Algorithm-based decision support systems play an increasingly important role in decisions involving exploration tasks, such as product searches, portfolio choices, and human resource procurement. These tasks often involve a trade-off between exploration and exploitation, which can be highly...

stratEst is a software package for the estimation of finite mixture models of discrete choice strategies in the statistical computing environment R. Discrete choice strategies can be customized by the user to fit the environment in which choices are made. The parameters of the strategy...

Discrete choice experiments are an important method to derive willingness-to-pay estimates for non-market goods. Several studies have shown that willingness-to-pay estimates derived from discrete choice experiments can be sensitive to the order of the presented choice tasks or the size of the...

We show theoretical and experimental results that demonstrate the potential of transparency to influence committee decision making and deliberation. We present a model in which committee members have career concerns and unanimity is needed to change the status quo. We study three scenarios -...

The space sector has remained central to geopolitics since the end of the Cold War, leading to an increase in national space spending worldwide. This study investigates how public support for space funding is influenced by information about (i) national space spending, (ii) the spending of...

Leaks are pervasive in politics. Hence, many committees that nominally operate under secrecy de facto operate under the threat that information might be passed on to outsiders. We study theoretically and experimentally how this possibility affects the behavior of committee members and the...