InfraVis Days in Sundsvall
Twice per year, InfraVis gathers at one of the nodes (partner universities) for knowledge exchange. This time Mid Sweden University is the host and there will be workshops, presentations, and meetings.
Author: Katharina Beckmann
Join Our Team: Associate Researcher in Machine Learning
Lund University seeks an Associate Researcher in Machine Learning to join InfraVis & CIPA, supporting interdisciplinary research through AI-driven data analysis and visualization. This full-time, permanent role offers career growth, collaboration with experts, and generous benefits. Apply now to contribute to cutting-edge research in a world-class academic environment!
Workshop export
The hackathon that InfraVis arranged together with LINXS and QIM proved to be so inspiring and successful that it has steered up the interest to organize a similar LINXS Workshop in Ljubljana, Slovenia.
David Alfter
Application Expert
InfraVis at MAX IV User Meeting
InfraVis was honored to have been invited to the 36th MAX IV user meeting to deliver a 45-minute plenary presentation, shared by Anders Ynnerman and Kajsa M Paulsson, showcasing InfraVis and underscoring the critical role of scientific data visualization.
Results from InfraVis Open Call
InfraVis can proudly announce that we received a wide variety of applications to our 2024 open call for in-depth support: 37 high-quality applications from 25 scientific domains, of which 26 have been granted in-depth support.
InfraVis Colloquium Recap: Tackling High-Dimensional Data Visualization
19th November Uppsala University arranged a session on Information Visualization, where the renowned professor Professor Alexandru C. Telea, Utrecht University, The Netherlands, was invited to teach.
NordPow
The project’s primary objective is to create a comprehensive Nordic resource for researching churches and prayer houses. At the same time, it seeks to document and preserve the rich historical heritage associated with these religious sites across the Nordic region. The primary audience for this initiative is researchers specializing in religious studies. Currently, the dataset includes information on churches and prayer houses in Norway and Sweden. However, the project aims to expand to cover other Nordic countries in the future, further enhancing its value as a research tool.
Vanilla JS
Flexiboar is, a customizable dashboard for time series data, offering 3 diagrams options: line graph, combined with parallel coordinates shape, then Heatmaps diagrams adapted to calendar views, and finally Horizon graphs.
Python Flask/SQLite for back end and APIs
Python Flask is a great option for building server APIs linked to databases. SQLite is a great option for small datasets and doesn’t need specific ddbb maintenance, since SQLite comes with Python.