The Yellowstone Altai-Sayan Project (YASP) brings together student and professional researchers with Indigenous communities in domestic (intermountain western U.S.) and international (northwest Mongolian) settings. Supported by a National Science Foundation grant, MSU and tribal college student participants performed research projects in their home communities (including Crow, Northern Cheyenne, Fort Peck Assiniboine & Sioux, and Fort Berthold Mandan, Hidatsa and Sahnish) during spring semester 2016. In the spirit of reciprocity, these projects were then offered in comparative research contexts during summer 2016, working with Indigenous researchers and herder (semi-nomadic) communities in the Darhad Valley of northwestern Mongolia, where our partner organization, BioRegions International, has worked since 1998. In both places, Indigenous Research Methodologies and a complementary approach called Holistic Management guided how and what research was performed, and were in turn enriched by Mongolian research methodologies. Ongoing conversations with community members inspire the research questions, methods of data collection, as well as how and what is disseminated, and to whom. The Project represents an ongoing relationship with and between Indigenous communities in two comparable bioregions*: the Big Sky of the Greater Yellowstone Ecosystem, and the Eternal Blue Sky of Northern Mongolia.
*A ‘bioregion’ encompasses landscapes, natural processes and human elements as equal parts of the whole (see http://bioregions.org/).
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TEAM MEMBERS:
Kristin RuppelClifford MontagneLisa Lone Fight
Finding inclusive approaches to broaden the participation of underrepresented communities in the sciences is the focus of this project. The team will create pathways for Native American students from the development of new partnerships between tribal communities and STEM institutions that promote the participation and inclusion of Native American scientists in the geosciences. Each partner brings a successful program, based on good practices from the research literature in improving outcomes for underrepresented students and scientists. Together, the researchers will create scientific collaborations that support a pipeline for Native American students from middle school through to graduate school and beyond. In addition, the project will work on building welcoming workplace climates for indigenous researchers within ?traditional Western? organizations. The approach will integrate indigenous and Western knowledge in research collaborations to create more creative, innovative, and culturally relevant science research programs.
This project, Integrating Indigenous and Western Knowledge to Transform Learning and Discovery in the Geosciences, uses the principles of collective impact to create new partnerships between tribal communities and STEM institutions that promote the participation and inclusion of Native American scientists in the geosciences. The project collaborators will more strongly integrate indigenous and Western knowledge into collectively-developed research projects. The project partners the Rising Voices: Collaborative Science for Climate Solutions (Rising Voices) and member tribal colleges and communities with Haskell Indian Nations University, the National Center for Atmospheric Research (NCAR), the University of Arizona?s Biosphere 2, and National Center for Atmospheric Research?s Significant Opportunities in Atmospheric Research and Science (SOARS) internship and Global Learning and Observation to Benefit the Environment (GLOBE) citizen science programs. Together, they will build research partnerships between Native American and traditional Western scientists, provide professional development for NCAR and Biosphere 2 scientists on how to engage appropriately with tribal communities, and provide pathways for NA students from middle school through college, to grad school and beyond. The project will connect community-based citizen science programs for middle- and high school youth with undergraduate programs at Haskell Indian Nations University and University of Arizona, and with summer research internship experiences for undergraduates and graduate students that address topics of interest across tribal communities, tribal college faculty, traditional science institutions, and community-based citizen science. This project also enhances the research capacity of all partners, and brings together diverse perspectives, which have been shown to lead to greater innovation, creativity, and higher impact research. The project has the potential to provide a tried and tested model for building similar partnerships at other institutions, including content and methods for professional development for mainstream scientists, ways to create more welcoming spaces for Native American students and scientists, promising practices for improving how research in the geosciences carried out, and an increase in the representation of Native American students and scientists in that vital research enterprise.
The Colleges of Science & Engineering and Graduate Education, and the Metro Academies College Success Program (Metro) at San Francisco State University in partnership with San Francisco Unified School District and the San Francisco Chamber of Commerce develop an integrated approach for computing education that overcomes obstacles hampering broader participation in the U.S. science, technology, engineering and mathematics (STEM) workforce. The partnership fosters a more diverse and computing-proficient STEM workforce by establishing an inclusive education approach in computer science (CS), information technology, and computer engineering that keeps students at all levels engaged and successful in computing and graduates them STEM career-ready.
