Can Terrorism Be Predicted With Machine Learning?

What the Taliban did in Afghanistan should not be shredded off by the world as ‘another country’s problem.’ Afghanistan today has the potential of becoming a propagation ground for international terrorism.  Artificial intelligence and machine learning have been at the forefront of helping humanity through several threats and challenges. And in line with that, researchers at Zhejiang University are now exploring ways to demonstrate the potential of theoretically informed models to predict political violence.  Preparing the Model A team of researchers led by Dr Andre Python have developed a machine learning framework to predict and explain the occurrence of terrorism executed by non-state actors outside legitimate warfare. They have compared the results of a flexible spatial statistical model and two ML approaches -- an efficient implementation of gradient-boosted trees (XGB) and a random forest algorithm (RF).   The researchers have considered terro