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workshop on consequential decision making in dynamic environments consequential decisions in dynamic environments consequential decisions in dynamic environments about accepted papers call for papers speakers schedule organizers related workshops workshop on consequential decision making in dynamic environments virtual workshop december 12 2020 neurips machine learning is becoming an integral component of sociotechnical systems predictions are used to grant beneficial resources or withhold opportunities and the consequences of such decisions induce complex social dynamics by changing agent outcomes and prompting individuals to proactively respond to decision rules this introduces challenges for standard machine learning methodology static measurements and training sets poorly capture the complexity of dynamic interactions between algorithms and humans strategic adaptation to decision rules can render statistical regularities obsolete correlations momentarily observed in data may not be robust enough to support interventions for long term welfare recognizing the limits of traditional static approaches to decision making researchers in fields ranging from public policy to computer science to economics have recently begun to view consequential decision making through a dynamic lens this workshop will confront the use of machine learning to make consequential decisions in dynamic environments overview gather town schedule zoom invited speakers rediet abebe harvard society of fellows uc berkeley hamsa bastani university of pennsylvania yiling chen harvard moritz hardt uc berkeley mitsue iwata planned parenthood federation of america maximilian kasy university of oxford daniel kuhn epfl call for submissions important dates please see the call for papers for submission instructions submission deadline october 9 2020 anywhere on earth notification of acceptance october 30 2020 workshop date saturday december 12 2020 organizers angela zhou cornell ashia wilson mit john miller uc berkeley lily hu harvard lydia liu uc berkeley nathan kallus cornell tech niki kilbertus cambridge and mpi shira mitchell civis analytics
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