July/August 2015 Well-constructed analytical models useful in thwarting fraudsters who often collaborate, thus setting up complex but revealing patterns of behavior. By Bart Baesens, Véronique Van Vlasselaer and Wouter Verbeke
Using machine learning and optimization to improve refugee integration
Andrew C. Trapp, a professor at the Foisie Business School at Worcester Polytechnic Institute (WPI), received a $320,000 National Science Foundation (NSF) grant to develop a computational tool to help humanitarian aid organizations significantly improve refugees’ chances of successfully resettling and integrating into a new country. Built upon ongoing work with an international team of computer scientists and economists, the tool integrates machine learning and optimization algorithms, along with complex computation of data, to match refugees to communities where they will find appropriate resources, including employment opportunities. Read more →