Hannes Mueller, Christopher Rauh, Alessandro Ruggieri, and Ben Seimon explore how integrating machine learning predictions into policymaking can drastically improve prevention strategies and reduce long-term economic and humanitarian costs.
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.
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