1. IntelliConnect
Recent enquiries (9/11 Commission in USA, Bishart in UK, Flood in Australia) have all identified poor information and intelligence sharing between agencies as being the major cause of intelligence failure, whether in national security or law enforcement. The tensions between managing investigation and intelligence: tasking versus analysis, facts versus uncertainty, make intelligence led investigations a challenge, both for the defence and policing agencies. Whilst the issues are as much to do with policy and personality as with technology it is clear that strong technical architectural principles are needed to underpin any trusted, sharing mechanism. As a result the need for interoperability between the different intelligence agencies is rapidly becoming critical. However these different organizations need to control their own information, but share in well-defined circumstances. This technology application concept uses DSTC's Electronic Health Record System, based on a publicly available standards and archetype-based Electronic Health Record Architecture called openEHR to share sensitive intelligence data using open standards.

2. Analysis of Competing Hypotheses using Subjective Logic
Intelligence analysis is a complicated task that requires a high degree of analytical judgement under conditions of considerable uncertainty. This judgement is used to fill in the gaps in knowledge and is the analyst's principal means of managing uncertainty. Much of intelligence analysis includes judging the relevance and the value of evidence to determine the likelihood of competing hypotheses. DSTC has developed a formal approach to the evaluation of competing hypotheses and a set of accompanying technologies based on Subjective Logic.

3. Mining with Mango - the seed, the pith and the shell
DSTC's Mango toolkit can be used in a number of knowledge management and mining tasks, including text analysis of email collections like that of failed U.S corporation Enron. Mango is a prototype low-level software toolkit for creating and using semantic spaces (a cognitively motivated and validated knowledge represention) to mine and represent data for further analysis.

4. Evaluating & Developing Intelligence Sources through Reputation Systems
Information used in Intelligence analysis varies in its reliability and accuracy, at least due in part to the reliability of the sources used to obtain it. Trust in the reliability and accuracy of the evidence can be improved by collecting the same information from a number of different independent sources. Reputation Systems can show that source reliability can be captured and developed and that the formal calculus offered by Subjective Logic can be used to determine reliability and accuracy of information, based on the source reliability and the information paths that are traversed.

5. AusPlans
Augmented Synchronised Planning Spaces (AUSPLANS) is a Defence domain project coordinated by DSTC SA. The project focuses on support for intense collaboration activities within Defence Command and Control Environments through the rapid augmentation and enablement of physical workspaces using emerging ubiquitous computing and human interaction technologies.

6. Collaborative Real-time Annotation of High Quality Images & Video
Annotations provide significant value-add to resources through the attachment and sharing of community or group knowledge. DSTC's Vannotea software enables distributed groups of users to collaboratively view, discuss and annotate high quality video and images (2D/3D) in real time, within a videoconferencing environment. Annotations can be attached to regions of images, video segments, keyframes or regions of keyframes and can be saved for later retrieval. The system is of particular interest to the defence community to enable the annotation of surveillance images and video.

7. Knowledge Mining over Distributed Multimedia Databases
DSTC's FUSION technology application combines workflows and web services to systematically capture and process high quality data, metadata and provenance. Ontologies and inferencing rules are used to analyse, semantically label and correlate the range of data and media types. Finally sophisticated 3D data exploration and hypothesis testing interfaces enable the development and refinement of predictive models and the generation of new experimental designs through statistical analysis of existing data. These tools enable controlled capture of observational data so that the maximum knowledge can be mined and re-used.

8. The Grid: Blueprint for a New Computing Infrastructure
Grids couple geographically distributed resources such as high-performance computers, workstations, clusters of computers, data repositories and scientific instruments. They have begun to provide the infrastructure to support global collaboration in ways that were not previously possible by facilitating the construction of virtual organizations. DSTC's technology applications - Nimrod and GriddLeS - demonstrate how such tools are being used for running distributed atmospheric science codes over high-bandwidth networks such as the GrangeNet backbone. DSTC is considering potential applications in the area of security and defence.