This summary brief captures highlights from the second year of the NSF-funded WaterMarks project. The technical evaluation report for this same project period can be found on the main project page. The purpose of this document is to communicate key updates (as observed by the evaluation team) in a less technical way with the many different audiences who have an interest in keeping up with WaterMarks.
This is the evaluation report for the second year of the NSF-funded WaterMarks project. It reflects a current summary of available evidence about the intended outcomes of program activities to date, as well as commentary on how the project is using (or could use) this information moving forward.
The Arctic Harvest-Public Participation in Scientific Research (which encompasses the Winterberry Citizen Science program), a four-year citizen science project looking at the effect of climate change on berry availability to consumers has made measurable progress advancing our understanding of key performance indicators of highly effective citizen science programs.
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TEAM MEMBERS:
Angela LarsonKelly KealyMakaela Dickerson
We examined an approach to reaching audiences who may not ordinarily engage with science. Termed Guerilla Science, this approach blends elements of access, by removing barriers to participation by embedding science into unexpected places, with those of inclusion, by designing activities that speak to the learning identities of participants.
This summary brief captures highlights from the evaluation report for the first year of the NSF-funded WaterMarks project (also available on this page). The purpose of this document is to communicate key updates from evaluation in a less technical way with the many different audiences who have an interest in keeping up with WaterMarks.
This is the evaluation report for the first year of the NSF-funded WaterMarks project. It reflects an initial summary of available evidence about the intended outcomes of program activities to date, as well as commentary on how the project is using (or could use) this information moving forward. This report contains descriptions of embedded measures (i.e. anonymized drawings and reflections captured on a thematic postcard) included in community walks and analyses of secondary data (i.e., interviews conducted by other members of hte project team), as well as reflections emerging from the
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Programming includes
Neighborhood Walks led by teams of scientists/engineers and artists
Community Workshops, Local Artist Projects, and Youth Mentorship focused on neighborhood and citywide water issues
Intergenerational participation, from seniors and adult learners to young adults, teens, and middle schoolers
A mixed-methods series of surveys were used to explore public literacy related to environmental science and sustainability in Indianapolis. Surveys also explored predictive variables including environmental identity, nature affinity, use of nature places as learning opportunities, and motivations for visiting nature spaces. An online, citywide consumer survey was distributed alongside a parallel identical survey of employees at a major science-based corporation to assess variation in knowledge, attitudes, and learning behaviors. This science-based corporation provides substantial support to
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TEAM MEMBERS:
John FraserSu-Jen RobertsNezam Ardalan
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
Learn how to create opportunities for young people from low-income, ethnically diverse communities to learn about growing food, doing science, and how science can help them contribute to their community in positive ways. The authors developed a program that integrates hydroponics (a method of growing plants indoors without soil) into both in-school and out-of-school educational settings.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.