A consortium of researchers dedicated to improving the understanding of the human causes and consequences of terrorism
START researchers inform interns on “Machine Learning and Big Data for Predictive Modeling of Asymmetric Threats” (Photo Gallery)
START researchers inform interns on “Machine Learning and Big Data for Predictive Modeling of Asymmetric Threats” (Photo Gallery)
March 26, 2019
On Tuesday, March 26, START’s Rachel Gabriel and Dr. Barnett Koven discussed how identifying social media trends and influencers could lend important insights for countering online radicalization. This talk was based on several previous and ongoing START projects about using trend forecasting and big data analytics to improve understanding and predictive capabilities regarding threats.