This project's goals are to:
Enable participants to contribute to any or all stages of the scientific process and enhance their learning using an online citizen science platform and live bird cams.
Generate new scientific knowledge about wildlife.
Advance the understanding of effective project design for co-created online citizen-science projects at a national scale.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
PocketMacro is a mobile app designed by The Human-Computer Interaction Institute at Carnegie Mellon University to help users better identify benthic macroinvertebrates commonly found in streams and other waterways. In Summer 2021, the app and other supplemental materials were highlighted during trainings for educators held at the Stroud Water Research Center.
The evaluation team from Rockman et al Cooperative (REA) surveyed and interviewed educators who participated in the summer trainings to determine what they took away from the experience and to gather feedback about the PocketMacro app
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Project Harvest is a co-created citizen science project that investigates the quality of household environments in Arizona communities neighboring active or legacy mining and/or toxic release. Project Harvest is a response to the community-driven questions, “Are there pollutants in harvested rainwater? Can I use the harvested rainwater for my garden?"
The RASOR project is designed to increase engagement of students from rural Alaska communities in biomedical/STEM careers. Rural Alaskan communities are home to students of intersecting identities underrepresented in biomedical science, including Alaska Native, low-income, first generation college, and rural. Geographic isolation defines these communities and can limit the exposure of students to scientifically-minded peers, professional role models, and science career pathways. However these students also have a particularly strong environmental connection through subsistence and recreational activities, which makes the one-health approach to bio-medicine an intuitive and effective route for introducing scientific research and STEM content. In RASOR, we will implement place-based mentored research projects with students in rural Alaskan communities at the high school level, when most students are beginning to seriously consider career paths. The biomedical one-health approach will build connections between student experiences of village life in rural Alaska and biomedical research. Engaging undergraduate students in research has proved one of the most successful means of increasing the persistence of minority students in science (Kuh 2008). Furthermore, RASOR will integrate high school students into community-based participatory research (Israel et al. 2005). This approach is designed to demonstrate the practicality of scientific research, that science has the ability to support community and cultural priorities and to provide career pathways for individual community members. The one-health approach will provide continuity with BLaST, an NIH-funded BUILD program that provides undergraduate biomedical students with guidance and support. RASOR will work closely with BLaST, implementing among younger (pre-BLaST) students approaches that have been successful for retaining rural Alaska students along STEM pathways and tracking of post-RASOR students. Alaska Native and rural Alaska students are a unique and diverse population underrepresented in biomedical science and STEM fields.
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.
A frequently missing element in environmental education programs is a concerted effort by communities, organizations, government, and academic stakeholders to build meaningful partnerships and cultivate informal science learning opportunities via public participation in environmental research. This collaborative approach not only makes scientific information more readily available, it also engages community members in the processes of scientific inquiry, synthesis, data interpretation, and the translation of results into action. This project will build a co-created citizen science program coupled with a peer education model and an extensive communication of results to increase environmental STEM literacy. The project targets historically underrepresented populations that are likely to be disproportionately impacted by climate, water scarcity, and food security. Based upon past needs assessments in the targeted communities, gardens irrigated by harvested rainwater will become hubs for environmental STEM education and research. For this project, gardens irrigated by harvested rainwater will serve as hubs for environmental literacy education efforts. Researchers from the University of Arizona and Sonora Environmental Research Institute will work alongside community environmental health workers, who will then train families residing in environmentally compromised areas (urban and rural) on how to monitor their soil, plant, and harvested water quality. The project aims to: (1) co-produce environmental monitoring, exposure, and risk data in a form that will be directly relevant to the participants' lives, (2) increase the community's involvement in environmental decision-making, and (3) improve environmental STEM literacy and learning in underserved rural and urban communities. The project will investigate and gather extensive quantitative and quantitative data to understand how: (1) participation in a co-created citizen science project enhances a participant's overall environmental STEM literacy; (2) a peer-education model coupled with a co-created citizen science program affects participation of historically underrepresented groups in citizen science; and (3) the environmental monitoring approach influences the participant's environmental health learning outcomes and understanding of the scientific method. In parallel, this project will evaluate the role of local-based knowledge mediators and different mechanisms to communicate results. These findings will advance the fields of informal science education, environmental science, and risk communication. Concomitantly, the project will facilitate the co-generation of a robust dataset that will not only inform guidelines and recommendations for harvested rainwater use, it will build capacity in underserved communities and inform the safe and sustainable production of food sources. This research effort is especially critical for populations in arid and semiarid environments, which account for ~40% of the global land area and are inhabited by one-third of the world's population. This program will be available in English and Spanish and can truly democratize environmental STEM research and policy. This project is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understandings of, the design and development of STEM learning in informal environments.
This project will research factors influencing the implementation of programs designed to increase diverse participation in informal science. The goal is to provide the informal science education field with information and tools that will help them design effective programs that more effectively engage a broad range of diverse audiences. The project has two major components. First, the project will research the implementation of a citizen science project, Celebrate Urban Birds (CUB), in major U.S. cities. Citizen science projects involve public volunteers in gathering scientifically valid data as part of ongoing research. Second, building on results of the research, the project will launch a website and learning community (called a Community of Practice or CoP) supporting informal science educators that are involved in designing and implementing informal science programs with an emphasis on engaging diverse participants. The project will be lead by the Cornell Lab of Ornithology (CLO), a leader in designing and researching citizen science projects, in collaboration with the Association of Science-Technology Centers (ASTC) and five science center members of ASTC, where the CUB program will be implemented and researched. The objective of the research is to better understand contextual factors and how they impact implementation even when accepted practices are followed. Such research is key not only to revealing accepted practices but also to understanding how projects are implemented in the face of concrete operational, cultural, economic, and demographic variables. The research will use a comparative case study approach, which is designed for studies requiring holistic, in-depth investigation. The development of the website and the CoP will be guided by a Network Improvement Strategy, a research-based approach to designing educational CoPs. The development of the CoP will involve the project stakeholders including the informal science organization practitioners, community organization representatives, CUB staff, ASTC staff, advisors and consultants. This strategy will allow the project team and pilot sites to leverage their diverse experiences and skill sets to improve practice; provide space for researchers and practitioners to work together as partners; and develop a nuanced set of strategies that can be implemented across a variety of organizational contexts.