same time, Milwaukee faces a wide range of challenges with freshwater, some unique to the region and others common to cities throughout the country. These challenges include vulnerability to flooding and combined sewer overflows after heavy rainfall, biological and pharmaceutical contamination in surface water, lead in drinking water infrastructure, and inequity in access to beaches and other recreational water amenities. Like other cities, Milwaukee grapples with the challenges global climate change imposes on urban water systems, including changing patterns of precipitation and drought.
These problems are further complicated by Milwaukee's acute racial and economic residential segregation. With a population of approximately 595,000, embedded within a metropolitan area of over 1.5 million, Milwaukee remains one of the country's most segregated cities. There is increasing urgency to engage the public--and especially those who are most vulnerable to environmental impacts--more deeply in the stewardship of urban water and in the task of creating sustainable urban futures. The primary goal of this four-year project is to foster community-engaged learning and environmental stewardship by developing a framework that integrates art with Science, Technology, Engineering, and Mathematics (STEM) experiences along with geography, water management, and social science. Synergies between STEM learning and the arts suggest that collaborations among artists, scientists, and communities can open ways to bring informal learning about the science of sustainability to communities.
WaterMarks provides an artist generated conceptual framework developed by Mary Miss / City as Living Laboratory (CALL) to help people better understand their relationship to the water systems and infrastructure that support their lives. Project activities include artist/scientist/community member-led Walks, which are designed to engage intergenerational participants both from the neighborhoods and from across the city, in considering the conditions, characteristics, histories, and ecosystems of neighborhoods. Walks are expanded upon in Workshops with residents, local scientists/experts, and other stakeholders, and include exploring current water-related environmental challenges and proposing solutions. The Workshops draw on diverse perspectives, including lived experience, scientific knowledge, and policy expertise. Art projects created by local artists amplify community engagement with the topics, including programming for teens and young adults. Free Wi-Fi will be integrated into various Marker sites around the city providing access to online, self-guided learning opportunities exploring the water systems and issues facing surrounding neighborhoods. Current programming focuses primarily on Milwaukee's predominantly African American near North Side and the predominantly Latinx/Hispanic near South Side. Many neighborhoods in these sections are vulnerable to such problems as frequent flooding, lead contamination in drinking water, inequities in safety and maintenance of green space, and less access to Lake Michigan, the city's primary natural resource and recreational amenity.
The WaterMarks project advances informal STEM learning in at least two ways. First, while the WaterMarks project is designed to fit Milwaukee, the project includes the development of an Adaptable Model Guide. The Guide is designed so that other cities can modify and employ its inclusive structure, programming, and process of collaboration among artists, scientists, partner organizations, and residents to promote citywide civic engagement in urban sustainability through the combination of informal STEM learning and public art. The Guide will be developed by a Community-University Working Group (CULab) hosted by UW-Milwaukee's Center for Community-Based Learning, Leadership, and Research and made up of diverse community and campus-wide stakeholders. In addition to overseeing the Guide’s creation, CULab will conceptualize onboarding and mentorship strategies for new participants as well as a framework for the program’s expansion and sustainability.
Second, through evaluation and research, the project will build a theoretical model for the relationships among science learning, engagement with the arts, and the distinctive contexts of different neighborhoods within an urban social-ecological system. The evaluation team, COSI’s Center for Research and Evaluation, and led by Co-PI Donnelly Hayde, aims to conduct formative, summative, and process evaluation of the Watermarks project, with the additional goal of producing evaluative research findings that can contribute to the broader field of informal learning. Evaluation foci include: How does the implementation of WaterMarks support positive outcomes for the project’s communities and the development of an adaptable model for city-scale informal science learning about urban environments? 2. To what extent do the type and degree of outcome-related change experienced by participating community residents vary across and/or between project sites? What factors, if any, appear to be linked to these changes? 3. To what extent and in what ways do the activities of the WaterMarks projects appear to have in situ effects related to the experience of place at project sites?
The project’s research team led by PI Ryan Holifield and Co-PI Woonsup Choi, will investigate how visual artistic activities introduced by the programming team as part of the Walks (and potentially other engagement activities) interact with personal, sociocultural, and physical contexts to produce distinctive experiences and outcomes of informal science learning about urban water systems. The aim of the research will be to synthesize the results from the different WaterMarks sites into an analysis generalizable beyond specific neighborhoods and applicable to other cities. The project's research questions include: 1. How does participation in Walks focused on visual artistic activities affect outcomes and experiences of informal STEM learning about urban water systems? 2. How do outcomes and experiences of informal STEM learning vary across different urban water topics, participants from different demographic groups, and contrasting sociocultural and biophysical contexts?
