Individuals increasingly rely on social networking platforms to find information and form opinions. However, there are concerns on whether or how these platforms lead to extremism and polarization, especially since they typically aim to maximize engagement which may not align with other social...

The increasing availability of data in credit markets may appear to make adverse selection concerns less relevant. However, when there is adverse selection, more information does not necessarily increase welfare. We provide tools for making better use of the data that is collected from potential...

We study a model of social learning and communication using hard anecdotal evidence. There are two Bayesian agents (a sender and a receiver) who wish to communicate. The receiver must take an action whose payoff depends on their personal preferences and an unknown state of the world. The sender...

Written by more than fifty top researchers from economics, OR, and algorithm design, this text comprehensively covers a major inter-disciplinary field and its important applications from the basics to state of the art. Key chapters discuss efficiency, fairness and incentives, and market design...

We present evidence on how generative AI changes the work patterns of knowledge workers using data from a 6-month-long, cross-industry, randomized field experiment. Half of the 7,137 workers in the study received access to a generative AI tool integrated into the applications they already used...