In both the commercial and defense sectors a compelling need is emerging for highly dynamic, yet risk optimized, sharing of information across traditional organizational boundarie...
This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
Human decision making is error-prone and often subject to biases. Important information cues are misweighted and feedback delays hamper learning. Experimentally, task information ...
Policy authors typically reconcile several different mental models and goals, such as enabling collaboration, securing information, and conveying trust in colleagues. The data un...