Some years ago, I got a call from “Frank,” a finance director at a start-up company with a cloud-based software solution. Its platform was hosted by one of the large public cloud providers, and that was why he was calling. “The bills for hosting have been outrageous,” said Frank, who had called me based on a strong referral from a former consulting colleague.
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 →