This Innovations in Development project is led by the University of Wisconsin-Milwaukee (UWM), in collaboration with City as Living Laboratory (CALL) and the COSI Center for Research and Evaluation.
A report following the 2016 Environmental Health Summit recommended engaging citizens in creating their own knowledge and solutions, thus ensuring that their concerns are adequately addressed and promoting sustainability of community projects. Indeed, citizen science has the potential to initiate a cascade of events with a positive ripple effect that includes a more diverse future STEM and biomedical workforce. This SEPA proposal involves the establishment of WE ENGAGE – an informal, citizen science-based, environmental health experiential learning program designed in partnership with and for under resourced communities struggling with health and environmental health challenges. Its purpose is to actively engage and build the citizen science capacity of citizens living in a single cluster of three contiguous under resourced, minority Cincinnati neighborhoods where generational challenges continue to plague residents despite the presence of established academic-community partnerships. Our hypothesis is that community-informed, experiential learning opportunities outside of the classroom that are structured, multi-generational, and story-based will encourage a) the active asking, discussion about, and answering of relevant complex health and environmental questions so that individuals and communities can plan action steps to make better health choices and pursue healthier environments, and b) greater interest and confidence in pursuing formal biomedical/STEM education and STEM careers. Our program has three specific aims: 1) We will co-create tailored story- based (graphic novel style) STEM education materials with a community advisory board and offer informal STEM education and research training to our target communities; 2) we will facilitate the application of scientific inquiry skills to improve health via community-led health fairs that use an innovative electronic health passport platform to collect data and through facilitated community discussions of health fair data to generate motivating stories to share; and 3) we will facilitate the application of scientific inquiry skills to foster community pride and activism in promoting healthier/safer built environments via walking environmental assessments. As in aim 2, facilitated discussions will be held to spur future community based participatory research studies and interventions. Critical to our success is the concept of storytelling. Storytelling is a foundation of the human experience. A key purpose of storytelling is not just understanding the world, but positively transforming it. It is a common language. Bringing together STEM concepts in the form of a story increases their appeal and meaning. Later, the very process of community data collection gives individuals a voice. In a data story, hundreds to millions of voices can be distilled into a single narrative that can help community members probe important underlying associations and get to the root causes of complicated health issues relevant to their communities. Through place based, understandable, motivating data stories, the community’s collective voice is clearer—leading to relevant and viable actions that can be decided and taken together. From preventing chronic disease, to nurturing healthier environments, to encouraging STEM education — stories have unlimited potential.
Public Health Relevance Statement:
Narrative WE ENGAGE is an informal citizen science-based, experiential learning program designed in partnership with and for middle schoolers to adults living in under resourced minority communities. Using the power of data collection and storytelling, its purpose is to actively engage citizens in STEM/research education and training to encourage a more diverse future workforce and to sustainably build local capacity to ask and answer complex health and environmental questions relevant to their communities. Further, by engaging citizens and giving them a more equitable stake in the research process, they are better able to discover their own solutions.
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TEAM MEMBERS:
Melinda Sue ButschkovacicSusan Ann Hershberger
The goals of this proposal are: 1) to provide opportunities for underrepresented students to consider careers in basic or clinical research by exciting them through an educational Citizen Science research project; 2) to provide teachers with professional development in science content and teaching skills using research projects as the infrastructure; and 3) to improve the environments and behaviors in early childcare and education settings related to healthy lifestyles across the state through HSTA students Citizen Science projects. The project will complement or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs. It will encourage interactive partnerships between biomedical and clinical researchers,in-service teachers and early childcare and education facilities to prevent obesity.
Specific Aim I is the Biomedical Summer Institute for Teachers led by university faculty. This component is a one week university based component. The focus is to enhance teacher knowledge of biomedical characteristics and problems associated with childhood obesity, simple statistics, ethics and HIPAA compliance, and the principles of Citizen Science using Community Based Participatory Research (CBPR). The teachers, together with the university faculty and staff, will develop the curriculum and activities for Specific Aim II.
Specific Aim II is the Biomedical Summer Institute for Students, led by HSTA teachers guided by university faculty. This experience will expose 11th grade HSTA students to the biomedical characteristics and problems associated with obesity with a focus on early childhood. Students will be trained on Key 2 a Healthy Start, which aims to improve nutrition and physical activity best practices, policies and environments in West Virginia’s early child care and education programs. The students will develop a meaningful project related to childhood obesity and an aspect of its prevention so that the summer institute bridges seamlessly into Specific Aim III.
Specific Aim III is the Community Based After School Club Experiences. The students and teachers from the summer experience will lead additional interested 9th–12th grade students in their clubs to examine their communities and to engage community members in conducting public health intervention research in topics surrounding childhood obesity prevention through Citizen Science. Students and teachers will work collaboratively with the Key 2 a Healthy Start team on community projects that will be focused on providing on-going technical assistance that will ultimately move the early childcare settings towards achieving best practices related to nutrition and physical activity in young children.
