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
Probably among the first to deal with it, nearly sixty years ago, Norbert Wiener, the founding father of cybernetics (The human use of human beings. Cybernetics and Society, Houghton Mifflin Company, London, 1950), prefigured its opportunities, as well as its limitations. Today, it is a quite common belief. We have entered (are entering) a new, great era in the history of human society: the age of information and knowledge.
The Department of Computer Science and Engineering and DO-IT IT (Disabilities, Opportunities, Internetworking and Technology) at the University of Washington propose to create the AccessComputing Alliance for the purpose of increasing the participation of people with disabilities in computing careers. Alliance partners Gallaudet University, Microsoft, the NSF Regional Alliances for Persons with Disabilities in STEM (hosted by the University of Southern Maine, New Mexico State University, and UW), and SIGACCESS of the Association for Computing Machinery (ACM) and collaborators represent stakeholders from education, industry, government, and professional organizations nationwide.
Alliance activities apply proven practices to support persons with disabilities within computing programs. To increase the number of students with disabilities who successfully pursue undergraduate and graduate degrees, the alliance will run college transition and bridge, tutoring, internship, and e-mentoring programs. To increase the capacity of postsecondary computing departments to fully include students with disabilities in coursers and programs, the alliance will form communities of practice, run capacity-building institutes, and develop systemic change indicators for computing departments. To create a nationwide resource to help students with disabilities pursue computing careers and computing educators and employers, professional organizations and other stakeholders to develop more inclusive programs and share effective practices, the alliance will create and maintain a searchable AccessComputing Knowledge Base of FAQs, case studies, and effective/promising practices.
These activities will build on existing alliances and resources in a comprehensive, integrated effort. They will create nationwide collaborations among individuals with disabilities, computing professionals, employers, disability providers, and professional organizations to explore the issues that contribute to the underrepresentation of persons with disabilities and to develop, apply and assess interventions. In addition, they will support local and regional efforts to recruit and retain students with disabilities into computing and assist them in institutionalizing and replicating their programs. The alliance will work with other Alliances and organizations that serve women and underrepresented minorities to make their programs accessible to students with disabilities. Finally they will collect and publish research and implementation data to enhance scientific and technological understanding of issues related to the inclusion of people with disabilities in computing.
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TEAM MEMBERS:
Richard LadnerLibby CohenSheryl BurgstahlerWilliam McCarthy
This article introduces a study on the websites of several European public research institutions that aims at identifying the science communication model chosen and implemented online with the purpose of reaching different target publics. The analytical approach takes into account a number of indicators: from the institutional identity to the scientific features, from the interactive services to the internationalisation level, in order to evaluate whether the web provides an added value in the adopted communication model and in building a relation with the users. Lights and shades emerge from
In this paper we discuss our approach to designing two public exhibitions, where our goal has been that of facilitating and supporting visitors' own contributions to the exhibits. The approach behind our work sees the role of technology that is supporting people's experiences of heritage as moving away from delivery of information, and towards enabling visitors to create the content of the exhibit. This approach is aimed at encouraging active reflection, discussion and appropriation, in the tradition of human-centred interaction design. In the paper we present two installations, "Re-Tracing
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Luigina CiolfiLiam BannonMikael Fernstrom
NSF's Cyberinfrastructure Vision for 21st Century Discovery is presented in a set of interrelated chapters that describe the various challenges and opportunities in the complementary areas that make up cyberinfrastructure: computing systems, data, information resources, networking, digitally enabled-sensors, instruments, virtual organizations, and observatories, along with an interoperable suite of software services and tools. This technology is complemented by the interdisciplinary teams of professionals that are responsible for its development, deployment and its use in transformative
As mobile devices are increasingly merging into our daily lives, exhibition services are also facing innovation based on the newly available technologies. Our project addresses these new circumstances. We developed a mobile exhibition guide for the exhibition called "Mrs Brown's Big Day Out: Hamilton Women in the 1950s". That is organized by the Waikato Museum. The proposed system re-uses the TIP (Tourist Information Provider) system's framework and provides information via mobile devices to visitors on Victoria Street, which is an outdoor part of the exhibition. The information about a sight
Museums are blogging. At this writing, over 50 museum-administered blogs exist worldwide, while still more write about museums. Some blogs even focus their content specifically on the topic of museum blogging. However, museum blogging is still largely untouched in accessible professional or museological literature, save for articles on how museums can begin blogging and strategies they can employ to boost the visibility of their blog online. While useful, these articles fall under museum practice and rarely acknowledge museum theory. From a museological perspective, it is important to
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.
