In recent times we have allegedly witnessed a “post-truth” turn in society. Nonetheless, surveys show that science holds a relatively strong position among lay publics, and case studies suggest that science is part of their online discussions about environmental issues on social media — an important, yet strikingly under-researched, debate forum. Guided by social representation theory, this study aims to contribute knowledge about the role of science in everyday representations of livestock production on social media. The analysis identifies two central themata, namely lay publics'
Reflecting on the practice of storytelling, this practice insight explores how collaborations between scholars and practitioners can improve storytelling for science communication outcomes with publics. The case studies presented demonstrate the benefits of collaborative storytelling for inspiring publics, promoting understanding of science, and engaging publics more deliberatively in science. The projects show how collaboration between scholars and practitioners [in storytelling] can happen across a continuum of scholarship from evaluation and action research to more critical thinking
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TEAM MEMBERS:
Michelle RiedlingerJenni MetcalfeAyelet Baram-TsabariMarta EntradasMarina JoubertLuisa Massarani
This research develops a conceptual framework for telling visual stories about science using short-format videos, termed SciCommercial videos, that draw upon marketing communication. The framework is illustrated by an exemplar, the Good Whale Watching video, which is explained using a visual rhetoric keyframe analysis. Finally, the effectiveness of the video is evaluated as a science communication tool using an empirical online survey with 1698 respondents. The results highlight the benefits of using video for storytelling about science by using our framework formula, modified from marketing
Research shows that news consumption plays a positive role in youths' environmental engagement. This article examines if this also holds true for sceptics by comparing Swedish climate change sceptics with non-sceptical youngsters in their early and late adolescence. We conceptualise news consumption as foci of public connection and orientation rather than a source of environmental information. The results show that in their early teens, heavy news consumers among both sceptics and non-sceptics are indeed more engaged with environmental issues than their less news-oriented peers. However, in
This Smart and Connected Community (SCC) project will partner with two rural communities to develop STEMports, an innovative Science, Technology, Engineering and Mathematics (STEM) learning game for workforce development. The game's activities will take players on localized Augmented Reality (AR) missions to both engage in STEM learning challenges and discover emerging STEM careers in their community, specifically highlighting innovations in the fields of sustainable agriculture and aquaculture, forest products, and renewable energy. Community Advisory Teams (CATs) and co-design teams, including youth, representatives from the targeted emerging STEM economies, and decision-makers will partner with project staff to co-design STEMports that reflect the interests, cultural contexts, and envisioned STEM industries of the future for each community.
The project will: (a) design and pilot an AR game for community STEM workforce development; (b) develop and adapt a community engagement process that optimizes community networking for co-designing the gaming application and online community; and (c) advance a scalable process for wider applications of STEMports. This project is a collaboration between the Maine Mathematics and Science Alliance and the Field Day Lab at the University of Wisconsin-Madison to both build and research the co-designing of a SCC based within an AR environment. The project will contribute knowledge to the informal STEM learning, community development, and education technology fields in four major ways:
Deepening the understanding of how innovative technological tools support rural community STEM knowledge building as well as STEM identity and workforce interest.
Identifying design principles for co-designing the STEMports community related to the technological design process.
Developing social network approaches and analytics to better understand the social dimensions and community connections fostered by the STEMport community.
Understanding how participants' online and offline interactions with individuals and experiences builds networks and knowledge within a SCC.
With the scaling of use by an ever-growing community of players, STEMports will provide a new AR-based genre of public participation in STEM and collective decision making. The research findings will add to the emerging literature on community-wide education, innovative education technologies, informal STEM learning (especially place-based learning and STEM ecosystems), and participatory design research.
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.
This summative evaluation describes the FOSSIL (Fostering Opportunities for Synergistic STEM with Informal Learners) project activities and outcomes. Over the six-year funding period of this project, we developed a community of practice of more than 10,000 participants (via our web site, social media, and app) who share an interest in fossils and paleontology. This report describes the success and challenges of the FOSSIL project.
