InfraVis Open Call for Applications 2024
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InfraVis Open Call 2024 - Decision has been made
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.The demand for InfraVis support has increased to the point that it is now necessary to provide the support over an extended period. A core mission of InfraVis is to establish collaborative links with other national research infrastructures. Towards this goal, InfraVis has strategically selected projects that will build strong connections to Onsala Space Observatory, the National Genomics Infrastructure, Swedigarch, and Språkbanken. Our InfraVis node coordinators are now in the process of arranging the first meetings with the users and look forward to start supplying the support.
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Visualizing literacy of school children
InfraVis user: Åke Grönlund (ORU),
Gustaf Öqvist Seimyr (KI),
Olga Viberg (KTH). InfraVis Application Experts: Liang Zhou (MIUN),
Filip Berendt (KTH),
Sergey Ignatenko (LiU)
InfraVis node coordinator: Mario Romero Vega (KTH).
Literacy is essential to modern life. Gustaf Öqvist Seimyr, a researcher at Karolinska Institutet (KI) in
Stockholm, co-founded the company “Lexplore” to create a platform that
uses eye-tracking technology and artificial intelligence to help
teachers assess their students’ literacy levels more accurately. To deliver user-friendly, location-independent visualizations, we developed a web app using D3.js for data visualizations and React for the interface, hosted on GitHub Pages or a web server. Due to confidentiality, users upload their own data locally. Development followed an iterative approach, with features refined based on user feedback to ensure relevance and usability. Each final visualization feature is documented concisely for clarity.
Read more about the projects on InfraVis.se
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Explore the Nordic Churches and Prayer Houses Project
InfraVis user: Stefan Gelfgren, Andreas Tjomsland. InfraVis Application Experts: Kajsa Palm (UMU), Maria Podkorytova (UMU)
InfraVis node coordinator: Evelina Liliequist (UMU).
We are excited to share a groundbreaking resource for researchers in religious studies. This project documents and preserves the rich historical heritage of churches and prayer houses across the Nordic region, offering a valuable tool for in-depth study. What’s Included? - A unified dataset of churches and prayer houses in Norway and Sweden, with plans to expand to other Nordic countries.
- An interactive web application built with ArcGIS, featuring filters by religious affiliation, time periods, and a dynamic timeline for exploration.
- Guidelines to ensure the dataset’s growth and sustainability for future research.
Explore the results and try the interactive tool here: nordpow.humlab.umu.se | | | |
InfraVis Days in Lund5-7 November 2024, the Lund
University node hosted the bi-annual InfraVis Days, where our vibrant
community gathered for three days of insightful discussions, workshops,
and networking. With sessions at BMC, the Humanities Lab, Ingvar Kamprad's Design Center, and MAX IV,
each venue added a unique dimension to the event. A big thank you to
the organizers, participants, and InfraVis users who made these days
both enriching and enjoyable. Together,
we shared knowledge and built connections that will inspire further
collaboration. Looking forward to what we will accomplish together! Next InfraVis Days will happen spring 2025 at Mid Sweden University.
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InfraVis Colloquium on Information Visualization
19th November 2024 Uppsala University arranged a session on
Information Visualization, where the renowned professor Professor
Alexandru C. Telea, Utrecht University, The Netherlands, was invited to
teach.
High-dimensional data is central to a multitude of application
fields. At the same time, visually exploring such data is one of the
largest challenges in information visualization due to our inherent
inability to depict more than three dimensions. In this colloquium, an
overview of techniques that have been developed over the years were
presented.
The colloquium was structured into two parts. In the first part,
classical techniques for visualizing data with a limited number of
dimensions were discussed, and in the second part the focus shifted to
dimensionality reduction (DR) techniques, which are among the most
scalable tools for high-dimensional data visualization. The potential of
DR was demonstrated through recent applications in explainable AI.
| | | | Visualization Hackathon
A recent two-day
hackathon in Lund organized by InfraVis, LINXS, and the QIM Centre brought together researchers from diverse backgrounds to explore how
image processing and immersive visualization can revolutionize data
analysis from X-ray and neutron tomography. With
hands-on tutorials in tools like Python, 3D rendering, Virtual Reality,
and Augmented Reality, participants - including many new to image
analysis - discovered the power of automated data processing and
visualization. The event inspired researchers to move beyond traditional
approaches, uncover hidden insights, and foster cross-disciplinary
collaboration. Special thanks to all the organizers and Lund University, for creating a welcoming, inspiring environment! LINXS Institute of advanced Neutron and X-ray Science has published a longer feature on this event.
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InfraVis Open HearingWe are delighted to having hosted such a
well-visited open hearing for InfraVis in the beginning of October.
Around 40 participants from all over Sweden joined the session.
We
are preparing an application for funding from the Swedish Research
Council for the period 2027-2030 and are very grateful for all the
valuable input we received.
| Meet the InfraVis Application Experts
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Emin Zerman, MIUN
Expert in multidimensional data
visualization
Emin focuses on transforming complex and
multidimensional datasets into intuitive and immersive visual formats.
Leveraging his expertise in point clouds, light fields, and information
visualization, Emin enables researchers to explore data in novel ways,
fostering better insights and outcomes through advanced visualization
techniques.
Keywords: Python, Matlab, C++, Data Visualisation, Extended Reality, Image and Video Processing, Computer Vision Immersive Video Technologies, Light Field, Volumetric Video, Quality of Experience (QoE), User Experience, Human-Computer Interaction, Human Visual Perception
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Greetings from InfraVis Director Monica Billger and Management Team
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As we wrap up another year, we are thrilled
to celebrate what we have accomplished together. This year, we have had the
honour of supporting researchers from diverse fields, contributing to important
advancements that push science and innovation forward. Your work inspires us,
and it is a privilege to be part of the process.
Now, as we enter our fourth operational
year, we are proud of the progress we have made in InfraVis. With routines and
processes starting to take shape, we are becoming a more established
infrastructure. Still, there is plenty of room to grow, and we are excited to
continue learning, improving, and building with you by our side.
Happy holidays to all of you! Looking
forward to continuing working together next year.
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