Category: Provenance
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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/
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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.
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Timesets: Timeline visualization with set relations (Information Visualisation journal 2016)
This paper describes a new method designed for temporal visualization with ‘set’ information. Here the ‘set’ can be different ‘theme’ or ‘topic’, such as person, location, organisation, etc. It was selected as the journal cover! More information here
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Sensepath: Understanding sensemaking process through analytic provenance (TVCG 2015)
The paper is accepted at VAST 2015, and later appeared in the journal TVCG. It introduces a new tool that can save a lot time doing the transcription and coding when analysing the data collected from qualitative studies such as thematic analysis. More details here
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Analytic Provenance for Sensemaking: A Research Agenda (CG&A 2015)
This is the outcomes from the analytic provenance workshop organised at VIS 2014. It provides an overview of the research related to analytic provenance and the challenges/open problems it faces (a lot). PDF (IEEE digital library Xplore)
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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.
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Provenance for Sensemaking Workshop at IEEE VIS 2014 (Paris, France)
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!
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TVCG/VAST 2013: An Extensible Framework for Provenance in Human Terrain Visual Analytics
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
Human-AI Collaboration 
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