We present a novel methodology for predicting future outcomes that uses small numbers of individuals participating in an imperfect information market. By determining their risk attitudes and performing a nonlinear aggregation of their predictions, we are able to assess the probability of the...

We present a novel methodology for predicting future outcomes that uses small numbers of individuals participating in an imperfect information market. By determining their risk attitudes and performing a nonlinear aggregation of their predictions, we are able to assess the probability of the...

We present a novel methodology for identifying public knowledge and eliminating the biases it creates when aggregating information in small group settings. A two-stage mechanism consisting of an information market and a coordination game is used to reveal and adjust for individuals' public...

In spite of the widespread concerns expressed about the importance of privacy, individuals frequently give away or sell a myriad of personal data. How and why people decide to transition their information from the private to the public sphere is poorly understood. To address this puzzle, we...

In spite of the widespread concerns expressed about the importance of privacy, individuals frequently give away or sell a myriad of personal data. How and why people decide to transition their information from the private to the public sphere is poorly understood. To address this puzzle, we...

P2P clusters like the Grid and PlanetLab enable, in principle, the same statistical multiplexing efficiency gains for computing as the Internet provides for networking. The key unsolved problem is resource allocation. Existing solutions are not economically efficient and require high latency to...