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Highlights Papers Provenance Sensemaking Visual Analytics

TimeSets: Temporal sensemaking in intelligence analysis

IEEE Computer Graphics and Applications (CG&A) 2020 TimeSets is a temporal data visualization technique designed to reveal insights into event sets, such as all the events linked to one person or organization. In this paper we describe two TimeSets-based visual analytics tools for intelligence analysis. In the first case, TimeSets is integrated with other visual […]

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Highlights Papers Provenance Sensemaking Visual Analytics

Putting the ā€œiā€ in interaction: Interactive interfaces personalized to individuals

IEEE Computer Graphics and Applications (CG&A) 2020 Interactive data exploration and analysis is an inherently personal process. One’s background, experience, interests, cognitive style, personality, and other sociotechnical factors often shape such a process, as well as the provenance of exploring, analyzing, and interpreting data. This viewpoint posits both what personal information and how such personal […]

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Services Visual Analytics

Director of the UK Chapter of the EuroGraphics Association (EGUK)

I am elected a Director for the UK Chapter of the EuroGraphics Association (EGUK), which is the leading UK professional organisation for everything Computer Graphics-related, including game, AR/VR, and data visualisation.

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Machine learning Provenance Sensemaking Services Visual Analytics

Co-chair for Machine Learning from User Interactions for Visualization and Analytics (MLUI 2020)

I am co-chairing the Machine Learning from User Interactions for Visualization and Analytics (MLUI) workshop this year. It is part of VisWeek 2020, which is the leading international conference on Visualisation (computer graphics, data visualisation, and visual analytics). The workshop is completely online this year, and you can find all the information on its website.

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Services Visual Analytics

PC co-chair for Computer Graphics and Visual Computing (CGVC) 2020

The Computer Graphics and Visual Computing conference is the UK conference on everything Visualisation related, including graphics, games, AR/VR, and data visualisation. This year’s conference is completely online because of the covid19. There is more information on the conference website.

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Students

Xiaolei Liu, Master by Research in Data Science

Natural Language Processing for Solar Cell Material.

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ex-member

Vaidehi Gupta, 2018-2020, research intern

Technical Staff at Oracle

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Provenance Sensemaking Services Visual Analytics

Guest editor for special issue on “Provenance analysis for sensemaking” ( IEEE Computer Graphics and Applications)

This special issue covers research that analyses provenance to better understand how users do sensemaking (information triage, foraging, reasoning, and hypothesis forming and testing). The detailed scope can be found in the Call for Paper. The special issue is now published as part of this issue of IEEE Computer Graphics and Application.

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Highlights Provenance Sensemaking Visual Analytics

Provenance analysis for sensemaking

IEEE Computer Graphics and Applications 2020 This is the introduction I wrote (with the other co-editors) for the special issue on Provenance Analysis for Sensemaking in the IEEE Computer Graphics and Applications. This special issue reports the outcomes from the Dagstuhl Seminar I co-organised a year earlier on the same topic. https://ieeexplore.ieee.org/document/8889811

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Papers Provenance Sensemaking Visual Analytics

Provenance and logging for sense making

Dagstuhl Reports 2019 This the report for the Dagstuhl Seminar I co-organised. Sense making is one of the biggest challenges in data analysis faced by both the industry and the research community. It involves understanding the data and uncovering its model, generating a hypothesis, selecting analysis methods, creating novel solutions, designing evaluation, and also critical […]