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 project will make synthetic biology activities accessible to high school students and teachers by providing them with an authentic but safe context to learn. These activities will also broaden their understanding and perspectives about how synthetic biology and bioengineering is used in personal, health, and food production contexts as well as raise their interest in STEM. The design of bioMAKERlab will generate an educational version of an existing professional-grade lab for synthetic biology to promote safe production, accessibility, and affordability for high schools and community colleges interested in integrating such wetlab activities into their curriculum.
Most current efforts to broaden access to maker activities for K-12 students have focused on developing collaborative fabrication workspaces (fablabs) involving 3D printers, laser cutters, and other digital and traditional tools. This project will develop and implement bioMAKERlab, an innovative wetlab starter kit and activities that will enable high school students and teachers to engage in synthetic biology by building genetic circuits that let microorganisms change color, smell, and shape. In synthetic biology, participants make their own DNA--gene by gene--and then grow their designs into real applications by inserting them into microorganisms to develop different traits and characteristics provided by the genes. The project will involve students from a Philadelphia public high school and young people participating in weekend workshops at The Franklin Institute, a Philadelphia-based science museum.
This project is a part of NSF's Maker Dear Colleague Letter portfolio (NSF 15-086), a collaborative investment of Directorates for Computer & Information Science & Engineering, Education and Human Resources, and Engineering.
This summative evaluation report details the Broad Implementation of the Living Laboratory model--an initiative to promote partnership between museums and cognitive science researchers in order to promote professional learning and involve the public in scientific research. The evaluation investigated the extent of the dissemination effort’s depth, spread, sustainability, and shift in ownership, based on Coburn’s criteria for scale-up (2003). Evaluators collected data from surveys, interviews, focus groups, document review, and observations. Findings about depth suggest that adopters fully
This project by California State University San Marcos and their collaborators will expand and continue to innovate on a pilot Mobile Making program with the goal of developing a sustainable, regional model for serving underserved, middle-school aged youth in twelve after-school programs in the San Diego region. Evaluation of the current Mobile Making program has documented positive impacts on participants' interest, self-efficacy, and perception of the relevance of Making/STEM in everyday life, and led to a model for engaging underserved youth in Making. The work will focus on implementing the program model sustainably at greater capacity by increasing the number of undergraduate activity leaders, after-school sites, and level of community engagement. The expanded Mobile Making program is expected to engage ~1800 middle school youth at 12 local school sites, with activities facilitated by ~1020 undergraduate CSU-SM STEM majors. The sites are in ethnically diverse and economically disadvantaged neighborhoods, with as many as 90% of students at some sites qualifying for free or reduced price lunch. The undergraduate facilitators are drawn from CSU-SM's diverse student body, which includes 44% underrepresented minorities. Outcomes are expected to include increases in the youth participants' interest, self-efficacy, and perception of the relevance of Making/STEM in everyday life. Positive impacts on the undergraduate facilitators will include broadened technical skills, increased leadership and 21st century skills, and increased lifelong interest in STEM outreach/informal science education. The program is designed to achieve sustainability through innovative means such as involving undergraduate facilitators via Community Service Learning (rather than paid positions), and increased community engagement via development and support of a community of practice including local after-school providers, teachers, Makers, and University members. Evaluation of the program outcomes and lessons learned are expected to result in a comprehensive model for a sustainable, university-based after-school Making program with regional impact in underserved communities. Dissemination to other regions will be leveraged via CSU-SM's membership in the California State University (CSU) system, yielding a potential statewide impact. The support of the CSU Chancellor's Office and input from a CSU implementation group will ensure the applicability of the model to other regional university settings, identify common structural barriers and solutions, and increase the probability of secondary implementations. This work 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.
The Wayne State University Math Corps is a mathematics enrichment and mentoring program that operates during summers and on Saturdays. The curriculum and the teach pedagogies in this informal learning program have documented success of supporting youths' mathematics learning as well as raising achievement levels in school. Through rigorous research and evaluation, this project seeks to analyze and understand the nature, extent, and reasons for Math Corps' success with youth learning in Detroit as well as the processes of program replication in three sites: Cleveland, OH; Utica, NY; and Philadelphia, PA. As such, this project will deepen understandings of program replication and of addressing the needs of youth in economically-challenged communities in order to promote mathematics learning.
The project's research studies will assess the multiple factors that make Math Corps successful with youth in Detroit and document the implementation of the program to the three replication sites. Research methods include discourse analyses, surveys, interviews, and pre/post-tests. The project will also conduct a retrospective evaluation of Math Corps based on quantitative datasets regarding both near-term and long-term youth outcomes.
This projects is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understandings of, the design and development of STEM learning in informal environments.
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TEAM MEMBERS:
Steve KahnStephen ChrisomalisTodd KubicaCarol Philips-BeyFrancisca Richter
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This Research in Service to Practice project will examine how a wide range of pre-college out-of-school-time activities facilitate or hinder females' participation in STEM fields in terms of interest, identity, and career choices. The study will address the ongoing problem that, despite females' persistence to degree once declaring a major in college, initially fewer females than males choose a STEM career path. To uncover what these factors might be, this study will look at the extent to which college freshmen's pre-college involvement in informal activities (e.g., science clubs, internships, shadowing of STEM professionals, museum-going, engineering competitions, citizen science pursuits, summer camps, and hobbies) is associated with their career aspirations and avocational STEM interests and pursuits. While deep-seated factors, originating in culture and gender socialization, sometimes lower females' interest in STEM throughout schooling, this study will examine the degree to which out-of-school-time involvement ameliorates the subtle messages females encounter about women and science that can interfere with their aspiration to a STEM careers.
