Process and Automated System for Discovering and Optimizing Leadership and Constituency Correlations to Increase Participation and Sustainability for Election Outcomes of Governments and Other Organizations

A method of collecting, correlating, applying and reporting deep personae data from all participants during an election cycle, both Leadership and Constituencies, under the direction of a certified authority during the pre-election stage, in order to improve the outcome and sustainability of elected governments and other institutions once ultimate ratification occurs:

• In accordance with a logical process unspecific to any embodiment an online system, in a practical embodiment utilizing Internet Technologies and Machine Learning, initiates a procedure to collect configuration values from a certified election authority or other authorized agent of a public or private institution, herein known as the Sponsor;
• The procedure continues by issuing inquiries designed to solicit meaningful dimensions of persona on a nonjudgmental basis to all participants through online applications on multiple personal devices, with special regard for Leadership styles, preferred organizational structures affected by the election, and topics of interest to all parties including current controversies, policy decisions and financial management, while adhering to parameters imposed by the Sponsor's configuration, such as regional variations;
• Responses are delivered to an online server cluster containing a data model and machine learning capabilities;
• The server cluster calculates an ontology match based on affinity among personae, adjusts the Sponsor's initial configuration, and reports its recommendations to the Sponsor;
• As permitted by the configuration and accepted by the Sponsor, the recommendations are reported back to some or all participants through their online device applications and may contain modifications to the election process, candidate roster, role assignments, role titles and descriptions, new roles to be filled, reporting structure, number of write-in candidates, and other election criteria thereby upgrading awareness of the political nature of the community on all sides and utilizing ontology matching to produce optimizations;
• If directed by the Sponsor, the pre-election cycle may be repeated with one or more adopted changes incorporated into the subsequent inquiry, recommendation and reporting procedures;
• If directed by the Sponsor, the final results may be submitted for ratification according to a standard, ceremonial or traditional electoral process or conducted online by further utilization of this system or by some other means;
• If permitted by the configuration, the before-and-after conditions, along with detailed metrics and visualizations, may be published for intrasystem considerations and/or world-wide observation and critical comparison by the public;
• and
• If a quorum of information exists at the intrasystem reporting stage and permitted by configuration, this data may be mined and incorporated within subsequent cycles for the goal of producing geopolitical stability and improving international relations over time.