This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).
Scientists and researchers from fields as diverse as oceanography and ecology, astronomy and classical studies face a common challenge. As computer power and technology improve, the sizes of data sets available to us increase rapidly. The goal of this project is to develop a new methodology for using citizen science to unlock the knowledge discovery potential of modern, large data sets. For example, in a previous project Galaxy Zoo, citizen scientists have already made major contributions, lending their eyes, their pattern recognition skills and their brains to address research questions that need human input, and in so doing, have become part of the computing process. The current Galaxy Zoo project has recruited more than 200,000 participants who have provided more than 100 million classifications of galaxies from the Sloan Digital Sky Survey. This project builds upon early successes to develop a mode of citizen science participation which involves not only simple "clickwork" tasks, but also involves participants in more advanced modes of scientific thought. As part of the project, a symbiotic relationship with machine learning tools and algorithms will be developed, so that results from citizen scientists provide a rich training set for improving algorithms that in turn inform citizen science modes of participation. The first phase of the project will be to develop a portfolio of pilot projects from astrophysics, planetary science, zoology, and classical studies. The second phase of the project will be to develop a framework - called the Zooniverse - to facilitate citizen scientists. In particular, research and machine-learning communities will be engaged to identify suitable projects and data sets to integrate into Zooniverse.
The ultimate goal with the Zooniverse is to create a sustainable future for large-scale, internet-based citizen science as part of every researcher?s toolkit, exemplifying a new paradigm in computational thinking, tapping the mental resources of a community of lay people in an innovative and complex manner that promises a profound impact on our ability to generate new knowledge. The project will engage thousands of citizens in authentic science tasks leading to a better public understanding of science and also, by the engagement of students, leading to interest in scientific careers.
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TEAM MEMBERS:
Geza GyukPamela GayChristopher LintottMichael RaddickLucy FortsonJohn Wallin
There is a vast terrain of emerging research that explores recent innovations in digital games, particularly as they relate to questions of teaching and learning science. One such game, Citizen Science, was developed to teach players about the practice of citizen science as well as lake ecology. Citizen science is a pedagogy that has a long history within the scientific community, engaging the public in ongoing community and environmental surveys to collect data for existing small-scale studies. More recently, citizen science has gained traction as an educational context for teaching and
WGBH received funding to develop and create NOVA Labs, an online environment that provides teen audiences with an online research lab, educational content, and the opportunity to engage with authentic data, tools, and processes to investigate scientific questions. This work has begun with the development of a first pilot lab, called The Sun Lab. NOVA Education created and launched this lab in early summer 2012. Examining the site in its pilot form, the Lifelong Learning Group (LLG) engaged in a formative evaluation to support refinements and improvements in the design of subsequent NOVA Lab
This project will expand the functions and applications of FieldScope, a web-based science information portal currently supported by the National Geographic Society (NGS). The goal is to create a single, powerful infrastructure for Public Participation in Science Research (PPSR) projects that any organization can use to create their own project and support their own community of participants. FieldScope currently provides various tools and applications for use by its existing user base that includes the GLOBE project and the Chesapeake Bay monitoring system. The application enables users to contribute volunteered geographic data collection efforts and sharing information among both professional and amateur users. The project would develop and test an enhanced version of the existing FieldScope application. The project supports major programming development for a fully-functional web-based application that would significantly enhance the usability of the current application. Along with programming new features and capabilities, the project involves extensive evaluation of the new capabilities and involves three citizen-based organizations as testbeds.
The project will increase the capability of the existing system to handle large numbers of users and user groups and also increase the number and variety of tools available to any user; provide customization through the adaption of common APIs; and provide for expansion of computer space through use of virtual servers in a cloud computing environment thereby limiting the need for installed hardware. This approach would maximize storage and computing power by being able to call on resources when necessary and scaling back when demand decreases. The platform would include advanced visualization capabilities as part of a suite of analytic tools available to the user. Social networking applications would also be incorporated as a way of enabling communication among users of a particular site. The operation of the portal would be supported by the NGS and made available free of charge to any group of users applying for space. Nominal fees will be applied to large organizations requiring large computing space or additional features. User groups can request NGS supply custom features for the cost of development and deployment.