The Social Cognitive Career Theory will serve as the theoretical framework to connect the development of interest in STEM with students' later career choices. An epidemiological approach will be used to test a wide range of hypotheses garnered from a review of relevant literature, face-to-face or telephone interviews with stakeholders, and retrospective online surveys of students. These hypotheses, as well as questions about the students' demographic background and in-school experiences, will be incorporated into the main empirical instrument, which will be a comprehensive paper-and-pencil survey to be administered in classes, such as English Composition, that are compulsory for both students with STEM interests and those without by 6500 students entering 40 large and small institutions of higher learning. Data analysis will proceed from descriptive statistics, such as contingency tables and correlation matrices, to multiple regression and hierarchical modeling that will link out-of-school-time experiences to STEM interest, identity, and career aspirations. Factor analysis will be used to combine individual out-of-school activities into indices. Propensity score weighting will be used to estimate causal effects in cases where out-of-school-time activities may be confounded with other factors. The expected products will be scholarly publications and presentations. Results will be disseminated to out-of-school-time providers and stakeholders, educators, and educational researchers through appropriate-level journals and national meetings and conferences. In addition, the Public Affairs and Information Office of the Harvard-Smithsonian Center for Astrophysics will assist with communicating results through mainstream media. Press releases will be available through academic outlets and Op-Ed pieces for newspapers. The expected outcome will be research-based evidence about which types of out-of-school STEM experiences may be effective in increasing young females' STEM interests. This information will be crucial to educators, service providers, as well as policy makers who work toward broadening the participation of females in STEM.
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TEAM MEMBERS:
Roy GouldPhilip SadlerGerhard Sonnert
resourceprojectProfessional Development, Conferences, and Networks
This project will convene a workshop focused on digital micro-credentials, also known as digital badges, and the role they might play in the high-stakes process of college admission. Digital micro-credentials represent one potential mechanism for broadening access for underrepresented groups to higher education. Digital micro-credentials enable students to present a broader view of themselves as learners that connects different domains of their lives: academic, social, and personal interest-driven. As such, digital micro-credentials enable students to represent expertise and potential in ways that go beyond traditional high school grade point averages and standardized test scores. The workshop addresses questions such as: Can micro-credentials serve as valid and reliable measures of learning? What "gap" in current assessment practices can be filled by micro-credentials? What is required for micro-credentials to be useful as evidence of preparation for future learning in the college admission process?
The project's principal investigators will employ case studies, drawn from the Chicago City of Learning network (chicagocityoflearning.org) and Mouse (mouse.org) in New York City, to better understand the use of micro-credentials for learning in STEM-focused extracurricular activities. During the workshop, participants with expertise in student learning from a range of perspectives will design representations of the knowledge or skills demonstrated by students. Participating admissions officers and STEM faculty will critique the designs with respect to how well the designs demonstrate evidence of preparation for future learning by students. The workshop outcomes will include sample designs of micro-credentials that show promise to both promote learning and support college admissions. The workshop will also result in a white paper discussing the potential of micro-credentials for college admission in STEM fields by youth from underrepresented groups.
This research project builds upon an Advancing Informal STEM Learning (AISL) project (DRL#1114674) that investigated preschoolers' self-directed science, technology, engineering, and mathematics (STEM) related play experiences in outdoor nature-based playscapes. An emerging trend, nature-based playscapes have great potential for exposing young children to STEM-related phenomena, concepts, and processes in a variety of early childhood education settings, including daycare centers, pre-schools, playgrounds, and children's museums. In contrast to traditional playgrounds, playscapes are designed to result in complex, sensory-rich environments in which extensive access to natural materials and resources inspires young children's investigative and exploratory behaviors. This study explores the hypothesis that play in nature provides young children (ages 3-5) with extensive contact with science content and that a play-based curriculum could expand opportunities for STEM learning. This Research-in-Service of Practice project will: 1) design, implement, and evaluate four digital play-based professional development curriculum modules for pre-school educators across multiple partner sites; 2) research the impact of professional training on educators' facilitation of STEM content and activities; 3) examine the impacts of play-based facilitation on young children's understanding of and engagement with STEM; and 4) evaluate the transferability and sustainability of new playscape design principles at three partner sites. This investigation will be led by researchers at the University of Cincinnati in close collaboration with early childhood educators at the Arlitt Center, Cincinnati Nature Center, and two local early childhood organizations that serve children in Head Start programs. The study will use a mixed-methods approach. Data sources include video observations, behavior mapping, teacher self-studies, surveys, interviews, child assessments and children's photo documentation of their experiences. This research project is being funded by the AISL program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. Research that promotes the understanding of how designed play-based natural environments and related instructional approaches support the development of young children's engagement with STEM could lead to new learning theory, pedagogical approaches, and inform the design of effective informal learning experiences. Understanding the affordances of particular components of playscapes with respect to young children, as well as how pre-school educators could productively facilitate young children's engagement with, and understanding of, STEM would be a contribution to the informal STEM field.
This guide is intended to provide a starting point for those developing proposals and projects designed to broaden participation in science, technology, engineering and mathematics (STEM) through informal learning experiences. It is an outcome of an Association of Science-Technology Centers (ASTC)/Center for Advancement of Informal Science Education (CAISE) digital resource curation workshop (August 5, 2016) where participants identified relevant projects from the InformalScience.org database. This digital resource complements the synthesis report of the Leadership Workshop for Achieving Scale