Sustainability science, as described by the PNAS website, is “…an emerging field of research dealing with the interactions between natural and social systems, and with how those interactions affect the challenge of sustainability: meeting the needs of present and future generations while substantially reducing poverty and conserving the planet's life support systems.” Over the past 7 y, PNAS has published over 300 papers in its unique section on sustainability science and has received and reviewed submissions for many hundreds more. What kind of a science is sustainability science?
The concepts of sustainable development have experienced extraordinary success since their advent in the 1980s. They are now an integral part of the agenda of governments and corporations, and their goals have become central to the mission of research laboratories and universities worldwide. However, it remains unclear how far the field has progressed as a scientific discipline, especially given its ambitious agenda of integrating theory, applied science, and policy, making it relevant for development globally and generating a new interdisciplinary synthesis across fields. To address these
Right now about one billion people suffer from chronic hunger. the world’s farmers grow enough food to feed them, but it is not properly distributed and, even if it were, many cannot afford it, because prices are escalating. But another challenge looms. By 2050 the world’s population will increase by two billion or three billion, which will likely double the demand for food, according to several studies. Demand will also rise because many more people will have higher incomes, which means they will eat more, especially meat. Increasing use of cropland for biofuels will make meeting the doubling
In a sustainable world, human needs would be met without chronic harm to the environment and without sacrificing the ability of future generations to meet their needs. Addressing the grand challenge of sustainability, the U.S. National Science Foundation (NSF) has developed a coordinated research and education framework, called the Science, Engineering, and Education for Sustainability (SEES) portfolio (http://www.nsf.gov/sees). The growing family of SEES activities, currently consisting of 11 programs, represents a major interdisciplinary investment by NSF that reflects the following topical
DATE:
TEAM MEMBERS:
Tim KilleenBen Van Der PluumMarge Cavanaugh
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.
DATE:
-
TEAM MEMBERS:
Robert NewtonLuo Cassie XuMargie TurrinEinat LevMatthew Palmer
Science and technology are embedded in virtually every aspect of modern life. As a result, people face an increasing need to integrate information from science with their personal values and other considerations as they make important life decisions about medical care, the safety of foods, what to do about climate change, and many other issues. Communicating science effectively, however, is a complex task and an acquired skill. Moreover, the approaches to communicating science that will be most effective for specific audiences and circumstances are not obvious. Fortunately, there is an
DATE:
TEAM MEMBERS:
National Academies of Sciences, Engineering, and Medicine
Framing ‘science and society’ as a conflict has diverted us from more important problems. Our economic environment urges the commercialisation and social acceptance of new technologies, and science communicators and their publics contribute work to these ends. These activities neglect existing, uncontroversial technologies that, in a collaboration between responsible scientists and their publics, could be deployed to address global problems.
Factors that influence reception and use of information are represented in this koru model of science communication using the metaphor of a growing plant. Identity is central to this model, determining whether an individual attends to information, how it is used and whether access to it results in increased awareness, knowledge or understanding, changed attitudes or behaviour. In this koru model, facts are represented as nutrients in the soil; the matrix influences their availability. Communication involves reorganisation of facts into information, available via channels represented as roots
According to the Harvard Family Research Project (2010), schools need collaborative partners to help children and youth thrive. For over a decade, afterschool programs have been positioning themselves as viable partners. After all, afterschool programs challenge students’ thinking, teach collaboration, and help children and youth find their passion.
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.
DATE:
-
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.