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.
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
This project will be conducted by a team of investigators from North Carolina State University. The principal investigator proposes to examine the characteristics, motivations, in and out-of-school experiences, informal science activities, and career trajectories of 1000 science hobbyists and "master hobbyists." Master hobbyists are individuals who have developed science expertise and spend considerable free time engaging in science as a leisure activity. Master science hobbyists are found across most areas of science (e.g. birdwatchers, amateur astronomers). This research will determine who these individuals are, their career pathways, how they engage in science activities and what motivates, sustains, and defines their science interests. One of the particular goals of this research is to develop new understandings of how science hobby interests develop for women and underserved minorities. In the proposed research investigators will use the results of interviews and surveys to identify contextual factors that influence the motivational processes that, in turn, influenced choices of careers and contribute to ongoing choices in hobby and citizen science activities. Of interest in this study is how citizen scientists who are also serious hobbyists differ from master science hobbyists. Research on citizen scientists has shown that this group is highly motivated by collective motives (such as a desire to help others and further science), whereas this may not be the case with the master science hobbyist. Two groups will be sampled: a) birdwatchers and b) amateur astronomers. This sampling model will allow investigators to contrast their findings by: 1) those who have selected a science career versus those that did not select a science career, 2) those who participate in citizen science activities and those that do not, and 3) those who are birdwatchers (greater mathematical components) and those who are amateur astronomers (lesser mathematical components). Additional coding and analyses will examine any differences in the evolution of bird watching and astronomy hobbies. The results of this research will be examined in light of existing motivational and sociocultural models of career selection. This research will document differences in the perceived motivational elements that influenced master science hobbyists/citizen scientists to choose a science career or not. The results can inform federal, state, and local policies for supporting youth and adults engaged in free choice learning. Results of this research will inform the design of intervention/recruitment programs and ISE outreach initiatives. Potential audiences include ISE institutions (e.g. museums and science centers), organizations with links to STEM (e.g. scouts, boys/girls clubs) and pre- and college initiatives that seek to influence career choices and life-long science interests. The proposed cross-disciplinary approach will promote new understandings of complex issues related to motivation, retention, career selection, leisure activities, engagement with formal and informal educational environments, gender and ethnicity, communities of practice and changes in interests over time. Members of the advisory board have expertise in assessment and measurement and will work closely with the project team to conduct a detailed examination of methodologies and analyses at all phases of the project.
NOVA Labs (pbs.org/nova/labs) is a free digital platform that engages teens and lifelong learners in activities and games that foster authentic scientific exploration. From building RNA molecules and designing renewable energy systems to tracking cloud movements and learning cybersecurity strategies, NOVA Labs participants can take part in real-world investigations by visualizing, analyzing, and playing with the same data that scientists use. Each Lab focuses on a different area of active research. But all of them illustrate key concepts with engaging and informative videos, and guide participants as they answer scientific questions or design solutions to current problems. Supporting pages on each Lab site explain the purpose and functions of the Lab, help teachers incorporate it into their classrooms, foster collaboration between users, and help users make connections to the broader world of STEM. Users are encouraged to explore potential career paths through “Meet the Scientists” profiles, and to obtain information about local and national STEM resources.
This project will be conducted by a team of investigators from North Carolina State University. The principal investigator proposes to examine the characteristics, motivations, in and out-of-school experiences, informal science activities, and career trajectories of 1000 science hobbyists and "master hobbyists." Master hobbyists are individuals who have developed science expertise and spend considerable free time engaging in science as a leisure activity. Master science hobbyists are found across most areas of science (e.g. birdwatchers, amateur astronomers). This research will determine who these individuals are, their career pathways, how they engage in science activities and what motivates, sustains, and defines their science interests. One of the particular goals of this research is to develop new understandings of how science hobby interests develop for women and underserved minorities. In the proposed research investigators will use the results of interviews and surveys to identify contextual factors that influence the motivational processes that, in turn, influenced choices of careers and contribute to ongoing choices in hobby and citizen science activities. Of interest in this study is how citizen scientists who are also serious hobbyists differ from master science hobbyists. Research on citizen scientists has shown that this group is highly motivated by collective motives (such as a desire to help others and further science), whereas this may not be the case with the master science hobbyist. Two groups will be sampled: a) birdwatchers and b) amateur astronomers. This sampling model will allow investigators to contrast their findings by: 1) those who have selected a science career versus those that did not select a science career, 2) those who participate in citizen science activities and those that do not, and 3) those who are birdwatchers (greater mathematical components) and those who are amateur astronomers (lesser mathematical components). Additional coding and analyses will examine any differences in the evolution of bird watching and astronomy hobbies. The results of this research will be examined in light of existing motivational and sociocultural models of career selection. This research will document differences in the perceived motivational elements that influenced master science hobbyists/citizen scientists to choose a science career or not. The results can inform federal, state, and local policies for supporting youth and adults engaged in free choice learning. Results of this research will inform the design of intervention/recruitment programs and ISE outreach initiatives. Potential audiences include ISE institutions (e.g. museums and science centers), organizations with links to STEM (e.g. scouts, boys/girls clubs) and pre- and college initiatives that seek to influence career choices and life-long science interests. The proposed cross-disciplinary approach will promote new understandings of complex issues related to motivation, retention, career selection, leisure activities, engagement with formal and informal educational environments, gender and ethnicity, communities of practice and changes in interests over time. Members of the advisory board have expertise in assessment and measurement and will work closely with the project team to conduct a detailed examination of methodologies and analyses at all phases of the project.