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 Yellowstone Altai-Sayan Project (YASP) brings together student and professional researchers with Indigenous communities in domestic (intermountain western U.S.) and international (northwest Mongolian) settings. Supported by a National Science Foundation grant, MSU and tribal college student participants performed research projects in their home communities (including Crow, Northern Cheyenne, Fort Peck Assiniboine & Sioux, and Fort Berthold Mandan, Hidatsa and Sahnish) during spring semester 2016. In the spirit of reciprocity, these projects were then offered in comparative research contexts during summer 2016, working with Indigenous researchers and herder (semi-nomadic) communities in the Darhad Valley of northwestern Mongolia, where our partner organization, BioRegions International, has worked since 1998. In both places, Indigenous Research Methodologies and a complementary approach called Holistic Management guided how and what research was performed, and were in turn enriched by Mongolian research methodologies. Ongoing conversations with community members inspire the research questions, methods of data collection, as well as how and what is disseminated, and to whom. The Project represents an ongoing relationship with and between Indigenous communities in two comparable bioregions*: the Big Sky of the Greater Yellowstone Ecosystem, and the Eternal Blue Sky of Northern Mongolia.
*A ‘bioregion’ encompasses landscapes, natural processes and human elements as equal parts of the whole (see http://bioregions.org/).
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TEAM MEMBERS:
Kristin RuppelClifford MontagneLisa Lone Fight
In reflecting on what Pathway to Biotrails (“Biotrails”) learned about informal science learning, it is clear in hindsight that the project evolved into an exploration of how the important new technology of DNA-assisted species identification (“DNA barcoding”) might add value to learning in a variety of models for citizen science participant engagement. This was not the project’s initial design. But it seems to me that this “evolved” design was particularly appropriate for an exploratory, Pathways project focused on increasing our understanding of how a groundbreaking new technology might
Citizen science refers to partnerships between volunteers and scientists that answer real world questions. The target audiences in this project are middle and high school teachers and their students in a broad range of settings: two urban districts, an inner-ring suburb, and three rural districts. The project utilizes existing citizen science programs as springboards for professional development for teachers during an intensive summer workshop. The project curriculum helps teachers use student participation in citizen science to engage them in the full complement of science practices; from asking questions, to conducting independent research, to sharing findings. Through district professional learning communities (PLCs), teachers work with district and project staff to support and demonstrate project implementation. As students and their teachers engage in project activities, the project team is addressing two key research questions: 1) What is the nature of instructional practices that promote student engagement in the process of science?, and 2) How does this engagement influence student learning, with special attention to the benefits of engaging in research presentations in public, high profile venues? Key contributions of the project are stronger connections between a) ecology-based citizen science programs, STEM curriculum, and students' lives and b) science learning and disciplinary literacy in reading, writing and math.
Research design and analysis are focused on understanding how professional development that involves citizen science and independent investigations influences teachers' classroom practices and student learning. The research utilizes existing instruments to investigate teachers' classroom practices, and student engagement and cognitive activity: the Collaboratives for Excellence in Teacher Preparation and Classroom Observation Protocol, and Inquiring into Science Instruction Observation Protocol. These instruments are used in classroom observations of a stratified sample of classes whose students represent the diversity of the participating districts. Curriculum resources for each citizen science topic, cross-referenced to disciplinary content and practices of the NGSS, include 1) a bibliography (books, web links, relevant research articles); 2) lesson plans and student science journals addressing relevant science content and background on the project; and 3) short videos that help teachers introduce the projects and anchor a digital library to facilitate dissemination. Impacts beyond both the timeframe of the project and the approximately 160 teachers who will participate are supported by curriculum units that address NGSS life science topics, and wide dissemination of these materials in a variety of venues. The evaluation focuses on outcomes of and satisfaction with the summer workshop, classroom incorporation, PLCs, and student learning. It provides formative and summative findings based on qualitative and quantitative instruments, which, like those used for the research, have well-documented reliability and validity. These include the Science Teaching Efficacy Belief Instrument to assess teacher beliefs; the Reformed Teaching Observation Protocol to assess teacher practices; the Standards Assessment Inventory to assess PLC quality; and the Scientific Attitude Inventory to assess student attitudes towards science. Project deliverables include 1) curriculum resources that will support engagement in five existing citizen science projects that incorporate standards-based science content; 2) venues for student research presentations that can be duplicated in other settings; and 3) a compilation of teacher-adapted primary scientific research articles that will provide a model for promoting disciplinary literacy. The project engages 40 teachers per year and their students.