Citizen science is a form of Public Participation in Scientific Research (PPSR) in which the participants are engaged in the scientific process to support research that results in scientifically valid data. Opportunities for participation in real and authentic scientific research have never been larger or broader than they are today. The growing popularity and refinement of PPSR efforts (such as birding and species counting studies orchestrated by the Cornell Lab of Ornithology) have created both an opportunity for science engagement and a need for more research to better implement such projects in order to maximize both benefits to and contributions from the public.
Towards this end, Shirk et al. have posted a design framework for PPSR projects that delineates distinct levels of citizen scientist participation; from the least to the highest level of participation, these categories are contract, contribute, collaborate, co-create, and colleagues. The distinctions among these levels are important to practitioners seeking to design effective citizen science programs as each increase in citizen science participation in the scientific process is hypothesized to have both benefits and obstacles. The literature on citizen science models of PPSR calls for more research on the role that this degree of participation plays in the quality of that participation and related learning outcomes (e.g., Shirk et al., 2012; Bonney et al., 2009). With an unprecedented interest in thoughtfully incorporating citizen science into health-based studies, citizen science practitioners and health researchers first need a better understanding of the role of culture in how different communities approach and perceive participation in health-related studies, the true impact of intended educational efforts from participation, and the role participation in general has on the scientific process and the science outcome.
Project goal to address critical barrier in the field: Establish best practices for use of citizen science in the content area of human health-based research, and better inform the design of future projects in PPSR, both in the Denver Museum of Nature & Science’s Genetics of Taste Lab (Lab), and importantly, in various research and educational settings across the field.
Aims
Understand who currently engages in citizen science projects in order to design strategies to overcome the barriers to participation that occur at each level of the PPSR framework, particularly among audiences underrepresented in STEM.
Significantly advance the current knowledge regarding how citizen scientists engage in, and learn from, and participate in the different levels of the PPSR framework.
Determine the impact that each stage of citizen science participation has on the scientific process.
Increasingly, scientists and their institutions are engaging with lay audiences via media. The emergence of social media has allowed scientists to engage with publics in novel ways. Social networking sites have fundamentally changed the modern media environment and, subsequently, media consumption habits. When asked where they primarily go to learn more about scientific issues, more than half of Americans point to the Internet. These online spaces offer many opportunities for scientists to play active roles in communicating and engaging directly with various publics. Additionally, the proposed research activities were inspired by a recent report by the National Academies of Sciences, Engineering, and Medicine that included a challenge to science communication researchers to determine better approaches for communicating science through social media platforms. Humor has been recommended as a method that scientists could use in communicating with publics; however, there is little empirical evidence that its use is effective. The researchers will explore the effectiveness of using humor for communicating about artificial intelligence, climate science and microbiomes.
The research questions are: How do lay audiences respond to messages about scientific issues on social media that use humor? What are scientists' views toward using humor in constructing social media messages? Can collaborations between science communication scholars and practitioners facilitate more effective practices? The research is grounded in the theory of planned behavior and framing as a theory of media effects. A public survey will collect and analyze data on Twitter messages with and without humor, the number of likes and re-tweets of each message, and their scientific content. Survey participants will be randomly assigned to one of twenty-four experimental conditions. The survey sample, matching recent U.S. Census Bureau data, will be obtained from opt-in panels provided by Qualtrics, an online market research company. The second component of the research will quantify the attitudes of scientists toward using humor to communicate with publics on social media. Data will be collected from a random sample of scientists and graduate students at R1 universities nationwide. Data will be analyzed using descriptive statistics and regression modeling.
The broader impacts of this project are twofold: findings from the research will be shared with science communication scholars and trainers advancing knowledge and practice; and an infographic (visual representation of findings) will be distributed to practitioners who participate in research-practice partnerships. It will provide a set of easily-referenced, evidence-based guidelines about the types of humor to which audiences respond positively on social media.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Sara YeoLeona Yi-Fan SuMichael Cacciatore
A team of experts from five institutions (University of Minnesota, Adler Planetarium, University of Wyoming, Colorado State University, and UC San Diego) links field-based and online analysis capabilities to support citizen science, focusing on three research areas (cell biology, ecology, and astronomy). The project builds on Zooniverse and CitSci.org, leverages the NSF Science Gateways Community Institute, and enhances the quality of citizen science and the experience of its participants.
