The Council for Opportunity in Education, in collaboration with TERC, seeks to advance the understanding of social and cultural factors that increase retention of women of color in computing; and implement and evaluate a mentoring and networking intervention for undergraduate women of color based on the project's research findings. Computing is unique because it ranks as one of the STEM fields that are least populated by women of color, and because while representation of women of color is increasing in nearly every other STEM field, it is currently decreasing in computing - even as national job prospects in technology fields increase. The project staff will conduct an extensive study of programs that have successfully served women of color in the computing fields and will conduct formal interviews with 15 professional women of color who have thrived in computing to learn about their educational strategies. Based on those findings, the project staff will develop and assess a small-scale intervention that will be modeled on the practices of mentoring and networking which have been established as effective among women of color who are students of STEM disciplines. By partnering with Broadening Participation in Computing Alliances and local and national organizations dedicated to diversifying computing, project staff will identify both women of color undergraduates to participate in the intervention and professionals who can serve as mentors to the undergraduates in the intervention phase of the project. Assisting the researchers will be a distinguished Advisory Board that provides expertise in broadening the representation of women of color in STEM education. The external evaluator will provide formative and summative assessments of the project's case study data and narratives data using methods of study analysis and narrative inquiry and will lead the formative and summative evaluation of the intervention using a mixed methods approach. The intervention evaluation will focus on three variables: 1) students' attitudes toward computer science, 2) their persistence in computer science and 3) their participant attitudes toward, and experiences in, the intervention.
This project extends the PIs' previous NSF-funded work on factors that impact the success of women of color in STEM. The project will contribute an improved understanding of the complex challenges that women of color encounter in computing. It will also illuminate individual and programmatic strategies that enable them to participate more fully and in greater numbers. The ultimate broader impact of the project should be a proven, scalable model for reversing the downward trend in the rates at which women of color earn bachelor's degrees in computer science.
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TEAM MEMBERS:
Apriel HodariMaria Ong
resourceprojectProfessional Development, Conferences, and Networks
The Center for Integrated Quantum Materials pursues research and education in quantum science and technology. With our research and industry partners, the Museum of Science, Boston collaborates to produce public engagement resources, museum programs, special events and media. We also provide professional development in professional science communication for the Center's students, post-docs, and interns; and coaching in public engagement. The Museum also sponsors The Quantum Matters(TM) Science Communication Competition (www.mos.org/quantum-matters-competition) and NanoDays with a Quantum Leap. In association with CIQM and IBM Q, the Museum hosted the first U.S. museum exhibit on quantum computing.
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TEAM MEMBERS:
Robert WesterveltCarol Lynn AlpertRay AshooriTina Brower-Thomas
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
For decades, particle physicists have been using open access archives of preprints, i.e. research papers shared before the submission to peer reviewed journals. With the shift to digital archives, this model has proved to be attractive to other disciplines: but can it be exported? In particle physics, archives do not only represent the medium of choice for the circulation of scientific knowledge, but they are central places to build a sense of belonging and to define one's role within the community.
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TEAM MEMBERS:
Alessandro Delfanti
resourceprojectProfessional Development, Conferences, and Networks
The Cyberlearning Resource Center (CRC) has responsibility for promoting integrative collaboration among cyberlearning grantees (across NSF programs); synthesis and national dissemination of cyberlearning findings, technologies, models, materials, and best practices; creating a national presence for Cyberlearning; helping the disparate Cyberlearning research and development communities coordinate efforts to build capacity; and providing infrastructure (technological and social) for supporting these efforts. Monitored through the Cyberlearning: Transforming Education program, the CRC serves as a resource for all NSF grantees and programs with cyberlearning components, helping to promote synergy and integrate projects across NSF's cyberlearning investments. Among society's central challenges are amplifying, expanding, and transforming opportunities people have for learning and more effectively drawing in, motivating, and engaging young learners. Engaging actively as a citizen and productively in the workforce requires understanding a broad variety of concepts and possessing the ability to collaborate, learn, solve problems, and make decisions. Whether learning is facilitated in school or out of school, and whether learners are youngsters or adults, to develop such knowledge and capabilities, learners must be motivated to learn, actively engage over the long term in learning activities, and put forth sustained cognitive and social effort. Consistent with NSF's mission and strategic plan, a variety of programs at NSF invest in research aimed towards achieving these goals. In support of this important thematic thrust, the Cyberlearning Resource Center works with researchers and NSF program officers to identify and disseminate findings from across programs and projects; develop ways to broker productive partnerships and collaborations; convene meetings for purposes of envisioning the future, integrating findings, and building capacity,; and monitor the cyberlearning portfolio and its influences and impacts.
