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Using machine learning to help you conduct systematic reviews and meta-analysis: ASReview

To help researchers conduct a systematic review or meta-analysis as efficiently and transparently as possible, we designed a tool to accelerate the step of screening titles and abstracts. In this episode - hosted by Rens van de Schoot with co-host Lars Tummers - we explain how active learning for screening prioritization works. There are software demonstrations of the tool we developed - ASReview, starring Laura Hofstee and Sofie van den Brand. We have a debate about the role of AI in systematic reviewing with information specialists Jan de Boer and Felix Weijdema. Active learning was explained by machine learning expert Daniel Oberski, NLP-expert Ayoub Bagheri, and our lead engineer Jonathan de Bruin. For more information see www.ASReview.nl or our article in Nature Machine Intelligence (https://www.nature.com/articles/s4225..., our Github page (https://github.com/asreview), or our extensive documentation (https://asreview.readthedocs.io/). This is a recording of the live broadcast which took place on Friday March 26, 2021 from studio de Bloq.