About 20 years ago, a series of coordinated terrorist attacks killed almost 3,000 people in the World Trade Center, New York and at the Pentagon. Since then, a vast amount of research has been carried out to better understand the mechanisms behind terrorism in the hope of preventing future potentially devastating acts of terror. Despite the large efforts invested to study terrorism, quantitative research has mainly developed and applied approaches aiming at describing regional cases of terrorist acts without providing reliable and accurate short-term predictions at local level required by policymakers to implement targeted interventions.
from News on Artificial Intelligence and Machine Learning https://ift.tt/3fjjqx9
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Interpretable machine learning predicts terrorism worldwide
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