Utilizing the collective impact framework maximizes the efficacy of existing regional organizations to broaden participation of groups under-educated in computing. The collective impact model establishes a rich context for organizational engagement in inclusive teaching and learning of CS. The combination of the collective impact model of social agency and direct engagements with communities yields unique insights into the views and experiences of the target population of students and serves as a platform for national scalable networks.
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TEAM MEMBERS:
Keith BowmanIlmi YoonLarry HorvathEric HsuJames Ryan
This NSF INCLUDES Launch Pilot project, STEPs to STEM, will create a statewide STEM pipeline within an integrated program of community college education throughout the state prisons of New Jersey. The Pilot leverages a long-standing collaboration among education, government, and volunteer sectors including NJ-Scholarship and Transformative Education in Prisons (STEP), all of whom commit to work together to accredit and ensure articulation (transferability) of the required STEM courses. The broadening participation challenge that will be addressed by this Pilot is to extend college-level STEM education to incarcerated persons, who are overwhelmingly minorities from the lowest socioeconomic levels of American society. Education in general and STEM education in particular equips students for high-level workforce readiness, offering improved quality of life for formerly incarcerated persons and their families and contributing to American economic success.
Technical Abstract:
Four major goals of the Pilot are: 1. consolidate and ensure articulation of STEM A.A. courses in NJ state prisons with a seamless path to B.A. study at Rutgers, the State University of New Jersey; 2. begin teaching new accredited STEM courses and offering REU and internship opportunities to released students; 3. implement tracking of students in STEM courses while incarcerated and beyond, enabling a supplementary research goal to evaluate student and teacher performance in comparison with mainstream educational settings; 4. work with partners in business, government, non-profit, development, and public sectors to build a complete STEM pipeline with a long-term goal of enabling formerly incarcerated students to clear their records through education and workforce participation in STEM. Implementation of the goals will proceed as follows. Senior personnel from each of the cooperating institutions and a jointly-supervised postdoctoral trainee will negotiate the terms of accreditation and articulation across the state system with our partner, the lead accreditation institution, Raritan Valley Community College. Teaching of STEM courses by our established team of volunteers will commence as each course is accredited. Our industry and research partners will begin offering REU and training internships in the first summer. Educational research professional on the team will guide the design, implementation, and analysis of student and teacher performance. New partners will be brought in to the collective from the non-profit, business, and public sectors to extend the reach and impact of this initiative.
This is a two-year "Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science" (INCLUDES) Design and Development Launch Pilot targeting high school students in the Hudson Valley, including the New York Metropolitan Area. It will support a network of institutional partners that are committed to providing internship and mentoring opportunities to youths interested in authentic research projects. The proposed work will build on a current research immersion program--the Secondary School Field Research Program (SSFRP) at Columbia University's Lamont-Doherty Earth Observatory. SSFRP serves high school students, mainly from underrepresented and underserved communities, who work with college students, science teachers, and researchers around a specific science problem. Over the past decade, the program has had demonstrable impact, including attendance to college, and students' selection of STEM majors. Tracking data indicates that retention rates of its alumni in four-year colleges are well above the norm, and a significant fraction of early participants are now in graduate programs in science or engineering. The program has surpassed all expectations in its effectiveness at engaging underserved populations in science and promoting entry into college, recruitment into STEM majors, and retention through undergraduate and into graduate studies. Hence, the project's overall goal will be to extend and adapt the research-immersive summer internship model through an alliance with peer research institutions, school districts and networks, public land and resource management agencies, private funding agencies, informal educational institutions, and experts in pedagogical modeling, metrics, and evaluation. Focused on earth and environmental sciences, the summer and year-round mentoring model will allow high school students to work in research teams led by college students and teachers under the direction of research scientists. The mentoring model will be multilayered, with peer, near-peer, and researcher-student relationships interweaving throughout the learning process.
