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CITP Seminar: Ryan Calo - Modeling Through Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an inability to anticipate the societal impacts of state intervention along a range of dimensions and values. Policymakers cannot see around corners or address societal problems at their roots. When it comes to regulation and policy-setting, policymakers are often forced, in the memorable words of political economist Charles Lindblom, to “muddle through” as best they can. Powerful new affordances, from supercomputing to artificial intelligence, have arisen in the decades since Lindblom’s 1959 article that stand to enhance policymaking. Computer-aided modeling holds promise in delivering on the broader goals of forecasting and system analysis developed in the 1970s, arming policymakers with the means to anticipate the impacts of state intervention al

United statesNew yorkUniversity of washingtonRyan caloCharles lindblomChris cowardTadayoshi kohnoRyan calo powellD wayne gittingerKate starbirdBatya friedmanEmma spiroMichael froomkinPhillipa trautmanSian kerrPaulg allen school of computer science