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
Worldwide, four million people participate in geocaching--a game of discovering hidden treasures with GPS-enabled devices (including smart phones). Geocachers span all ages and tend to be interested in technology and the outdoors. To share information about the Montana Climate Assessment (MCA), an NSF-funded scientific report, Montana State University created a custom trackable geocaching coin featuring the MCA Website and logo. We then recruited volunteers to hide one coin in each of Montana’s 56 counties. Volunteer geocachers enthusiastically adopted all 56 counties, wrote blogs and social media posts about the coins, and engaged local Scout troops and schools. Other geocachers then found and circulated the coins while learning about Montana’s climate. One coin has traveled nearly 4,000 miles; several have visited other states and Canada. 95% of the volunteers said the project made them feel more connected to university research, and they told an average of seven other people about the project. Nearly all of the participants were unfamiliar with the Montana Climate Assessment prior to participating. The geocaching educational outreach project included several partnerships, including with Geocaching Headquarters in Seattle (a.k.a. “Groundspeak”); Cache Advance, Inc., an environmentally friendly outdoor gear company; and Gallatin Valley Geocachers. An advisory board of geocachers helped launch the project.
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TEAM MEMBERS:
Suzi TaylorRay CallawayM.J. NehasilCathy Whitlock
The widespread accessibility of live streaming video now makes it possible for viewers around the world to watch live events together, including unprecedented, 24/7 views of wildlife. In addition, online technologies such as live chatting and forums have opened new possibilities for people to collaborate from locations around the world. The innovation that the projects provide is bringing these opportunities together, enabling real-time research and discussion as participants observe and annotate live streaming footage; sharing questions and insights through live Q&A sessions; and explore data with interactive visualization tools. Scientists will support the community's research interests, in contrast with traditional models of citizen science in which communities support the work of scientists. This project will enable people from diverse backgrounds and perspectives to co-create scientific investigations, including participants who might not otherwise have access to nature. The evaluation research for this project will advance the understanding of practices that enable interconnected communities of people to participate in more phases of scientific discovery, and how participation affects their learning outcomes. It 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 science, technology, engineering, and mathematics (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. As such, this project will advance a new genre of Public Participation in STEM Research (PPSR). It will also advance scientific exploration using live wildlife cams and establish a database for long-term research to understand how bird behavior and reproductive success are affected by environmental change. This project aims to deepen public involvement in science, building on knowledge and relevance for STEM learning by creating an online learning environment that expands on traditional crowdsourcing models of PPSR in which participants collect data to answer questions driven by scientists. In this project, participants are involved in co-created research investigations, including asking questions, deciding what data are needed, generating data, looking for patterns, making interpretations, reviewing results, and sharing findings. The goals are to 1) create a system that involves the public more deeply in scientific research; 2) develop participants' science skills and interests; 3) increase participants' understanding of birds and the environment; 4) generate new scientific knowledge about wildlife; and 5) advance the understanding of effective project design for co-created PPSR projects at a national scale. Through iterative design and evaluation, the project will advance the understanding of the conditions that foster online collaboration and establish design principles for supporting science and discovery in online learning environments. Through scaling and quasi-experimental studies, the evaluation research will advance the understanding of how learning outcomes may be similar or different for participants engaging in different ways, whether they observe the cams and read about the investigation, process data as contributors, provide some input as collaborators, or join in most or all of the scientific process as co-creators. Despite the popularity of live wildlife cams, with millions of people watching hundreds of cams around the world, little research has been conducted on the use of live cams for collaborative work in formal or informal science education. The infrastructure and open-source framework created for this project will expand the capacity for online communities of people from diverse career backgrounds and perspectives to collaborative on solving personally meaningful questions and contribute to new knowledge. Using this project as a prototype, cam operators from around the world could build networks of cams, enabling future studies with broader scope for comparative biological studies and discoveries. Additionally, it will serve as a model for use in classrooms or for online communities exploring other scientific fields using live-streaming content in collaborative research. By involving scientists and participants from across society as collaborators and co-creators, this project can help increase public engagement with science, technology, and environmental stewardship while advancing the understanding of the natural world and informing public decision-making.
