This is a very large project funded by the European Commission, with about 20 partners and 100 personnel in many EU countries. The goal is to develop the next generation visual analytics system to address the Big Data challenges in the policing and criminal intelligence analysis.
A data visualisation project to address the data quality and lineage issues in sensemaking using provenance, using the TimeSet technique.
A £200k two-year project funded by the Defence Human Capability Science & Technology Centre. The project applies Visual Analytics technique to support sense making in intelligence analysis and I will be working with collaborators from BAE systems, MASS, and Cranfield university.
With the support from the EU Erasmus funding, I spend a week at the Visual Analytics group led by Prof. Daniel Keim, who is the leading expert on this topic. Konstanz is a nice city in southern Germany, and very busy in summer because of its location and lake. I will definitely want to go back and spend a bit more time there. Below is the talk I gave there about the Data- Intensive Visual Analytics (DIVA) project.
Besides the Middlesex University, there are three other partners in the research consortium: City University (principle investigator), Loughborough University, and Defence Science and Technology Laboratory (dstl).
The project aims to design and develop novel Visual Analytics techniques to address the data quality and uncertainty issues commonly encountered in Social Media analysis. Examples of such issues include the reliability of data source, errors and missing data, artefacts introduced by the analysis algorithms, and human bias in the decision making process. An important part to the solution will be the ‘provenance’, which is the detailed information of the entire decision making life cycle from data collection to reasoning and sense making. Provenance is expected to play a key role in identifying and tracking the data quality and uncertainty issues mentioned previously.
The initial application will be Human Terrain Analysis that provides Army troops with social insights into local population by integrative analysis of social media (e.g., Twitter) together with a range of other intelligence information (e.g., demographics). The results of Human Terrain Analysis will allow the ground troops to choose the appropriate engagement strategy with local communities and avoid any unnecessary confrontation and loss of life. The research outcomes are expected to later extend to other domains such cyber security, finance, and public health.
2011-2012, co-investigator, UK Visual Analytics Consortium Phase 2, £720,00 (US$1.2M). Funded by Ministry of Defence, UK and Department of Homeland Security, US. Consortium includes 5 leading UK universities: Bangor University, Imperial College, University College London, Middlesex University, and University of Oxford.