The project has formulated a set of testable explanatory hypotheses: (1) Beyond specific subject knowledge, success rests on increased student engagement in a community of practice, with near-peer mentors, teachers, and scientists in the context of scientific research; (2) The intensity of engagement also shifts the students' vision of their future to include higher education, and specifically to imagine and move toward a STEM career; and (3) Early engagement, before students attend college, is critical because high school is where students form patterns of engagement and capacities related to science learning. Thus, the immediate goal of the two-year plan will be to create approximately 11 research internship programs focused on earth and environmental sciences, and to build the networks for growth through engagement with a wider community of educational partners. The main focus of this approach will be removing barriers between high school students and STEM organizations, and adapting the current mentoring model at Columbia University to the specific cultures of other research groups and internship programs throughout the lower Hudson Valley. The team has already assembled a diverse set of partners committed to broadening participation in STEM using a collective impact approach to early engagement in project-based learning. Research partners will provide the mentors, research projects, and laboratory facilities. The educational network partners will provide access for students, particularly those from under-resourced communities to participate, as well as participation opportunities for interested teachers. Informal learning organizations will provide access to field and research sites, along with research dissemination opportunities. In Year 1, the project will conduct a series of development workshops for partners already in place and foster the formation of new partnership clusters according to shared interest, complementary resources and geographic proximity. The workshops will provide a forum for partners to learn about each other's visions, values, challenges, and existing structures, while working through theoretical and practical issues related to STEM engagement for young investigators. In Year 2, the project will target the implementation of the internship programs at various sites according to the agreed-upon goals, program model, research projects, recruitment and retention strategy, staff training, data collection, and evaluation plans. An external evaluator will address both the formative and summative evaluation of the effort directed toward examining the three project's hypotheses concerning the educational impacts of scientific research on student engagement, extent of the immersion, and overall effectiveness of the programs.
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TEAM MEMBERS:
Robert NewtonLuo Cassie XuMargie TurrinEinat LevMatthew Palmer
resourceprojectProfessional Development, Conferences, and Networks
Physics awards smaller percentages of PhDs to women (19%) and underrepresented ethnic and racial minorities (7%) than any other field in the sciences, and underrepresentation is especially pronounced at selective universities. As global competition for scientific talent heats up and US demographics shift, cultivating a robust domestic workforce is critical to US technological leadership. We seek to build on the successful American Physical Society Bridge Program (apsbridgeprogram.org) by transforming physics graduate education to fully support the inclusion of women and ethnic and racial minorities. Our vision is to create a national network of disciplinary colleagues, expert researchers, and representatives from professional associations who will develop and build evidence-based knowledge of effective practices for recruitment, admissions, and retention of women and underrepresented ethnic and racial minorities. This pilot project will include six large, highly selective physics graduate programs to demonstrate and map out a plan for a discipline-wide effort. The pilot focuses on improving admissions practices, because this strategy promises immediate and measurable impact backed by extant research. The pilot will also take exploratory steps to develop scalable recruitment and retention strategies. To refine interventions, we will conduct research to identify and understand demographically-based loss points of students in graduate physics programs and to understand how network participation facilitates change. The project will also establish connections with other STEM disciplines, beginning with mathematics and chemistry, to explore expanding these efforts.
This project is grounded in research on diversity in graduate education, organizational learning, and the resources of networks to catalyze cultural change. The project team includes expertise in institutional change, graduate admissions, student success, diverse and inclusive environments, and social science research. The pilot advances a novel research agenda on inclusion in STEM by addressing recruitment, admissions, and retention in physics graduate education as interconnected challenges of faculty learning, professional networks, and disciplinary cultural change. Physics graduate programs will report admissions data and common metrics, and will document changes resulting from project activities. Faculty will be trained on holistic admissions and diversity in selection processes, and be guided in the use of inclusive admissions practices. An external evaluator will examine project effectiveness and readiness for scaling to an Alliance phase project.
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TEAM MEMBERS:
Monica PlischTheodore HodappJulie PosseltGeraldine CochranCasey Miller
Through the NSF Innovation Corps for Learning Program, (I-Corps L), this project will develop ways to enable the SciStarter program to extend the promise of citizen science by connecting millions of citizen scientists with scientists in need of their help through formal and informal research projects. Citizen science is a fast growing field that engages the public in scientific inquiry through data collection projects and environmental monitoring using sensors, mini spectrometers, water testing kits and other tools. A challenge for the citizen science community has been access to the tools required to collect the types of data needed in citizen science projects. SciStarter facilitates broader participation in citizen science by reducing the barrier for volunteers to identify, acquire, and use the right scientific tools and instruments for each project. This I-Corps for Learning project will develop approaches to enable SciStarter to provide a larger number of citizen scientists with easier access to required and recommended instruments needed for meaningful participation in citizen science projects.
