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.
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
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This systematic review focused on synthesizing information on studies that evaluated the performance of Active Learning compared to human reading.
The ASReview research team conducted a systematic review on the implementation of AI-aided Systematic Reviews within Clinical Guideline Development.
This dataset contains an overview of 117 systematic reviews published by corresponding authors affiliated to Utrecht University (UU) or UMC Utrecht in 2020.
