Improving the transparency, reproducibility, and trustworthiness of science
I work in metascience to assess and improve transparency and reproducibility of research using quantitative methods. Particular interests include multi-analyst designs, quality control and error checking, researchers’ incentives, and evidence synthesis.
My research in neuroscience concerns mainly sleep, diurnal rhythms, and markers of inflammation. For many years I ran a research programme involving experimental studies of sleep deprivation using brain imaging. Currently I am working mainly on projects aiming to collect large amounts of existing data for secondary analysis.
Together with colleagues, I run projects to assess biomarkers in psychiatry and to develop better ways to predict interventions for patients.
In the media
2023-11-13: Debate article in Upsala Nya Tidning: Riktlinjer för öppen vetenskap en besvikelse (in Swedish)
2023-07-28: Debate article in Svenska Dagbladet: De vetenskapliga tidskrifterna har spelat ut sin roll (in Swedish)
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.
is a collaborative project with the research group of Christian Rück, where we have conducted a scoping review of all research conducted on exhaustion disorder, a putative stress-related diagnosis which is associated with a high disease burden in Sweden, the only country where the diagnosis has been introduced into the disease classification system. The project is funded by Region Stockholm.
brings together experiences of Open Science and Data Competence Centres from 18 European countries with the goal of unifying the training landscape into a pan-European ecosystem, in order to accelerate the upskilling of European researchers and data professionals in data management and sharing. I am responsible for the contribution of Karolinska Institutet to his large consortium.
aims to investigate the variability in analysis strategies and results in EEG research at medical universities in the Nordic countries. 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. Funded by Riksbankens Jubileumsfond.