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<entry id="8837" >
	<details>
		<title><![CDATA[Five Problems in Information Market Design]]></title>
		<speaker><![CDATA[Robin Hanson]]></speaker>
		<start>2/9/2004 10:30:00 AM</start>
		<affiliation><![CDATA[George Mason University]]></affiliation>
		<slides exist="True" baseURL="http://resnet/slides/8837/slides/"></slides>
		<bio><![CDATA[Robin Hanson is an assistant professor of economics at George Mason University. In 1998 Robin received his Ph.D. in social science from the California Institute of Technology, and was afterward a Robert Wood Johnson Foundation health policy scholar at the University of California at Berkeley. Earlier, in 1984, Robin received a masters in physics and a masters in the philosophy of science from the University of Chicago, and then spent nine years researching artificial intelligence, Bayesian statistics, and hypertext publishing at Lockheed, NASA, and independently. 
Robin has published in CATO Journal, Communications of the ACM, Economics Letters, Econometrica, Extropy, IEEE Intelligent Systems, Information Systems Frontiers, International Joint Conference on Artificial Intelligence, Journal of Evolution and Technology, Journal of Public Economics, Social Epistemology, Social Philosophy and Policy, and Theory and Decision. 
Robin has unusually diverse research interests, with papers on spatial product competition, health incentive contracts, group insurance, explaining product bans, evolutionary psychology of health care, bioethics, voter incentives to become informed, Bayesian statistics and classification, agreeing to disagree, self-deception in disagreement, information aggregation via speculative markets, governance based on such markets, probability elicitation, combinatorial information market makers, wiretaps, image reconstruction, the history of science prizes, reversible computation, the origin of life, very long term economic growth, growth given machine intelligence, and interstellar colonization. ]]></bio>
		<abstract><![CDATA[Information markets are speculative markets created to aggregate diverse information on specific policy topics of interest.  While such markets seem to hold great promise, many potential problems come quickly to mind.  We review five such problems: self-fulfilling prophecies, decision selection biases, price manipulation, thin markets, and combinatorial explosions.
Recent research helps us to better understand and deal with these problems.]]></abstract>
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