RISES (Re-energize and Invigorate Student Engagement through Science) is a coordinated suite of resources including 42 interactive English and Spanish STEM videos produced by Children's Museum Houston in coordination with the science curriculum department at Houston ISD. The videos are aligned to the Texas Essential Knowledge and Skills standards, and each come with a bilingual Activity Guide and Parent Prompt sheet, which includes guiding questions and other extension activities.
Reflecting on the practice of storytelling, this practice insight explores how collaborations between scholars and practitioners can improve storytelling for science communication outcomes with publics. The case studies presented demonstrate the benefits of collaborative storytelling for inspiring publics, promoting understanding of science, and engaging publics more deliberatively in science. The projects show how collaboration between scholars and practitioners [in storytelling] can happen across a continuum of scholarship from evaluation and action research to more critical thinking
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TEAM MEMBERS:
Michelle RiedlingerJenni MetcalfeAyelet Baram-TsabariMarta EntradasMarina JoubertLuisa Massarani
A team of experts from five institutions (University of Minnesota, Adler Planetarium, University of Wyoming, Colorado State University, and UC San Diego) links field-based and online analysis capabilities to support citizen science, focusing on three research areas (cell biology, ecology, and astronomy). The project builds on Zooniverse and CitSci.org, leverages the NSF Science Gateways Community Institute, and enhances the quality of citizen science and the experience of its participants.
This project creates an integrated Citizen Science Cyberinfrastructure (CSCI) framework that expands the capacity of research communities across several disciplines to use citizen science as a suitable and sustainable research methodology. CSCI produces three improvements to the infrastructure for citizen science already provided by Zooniverse and CitSci.org:
Combining Modes - connecting the process of data collection and analysis;
Smart Assignment - improving the assignment of tasks during analysis; and
New Data Models - exploring the Data-as-Subject model. By treating time series data as data, this model removes the need to create images for classification and facilitates more complex workflows. These improvements are motivated and investigated through three distinct scientific cases:
Biomedicine (3D Morphology of Cell Nucleus). Currently, Zooniverse 'Etch-a-Cell' volunteers provide annotations of cellular components in images from high-resolution microscopy, where a single cell provides a stack containing thousands of sliced images. The Smart Task Assignment capability incorporates this information, so volunteers are not shown each image in a stack where machines or other volunteers have already evaluated some subset of data.
Ecology (Identifying Individual Animals). When monitoring wide-ranging wildlife populations, identification of individual animals is needed for robust estimates of population sizes and trends. This use case combines field collection and data analysis with deep learning to improve results.
Astronomy (Characterizing Lightcurves). Astronomical time series data reveal a variety of behaviors, such as stellar flares or planetary transits. The existing Zooniverse data model requires classification of individual images before aggregation of results and transformation back to refer to the original data. By using the Data-as-Subject model and the Smart Task Assignment capability, volunteers will be able to scan through the entire time series in a machine-aided manner to determine specific light curve characteristics.
The team explores the use of recurrent neural networks (RNNs) to determine automated learning architectures best suited to the projects. Of particular interest is how the degree to which neighboring subjects are coupled affects performance. The integration of existing tools, which is based on application programming interfaces (APIs), also facilitates further tool integration. The effort creates a citizen science framework that directly advances knowledge for three science use cases in biomedicine, ecology, and astronomy, and combines field-collected data with data analysis. This has the ability to solve key problems in the individual applications, as well as benefiting the research of the dozens of projects on the Zooniverse platform. It provides benefits to researchers using citizen scientists, and to the nearly 1.6 million citizen scientists themselves.
This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Research on Learning in Formal and Informal Settings, within the NSF Directorate for Education and Human Resources.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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
This poster was presented at the 2016 Advancing Informal STEM Learning (AISL) PI Meeting held in Bethesda, MD on February 29-March 2. The third season of the national PBS series, SciGirls, is the first national children’s television series and website designed to engage and educate millions of children about citizen science. In each half-hour episode, a female mentor guides a group of ethnically diverse middle school girls as they learn about citizen science protocols and collect and share data for an established citizen science project. In addition to the videos, the SciGirls website presents
MIT Education Arcade, in partnership with the Smithsonian Institution, designed and developed Vanished, an eight-week environmental science game as a new genre called the curated game, a hybrid of museum-going, social networking, and online gaming. Middle school aged participants engaged in Earth systems science to study a range of environmental issues associated with mass extinction. Though the game was structured around a fictional scenario--communication with visitors from the future--it posited a future affected by current environmental issues and conditions, and encouraged participants to apply systems thinking as a means to understand how these current conditions led to environmental disruptions. As part of the game play participants studied, applied, and integrated knowledge and skills from multiple sources, including Earth science, ecology, astronomy, and archaeology, and forensic anthropology. An Advisory Board and contributing scientists were be involved. The project team is currently analyzing data collected from the game to test the hypothesis that the game play would allow youth, ages 11-14, to increase their understanding of the scientific process and increase their motivation to learn more science. This summative evaluation is being conducted by TERC Inc. A Curated Game Handbook will be produced to disseminate project results as a model for new applications of game-based learning. Open source software created as part of the game has been made available, and should enable future developers in informal science education to build directly upon these foundational efforts.
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TEAM MEMBERS:
Eric KlopferConrad LabandeiraScot OsterweilStephanie Norby
KCTS, the public broadcasting station in Seattle, WA, is producing and distributing15 new half-hour episodes for the children's television series, Bill Nye the Science Guy. Topics being considered for these programs include: Caves Jungles Animal Behavior Entropy Home Demo Lakes and Ponds Felines Convection Smell and Taste Life Cycles Minerals Adhesives Atoms and Molecules Organs Comets, Asteroids, and Meteors The project also will include outreach to viewers, teachers, and parents by providing the following materials: A teachers kit to be distributed to 150,000 fourth-grade teachers nationwide Fifty thousand free copies of a printed parents' guide and 15-minuted video distributed through an off-air off and community partner groups Meet a Way Cool Scientist national print contest in which children will be invited to write and illustrate a profile of a scientist in their community Nye Labs Online, a Web site with series information, science topics, hands-on experiments, and an e-mail connection to Bill Nye and the production team Conference Presentations and workshops about the project's approach to science education for PBS stations, teacher groups, and the three partnering organizations, Girls Incorporated, the National Urban League, and the National Conference of La Raza Rockman Et Al will conduct a summative evaluation to extend the understanding of the show's impact on children's attitudes toward and understanding of science. It also will examine the size and composition of the in-school audience, and will assess the use and value of the outreach materials.
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TEAM MEMBERS:
Elizabeth BrockJames McKennaErren GottliebWilliam Nye