Recent macroeconomic events have been frequently interpreted (informally) through the lens of an economic model where information is incomplete, untrustworthy and dispersed across individual agents.  The development of formal models has been slowed by theoretical and computational obstacles however, and as a result, little is known about how to evaluate these explanations, let along how to guide policymakers.  The purpose of this conference is to bring together researchers working on many aspects of such models – including price formation in the presence of non-nested information sets, decision-making in the presence of information-processing limits, and the role of uncertainty and ambiguity in market economies – to present their work and discuss new directions for research.  The academic organizer of the conference is Eric Young, Associate Professor of Economics at the University of Virginia.