Researching complex arrangements of actors, actions, resources, causes and effects for optimized decision-making and outcomes.

Leveraging theories of mind and theories of being in bounded machine learning and artificial intelligence, for better semantic architecture and mechanics of accountability.

Applied anthropology, behavioural science, and sociotechnical systems research for optimized human development and organizational performance.

Investigating how intelligence is formed and operates, where it lives, what it can do, and when to use it, for better command, control, and communication.

Mapping formal and informal ecologies of proof for better ontology design, knowledge graph production, and information management.

Researching the authority and affordances of provenance over time, across disciplines, and in practice, for improved AI traceability, explainability, observability, and auditability.