InfraVis call 2026
InfraVis Call For Visualization Support is open throughout October 2026.
Welcome with your application!
Author: Julius Häger
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CT Sinogram Visualiser
InfraVis helped develop a real-time visualisation tool for complex CT scan data (sinograms), allowing researchers to spot measurement issues early, identify areas of interest, and reduce the need for time-consuming reconstructions during imaging experiments.
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Darkness Matters
Darkness Matters is a fulldome documentary and research project offering a meditative journey through natural darkness bringing awareness about the increasing issue of light pollution. Costanza Julia Bani contacted InfraVis with the goal of bringing a future perspective on the light pollution issue.
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VIAMD (Visual Interactive Analysis of Molecular Dynamics)
VIAMD (Visual Interactive Analysis of Molecular Dynamics) is an innovative open-source software designed to enhance and streamline the analysis of molecular dynamics (MD) simulations.
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Visualizing physical interactions of molecules in macromolecular scale
The research group led by Ilaria Testa (KTH, SciLife Lab) has developed a novel method for measuring the rotation of molecules in a solution.
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Our Impact: Outreach & Events
Making research accessible through visual stories, training, workshops, and public events. This expands access to science, deepens understanding, and strengthens the role of research in society.
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Our Impact: Science & Discovery
Cross‑disciplinary visualization that opens new scientific frontiers by making otherwise unattainable insights possible.
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Our Impact: Society & Culture
Visualizations that transform complex data in the humanities and social sciences into analytical insight, enabling deeper interpretation and supporting new, data‑driven research approaches.
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Our Impact: Environment
Tools that transform climate and environmental data into evidence‑based insight. This supports policy, strategic decisions, and sustainability planning.
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Our Impact: Health
National access to advanced visualization for data‑intensive medical research. Researchers gain hands‑on access to distributed expertise to interpret complex data, develop visual analysis methods, and generate insight with direct clinical relevance
