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
A team of experts from five institutions (University of Minnesota, Adler Planetarium, University of Wyoming, Colorado State University, and UC San Diego) links field-based and online analysis capabilities to support citizen science, focusing on three research areas (cell biology, ecology, and astronomy). The project builds on Zooniverse and CitSci.org, leverages the NSF Science Gateways Community Institute, and enhances the quality of citizen science and the experience of its participants.
This project creates an integrated Citizen Science Cyberinfrastructure (CSCI) framework that expands the capacity of research communities across several disciplines to use citizen science as a suitable and sustainable research methodology. CSCI produces three improvements to the infrastructure for citizen science already provided by Zooniverse and CitSci.org:
Combining Modes - connecting the process of data collection and analysis;
Smart Assignment - improving the assignment of tasks during analysis; and
New Data Models - exploring the Data-as-Subject model. By treating time series data as data, this model removes the need to create images for classification and facilitates more complex workflows. These improvements are motivated and investigated through three distinct scientific cases:
Biomedicine (3D Morphology of Cell Nucleus). Currently, Zooniverse 'Etch-a-Cell' volunteers provide annotations of cellular components in images from high-resolution microscopy, where a single cell provides a stack containing thousands of sliced images. The Smart Task Assignment capability incorporates this information, so volunteers are not shown each image in a stack where machines or other volunteers have already evaluated some subset of data.
Ecology (Identifying Individual Animals). When monitoring wide-ranging wildlife populations, identification of individual animals is needed for robust estimates of population sizes and trends. This use case combines field collection and data analysis with deep learning to improve results.
Astronomy (Characterizing Lightcurves). Astronomical time series data reveal a variety of behaviors, such as stellar flares or planetary transits. The existing Zooniverse data model requires classification of individual images before aggregation of results and transformation back to refer to the original data. By using the Data-as-Subject model and the Smart Task Assignment capability, volunteers will be able to scan through the entire time series in a machine-aided manner to determine specific light curve characteristics.
The team explores the use of recurrent neural networks (RNNs) to determine automated learning architectures best suited to the projects. Of particular interest is how the degree to which neighboring subjects are coupled affects performance. The integration of existing tools, which is based on application programming interfaces (APIs), also facilitates further tool integration. The effort creates a citizen science framework that directly advances knowledge for three science use cases in biomedicine, ecology, and astronomy, and combines field-collected data with data analysis. This has the ability to solve key problems in the individual applications, as well as benefiting the research of the dozens of projects on the Zooniverse platform. It provides benefits to researchers using citizen scientists, and to the nearly 1.6 million citizen scientists themselves.
This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Research on Learning in Formal and Informal Settings, within the NSF Directorate for Education and Human Resources.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
We have created an instrument to measure the prevalance of various motivations in a population of volunteers in an online citizen science project. Our project is Zooniverse (www.zooniverse.org), a collection of citizen science projects that have grown out of the Galaxy Zoo website. The instrument is based on a theoretical model of motivation, which is described in the attached document.
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TEAM MEMBERS:
Jordan RaddickKaren CarneyJason ReedAndrea Lardner
The Year in ISE is a slidedoc designed to track and characterize field growth, change and impact, important publications, and current topics in ISE in 2018. Use it to inform new strategies, find potential collaborators for your projects, and support proposal development. Scope This slidedoc highlights a selection of developments and resources in 2018 that were notable and potentially useful for the informal STEM education field. It is not intended to be comprehensive or exhaustive, nor to provide endorsement. To manage the scope and length, we have focused on meta analyses, consensus reports
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.
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. Using community-based participatory research, human-centered design, and developmental evaluation approaches, this project will co-create a national community science project, which is a form of Public Participation in STEM Research (PPSR) or citizen science. The project seeks to increase inclusion and equity in STEM, while building capacity in research and science through leadership and participation by both historically underrepresented communities and established academic institutions. Participants will record their levels of perceived stress and well-being in relation to their local soundscape. This project will help to connect participants, specifically youth and their families from communities underrepresented and underserved in STEM, with science and nature through learning that is authentic and relevant to their lives. With support of a mobile app, community science project participants explore and map soundscapes to identify areas of "excessive noise" as well as "noise refuges." Community-led dissemination of results will inform adoption of community science projects by other community-based organizations. The project is a collaboration involving fifteen community leaders, the Cornell Lab of Ornithology, Metro Atlanta Urban Farm in Atlanta, WorldBeat Center in San Diego, CLUES in St. Paul, MN, and Camp Compass in Allentown, PA. PPSR has exciting potential to engage broad audiences in STEM learning and research, particularly when projects are genuinely co-created by local communities, scientists, and educators. Using a community-based participatory research approach in the project fosters direct involvement from community members in integration of science practices and learning, from the development of the research questions, design of the study, to analysis, interpretation, and dissemination of results. Human-centered design is important as it is an established collaborative approach for addressing real-world problems facing human communities. In this project, human-centered design will include technology in the problem-solving phases of inspiration, ideation, and implementation. Developmental evaluation will provide on-going direct feedback to the project team over the project lifespan with respect to equity and inclusion in PPSR, an informal STEM learning environment. The project will further knowledge and understanding of soundscapes and noise pollution, enable use of mobile apps to map soundscapes in urban environments, and contribute to the relationship of noise to well-being.The project will produce conceptual frameworks and practical resources (toolkits) to guide future community-based PPSR efforts. Results from this project will advance knowledge, skills, attitudes, and behaviors of PPSR practitioners regarding equity, diversity, and inclusion of underrepresented audiences in STEM. 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.
