ASReview-Research

Explore the future of active learning in systematic reviewing

The ASReview Research Team continuously explores and investigates new ways to improve ASReview through simulation studies, use-cases, and more. The team doesn’t do this all alone, but often together with other organizations, research groups, and developers. The findings are published in peer-reviewed journals like Nature Machine Intelligence. By publishing data, scripts and underlying code, all work becomes fully transparent too.

The ASReview project was initiated at Utrecht University by Prof. dr Rens van de Schoot, dr. Daniel Oberski and Prof. dr. Lars Tummers in 2018. The award winning project has now grown into a full multidisciplinary research team that works hand in hand with the ASReview community.

Research Principles

The team works according to the Open Science principles and invests in an inclusive community that contributes to the project. In short, research is conducted according to the following key principles

Research should be open and accessible for everyone where possible.
Research output should be FAIR (Finable Accessible Interoperable and Reusable) where possible.
Research should be assessed according to the recommendations of DORA.

See for more information:

Declaration on Research Assessment Declaration

Research Projects and Output

Simulation Study on Risk Analysis Documents

ASReview conducted a simulation study on risk analysis documents to evaluate the time-benefit for the Royal Dutch Pharmacists Association.

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The Mega Meta project: Substance use, anxiety and depression

The MegaMeta project is a large scale project to review factors that contribute to substance use, anxiety and depressive disorders. Read more information on the search and screening protocol, hyperparameter tuning and post-processing used in this post.

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