A majority of Americans rely on general outlets for science news but more say specialty sources get the facts right about science. This report presents findings from a survey conducted among a nationally representative sample of 4000+ adults from May 30-June 12, 2017. The survey asked about a range of issues from how the public encounters science news and assesses what and who to trust to other ways that people engage with science information in everyday life, including participation in citizen science research projects, hobbies, and consumption of entertainment programming built around
A three day TTT session was held in May 2015 at Twin Cities PBS in St. Paul, MN to train nine representatives from NGCP State Collaboratives in the SciGirls Seven and Citizen SciGirls project materials (episodes, activities). NGCP chose the nine leaders (from nine states) through an application process specifically targeting regions who had not previously received training on SciGirls research-based strategies. These trainers were then expected to hold two training sessions with up to 30 educators at each session between fall of 2015 and fall of 2016. Fourteen sessions were held reaching
This article examines certain guiding tenets of science journalism in the era of big data by focusing on its engagement with citizen science. Having placed citizen science in historical context, it highlights early interventions intended to help establish the basis for an alternative epistemological ethos recognising the scientist as citizen and the citizen as scientist. Next, the article assesses further implications for science journalism by examining the challenges posed by big data in the realm of citizen science. Pertinent issues include potential risks associated with data quality
Computational social science represents an interdisciplinary approach to the study of reality based on advanced computer tools. From economics to political science, from journalism to sociology, digital approaches and techniques for the analysis and management of large quantities of data have now been adopted in several disciplines. The papers in this JCOM commentary focus on the use of such approaches and techniques in the research on science communication. As the papers point out, the most significant advantages of a computational approach in this sector include the chance to open up a range
Public Participation in Scientific Research (PPSR), often referred to as crowdsourcing or citizen science, engages participants in authentic research, which both advances science discovery as well as increases the potential for participants' understanding and use of science in their lives and careers. This four year research project examines youth participation in PPSR projects that are facilitated by Natural History Museums (NHMs). NHMs, like PPSR, have a dual focus on scientific research and science, technology, engineering, and mathematics (STEM) education. The NHMs in this project have established in-person and online PPSR programs and have close ties with local urban community-based organizations. Together, these traits make NHMs appropriate informal learning settings to study how young people participate in PPSR and what they learn. This study focuses on three types of PPSR experiences: short-term outdoor events like bioblitzes, long-term outdoor environmental monitoring projects, and online PPSR projects such as crowdsourcing the ID of field observations. The findings of this study will be shared through PPSR networks as well as throughout the field in informal STEM learning in order to strength youth programming in STEM, such that youth are empowered to engage in STEM research and activities in their communities. This project is funded through Science Learning+, which is an international partnership between the National Science Foundation (NSF) and the Wellcome Trust with the UK Economic and Social Research Council. The goal of this joint funding effort is to make transformational steps toward improving the knowledge base and practices of informal STEM experiences. Within NSF, Science Learning+ is part of the Advancing Informal STEM Learning (AISL) program that seeks to enhance learning in informal environments and to broaden access to and engagement in STEM learning experiences.
The study employs observations, surveys, interviews, and learning analytics to explore three overarching questions about youth learning: 1) What is the nature of the learning environments and what activities do youth engage in when participating in NHM-led PPSR? 2) To what extent do youth develop three science learning outcomes, through participation in NHM-led citizen science programs? The three are: a) An understanding of the science content, b) identification of roles for themselves in the practice of science, and c) a sense of agency for taking actions using science? 3) What program features and settings in NHM-led PPSR foster these three science learning outcomes among youth? Based on studies occurring at multiple NHMs in the US and the UK, the broader impact of this study includes providing research-based recommendations for NHM practitioners that will help make PPSR projects and learning science more accessible and productive for youth. This project is collaboration between education researchers at University of California, Davis and Open University (UK), and Oxford University (UK) and citizen science practitioners, educators, and environmental scientists at three NHMs in the US and UK: NHM London, California Academy of Sciences, and NHM Los Angeles.
While science communication has become increasingly professionalised, philosophers have been far less active in, and reflective about, how we talk to the public. In thinking about the relationship between the ‘public intellectual’ and science communication, however, philosophy has some important contributions to make, despite the differences of content and disciplinary approach. What, then, can both these professions learn from each other about how to engage with the public - and the risks that this might involve?
Citizen science continues to grow, potentially increasing competition among projects to recruit and retain volunteers interested in participating. Using web analytics, we examined the ability of a marketing campaign to broaden project awareness, while driving engagement and retention in an online, crowdsourced project. The campaign challenged audiences to support the classification of >9,000 pairs of images. The campaign was successful due to increased engagement, but it did not increase the time participants spent classifying images. Engagement over multiple days was significantly shorter
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TEAM MEMBERS:
Alycia CrallMargaret KosmalaRebecca ChengJonathan BrierDarlene CavalierSandra HendersonAndrew Richardson
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
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.