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 contributing to the project. In short, research is conducted according to the following fundamental principles:

Research output should be FAIR (Finable Accessible Interoperable and Reusable).
Research should be conducted with integrity, and we commit ourselves to the Netherlands Code of Conduct for Research Integrity.
Output should be rewarded according to the Declaration on Research Assessment (DORA)

Utrecht University has established specific regulations governing conduct for its employees. These are based on the key principles of professional and quality academic conduct and ethically-responsible research. Members of the team employed by Utrecht University, commit themselves to these regulations in all their conduct, including all work related to ASReview. Adherence to similar key principles is expected of all researchers involved in all facets of the ASReview project.

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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