SciStarter aims to provide a holistic solution to the needs of citizen scientists that includes projects, support, and products such as training materials and consulting. SciStarter can be a catalyst in citizen science by connecting people to opportunities to engage and in lowering barriers to public participation in scientific research while creating a hybrid academic-consumer sustainability model. A central focus of this current effort will be establishing a sustainable and scalable means of enabling citizen scientists to obtain equipment and instruments in an efficient and cost-effective manner. The project will make use of elements already in place to expand the engagement of citizen scientists in new or multiple projects, to empower citizens in the process of citizen science, and to provide a useful, scalable and sustainable solution for scientists leading citizen science research projects. The extension of SciStarter will set the stage for greater inclusion of previously marginalized groups in citizen science activities and will extend to all forms of public engagement in science.
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 INSPIRE project addresses the issue of high volume hydraulic fracturing, also called fracking, and its effects on ground water resources. Fracking allows drillers to extract natural gas from shale deep within the earth. Methane gas sometimes escapes from shale gas wells and can contaminate water resources or leak into the atmosphere where it contributes to greenhouse gas emissions. Monitoring for these potential leaks is difficult because methane is also released into aquifers naturally, and because monitoring is time- and resource-intensive. Such subsurface leakage may also be relatively rare. This project seeks to improve overall understanding of the impacts of natural gas drilling using both advances in computer science and geoscience, and to teach the public about such impacts. The project will elucidate both the effects of human activities such as shale gas development as well as natural processes which release methane into natural waters. Results of the proposed research will lead to a better understanding of water quality in areas of shale-gas development and will highlight problems and potentially problematic management practices. The research will advance both the fields of geoscience and computer science, will train interdisciplinary graduate students, and involve citizen scientists in collecting data and understanding environmental data analysis.
The project combines new hydro-geochemical strategies and data mining approaches to study the release of methane into streams and ground waters. For example, researchers will explore how to analyze the heterogeneous spatial data that describe distributions of methane concentrations in natural waters. The objectives of this project are to i) transform the ability to measure methane in streams; ii) train citizen scientists to work with project scientists to sample streams in an area of shale-gas development and publish large-volume datasets of methane in natural waters and aquifers; iii) innovate data mining and machine learning methods for environmental data to identify anomalous spots with potential leakage; iv) run field campaigns to measure methane concentrations and isotopic signatures of water samples in these spots; v) foster dialogue among nonscientists, consultants, university scientists, members of the gas industry, government agencies, and nonprofit organizations in and beyond the target region. Toward this end, the team will host workshops aimed to build dialogue among stakeholders and will release data analytic software for environmental measurements to benefit a broader research community.
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.
This one-year Collaborative Planning project seeks to bring together an interdisciplinary planning team of informal and formal STEM educators, researchers, scientists, community, and policy experts to identify the elements, activities, and community relationships necessary to cultivate and sustain a thriving regional early childhood (ages 3-6) STEM ecosystem. Based in Southeast San Diego, planning and research will focus on understanding the needs and interests of young Latino dual language learners from low income homes, as well as identify regional assets (e.g., museums, afterschool programs, universities, schools) that could coalesce efforts to systematically increase access to developmentally appropriate informal STEM activities and resources, particularly those focused on engineering and computational thinking. This project has the potential to enhance the infrastructure of early STEM education by providing a model for the planning and development of early childhood focused coalitions around the topic of STEM learning and engagement. In addition, identifying how to bridge STEM learning experiences between home, pre-k learning environments, and formal school addresses a longstanding challenge of sustaining STEM skills as young children transition between environments.
The planning process will use an iterative mixed-methods approach to develop both qualitative and quantitative and data. Specific planning strategies include the use of group facilitation techniques such as World Café, graphic recording, and live polling. Planning outcomes include: 1) a literature review on STEM ecosystems; 2) an Early Childhood STEM Community Asset Map of southeast San Diego; 3) a set of proposed design principles for identifying and creating early childhood STEM ecosystems in low income communities; and 4) a theory of action that could guide future design and research. This project is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.