This document is the final evaluation report for the project, which focuses both on formative evaluation of the collaborative+interdisciplinary presentation creation process and summative evaluation of audience learning outcomes.
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
The Jackprot is a didactic slot machine simulation that illustrates how mutation rate coupled with natural selection can interact to generate highly specialized proteins. Conceptualized by Guillermo Paz-y-Miño C., Avelina Espinosa, and Chunyan Y. Bai (New England Center for the Public Understanding of Science, Roger Williams University and the University of Massachusetts, Dartmouth), the Jackprot uses simplified slot-machine probability principles to demonstrate how mutation rate coupled with natural selection suffice to explain the origin and evolution of highly specialized proteins. The
This proposal requests partial funding for the development of a new paleobiology hall at the University of Nebraska State Museum. This project will give students and the general public a dynamic view of the period of time known as the Age of Reptiles. It emphasizes experience with interactive exhibits that focus on concepts of geologic time, how species adapt and change, relative size, scale and time, the activities of scientists as role models, and it provides reinforcement of these experiences for students in the classroom. This project includes the first use in a museum of SemNet, a software program designed for concept mapping and the representation of knowledge networks, which will be used with a videodisc. Prototypes of all interactive exhibits will undergo formative evaluation to establish maximal audience accessibility, ease of use and educational effectiveness. The exhibit concepts will be disseminated throughout the state of Nebraska through mini- versions, teachers in-service training, and scientist-in- residence programs. This project will also be used as a teaching laboratory for the University of Nebraska's graduate program in Museum Studies.
The Physics and Chemistry Education Technology (PhET) Project is developing an extensive suite of online, highly-interactive simulations, with supporting materials and activities for improving both the teaching and learning of physics and chemistry. There are currently over 70 simulations and over 250 associated activities available for use from the PhET website (http://phet.colorado.edu). These web-based resources are impacting large number of students. Per year, there are currently over 4 million PhET simulations run online and thousands of full website downloads for offline use of the simulations. The goal is that this widespread use of PhET's research-based tools and resources will improve the education of students in physics and chemistry at colleges and high schools throughout the U.S. and around the world. This PhET project combines a unique set of features. First, the simulation designs and goals are based on educational research. Second, using a team of professional programmers, disciplinary experts, and education research specialists enables the development of simulations involving technically-sophisticated software, graphics, and interfaces that are highly effective. Third, the simulations embody the predictive visual models of expert scientists, allowing many interesting advanced concepts to become widely accessible and revealing their relevance to the real world. And finally, the project is actively involved in research to better understand how the design and use of simulations impacts their effectiveness - e.g. investigating questions such as "How can these new technologies promote student understanding of complex scientific phenomena?" and "What factors inhibit or enhance their use and effectiveness?".
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TEAM MEMBERS:
Katherine PerkinsMichael DubsonNoah FinkelsteinRobert ParsonCarl Weiman