On-Line Security Assessment
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Vijay Vittal', 'PO_EMAI': None, 'PO_PHON': None}
This research is attempting to understand the engineering aspects of            large-scale systems that are qualitatives, knowledge intensive and              nonalgorithmic in nature as opposed to conventional investigations              into the quantitative and algorithmic methodology commonly used for             design and analysis.  The vehicle for these investigations is the               problem of on-line security assessment, an important problem now and            for future systems.  The potential payoff for this hi-risk work is              high and would alter the current direction of algorithmic-based design          tools to one of recognition of accumulated knowledge an expertise as a          legitimate basis for engineering design and synthesis.
{'FirstName': 'Sarosh', 'LastName': 'Talukdar', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sarosh Talukdar', 'EmailAddress': 'talukdar@ece.cmu.edu', 'NSF_ID': '000291670', 'StartDate': '12/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'PA18', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
[{'Code': '1452', 'Text': 'POWER SYSTEMS'}, {'Code': '1518', 'Text': 'CONTROL, NETWORKS, & COMP INTE'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8715476.xml'}