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
Engaging Faith-based Communities in Citizen Science through Zooniverse was an 18-month pilot initiative funded by the Alfred P. Sloan Foundation. Any opinions, findings, or recommendations expressed are those of the authors and do not necessarily reflect the views of the Sloan Foundation. The goals of this initiative were to broaden participation in citizen science (aka people-powered research) among religious and interfaith communities by establishing pathways for them to engage with science using the online Zooniverse platform, and to build positive, long-term relationships with these
This poster was presented at the 2021 NSF AISL Awardee Meeting.
To engage youth in global challenges such as energy issues, students’ own community can serve as personally relevant venues for scientific inquiry. For example, after students learn about heat transfer in school, they can use this knowledge to inspect the energy efficiency of their own schools and public buildings in their neighborhood.
To bridge the gap between school science and citizen science, students need scientific instruments that can be used both in and out of school and a community to share their discoveries.
Informal learning environments offer a range of educational observations. Lately, many venues have adopted livestreaming and digital archiving, both as additional access for a wider offsite audience and as alternative ways to engage the onsite audience. Students can observe animals and plants from a different continent through a live camera feed, or they can watch an online recording of a science experiment even if they missed the live demonstration. However, livestreamed or archived observations remain a mostly passive experience, offering limited interactions beyond watching the videos. One way to create more active learning opportunities from these observations is to use sensors such as thermal cameras as additional streaming devices, which transmit real-time images and data that not only reveal more about what is being observed, but also allow the audience to ask deeper questions, find answers by interacting with the data, apply science knowledge in a relevant context, and become an active participant in scientific inquiry.
This project has created Telelab, a cloud platform for livestreaming and archiving interactive observations to promote citizen science. Powered by the Internet of things (IoT), Telelab allows informal science educators to present exhibits, living organisms or ecosystems through the use of sensors and actuators. Audiences both onsite and offsite can visualize biological processes in situ, such as thermoregulation, thermogenesis, metabolism, etc., or they can investigate physics and chemistry experiments by analyzing experimental data in combination with the video stream.
This work is funded by The Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to and evidence-based understanding of the design and development of STEM learning opportunities for the public in informal environments; provide multiple pathways for broadening access to and engagement in STEM learning experiences; advance innovative research on and assessment of STEM learning in informal environments; and engage the public of all ages in learning STEM in informal environments.
Refugee youth are particularly vulnerable to STEM disenfranchisement due to factors including limited or interrupted schooling following displacement; restricted exposure to STEM education; and linguistic, cultural, ethnic, socioeconomic, and racial minority status. Refugee youth may experience a gap in STEM skills and knowledge, and a conflict between the identities necessary for participation in their families and communities, and those expected for success in STEM settings. To conduct research to better understand these challenges, an interrelated set of activities will be developed. First, youth will learn principles of physics and computing by participating in cosmic ray research with physicists using an instructional approach that builds from their home languages and cultures. Then youth periodically share what they are learning in the cosmic ray research with their parents, siblings, and science teachers at family and community science events. Finally, youth conduct reflective research on their own STEM identity development over the course of the project. Research on learning will be conducted within and across these three strands to better understand how refugee youth develop STEM-positive identities. This project will benefit society by improving equity and diversity in STEM through (1) creating opportunities for refugee youth to participate in physics research and to develop computing skills and (2) producing knowledge on STEM identity development that may be applied more broadly to improve STEM education. Deliverables from this project include: (a) research publications on STEM identity and learning; (b) curriculum resources for teaching physics and computing to multilingual youth; (c) an online digital storytelling exhibit offering narratives about belonging in STEM research which can be shared with STEM stakeholders (policy makers, scientists, educators, etc.); and (d) an online database of cosmic ray data which will be available to physicists worldwide for research purposes. This Innovations in Development proposal is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This program is designed to provide multiple contexts, relationships, and modes across and within which the identity work of individual students can be studied to look for convergence or divergence. To achieve this goal, the research applies a linguistic anthropological framework embedding discourse analysis in a larger ethnography. Data collected in this study include field notes, audio and video recordings of naturalistic interactions in the cosmic ray research and other program activities, multimodal artifacts (e.g., students' digital stories), student work products, interviews, and surveys. Critically, this methodology combines the analysis of identity formation as it unfolds in moment-to-moment conversations (during STEM learning, and in conversations about STEM and STEM learning) with reflective tasks and the production of personal narratives (e.g., in digital stories and interviews). Documenting convergence and divergence of STEM identities across these sources of data offers both methodological and theoretical contributions to the field. The research will offer thick description of the discursive practices of refugee youth to reveal how they construct identities related to STEM and STEM disciplines across settings (e.g., during cosmic ray research, while creating digital stories), relationships (e.g., peer, parent, teacher), and the languages they speak (e.g., English, Swahili). The findings will be of potential value to instructional designers of informal learning experiences including those working with afterschool, museums, science centers and the like, educators, and scholars of learning and identity.
This Innovations in Development award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
DATE:
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TEAM MEMBERS:
Tino NyaweloJohn MatthewsJordan GertonSarah Braden
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.
Public Participation in Scientific Research (PPSR), often referred to as crowdsourcing or citizen science, engages participants in authentic research, which both advances science discovery as well as increases the potential for participants' understanding and use of science in their lives and careers. This four year research project examines youth participation in PPSR projects that are facilitated by Natural History Museums (NHMs). NHMs, like PPSR, have a dual focus on scientific research and science, technology, engineering, and mathematics (STEM) education. The NHMs in this project have established in-person and online PPSR programs and have close ties with local urban community-based organizations. Together, these traits make NHMs appropriate informal learning settings to study how young people participate in PPSR and what they learn. This study focuses on three types of PPSR experiences: short-term outdoor events like bioblitzes, long-term outdoor environmental monitoring projects, and online PPSR projects such as crowdsourcing the ID of field observations. The findings of this study will be shared through PPSR networks as well as throughout the field in informal STEM learning in order to strength youth programming in STEM, such that youth are empowered to engage in STEM research and activities in their communities. This project is funded through Science Learning+, which is an international partnership between the National Science Foundation (NSF) and the Wellcome Trust with the UK Economic and Social Research Council. The goal of this joint funding effort is to make transformational steps toward improving the knowledge base and practices of informal STEM experiences. Within NSF, Science Learning+ is part of the Advancing Informal STEM Learning (AISL) program that seeks to enhance learning in informal environments and to broaden access to and engagement in STEM learning experiences.
The study employs observations, surveys, interviews, and learning analytics to explore three overarching questions about youth learning: 1) What is the nature of the learning environments and what activities do youth engage in when participating in NHM-led PPSR? 2) To what extent do youth develop three science learning outcomes, through participation in NHM-led citizen science programs? The three are: a) An understanding of the science content, b) identification of roles for themselves in the practice of science, and c) a sense of agency for taking actions using science? 3) What program features and settings in NHM-led PPSR foster these three science learning outcomes among youth? Based on studies occurring at multiple NHMs in the US and the UK, the broader impact of this study includes providing research-based recommendations for NHM practitioners that will help make PPSR projects and learning science more accessible and productive for youth. This project is collaboration between education researchers at University of California, Davis and Open University (UK), and Oxford University (UK) and citizen science practitioners, educators, and environmental scientists at three NHMs in the US and UK: NHM London, California Academy of Sciences, and NHM Los Angeles.
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.