Discovering and understanding the temporal evolution of events hidden in text corpora is a complex yet critical task for knowledge discovery. Although mining event dynamics has been an important research topic leading to many successful algorithms, researchers, research and development managers, intelligence analysts and the general public are still in dire need of effective tools to explore the evolutionary trends and patterns. This exploratory project focuses on developing and validating a novel idea called narrative animation. Narrative animation uses animated visualizations to narrate, explore, and share event dynamics conveyed in temporally evolving text collections. Film art techniques are employed to leverage the animated visualizations in information organization and change detection, with the goals of enhancing analytical power and user engagement. A prototype system called CityStories is being developed to generate narrative animations of events in cities derived from web-based text. If this novel, risky research is successful, it is expected to yield fundamental results in narrative animation that can advance the current paradigm in information visualization and visual analytics by developing novel techniques in using animations for presenting and analyzing dynamic abstract data at a large scale. The pilot system CityStories system is expected provide a novel network platform for education, entertainment, and data analytics. It will engage general users such as students, teachers, journalists, bloggers, and many others in web information visualization and study. Results of this research will be disseminated through publications, the World Wide Web, and collaborations with researchers and analysts. The project web site (http://coitweb.uncc.edu/~jyang13/narrativeanimation/narrativeanimation.htm) will include research outcomes, publications, developed software, videos, and datasets for wide dissemination to public.
Bridging Earth and Mars (BEAM): Engineering Robots to Explore the Red Planet engages the general public and K-8 students in exhibits and programs designed to foster awareness of robotic technology, computer programming, and the challenges and opportunities inherent in NASA missions and S-STEM careers. The Saint Louis Science Center (SLSC) of St. Louis, Missouri is the lead institution and project site; partners include Washington University in St. Louis, Saint Louis University, the St. Louis regional FIRST Robotics organization, and the Challenger Learning Center-St. Louis. Project goals are to: 1) inform, engage, and inspire the public to appreciate NASA’s Mission by sharing findings and information about NASA’s missions to Mars; 2) ignite interest in S-STEM topics and careers for diverse K-8 students; and, 3) encourage students in grades 6-8 to sustain participation in educational experiences along the S-STEM careers pipeline. The SLSC will design and build a Martian surface and panorama where two rovers can be remotely controlled. Visitors in the McDonnell Planetarium will use controllers to program rover exploration of the Martian landscape in real-time. Visitors in SLSC’s Cyberville gallery, located one-quarter mile away across a highway-spanning enclosed bridge, will program the second rover with simulated time lag and view its movements via a two-way camera system. SLSC will organize and host a series of Innovation Workshops for K-8 students, each featuring teamwork-building engineering challenges from current and updated NASA-based science curricula. Participants will be recruited from SLSC community partners, which include community centers and faith-based programs for underserved families.
