This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of an interdisciplinary graduate training program in Cognitive, Computational, and Systems Neuroscience at Washington University in Saint Louis. Understanding how the brain works under normal circumstances and how it fails are among the most important problems in science. The purpose of this program is to train a new generation of systems-level neuroscientists who will combine experimental and computational approaches from the fields of psychology, neurobiology, and engineering to study brain function in unique ways. Students will participate in a five-course core curriculum that provides a broad base of knowledge in each of the core disciplines, and culminates in a pair of highly integrative and interactive courses that emphasize critical thinking and analysis skills, as well as practical skills for developing interdisciplinary research projects. This program also includes workshops aimed at developing the personal and professional skills that students need to become successful independent investigators and educators, as well as outreach programs aimed at communicating the goals and promise of integrative neuroscience to the general public. This training program will be tightly coupled to a new research focus involving neuro-imaging in nonhuman primates. By building upon existing strengths at Washington University, this research and training initiative will provide critical new insights into how the non-invasive measurements of brain function that are available in humans (e.g. from functional MRI) are related to the underlying activity patterns in neuronal circuits of the brain. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.
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TEAM MEMBERS:
Kurt ThoroughmanGregory DeAngelisRandy BucknerSteven PetersenDora Angelaki
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).
Scientists and researchers from fields as diverse as oceanography and ecology, astronomy and classical studies face a common challenge. As computer power and technology improve, the sizes of data sets available to us increase rapidly. The goal of this project is to develop a new methodology for using citizen science to unlock the knowledge discovery potential of modern, large data sets. For example, in a previous project Galaxy Zoo, citizen scientists have already made major contributions, lending their eyes, their pattern recognition skills and their brains to address research questions that need human input, and in so doing, have become part of the computing process. The current Galaxy Zoo project has recruited more than 200,000 participants who have provided more than 100 million classifications of galaxies from the Sloan Digital Sky Survey. This project builds upon early successes to develop a mode of citizen science participation which involves not only simple "clickwork" tasks, but also involves participants in more advanced modes of scientific thought. As part of the project, a symbiotic relationship with machine learning tools and algorithms will be developed, so that results from citizen scientists provide a rich training set for improving algorithms that in turn inform citizen science modes of participation. The first phase of the project will be to develop a portfolio of pilot projects from astrophysics, planetary science, zoology, and classical studies. The second phase of the project will be to develop a framework - called the Zooniverse - to facilitate citizen scientists. In particular, research and machine-learning communities will be engaged to identify suitable projects and data sets to integrate into Zooniverse.
The ultimate goal with the Zooniverse is to create a sustainable future for large-scale, internet-based citizen science as part of every researcher?s toolkit, exemplifying a new paradigm in computational thinking, tapping the mental resources of a community of lay people in an innovative and complex manner that promises a profound impact on our ability to generate new knowledge. The project will engage thousands of citizens in authentic science tasks leading to a better public understanding of science and also, by the engagement of students, leading to interest in scientific careers.
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TEAM MEMBERS:
Geza GyukPamela GayChristopher LintottMichael RaddickLucy FortsonJohn Wallin
The National Science Festival Network project, also operating as the Science Festival Alliance, is designed to create a sustainable national network of science festivals that engages all facets of the general public in science learning. Science Festivals, clearly distinct from "science fairs", are community-wide activities engaging professional scientists and informal and K-12 educators targeting underrepresented segments of local communities historically underserved by formal or informal STEM educational activities. The initiative builds on previous work in other parts of the world (e.g. Europe, Australasia) and on recent efforts in the U.S. to create science festivals. The target audiences are families, children and youth ages 5-18, adults, professional scientists and educators in K-12 and informal science institutions, and underserved and underrepresented communities. Project partners include the MIT Museum in Cambridge, UC San Diego, UC San Francisco, and the Franklin Institute in Philadelphia. The deliverables include annual science festivals in these four cities supported by year-round related activities for K-12 and informal audiences, a partnership network, a web portal, and two national conferences. Ten science festivals will be convened in total over the 3 years of the project, each reaching 15,000 to 60,000 participants per year. STEM content includes earth and space science, oceanography, biological/biomedical science, bioinformatics, and computer, behavioral, aeronautical, nanotechnology, environmental, and nuclear science. An independent evaluator will systematically assess audience participation and perceptions, level/types of science interest stimulated in target groups, growth of partnering support at individual sites, and increasing interactions between ISE and formal K-12 education. A variety of qualitative and quantitative assessments will be designed and utilized. The project has the potential to transform public communication and understanding of science and increase the numbers of youth interested in pursuing science.
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TEAM MEMBERS:
Loren ThompsonJeremy BabendureBen Wiehe
This project entails the creation of a coordinated colony of robotic bees, RoboBees. Research topics are split between the body, brain, and colony. Each of these research areas is drawn together by the challenges of recreating various functionalities of natural bees. One such example is pollination: Bees coordinate to interact with complex natural systems by using a diversity of sensors, a hierarchy of task delegation, unique communication, and an effective flapping-wing propulsion system. Pollination and other agricultural tasks will serve as challenge thrusts throughout the life of this project. Such tasks require expertise across a broad spectrum of scientific topics. The research team includes experts in biology, computer science, electrical and mechanical engineering, and materials science, assembled to address fundamental challenges in developing RoboBees. An integral part of this program is the development of a museum exhibit, in partnership with the Museum of Science, Boston, which will explore the life of a bee and the technologies required to create RoboBees.
