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Example Applications

Social and economic applications: analysis of the effectiveness of NGO and governmental programs

  • The capture, encoding and analysis of stories from households impacted by unfortunate circumstances (e.g. disease, starvation in third world countries) can significantly enhance the evaluation of the effectiveness of government and NGO programs
  • Deep linking of above narratives into broad climate, economic and news databases will facilitate deep and automated analysis of trends and impacts
  • Recommendations for improvements and subsequent actions can be formulated from this analysis; implementation at the household level can consist of communications in the style and vocabulary of similar participants in the program

Medical applications: Improving efficiency and effectiveness of medical practices

  • The capture, encoding and semantic analysis of patient experiences and family medical histories from the viewpoint of the patient and/or family members can efficiently provide more complete insight into medical conditions
  • Additionally, capturing and analyzing medical practitioners’ observations and test results will enable automated comparison to patient’s and family’s narratives – highlighting consistencies and conflicts
  • Deep linking of above narratives into medical and genetic databases and subsequent application of machine learning techniques will enable a highly efficient and effective process for finding patterns and commonalities and could ultimately enhance diagnoses

Educational and corporate applications for encoding and transfer of information from subject matter experts

  • Corporations and universities often have a few experts in a given field who possess highly detailed knowledge of a particular subject that is critical for the organization.  Much of this info can be in the form of “tribal knowledge” or informal procedures. When this person retires or leaves the organization, there is often no one with this kind of knowledge or abilities and the organization suffers.
  • The capture of this critical information, in the form of narratives, can be constructed from interviews and capture of train-of-thought from the subject matter expert. These are likely to be more complete and can complement written procedures with “tribal knowledge” that would not otherwise be retained.
  • The capture, encoding and semantic analysis of these narratives will enable a rich and query-able knowledge base of detailed, linkable information