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.

Scientist ELAS, mascotte of ASReview

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:

  1. Research output should be FAIR (Finable Accessible Interoperable and Reusable).
  2. Research should be conducted with integrity, and we commit ourselves to the Netherlands Code of Conduct for Research Integrity.
  3. 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.

Open science at Utrecht University
FAIR data principles
Declaration on Research Assessment Declaration

Research Projects and Output

ASReview paper explosion

Paper introducing the ASReview project

We show that by using active learning, ASReview can lead to far more efficient reviewing than manual reviewing, while exhibiting adequate quality. Furthermore, the presented software is fully transparent and open source.

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ASReview LAB

ASReview LAB

ASReview LAB is user-friendly software for exploring the future of AI in systematic reviews. The software implements an Oracle Mode, an Exploration Mode, and a Simulation Mode.

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Read the Docs

All the documentation surrounding ASReview, from API to the Zen of ELAS, can be found within the Read the Docs. If you want to know more about ASReview, this is the place to be! Main topics include: An introduction, ASReview LAB, Features, Extensions & API

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Research Partners

Research partner ASReview: Utrecht University
Research partner ASReview: NWO
Research partner OCRE ASReview
Research partner ASReview: EFSA
Research partner ASReview: KNMP
Research partner ASReview: KI-FMS
Research partner ASReview: DJI
Research partner ASReview: Centre for Urban Mental Health
Research partner ASReview: UvA
Research partner ASReview: AI department from Radboud University
Research partner ASReview: Nationaal Politielab AI - Utrecht
Research partner ASReview: Kinderformularium
Research partner ASReview: Open Evidence