On Tuesday 30 March from 12-13 pm (CET), prof. dr. Rens van de Schoot, professor of statistics at Utrecht University, will present on the open-source tool ASReview, that can help researchers find relevant literature at a much faster pace and increase the quality of their screening process.
We warmly invite you to attend this lecture, learn more about the development of ASReview and its possibilities for researchers, and participate in the Q&A and discussion after the lecture. Find the full abstract of the lecture below.
Registration for this event is closed.
Abstract: ‘ASReview: Saving Time and Energy for Systematic Review’
In this ODISSEI Lunch Lecture, prof. dr. Rens van de Schoot, professor of statistics at Utrecht University, will present on the open-source tool ASReview that a multidisciplinary team at Utrecht University has developed. This tool is created to reduce the enormous amount of manual work that is usually involved in screening a large number of texts. With the ASReview tool, published in Nature Machine Intelligence, researchers can not only save time, but can also increase the quality of their screening process. Moreover, it is possible to easily run simulation studies on labelled data testing the performance of many different models. Researchers can now use ASReview for their own systematic literature review.
During this lecture Van de Schoot will discuss how ASReview works through an active learning cycle, which greatly improves the quality of one’s search results. Furthermore, he will present how the team has developed the tool’s software, the challenges they encountered during development, the simulations they have run to test the quality of the research results, and the way in which they have guaranteed that data ownership remains safely in the user’s hands. Currently, the team is investigating how they can further improve ASReview, by assessing which machine learning models can best be used for a particular type of text.
ASReview and ODISSEI’s Social Data Science Team (SoDa) have recently started to cooperate to support researchers who want to use ASReview. At this lecture, attendees will hear more about the possibilities this cooperation offers.