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resource research Media and Technology
We investigate the impact of a science documentary on individuals' intention to engage in information-related behaviors by experimentally testing the effects of source type (scientist, politician, or anonymous source) and communication setting (interview or lecture) using a manipulated clip from the documentary, ‘An Inconvenient Truth’. Our results indicate that, compared to anonymous sources, use of authoritative ones result in greater intention to engage in some information-related behaviors. Additionally, our results suggest that increased intentions to engage in exchanging information can
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TEAM MEMBERS: Sara Yeo Andrew Binder Michael Dahlstrom Dominique Brossard
resource research Media and Technology
The characteristics of interaction and dialogue implicit in the Web 2.0 have given rise to a new scenario in the relationship between science and society. The aim of this paper is the development of an evaluation tool scientifically validated by the Delphi method that permits the study of Internet usage and its effectiveness for encouraging public engagement in the scientific process. Thirty four indicators have been identified, structured into 6 interrelated criteria conceived for compiling data that help to explain the role of the Internet in favouring public engagement in science.
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TEAM MEMBERS: Lourdes Lopez Maria Dolores Olvera-Lobo
resource research Professional Development, Conferences, and Networks
The 10th World Conference of Science Journalists (San Francisco, U.S.A., 26–30 October 2017) was the most successful to date in terms of participants and probably the one with the largest presence of journalists from the developing world among its attendees and speakers. In agreement with the times, its themes were marked by ethical dilemmas in the communication of science, fake news and climate change, among others.
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TEAM MEMBERS: Paula Leighton
resource research Media and Technology
Science permeates nearly every facet of human life and civilization. However, in an age of media oversaturation, it has been increasingly easier for pseudoscientific information to be disseminated among the masses, especially by those with a political agenda. In his book, ‘Not a Scientist: How Politicians Mistake, Misrepresent, and Utterly Mangle Science’, author Dave Levitan creates a guidebook for spotting and debunking unscientific ideas in the political sphere, a vital tool in the Information Age.
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TEAM MEMBERS: Zachary Kizer
resource research Media and Technology
Participants in this study reported a variety of resources used in the past to learn to code in Apex, including online tutorials, one-day classes sponsored by Salesforce, and meet-up groups focused on learning. They reported various difficulties in learning through these resources, including what they viewed as the gendered nature of classes where the men already seemed to know how to code—which set a fast pace for the class, difficulty in knowing “where to start” in their learning, and a lack of time to practice learning due to work and family responsibilities. The Coaching and Learning Group
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resource research Media and Technology
If Truth Be Told is a collection of essays on the politics of public ethnography and focuses on seasoned anthropologists' reflexive and critical engagement with public responses to their monographs. Fassin's primary purpose is to provide an ethnography of publicization. The book illuminates how public responses reflect and are affected by hegemonic sociopolitical realities and sociocultural practices and impact on the life and work of anthropologists. Of special interest is to what effect contributors take up different roles such as the role of expert to advocate for a more nuanced, non
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TEAM MEMBERS: Karen Mogendorff
resource research Media and Technology
This book is a beginners' guide to science journalism, explaining the 21st century journalistic process, from generating story ideas to creating multimedia content when the story's written, taking in research and writing structures along the way. While many of the chapters are introductory, the book also covers topics also likely to be of interest to more experienced writers, such as storytelling techniques and investigative journalism. Readers are introduced to important debates in the field, including the role that science journalism plays; whether it is a form of `infotainment', or whether
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TEAM MEMBERS: Andy Ridgway
resource research Media and Technology
Visual narratives, such as comics and animations, are becoming increasingly popular as a tool for science education and communication. Combining the benefits of visualization with powerful metaphors and character-driven narratives, comics have the potential to make scientific subjects more accessible and engaging for a wider audience. While many authors have experimented with this medium, empirical research on the effects of visual narratives in science communication remains scarce. This review summarizes the available evidence across disciplines, highlighting the cognitive mechanisms that may
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TEAM MEMBERS: Matteo Farinella
resource research Media and Technology
Climate change is a global risk as its causes and effects are not limited to national borders, but the risks and the responsibility are not evenly spread [Beck, 2009]. Pakistan is facing especially severe impacts in the form of disasters, floods, droughts, rising temperatures, cyclones and rising sea levels due to global emissions, despite its national emissions being nominal and accounting for only 0.46% of worldwide emissions [World Bank, 2018]. Ironically, the level of public awareness of climate change is low in Pakistan compared to not only advanced countries, but also to other countries
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TEAM MEMBERS: Asim Sharif Fabien Medvecky
resource project Media and Technology
This INSPIRE award is partially funded by the Cyber-Human Systems Program in the Division of Information and Intelligent Systems in the Directorate for Computer Science and Engineering, the Gravitational Physics Program in the Division of Physics in the Directorate for Mathematical and Physical Sciences, and the Office of Integrative Activities.

