Visitors at UPSC’s automated tree phenotyping facility.
During the visit, the AI For Science team saw examples of the advanced research infrastructure used in forest research. Here, the group visits UPSC’s automated tree phenotyping facility. Photo: Susheel Sagar Bhat

AI expertise to strengthen data-driven research within WIFORCE

News published:  01/10/2026

How can AI help researchers gain more knowledge from large and complex datasets from forests? Over two days, experts from AI For Science and researchers within Wallenberg Initiatives in Forest Research met to explore how AI can contribute to research across the programme.

Modern forest research generates large and complex amounts of data – from long-term measurements of forests, soils, water and the atmosphere to genetic data, images and information about entire forest landscapes. Creating better ways to manage, combine and analyse such data is an important part of developing the WIFORCE Data Support Centre.

WIFORCE will now also have access to AI expertise from AI For Science, which provides expertise to research groups funded by Knut and Alice Wallenberg Foundation, Marcus and Amalia Wallenberg Foundation and Marianne and Marcus Wallenberg Foundation. Its experts work alongside researchers to apply AI methods to scientific questions.

“I hope we can help accelerate important insights across all areas of WIFORCE. Everyone on our team has a PhD in computational science, but none of us are forest experts. The forest researchers bring their expertise, and together we can open up entirely new kinds of insights,” says Salla Franzén, CEO of AI For Science.

Salla Franzén outdoors in Umeå.
Salla Franzén, CEO of AI For Science. Photo: Anne Honsel.

From measurements in the forest to large datasets

To give the AI experts an understanding of the research and where the data come from, the visit began at SLU’s Svartberget Research Station outside Vindeln. Large amounts of data are continuously collected there using advanced sensors and measuring instruments – from how forests exchange carbon dioxide and water with the atmosphere to what happens in soils, groundwater and streams.

The following day, the work continued in Umeå. During a workshop, researchers presented examples of data-driven research, the types of data they work with, and their needs for analysis and modelling. AI For Science, in turn, presented its expertise and examples of how the team works with researchers to solve scientific problems using AI.

Hjalmar Laudon with visitors from AI For Science in the forest at Svartberget.
The AI For Science team visited the research environments at Svartberget to learn more about the research and how data are collected in the field. Here with Hjalmar Laudon, Deputy Programme Director of WIFORCE. Photo: Susheel Sagar Bhat

AI expertise for WIFORCE

WIFORCE has access to expertise from AI For Science equivalent to 1.5 full-time positions. The expertise will be used, among other things, in projects with WIFORCE researchers while also contributing to the development of the WIFORCE Data Support Centre.

By working with datasets that researchers need, AI For Science can help develop approaches for how data can be used, combined, and structured to enable new analyses and modelling.

“AI For Science is an exceptionally skilled organisation supporting the strategic research initiatives funded by Knut and Alice Wallenberg Foundation. Their expertise will be extremely valuable to us, both in developing the Data Support Centre and in projects with our researchers,” says Ove Nilsson, Programme Director of WIFORCE.

AI For Science

AI For Science provides AI expertise to research groups with ongoing grants from Knut and Alice Wallenberg Foundation, Marianne and Marcus Wallenberg Foundation and Marcus and Amalia Wallenberg Foundation.

Research groups can apply for support through the KAW AI Consultancy Grant. Selected projects receive up to 700 hours of support from the team, which works alongside researchers to address scientific questions using AI techniques and methods.

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