Consider a set of agents (receivers) whose payoffs depend on an underlying state of the world as well as each other's actions. Suppose that a designer (sender) commits to a signaling mechanism which reveals payoff-relevant signals to agents when the state is realized. The availability of such...

We introduce feature valuations, a new class of valuations that compactly capture preferences of agents who value items based on the features they possess. Such preferences are relevant in many important practical settings, such as Internet advertising markets (where impressions have associated...

We consider a setting where agents in a social network take binary actions, which exhibit local strategic complementarities. The agents are a priori uninformed about an underlying payoff-relevant state. An information designer wants to maximize the expected number of agents who take action 1,...

Motivated by the prevalence of experimentation in online platforms and social networks, we consider the problem of designing randomized experiments to assess the effectiveness of a new market intervention for a network of users. An experiment assigns each user to either the treatment or the...

We study information design settings where the designer controls information about a state, and there are multiple agents interacting in a game who are privately informed about their types. Each agent’s utility depends on all agents’ types and actions, as well as (linearly) on the state. To...

Data on population movements can be helpful in designing targeted policy responses to curb epidemic spread. However, it is not clear how to exactly leverage such data and how valuable they might be for the control of epidemics. To explore these questions we study a spatial epidemic model that...

We consider a platform that charges commission rates and subscription fees to sellers and buyers for facilitating transactions but does not directly control the transaction prices, which are determined by the traders. Buyers and sellers are divided into types, and we represent the compatibility...