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TEAM MEMBERS:
Karen OberhauserMichele KoomenGillian RoehrigRobert BlairAndrea Lorek Strauss
SciGirls' (Season'Three) is a multimedia project that presents videos and games designed to engage and educate millions of children about citizen science. Multimedia Research, an independent evaluation group, implemented a summative evaluation that assessed a model of citizen science engagement and education that examined the contribution of SciGirls multimedia to preteen girls' experience of citizen science.
Learning to See, Seeing to Learn: A Sociotechnical System Supporting Taxonomic Identification Activities in Volunteer-Based Water Quality Biomonitoring is an Innovations in Development proposal to further develop and study a cyber-enhanced informal learning environment to support observational practices and classification skills in a citizen science context. In particular, we focus on the taxonomic ID bottleneck that hampers the acquisition of high-caliber biotic data needed for volunteer-based water quality monitoring efforts.
The project is supported under the NSF Science, Engineering and Education for Sustainability Fellows (SEES Fellows) program, with the goal of helping to enable discoveries needed to inform actions that lead to environmental, energy and societal sustainability while creating the necessary workforce to address these challenges. Sustainability science is an emerging field that addresses the challenges of meeting human needs without harm to the environment, and without sacrificing the ability of future generations to meet their needs. A strong scientific workforce requires individuals educated and trained in interdisciplinary research and thinking, especially in the area of sustainability science. With the SEES Fellowship support, this project will enable a promising early career researcher to establish herself in an independent research career related to sustainability. This project builds upon Resiliency Theory and theories of applied community participation to explore two specific contexts of participatory communication (i.e., processes of collective learning and shared meaning) at the science-society interface: (1) adaptive co-management meetings in New Mexico and Oklahoma, and (2) existing education efforts by drought scientists at two Great Plains universities (Oklahoma State University and University of Nebraska-Lincoln). A mixed methods approach (including, household surveys, oral histories, key informant interviews, and pilot tests) will model community-partnership capacity for drought adaptation in Cimarron (OK) and Union (NM) Counties, and assess the impact of community-academic partnerships on drought literacy and adaptive capacity across the Great Plains. Research in adaptive co-management meetings and interactive media (as contexts for participatory communication between scientists and citizens) provides the context for innovative case study research on the role of public communication about science in community drought adaptation.
Collaboration in case study research with Host Mentor Vadjunec and outreach efforts with Partner Institution Mentor Thomas (UNL) offers a unique opportunity to research the intersections of participatory communication and scientific literacy about the human and climatic drivers of extreme drought. The core research questions addressed by this proposal are, (1) What formal and informal pathways, players, and partnerships exist for participatory communication between scientists and citizens about drought vulnerability and adaptation, (2) How does communication about drought risk and recovery inform the effective diffusion and translation of drought literacy efforts in the Great Plains, and (3) How can we design forums and spaces for sustained interaction (i.e., engagement and collective learning) between stakeholders involved in adaptive drought communication? The project objectives uniquely related to advancing research at the intersections of sustainability science and education are, (1) to identify dimensions of community and partnership capacity for drought education and pathways of adaptive drought communication across scales, (2) to advance dynamic participatory models which assist in the adaptive co-management of water resources in local communities (i.e., increasing citizen-science dialogue, mobilizing community leaders, and fostering the drought education partnerships), and (3) to design and measure the success of drought literacy efforts based on inputs from sustainability scientists at various stages of community decision-making. The adaptive drought co-management workshops in NM and OK provide spaces for stakeholder interaction, which may lead to new approaches, innovations, and learning outcomes for communities in those regions. Outreach partnerships with UNL maximize dissemination of user-friendly and culturally-relevant drought outreach products, including a project website to consolidate scientific knowledge about drought in the Great Plains and interactive media templates. Interdisciplinary collaborations and research findings will inform efforts in academic community partnerships for sustainable practices across many NSF-supported disciplines.
