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
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.
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
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
By engaging diverse publics in immersive and deliberative learning forums, this three-year project will use NOAA data and expertise to strengthen community resilience and decision-making around a variety of climate and weather-related hazards across the United States. Led by Arizona State University’s Consortium for Science, Policy & Outcomes and the Museum of Science Boston, the project will develop citizen forums hosted by regional science centers to create a new, replicable model for learning and engagement. These forums, to be hosted initially in Boston and Phoenix and then expanded to an additional six sites around the U.S., will facilitate public deliberation on real-world issues of concern to local communities, including rising sea levels, extreme precipitation, heat waves, and drought. The forums will identify and clarify citizen values and perspectives while creating stakeholder networks in support of local resilience measures. The forum materials developed in collaboration with NOAA will foster better understanding of environmental changes and best practices for improving community resiliency, and will create a suite of materials and case studies adaptable for use by science centers, teachers, and students. With regional science centers bringing together the public, scientific experts, and local officials, the project will create resilience-centered partnerships and a framework for learning and engagement that can be replicated nationwide.
C-RISE will create a replicable, customizable model for supporting citizen engagement with scientific data and reasoning to increase community resiliency under conditions of sea level rise and storm surge. Working with NOAA partners, we will design, pilot, and deliver interactive digital learning experiences that use the best available NOAA data and tools to engage participants in the interdependence of humans and the environment, the cycles of observation and experiment that advance science knowledge, and predicted changes for sea level and storm frequency. These scientific concepts and principles will be brought to human scale through real-world planning challenges developed with our city and government partners in Portland and South Portland, Maine. Over the course of the project, thousands of citizens from nearby neighborhoods and middle school students from across Maine’s sixteen counties, will engage with scientific data and forecasts specific to Portland Harbor—Maine’s largest seaport and the second largest oil port on the east coast. Interactive learning experiences for both audiences will be delivered through GMRI’s Cohen Center for Interactive Learning—a state-of-the-art exhibit space—in the context of facilitated conversations designed to emphasize how scientific reasoning is an essential tool for addressing real and pressing community and environmental issues. The learning experiences will also be available through a public web portal, giving all area residents access to the data and forecasts. The C-RISE web portal will be available to other coastal communities with guidance for loading locally relevant NOAA data into the learning experience. An accompanying guide will support community leaders and educators to embed the interactive learning experiences effectively into community conversations around resiliency. This project is aligned with NOAA’s Education Strategic Plan 2015-2035 by forwarding environmental literacy and using emerging technologies.
Over three years beginning in January 2016, the Science Museum of Virginia will launch a new suite of public programming entitled “Learn, Prepare, Act – Resilient Citizens Make Resilient Communities.” This project will leverage federally funded investments at the Museum, including a NOAA-funded Science On a Sphere® platform, National Fish and Wildlife-funded Rainkeepers exhibition, and the Department of Energy-funded EcoLab, to develop public programming and digital media messaging to help the general public understand climate change and its impacts on Virginia’s communities and give them tools to become resilient to its effects. Home to both the delicate Chesapeake Bay ecosystem and a highly vulnerable national shoreline, Virginia is extremely susceptible to the effects of climate change and extreme weather events. It is vital that citizens across the Commonwealth understand and recognize the current and future impacts that climate variability will have on Virginia’s economy, natural environment, and human health so that they will be better prepared to respond. In collaboration with NOAA Chesapeake Bay Office, George Mason University’s Center for Climate Change Communication, Virginia Institute for Marine Science, Public Broadcasting Service/National Public Radio affiliates, and Resilient Virginia, the Museum will use data from the National Climatic Data Center and Virginia Coastal Geospatial and Educational Mapping System to develop and deliver new resiliency-themed programming. This will include presentations for Science On a Sphere® and large format digital Dome theaters, 36 audio and video digital media broadcast pieces, two lecture series, community preparedness events, and a Resiliency Checklist and Certification program. This project supports NOAA’s mission goals to advance environmental literacy and share its vast knowledge and data with others.
There are many lenses through which we can measure the value of a museum experience.
There is the satisfaction factor: Did visitors have a good time? Were they engaged? Do they want to return?
There are learning outcomes: Did visitors learn something new? How much did they learn? How did their experience compare to other types of learning experiences?
And there is also meaning-making: Did respondents have a meaningful experience? A memorable one? A connective experience that made them want more?
While all three of these lenses (and many others) are important, meaning-making is