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Funding Highlights Provenance Sensemaking Visual Analytics

VALCRI – Visual AnaLytics for sense-making in CRiminal Intelligence analysis (2014-2018, €13 million)

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.

http://valcri.org/

VALCRI-dashboard

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Funding Highlights Provenance Sensemaking Visual Analytics

TimeSets: Timeline visualisation for provenance-based big data sensemaking (2016, £100k)

A data visualisation project to address the data quality and lineage issues in sensemaking using provenance, using the TimeSet technique.

timeset

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Funding Highlights Sensemaking Visual Analytics

Patterns of Life Visualisation (Phase 1 – 2014, £90K, Phase 2 – 2014-2015, £120k)

The project designs, implements, and evaluates new Visual Analytic tool for Pattern-of-Life analysis, which tries to understand and predict movement patterns of individuals or small groups.

pattern-of-life

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Data & Knowledge Funding Highlights Provenance Sensemaking Visual Analytics

Open-Source Big Data Insight (2014-2015, £80k)

A project to build the Big Data infrastructure /Data Lake for the visual analysis of open-source intelligence data.

open-source-big-data

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Funding Highlights Sensemaking Visual Analytics

High-Dimensional Visualisation for Big Data (2014-2015, £20k)

A data visualisation project to understand how interactive projection technique can help user improve their understanding of data with very high dimensionality.

cgi-report

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Data & Knowledge Funding Highlights Invited talks Networks Provenance Sensemaking Social media Visual Analytics

Invited Talk at the Data Visualisation Workshop

The workshop is organised by the Creative Industry Knowledge Transfer Network and was held at the Nesta in London. The workshop had some excellent speakers and I am quite honoured to be invited. Below are the presentation slides.

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Data & Knowledge Funding Highlights Sensemaking Visual Analytics

Funding: Multiple Source Information Assimilation to Support Decision-Making (2013-2015, £200k)

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.

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Funding Invited talks Provenance Social media Visual Analytics

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.

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Funding Highlights Networks Provenance Sensemaking Visual Analytics

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.

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Funding Visual Analytics

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.