Citizen Science 2015 was the inaugural conference of the Citizen Science Association (CSA). The conference planned for two days of building connections and exchanging ideas across a wide spectrum of disciplines and experiences and was held February 11th and 12th in San Jose, California, as a pre-conference of the American Association for the Advancement of Science's Annual Meeting.
In addition to the other strands, a specific strand dedicated to education was held to identify opportunities and strategies to support the integration of citizen science into the Science, Technology
The University of Minnesota Extension (UME) contracted Garibay Group to conduct a summative evaluation of the Driven to Discover program (often referred to as D2D by youth participants and adult leaders) to assess how adult leaders in Informal Science Education (ISE) settings used the curriculum and citizen science projects as conduits to engage youth in scientific inquiry.
Randi Korn & Associates, Inc. (RK&A) was contracted to conduct a formative evaluation of The Conservation Trust of Puerto Rico’s (the Trust) National Science Foundation-funded Citizen Science Program, which recruits and trains local Puerto Ricans to conduct scientific research about the Rio Manati watershed alongside Trust scientists, staff, and interpreters. How did we approach this study? The purpose of this evaluation was to explore participants’ motivations, experiences with program logistics, level of engagement, and understanding of project and activity goals, as well as staff and
This Advancing Informal Science Learning Pathways project, Using Technology to Research After Class (UTRAC), explores whether a combination of technology (e.g., iPad-enabled sensors, web-based inquiry-focused portal) and facilitated visits improves learning outcomes for rural and Native American elementary-age youth in after school programs. Expected outcomes include improved engagement, knowledge, skills, and attitudes toward science, technology, engineering, and math (STEM). Project goals include promoting STEM learning through science inquiry activities keyed to specific Next Generation Science Standards as well as improving how technology can be used to enhance learning outcomes in afterschool programs. The experimental design of this project - testing the effects of physical or virtual facilitation visits on learning outcomes - will lead to improvements in STEM learning outcomes among rural and underrepresented students. This project will employ several innovations in utilizing technology to teach STEM topics including: (i) hands-on, real-time, crowd sourced data collected by participants in their schoolyards; (ii) a pedagogic emphasis on communication of schoolyard data among and between participants; (iii) testing of motivational incentives; and (iv) partnerships between after school providers, preservice teachers, and university researchers as facilitators. The entire process will be modularized so that it can be modified in terms of place, STEM topic or student cohort. The topic focus of the project -- Life Under Snow -- is relevant to participating students, as Montana school playgrounds lie blanketed under snow for the majority of the school year; it includes elements of snow science, carbon cycle science, and a combination at the intersection of three recent literacy initiatives (e.g., Earth Science, Climate, or Energy). UTRAC will pilot and evaluate facilitated snow science/carbon cycle science activities that couple real-time schoolyard data with tools patterned after those available through WISE (Web-based Inquiry Science Environment; wise.berkeley.edu). Participants will collect and compare data with other youth participants, and researchers will use formative assessments to define interventions with potential to maximize student engagement and learning improvements among underserved youth. The project will advance understanding of informal education's potential to improve STEM engagement, knowledge, skills and attitudes by quantifying how - and to what extent - youth engage with emerging technologies iPad-enabled sensors, and crowdsourcing and visualization tools. The deliverables include a quantifying metric for learning outcomes, a training model for the iPad sensors and web application, an orientation kit, a social media portal, and database for the measurements.