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Eliciting Accurate and Useful Information from Heterogeneous Agents

University of Michigan School of Information (UMSI) Assistant Professor of Information Grant Schoenebeck has been awarded $248,365 by the National Science Foundation to fund “AF: Small: Eliciting Accurate and Useful Information from Heterogeneous Agents. 

While traditional algorithmic approaches assume inputs are given, inputs increasingly must be obtained by eliciting information from a diverse set of users whose reporting can be skewed in anticipation that. This research will examine how systems of information elicitation can function more effectively. It will have far-reaching implications in information gathering and aggregation systems used in basic scientific research, reputation systems, and crowdsourcing applications, among other fields.

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The amount of the award is $400,000 for UMSI for the project period. The grant is funded by National Science Foundation.