The evaluation of this project is extensive and focused on formative evaluation as a means to identify user preferences, from look and feel of the site to types of tools desired and types of uses expected. The formative evaluation would be conducted ahead of any commitment to programming and formatting of the features of the site. The project responds to a need expressed throughout the citizen science community for web-based applications that enable individuals to engage in a topic of interest, interact in various ways on such a site including the submission of data and information, analyze the information in concert with others and with working scientists in the field, and utilize state-of-the-art tools such as visualization as a way of making sense of the data being collected. There have been numerous proposals to create similar types of sites from various groups, each based on its own perceived needs and grounded in its own particular discipline or topic. This activity could serve this community more broadly and save similar groups the trouble and expense of creating sites from scratch.
The Sharing the Universe (STU) project was funded by NSF in 2007 to develop and make available resources and supports to deepen and broaden the education and public outreach (EPO) of amateur astronomy clubs who are members of the Night Sky Network. To achieve this goal, the project funded a development group: the Astronomical Society of the Pacific, and a research group: Institute for Learning Innovation. These two groups were to work as partners, both to study the barriers and challenges that existed for amateur astronomy clubs to educational outreach, and to apply what was learned from those
Our Year 3 formative evaluation of Go Botany, a four-year NSF-funded project focused on botanical learning, centered on tracking the continued development and the launch of the Go Botany Simple Key, which contains botanical data on more than 1200 native plants in the New England region. The project is a collaboration between the New England Wild Flower Society and three partnering institutions: The Montshire Museum of Science in Norwich, VT; The Chewonki Foundation in Wiscasset, Maine; and the Yale Peabody Museum on Natural History in New Haven, CT. During Year 3, the Go Botany Simple Key was
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TEAM MEMBERS:
Judah LeblangNew England Wild Flower Society
The Herpetology Education in Rural Places & Spaces (HERPS) project is a four-year full-scale development project designed to engage diverse North Carolina residents from the Central Piedmont, Eastern Piedmont, and Inner Coastal Plain regions of the state in conservation and field experiences focused on herpetology, the study of reptiles and amphibians. The project targets rural underrepresented groups in STEM; predominately African-Americans, Hispanics, and Lumbee Native Americans. The University of North Carolina-Greensboro and its partner organizations, Elon University and University of North Carolina-Pembroke, will partner to develop and implement all phases of the project. Ultimately, the project aims to increase knowledge of and interest in herpetology and related conservation issues, provide authentic research experiences, and better understand identity-related motivations and affordances of the casual, regular, and enthusiastic participant across project strands. HERPS builds on four pilot studies and will engage people of all ages in a broad range of herpetological activities including: (a) an annual herpetology-focused community event (HERPS Celebrations), (b) technology resources such as a project website and customized mobile applications (HERPS Cyberhub), (c) summer and year-long herpetological research experiences (HREs) for high school students and teachers, and (d) in-depth longitudinal herpetological study opportunities (e.g., box turtle study). In addition, there is separate but integrated research stand that will focus on identity and HERPS experiences, as settings for informal science learning. The identity research will study: (a) identity-related motivations and (b) identity-related affordances of casual, regular and enthusiastic participants across threads. In addition, an extensive formative and summative evaluation will be conducted using a mixed methods approach by an external evaluator. Using a multiple-entry-points approach for learning and engagement, this project could serve as a replicable model for similar efforts in other settings. In addition, the results of the identity reseach strand could fill a critical gap in the identity and informal science education research bases. With an average estimated reach of nearly 15,000 people of all ages and diverse backgrounds, the potential broader impacts of this project could be extensive.
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TEAM MEMBERS:
Catherine MatthewsAndy AshTerry TomasekAnn SomersHeidi Carlone
The Cornell Lab of Ornithology is creating a new type of interactive, question-driven, online bird-identification tool called "Merlin," along with associated games, social networking tools, and other media. Unlike existing bird-identification guides, which are based on traditional taxonomic keys written by scientists, Merlin uses machine learning algorithms and crowd-sourced data (information provided by thousands of people) to identify birds and improve Merlin's performance with each interaction. The tool will help millions of people identify birds and participate in a collective effort to help others. The Crowd ID project will make it easier for people to discover the names of birds, learn observation and identification skills, find more information, and appreciate Earth's biodiversity. The summative evaluation plan is measuring increases in participants' knowledge, engagement, and skills, as well as changes in behavior. Impacts on participants will be compared to a control group of users not using Merlin. Merlin tools will be integrated into the Cornell Lab's citizen science and education projects, which reach more than 200,000 participants, schoolchildren, and educators across the nation. Merlin will be broadly adapted for use on other websites, social networking platforms, exhibits, mobile devices, curricula, and electronic field guides. Once developed, Merlin can be modified to identify plants, rocks, and other animals. Merlin will promote growth of citizen science projects which depend on the ability of participants to identify a wide range of organisms.
