This INSPIRE award is partially funded by the Cyber-Human Systems Program in the Division of Information and Intelligent Systems in the Directorate for Computer Science and Engineering, the Gravitational Physics Program in the Division of Physics in the Directorate for Mathematical and Physical Sciences, and the Office of Integrative Activities.
This innovative project will develop a citizen science system to support the Advanced Laser Interferometer Gravitational wave Observatory (aLIGO), the most complicated experiment ever undertaken in gravitational physics. Before the end of this decade it will open up the window of gravitational wave observations on the Universe. However, the high detector sensitivity needed for astrophysical discoveries makes aLIGO very susceptible to noncosmic artifacts and noise that must be identified and separated from cosmic signals. Teaching computers to identify and morphologically classify these artifacts in detector data is exceedingly difficult. Human eyesight is a proven tool for classification, but the aLIGO data streams from approximately 30,000 sensors and monitors easily overwhelm a single human. This research will address these problems by coupling human classification with a machine learning model that learns from the citizen scientists and also guides how information is provided to participants. A novel feature of this system will be its reliance on volunteers to discover new glitch classes, not just use existing ones. The project includes research on the human-centered computing aspects of this sociocomputational system, and thus can inspire future citizen science projects that do not merely exploit the labor of volunteers but engage them as partners in scientific discovery. Therefore, the project will have substantial educational benefits for the volunteers, who will gain a good understanding on how science works, and will be a part of the excitement of opening up a new window on the universe.
This is an innovative, interdisciplinary collaboration between the existing LIGO, at the time it is being technically enhanced, and Zooniverse, which has fielded a workable crowdsourcing model, currently involving over a million people on 30 projects. The work will help aLIGO to quickly identify noise and artifacts in the science data stream, separating out legitimate astrophysical events, and allowing those events to be distributed to other observatories for more detailed source identification and study. This project will also build and evaluate an interface between machine learning and human learning that will itself be an advance on current methods. It can be depicted as a loop: (1) By sifting through enormous amounts of aLIGO data, the citizen scientists will produce a robust "gold standard" glitch dataset that can be used to seed and train machine learning algorithms that will aid in the identification task. (2) The machine learning protocols that select and classify glitch events will be developed to maximize the potential of the citizen scientists by organizing and passing the data to them in more effective ways. The project will experiment with the task design and workflow organization (leveraging previous Zooniverse experience) to build a system that takes advantage of the distinctive strengths of the machines (ability to process large amounts of data systematically) and the humans (ability to identify patterns and spot discrepancies), and then using the model to enable high quality aLIGO detector characterization and gravitational wave searches
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TEAM MEMBERS:
Vassiliki KalogeraAggelos KatsaggelosKevin CrowstonLaura TrouilleJoshua SmithShane LarsonLaura Whyte
People of color who live in low income, urban communities experience lower levels of educational attainment than whites and continue to be underrepresented in science at all educational and professional levels. It is widely accepted that this underrepresentation in science is related, not only to processes of historical exclusion and racism, but to how science is commonly taught and that investigating authentic, relevant science questions can improve engagement and learning of underrepresented students. Approaching science in these ways, however, requires new teaching practices, including ways of relating cross-culturally. In addition to inequity in science and broader educational outcomes, people of color from low income, urban communities experience high rates of certain health problems that can be directly or indirectly linked to mosquitoes. Recognizing that undertaking public health research and preventative outreach efforts in these communities is challenging, there is a critical need for an innovative approach that leverages local youth resources for epidemiological inquiry and education. Such an approach would motivate the pursuit of science among historically-excluded youth while, additionally, involving pre-service, in-service, and informal educators in joint participatory inquiry structured around opportunities to learn and practice authentic, ambitious science teaching and learning.
Our long-term goal is to interrupt the reproduction of educational and health disparities in a low-income, urban context and to support historically-excluded youth in their trajectories toward science. This will be accomplished through the overall objective of this project to promote authentic science, ambitious teaching, and an orientation to science pursuits among elementary students participating in a university-school-community partnership promise program, through inquiry focused on mosquitoes and human health. The following specific aims will be pursued in support of the objective:
1. Historically-excluded youth will develop authentic science knowledge, skills, and dispositions, as well as curiosity, interest, and positive identification with science, and motivation for continued science study by participating in a scientific community and engaging in the activities and discourses of the discipline. Teams of students and educators will engage in community-based participatory research aimed at assessing and responding to health and well-being issues that are linked to mosquitoes in urban, low-income communities. In addition, the study of mosquitoes will engage student curiosity and interest, enhance their positive identification with science, and motivate their continued study.
2. Informal and formal science educators will demonstrate competence in authentic and ambitious science teaching and model an affirming orientation toward cultural diversity in science. Pre-service, in-service, and informal educators will participate in courses and summer institutes where they will be exposed to ambitious teaching practices and gain proficiency, through reflective processes such as video study, in adapting traditional science curricula to authentic science goals that meet the needs of historically excluded youth.
3. Residents in the community will display more accurate understandings and transformed practices with respect to mosquitoes in the urban ecosystem in service of enhanced health and well-being. Residents will learn from an array of youth-produced, culturally responsive educational materials that will be part of an ongoing outreach and prevention campaign to raise community awareness of the interplay between humans and mosquitoes.
These outcomes are expected to have an important positive impact because they have potential for improving both immediate and long-term educational and health outcomes of youth and other residents in a low-income, urban community.
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TEAM MEMBERS:
Katherine Richardson BrunaLyric Colleen Bartholomay
San Francisco Health Investigators (SF HI), developed and led by the Science & Health Education Partnership at UC San Francisco, will use a community-based participatory research model to provide authentic research experiences for high school students, the majority from backgrounds underrepresented in the sciences.
SF HI will:
1) Develop a community of high school Student Researchers who will conduct research into health issues in their communities, study how adolescents respond to health messages, create new health messages informed by this research, and study the broader impacts of the materials they develop.
2) Partner with educational researchers to research the effects of SF HI on the high school student participants and the impact of the materials on the broader community.
3) Disseminate those materials shown to have the greatest impact nationally.
4) Publish results on the public understanding and awareness of health issues in peer-reviewed journals and other forums to inform and advance the field of public health.
The SF HI model is designed to leverage students’ cultural and technological knowledge and their social capital in the role of Student Researchers as they study the awareness, knowledge and attitudes about current health issues in their communities. It will have a broad range of impacts. Over the course of the project, 100 urban public high school students will be immersed in research projects that have the potential to directly benefit the health of their communities. These Student Researchers will design health messages informed by their social, cultural, and community knowledge and by their research results. They will collectively survey more than 8,500 community members – their peers, neighbors, and attendees at public gatherings to assess the effectiveness of these materials. Student-developed materials will be distributed broadly via the web, high school and college wellness centers, the NIH SEPA community, and other networks – thus these materials have the potential to reach over 1.5 million adolescents and young adults over the life of the project.
Our goal is to attempt the identification of Sevengill sharks (Notorynchus cepedianus) that may be returning to San Diego from year-to-year, using the pattern recognition algorithm provided in ‘Wildbook,’ a web-based application for wildlife data management, designed by Jason Holmberg. 'Wildbook' which has been successfully used to ID Whale Sharks (Rhincodon typus ) by their spotting patterns.
Sevengill sharks (Notorynchus cepedianus), are currently listed as Data deficient (DD) on the IUCN Red List: "This assessment is based on the information published in the 2005 shark status survey (Fowler et al. 2005).
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.