The education research component of the Pulsar Search Collaboratory (PSC) seeks to determine how the PSC experience affects the science identity and STEM career intentions of its participants and how individual programmatic elements influence persistence. These questions are investigated by comparing pre-‐survey and post-‐survey results and by examining the participant’s interaction with the PSC online portal.
This report d pre/posistilled t survey data that examines student participants’ STEM intentions along a number of dimensions: Science/Engineering Identity, Self-‐Efficacy, Science
This report presents findings from the evaluation of four Pulsar Search Collaboratory (PSC) activities: online training, use of website, capstone events at hub institutions, and the PSC summer camp.
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
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 LeeKevin CrowstonMahboobeh HarandiCarsten ØsterlundGrant Miller
Field stations across the United States provide learning opportunities to the general public through their outreach programming. With approximately 78% and 98% of the US population living within 60 and 120 miles of a field station, respectively, stations have the potential to be key providers of informal STEM education. We surveyed a sample of US biological field stations and asked them to describe their outreach programming and goals. Our findings indicate that field stations prioritize outreach by dedicating personnel and fiscal resources, but such initiatives are highly variable in
This poster presents the overall approach of the project and was presented at the NSF AISL PI meeting in February 2019 by the PI.
This pilot research seeks to understand how informal learning experiences called mapathons are viable pathways for veterans to transition to the civilian workforce. The conceptual approach pays attention to the realities of the life course of military and veteran families, especially building upon theories of change related to transitions that include a spatial component.
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TEAM MEMBERS:
Patricia SolisDennis PattersonMelanie Hart
Citizen science is a growing phenomenon. With millions of people involved and billions of in-kind dollars contributed annually, this broad extent, fine grain approach to data collection should be garnering enthusiastic support in the mainstream science and higher education communities. However, many academic researchers demonstrate distinct biases against the use of citizen science as a source of rigorous information. To engage the public in scientific research, and the research community in the practice of citizen science, a mutual understanding is needed of accepted quality standards in
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TEAM MEMBERS:
Julia ParrishHillary BurgessJake WeltzinLucy FortsonAndrea WigginsBrooke Simmons
This workshop is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The project will conduct a two-day workshop that will gather citizen science project leaders to address barriers in citizen science research and infrastructure: The inability to holistically study the movement, engagement, persistence and learning outcomes among volunteers engaged in multiple projects. The past few years have been a time of tremendous growth in awareness of and interest in citizen science projects. The project will address an increasing gap preventing projects in three now-popular categories (apps, projects hosted on government websites, and event-based projects) from adopting the digital tools created and available through SciStarter.com. The workshop will bring citizen science project leaders together to deepen an understanding of their needs regarding the adoption of digital tools, developed by Scistarter, which will result in more comprehensive data in support of research in informal science learning outcomes of volunteers engaged in citizen science across projects and platforms. The in-person and online contributions from participants will guide the development of resources and tutorials to scale adoption.
SciStarter is a repository of hundreds of citizen science projects. Through previous NSF support, SciStarter developed digital affiliate tools which project leaders use on their own websites to enable analytics (statistics gathered from user activity online) to help projects more easily recruit and coordinator volunteers, help volunteers track their contributions across projects and platforms, and help researchers holistically study the movement and learning outcomes across projects and platforms. The proposed workshop will facilitate iteration and adoption of the tools among three classes of projects, not originally accounted for, which have dramatically increased in numbers during the past year: 1) app-based projects, 2) projects hosted on government websites, and 3) event-based projects.. By co-designing and implementing iterative versions of the tools among these projects, the project will address important gaps in research, enable a richer, more comprehensive understanding of volunteer engagement patterns, and discover opportunities to build a stronger community of citizen science practitioners who collaborate to enhance volunteer learning communities. The project will culminate in improved research in this field and improved management of citizen science projects for appropriate recruitment and retention that fosters STEM learning.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Explore the Science of Spring: A Live Media Event is an Innovations in Development project produced by the signature PBS series Nature. The new primetime series Spring LIVE (working title) will break the frame of a traditional documentary, letting viewers themselves explore the dramatic seasonal changes of spring through the immediacy of live television. On-camera hosts, scientists and naturalists in locations across the U.S., and scores of citizen scientists will use observation and scientific inquiry to explore the workings of nature during this season of rebirth. The unfolding stories of seasonal change will illuminate larger scientific insights--into the biodiversity of species in habitats, the interconnectedness of plants and animals in diverse ecosystems, the global phenomenon of species migration, and how spring "green-up" can be affected by environmental change--while inspiring appreciation for species conservation and habitat preservation. Spring LIVE is conceived as an ongoing series, with this inaugural season composed of three one-hour programs broadcast live on three consecutive nights, along with real-time interactions via Facebook. Reaching long-standing Nature viewers (2.5 million per episode), Spring LIVE will seek to turn mature adults and diverse families into citizen science doers, and leverage younger Nature online audiences through social media and community engagement in partnership with citizen science projects.
