In 2015, Fairchild Tropical Botanic Garden (Fairchild), located in Miami-Dade County, Florida, entered into partnership with NASA’s Kennedy Space Center (KSC) to help advance NASA’s plant research through classroom-based STEM citizen science with a project entitled, Growing Beyond Earth (GBE). The project, initially launched with 3,600 students at 97 middle and high schools primarily in Miami-Dade County, has expanded to include 10,639 students at 210 schools in 26 states and Puerto Rico. GBE is designed to:
a) Increase middle and high school students’ interest and skills in science by
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TEAM MEMBERS:
Catherine RaymondMarion LitzingerYang WenAmy PadolfCarl Lewis
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.
During the school year of 2017-2018, Fairchild Tropical Botanic Garden (Fairchild) implemented the second year of a four-year project entitled: Growing Beyond Earth (GBE). NASA is providing funding support for project implementation as well as an external project evaluation. The evaluation activities conducted this year were focused on understanding project implementation and assessing project outcomes using data collected between September 2017 and May 2018. This report’s findings and accompanying recommendations inform next year’s project implementation and evaluation activities.
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TEAM MEMBERS:
Catherine RaymondMarion LitzingerCarl LewisAmy Padolf
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.
During the school year of 2016-2017, Fairchild Tropical Botanic Garden (Fairchild) implemented the first year of a four-year project entitled: Growing Beyond Earth (GBE). NASA is providing funding support for project implementation as well as an external project evaluation.
The evaluation activities conducted this year were focused on understanding project implementation and exploring project outcomes using data collected between September 2016 and May 2017. This report’s findings and accompanying recommendations inform next year’s project implementation and evaluation activities.
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TEAM MEMBERS:
Catherine RaymondAmy RubinsonCarl LewisMarion LitzingerAmy Padolf
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
From contributions of astronomy data and DNA sequences to disease treatment research, scientific activity by non-scientists is a real and emergent phenomenon, and raising policy questions. This involvement in science can be understood as an issue of access to publications, code, and data that facilitates public engagement in the research process, thus appropriate policy to support the associated welfare enhancing benefits is essential. Current legal barriers to citizen participation can be alleviated by scientists’ use of the “Reproducible Research Standard,” thus making the literature, data
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