Organizing Committee and Preface

Thee symposium focused on combining human and machine inference. For unique events and data-poor problem, there is no substitute for human judgment. Even for data-rich problems, human input is needed to account for contextual factors. However, human are notorious for underestimating the uncertainty in their forecasts and even the most expert judgments exhibit well-known cognitive biases. The challenge is therefore to aggregate expert judgment such that it compensates for the human deficiencies. We hope that bringing researchers in this venue will provide meaningful discussions and further inspire interesting research in this direction.