The HMCS Yukon is a 366 ft. long former Canadian warship that was sunk in about 100 ft. of water off the coast of San Diego, California ( 32.7800, -117.2853) in 2000 to act as an artificial reef. The first scientific study of the marine life on the Yukon was done in 2005 by the San Diego Oceans Foundation and Dr. Ed Parnell of Scripps Institution of Oceanography. This study will document the current changes in the marine biodiversity that has colonized the shipwreck since the previous study. High resolution cameras and iNaturalist , a citizen science app which is maintained by the California
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TEAM MEMBERS:
Barbara Lloyd
resourceprojectProfessional Development, Conferences, and Networks
The Center for Integrated Quantum Materials pursues research and education in quantum science and technology. With our research and industry partners, the Museum of Science, Boston collaborates to produce public engagement resources, museum programs, special events and media. We also provide professional development in professional science communication for the Center's students, post-docs, and interns; and coaching in public engagement. The Museum also sponsors The Quantum Matters(TM) Science Communication Competition (www.mos.org/quantum-matters-competition) and NanoDays with a Quantum Leap. In association with CIQM and IBM Q, the Museum hosted the first U.S. museum exhibit on quantum computing.
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TEAM MEMBERS:
Robert WesterveltCarol Lynn AlpertRay AshooriTina Brower-Thomas
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 KalogeraAggelos KatsaggelosKevin CrowstonLaura TrouilleJoshua SmithShane LarsonLaura Whyte
The Adler Planetarium, Johns Hopkins University, and Southern Illinois University-Edwardsville are investigating the potential of online citizen science projects to broaden the pool of volunteers who participate in analysis and investigation of digital data and to deepen volunteers' engagement in scientific inquiry. The Investigating Audience Engagement with Citizen Science project is administering surveys and conducting case studies to identify factors that lead volunteers to engage in the astronomy-focused Galaxy Zoo project and its Zooniverse extensions. The project is (1) identifying volunteers' motivations for joining and staying involved, (2) determining factors that influence volunteers' movement from lower to higher levels of involvement, and (3) designing features that influence volunteer involvement. The project's research findings will help informal science educators and scientists refine existing citizen science programs and develop new ones that maximize volunteer engagement, improve the user experience, and build a more scientifically literate public.
This project supports the Broader Impacts and Outreach Network for Institutional Collaboration (BIONIC), a national Research Coordination Network of Broader Impacts to support professionals who assist researchers to design, implement, and evaluate the Broader Impacts activities for NSF proposals and awards. All NSF proposals are evaluated not only on the Intellectual Merit of the proposed research, but also on the Broader Impacts of the proposed work, such as societal relevance, educational outreach, and community engagement. Many institutions have begun employing Broader Impacts support professionals, but in most cases, these individuals have not worked as a group to identify and share best practices. As a consequence, there has been much duplication of effort. Through coordination, BIONIC is expected to improve efficiency, reduce redundancy, and have significant impact in several areas: 1) Researchers will benefit from an increased understanding of the Broader Impacts merit review criterion and increased access to collaborators who can help them design, implement, and evaluate their Broader Impacts activities; 2) Institutions and research centers will increase their capacity to support Broader Impacts via mentoring for Broader Impacts professionals and consulting on how to build Broader Impacts support infrastructure, with attention to inclusion of non-research-intensive universities, Historically Black Colleges and Universities, and Hispanic- and Minority-Serving Institutions that may not have the resources to support an institutional Broader Impacts office; and 3) NSF, itself, will benefit from a systematic and consistent approach to Broader Impacts that will lead to better fulfillment of the Broader Impacts criterion by researchers, better evaluation of Broader Impacts activities by reviewers and program officers, and a system for evaluating the effectiveness of Broader Impacts activities in the aggregate, as mandated by Congress and the National Science Board. Through its many planned activities, BIONIC will ultimately help advance the societal aims that the Broader Impacts merit review criterion was meant to achieve.
