This is the second of a 2-part series about the changes that have taken place in how public libraries adapted to COVID-19. Part 1 focused on what libraries were doing prior to pandemic, the challenges that they faced due to COVID-19, and how they pivoted to a “new normal”. Part 2 focuses on innovations in programming and professional development that have helped to strengthen the library profession during the pandemic.
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.
Pacific Science Center will expand its Science, Technology, Engineering and Math—Out-of-School Time (STEM-OST) model to new venues in the Puget Sound region to improve science literacy and increase interest in STEM careers for youth. STEM-OST brings hands-on lessons and activities in physics, engineering, astronomy, mathematics, geology, and health to elementary and middle school children in underserved communities throughout the summer months. The center will modify lessons and activities to serve students in grades K-2, align the curriculum with the Next Generation Science Standards, and increase the number of Family Science Days and Family Science Workshops offered to enhance parent involvement in STEM learning. The program will employ a tiered mentoring approach with outreach educators, teens, and education volunteers to increase interest in STEM content and provide direct links between STEM and workforce preparedness.
The Museum of Science and Industry (MOSI), in collaboration with the Tampa Community Development Corporation (CDC), will create a youth STEAM (science, technology, engineering, arts, and mathematics) program designed by East Tampa neighborhood participants for the neighborhood. The STEAM program will be a first of its kind in the area and will bring a continuum of experiences in STEAM fields to underserved middle and high school students, as well as volunteer participants, who come from the East Tampa neighborhood. Initial programming topics for career exploration include astronomy/cosmology and space exploration, environmental sciences, engineering, robotics, crime scene forensics, and medical explorations. The project will expand the museum's ability to create a STEAM continuum, increase interest in STEAM careers, and to increase awareness of skills necessary to be successful in STEAM careers.
The National Science Festival Network project, also operating as the Science Festival Alliance, is designed to create a sustainable national network of science festivals that engages all facets of the general public in science learning. Science Festivals, clearly distinct from "science fairs", are community-wide activities engaging professional scientists and informal and K-12 educators targeting underrepresented segments of local communities historically underserved by formal or informal STEM educational activities. The initiative builds on previous work in other parts of the world (e.g. Europe, Australasia) and on recent efforts in the U.S. to create science festivals. The target audiences are families, children and youth ages 5-18, adults, professional scientists and educators in K-12 and informal science institutions, and underserved and underrepresented communities. Project partners include the MIT Museum in Cambridge, UC San Diego, UC San Francisco, and the Franklin Institute in Philadelphia. The deliverables include annual science festivals in these four cities supported by year-round related activities for K-12 and informal audiences, a partnership network, a web portal, and two national conferences. Ten science festivals will be convened in total over the 3 years of the project, each reaching 15,000 to 60,000 participants per year. STEM content includes earth and space science, oceanography, biological/biomedical science, bioinformatics, and computer, behavioral, aeronautical, nanotechnology, environmental, and nuclear science. An independent evaluator will systematically assess audience participation and perceptions, level/types of science interest stimulated in target groups, growth of partnering support at individual sites, and increasing interactions between ISE and formal K-12 education. A variety of qualitative and quantitative assessments will be designed and utilized. The project has the potential to transform public communication and understanding of science and increase the numbers of youth interested in pursuing science.
DATE:
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TEAM MEMBERS:
Loren ThompsonJeremy BabendureBen Wiehe
This poster was presented at the 2014 AISL PI Meeting. It describes the radio and stage storytelling programs undertaken by the Center for Chemical Evolution, a CCI jointly funded by NSF and NASA.