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Croquet is a powerful open source software technology that, in the form of the Croquet Software Developer's Kit (Croquet SDK), can be used by experienced software developers to create and deploy deeply collaborative multi-user online vitual world applications on and across multiple operating systems and devices. Derived from Squeak, the Croquet system features a peer-based messaging protocol that dramatically reduces the need for server infrastructures to support virtual world deployment and makes it easy for software developers to create deeply collaborative applications. Cobalt is a National Science Foundation-sponsored effort to develop an open source virtual world browser and authoring toolkit application based on the Croquet technology.

Quick, incremental updates, along with heavy user involvement, are key characteristics of an emerging software development paradigm championed by a new generation of Web 2.0 start-ups. The new process, which some champions call "application development 2.0," contrasts markedly with the traditional corporate waterfall process that separates projects into several distinct phases, ranging from requirements to maintenance. Nonetheless, application development 2.0 can bring significant benefits to corporate IT shops if managers and developers are willing to change.

OPS4J stands for Open Participation Software for Java, and this community is trying to build a new, more open model for Open Source development, where not only the usage is Open and Free, but the Participation is Open as well. Removal of barriers, let more people in, have more fun and less politics. I have also seen Open Development as a term to describe this. Think of it as Wiki brought to Coding. Wikipedia is of course the most outstanding example of open collaboration.

Trends in programming language development and adoption point to Python as the high-level systems integration language of choice. Python leverages a vast developer-base external to the Neuroscience community, and promises leaps in simulation complexity and maintainability to any neural simulator which adopts it. As more and more simulators support Python, model development times can be drastically reduced by promoting code sharing and reuse across simulator communities. As a result, modellers can devote their software development time to innovating new simulation tools such as network topology databases, stimulus programming, analysis and visualisation tools, and simulation accounting, to name a few.

Software developed by DART@UQ is released under an open source license [BSD-like]. Binary versions of the software are available for download.

The Systems Biology Markup Language (SBML) is a computer-readable format for representing models of biochemical reaction networks in software. It's applicable to models of metabolism, cell-signaling, and many others. SBML has been evolving since mid-2000 thanks to an international community of software developers and users. This website is the portal for the global SBML development effort; here you can find information about all aspects of SBML.

An unbook is more like software: 1. An unbook is never finished, but rather continually updated, based on feedback from users andtheir evolving needs. 2. An unbook is released in versions. As in open source software, version 1.0 of an unbook is a significant milestone, indicating that it is stable and reliable enough for use by the general public. The significance of a new release is indicated by the size of the gap: For example, the difference between 1.1 and 1.1.3 is minor, while the difference between 1.1 and 2.0 is major. 3. An unbook is supported by a community of users who share their experiences and best practices with each other, and help each other troubleshoot problems encountered in their practice areas. An unbook's community is a very real part of the unbook's development team. An unbook is mindware: software for the mind.

SWiM is a semantic wiki for collaboratively building, editing and browsing a mathematical knowledge base. Its pages, containing mathematical theories, are stored in OMDoc, a markup format for mathematical knowledge. Our long-term objective is to develop a software that facilitates the creation of a shared, public collection of mathematical knowledge (e.g. for education) and serves work groups of mathematicians as a tool for collaborative development of new theories.

This is the homepage for an ongoing research and development project named PATIKA - Pathway Analysis Tools for Integration and Knowledge Acquisition. Within this project so far, among others, an ontology has been defined; a pathway database (which integrates and interfaces with several public pathway databases) has been constructed; and some software tools have been developed for effective integration, querying, analysis, and manipulation of pathway data.

NEPOMUK brings together researchers, industrial software developers, and representative industrial users, to develop a comprehensive solution for extending the personal desktop into a collaboration environment which supports both the personal information management and the sharing and exchange across social and organizational relations.

Networked Environment for Personalized, Ontology-based Management of Unified Knowledge NEPOMUK brings together researchers, industrial software developers, and representative industrial users, to develop a comprehensive solution for extending the personal desktop into a collaboration environment which supports both the personal information management and the sharing and exchange across social and organizational relations.

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.

Our goal in creating this site is to provide the basis for a thriving community of UIMA developers who can announce, discuss, design, share, and critique UIMA-compliant components, resources and solutions. The Unstructured Information Management Architecture (UIMA) is a software framework that supports rapid development and deployment of multimodal analytics - applications which provide value by processing human-readable text, audio and/or video in order to extract information, answer questions, summarize documents, etc.

"Cobalt" is an open source virtual world browser and construction toolkit application being developed at Duke University. Cobalt will make it possible for people to easily create, publish, access, and participate in a network of linked virtual worlds. Currently in pre-alpha and built using the Croquet open source software platform, Cobalt uses peer-based messaging to eliminate the need for virtual world servers and makes it very simple to create and share secure virtual worlds that run on all major software operating systems.

Ensembl is a joint project between EMBL - EBI and the Sanger Institute to develop a software system which produces and maintains automatic annotation on selected eukaryotic genomes. Ensembl is primarily funded by the Wellcome Trust. This site provides free access to all the data and software from the Ensembl project. Click on a species name to browse the data.

GATE is... * the Eclipse of Natural Language Engineering, the Lucene of Information Extraction, a leading toolkit for Text Mining * used worldwide by thousands of scientists, companies, teachers and students * comprised of an architecture, a free open source framework (or SDK) and graphical development environment * used for all sorts of language processing tasks, including Information Extraction in many languages * funded by the EPSRC, BBSRC, AHRC, the EU and commercial users * 100% Java reference implementation of ISO TC37/SC4 and used with XCES in the ANC * 10 years old in 2005, used in many research projects and compatible with IBM's UIMA * based on MVC, mobile code, continuous integration, and test-driven development, with code hosted on SourceForge

The goal of this project is to develop a Python tool to make an in-depth quantitative analysis about Wikipedia, generating graphics and statistical results for each language version of Wikipedia.

Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation. Alchemy allows you to easily develop a wide range of AI applications, including: * Collective classification * Link prediction * Entity resolution * Social network modeling * Information extraction

The Future of the Internet - a federating theme for activities on future networks, software and service architectures, networked media systems and the Internet of Things. Over the last 20 years society, economy and technology evolved in many directions and into new areas. Many of these evolutions have created opportunities which must be taken into account when crafting future Networks.

Unstructured Information Management applications are software systems that analyze large volumes of unstructured information in order to discover knowledge that is relevant to an end user. UIMA is a framework and SDK for developing such applications. An example UIM application might ingest plain text and identify entities, such as persons, places, organizations; or relations, such as works-for or located-at. UIMA enables such an application to be decomposed into components, for example "language identification" -> "language specific segmentation" -> "sentence boundary detection" -> "entity detection (person/place names etc.)". Each component must implement interfaces defined by the framework and must provide self-describing metadata via XML descriptor files. The framework manages these components and the data flow between them. Components are written in Java or C++; the data that flows between components is designed for efficient mapping between these languages. UIMA additionally provides capabilities to wrap components as network services, and can scale to very large volumes by replicating processing pipelines over a cluster of networked nodes.