Visiting Daniel Keim’s Visual Analytics Group at University of Konstanz in Germany

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.

2012-2013, Co-Investigator, Data Intensive Visual Analytics (DIVA), £220,000

This is jointly funded by the UK Research Council EPSRC (Engineering and Physical Sciences Research Council) and Defence Science and Technology Laboratory (dstl).

diva-screenshot

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, £720,000 (US$1.2M)

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.

2007-2008, NICTA representative for ARC Research Network in Enterprise Information Infrastructure, A$100,000

2007-2008, A$100,000 (US$100,00/£60,000), NICTA representative for ARC Research Network in Enterprise Information Infrastructure, Australia

2005-2006, co-investigator, Network Analysis and Visualisation Taskforce, ARC Research Network in Enterprise Information Infrastructure, A$33,000

2005-2006, A$33,000 (US$ 33,000/£20,000), co-investigator, “Network Analysis and Visualisation Taskforce”, ARC Research Network in Enterprise Information Infrastructure, Australia.