Presidential Young Investigator Award: Improved Methods of  Forcasting Construction Cost and Schedule Performance
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'William Hakala', 'PO_EMAI': None, 'PO_PHON': None}
The goal of this research is to develop a better way, or ways, to               forecast construction project performance.  It is intended to                   accomplish this by three separate, but coordinated research                     studies--two investigating cost forecasting and the other schedule              forecasting.  One of the cost studies and the schedule study will               explore ways of applying knowledge-based expert system concepts from            computer science to these forecasting problems.  Quantitative, as               opposed to heuristic, methods of forecasting cost performance will be           investigated.  In future years, other aspects of construction project           performance such as quality, safety, and organizational issues will be          investigated, but cost and time are the crucial two issues for this             initial investigation.
{'FirstName': 'C. William', 'LastName': 'Ibbs', 'PI_MID_INIT': None, 'PI_SUFX_NAME': 'Jr.', 'PI_FULL_NAME': 'C. William Ibbs', 'EmailAddress': None, 'PI_PHON': None, 'NSF_ID': '000208351', 'StartDate': '09/01/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'ZipCode': '618013620', 'PhoneNumber': '2173332187', 'StreetAddress': '506 S WRIGHT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': 'Y8CWNJRCNN91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1442', 'Text': 'CONSTRUCTION AND INFRASTRUCTUR'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1984&All=true', 'xml': '8451561.xml'}