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
Citizen science is a form of Public Participation in Scientific Research (PPSR) in which the participants are engaged in the scientific process to support research that results in scientifically valid data. Opportunities for participation in real and authentic scientific research have never been larger or broader than they are today. The growing popularity and refinement of PPSR efforts (such as birding and species counting studies orchestrated by the Cornell Lab of Ornithology) have created both an opportunity for science engagement and a need for more research to better implement such projects in order to maximize both benefits to and contributions from the public.
Towards this end, Shirk et al. have posted a design framework for PPSR projects that delineates distinct levels of citizen scientist participation; from the least to the highest level of participation, these categories are contract, contribute, collaborate, co-create, and colleagues. The distinctions among these levels are important to practitioners seeking to design effective citizen science programs as each increase in citizen science participation in the scientific process is hypothesized to have both benefits and obstacles. The literature on citizen science models of PPSR calls for more research on the role that this degree of participation plays in the quality of that participation and related learning outcomes (e.g., Shirk et al., 2012; Bonney et al., 2009). With an unprecedented interest in thoughtfully incorporating citizen science into health-based studies, citizen science practitioners and health researchers first need a better understanding of the role of culture in how different communities approach and perceive participation in health-related studies, the true impact of intended educational efforts from participation, and the role participation in general has on the scientific process and the science outcome.
Project goal to address critical barrier in the field: Establish best practices for use of citizen science in the content area of human health-based research, and better inform the design of future projects in PPSR, both in the Denver Museum of Nature & Science’s Genetics of Taste Lab (Lab), and importantly, in various research and educational settings across the field.
Aims
Understand who currently engages in citizen science projects in order to design strategies to overcome the barriers to participation that occur at each level of the PPSR framework, particularly among audiences underrepresented in STEM.
Significantly advance the current knowledge regarding how citizen scientists engage in, and learn from, and participate in the different levels of the PPSR framework.
Determine the impact that each stage of citizen science participation has on the scientific process.
The NIH Science Education Partnership Award (SEPA) program of Emory University endeavors to use an over-arching theme of citizen science principles to:
develop an innovative curriculum based on citizen science and experiential learning to evaluate the efficacy of informal science education in after-school settings;
promote biomedical scientific careers in under-represented groups targeting females for Girls for Science summer research experiences;
train teachers in Title I schools to implement this citizen science based curriculum; and
disseminate the citizen science principles through outreach.
This novel, experiential science and engineering program, termed Experiential Citizen Science Training for the Next Generation (ExCiTNG), encompasses community-identified topics reflecting NIH research priorities. The curriculum is mapped to Next Generation Science Standards.
A comprehensive evaluation plan accompanies each program component, composed of short- and/or longer-term outcome measures. We will use our existing outreach program (Students for Science) along with scientific community partnerships (Atlanta Science Festival) to implement key aspects of the program throughout the state of Georgia. These efforts will be overseen by a central Steering Committee composed of leadership of the Community Education Research Program of the Emory/Morehouse/Georgia Institute of Technology Atlanta Clinical Translational Science Institute (NIH CTSA), the Principal Investigators, representatives of each program component, and an independent K–12 STEM evaluator from the Georgia Department of Education.
The Community Advisory Board, including educators, parents, and community members, will help guide the program’s implementation and monitor progress. A committee of NIH-funded investigators, representing multiple NIH institutes along with experienced science writers, will lead the effort for dissemination and assure that on-going and new NIH research priorities are integrated into the program’s curriculum over time.
The HOWL science team set out to analyze the quality of the Hofmann Forest’s watershed in order to understand the Hofmann’s place in the coastal ecosystem as a whole and how its quality would affect the surrounding human and ecological community. However, we realized quickly that we would need help collecting hundreds of stream water samples and observations, and so we partnered with the Izaak Walton League to help us contact and get local community members involved in such an overwhelming task. Local volunteers will not only help collect samples for this large-scale citizen science project, but will also help us try out some new equipment for water sampling and testing. And so, along with your help, the HOWL Project will:
Gain knowledge of water quality, and quantity, of the White Oak, New, and Trent Rivers in the Hofmann Forest in Eastern NC.