This award is funded under NSF's Science, Engineering, and Education for Sustainability (SEES) activities, which aim to address the challenges of creating a sustainable world. Research Coordination Network (RCN) CE3SAR (Climate, Energy, Environment, and Engagement in Semiarid Regions) is a comprehensive partnership of researchers at South Texas regional institutions and major research universities elsewhere advancing knowledge of science, engineering and education for sustainability (SEES). The network will develop and test an innovative model for conducting interdisciplinary, region-specific, sustainability research closely tied to the needs and interests of highly-engaged local stakeholders. RCN CE3SAR will aggregate regional research capacities specific to sustainability in semiarid climates contiguous to the Gulf of Mexico while leveraging research expertise infused from outside the region. Geographic information science (GIS) will play a key role in the process of integrating layers of scientific data, producing scientific insight and presenting new ideas, new research directions and new scientific knowledge to regional stakeholders as well as the scientific community. The network will align regional capacities that heretofore were largely disconnected and bring focus and synergy to a range of research that will profoundly impact the region and its socioeconomic future. The network will engage and educate regional communities, government and private-sector stakeholders throughout the process.
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TEAM MEMBERS:
Luis CifuentesJorge VanegasGary JeffressRudolph RosenWesley Patrick
Research shows that participation and interest in science starts to drop as youth enter high school. This is also the point when science becomes more complex and there is increased need for content knowledge, mathematics capability, and computer or computational knowledge. Evidence suggests that youth who participate in original scientific research are more likely to enter and maintain a career in science as compared to students who do not have these experiences. We know young people get excited by space science. This project (STEM-ID) is informed by previous work in which high school students were introduced to scientific research and contributed to the search for pulsars. Students were able to develop the required science and math knowledge and computer skills that enabled them to successfully participate. STEM-ID builds on this previous work with two primary goals: the replication of the local program into a distributed program model and an investigation of the degree to which authentic research experiences build strong science identities and research self-efficacies. More specifically the project will support (a) significant geographic expansion to institutions situated in communities with diverse populations allowing substantial inclusion of under-served groups, (b) an online learning and discovery environment that will support the participation of youth throughout the country via online activities, and (c) opportunities for deeper participation in research and advancement within the research community. This project is funded by the Advancing Informal STEM Learning (AISL) program which seeks to advance new approaches to, and understanding of, the design and development of STEM learning in informal environments. STEM-ID will serve 2000 high school youth and 200 high school teachers in afterschool clubs with support from 30 undergraduate and graduate students and 10 college/university faculty. Exploratory educational research will determine the broad mechanisms by which online activities and in-person and online peer-mentor teacher-scientist interactions influence science identity, self-efficacy, motivation, and career intentions, as well as a focused understanding of the mechanisms that influence patterns of participation. Youth will be monitored longitudinally through the first two years of college to provide an understanding of the long-term effects of out-of-class science enrichment programs on STEM career decisions. These studies will build an understanding of the best practices for enhancing STEM persistence in college through engagement in authentic STEM programs before youth get to college. In addition to the benefits of the education research, this program may lead participants to discover dozens of new pulsars. These pulsars will be used for fundamental advances such as for testing of general relativity, constraining neutron star masses, or detecting gravitational waves. The resulting survey will also be sensitive to transient signals such as sporadic pulsars and extragalactic bursts. This project provides a potential model for youth from geographical disparate places to participate in authentic research experiences. For providers, it will offer a model for program delivery with lower costs. Findings will support greater understanding of the mechanisms for participation in STEM. This work is being led by West Virginia University and the National Radio Astronomy Observatory. Participating sites include California Institute of Technology, Cornell University, El Paso Community College, Howard University, Montana State University, Penn State University, Texas Tech University, University of Vermont, University of Washington, and Vanderbilt University.
