RISES (Re-energize and Invigorate Student Engagement through Science) is a coordinated suite of resources including 42 interactive English and Spanish STEM videos produced by Children's Museum Houston in coordination with the science curriculum department at Houston ISD. The videos are aligned to the Texas Essential Knowledge and Skills standards, and each come with a bilingual Activity Guide and Parent Prompt sheet, which includes guiding questions and other extension activities.
This short (approximately 2-3 hours), self-paced non-credit learning module is designed for those new to conducting research in communities impacted by energy development. You will learn about the concept of “research fatigue” and become more prepared for fieldwork by learning what to expect when you visit energy-impacted communities.
Access is free for students, researchers and those living in or serving communities impacted by energy development.
Participants who complete the online course can a digital badge called Understanding Research Fatigue. Earners of this certification will
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TEAM MEMBERS:
Suzi TaylorJulia Hobson HaggertyKristin SmithRuchie Pathak
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
Literacy Volunteers of America (LVA) - Monroe County, Inc. and The College of Exploration are developing and implementing a pilot project to target traditionally under-represented ethnic groups who are limited English proficient-- many reading and writing in English at the grade 0 - grade 5.5 level. The project goals are for learners of English as a Second Language (ESL) to use digital photo cameras, digital video cameras, waterproof underwater HD cameras and GPS technologies to geo-locate, explore, observe, record, display and tell stories in English both in words, photos and short HD video clip sequences. Stories will be about the exploration of places like the National Marine Sanctuaries and other areas of the country and coasts where there are scientific observation and monitoring opportunities created and supported by NOAA partners.
To explore the role and impact of The Innovation Lab at Youth Radio, Rockman et al, an independent research and evaluation organization, conducted an external evaluation of the project. With funding from the National Science Foundation’s Advancing Informal STEM Learning (AISL) program, the Innovation Lab sought to develop and research a scalable, evidence-informed theory of action to engage underrepresented youth in Science, Technology, Engineering, and Mathematics (STEM) learning through the collaborative creation and dissemination of original journalistic media, technology, and curriculum
Co-led by the University of Washington and Science Gallery Dublin, this project aims to drive and transform the next generation of broadening participation efforts targeting teen-aged youth from communities historically underrepresented in STEM fields. This project investigates how out-of-school time (OST) programs that integrate epistemic practices of the arts, sciences, computer science, and other disciplines, in the context of consequential activities (such as creating radio segments, designing museum exhibitions, or building online games), can more broadly appeal to and engage youth who do not already identify as STEM learners. STEM-related skills and capacities (such as computational thinking, design, data visualizations, and digital storytelling) are key to productive and creative participation in many future civic and workplace activities, and are driving the 30 fastest-growing occupations in the US. But many new jobs will entail a hybrid blend of skills, such as programming and design skills that many students who have disengaged with academic STEM pathways may already have and would be eager to develop further. There is not currently a strong foundation of research-based evidence to guide the design, implementation, and evaluation transdisciplinary programs - in which STEM skills are embedded as tools for meaningful participation - or how such approaches relate to long-term outcomes. Hypothesizing that OST programs which effectively engage youth during their high-leverage teenage years can significantly impact youths' longer-term STEM learning trajectories, this project will involve: 1) Five 3-year studies documenting learning in different technology-rich contexts: Making Afterschool, Media Production, Museum Exhibition Design, Digital Arts Programs, and Pop-Up/Street Science Programs; 2) A 4-year longitudinal study, involving 100 youth from the above programs; 3) The creation of a number of practical measurement tools that can be used to monitor how programs are leveraging the intersections of the arts and sciences to support student engagement and learning; and 4) A Professional Development program conducted at informal science education conferences in the EU and US to engage the informal STEM field with emerging findings. This project is funded through Science Learning+, which is an international partnership between the National Science Foundation (NSF) and the Wellcome Trust with the UK Economic and Social Research Council. The goal of this joint funding effort is to make transformational steps toward improving the knowledge base and practices of informal STEM experiences to better understand, strengthen, and coordinate STEM engagement and learning. Within NSF, Science Learning+ is part of the Advancing Informal STEM Learning (AISL) program that seeks to enhance learning in informal environments.