Demonstrate the feasibility of using low-cost analytical equipment for water quality testing.
Increase understanding of North Carolina’s rapidly changing coast due to the threats of sea-level rise, deforestation, agricultural expansion, and new substantial developments.
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TEAM MEMBERS:
Meredith HovisFrederick CubbageMadhusudan KattiKathleen McGinley
The Growing Beyond Earth Project (GBE) is a STEM education program designed to have middle and high school students conduct botany experiments, designed in partnership with NASA researchers at Kennedy Space Center, that support NASA research on growing plants in space. GBE was initiated by Fairchild Tropical Botanic Garden in collaboration with NASA's Exploration Research and Technology Programs and Miami-Dade County Public School District. Project goals are to: (1) improve STEM instruction in schools by providing authentic research experiments that have real world implications through curricular activities that meet STEM education needs, comprehensive teacher training, summer-long internships and the development of replicable training modules; (2) increase and sustain youth and public engagement in STEM related fields; (3) better serve groups historically underrepresented in STEM fields; and (4) support current and future NASA research by identifying and testing new plant varieties for future growth in space. During the 2016-17 academic year, 131 school classrooms participated in the program. To date, students have tested 91 varieties of edible plants and produced more than 100,000 data points that have been shared with the researchers at KSC.
One common barrier to STEM engagement by underserved and underrepresented communities is a feeling of disconnection from mainstream science. This project will involve citizen scientists in the collection, mapping, and interpretation of data from their local area with an eye to increasing STEM engagement in underrepresented communities. The idea behind this is that science needs to start at home, and be both accessible and inclusive. To facilitate this increased participation, the project will develop a network of stakeholders with interests in the science of coastal environments. Stakeholders will include members of coastal communities, academic and agency scientists, and citizen science groups, who will collectively and collaboratively create a web-based system to collect and view the collected and analyzed environmental information. Broader impacts include addressing the STEM barriers to those who reside in the coastal environment but who are underrepresented in STEM education, vocations and policy-making. These include tribal communities (racial and ethnic inclusion), fishery communities (inclusion of communities of practice), and rural communities without direct access to colleges or universities. This project will create a physical, a social, and a virtual, environment where all participants have an equal footing in the processes of "doing science" - the Coastal Almanac. The Almanac is simultaneously a network of individuals and organizations, and a web-based repository of coastal data collected through the auspices of the network. During the testing phase, the researchers will implement the "rules of engagement" through multiple interaction pathways in the growing Coastal Almanac network: increases in rigorous citizen science, development of specific community-scientist partnerships to collect and/or use Almanac data, development of K-12 programs to collect and/or use Almanac data. The proposed work will significantly scale up citizen science and community-based science programs on the West Coast, broadening participation by targeting members of coastal communities with limited access to mainstream science, including participants from non-STEM vocations, and Native Americans. The innovation of the Coastal Almanac is in allowing the process of deepening involvement in science, and through that process increasing agency of community members to be bona fide members of the science team, to evolve organically, in the manner dictated by community members and the situation, rather than a priori by the project team and mainstream science. The project has the potential in the long-term to increase participation in marine science education, workforce, and policy-making by underrepresented groups resident in the coastal environment. Contributions by project citizen scientists will also provide valuable data to mainstream science and to resource management efforts.
