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'"A Science of Non-Classical Dynamics Based on the Progressive Evolution of the Larger Whole" In this paper, I am trying to lay out a new form of computation, which focuses on the harmony reached in a system. This type of computation in some way resembles certain recent results in chaos theory and complexity theory. However, the orientation of harmony-seeking computation is toward a kind of computation which finds harmonious configurations, and so helps to create things, above all, in real world situations: buildings, towns, agriculture, and ecology. I try to show that this way of thinking about computation is closer to intuition and personal feeling than the processes we typically describe as "computations." It is also more useful, potentially, in a great variety of tasks we face in building and taking care of the surface of the Earth, and quite different in character since it is value-oriented, not value-free. Examples are taken from art, architecture, biology, physics, astrophysics, drawing, crystallography, meteorology, dynamics of living systems, and ecology'

A sixty-six page think piece

Researchers in the School of Computer Science at the University's Malaysia Campus are exploring 'granular computing' - a computer paradigm that looks at groups or sets of information, called information granules, rather than the high level of detail at which data is currently processed. By looking at data in this way, new patterns and relationships emerge - which could potentially give us access to new types of computer modelling in a range of fields, including process control and optimisation, resource scheduling and bioinformatics.

PLoS Computational Biology is a peer-reviewed, open-access journal featuring works of exceptional significance that further our understanding of living systems at all scales through the application of computational methods. It is the official journal of the International Society for Computational Biology.

The Initiative in Innovative Computing (IIC) is an interdisciplinary research and development center at Harvard dedicated to using innovative computing tools to accelerate discovery across all of the scientific disciplines.

Computational Collective Intelligence (CCI) is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions or processing knowledge among autonomous units acting in distributed environments. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The aim of this conference is to provide an internationally respected forum for scientific research in the computer-based methods of collective intelligence and their applications in (but not limited to) such fields as semantic web, social networks and multi-agent systems.

So here's the real trick: cloud computing is real. Everything is moving into the cloud, in whole or in part. The utility layer of cloud computing will be just that, a utility, without outsized profits. But the cloud platform, like the software platform before it, has new rules for competitive advantage. And chief among those advantages are those that we've identified as "Web 2.0", the design of systems that harness network effects to get better the more people use them.

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.

Climateprediction.net is a distributed computing project to produce predictions of the Earth's climate up to 2080 and to test the accuracy of climate models. To do this, we need people around the world to give us time on their computers - time when they have their computers switched on, but are not using them to their full capacity.

We propose a biologically and physically plausible model for ants and pheromones, and show this model to be sufficiently powerful to simulate the computation of arbitrary logic circuits. We thus establish that coherent deterministic and centralized computation can emerge from the collective behavior of simple distributed markovian processes as those followed by ants.

Here, we present a computational model that learns structures of many different forms and that discovers which form is best for a given dataset. The model makes probabilistic inferences over a space of graph grammars representing trees, linear orders, multidimensional spaces, rings, dominance hierarchies, cliques, and other forms and successfully discovers the underlying structure of a variety of physical, biological, and social domains. Our approach brings structure learning methods closer to human abilities and may lead to a deeper computational understanding of cognitive development.

The NeuroCommons project seeks to make all scientific research materials - research articles, annotations, data, physical materials - as available and as useable as they can be. We do this by both fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". We want knowledge sources to combine meaningfully, enabling semantically precise queries that span multiple information sources. Our work covers general data and knowledge sources used in computational biology as well as sources specific to neuroscience and neuromedicine. The practices that we develop and promote are designed to play well on the Semantic Web. We view our technical work not as creating a new service or content library, although we do both, but rather as helping to promote the growth of semantically linked scientific information.

The recent announcement by Microsoft of a bid to acquire Yahoo! in a hostile takeover provides stark evidence of the continuing complexity of the intersection of computing and media businesses battling for dominance in the global market. Just as in the case of Time-Warner and AOL (Klein, 2003), the proposed Microsoft-Yahoo! deal is about convergence. The big difference, however, is the new context of threats and opportunities which have led to Redmond's latest effort to deploy its legendary financial muscle in pursuit of corporate goals of market domination. This difference emerges from changing conditions of networked media-computing which are in part associated with the rise of Web 2.0 and which provide an essential clue to understanding why Web 2.0 occupies such an important position in contemporary thinking about the Internet. As I will explain in this paper, Web 2.0 can itself be understood fully only by locating its emergence and significance within the broad movement of convergence of old and new media forms.

As computers and computer networks become more sophisticated, a huge amount of information, such as that found in Web documents, has been accumulated and circulated. Such information gives people a framework for organizing their daily lives. A well-functioning society needs technology that can be used to manage this wealth of information and, in particular, investigate its credibility. This technology would be able to handle a wide range of tasks: extracting credible information related to a given topic, organizing this information, detecting its provenance, clarifying background, facts, and various related opinions and the distribution of them, and so on. Especially, as the Web is becoming a major source of information nowadays, it is necessary to provide efficient and reliable methods for evaluation of Web content's trustworthiness. The aim of this workshop is to provide a forum for discussion on issues related to information credibility criteria and the process of its evaluation.

Use the idle time on your computer (Windows, Mac, or Linux) to cure diseases, study global warming, discover pulsars, and do many other types of scientific research.

"[...] Mazzagatti calls this new data structure the Triadic Continuum, in honor of the theories and writings of Charles Sanders Peirce, one of the least well-known scientific geniuses of the late 19th century. Peirce, who is recognized as the father of pragmatism, is also known for his work in semiotics, the study of thought signs. Using Peirce's theoretical writings on how thought signs are organized into the structure of the human brain, Mazzagatti extrapolated a computer data structure that is self organizing - in other words, a data structure that naturally organizes new data by either building on the existing data sequences or adding to the structure as new data are introduced"

I quote: "Mazzagatti continued research into how Peirce's sign theory could be adapted to create a logical structure composed of signs that could be used in computers. Using Peirce's theoretical writings on how thought signs are organized into the structure of the human brain, Mazzagatti extrapolated a computer data structure that is self organizing - in other words, a data structure that naturally organizes new data by either building on the existing data sequences or adding to the structure as new data are introduced. "

The conference on Computational Model of Arguments (COMMA) originated from the ASPIC project, and is intended as a regular forum in which research related to computational aspects of argumentation will be presented.

This document is intended to initiate a conversation that will bring together the emerging cloud computing community (both cloud users and cloud providers) around a core set of principles. We believe that these core principles are rooted in the belief that cloud computing should be as open as all other IT technologies.

Starting wtih Volume 35, Issue 1, Computational Linguistics is an open access journal, freely available to all online readers. There will no longer be a print edition.

OpenMark is a computer-assisted assessment (CAA) system that has its foundations in computer-assisted learning. It was developed by The Open University, where it has been used by thousands of students, and is now released as open source software under the GNU General Public License

This essay discusses the notion of sensemaking, including definitions and possible applications for intelligent decision support systems. The perspectives on the notion of sensemaking are those of psychology, human-centered computing, and naturalistic decision making. The essay discusses a number of myths about sensemaking (for example, that sensemaking is merely "connecting the dots"), showing how empirical evidence about expert decision making refutes the myths.