The Fluid Earth Viewer (FEVer), an interactive and visually appealing web application that will allow users to visualize current and past conditions of our planet's atmosphere and oceans will be built via this award. This free web application, available to anyone with an internet connection, will directly impact approximately 2,000 individuals in-person through three field tests and is expected to reach many more online.
FEVer will be an extension of an existing open-source web application, and the PIs will add polar data sets, extended options in the user interface, and the ability to view historical climate/weather data to the existing "earth" app. It will be a vehicle of modern Earth science communication, making information most often used by the scientific community accessible and engaging to broader communities. In particular, it will provide hands-on visualization of the important climatic role of the polar-regions, their connections to lower latitudes, and the changes they are undergoing. A companion website, FEVer-Ed, will provide background, educational support, and opportunities for additional learning through a gallery of historically interesting atmospheric and oceanic events. FEVer will serve as a gateway to data sets that have otherwise been inaccessible to audiences outside of the research community. While a number of large data sets are included in this proposal (regional and global operational weather models/reanalyses), the platform is scalable to include other data such as ice sheet and glacier dynamics.
This project is partially 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 infographic presents a visual summary of a user study of the InformalScience.org website, which was conducted in 2016. The study used online surveys, task-based interviews, and web analytics to explore the following questions: (1) Who are the site's users and what content do they value? (2) Does the site clearly convey its purpose to visitors? and (3) Are users able to navigate the site and use search tools effectively?
As part of the Exploratorium’s Indoor Positioning System (IPS) project, we prototyped a crowd-sourced, location-tagged audio app, called Exploratorium Voices, or Open Conversation, that visitors could use on smartphones to listen to short comments from staff, experts and other visitors and to leave their own comments for others to hear. This app was developed with Roundware, an open-source framework that collects, stores, and delivers audio content, integrated with a Wi-Fi IPS that provided location data used to tag audio recordings and determine where a visitor was to play recordings left
Social media has created networked communication channels that facilitate interactions and allow information to proliferate within professional academic communities as well as in informal social circumstances. A significant contemporary discussion in the field of science communication is how scientists are using (or might use) social media to communicate their research. This includes the role of social media in facilitating the exchange of knowledge internally within and among scientific communities, as well as externally for outreach to engage the public. This study investigates how a
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TEAM MEMBERS:
Kimberley CollinsDavid SchiffmanJenny Rock
Citizen science engages members of the public in science. It advances the progress of science by involving more people and embracing new ideas. Recent projects use software and apps to do science more efficiently. However, existing citizen science software and databases are ad hoc, non-interoperable, non-standardized, and isolated, resulting in data and software siloes that hamper scientific advancement. This project will develop new software and integrate existing software, apps, and data for citizen science - allowing expanded discovery, appraisal, exploration, visualization, analysis, and reuse of software and data. Over the three phases, the software of two platforms, CitSci.org and CyberTracker, will be integrated and new software will be built to integrate and share additional software and data. The project will: (1) broaden the inclusivity, accessibility, and reach of citizen science; (2) elevate the value and rigor of citizen science data; (3) improve interoperability, usability, scalability and sustainability of citizen science software and data; and (4) mobilize data to allow cross-disciplinary research and meta-analyses. These outcomes benefit society by making citizen science projects such as those that monitor disease outbreaks, collect biodiversity data, monitor street potholes, track climate change, and any number of other possible topics more possible, efficient, and impactful through shared software.
The project will develop a cyber-enabled Framework for Advancing Buildable and Reusable Infrastructures for Citizen Science (Cyber-FABRICS) to elevate the reach and complexity of citizen science while adding value by mobilizing well-documented data to advance scientific research, meta-analyses, and decision support. Over the three phases of the project, the software of two platforms, CitSci.org and CyberTracker, will be integrated by developing APIs and reusable software libraries for these and other platforms to use to integrate and share data and software. Using participatory design and agile methods over four years, the project will: (1) broaden the inclusivity, accessibility, and reach of citizen science; (2) elevate the value and rigor of citizen science software and data; (3) improve interoperability, usability, scalability and sustainability of citizen science software and data; and (4) mobilize data to allow cross-disciplinary research and meta-analyses. These outcomes benefit society by making citizen science projects and any number of other possible topics more possible, efficient, and impactful through shared software and data. Adoption of Cyber-FABRICS infrastructure, software, and services will allow anyone with an Internet or cellular connection, including those in remote, underserved, and international communities, to contribute to research and monitoring, either independently or as a team. This project is also being supported 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.
