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.
The intent of this project is to use social network methods to study networks of afterschool and informal science stakeholders. It would attempt to create knowledge that improves afterschool programs access to informal science learning materials. This is an applied research study that applies research methods to improving access to and enactment of informal science education programs across a range of settings. The investigators plan to collect data from 600 community- and afterschool programs in California, conduct case studies of 10 of these programs, and conduct surveys of supporting intermediary organizations. The analysis of the data will provide descriptions of the duration, intensity, and nature of the networks among afterschool programs and intermediary agencies, and the diffusion patterns of science learning materials in afterschool programs. The project will yield actionable knowledge that will be disseminated among afterschool programs, intermediary organizations, funding agencies, and policymakers to improve the dissemination and support of afterschool science learning opportunities. The project is focused on free-choice settings where every day the largest numbers of children attend afterschool programs at schools and in other community settings. It seeks information about what conditions are necessary for informal science programs to significantly impact the largest possible number of children in these settings.
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TEAM MEMBERS:
Barbara MeansAnn HouseCarlin LlorenteRaymond McGhee
Presentation on NSF funded Nanoscale Informal Science Education Network (DRL-0940143), presented at the CAISE Convening on Organizational Networks, November 17th, 2011.
Presentation on NSF grant DRL-1010844 (""STAR Library Education Network: A Hands-on Learning Program for Libraries and Their Communities"") presented at the CAISE Convening on Organizational Networks, November 17th, 2011.
Presentation on NSF grant DRL-0840230 (""Communities of Learning for Urban Environments"") presented at the CAISE Convening on Organizational Networks, November 17th, 2011.
The Review of NISE Network Evaluation Findings: Years 1-5 seeks to investigate the work of the NISE Network since its inception in 2005 and provide an overarching summary of NISE Net Public Impacts evaluation efforts to the NISE Network and the broader ISE field. This Review is divided into six chapters, representing the following themes: Connecting ISE Professionals with Nano Informal Science Education; Connecting University-Affiliated Individuals with Nano Informal Science Education;Engaging the Public in Learning about Nano through NISE Network Educational Products;Engaging the Public with
Nanoscience is an emerging scientific field, and therefore an increasing amount of funding is flowing into nanoscience and nanotechnology research, including money from the federal government. Several studies of public understanding and public attitudes toward nanoscience have shown that most of the public is generally uninterested in and unmotivated to learn about nanoscale science and technology3. Because this emerging interdisciplinary field of science offers so much promise, and because it will have an increasing presence in everyday life, the NSF is committed to increasing public
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TEAM MEMBERS:
Mark St. JohnJenifer V. HelmsNanoscale Informal Science Education (NISE) NetworkPam CastoriJudy HirabayashiLaurie LopezMichelle Phillips
resourceevaluationProfessional Development, Conferences, and Networks
As part of community building efforts, the Nanoscale Informal Science Education (NISE) Network undertook regional site visits during Year 5 of the project. The purpose of the site visits was to deepen relationships with a small group of partners. The Network Community Group saw the site visits as an opportunity to create a stronger sense of community within the Network and build institutions' capacity to engage their local public in nano. Partners with the highest potential to infuse nano into their institution and/or become actively involved with the Network were chosen for a site visit. A
This report summarizes findings from Inverness Research's evaluation of the PIE Institute project. It outlines the project's approach and philosophy, the activities of the project and key features, and the contributions of the project to participating museum educators, their institutions, and the larger field of informal science education institutions.
The National Nanotechnology Infrastructure Network (NNIN) is a partnership of 13 institutions (Cornell University, Georgia Institute of Technology, Harvard University, Howard University, North Carolina State University (affiliate), Pennsylvania State University, Stanford University, University of California at Santa Barbara, University of Michigan, University of Minnesota, University of New Mexico, University of Texas at Austin, and University of Washington) that provides multi-faceted, interdisciplinary, and broadly-accessible infrastructure supporting both near-term and long-term needs identified in the National Nanotechnology Initiative. The partnering facilities are open laboratories providing outstanding service to the external user, comprehensive training and staff support, and support of interdisciplinary and emerging areas of research, with openness to new materials, techniques, and applications.
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TEAM MEMBERS:
Sandip TiwariDaniel RalphRoger Howe
resourceprojectProfessional Development, Conferences, and Networks
The Museum of Science (MOS) seeks to establish a Network, a national infrastructure designed to foster public awareness, engagement and understanding of nanoscale science and engineering (NSE). As part of this undertaking, MOS will create a set of interactive, media-based and discourse-based educational productes based on NSE; generate new knowledge about design for learning and produce a sustainable network that involves inromal educators and researchers. Core partners are the Exploratorium and the Science Museum of Minnesota (SMM). This project will establish for the first-time an open national network that links science centers across the nation, focusing for this award on the development and delivery of exhibits and programs addressing the interdisciplinary content areas of NSE. In addition, the Network will establish ties and collaborative relationships with university-based NSE research centers, including MRSEC's and NSEC's. An educational research and development component will address the challenges of public understanding of a difficult-to-grasp emerging field. Project deliverables will be created primarily at three sites. The Center for NISE Research at the Exploratorium will collect, develop and disseminate knowledge about how to communicate to target audiences. The NISE Center for Public Engagement at MOS will develop a network media framework for dissemination to other science centers, network radio (with WBUR), and produce forums for dialogue and deliberation with adult audiences. The NISE Center for Exhibit and Program Production and Dissemination at SMM will develop interactive exhibits, exhibition packages for distribution, and immersive media environments programs. Development of deliverables will involve the following science-technology center partners: Oregon Museum of Science and Industry (OMSI), OR; New York Hall of Science, NY; Fort Worth Museum of Science and History, TX; Museum of Life and Science, NC; Sciencenter, NY; and Association of Science-Technology Centers (ASTC). NSE research partners include Main Street Science, Cornell University; Materials Research Society; University of Wisconsin Madison, MRSEC Interdisciplinary Education Group; and Purdue University, Envision Center for Data Perceptualization. The resulting Network and the knowledge gained as a result of this project are intended to produce a dramatic improvement in the capacity of the science center field to engage and educate the public about NSE, both in quality and quantity. By Year Five, there are expected to be NSE exhibits and activities at some 100 sites across the nation. In addition, the NSE research community should gain a deeper appreciation of the role that science centers can play as intermediaries in conveying scientific research to the public.