Data in the Wild: A KM Approach to doing a Census Without Asking Anyone and the Issue of Privacy
- James Kelly, MIS, San Diego State University, San Diego, California, United States
- Murray Jennex, MIS, san diego state university, OCEANSIDE, California, United States
- Kaveh Abhari, MIS, San Diego State University, San Diego, California, United States
- ALEXANDRA DURCIKOVA, MIS, University of Oklahoma, Norman, Oklahoma, United States
- Eric Frost, HSEC, San Diego State University, San Diego, California, United States
AbstractKnowledge Societies strive to better their citizens by maximizing services while minimizing costs. One of the more expensive activities is conducting a census. This paper explores the feasibility of conducting a smart census by using a knowledge management strategy of focusing on actionable intelligence and the use of open source data sources to conduct a national census. Both technical and data privacy feasibility is discussed.
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