Improving the transparency, reproducibility, and trustworthiness of science
Research areas

Metascience
We work in metascience to make research more trustworthy and useful. To this end, we measure and assess transparency and reproducibility on a large scale. We also run experiments to try and improve research quality. Particular interests in meta-science include multi-analyst designs, quality control and error checking, researchers’ incentives, and evidence synthesis.

Neuroscience
Our research in neuroscience concerns mainly sleep, diurnal rhythms, and markers of inflammation.

Psychiatry
Together with colleagues, we assess biomarkers in psychiatry and to develop better ways to predict interventions for patients.
In the media
2026-03-23: Debate in Svenska Dagbladet: Ökad öppenhet gynnar forskningen (in Swedish)
2026-04-01: News item on the KI website: Half of social science results cannot be replicated
Research projects
The Sleepy Brain project
was a large multimodal brain imaging study of sleep deprivation, funded by Riksbankens Jubileumsfond. We showed, among other things, that sleep deprivation caused increased variability of blood flow and reduced functional connectivity in the brain. We have shared the rich dataset from this project, which has led to numerous collaborations and re-use by other teams. Analyses of data from the Sleepy Brain project still continues.
The EEGManyPipelines project
aims to investigate the variability in analysis strategies and results in EEG research. In this uniquely decentralised and community-based project, we have recruited 168 independent research teams that have analysed an EEG dataset in the way they found most appropriate. The project is funded by Riksbankens Jubileumsfond.
Systematic evaluation of clinical trial reporting
is an investigation of Nordic registered clinical trials. We are following up all trials registered in the EU clinical trials register (EUCTR) and on clinicaltrials.gov, which ended 2016-2019 and were sponsored by a Nordic university or university hospital.
improving Reproducibility In Science (iRISE)
brings together a European consortium to deepen understanding of reproducibility drivers, evaluate their effectiveness and provide concrete solutions to enhance scientific evidence. I co-lead a work package for interventions to improve reproducibility and am also responsible for the project Stakeholder Forum.
Other
In addition, I am involved in numerous collaborations including the EEGManyLabs project, and the ENIGMA-Sleep working group.