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TEAM MEMBERS:
Gregory NewmanLouis LiebenbergStacy LynnMelinda Laituri
This EAGER project sought to generate early knowledge for the museum field about the capabilities and limitations of an Indoor Positioning System to: 1) automate the collection of visitor movement data for museum research, and 2) enable location-aware applications designed to support museum visitor learning. Working with Qualcomm, Inc., the Exploratorium installed and experimented with an early prototype of a whole-museum, WiFi-based IPS that acquired and processed timestamped location data (latitude/longitude) from mobile test devices, similar to cell phones. The project 1) defined IPS ground
The achievement gap begins well before children enter kindergarten. Research has shown that children who start school having missed critical early learning opportunities are already at risk for academic failure. This project seeks to narrow this gap by finding new avenues for bringing early science experiences to preschool children (ages 3-5), particularly those living in communities with few resources. Bringing together media specialists, learning researchers, and two proven home visiting organizations to collaboratively develop and investigate a new model that engages families in science exploration through joint media engagement and home visiting programs. The project will leverage the popularity and success of the NSF-funded PEEP and the Big Wide World/El Mundo Divertido de PEEP to engage both parents and preschool children with science.
To address the key goal of engaging families in science exploration through joint media engagement and home visiting programs, the team will use a Design Based Implementation Research (DBIR) approach to address the research questions by iteratively studying the intervention model (the materials and implementation process) and assessing the impact of the intervention model on parents/caregivers. The intervention model will include the PEEP Family Engagement Toolkit that will support 20 weeks of family science investigations using new digital and hands-on science learning resources. It will also include new professional development resources for home educators as well as and the implementation process and strategies for developing and implementing the Toolkit with families.
The proposed research focuses first on refining and improving program design and implementation, and second, on investigating whether the intervention improves the capacity of parent/caregivers to support young children's learning in science. Ultimately this research will accomplish two important aims: it will inform the design of the PEEP family engagement intervention model, and, more broadly, it will build practical and theoretical understanding of: 1) effective family engagement models in science learning; 2) the types of supports that families and home educators need to implement these models; and 3) how to implement these models across different home visiting programs. Given the reach of the home visiting programs and the increasing interest in supporting early science learning the potential for broad impact is significant. 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.
The Baltimore Symphony Orchestra (BSO), in collaboration with the Psychology Department of the University of Maryland Baltimore County (UMBC) and Octava (a technology company), are conducting a pilot exploratory research project to assess the effectiveness of delivering informal science learning (ISL) to adult audiences through live music in a concert hall environment. The first half of the study is being timed to coincide with the 2016 annual meeting in Baltimore of the League of American Orchestras. Audiences will be introduced to the core idea that symmetry is a central concept both in science and in music, and they will experience these ideas via the orchestral music of pieces such as Aaron Copland's Appalachian Spring and Beethoven's Symphony. No. 5. The project goals are: to test whether and the extent to which informal STEM learning can occur among adults (ages 18+) during live orchestral performances and how the science content may enhance the audience experience; and to develop assessment tools for measuring audience learning and retention of scientific concepts delivered in connection with live musical performances both through interactive technology and through traditional program notes. 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 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 pilot study will investigate the interaction of key variables related to the audience composition, the learning formats (use of app technology, program notes, or not), and the science concepts. The tablet application technology, under continued development by Octava, presents unobtrusive program notes that act as a concert companion in real time as a concert proceeds. The mixed methods research methodology will produce quantitative and qualitative data using pre- and post-test instruments and focus group interviews. A follow-up questionnaire will be sent to participants six weeks after the performances to ascertain whether what was learned was retained over a period of time. Dissemination of project findings will be to professionals in science, science education and music fields.
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TEAM MEMBERS:
Jessica AbelLinda BakerTonya RoblesCarol Bogash
Roots of Wisdom (also known as Generations of Knowledge; NSF-DRL #1010559) is a project funded by the National Science Foundation that aims to engage Native and non-Native youth (ages 11-14) and their families in Traditional Ecological Knowledge (TEK) and western science within culturally relevant contexts that present both worldviews as valuable, complementary ways of knowing, understanding, and caring for the natural world. The Oregon Museum of Science and Industry (OMSI) and its partner organizations, The Indigenous Education Institute (IEI), The National Museum of the American Indian (NMAI
Roots of Wisdom (also known as Generations of Knowledge) is a 5-year project funded by the National Science Foundation (NSF-DRL #1010559) in support of a cross-cultural reciprocal collaboration to develop a traveling exhibit, banner exhibit, and education resources that bring together Traditional Ecological Knowledge (TEK) and western science. The summative evaluation for public audience impacts was conducted by the Lifelong Learning Group (COSI, Columbus, OH), in collaboration with Native Pathways (Laguna, NM).
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