This project creates an integrated Citizen Science Cyberinfrastructure (CSCI) framework that expands the capacity of research communities across several disciplines to use citizen science as a suitable and sustainable research methodology. CSCI produces three improvements to the infrastructure for citizen science already provided by Zooniverse and CitSci.org:
Combining Modes - connecting the process of data collection and analysis;
Smart Assignment - improving the assignment of tasks during analysis; and
New Data Models - exploring the Data-as-Subject model. By treating time series data as data, this model removes the need to create images for classification and facilitates more complex workflows. These improvements are motivated and investigated through three distinct scientific cases:
Biomedicine (3D Morphology of Cell Nucleus). Currently, Zooniverse 'Etch-a-Cell' volunteers provide annotations of cellular components in images from high-resolution microscopy, where a single cell provides a stack containing thousands of sliced images. The Smart Task Assignment capability incorporates this information, so volunteers are not shown each image in a stack where machines or other volunteers have already evaluated some subset of data.
Ecology (Identifying Individual Animals). When monitoring wide-ranging wildlife populations, identification of individual animals is needed for robust estimates of population sizes and trends. This use case combines field collection and data analysis with deep learning to improve results.
Astronomy (Characterizing Lightcurves). Astronomical time series data reveal a variety of behaviors, such as stellar flares or planetary transits. The existing Zooniverse data model requires classification of individual images before aggregation of results and transformation back to refer to the original data. By using the Data-as-Subject model and the Smart Task Assignment capability, volunteers will be able to scan through the entire time series in a machine-aided manner to determine specific light curve characteristics.
The team explores the use of recurrent neural networks (RNNs) to determine automated learning architectures best suited to the projects. Of particular interest is how the degree to which neighboring subjects are coupled affects performance. The integration of existing tools, which is based on application programming interfaces (APIs), also facilitates further tool integration. The effort creates a citizen science framework that directly advances knowledge for three science use cases in biomedicine, ecology, and astronomy, and combines field-collected data with data analysis. This has the ability to solve key problems in the individual applications, as well as benefiting the research of the dozens of projects on the Zooniverse platform. It provides benefits to researchers using citizen scientists, and to the nearly 1.6 million citizen scientists themselves.
This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Research on Learning in Formal and Informal Settings, within the NSF Directorate for Education and Human Resources.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
Cities and communities in the U.S. and around the world are entering a new era of transformational change, in which their inhabitants and the surrounding built and natural environments are increasingly connected by smart technologies, leading to new opportunities for innovation, improved services, and enhanced quality of life. The Smart and Connected Communities (SCC) program supports strongly interdisciplinary, integrative research and research capacity-building activities that will improve understanding of smart and connected communities and lead to discoveries that enable sustainable change to enhance community functioning. This project is a Research Coordination Network (RCN) that focuses on achieving SCC for medium/small size, remote, and rural communities through a polycentric (multiple centers) integrated policy, design, and technology approach. The communities served by the RCN have higher barriers to information, resources, and services than larger urban communities. To reduce this gap, the PIs propose to develop need-based R&D pipelines to select solutions with the highest potential impacts to the communities. Instead of trying to connect under-connected communities to nearby large cities, this proposal aims to develop economic opportunities within the communities themselves. This topic aligns well with the vision of the SCC program, and the proposed RCN consists of a diverse group of researchers, communities, industry, government, and non-profit partners.
This award will support the development of an RCN within the Commonwealth of Virginia which will coordinate multiple partners in developing innovations utilizing smart and connected technologies. The goal of the research coordination network is to enable researchers and citizens to collaborate on research supporting enhanced quality of life for medium, small, and rural communities which frequently lack the communication and other infrastructure available in cities. The research coordination network will be led by the University of Virginia. There are 14 partner organizations including six research center partners in transportation, environment, architecture and urban planning, and engineering and technology; two State and Industry partners (Virginia Municipal League and Virginia Center for Innovative Technology); four community partners representing health services (UVA Center for Telemedicine), small and remote communities (Weldon Cooper Center), neighborhood communities (Charlottesville Neighborhood Development), and urban communities (Thriving Cities); and two national partners which support high speed networking (US-Ignite) and city-university hubs (MetroLab). Examples of research coordination include telemedicine services, transportation services, and user-centric and community-centric utilization and deployment of sensor technologies.
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TEAM MEMBERS:
Ila BermanT. Donna ChenKaren RheubanQian Cai
The Richmond Public Library will create The Richmond Digital Health Literacy Project to provide low-income residents with tools and skills needed to access online information to improve their health. Participants will learn how to gain access to digital reference materials, e-books, mobile library offerings, and other resources. The project will bring together groups of participants around the topic of health information to develop customized online health curricula, provide training to 180 low-income residents in digital health literacy, and supply free broadband and wireless antennae to public computer centers. These activities will enable participants to develop skills and access relevant digital content to improve the health and the overall quality of life of Richmond residents.