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
The Adler Planetarium, Johns Hopkins University, and Southern Illinois University-Edwardsville are investigating the potential of online citizen science projects to broaden the pool of volunteers who participate in analysis and investigation of digital data and to deepen volunteers' engagement in scientific inquiry. The Investigating Audience Engagement with Citizen Science project is administering surveys and conducting case studies to identify factors that lead volunteers to engage in the astronomy-focused Galaxy Zoo project and its Zooniverse extensions. The project is (1) identifying volunteers' motivations for joining and staying involved, (2) determining factors that influence volunteers' movement from lower to higher levels of involvement, and (3) designing features that influence volunteer involvement. The project's research findings will help informal science educators and scientists refine existing citizen science programs and develop new ones that maximize volunteer engagement, improve the user experience, and build a more scientifically literate public.
Since 2000, the UK government has funded surveys aimed at understanding the UK public's attitudes toward science, scientists, and science policy. Known as the Public Attitudes to Science series, these surveys and their predecessors have long been used in UK science communication policy, practice, and scholarship as a source of authoritative knowledge about science-related attitudes and behaviors. Given their importance and the significant public funding investment they represent, detailed academic scrutiny of the studies is needed. In this essay, we critically review the most recently
C-RISE will create a replicable, customizable model for supporting citizen engagement with scientific data and reasoning to increase community resiliency under conditions of sea level rise and storm surge. Working with NOAA partners, we will design, pilot, and deliver interactive digital learning experiences that use the best available NOAA data and tools to engage participants in the interdependence of humans and the environment, the cycles of observation and experiment that advance science knowledge, and predicted changes for sea level and storm frequency. These scientific concepts and principles will be brought to human scale through real-world planning challenges developed with our city and government partners in Portland and South Portland, Maine. Over the course of the project, thousands of citizens from nearby neighborhoods and middle school students from across Maine’s sixteen counties, will engage with scientific data and forecasts specific to Portland Harbor—Maine’s largest seaport and the second largest oil port on the east coast. Interactive learning experiences for both audiences will be delivered through GMRI’s Cohen Center for Interactive Learning—a state-of-the-art exhibit space—in the context of facilitated conversations designed to emphasize how scientific reasoning is an essential tool for addressing real and pressing community and environmental issues. The learning experiences will also be available through a public web portal, giving all area residents access to the data and forecasts. The C-RISE web portal will be available to other coastal communities with guidance for loading locally relevant NOAA data into the learning experience. An accompanying guide will support community leaders and educators to embed the interactive learning experiences effectively into community conversations around resiliency. This project is aligned with NOAA’s Education Strategic Plan 2015-2035 by forwarding environmental literacy and using emerging technologies.
Over three years beginning in January 2016, the Science Museum of Virginia will launch a new suite of public programming entitled “Learn, Prepare, Act – Resilient Citizens Make Resilient Communities.” This project will leverage federally funded investments at the Museum, including a NOAA-funded Science On a Sphere® platform, National Fish and Wildlife-funded Rainkeepers exhibition, and the Department of Energy-funded EcoLab, to develop public programming and digital media messaging to help the general public understand climate change and its impacts on Virginia’s communities and give them tools to become resilient to its effects. Home to both the delicate Chesapeake Bay ecosystem and a highly vulnerable national shoreline, Virginia is extremely susceptible to the effects of climate change and extreme weather events. It is vital that citizens across the Commonwealth understand and recognize the current and future impacts that climate variability will have on Virginia’s economy, natural environment, and human health so that they will be better prepared to respond. In collaboration with NOAA Chesapeake Bay Office, George Mason University’s Center for Climate Change Communication, Virginia Institute for Marine Science, Public Broadcasting Service/National Public Radio affiliates, and Resilient Virginia, the Museum will use data from the National Climatic Data Center and Virginia Coastal Geospatial and Educational Mapping System to develop and deliver new resiliency-themed programming. This will include presentations for Science On a Sphere® and large format digital Dome theaters, 36 audio and video digital media broadcast pieces, two lecture series, community preparedness events, and a Resiliency Checklist and Certification program. This project supports NOAA’s mission goals to advance environmental literacy and share its vast knowledge and data with others.
