Describing mid-level support projects.
Human-Timeline is an interactive React and PlotlyJS application that visualizes the coevolution of human culture , diverse life species and environmental factors across vast timescales. Inspired by SIMILE’s TimePlot and TimeLine patterns, it combines stacked timelines with dual-axis plots so users can see discrete events, continuous measurements, and contextual periods in one place.
Brain surgery requires extreme precision, which makes realistic training essential. This project was created to improve practice conditions for a procedure where a catheter is inserted into the brain’s ventricles to relieve fluid buildup. The training setup uses a 3D‑printed skull and a Jello‑based artificial brain that mimics real tissue. InfraVis contributed by redesigning and producing key 3D‑printed components, developing scaffolds to hold the brain model securely, and creating lightweight motion‑capture attachments for tracking skull and catheter movements. InfraVis also supported the design of a replaceable membrane that simulates the moment of puncturing ventricle tissue, enabling more accurate and repeatable training.
Welcome to the Sport and Outdoors Sustainable Accessibility Map – an innovative tool designed to explore, help understand and improve sustainable accessibility to sports and outdoor activities throughout Sweden.
QuarryGIS is an interactive environmental visualization and benchmarking tool built to make quarry and construction sector impacts tangible for producers, clients, and planners.
This project focused on crowd sourced urban data collected from Tyck Till an app developed by Stockholms Stad where users can leave feedback and report errors in the city. The data contains approximately 800 000 georeferenced reports in various categories. The goal of this project was to facilitate interactive exploration of this data through filtering and navigation.
The aim of the project is to produce the novel interactive tool “GenomeLens”, that uses genome sequencing data to visualize genetic variation along chromosomes within and between populations.
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.
Displaying many dimensions of a dataset simultaneously presents its set of challenges. One way of going about dealing with these challenges is to present each data point, each “row” if you will, as a line across all axes parallel to each other. This project aim to provide a solution for any such dataset.
This project focused on developing a user-friendly and accessible pipeline for producing 3D models or ‘meshes’ from volumetric datasets, specifically for this case, in the domain of biology.
This project aims to showcase the current theory for the dynamics of pollen grains inside the anthers of certain flowers, when bumblebees interact with them. This phenomenon is called ‘Buzz Pollination’.
