Post Date
Apr 25 2024

Using Automated Event Detection to Reduce Data Collection Costs with an Application to the BFRS Dataset

The project aimed to replicate and extend the BFRS dataset using machine learning and algorithm techniques. The BFRS dataset codes political violence from 1988 to 2011. It proposed to create a similar dataset from 2010 to the present day by automating categorisation of events using textual analysis with pattern recognition. The automation will streamline the process and, once developed, the tool provides quick updates without incurring any additional cost. The project also aimed to create the capacity for the construction of similar datasets on subjects other than violence. It streamlined the process of classification by developing a machine-learning tool that automatically identifies the kind of event reported and categorises it as such.