Yu receives AFOSR grant
The three-year, $450,000 award will fund Yu’s research into how best to predict outcomes of an intervention from limited data when there may be complex dependences in the outcomes arising from network interference. Yu, an assistant professor in Cornell's School of Operations Research and Information Engineering, explains that existing standard data analyses are able to understand and describe data, but are unable to answer “what if” and “why” questions about predicted outcomes of possible interventions. These existing data analyses can leave policy-makers guessing at the effectiveness of... Read more