Purpose: This project will develop and test Happy Atoms, a physical modeling set and an interactive iPad app for use in high school chemistry classrooms. Happy Atoms is designed to facilitate student learning of atomic modeling, a difficult topic for chemistry high school students to master. Standard instructional practice in this area typically includes teachers using slides, static ball and stick models, or computer-simulation software to present diagrams on a whiteboard. However, these methods do not adequately depict atomic interactions effectively, thus obscuring complex knowledge and understanding of their formulas and characteristics.
Project Activities: During Phase I (completed in 2014), the team developed a prototype of a physical modeling set including a computerized ball and stick molecular models representing the first 17 elements on the periodic table and an iPad app that identifies and generates information about atoms. A pilot study at the end of Phase I tested the prototype with 187 high school students in 12 chemistry classes. Researchers found that the prototype functioned as intended. Results showed that 88% of students enjoyed using the prototype, and that 79% indicated that it helped learning. In Phase II, the team will develop additional models and will strengthen functionality for effective integration into instructional practice. After development is complete, a larger pilot study will assess the usability and feasibility, fidelity of implementation, and promise of Happy Atoms to improve learning. The study will include 30 grade 11 chemistry classrooms, with half randomly assigned to use Happy Atoms and half who will continue with business as usual procedures. Analyses will compare pre-and-post scores of student's chemistry learning, including atomic modeling.
Product: Happy Atoms will include a set of physical models paired with an iPad app to cover high school chemistry topics in atomic modeling. The modeling set will include individual plastic balls representing the elements of the periodic table. Students will use an iPad app to take a picture of models they create. Using computer-generated algorithms, the app will then identify the model and generate information about its physical and chemical properties and uses. The app will also inform students if a model that is created does not exist. Happy Atoms will replace or supplement lesson plans to enhance chemistry teaching. The app will include teacher resources suggesting how to incorporate games and activities to reinforce lesson plans and learning.
In the 1920s, John Dewey and Walter Lippmann both wrote important books examining whether the public was capable of playing a constructive role in policy, particularly when specialized knowledge was involved. This essay uses the Lippmann–Dewey debate to identify new challenges for science education and to explore the relationship between science education and science communication. It argues that science education can help foster democracy in ways that embody Habermas' ideal of the public sphere, but only if we as a field pay more attention to (1) the non-scientific frames and narratives that
National Science Foundation (NSF) awarded an Informal Science Education (ISE) grant, since renamed Advancing Informal STEM Learning (AISL) to a group of institutions led by two of the University of California, Davis’s centers: the Tahoe Environmental Research Center (TERC) and the W.M. Keck Center for Active Visualization in Earth Sciences (KeckCAVES). Additional partner institutions were the ECHO Lake Aquarium and Science Center (ECHO), Lawrence Hall of Science (LHS) at the University of California, Berkeley, and Audience Viewpoints Consulting (AVC). The summative evaluation study was
Since its completion in 1937, the Golden Gate Bridge has become one of the world’s most recognized landmarks as both an iconic public works accomplishment and a popular tourist destination. In 2008, the National Science Foundation (NSF) awarded a $3 million grant to the Golden Gate Bridge Highway & Transportation District to leverage this status in developing informal education resources to interpret the science, engineering and history of the bridge. Through this initiative the Golden Gate Bridge would become a model for other public works venues for providing informal science education and
As part of the Exploratorium’s Indoor Positioning System (IPS) project, we prototyped a crowd-sourced, location-tagged audio app, called Exploratorium Voices, or Open Conversation, that visitors could use on smartphones to listen to short comments from staff, experts and other visitors and to leave their own comments for others to hear. This app was developed with Roundware, an open-source framework that collects, stores, and delivers audio content, integrated with a Wi-Fi IPS that provided location data used to tag audio recordings and determine where a visitor was to play recordings left
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
