Our Impact: Outreach & Events

Making research accessible through visual stories, demos, and events. 

  • Our Impact: Collaboration

    Working together to provide advanced visualization and transform research data into understanding.

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  • InfraVis at the Industry Premiere of Darkness Matters

    InfraVis recently joined the industry premiere of the dome film Darkness Matters by Costanza Julia Bani at m:brane in Malmö. InfraVis contributed to the…

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  • Our Impact: Science & Discovery

    Cross-disciplinary visualization that drives new scientific insights.

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  • Our Impact: Society & Culture

    Visualizations that support research in humanities and social sciences.

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  • Our Impact: Environment 

    Tools that help researchers explore sustainability, climate patterns, and environmental change.

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  • Our Impact: Health

    Visualization that advances medical training, research, and clinical understanding.

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  • InfraVis National Newsletter Issue #13

    Read the latest InfraVis newsletter, fresh from the press.

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  • InfraVis at HALRIC final conference

    Cross‑border data collaboration is essential for unlocking the full value of major research infrastructures. The final HALRIC conference highlighted how coordinated expertise from QIM…

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  • InfraVis at the Ocean Sciences Meeting in Glasgow

    InfraVis contributed to the Ocean Science Meeting in Glasgow, where Helena Filipsson and colleagues presented work on artificial cod reefs, VR‑based marine outreach, and…

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  • Workshop: Visualize your research using Python

    Welcome to this half day workshop 11 March that will cover the Python tools you need to visualize your research. Register here.

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  • Human Timeline

    Human-Timeline is an interactive React and PlotlyJS application that visualizes the coevolution of human culture , diverse life species and environmental factors across vast…

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  • Workshop: NodeGoat

    Welcome to this workshop in NodeGoat offered by InfraVis and CDHU 19 March 2026. NodeGoat is a web-based instrument designed for visualizing data from…

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