The University of Pittsburgh's Center for Learning in Out-of-School Environments (UPCLOSE), the Carnegie Museum of Natural History, and the Robotics Institute at Carnegie Mellon University are building an open access cyberlearning infrastructure that employs super high-resolution gigapixel images as a tool to support public understanding, participation, and engagement with science. Networked, gigapixel image technology is an information and communication technology that creates zoomable images that viewers can explore, share, and discuss. The technology presents visual information of scientifically important content in such detail that it can be used to promote both scientific discovery and education. The purpose of the project is to make gigapixel technology accessible and usable for informal science educators and scientists by developing a robotic imaging device and online services for the creation, storage, and sharing of billion-pixel images of scientifically important content that can be analyzed visually. Project personnel are conducting design activities, user studies, and formative evaluation studies to support the development of a gigapan technology platform for demonstration and further prototyping. The project builds on and leverages existing technologies to provide informal science education organizations use of gigapixel technology for the purpose of facilitating three types of activities that promote participatory learning by the public--Public Understanding of Science activities; Public Participation in Scientific Research activities; and Public Engagement in Science activities. The long-terms goals of the work are to (1) create an accessible database of gigapixel images that informal science educators can use to facilitate public-scientist interactions and promote participatory science learning, (2) characterize and demonstrate the affordances of networked gigapixel technologies to support socially-mediated, science-focused cyberlearning experiences, (3) generate knowledge about how gigapixel technology can enable three types of learning interactions between scientists and the public around visual data, and (4) disseminate findings that describe the design, implementation, and evaluation of the gigapixel platform to support participatory science learning. The project\'s long-term strategic impacts include guiding the design of high-resolution images for promoting STEM learning in both informal and formal settings, developing an open educational resource and science communication platform, and informing informal science education professionals about the use and effectiveness of gigapixel images in promoting participatory science learning by the public.
The Maryland Science Center, in partnership with SK Films, Inc. received NSF funding to produce a large format, 2D/3D film and multi-component educational materials and activities on the annual migration of monarch butterflies, their life cycle, the web of life at select sites where they land, and the citizen science efforts that led to the monarch migration discovery. Project goals are to 1) raise audience understanding of the nature of scientific investigation and the open-ended nature of the scientific process, 2) enhance and extend citizen science programs to new audiences, and 3) create better awareness of monarch biology, insect ecology and the importance of habitat. Innovation/Strategic Impact: The film has been released in both 3D and 2D 15/70 format. RMC Research Corporation has conducted evaluation of the project, both formatively and summatively, including a study of the comparable strengths of the 2D and 3D versions of the film. RMC has conducting formative evaluation and is currently conducting summative evaluation to assess the success of project materials in communicating science and achieving the project's learning goals. Collaboration: This project employs a collaborative model of partnerships between the project team and the National Science Teachers Association (NSTA), the University of Minnesota's Monarchs in the Classroom and Monarch Watch. Project advisors represent world-renown monarch butterfly research scientists and educators, including Dr. Karen Oberhauser, named a "Champion of Change" by President Obama in June 2013, and Dr. Chip Taylor, founder and director of Monarch Watch at the University of Kansas.
The Cornell Lab of Ornithology, the Institute for Learning Innovation, and several environmental organizations are merging existing bird-focused citizen science programs with gardening and online social networking activities to provide older adult learners (age 35 and up) with opportunities to investigate the environmental impacts of implementing landscaping and carbon-reducing practices in their backyards, community gardens, and parks. The YardMap Network project is developing learning resources that will help gardeners, birders, and novices learn bird-habitat improving and carbon-reducing living practices by joining a nationwide ecological social network composed of more than 100,000 people. The goal of the project is to create online learning communities that move people from basic and intermediate levels ecological understanding to advanced levels of understanding by providing experiences whereby YardMappers learn about, design, evaluate, share, and invent conservation practices in their backyards and other green spaces. While developing the network, the project will gather data to test the hypothesis that coupling citizen science activities with social networking technologies to create online learning communities improves participants\' understanding of project-relevant science, technology, engineering, and mathematics. The project will track learning outcomes using standard evaluation techniques and by following individuals\' routes of entry, network interactions, mapped garden practices, carbon-neutral behaviors, and their bird monitoring activities. YardMappers will divide naturally into treatment groups, creating a quasi-experimental design to test the importance of social networking for basic, intermediate, and advanced learning outcomes.