The ODISSEI and ASReview Collaboration

Anyone who goes through the process of screening large amounts of texts such as scientific abstracts for a systematic review knows how labor-intensive this can be. With the rapidly evolving field of Artificial Intelligence (AI), the large amount of manual work can be reduced by software using active learning.

By using the free, open-source tool ASReview, described in Nature Machine Intelligence, you can not only save time, but you can also increase the quality of your screening process. Moreover, you can efficiently run simulation studies on labeled data testing the performance of active learning on your data.

ASReview and ODISSEI’s Social Data Science Team (SoDa) cooperate to support researchers who use or want to use ASReview LAB. Via this collaboration, you can make use of the following services:

  • Q&A sessions
    In the Q&A sessions, we briefly introduce some aspects of ASReview LAB, show new developments and you can ask everything about the use of active learning for systematic literature screening . For example, questions about the importance of training data (prior knowledge), when to stop screening, and what happens under the hood of ASReview.
  • Join the ASReview Open-Science Community
    Contribute to the development of the ASReview project by improving the documentation of ASReview LAB or suggesting new features or reporting bugs.
  • Donate your data
    If you are already done with your systematic review, you might publish your data on a trusted repository so that you can obtain a DOI for your data or donate your data for research on the performance of AI-aided systematic review tools.

Do you need help right away?

If you are using ASReview and need help right away, go to the extensive documentation or the discussion platform and ask your question!

Picture by ASReview