Chairs: Arnoldo Frigessi and Nial Friel
Network inference consists of computationally identifying network model parameters from data and as such it builds forth on the activities of the first two groups. Inference provides explanations and descriptions of phenomena. Network prediction builds forth on inference to deal with diverse questions, such as “What is the best advertising or vaccination strategy?”, “Is this network activity a sign of fraud?” and “Will this drug be effective?”.