Transdisciplinary, equity-oriented OST programs can provide supportive social contexts in which STEM concepts and practices are taken up as the means for meaningful participation in valued activities, building students' STEM skills in ways that can propel their future academic, career, and lifelong learning choices. This project will build the knowledge base about these emerging 21st century transdisciplinary approaches to broadening participation investigating: 1) The epistemic intersections across a range of disciplines (art, science, computation, design) that operate to broaden appeal and meaningful participation for underrepresented youth; 2) How transdisciplinary activities undertaken in the context of consequential learning (e.g., producing a radio segment, designing an exhibition for the general public) can illuminate the relevance of STEM to young people's lives, concerns, and futures; and 3) How participation in such programs can propel students' longer-term life choices and STEM learning trajectories. The project is a collaboration of the University of Washington, Science Gallery Dublin, Indiana University, Youth Radio in Oakland California, Guerilla Science in New York and London, and the London School of Economics.
Informal learning opportunities are increasingly being recognized as important for youth participation in authentic experiences at the intersection of science, technology, engineering, and math (STEM) (Dorsen, Carlson, and Goodyear 2006). These experiences may involve specialized equipment and dedicated time for learners to gain familiarity with the relevant scientific and engineering practices (i.e., designing experiments on their own, struggling to make sense of data, learning from their own mistakes and the results of peers), which often go beyond the classroom. However, the educators who
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TEAM MEMBERS:
Kathryn WilliamsonSue Ann HeatherlyVivian HoetteEva Erdosne TothDavid Beer
Changes in household-level actions in the U.S. have the potential to reduce rates of greenhouse gas (GHG) emissions and climate change by reducing consumption of food, energy and water (FEW). This project will identify potential interventions for reducing household FEW consumption, test options in participating households in two communities, and collect data to develop new environmental impact models. It will also identify household consumption behavior and cost-effective interventions to reduce FEW resource use. Research insights can be applied to increase the well-being of individuals at the household level, improve FEW resource security, reduce climate-related risks, and increase economic competitiveness of the U.S. The project will recruit, train, and graduate more than 20 students and early-career scientists from underrepresented groups. Students will be eligible to participate in exchanges to conduct interdisciplinary research with collaborators in the Netherlands, a highly industrialized nation that uses 20% less energy and water per person than the U.S.
This study uses an interdisciplinary approach to investigate methods for reducing household FEW consumption and associated direct and indirect environmental impacts, including GHG emissions and water resources depletion. The approach includes: 1) interactive role-playing activities and qualitative interviews with homeowners; 2) a survey of households to examine existing attitudes and behaviors related to FEW consumption, as well as possible approaches and barriers to reduce consumption; and 3) experimental research in residential households in two case-study communities, selected to be representative of U.S. suburban households and appropriate for comparative experiments. These studies will iteratively examine approaches for reducing household FEW consumption, test possible intervention strategies, and provide data for developing systems models to quantify impacts of household FEW resource flows and emissions. A FEW consumption-based life cycle assessment (LCA) model will be developed to provide accurate information for household decision making and design of intervention strategies. The LCA model will include the first known farm-to-fork representation of household food consumption impacts, spatially explicit inventories of food waste and water withdrawals, and a model of multi-level price responsiveness in the electricity sector. By translating FEW consumption impacts, results will identify "hot spots" and cost-effective household interventions for reducing ecological footprints. Applying a set of climate and technology scenarios in the LCA model will provide additional insights on potential benefits of technology adoption for informing policymaking. The environmental impact models, household consumption tracking tool, and role-playing software developed in this research will be general purpose and publicly available at the end of the project to inform future education, research and outreach activities.
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TEAM MEMBERS:
David WatkinsBuyung AgusdinataChelsea SchellyRachael ShwomJenni-Louise Evans
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.
The people of Val di Susa (Italy) blocked the construction of the new high-speed railway line that should connect Turin with Lyons (France). This project is regarded as a strategic achievement for the economic development of the European Union, but local communities have a different concept of development and are asserting their rights through ad hoc experts’ reports and the production “from the bottom” of new specialised knowledge. We shall describe these events as a case study to put ecological democracy to the test of facts, also through a comparison with the experimental actions taken in
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TEAM MEMBERS:
Yurij CastelfranchiGiancarlo Sturloni
Despite new governmental initiatives aiming to engage the general public in policymaking related to nuclear energy, little is known about how expert stakeholders involved in the decision-making process perceive such activity. This study examines how a series of social, cognitive and communication factors influences expert stakeholders’ attitudes toward public participation in policy decisions related to nuclear energy. Specifically, using data from a survey of 557 experts identified through content analyses of public meeting records, we find that among those perceiving public opinion as being
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TEAM MEMBERS:
Nan LiLeona Yi-Fan SuXuan LiangDominique BrossardDietram Scheufele