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TEAM MEMBERS:
Julia ParrishMarco HatchSelina Heppell
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
Finding inclusive approaches to broaden the participation of underrepresented communities in the sciences is the focus of this project. The team will create pathways for Native American students from the development of new partnerships between tribal communities and STEM institutions that promote the participation and inclusion of Native American scientists in the geosciences. Each partner brings a successful program, based on good practices from the research literature in improving outcomes for underrepresented students and scientists. Together, the researchers will create scientific collaborations that support a pipeline for Native American students from middle school through to graduate school and beyond. In addition, the project will work on building welcoming workplace climates for indigenous researchers within ?traditional Western? organizations. The approach will integrate indigenous and Western knowledge in research collaborations to create more creative, innovative, and culturally relevant science research programs.
This project, Integrating Indigenous and Western Knowledge to Transform Learning and Discovery in the Geosciences, uses the principles of collective impact to create new partnerships between tribal communities and STEM institutions that promote the participation and inclusion of Native American scientists in the geosciences. The project collaborators will more strongly integrate indigenous and Western knowledge into collectively-developed research projects. The project partners the Rising Voices: Collaborative Science for Climate Solutions (Rising Voices) and member tribal colleges and communities with Haskell Indian Nations University, the National Center for Atmospheric Research (NCAR), the University of Arizona?s Biosphere 2, and National Center for Atmospheric Research?s Significant Opportunities in Atmospheric Research and Science (SOARS) internship and Global Learning and Observation to Benefit the Environment (GLOBE) citizen science programs. Together, they will build research partnerships between Native American and traditional Western scientists, provide professional development for NCAR and Biosphere 2 scientists on how to engage appropriately with tribal communities, and provide pathways for NA students from middle school through college, to grad school and beyond. The project will connect community-based citizen science programs for middle- and high school youth with undergraduate programs at Haskell Indian Nations University and University of Arizona, and with summer research internship experiences for undergraduates and graduate students that address topics of interest across tribal communities, tribal college faculty, traditional science institutions, and community-based citizen science. This project also enhances the research capacity of all partners, and brings together diverse perspectives, which have been shown to lead to greater innovation, creativity, and higher impact research. The project has the potential to provide a tried and tested model for building similar partnerships at other institutions, including content and methods for professional development for mainstream scientists, ways to create more welcoming spaces for Native American students and scientists, promising practices for improving how research in the geosciences carried out, and an increase in the representation of Native American students and scientists in that vital research enterprise.
Through the NSF Innovation Corps for Learning Program, (I-Corps L), this project will develop ways to enable the SciStarter program to extend the promise of citizen science by connecting millions of citizen scientists with scientists in need of their help through formal and informal research projects. Citizen science is a fast growing field that engages the public in scientific inquiry through data collection projects and environmental monitoring using sensors, mini spectrometers, water testing kits and other tools. A challenge for the citizen science community has been access to the tools required to collect the types of data needed in citizen science projects. SciStarter facilitates broader participation in citizen science by reducing the barrier for volunteers to identify, acquire, and use the right scientific tools and instruments for each project. This I-Corps for Learning project will develop approaches to enable SciStarter to provide a larger number of citizen scientists with easier access to required and recommended instruments needed for meaningful participation in citizen science projects.
SciStarter aims to provide a holistic solution to the needs of citizen scientists that includes projects, support, and products such as training materials and consulting. SciStarter can be a catalyst in citizen science by connecting people to opportunities to engage and in lowering barriers to public participation in scientific research while creating a hybrid academic-consumer sustainability model. A central focus of this current effort will be establishing a sustainable and scalable means of enabling citizen scientists to obtain equipment and instruments in an efficient and cost-effective manner. The project will make use of elements already in place to expand the engagement of citizen scientists in new or multiple projects, to empower citizens in the process of citizen science, and to provide a useful, scalable and sustainable solution for scientists leading citizen science research projects. The extension of SciStarter will set the stage for greater inclusion of previously marginalized groups in citizen science activities and will extend to all forms of public engagement in science.
