An Expert System for Construction Management
{'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 general objective of this research is to continue development of a          prototypical artificial intelligence (AI) system which is designed to           give legal advice to design and construction engineers.  The existing           AI system, the Differing Site Conditions Systems (DSCAS), is a well             defined first step toward developing an AI system for contract                  management; however, there are several limitations of the system.  The          objective of this research is to remove these limitations.  The                 specific objectives of this research are:  to increase the                      sophistication of DSCAS such that the user will not need to possess             more than rudimentary legal knowledge, to modify the program structure          to allow DSCAS to find and explain all of the reasons why a claim might         be disallowed, and to give the program the capability to cite relevant          case law in justifying its solution.
{'FirstName': 'James', 'LastName': 'Diekmann', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James E Diekmann', 'EmailAddress': 'James.Diekmann@Colorado.EDU', 'NSF_ID': '000397212', 'StartDate': '08/01/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'ZipCode': '803090001', 'PhoneNumber': '3034926221', 'StreetAddress': '3100 MARINE ST', 'StreetAddress2': 'STE 481 572 UCB', 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': 'SPVKK1RC2MZ3', 'ORG_LGL_BUS_NAME': 'THE REGENTS OF THE UNIVERSITY OF COLORADO', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1442', 'Text': 'CONSTRUCTION AND INFRASTRUCTUR'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1984&All=true', 'xml': '8415257.xml'}