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.
Welcome to this half day workshop 11 March that will cover the Python tools you need to visualize your research. Register here.
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 the social sciences and humanities across space and time. It enables users to map, connect, and analyze data, as well as to share research results in an interactive way.
Planning to apply for support for a research project? You can now easily express your interest for InfraVis in your grant application by simply selecting us from the dropdown menu for national infrastructures in the Swedish Research Council (Vetenskapsrådet) application form.
InfraVis presented two posters at the 37th MAX IV User Meeting in January 2026.
Two InfraVis nodes were represented at this year’s COMPUTE meeting at Lund University, an event aimed at all COMPUTE members and COMPUTE associates. The theme of the event was Computational work in the public sector and industry.
InfraVis, together with NAISS UPPMAX, HPC2N, and LUNARC is providing an introduction to Python and Using Python in an HPC environment. Dates: 27-28 November & 1-2 December 2025.
Emanuel Larsson, InfraVis node coordinator at Lund University, delivered a presentation at the Lund University Science Days on 19–20 November.
Linnéa Tjernström from the InfraVis node at Umeå University presented InfraVis at the HumInfra Concerence in Stockholm.
Welcome to this workshop in NodeGoat offered by InfraVis and Humlab 2 December 2025. NodeGoat is a web-based instrument designed for visualizing data from the social sciences and humanities across space and time. It enables users to map, connect, and analyze data, as well as to share research results in an interactive way.
GIS workshop at Uppsala University 6 November held by InfraVis application expert Vasiliki Tsoumari.