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TEAM MEMBERS:
Karen PurcellBobby WilsonMakeda CheatomJohn AnnoniTanya SchuhDavid BonterRick Bonney
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. This travel grant focuses on broadening participation in STEM learning and advancing scholarship and practice related to Public Participation in STEM Research (PPSR). In PPSR, members of the public participate voluntarily in scientific processes, addressing real-world problems in ways that may include formulating research questions, conducting scientific experiments, collecting and analyzing data, interpreting results, making new discoveries, developing technologies and applications, and solving complex problems. Currently, participation in many PPSR projects does not often reflect the full range diversity in the nation. The Citizen Science Association (CSA), an organization that seeks to support the rigorous and ethical practice of citizen science--a form of PPSR--across a broad range of issues and communities, brings together PPSR practioners and scholars biennially. The CSA conference, to be held March 13-17, 2019, in Raleigh, North Carolina, will build networks and capacities to support scholarship and practice across the full range of citizen science and across diverse populations.
This travel grant supports 75 participants, 25 local and 50 national, from groups underrepresented in STEM, who are actively engaged in community-based environmental science and have not previously attended a CSA conference. Community-based environmental science projects, which often occur in minority communities, are increasingly relying on PPSR approaches, including engaging public participants in STEM learning through technology and the development of data literacies. Through this travel grant, the 2019 CSA conference will bring together the expertise and experiences of practioners and scholars from citizen science and community-based environmental science projects. The conference will facilitate four days of interactions and mutual learning with significant time for iterative reflection and active discussion to make the sessions personally relevant and meaningful. This intentionally allows for identifying areas of both commonalities and tensions across citizen science and community-based environmental science projects, with time to work through various approaches and issues with colleagues for greater learning. The interactions should allow for meaningful discussion of goals, theory, methods, recruitment and retention and other aspects of projects that make a difference in the success of projects. The structure of the conference includes panels, presentations, poster sessions, and discussion to increase the quality and extent of PPSR and community-based environmental science practice.
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 STEM learning in a variety of settings. Many military veterans who seek to transition to higher education or workforce pathways find it challenging to translate the skills they acquired during service to civilian STEM settings and the modern day workforce. Yet many returning veterans have significant experience with STEM fields, including mapping and geospatial technologies, because of their unique functions and service assignments. Such geospatial skills are useful for location-aware industries, citizen science and public services. At the same time, military and veteran families have been largely overlooked as an important public audience for focused informal STEM learning. Informal learning events called "mapathons" which enlists participants to mapping exercises and create geospatial data on open platforms that address authentic needs in their communities and the broader society at large. When seeking to further their education upon returning from service, veterans' typical options have included some form of formal higher education. Mapathons may be a feasible bridging activity that (a) recognizes veterans' unique, valuable, and in-demand STEM skills and (b) supports lifelong learning.
This pilot research seeks to understand how informal learning experiences such as 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 to include a spatial component. The foundation of the project's intellectual merit is its explicit inclusion and sensitivity to place, scale, and spatial behavior, building directly from findings of prior NSF-funded projects and the evidence base for informal learning pathways. The research will contribute to knowledge about workforce development by addressing the questions: (1) To what extent do veterans recognize that their extant skills acquired, in military settings, are translatable to civilian STEM settings?; (2) How can informal learning experiences help a diverse veteran population increase awareness of the translatability of geospatial workforce competencies, build confidence in technology skills, and motivate interest to pursue formal studies in STEM fields in general?; and (3) What pathways do which veterans favor when they could pursue formal STEM higher education learning among an array of choices online or at regional sites, and why? The study will engage 320 participants at 8 sites across Texas; employ in-depth surveys and interviews; and use spatial analysis to elicit insights about the research questions.
Military and veteran families include a significant number of people from group typically underrepresented in STEM fields. Supporting more veterans to transition successfully to higher education pathways or careers in STEM is a vital service to the nation. This study on informal to formal pathways for veterans will include an innovative understanding of the importance of place in meaning-making and in the reality of choices they consider during the transitions of their life course.
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.
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TEAM MEMBERS:
Patricia SolisMelanie HartDennis Patterson