The Nanoscale Science and Engineering Center entitled New England Nanomanufacturing Center for Enabling Tools is a partnership between Northeastern University, the University of Massachusetts Lowell, the University of New Hampshire, and Michigan State University. The NSEC unites 34 investigators from 9 departments. The NSEC is likely to impact solutions to three critical and fundamental technical problems in nanomanufacturing: (1) Control of the assembly of 3D heterogeneous systems, including the alignment, registration, and interconnection at three dimensions and with multiple functionalities, (2) Processing of nanoscale structures in a high-rate/high-volume manner, without compromising the beneficial nanoscale properties, (3) Testing the long-term reliability of nano components, and detect, remove, or prevent defects and contamination. Novel tools and processes will enable high-rate/high-volume bottom-up, precise, parallel assembly of nanoelements (such as carbon nanotubes, nanorods, and proteins) and polymer nanostructures. This Center will contribute a fundamental understanding of the interfacial behavior and forces required to assemble, detach, and transfer nanoelements, required for guided self-assembly at high rates and over large areas. The Center is expected to have broader impacts by bridging the gap between scientific research and the creation of commercial products by established and emerging industries, such as electronic, medical, and automotive. Long-standing ties with industry will also facilitate technology transfer. The Center builds on an already existing network of partnerships among industry, universities, and K-12 teachers and students to deliver the much-needed education in nanomanufacturing, including its environmental, economic, and societal implications, to the current and emerging workforce. The collaboration of a private and two public universities from two states, all within a one hour commute, will lead to a new center model, with extensive interaction and education for students, faculty, and outreach partners. The proposed partnership between NENCET and the Museum of Science (Boston) will foster in the general public the understanding that is required for the acceptance and growth of nanomanufacturing. The Center will study the societal implications of nanotechnology, including conducting environmental assessments of the impact of nanomanufacturing during process development. In addition, the Center will evaluate the economic viability in light of environmental and public health findings, and the ethical and regulatory policy issues related to developmental technology.
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TEAM MEMBERS:
Ahmed BusnainaNicol McGruerGlen MillerCarol BarryJoey Mead
This collaborative project aims to establish a national computational resource to move the research community much closer to the realization of the goal of the Tree of Life initiative, namely, to reconstruct the evolutionary history of all organisms. This goal is the computational Grand Challenge of evolutionary biology. Current methods are limited to problems several orders of magnitude smaller, and they fail to provide sufficient accuracy at the high end of their range. The planned resource will be designed as an incubator to promote the development of new ideas for this enormously challenging computational task; it will create a forum for experimentalists, computational biologists, and computer scientists to share data, compare methods, and analyze results, thereby speeding up tool development while also sustaining current biological research projects. The resource will be composed of a large computational platform, a collection of interoperable high-performance software for phylogenetic analysis, and a large database of datasets, both real and simulated, and their analyses; it will be accessible through any Web browser by developers, researchers, and educators. The software, freely available in source form, will be usable on scales varying from laptops to high-performance, Grid-enabled, compute engines such as this project's platform, and will be packaged to be compatible with current popular tools. In order to build this resource, this collaborative project will support research programs in phyloinformatics (databases to store multilevel data with detailed annotations and to support complex, tree-oriented queries), in optimization algorithms, Bayesian inference, and symbolic manipulation for phylogeny reconstruction, and in simulation of branching evolution at the genomic level, all within the context of a virtual collaborative center. Biology, and phylogeny in particular, have been almost completely redefined by modern information technology, both in terms of data acquisition and in terms of analysis. Phylogeneticists have formulated specific models and questions that can now be addressed using recent advances in database technology and optimization algorithms. The time is thus exactly right for a close collaboration of biologists and computer scientists to address the IT issues in phylogenetics, many of which call for novel approaches, due to a combination of combinatorial difficulty and overall scale. The project research team includes computer scientists working in databases, algorithm design, algorithm engineering, and high-performance computing, evolutionary biologists and systematists, bioinformaticians, and biostatisticians, with a history of successful collaboration and a record of fundamental contributions, to provide the required breadth and depth. This project will bring together researchers from many areas and foster new types of collaborations and new styles of research in computational biology; moreover, the interaction of algorithms, databases, modeling, and biology will give new impetus and new directions in each area. It will help create the computational infrastructure that the research community will use over the next decades, as more whole genomes are sequenced and enough data are collected to attempt the inference of the Tree of Life. The project will help evolutionary biologists understand the mechanisms of evolution, the relationships among evolution, structure, and function of biomolecules, and a host of other research problems in biology, eventually leading to major progress in ecology, pharmaceutics, forensics, and security. The project will publicize evolution, genomics, and bioinformatics through informal education programs at museum partners of the collaborating institutions. It also will motivate high-school students and college undergraduates to pursue careers in bioinformatics. The project provides an extraordinary opportunity to train students, both undergraduate and graduate, as well as postdoctoral researchers, in one of the most exciting interdisciplinary areas in science. The collaborating institutions serve a large number of underrepresented groups and are committed to increasing their participation in research.
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TEAM MEMBERS:
Tandy WarnowDavid HillisLauren MeyersDaniel MirankerWarren Hunt, Jr.
As an increasing number of robots have been designed to interact with people on a regular basis, research into human-robot interaction has become more widespread. At the same time, little work has been done on the problem of longterm human-robot interaction, in which a human uses a robot for a period of weeks or months. As people spend more time with a robot, it is expected that how they make sense of the robot - their “cognitive model” of it - may change over time. In order to identify factors that will be critical to the future development of a quantitative cognitive model of long-term human