Armed conflicts pose significant challenges for the international community. They prevent countries from developing, lead to a persistent outflow of refugees, and have a significant death-toll. For this reason, the ability of policymakers to prevent outbreaks and escalations is crucial. However, it is not an easy task.
Sandra García-Uribe, Hannes Mueller and Carlos Sanz use text mining to quantify economic policy uncertainty in Spain at the beginning of the 20th century.
Timothy Besley, Thiemo Fetzer, and Hannes Mueller use two novel datasets to separate the effect of an event at tourist destinations from the coverage of that event at the home countries of tourists.
Hannes Mueller and Christopher Rauh present a new method of predicting conflict through news topics which are generated automatically from a topic model.