This project is work in progress and not production ready.

Systematic Reviews are “top of the bill” in research. The number of systematic reviews published by researchers increases year after year. But performing a sound systematic review is a time-consuming and sometimes boring task. Our software is designed to take over the step of screening abstracts and titles with a minimum of papers to be read by a human (in the training set and in the final included set) and with zero false negatives (or any other small number).

Dutch newspaper NRC on this project "Software vist de beste artikelen uit een bibliotheek van duizenden."

Follows.

• Autumn 2018 - Prototype and test on some labelled data sets.
• Winter 2019 – Finalize prototype with active learning + test on some labelled data sets.
• Spring 2019 – Compare with other software and test with more labelled data sets
• Autumn/Winter 2019 – Test with unlabeled data and compare to human performance.

This project is part of the research work conducted by the Department of Methodology & Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, The Netherlands.

For any questions or remarks, please contact Prof. Dr. Rens van de Schoot ([email protected]).

Contributors:

• Rens van de Schoot ([email protected], @Rensvandeschoot)
• Daniel Oberski ([email protected], @daob)
• Parisa Zahedi ([email protected], @parisa-zahedi)
• Jonathan de Bruin (@J535D165)
• Kees van Eijden
• Qixiang Fang