Spring LIVE will build public knowledge of and engagement in phenology and citizen science. The project will also conduct knowledge-building research on the effectiveness of Facebook as a science learning tool. It will experiment with eliciting audience participation via Facebook within the live shows to generate synchronous, second-screen thought and discussion. An exploratory study by Multimedia Research will look at the impact of this feature, addressing the question: To what extent and how does Facebook interactivity within live science shows impact adult engagement, learning and motivation? Spring LIVE will also engage multiple partners to expand reach and impact and build capacity in their fields. National partners include the National Park Service and Next Avenue; citizen science partners include Celebrate Urban Birds, National Phenology Network, Monarch Blitz, and SciStarter, among others. PBS stations will work with these organizations to involve diverse, intergenerational audiences in observation of nature and seasonal change. Project evaluation, implemented by Knight Williams Research Communications, will focus on the impact of live television on science learning, and the success of the integration of citizen science projects on air, online, and in communities. This project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The Exploratorium in San Francisco, in collaboration with social science researchers at Arizona State University and Rutgers University, will conduct a two-year Pilots and Feasibility Studies project that will test a new model for integrating museum exhibits with public participation in scientific research, called Exhibit-Based PPSR (E-PPSR). The team will create a mini-exhibition about social psychology that (a) engages science museum visitors in investigating and reflecting on social factors that promote cooperation or not, (b) builds public awareness of the science of social psychology and (c) generates valid data for academic research in this area.
The Exploratorium will build on its long history of creating participatory exhibits that engage visiting groups in social science learning and in self-reflective metacognition. This expands beyond the typical lab-in-the-museum in which individual visitors interact with researchers' laptops or simple props. The model takes the exhibit experiences further, injecting the dimension of public participation in social psychology research. By voluntarily and anonymously contributing demographic and response data, large numbers of people from mixed-age groups will help social scientists gain new insights into cooperation among a broader sample of humanity than are usually studied in university labs. The E-PPSR lab is always available, rather than open only when a researcher is present. The model also incorporates research on learning and assesses the effect of E-PPSR on social science learning experiences. Do museum visitors build greater conceptual understanding of the social science by contributing to real research and seeing their own responses within the larger dataset? Do they attend more deeply to debriefing activities when they have contributed their own data? The three main deliverables include: 1) a prototype Exhibit-based PPSR laboratory at the Exploratorium comprised of one exhibit for gaining informed consent, three 'Data-Catcher' exhibits modified to record anonymous responses when visitors opt-in to contributing to social psychological research, and one debriefing exhibit. A back-end database will send data to the academic researchers; 2) evaluation studies that test the E-PPSR model. The studies will assess the success of debriefing approaches, the effectiveness of recruitment and the impact of E-PPSR on learning. The team will publish a journal article describing the E-PPSR model and academic research findings. The team will also organize a conference session with others in the museum field who manage in-house academic research laboratories; and 3) a report by the academic partners describing the impact of the project on their research program.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. This specific project will advance new knowledge about the nature of and functions for rural libraries as informal STEM learning environments. Research will identify the social contexts and relational capabilities of libraries to acquire new scientific knowledge that exists externally and to integrate it into community knowledge-building and forums. The research outcomes should lead to actionable strategies for library and science communication practitioners about who and how to influence public engagement in citizen science drought monitoring. Furthermore, collaborations with these rural libraries will lead to new resources for rural communities and informal STEM education. This project will focus on the design, development, and evaluation of informal science education programs and educational media for use in rural libraries in drought prone areas of the Great Plains. The target audiences include public librarians in rural communities of Oklahoma, Nebraska, and Colorado, as well as the general public (adults and children) they serve. The project goals are to leverage the professional skills and community knowledge of rural librarians to support local drought monitoring networks. The model prepares librarians to introduce citizen science processes and practices within the context of community dialogue and deliberation about drought. In collaboration with partners at the Community Collaborative for Rain, Hail, and Snow (CoCoRaHS), and the National Drought Mitigation Center (NDMC), the project will increase public participation in citizen science and improve the communication of science-based knowledge about drought. The project deliverables include: (1) a professional development workshop series for rural librarians, (2) a drought infographic booklet and poster series, and (3) co-designed library programs for rural public audiences. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.