Northern ecosystems are rapidly changing; so too are the learning and information needs of Arctic and sub-Arctic communities who depend on these ecosystems for wild harvested foods. Public Participation in Scientific Research (PPSR) presents a possible method to increase flow of scientific and local knowledge, enhance STEM-based problem solving skills, and co-create new knowledge about phenology at local and regional or larger scales. However, there remain some key challenges that the field of PPSR research must address to achieve this goal. The proposed research will make substantial contributions to two of these issues by: 1) advancing theory on the interactions between PPSR and resilience in social-ecological systems, and 2) advancing our understanding of strategies to increase the engagement of youth and adults historically underrepresented in STEM, including Alaska Native and indigenous youth and their families who play an essential role in the sustainability of environmental monitoring in the high latitudes and rural locations throughout the globe. In particular, our project results will assist practitioners in choosing and investing in design elements of PPSR projects to better navigate the trade-offs between large-scale scientific outcomes and local cultural relevance. The data collected across the citizen science network will also advance scientific knowledge on the effects of phenological changes on berry availability to people and other animals.
The Arctic Harvest research goals are to 1) critically examine the relationship between PPSR learning outcomes in informal science environments and attributes of social-ecological resilience and 2) assess the impact of two program design elements (level of support and interaction with mentors and scientists, and an innovative story-based delivery method) on the engagement of underserved audiences. In partnership with afterschool clubs in urban and rural Alaska, we will assess the impact of participation in Winterberry, a new PPSR project that investigates the effect of changes in the timing of the seasons on subsistence berry resources. We propose to investigate individual and community-level learning outcomes expected to influence the ability for communities to adapt to climate change impacts, including attributes of engagement, higher-order thinking skills, and their influence on the level of civic action and interest in berry resource stewardship by the youth groups. Using both quantitative and qualitative approaches, we compare these outcomes with the same citizen science program delivered through two alternate methods: 1) a highly supported delivery method with increased in-person interaction with program mentors and scientists, and 2) an innovative method that weaves in storytelling based on elder experiences, youth observations, and citizen science data at all stages of the program learning cycle. 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. The project also has support from the Office of Polar Programs.
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TEAM MEMBERS:
Katie SpellmanElena SparrowChrista MulderDeb Jones
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 plans to develop evidence-based principles to guide citizen science project owners in the coordinated management of project participants within the SciStarter landscape. SciStarter is a repository of over 1,500 citizen science (CS) projects. Through prior research, SciStarter 2.0 tools were developed which can be used to study and coordinate recruitment and retention strategies across projects. Coordinated management has the potential to deepen volunteer learning and growth and benefit project goals because it can address across-project skew (CS volunteers involved in multiple projects), evolving motivations, seasonal gaps, untapped synergies across projects, and other unanticipated factors that cannot be addressed via management within project silos. The project will increase the capacity of citizen science projects to achieve their myriad scientific, learning and conservation goals through enhanced coordination of volunteer management, facilitated by evidence-based guidance from the SciStarter's User's Manual for Project Owners. The findings of the research will guide project design and implementation towards synergies that increase the capacity of projects to generate scientific, learning, and conservation outcomes. Research about citizen scientists has focused on within-project assessments and comparisons of projects, but few have examined dynamics of recruitment, retention, and movement of individuals across projects. SciStarter is designed for embedded tracking of participation dynamics in a landscape of projects. The project will expand embedded assessment to measure scientific, learning, and conservation outcomes and their links to participation dynamics within and across projects. Through social network analysis, the project will describe patterns of bridges, ties, and distances among projects based on the cross-over of participants. The project will also propose qualitative research to understand project managers' perceptions of SciStarter and the costs and benefits of coordinated management of citizen scientists. The research is designed to provide insights into participation dynamics that will lead to subsequent knowledge building across citizen science projects, and determine whether new evidence about advantages and disadvantages of coordinated management will persuade project owners to rely less on the silo approach to volunteer management.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal Science Learning program funds innovative research, approaches and resources for use in a variety of settings. This Exploratory Pathways project brings together scientists and science curriculum experts with field station leaders to study informal science learning at biological field stations. The objective is to understand and evaluate the unique qualities of field stations as centers of informal and enduring science learning for the non-science community. There are over 400 field stations and represent a science communication mechanism that if available to most US citizens. This project is a collaboration between Texas A&M University and Colorado State University.
Field stations typically engage in informal science learning. While there are great examples of informal learning through outreach activities at field stations, little is known about what is happening in the aggregate at these establishments. This project documents the outreach work of field stations and explores the connections between how the outreach activities engage learners, incorporate science topics, and address science learning. By creating an Outreach Ontology, a multidimensional framework around the outreach activities, this work provides a valuable resource and reference to informal science researchers who seek to understand what informal learning projects are undertaken at field stations, and how these activities fit into the broader context of informal science learning. This project will help field stations collaborate on improving informal STEM learning activities by bringing them together to discuss their efforts and by developing a publicly available, searchable database detailing their activities. A particular benefit to advancing informal STEM learning by investigating field stations is the broad range of people and communities that are involved with and affected by field station outreach activities.
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. In this exploratory Change Makers project, the Concord Consortium will develop, test, and evaluate a citizen science program that leverages innovative technology, such that youth engage directly with energy issues through scientific inquiry. The project will create the Infrared Street View, a citizen science program that aims to produce a thermal version of Google's Street View using an affordable infrared camera attached to a smartphone. The infrared camera serves as a high-throughput data acquisition instrument that collects thousands of temperature data points each time a picture is taken. Youth will collect massive geotagged thermal data that have considerable scientific and educational value for visualizing energy usage and improving energy efficiency at all levels. The Infrared Street View program will provide a Web-based platform for youth and anyone interested in energy efficiency to view and analyze the aggregated data to identify possible energy losses. By sharing their scientific findings with stakeholders, youth will make changes to the way energy is being used. The project will start with school, public, and commercial buildings in selected areas where performing thermal scan of the buildings and publishing their thermal images for educational and research purposes are permitted by school leaders, town officials, and property owners. In collaboration with high schools and out-of-school programs in Massachusetts, this project will conduct pilot-tests with approximately 200 students.
To contribute to advancing learning, the study will probe three research questions: 1) Under what circumstances can technology bridge out-of-school and classroom science learning and improve learning on both sides? 2) To what extent can unobtrusive assessment based on data mining support research and evaluation of student learning in out-of-school settings? and 3) To what extent can instructional intelligence built into the app used in the program help students learn in out-of-school programs and improve the quality of data they contribute to the citizen science project? Data sources for investigating these questions include students' interaction data with the app logged behind the scenes and the images they have taken, as well as results based on traditional assessments from a small number of participants. Throughout the project, staff will widely disseminate project products and findings through the Internet, science fairs, conferences, publications, and partner networks. An eight-member Advisory Board consisting of cleantech experts, science educators, and educational researchers will oversee and evaluate this project.