1.) Introduction: Forecasting in peace research. --Håvard Hegre, Nils W. Metternich, Havard Mokleiv Nygard.
2.) Using night light emissions for the prediction of local wealth. --Nils B Weidmann, Sebastian Schutte.
3.) Lessons from near real-time forecasting of irregular leadership changes. --Michael D Ward, Andreas Beger.
4.) Canaries in a coal-mine? What the killings of journalists tell us about future repression. --Anita R Gohdes, Sabine C Carey.
5.) Subnational violent conflict forecasts for sub-Saharan Africa, 2015–65, using climate-sensitive models. --Frank DW Witmer, Andrew M Linke, John O’Loughlin, Andrew Gettelman.
6.) Do the robot: Lessons from machine learning to improve conflict forecasting. --Michael Colaresi, Zuhaib Mahmood.
7.) Financing rebellion: Using piracy to explain and predict conflict intensity in Africa and Southeast Asia. --Ursula Daxecker, Brandon C Prins.
8.) The oracle or the crowd? Experts versus the stock market in forecasting ceasefire success in the Levant. --Gerald Schneider, Maya Hadar, Naomi Bosler.
9.) Evaluating the scope and intensity of the conflict trap: A dynamic simulation approach. --Havard Hegre, Havard Mokleiv Nygard, Ranveig Flaten Ræder.
10.) Predicting the decline of ethnic civil war: Was Gurr right and for the right reasons?. --Lars-Erik Cederman, Kristian Skrede Gleditsch, Julian Wucherpfennig.
11.) The shape of things to come? Expanding the inequality and grievance model for civil war forecasts with event data. --Daina Chiba, Kristian Skrede Gleditsch.
12.) Predicting local violence: Evidence from a panel survey in Liberia. --Robert A Blair, Christopher Blattman, Alexandra Hartman.
13.) Market anticipations of conflict onsets. --Thomas Chadefaux.