Recruiting more research scientists from rural Appalachia is essential for reducing the critical public health disparities found in this region. As a designated medically underserved area, the people of Appalachia endure limited access to healthcare and accompanying public health education, and exhibit higher disease incidences and shorter lifespans than the conventional U.S. population (Pollard & Jacobsen, 2013). These health concerns, coupled with the fact that rural Appalachian adults are less likely to trust people from outside their communities, highlights the need for rural Appalachian youth to enter the biomedical, behavioral, and clinical research workforce. However, doing so requires not only the specific desire to pursue a science, technology, engineering, math, or medical science (STEMM) related degree, it also requires the more general desire to pursue post-secondary education at all. This is clearly not occurring in Tennessee’s rural Appalachian regions where nearly 75% of adults realize educational achievements only up to the high school level. Although a great deal of research and intervention has been done to increase students’ interest in STEMM disciplines, very little research has considered the unique barriers to higher education experienced by rural Appalachian youth. A critical gap in past interventions research is the failure to address these key pieces of the puzzle: combatting real and perceived barriers to higher education and STEMM pursuits in order to increase self-efficacy for, belief in the value of, and interest in pursuing an undergraduate degree. Such barriers are especially salient for rural Appalachian youth.
Our long-range goal is to increase the diversity of biomedical, clinical and behavioral research scientists by developing interventions that both reduce barriers to higher education and increase interest in pipeline STEMM majors among rural Appalachian high school students. Our objective in this application is to determine the extent to which a multifaceted intervention strategy combining interventions to address the barriers to and supports for higher education with interventions to increase interest in STEMM fields leads to increased intentions to pursue an undergraduate STEMM degree. Our hypothesis is that students who experience such interventions will show increases in important intrapersonal social-cognitive factors and in their intentions to pursue a postsecondary degree than students not exposed to such interventions. Based on the low numbers of students from this region who pursue post-secondary education and the research demonstrating the unique barriers faced by this and similar populations (Gibbons & Borders, 2010), we believe it is necessary to reduce perceived barriers to college-going in addition to helping students explore STEMM career options. In other words, it is not enough to simply offer immersive and hands-on research and exploratory career experiences to rural Appalachian youth; they need targeted interventions to help them understand college life, navigate financial planning for college, strategize ways to succeed in college, and interact with college-educated role models. Only this combination of general college-going and specific STEMM-field information can overcome the barriers faced by this population. Therefore, our specific aims are:
Specific Aim 1: Understand the role of barriers to and support for higher education in Appalachian high school students’ interest in pursuing STEMM-related undergraduate degrees. We will compare outcomes for students who participate in our interventions, designed to proactively reduce general college-going barriers while increasing support systems, to outcomes for students from closely matched schools who do not participate in these interventions to determine the extent to which such low-cost interventions, which can reach large numbers of students, are effective in increasing rural Appalachian youth’s intent to pursue STEMM-related undergraduate degrees.
Specific Aim 2: Develop sustainable interventions that decrease barriers to and increase support for higher education and that increase STEMM-related self-efficacy and interest. Throughout our project, we will integrate training for teachers and school counselors, nurture lasting community partnerships, and develop a website with comprehensive training modules to allow the schools to continue implementing the major features of the interventions long after funding ends.
This research is innovative because it is among the first to recognize the unique needs of this region by directly addressing barriers to and supports for higher education and integrating such barriers-focused interventions with more typical STEMM-focused interventions. Our model provides opportunities to assess college-going and STEMM-specific self-efficacy, outcome expectations, and barriers/supports, giving us a true understanding of how to best serve this group. Ultimately, this project will allow future researchers to understand the complex balance of services needed to increase the number of rural Appalachians entering the biomedical, behavioral, and clinical research science workforce.