Stochastic Methods for Water Resources Management
{'Code': '07030000', 'Directorate': {'LongName': 'Directorate For Engineering'}, 'Division': {'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'J. Eleonora Sabadell'}
This research project focuses on the generic problems of identifying            and managing the causes and consequences of uncertainty in Water                Resource System Planning, Design, and Operations.  The objective is the         development of better methods and approaches that integrate                     consideration of uncertainty into management decision making.  Derived          probability distributions for system outputs are investigated and,              where possible, derived for system outcomes.  Surrogate distributions           or indicators are investigated where it is not possible to derive the           probability distributions.  The integration of such probability                 information into a decision making process is approached from simple            analytic integration of probability functions and damage functions to           more complex models of management decision- behavior.
{'FirstName': 'David', 'LastName': 'Marks', 'EmailAddress': 'dhmarks@MIT.EDU', 'StartDate': '11/15/1984', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA'}
{'Code': '1474', 'Text': 'NAT & MAN-MADE HAZARD MITIGATI'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1984&All=true', 'xml': '8408369.xml'}