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      <image:title>Welcome</image:title>
      <image:caption>Diag Davenport is a Presidential Postdoctoral Research Associate at the Princeton School of Public and International Affairs. He combines insights from psychology and economics to study the ways people interact with artificial intelligence tools in order to understand the societal impact of these new technologies. His research considers all perspectives of AI deployment, from those concerned with building and using algorithmic aids to those whose freedom, health, and employment are influenced by such systems. The goal of his research is to inform policies that can actively shape whether the tools are a net gain or harm and for whom. Diag is a co-recipient of the 2023 Hillel Einhorn New Investigator Award from the Society of Judgment and Decision Making and his work received Honorable Mention for the 2023 Best Paper Award from the Behavioral Science and Policy Association. Diag’s work has been published in top journals such as Proceedings of the National Academy of Sciences and Y. His work has also been featured in popular press venues such as Bloomberg, Boston Globe, Forbes, and The Telegraph. Before joining Princeton, Diag earned his PhD in Behavioral Science (Economics track) from the University of Chicago Booth School of Business. Diag also has a master’s in Mathematics and Statistics from Georgetown and bachelor’s degrees in Economics and Management from Penn State. Prior to his PhD studies, Diag advised insurance and manufacturing executives on future litigation risks as a consultant at Bates White and built a variety of data products as a data scientist for the District of Columbia Superintendent of Education, the Federal Reserve Board, and a Covid-thwarted travel startup. During his PhD studies, he also operated an AI consulting firm that advised several startups on data strategy. Those clients have gone on to collectively raise over $20 million. Diag is currently on the academic job market.</image:caption>
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