Identifying private gardens in the U.K. as key sites of environmental engagement, we look at how a longer-term online citizen science programme facilitated the development of new and personal attachments of nature. These were visible through new or renewed interest in wildlife-friendly gardening practices and attitudinal shifts in a large proportion of its participants. Qualitative and quantitative data, collected via interviews, focus groups, surveys and logging of user behaviours, revealed that cultivating a fascination with species identification was key to both ‘helping nature’ and wider
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TEAM MEMBERS:
Nirwan SharmaSam GreavesAdvaith SiddharthanHelen AndersonAnnie RobinsonLaura Colucci-GrayAgung Toto WibowoHelen BostockAndrew SalisburyStuart RobertsDavid SlawsonRené van der Wal
In citizen science, user-centred development is often emphasised for its potential to involve participants in the development of technology. We describe the development process of the mobile app “Naturblick” as an example of a user-centred design in citizen science and discuss digital user feedback with regard to the users' involvement. We have identified three types of digital user feedback using qualitative content analysis: general user feedback, contributory user feedback and co-creational user feedback. The results indicate that digital user feedback can link UCD techniques with more
Polar Literacy: A model for youth engagement and learning will foster public engagement with polar science. The project targets middle-school aged underserved youth and polar research scientists, with the goal to increase youth interest in and understanding of Polar Regions, and to hone researchers' science communication skills. The project will develop affordable and replicable ways of bringing polar education to informal learning environments, extend our understanding of how polar education initiatives can be delivered to youth with maximum effect, and design a professional development model to improve the capacity for Polar Region researchers to craft meaningful broader impact activities. Polar Literacy will create and test a model which combines direct participation by scientists in after-school settings, with the use of curated polar research data sets and data visualization tools to create participatory learning experiences for youth. Beyond the life of the project funding, many of the project deliverables (including kits, videos, and other resources) will continue to be used and disseminated online and in person through ongoing work of project collaborators.
Polar Literacy: A model for youth engagement and learning will advance the understanding of informal learning environments while leveraging the rich interdisciplinary resources from polar investments made by the National Science Foundation (NSF). The project's key audiences -- polar researchers, informal educators, and out-of-school time (OST) youth in grades 4-7 (ages 9-13) -- will connect through both place-based and internet-based experiences and work collaboratively to generate a flexible, scalable, and transferable education model. The project will 1) design OST kits and resource guides (focused on Polar Literacy Principles) and include "Concept in a Minute" videos designed to highlight enduring ideas, 2) provide professional development for informal educators, 3) synthesize a club model through adaptation of successful facets of existing informal learning programs, and 4) create Data Jam events for the OST Special Interest (SPIN) clubs and camp programs by modifying an existing formal education model. A research design, implemented at four nodes over three years, will answer three research questions to evaluate the impact of professional development on informal educators, as well as the impact of programs on youth, and the effectiveness of the model. In addition to the project team and collaborators who are informal education practitioners, an advisory board composed of experts in youth programming, informal education, and evaluation will guide the project to ensure that it advances the body of informal STEM learning research.
Polar Literacy is an Advancing Informal STEM Learning (AISL) Innovations in Development project in response to the Dear Colleague Letter: Support for Engaging Students and the Public in Polar Research (NSF 18-103). Polar Literacy 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 (Science, Technology, Engineering, Mathematics) learning in informal environments. This project has co-funding support from the Antarctic section of the Office of Polar Programs.
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:
Janice McDonnellOscar SchofieldCharles LichtenwalnerJason Cervenec
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.
The STEM + Digital Literacies (STEM+L) project investigates science fiction composing as an effective mechanism to attract and immerse adolescents (ages 10-13) from diverse cultural backgrounds in socio-scientific issues related to environment.
The participating students (G5-8) work in small groups to design and produce STEM content rich, multimedia science fictions during the summer (1 week) and the academic year (4-6 2.5hr sessions). Culminating activities include student presentations at a local science fiction film festival.
The research component employs an iterative, design-based
This project develops and examines place-based learning using mobile augmented reality experiences for rural families where museums and science centers are scarce yet where natural resources are rich with outdoor trails, parks, and forestlands. The collaborative research team, with members from rural libraries, outdoor learning centers, learning scientists at Penn State University, and rural communities in Pennsylvania, will develop augmented reality and mobile learning resources for families and children aged from 4 to 12. The goal is to help people see what is not visible in real-time in order to learn about life and earth sciences based on local watersheds, trees, and seasonal cycles that are familiar and relevant to rural communities. To accomplish this goal, the project team will create scientifically meaningful experiences for rural families and children in their out-of-school time through three iterations of research and design. Although there is evidence that augmented reality can support learning, little empirical research has been conducted to determine what makes one type of augmented learning experience more effective than others in outdoor learning spaces. This project will produce research findings on the utility of augmented reality for science learning with families and youths outdoors. This Innovations in Development 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
Through a four-year design-based research study, researchers will investigate three research questions. (1) How can outdoor learning experiences be enhanced with augmented reality and digital resources in ways that make science more visible and interesting?; (2) How do different forms of augmentations on trails and in gardens support science learning? 3) What social roles do children and parents play in supporting each other's science learning and connections to rural communities? Data collection includes video-recordings of children and families in the outdoors, learning analytics of people's behavior, and interviews with rural families. The project's research design will allow for the development of theory, which supports rural families learning science within and about their communities. At the end of the project, the team will offer generalizable design principles for technologically-enhanced informal learning for outdoor displays, gardens, and trails.
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.