Source Mapping and Method Mining

SM3 maps the full landscape of intelligence methodologies across disciplines and operational contexts. The program identifies analytic techniques, evidentiary standards, and inferential methods used in intelligence, finance, data science, epidemiology, economics, and social research, then organizes them into a unified, operational framework. SM3 is designed to surface methodological blind spots, reduce analytic monoculture, and enable structured method selection based on problem type rather than institutional habit.

Status: Active Mapping

Method cataloging underway; network structure expanding as cross-domain linkages are formalized.

Pillar One: Method Taxonomy

SM3 builds a clear, searchable classification of analytic methods by purpose, such as forecasting, anomaly detection, causal inference, attribution, network analysis, scenario design, and deception detection. Each method entry is described in plain operational terms: what it is for, what inputs it needs, and what failure modes look like.

Pillar Two: Workflow Templates

SM3 translates methods into deployable templates: step-by-step procedures, required inputs, tooling options, and quality checks. This pillar is designed for speed and consistency, so teams can apply proven approaches without relying on specialist memory or bespoke craftsmanship.

Pillar Three: Method Graph and Selection Logic

SM3 maintains a network map of methods that shows how approaches relate, combine, or substitute for each other. It also defines selection logic, which methods are appropriate given constraints like data availability, time, risk tolerance, and required evidentiary strength. The output is a practical decision aid for analysts choosing how to attack a problem.