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  1. David C. Parkes. David C. Parkes (born 1973) is a British-American computer scientist. He is the George F. Colony Professor of Computer Science and Co Faculty Director of the Harvard Data Science Initiative. From 2013–17, he was Area Dean for Computer Science. [1] Parkes is a Fellow of the Association for the Advancement of Artificial ...

  2. May 16, 2017 · May 15, 2017 at 5:12 pm PDT. It's possible that former Portlander David Parks is the most successful busker in the world. First, he went viral when video of his group, the beat-heavy brass-and ...

  3. Aug 29, 2023 · August 29, 2023. David C. Parkes will become the next dean of the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), effective October 15, 2023. Currently the George F. Colony Professor of Computer Science, Parkes leads research at the interface between economics and computer science, with a focus on multi-agent systems ...

  4. Mar 11, 2015 · David Parks is a governance advisor working on issues of power-sharing and citizen participation in Latin America, North Africa and the Middle East. He can be contacted at davidparks.ca@gmail.com ...

  5. David C. Parkes. George F. Colony Professor of Computer Science, Harvard University. Verified email at eecs.harvard.edu - Homepage. Economics and Computation Multi-Agent Systems. Title. Sort. Sort by citations Sort by year Sort by title. Cited by.

  6. en.wikipedia.org › wiki › Dave_ParksDave Parks - Wikipedia

    Dave Parks. David Wayne Parks (December 25, 1941 – August 8, 2019) [1] was an American professional football wide receiver and tight end in the National Football League (NFL). He was the first overall selection in the 1964 NFL draft out of Texas Technological College (now Texas Tech University). Parks was selected to three Pro Bowls, and was ...

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  8. Research Interests. Multi-agent AI, Bounded rationality, Machine learning and decisions, Multi-agent reinforcement learning, Intelligence architectures, Fair machine learning, Game theory, Algorithmic economics, Auction design, Market design, Mechanism design, Preference elicitation.

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