International Conference on Stochastic Programming to be    held at the University of Michigan in Ann Arbor, Michigan,  August 13-18, 1989.
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Strategic, operational, and real-time control decisions are often made          without complete information about the effects of these decisions.              Stochastic programming models incorporate this uncertainty explicitly           into the decision-making process.  These models quantify uncertainty            into distributional information on key model parameters and address an          objective that reflects the goals and risk sensitivity of the decision          maker.  Advances in the theory supporting the models and in computer            implementations of this theory have brought stochastic programming to           the threshold of widespread, practical use.  The International                  Conference on Stochastic Programming will further this development by           bringing together the leading researchers in the field to share their           individual findings, to gain insights from the exchange of ideas, and           to focus on selected applications that can benefit from stochastic              programming.  This conference will continue the field's strong                  tradition of truly international cooperation by including scientists            from around the world.
{'FirstName': 'John', 'LastName': 'Birge', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John R Birge', 'EmailAddress': 'John.Birge@gsb.uchicago.edu', 'NSF_ID': '000220023', 'StartDate': '08/01/1989', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
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[{'Code': '1260', 'Text': 'INFRASTRUCTURE PROGRAM'}, {'Code': '5514', 'Text': 'OPERATIONS RESEARCH'}]
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