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resource research Media and Technology
To appreciate what a huge difference there is between the author of a peer-reviewed journal article and just about any other kind of author we need only remind ourselves why universities have their "publish or perish" policy: aside from imparting existing knowledge to students through teaching, the work of a university scholar or scientist is devoted to creating new knowledge for other scholars and scientists to use, apply, and build upon, for the benefit of us all. Creating new knowledge is called "research", and its active use and application are called "research impact". Researchers are
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TEAM MEMBERS: Stevan Harnard
resource research Media and Technology
In the midst of a debate on access to information, the World Health Organization and the FAO have decided to develop a strategy to guarantee the right of poor countries to have free access to scientific publications. This right is often denied, mainly because of high subscription costs. For this reason, universities and research centres in southern countries must forego buying magazines, which are a valuable instrument for updating, and exchanging information on research and scientific issues. This choice has been made in an historical period when the industrialized world is marked by a
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TEAM MEMBERS: Elisabetta Tola
resource research Media and Technology
A ghost is wandering around the web: it is called open access, a proposal to modify the circulation system of scientific information which has landed on the sacred soil of scientific literature. The circulation system of scientific magazines has recently started faltering, not because this instrument is no longer a guarantee of quality, but rather for economic reasons. In countries such as Great Britain, as shown in the following chart, the past twenty years have seen a dramatic increase in subscription fees, exceeding by far the prices of other publishing products and the average inflation
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TEAM MEMBERS: Mauro Scanu
resource research Informal/Formal Connections
Scholars and scientists do research to create new knowledge so that other scholars and scientists can use it to create still more new knowledge and to apply it to improving people's lives. They are paid to do research, but not to report their research: that they do for free, because it is not royalty-revenue from their research papers but their "research impact" that pays their salaries, funds their further research, earns them prestige and prizes, etc. "Research impact" means how much of a contribution your research makes to further research: do other researchers read, use, cite, and apply
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TEAM MEMBERS: Stevan Harnard
resource research Public Programs
Summer science programs held in university research facilities provide ideal opportunities for pre-college students to master new skills and renew, refresh, and enrich their interest in science. These types of programs have a positive impact on a student's understanding of the nature of science and scientific inquiry and can open a youngster's eyes to the many possible career opportunities in science. This paper describes a study of high school students enrolled in the Summer Science Academy program at the University of Rochester that investigates the program's impact on students' knowledge of
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TEAM MEMBERS: Kerry Knox Jan Moynihan Dina Markowitz
resource project Media and Technology
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 Warnow David Hillis Lauren Meyers Daniel Miranker Warren Hunt, Jr.