Stanford University is challenging asset allocators to demonstrate their ability to pick superior fund managers for a new study, which pits human investors against an algorithm. The school’s Global Projects Center, led by executive director Ashby Monk, developed the algorithm which it says can “select managers with very little information in very little time.” The study, which launched Tuesday, aims to assess whether this algorithm beats, matches, or underperforms real-world professionals. “We are extremely interested in how technology is going to change the way people allocate capital,” said Monk, who is also an Institutional Investor columnist.