Open-Source Big Data Insight (2014-2015, £80k)
February 15, 2015 Leave a comment
A project to build the Big Data infrastructure /Data Lake for the visual analysis of open-source intelligence data.
Making Sense of Data
February 15, 2015 Leave a comment
A project to build the Big Data infrastructure /Data Lake for the visual analysis of open-source intelligence data.
September 1, 2014 1 Comment
I am co-chairing a workshop on Provenance and Sensemaking at the IEEE VIS conference week in Paris. The submission deadline has now passed, but you can still join the discussions at the workshop during the conference. Hope to see you there!
August 2, 2013 Leave a comment
The paper is accepted by the VAST 2013 conference and will appear in the IEEE Transactions on Visualization and Computer Graphics. It provides visualisation for different uncertainties in Human Terrain Analyisis and a way to construct narratives of the visual exploration discoveries. PDF
April 16, 2012 Leave a comment
This is jointly funded by the UK Research Council EPSRC (Engineering and Physical Sciences Research Council) and Defence Science and Technology Laboratory (dstl).
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.