Researchers’ Series Special Topics 2023 - Saving Time and Sanity: Using active learning for systematic reviews and meta-analyses

Abstract

Screening thousands of research papers for a systematic review or meta-analysis can be overwhelming. The reality is that there simply isn’t enough time to read every single article.  

Join Prof. Dr. Rens van de Schoot as he introduces ASReview, a powerful free and open-source software for systematic reviewing, developed by his research team from Utrecht University. Rens will explain how active learning, a machine learning technique, can accelerate the step of manual screening process by saving up to 95% (!) of screening time. ASReview is more than just a tool; it’s a vibrant community of researchers, users, and developers worldwide, contributing to its open-source mission, and Rens will explain how you can join the movement towards fast, open, and transparent systematic reviews. 

Registration: https://lbcube.hkust.edu.hk/ce/event/9655

About the Speaker

Prof. Dr. Rens van de Schoot works as a full professor for ‘Statistics for Small Data Sets’ at Utrecht University in the Netherlands and as an extra-ordinary professor at North-West University in South Africa. He is also the program director of the research master ‘Methodology and Statistics for the Behavioural, Biomedical, and Social Sciences’. He is known for his many tutorials, checklists, and online (free) course materials in the areas of SEM and Bayesian statistics. Currently, his main research project is the community-driven and fully open-source project ASReview: AI-aided systematic reviewing using Active Learning. 

Notes:

1) The Zoom meeting ID will be sent to registrants at 5pm, 1 day before the session.

2) 1.5 credit hours will be counted toward the course requirement of PDEV 6770A/C/D/E.