This INSPIRE project addresses the issue of high volume hydraulic fracturing, also called fracking, and its effects on ground water resources. Fracking allows drillers to extract natural gas from shale deep within the earth. Methane gas sometimes escapes from shale gas wells and can contaminate water resources or leak into the atmosphere where it contributes to greenhouse gas emissions. Monitoring for these potential leaks is difficult because methane is also released into aquifers naturally, and because monitoring is time- and resource-intensive. Such subsurface leakage may also be relatively rare. This project seeks to improve overall understanding of the impacts of natural gas drilling using both advances in computer science and geoscience, and to teach the public about such impacts. The project will elucidate both the effects of human activities such as shale gas development as well as natural processes which release methane into natural waters. Results of the proposed research will lead to a better understanding of water quality in areas of shale-gas development and will highlight problems and potentially problematic management practices. The research will advance both the fields of geoscience and computer science, will train interdisciplinary graduate students, and involve citizen scientists in collecting data and understanding environmental data analysis.
The project combines new hydro-geochemical strategies and data mining approaches to study the release of methane into streams and ground waters. For example, researchers will explore how to analyze the heterogeneous spatial data that describe distributions of methane concentrations in natural waters. The objectives of this project are to i) transform the ability to measure methane in streams; ii) train citizen scientists to work with project scientists to sample streams in an area of shale-gas development and publish large-volume datasets of methane in natural waters and aquifers; iii) innovate data mining and machine learning methods for environmental data to identify anomalous spots with potential leakage; iv) run field campaigns to measure methane concentrations and isotopic signatures of water samples in these spots; v) foster dialogue among nonscientists, consultants, university scientists, members of the gas industry, government agencies, and nonprofit organizations in and beyond the target region. Toward this end, the team will host workshops aimed to build dialogue among stakeholders and will release data analytic software for environmental measurements to benefit a broader research community.
A frequently missing element in environmental education programs is a concerted effort by communities, organizations, government, and academic stakeholders to build meaningful partnerships and cultivate informal science learning opportunities via public participation in environmental research. This collaborative approach not only makes scientific information more readily available, it also engages community members in the processes of scientific inquiry, synthesis, data interpretation, and the translation of results into action. This project will build a co-created citizen science program coupled with a peer education model and an extensive communication of results to increase environmental STEM literacy. The project targets historically underrepresented populations that are likely to be disproportionately impacted by climate, water scarcity, and food security. Based upon past needs assessments in the targeted communities, gardens irrigated by harvested rainwater will become hubs for environmental STEM education and research. For this project, gardens irrigated by harvested rainwater will serve as hubs for environmental literacy education efforts. Researchers from the University of Arizona and Sonora Environmental Research Institute will work alongside community environmental health workers, who will then train families residing in environmentally compromised areas (urban and rural) on how to monitor their soil, plant, and harvested water quality. The project aims to: (1) co-produce environmental monitoring, exposure, and risk data in a form that will be directly relevant to the participants' lives, (2) increase the community's involvement in environmental decision-making, and (3) improve environmental STEM literacy and learning in underserved rural and urban communities. The project will investigate and gather extensive quantitative and quantitative data to understand how: (1) participation in a co-created citizen science project enhances a participant's overall environmental STEM literacy; (2) a peer-education model coupled with a co-created citizen science program affects participation of historically underrepresented groups in citizen science; and (3) the environmental monitoring approach influences the participant's environmental health learning outcomes and understanding of the scientific method. In parallel, this project will evaluate the role of local-based knowledge mediators and different mechanisms to communicate results. These findings will advance the fields of informal science education, environmental science, and risk communication. Concomitantly, the project will facilitate the co-generation of a robust dataset that will not only inform guidelines and recommendations for harvested rainwater use, it will build capacity in underserved communities and inform the safe and sustainable production of food sources. This research effort is especially critical for populations in arid and semiarid environments, which account for ~40% of the global land area and are inhabited by one-third of the world's population. This program will be available in English and Spanish and can truly democratize environmental STEM research and policy. This project is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understandings of, the design and development of STEM learning in informal environments.