Group items tagged

This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web, and the multi-disciplinary nature of its study and development. These questions and approaches together set out an agenda for Web Science, the science of decentralised information systems. Web Science is required both as a way to understand the Web, and as a way to focus its development on key communicational and representational requirements. The text surveys central engineering issues, such as the development of the Semantic Web, Web services and P2P. Analytic approaches to discover the Web's topology, or its graph-like structures, are examined. Finally, the Web as a technology is essentially socially embedded; therefore various issues and requirements for Web use and governance are also reviewed.

Science cafés are live events that involve a face-to-face conversation with a scientist about current science topics. They are open to everyone, and take place in casual settings like pubs and coffeehouses.

Group sensemaking strikes me as more like science, if it isn't 'meta-science'. In other words, we want to make sense we all agree on that isn't just another kind of ideology or dogma, but based on objective reality. Where science, or at least the reductive approach, aggregates facts and data, sensemaking, like integrative methods, puts the facts into context with a larger environment. Sensemaking, in my view, is about understanding reality sufficiently well that one feels comfortable making statements about the future. That is, not necessarily making predictions, but anticipating future possibilities based on understanding how the world works.

Purpose 1. Act as a central point of reference and support for people who think they are interested in open data in science. 2. Identify practices of early adopters, collecting data and developing guides. 3. Act as a hub for the development of low cost, community driven projects around open data in science.

I have the pleasure to announce that the International Association for Ontology and its Applications (IAOA) has been born. (1YGF) Formally established in Trento, Italy in April 2009, after an open meeting at the FOIS 2008 conference, IAOA is a non-profit, open association with the purpose of promoting interdisciplinary research and international collaboration at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science, as well as in the applications of ontological analysis to conceptual modeling, knowledge engineering, knowledge management, information systems development, library and information science, scientific research and semantic technologies in general.

WikiGenes is the first wiki system to combine the collaborative and largely altruistic possibilities of wikis with explicit authorship. In view of the extraordinary success of Wikipedia there remains no doubt about the potential of collaborative publishing, yet its adoption in science has been limited. Here I discuss a dynamic collaborative knowledge base for the life sciences that provides authors with due credit and that can evolve via continual revision and traditional peer review into a rigorous scientific tool.

The SciLands is a mini-continent and user community in the virtual world platform Second Life devoted exclusively to science and technology. There are over 20 science and technology related organizations in the SciLands, including government agencies, universities and museums.

Science Museum Learning Collaboratories: Helping to Bridge the Gap Between Museums' Informal Learning Resources and Science Education in K-12 Schools

Resonance is a journal of science education, published monthly by the Indian Academy of Sciences, Bangalore, entering its second decade of publication. The journal is primarily directed at students and teachers at the undergraduate level, though some of the articles may go beyond this range.

There is a growing community interest in applying Semantic Web and Web 2.0 technologies in health care and life sciences areas including the Health Care and Life Sciences Interest Group (HCLSIG ; http://www.w3.org/2001/sw/hcls/) and Medicine 2.0 (http://www.medicine20congress.com/). This has motivated us to explore how to intersect these two sets of technologies in the context of the HCLS Knowledge Base (KB).

Rapid advances in information technologies continue to drive a flood of data and analysis techniques in ecological and environmental sciences. Using these resources more effectively and taking advantage of associated cross-disciplinary research opportunities poses a major challenge to both scientists and information technologists. These challenges are now being addressed in projects that apply knowledge representation and Semantic Web technologies to problems in discovering and integrating ecological data and data analysis techniques. In this paper, we present an overview of the major ontological components of our project, SEEK ("Science Environment for Ecological Knowledge"). We describe the concepts and models that are represented in each, and present a discussion of potential applications of these ontologies on the Semantic Web

The Web Science Research Initiative brings together academics, scientists, sociologists, entrepreneurs and decision makers from around the world. These people will create the first multidisciplinary research body to examine the World Wide Web and offer the practical solutions needed to help guide its future use and design.

CENDI's vision is to provide its member federal STI agencies a cooperative enterprise where capabilities are shared and challenges are faced together so that the sum of accomplishments is greater than each individual agency can achieve on its own. CENDI's mission is to help improve the productivity of federal science- and technology-based programs through effective scientific, technical, and related information-support systems. In fulfilling its mission, CENDI agencies play an important role in addressing science- and technology-based national priorities and strengthening U.S. competitiveness. CENDI is an interagency working group of senior scientific and technical information (STI) managers from 13 U.S. federal agencies

Wanted: Better Wikipedia coverage of theoretical computer science

This exploratory study examines the relationships between article and Talk page contributions and their effect on article quality in Wikipedia. The sample consisted of three articles each from the hard sciences, soft sciences, and humanities, whose talk page and article edit histories were observed over a five-month period and coded for contribution types. Richness and neutrality criteria were then used to assess article quality and results were compared within and among subject disciplines. This study reveals variability in article quality across subject disciplines and a relationship between Talk page discussion and article editing activity. Overall, results indicate the initial article creator's critical role in providing a framework for future editing as well as a remarkable stability in article content over time.

BiOS is a response to inequities in food security, nutrition, health, natural resource management and energy. Our goal is to democratise problem solving to enable diverse solutions through decentralised innovation. Open Source We promote an innovation paradigm that focuses on a distinction between the tools of innovation and the products. We promote licenses that couple rights with responsibilities to foster efficient development, improvement, sharing and use of technology. Open Science We create and share new biological enabling technologies and platforms that can be used to deliver innovations. We develop new licensing and distributive collaboration mechanisms that have resonance with the open source software movement, but are tailored for biological innovation. Open Society We enhance the transparency, accessibility and capability to use all the tools of science, whether patented, open access or public domain.

Science Commons designs strategies and tools for faster, more efficient web-enabled scientific research. We identify unnecessary barriers to research, craft policy guidelines and legal agreements to lower those barriers, and develop technology to make research data and materials easier to find and use.

Knowledge has generally existed within strict disciplinary boundaries, creating barriers against the free flow of information. The boundaries between disciplines reduces the ability of researchers to fully assess the work that has been accomplished and can lead to redundancy and to situations in which scholars are "reinventing the wheel" when they could instead be advancing knowledge into new frontiers. Is there a solution? There is if we take the time to create a cross-disciplinary understanding of knowledge representation and organization. The solution would require a comprehensive, interdisciplinary effort from scholars in diverse disciplines including communications, sociology, anthropology, information science, biology, computer science and philosophy. The Structure for Encompassing Extensible Knowledge (SEEK) is a model I propose to explore the possibilities for knowledge integration theoretically, technologically and from the perspective of human management.

Cyberinfrastructure for Phylogenetic Research (CIPRES) project is an open collaboration funded by the National Science Foundation. The group is led by Tandy Warnow and involves researchers (biologists, computer scientists, statisticians, and mathematicians) at sixteen institutions. The goal of the CIPRES project is to enable large-scale phylogenetic reconstructions on a scale that will enable analyses of huge data sets containing hundreds of thousands of bio molecular sequences. To achieve this goal we have brought together a group of researchers involved in phylogeny estimation, statistics, and computer science to create new solutions for the difficult computational problems that arise in inferring evolutionary relationships.

Perhaps this is a meme worth exploring more generally but I thought others might be interested in my story, partly because it illustrates how funding drives scientists, and partly because it shows how the combination of opportunism and serendipity can make for successful bedfellows.