Our research

Research at Media and information technology

The Division for Media and Information Technology (MIT) conducts world-leading, human-centered research in core areas including visualization, computer graphics, and interactive AI.

We focus on interdisciplinary development of fundamental methodologies that combine human insight with advanced computing and machine learning techniques to responsibly address complex, real-world data challenges. By collaborating closely with domain experts in life science, physics, and engineering, MIT successfully translates this work into advanced software and enables innovation across industry and public sectors, driving solutions for sustainable development and fair technology application.

Research units

Image collage for applied vizualisation

Applied Visualization

We conduct internal and external production development with the goal of combining research data and visualization technology for improved science communication and use beyond research, with a focus on the public, schools and business.

Computer generated image of a living room

Computer Graphics and Image Processing

The computer graphics and image processing group is driving a number of research projects directed towards the development of theory and methodology for image capture, image analysis and image synthesis.

People watching a big screen

Immersive Visualization

The Immersive Visualization Unit researches and develops various techniques to create an immersive and captivating visualization of data using large-scale display systems, such as immersive domes and stereoscopic vision (3D).

Graphics

Information Visualization

The group focuses on the explorative analysis and visualization of typically large and complex information spaces. We develop novel interactive visualization methods and tools that are able to efficiently support analysts from various domains.

Illustration of Norrköping by Motala ström and people in the environment

Visualization and Interaction Design

We explore new ways for people to interact with data, technology, and digital materials in meaningful ways. Our research draws from a plurality of approaches and disciplines in order to understand and (re)shape our digital lives.

Haptics

Scientific Visualization

We develop novel analysis, visualization and exploration techniques for a better understanding and communication of large data.

Ett metallföremål med tre kulor som hänger från sidorna.

Visual and Interactive AI

We work at the intersection of computer graphics, AI-driven visualization, computer vision, and machine learning to address complex scientific challenges.

People standing around a model of earth

Visual Media Communication

We conduct interdisciplinary research in visual communication, graphic design, science communication, and visual storytelling. Our work explores how visual media can convey complex information and engage with society in a time of change.

Visualization of nanoparticles

Visual Learning and Communication

Our research concerns learning and teaching science through visualization, with a focus on STEM contexts and on both learning with visualizations and the design of visualization-based educational tools.

Showtime in The Dome, Visualiseringscenter C, city of Norrköping.

C-research

C-research is a center for coordination of visualization research and for using visualization in research and education. It represents Linköping University in the Visualization Center C context.

Research collaborations

Publications

The latest doctoral theses

2026

Jimmy Hammarbäck (2026) Team Intentionality by Design: A Framework for Joint Human-Technology Activity (Doctoral thesis, comprehensive summary) https://dx.doi.org/10.3384/9789181186598
Peilin Yu (2026) TRACES: Temporal Reasoning and Visual Analysis of Complex Event Sequences (Doctoral thesis, comprehensive summary) https://dx.doi.org/10.3384/9789181186888
Farhan Rasheed (2026) Topology-Driven Visual Analysis of Structures in Dynamic Spatial Data (Doctoral thesis, comprehensive summary) https://dx.doi.org/10.3384/9789181184723

2025

Emilia Ståhlbom (2025) Visualization for genomics data review in clinical contexts: Analyzing large, sparse data with multilevel structures (Doctoral thesis, comprehensive summary) https://dx.doi.org/10.3384/9789181182286
Derya Akbaba (2025) Shifting Perspectives: Conducting Visualization Research with Entanglement Epistemology (Doctoral thesis, comprehensive summary) https://dx.doi.org/10.3384/9789181181654

Our latest publications

2026

Mina Mani Kashani, Hazal Yilmaz, Jonas Löwgren, Konrad Schönborn (2026) Tracing carbon in the classroom: co-designing lesson plans for supporting systems thinking CHEMISTRY TEACHER INTERNATIONAL (Article in journal) https://dx.doi.org/10.1515/cti-2026-0047
Jimmy Hammarbäck (2026) Team Intentionality by Design: A Framework for Joint Human-Technology Activity (Doctoral thesis, comprehensive summary) https://dx.doi.org/10.3384/9789181186598
Fabrice Frank, Elisabeth M. Bik, Gideon Meyerowitz-Katz, Jerome Barriere, Eric Billy, Veronique Saada, Alexander Samuel, Jacques Robert, Lonni Besançon (2026) Follow-up investigation of ethics approvals and regulatory compliance in publications from the IHU-Mi RESEARCH INTEGRITY AND PEER REVIEW, Vol. 11, Article 42 (Article in journal) https://dx.doi.org/10.1186/s41073-026-00234-x
Ana Sliskovic, Birgit Pauksztat, Lijun Tang, Ioannis Katsounis, Senka Sekularac-Ivosevic, Helen Devereux, Gesa Praetorius (2026) Career plans and seafaring intentions among maritime students in China, Greece, Croatia, Montenegro, and the United Kingdom: A cross-national comparative study WMU Journal of Maritime Affairs (JoMA) (Article in journal) https://dx.doi.org/10.1007/s13437-026-00436-6
Sofia Jarkman, Martin Lindvall, Claes Lundström, Darren Treanor, Jeroen van der Laak (2026) Designing AI tools for Pathology: A mixed-method study on user interfacedesign for breast cancer lymph node metastases detection Intelligence-Based Medicine, Vol. 14, Article 100396 (Article in journal) https://dx.doi.org/10.1016/j.ibmed.2026.100396
Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman (2026) Exploring Content-Driven Axis Compression for Visualization of Heterogeneous Data IEEE Transactions on Visualization and Computer Graphics, Vol. 32, p. 6623-6634 (Article in journal) https://dx.doi.org/10.1109/TVCG.2026.3685502
Per Norstrom, Charlotta Nordlöf, Jonas Hallström, Konrad Schönborn (2026) Can role-play play a role in authentic learning? Investigating two pre-university engineering education design projects European Journal of Engineering Education (Article in journal) https://dx.doi.org/10.1080/03043797.2026.2694549
Peilin Yu (2026) TRACES: Temporal Reasoning and Visual Analysis of Complex Event Sequences (Doctoral thesis, comprehensive summary) https://dx.doi.org/10.3384/9789181186888

Organisation