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
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.
With the rapid development of technologies for exposure monitoring and data analysis, opportunities for utilizing citizen science and community-engaged research approaches in advancing environmental health research are ever increasing. On December 8-9, 2016, the Research Triangle Environmental Health Collaborative (Collaborative) held its 9th Summit, Community Engaged Research and Citizen Science Summit: Advancing Environmental Public Health to Meet the Needs of Our Communities in Research Triangle Park, NC. The timing of this particular Summit was fortuitous as it dovetailed with the
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TEAM MEMBERS:
Research Triangle Environmental Health CollaborativeMadelyn HuangKimberly Thigpen Tart
San Francisco Health Investigators (SF HI), developed and led by the Science & Health Education Partnership at UC San Francisco, will use a community-based participatory research model to provide authentic research experiences for high school students, the majority from backgrounds underrepresented in the sciences.
SF HI will:
1) Develop a community of high school Student Researchers who will conduct research into health issues in their communities, study how adolescents respond to health messages, create new health messages informed by this research, and study the broader impacts of the materials they develop.
2) Partner with educational researchers to research the effects of SF HI on the high school student participants and the impact of the materials on the broader community.
3) Disseminate those materials shown to have the greatest impact nationally.
4) Publish results on the public understanding and awareness of health issues in peer-reviewed journals and other forums to inform and advance the field of public health.
The SF HI model is designed to leverage students’ cultural and technological knowledge and their social capital in the role of Student Researchers as they study the awareness, knowledge and attitudes about current health issues in their communities. It will have a broad range of impacts. Over the course of the project, 100 urban public high school students will be immersed in research projects that have the potential to directly benefit the health of their communities. These Student Researchers will design health messages informed by their social, cultural, and community knowledge and by their research results. They will collectively survey more than 8,500 community members – their peers, neighbors, and attendees at public gatherings to assess the effectiveness of these materials. Student-developed materials will be distributed broadly via the web, high school and college wellness centers, the NIH SEPA community, and other networks – thus these materials have the potential to reach over 1.5 million adolescents and young adults over the life of the project.
The participation of non-professionally trained people in so-called citizen science (CS) projects is a much discussed topic at the moment. Frequently, however, the contribution of citizens is limited to only a few narrow tasks. Focusing on an initiative dedicated to the study of the human microbiome, this paper describes such a case where citizen participation is limited to the provision of funding, samples, and personal data. Researchers opted for a crowdsourced approaches because other forms of funding and recruitment did not seem feasible. We argue that despite the narrow understanding of
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TEAM MEMBERS:
Lorenzo Del SavioBarbara PrainsackAlena Buxy
Determined to learn the extent to which a local contaminated site was impacting community health, the Native American community of Akwesasne reached out to a research university, eventually partnering on the first large-scale environmental health community based participatory research project (CBPR). Based on interviews with scientists, community fieldworkers, and study participants, this article examines the ways in which collaborating on these studies was beneficial for all parties — especially in the context of citizen science goals of education and capacity building — as well as the
Many citizen science projects deal with high attrition rates. The Dutch Great Influenza Survey is an exception to this rule. In the current study, we conducted an online questionnaire (N=1610) to investigate the motivation and learning impact of this loyal, active participant base. Results show that the desire to contribute to a larger (scientific) goal is the most important motivator for all types of participants and that availability of scientific information and data are important for learning. We suggest similar projects seek (social) media attention regularly, linking project findings to
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TEAM MEMBERS:
Anne Land-ZandstraMara M. van BeusekomCarl KoppeschaarJos M. van den Broek
This essay reflects on three figures that can be used to make sense of the changing nature of public participation in the life sciences today: outlaws, hackers and Victorian gentlemen. Occasioned by a symposium held at UCLA (Outlaw Biology: Public Participation in the Age of Big Bio), the essay introduces several different modes of participation (DIY Bio, Bio Art, At home clinical genetics, patient advocacy and others) and makes three points: 1) that public participation is first a problem of legitimacy, not legality or safety; 2) that public participation is itself enabled by and thrives on
In this essay, I argue that the rise of personal genomics is technologically, economically, and most importantly, discursively tied to the rise of network subjectivity, an imperative of which is an understanding of self as always already a subject in the network. I illustrate how personal genomics takes full advantage of social media technology and network subjectivity to advertise a new way of doing research that emphasizes collaboration between researchers and its members. Sharing one’s genetic information is considered to be an act of citizenship, precisely because it is good for the
Understanding a community's concerns and informational needs is crucial to conducting and improving environmental health research and literacy initiatives. We hypothesized that analysis of community inquiries over time at a legacy mining site would be an effective method for assessing environmental health literacy efforts and determining whether community concerns were thoroughly addressed. Through a qualitative analysis, we determined community concerns at the time of being listed as a Superfund site. We analyzed how community concerns changed from this starting point over the subsequent
A research project that is only expert-driven may ignore the role of local knowledge in research, often gives low priority to the development of a comprehensive communication strategy to engage the community, and may not deliver the results of the study to the community in an effective way. Objective: To demonstrate how a research program can respond to a community research need, establish a community-academic partnership, and build a co-created citizen science program. Methods: A place-based, community-driven project was designed where academics and community members maintained a reciprocal
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TEAM MEMBERS:
Univeristy of Wisconsin- StoutMonica Ramirez-AndreottaMark BrusseauJanick ArtiolaRaina MaierA Jay Gandolfi