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More and more researchers rely upon Systematic Reviews: attempts to synthesize the state of the art in a particular scientific field. However, the scientific output of the world doubles every nine years. In this tsunami of new knowledge, there is not enough time to read everything, resulting in costly, abandoned or error prone work. Using the newest methods from the field of Artificial Intelligence (AI), you can reduce the number of papers to screen by up to 95%(!). This summer school course introduces you to the newest technologies to assist you during the screening phase of a systematic review.

Course director

Laura Hofstee (coordinator), Rens van de Schoot, Daniel Oberski, Jan de Boer, Bianca Kramer, Felix Weijdema, Sofie van den Brand, Yongchao Terry Ma

Participants from a variety of fields — including psychology, education, human development, public health, prevention science, sociology, marketing, business, biology, medicine, political science, and communication — will benefit from the course.

It helps if you have a concrete plan for carrying out a systematic review so that you can immediately start working with your own data.

After engaging in the course lectures and discussions as well as completing the hands-on practice activities, participants will be able to carry out their own AI-aided systematic review using active learning.

Irma Reyersen | E: ms.summerschool@uu.nl