We provide an introduction of the functioning, implementation, and challenges of
convolutional neural networks (CNNs) to classify visual information in social sciences. This …

We address a well-known but infrequently discussed problem in the quantitative study of
international conflict: Despite immense data collections, prestigious journals, and …

Computational modelling allows researchers to combine the rich detail of qualitative
research with the rigour of quantitative and formal research, as well as to represent complex …

The Council of the European Union is the institutional heart of EU policy-making. But 'who
gets what, when and how'in the Council? What are the dimensions of political conflict, and …

This article compares neural network models to the logit and probit models, the most widely
used choice models in current empirical research, and explores the application of neural …

This paper describes the first stage of a statistical analysis designed to help forecast onsets
of mass-killing episodes in countries worldwide. This analysis is part of a study funded by …

In recent years, a number of significant methodological re-evaluations have taken place in
various disciplines of science due to machine learning develop-ments. This is particularly …

Editors' Note: This Forum presents a variety of ways to make research on foreign
policymaking more dynamic. Its focus is on thinking about what we can gain in our …

This paper uses event data to develop an early warning model of major political changes in
the Levant for the period April 1979 to July 1996. Following a general review of statistical …

What drives some to violence against the state while others, living in the same place at the
same time, turn to nonviolent resistance? And in this age of Islamist terrorism and …