The main goals of the project will be accomplished through the four specific objectives: 1) Identify and curate promising models, practices, and evaluation methods for the Broader Impacts community; 2) Expand engagement in, and support the development of, high-quality Broader Impacts activities by educating current and future faculty and researchers on effective practices; 3) Develop the human resources necessary for sustained growth and increased diversity of the Broader Impacts community; and 4) Promote cross-institutional collaboration and dissemination for Broader Impacts programs, practices, models, materials, and resources. BIONIC will facilitate collaborative Broader Impacts work across institutions, help leverage previously developed resources, support professional development, and train new colleagues to enter into the Broader Impacts field. This project will improve the quality and sustainability of Broader Impacts investments, as researchers continue to create unique and effective activities that are curated and broadly disseminated. BIONIC will create a network designed to assist NSF-funded researchers at their institutions in achieving the goals of the Broader Impacts Review Criterion. In so doing, BIONIC will promote Broader Impacts activities locally, nationally, and internationally and help to advance the Broader Impacts field.
This award is co-funded by the Divisions of Molecular and Cellular Biosciences and Emerging Frontiers in the Directorate for Biological Sciences and by the Division of Chemistry in the Directorate for Mathematics and Physical Sciences.
The art/science nexus has historically been approached through a challenge of aesthetics versus mathematics, and processes of knowledge production. Notably absent in this debate are the social sciences that explore human experience and perception. In particular, what has not been addressed clearly in the literature is how reasoning about the human experience can be provoked when people encounter content that does not assert itself as neatly defined in either an art or science discourse. By reflecting on one case study of a public art/science installation, we explore new fields of knowledge
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TEAM MEMBERS:
John FraserFiona MacDonaldNezam Ardalan
This issue of Legacy—which had a record number of submissions from interpreters wanting to write on the subject—deals with the challenges of making science accessible, engaging, and relevant to visitors to interpretive sites. How do we take information and ideas that can be highly technical or specicialized to a certain field of study and make it pertinent to visitors whose expertise lies elsewhere? The articles that follow tackle that subject.
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TEAM MEMBERS:
Alyssa Parker-GeismanTim WatkinsPatrick Kark
resourceevaluationProfessional Development, Conferences, and Networks
This report presents findings from a formative evaluation of Science Education for New Civic Engagements and Responsibilities-Informal Science Education (SENCER-ISE), a National Science Foundation and Noyce Foundation funded initiative to support partnerships between informal science and higher education institutions. This evaluation looked primarily at the collaborative infrastructure of SENCER-ISE, which included the web site, SENCER Summer Institute, and communications with project staff and/or the advisory board. This evaluation is the third evaluation that Randi Korn & Associates, Inc
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TEAM MEMBERS:
RK&A, Inc.
resourceevaluationProfessional Development, Conferences, and Networks
The National Center for Science and Civic Engagement (NCSCE) contracted Randi Korn & Associates, Inc. (RK&A) to conduct a summative evaluation of its SENCER-ISE project partnerships. SENCER-ISE is an initiative that brings partners from higher education (HE) together with partners from informal science education (ISE) to create projects that engage audiences in science using the lens of civic engagement. SENCER funded 10 partnerships over three years—six through the National Science Foundation (DRL #1001795) and four through the Noyce Foundation. Previously, RK&A conducted a formative
This article addresses some of the challenges faced when attempting to evaluate the long-term impact of informal science learning interventions. To contribute to the methodological development of informal science learning research, we critically examine (Falk and Needham (2011) Journal of Research in Science Teaching, 48: 1–12.) study of the California Science Center's long-term impact on the Los Angeles population's understanding, attitude and interest in science. This study has been put forward as a good model of long-term impact evaluation for other researchers and informal science learning
Access to high quality evaluation results is essential for science communicators to identify negative patterns of audience response and improve outcomes. However, there are many good reasons why robust evaluation linked is not routinely conducted and linked to science communication practice. This essay begins by identifying some of the common challenges that explain this gap between evaluation evidence and practice. Automating evaluation processes through new technologies is then explicated as one solution to these challenges, capable of yielding accurate real-time results that can directly
Since 2000, the UK government has funded surveys aimed at understanding the UK public's attitudes toward science, scientists, and science policy. Known as the Public Attitudes to Science series, these surveys and their predecessors have long been used in UK science communication policy, practice, and scholarship as a source of authoritative knowledge about science-related attitudes and behaviors. Given their importance and the significant public funding investment they represent, detailed academic scrutiny of the studies is needed. In this essay, we critically review the most recently