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resource research Media and Technology
Peter Weingart and Lars Guenther have written a short but nevertheless comprehensive stock-taking of science communication and the issue of trust. I fully agree with almost all of their theoretical and critical observations. My aim is to critically discuss the understanding of trust as expressed in the traditional discourse on science communication. From my point of view, this concept of trust in science reveals severe shortcomings. As a consequence, communication strategies following this concept could even jeopardize trust in science.
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TEAM MEMBERS: Matthias Kohring
resource research Media and Technology
Peter Weingart and Lars Guenther suggest that the public's trust in science has become endangered due to a new ecology of science communication. An implicit theoretical base of their argument is that the integrity of science as an institution depends on the integrity of science as a profession. My comment aims to reconstruct and question this specific institutional understanding of science. I argue that rust in technologies of knowledge production might be a potential equivalent to trust in professions.
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TEAM MEMBERS: Sascha Dickel
resource research Media and Technology
Trust in science is, to a considerable extent, the outcome of communication. News and online media in particular are important mediators of trust in science. So far, however, conceptual works on mediated trust in science are lacking. Taking a cue from Weingart & Guenther, this commentary proposes a concept of mediated trust in science and for its measurement, and shows where it could be used in the science of science communication.
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TEAM MEMBERS: Mike Schaefer
resource research Media and Technology
Science communication, whether internally or to the general public depends on trust, both trust in the source and trust in the medium of communication. With the new 'ecology of communication' this trust is endangered. On the one hand the very term of science communication has been captured by many different actors (e.g., governments, PR experts, universities and research institutions, science journalists, and bloggers) apart from scientists themselves to whom science communication means different things and whose communication is tainted by special interests. Some of these actors are probably
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TEAM MEMBERS: Peter Weingart Lars Guenther
resource research Media and Technology
Scientist-turned-filmmaker Randy Olson makes a bold claim: scientists cannot adequately explain their own work. He attributes all of the issues facing science communication today ― false positives, an uninterested public, and unapproved grant proposals ― to scientists' lack of narrative intuition. Rather than turn to the humanities for help, Olson suggests scientists learn from the true masters of storytelling ― Hollywood filmmakers. His latest book examines the age-old divide between science and the humanities, as well as the new adversarial relationship between science and film, which he
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TEAM MEMBERS: Victoria Gant
resource research Media and Technology
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
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TEAM MEMBERS: Nancy Longnecker
resource research Media and Technology
Of all the online information tools that the public relies on to collect information and share opinions about scientific and environmental issues, Twitter presents a unique venue to assess the spontaneous and genuine opinions of networked publics, including those about a focusing event like the Fukushima Daiichi nuclear accident following the 2011 Tohoku earthquake and tsunami. Using computational linguistic algorithms, this study analyzes a census of English-language tweets about nuclear power before, during, and after the Fukushima nuclear accident. Results show that although discourse about
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TEAM MEMBERS: Nan Li Heather Akin Leona Yi-Fan Su Dominique Brossard Michael Xenos Dietram Scheufele
resource research Media and Technology
This issue of JCOM presents some interesting challenges relating to trust and the media ecology that supports science communication. Weingart and Guenther have organised a set of commentaries considering the issue of trust and media from different points of view, by asking for responses to their paper 'Science Communication and the Issue of Trust'. The commentaries focus on traditional and social media and the actors that contribute to media content, though they do not consider 'paid for' content (also known as advertising), which is the subject of a paper by Silva and Simonian also published
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TEAM MEMBERS: Emma Weitkamp
resource research Media and Technology
The mixed methods randomized experimental study assessed a model of engagement and education that examined the contribution of SciGirls multimedia to fifth grade girls’ experience of citizen science. The treatment group (n = 49) experienced 2 hours of SciGirls videos and games at home followed by a 2.5 hour FrogWatch USA citizen science session. The control group (n = 49) experienced the citizen science session without prior exposure to SciGirls. Data from post surveys and interviews revealed that treatment girls, compared to control girls, demonstrated significantly greater interest in their
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TEAM MEMBERS: Barbara Flagg
resource project Media and Technology
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.
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TEAM MEMBERS: Darlene Cavalier Micah Lande
resource project Media and Technology
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 Watkins Buyung Agusdinata Chelsea Schelly Rachael Shwom Jenni-Louise Evans
resource project Media and Technology
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.
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TEAM MEMBERS: Nichole Pinkard