This innovative project will develop a citizen science system to support the Advanced Laser Interferometer Gravitational wave Observatory (aLIGO), the most complicated experiment ever undertaken in gravitational physics. Before the end of this decade it will open up the window of gravitational wave observations on the Universe. However, the high detector sensitivity needed for astrophysical discoveries makes aLIGO very susceptible to noncosmic artifacts and noise that must be identified and separated from cosmic signals. Teaching computers to identify and morphologically classify these artifacts in detector data is exceedingly difficult. Human eyesight is a proven tool for classification, but the aLIGO data streams from approximately 30,000 sensors and monitors easily overwhelm a single human. This research will address these problems by coupling human classification with a machine learning model that learns from the citizen scientists and also guides how information is provided to participants. A novel feature of this system will be its reliance on volunteers to discover new glitch classes, not just use existing ones. The project includes research on the human-centered computing aspects of this sociocomputational system, and thus can inspire future citizen science projects that do not merely exploit the labor of volunteers but engage them as partners in scientific discovery. Therefore, the project will have substantial educational benefits for the volunteers, who will gain a good understanding on how science works, and will be a part of the excitement of opening up a new window on the universe.

This is an innovative, interdisciplinary collaboration between the existing LIGO, at the time it is being technically enhanced, and Zooniverse, which has fielded a workable crowdsourcing model, currently involving over a million people on 30 projects. The work will help aLIGO to quickly identify noise and artifacts in the science data stream, separating out legitimate astrophysical events, and allowing those events to be distributed to other observatories for more detailed source identification and study. This project will also build and evaluate an interface between machine learning and human learning that will itself be an advance on current methods. It can be depicted as a loop: (1) By sifting through enormous amounts of aLIGO data, the citizen scientists will produce a robust "gold standard" glitch dataset that can be used to seed and train machine learning algorithms that will aid in the identification task. (2) The machine learning protocols that select and classify glitch events will be developed to maximize the potential of the citizen scientists by organizing and passing the data to them in more effective ways. The project will experiment with the task design and workflow organization (leveraging previous Zooniverse experience) to build a system that takes advantage of the distinctive strengths of the machines (ability to process large amounts of data systematically) and the humans (ability to identify patterns and spot discrepancies), and then using the model to enable high quality aLIGO detector characterization and gravitational wave searches
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TEAM MEMBERS: Vassiliki Kalogera Aggelos Katsaggelos Kevin Crowston Laura Trouille Joshua Smith Shane Larson Laura Whyte
resource research Public Programs
This study examines the relative efficacy of citizen science recruitment messages appealing to four motivations that were derived from previous research on motives for participation in citizen-science projects. We report on an experiment (N=36,513) that compared the response to email messages designed to appeal to these four motives for participation. We found that the messages appealing to the possibility of contributing to science and learning about science attracted more attention than did one about helping scientists but that one about helping scientists generated more initial
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TEAM MEMBERS: Tae Kyoung Lee Kevin Crowston Mahboobeh Harandi Carsten Østerlund Grant Miller
resource project Public Programs
One way to motivate young people from diverse backgrounds to pursue engineering careers is to enlist them as educators who can help the general public understand how engineers help respond to the challenges of everyday life. The New York Hall of Science, which serves a large and diverse audience, is an ideal setting for testing the promise of this strategy. Youth educators and curators of public programs at the Hall of Science will mentor two groups of high school- and early college-aged youth, who will contribute to the design and facilitation of engineering-focused events and activities for museum visitors. They will work together to develop engineering programming for the public that emphasizes the cultural and interpersonal dimensions of engineering practices. This group of young people will be recruited from the Hall of Science's more than 100 Explainers, a very diverse group of young people who work part-time at the Hall of Science and engage with visitors as they explore the museum. Researchers will track participants' experiences and document their impact on museum visitors' perceptions of engineering. The expectation is that creating and delivering these experiences for visitors will have a positive impact on the youth participants' understanding of the engineering disciplines, and on visitors' perceptions of engineering and its relationship to everyday life.

The project will use observations, interviews, journaling, and the Engineering Professional Skills Assessment to explore youth experience, and visitor exit surveys and interviews to probe visitor perceptions. Both the skills assessment and visitor surveys are NSF-funded instruments. Data coding will be grounded in the engineering habits of mind defined by the National Research Council's Committee on Understanding and Improving K-12 Engineering Education in the United States (2009). The project will capture evidence regarding which habits of mind the Fellows are most frequently engaged with. The effort will also explore how interactions with peers (as colleagues), with experts (as learners, such as with Designers in Residence) and with visitors (as teachers and leaders) may be associated with different combinations of the habits of mind over the course of the project. Visitor data and assessment data will allow the project to begin to make analytic connections between participating young people's increased understanding of culturally-situated engineering challenges, and their impact on the experiences of museum visitors who engage with engineering programming at the Hall of Science.
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TEAM MEMBERS: Katherine McMillan Priya Mohabir ChangChia James Liu