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TEAM MEMBERS:
Robert WoodRadhika NagpalJ. Gregory MorrisettGu-Yeon WeiJoseph Ayers
Realizing the power of CyberLearning to transform education will require vision, strategy, and an engaged, talented community. Activities are needed to energize the community, refine and sharpen the path forward, and provide a more active and ongoing forum for clarifying the big ideas and challenging questions. In response to this need, SRI International, together with the Lawrence Hall of Science and with key support from the National Geographic Society, will organize a set of activities to advance a shared vision of the future of learning, encompassing the systems, people, and technology dimensions mutually necessary for any scalable and lasting advances in education. The innovative format for these activities is inspired by the TED talks, Wikipedia, and social networking. As in TED, a small set of leading researchers will be selected to give very short, very high quality, stimulating talks. These CyberLearning Talks will be featured at a 1-day summit meeting in Washington, DC, streamed so that local cyberlearning research communities may participate at a distance, and posted on a website. As in Wikipedia, CyberLearning Pages will be created, each page featuring a synopsis of a big idea in CyberLearning and the relevant research challenges. The 1-day conference will be followed by a small 1-day workshop focusing on how to evaluate cyberlearning efforts, identify progress, and identify important new directions. Finally, to disseminate and stimulate conversation about both the video talks and Wikipedia entries, a presence for the community will be created on social networking sites. The target outcomes of the effort will be (i) a cyberlearning research community with participants from across the many current constituent communities, and fostered awareness and appreciation of the broad range of expertise and interests across that wider community; (ii) foundations for sustained discussion of big ideas, insights, and challenges to help this new community define a more engaged, crisper vision of its own future, (iii) a community resource that can become a site for interconnecting stakeholders in the CyberLearning community and supporting investigators in improving field-generated proposals, and (iv) an emerging sense of direction for CyberLearning among a wider audience of leaders. Such community building and awareness is expected to foster collaborations that will lead to innovative and research-grounded ways of using technology to transform education -- formal and informal and across a lifetime.
This Nanoscale Science and Engineering Center (NSEC) is a collaboration among Harvard University, the Massachusetts Institute of Technology, the University of California—Santa Barbara, and the Museum of Science—Boston with participation by Delft University of Technology (Netherlands), the University of Basel (Switzerland), the University of Tokyo (Japan), and the Brookhaven, Oak Ridge, and the Sandia National Laboratories. The NSEC combines "top down" and "bottom up" approaches to construct novel electronic and magnetic devices with nanoscale sizes and understand their behavior, including quantum phenomena. Through a close integration of research, education, and public outreach, the Center encourages and promotes the training of a diverse group of people to be leaders in this new interdisciplinary field.
Poster on NSF grant DRL-1132393 (Cyberlearning Research Summit 2012: Imagining the Future of Learning, Systems, People, and Technology) from the 2012 ISE PI Meeting.
Poster on NSF grant DRL-1114655 (""Investigating An Intelligent Cyberlearning System For Interactive Museum-based Sustainability Modeling"") from the 2012 ISE PI Meeting.
Proton is a novel framework that addresses both of these problems. Using Proton, the application developer declaratively specifies each gesture as a regular expression over a stream of touch events. Proton statically analyzes the set of gestures to report conflicts, and it automatically creates gesture recognizers for the entire set. To simplify the creation of complex multitouch gestures, Proton introduces gesture tablature, a graphical notation that concisely describes the sequencing of multiple interleaved touch actions over time.
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TEAM MEMBERS:
Jim SpadacciniKenrick KinBjörn HartmannTony DeRoseManeesh Agrawala
resourceprojectProfessional Development, Conferences, and Networks
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
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
The project will develop and study the impact of science simulations, referred to as sims, on middle school childrens' understanding of science and the scientific process. The project will investigate: 1) how characteristics of simulation design (e.g., interface design, visual representations, dynamic feedback, and the implicit scaffolding within the simulation) influence engagement and learning and how responses to these design features vary across grade-level and diverse populations; 2) how various models of instructional integration of a simulation affect how students interact with the simulation, what they learn, and their preparation for future learning; 3) how these interactions vary across grade-level and diverse populations; and 4) what critical instructional features, particularly in the type and level of scaffolding, are needed. Working with teachers, the team will select 25 existing sims for study. Teachers and students will be interviewed to test for usability, engagement, interpretation, and learning across content areas. The goal will be to identify successful design alternatives and to formulate generalized design guidelines. In parallel, pull-out and classroom-based studies will investigate a variety of use models and their impact on learning. Ten new simulations will then be developed to test these guidelines. Products will include the 35 sims with related support materials available for free from a website; new technologies to collect real-time data on student use of sims; and guidelines for the development of sims for this age population. The team will also publish research on how students learn from sims.
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TEAM MEMBERS:
Katherine PerkinsDaniel SchwartzMichael DubsonNoah Podolefsky