A recent report by the Association for Computing Machinery estimates that by decade's end, half of all STEM jobs in the United States will be in computing. Yet, the participation of women and underrepresented groups in post-secondary computer science programs remains discouragingly and persistently low. One of the most important findings from research in computer science education is the degree to which informal experiences with computers (at many ages and in many settings) shape young people's trajectories through high school and into undergraduate degree programs. Just as early language and mathematics literacy begins at home and is reinforced throughout childhood through a variety of experiences both in school and out, for reasons of diversity and competency, formal experiences with computational literacy alone are insufficient for developing the next generation of scientists, engineers, and citizens. Thus, this CAREER program of research seeks to contribute to a conceptual and design framework to rethink computational literacy in informal environments in an effort to engage a broad and diverse audience. It builds on the concept of cultural forms to understand existing computational literacy practices across a variety of learning settings and to contribute innovative technology designs. As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds new approaches to and evidence-based understanding of the design and development of STEM learning in these settings. This CAREER program of research seeks to understand the role of cultural forms in informal computational learning experiences and to develop a theoretically grounded approach for designing such experiences for youth. This work starts from the premise that new forms of computational literacy will be born from existing cultural forms of literacy and numeracy (i.e., for mathematical literacy there are forms like counting songs -- "10 little ducks went out to play"). Many of these forms play out in homes between parents and children, in schools between teachers and students, and in all sorts of other place between friends and siblings. This program of study is a three-phased design and development effort focused on key research questions that include understanding (1) how cultural forms can help shape audience experiences in informal learning environments; (2) how different cultural forms interact with youth's identity-related needs and motivations; and (3) how new types of computational literacy experiences based on these forms can be created. Each phase includes inductive research that attempts to understand computational literacy as it exists in the world and a design phase guided by concrete learning objectives that address specific aspects of computational literacy. Data collection strategies will include naturalist observation, semi-structured, and in-depth interviews, and learning assessments; outcome measures will center on voluntary engagement, motivation, and persistence around the learning experiences. The contexts for research and design will be museums, homes, and afterschool programs. This research builds on a decade of experience by the PI in designing and studying computational literacy experiences across a range of learning settings including museums, homes, out-of-school programs, and classrooms. Engaging a broad and diverse audience in the future of STEM computing fields is an urgent priority of the US education system, both in schools and beyond. This project would complement substantial existing efforts to promote in-school computational literacy and, if successful, help bring about a more representative, computationally empowered citizenry. The integrated education plan supports the training and mentoring of graduate and undergraduate students in emerging research methods at the intersection of the learning sciences, computer science, and human-computer interaction. This work will also develop publically available learning experiences potentially impacting thousands of youth. These experiences will be available in museums, on the Web, and through App stores.
As a part of the strategy to reach the NASA Science Mission Directorate (SMD) Science Education and Public Outreach Forum Objective 1.2: Provide resources and opportunities to enable sharing of best practices relevant to SMD education and public outreach (E/PO), the Informal Education Working Group members designed a nationally-distributed online survey to answer the following questions: 1. How, when, where, and for how long do informal educators prefer to receive science, mathematics, engineering, and/or technology content professional development? 2. What are the professional development and
The objective of this project is to extend the concept of crowdsourcing in citizen science to the interaction design of the organization as well as to data collection. Distributed technologies offer new opportunities for conducting scientific research on a larger scale than ever before by enabling distributed collaboration. Virtual organizations that use distributed technologies in scientific organizations have primarily focused on how dedicated, professional scientists collaborate and communicate. More recently a rapidly increasing number of citizen science virtual organizations are being formed. Citizen scientists participate in scientific endeavors and typically lack formal credentials, do not hold professional positions in scientific institutions, and bring diversity of knowledge and expertise to projects and challenges. They participate in scientific endeavors related to their personal scientific interests and create new challenges for the design of virtual organizations. In terms of intellectual merit, the project will make three specific contributions: a new interaction design for collecting biodiversity data within a nature park, a model for crowdsourcing the design of an social computing approach to citizen science, and an analysis of the impact of crowdsourcing the design on motivating participation in collecting biodiversity data. Interactive tabletop computers will be placed in two nature parks so that the design of the citizen science environment can be embedded in a park experience and engage the public in understanding more about their parks, in data collection, and develop a personal commitment to environmental sustainability issues. In terms of broader impacts, the project provides three types of impact: research training by including graduate students, broad public dissemination to enhance scientific understanding of biodiversity, and benefits to society through association with the Aspen Center for Environmental Studies (ACES) and Encyclopedia of Life (EOL).
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TEAM MEMBERS:
Mary Lou MaherTom YehJennifer Preece