Each year, researchers are granted funding through TAIGA's eight focus areas to carry out micro-projects with the potential to advance transdisciplinary AI research.
Below you'll find a list of ongoing and previous microprojects.
Ongoing 2025
"Opportunities and Challenges of Using Large Language Models in Educational Processes – A Qualitative Study of Dynamic Learning Interactions" Focus area: Education and AI Main applicant: Eva Mårell-Olsson
"Investigating Students' Utilization of ChatGPT in Academic Endeavors: Insights and Perspectives" Focus area: Education and AI Main applicant: Eva Mårell-Olsson
“AI-assisted inference of functional connectivity and computational logic in cortical microcircuits” Focus area: AI in Health and Medicine Main applicant: Luciano Censoni
"Co-creation of AI-powered behaviour change support for older adults’ self- management of physical activity" Focus area: AI in Health and Medicine Main applicant: Beatrice Pettersson
"Temporally-Aware generation of Lung CT scans: A new approach for Monitoring Cancer Progression" Focus area: AI in Health and Medicine Main applicant: Francesco di Feola
"Transdisciplinary Artificial Intelligence (TrAI): An Exploration of Researchers’ Competencies and Mechanisms" Focus area: Understanding AI Huvudsökande: Henry Lopez Vega
Completed 2025
"AI Artist Researcher in Residence at UmArts, Cyanne van den Houten" Focus area: Art and AI Main applicant: Ylva Fernaeus, Ele Carpenter
"Transdisciplinary Energy & Social Simulation Models for Sustainable Urban Development (TESSim4City)" Focus area: Social AI Main applicant: Loïs Vanhée
"AI minority silencing: Minority language models and digital communication practices of young Meänkieli speakers in Sweden" Focus Area: CELS AI Main applicants: Moa Eriksson Krutrök, Pär Poromaa Isling
"That's how I meant to write it" Focus area: Understanding AI Main applicant: Kirk Sullivan
Completed 2023
"Vector cultures: a media history of algorithmic models" Focus area: Understanding AI Main applicant: Johan Malmstedt
"Large Language models for human interaction (LLM4HRI)" Focus area: Embodied Interactive AI Main applicant: Thomas Hellström, Niclas Kaiser
"Developement of local resources: Brain imaging for gained knowledge of human-AI interaction" Focus area: Embodied Interactive AI Main applicant: Niclas Kaiser, Thomas Hellström
"Exploring ChatGPT and Teaching Analytics as Learning Tools to Enhance Reflective Teaching in Swedish Teacher Education" Focus area: Education and AI Main applicant: Eva Mårell-Olsson,Peter Bergström
