Input-Agnostic Causal Knowledge Discovery with Deterministic Validation and Autonomous Gap Resolution

CONFERENCE

27th IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2026)

WHEN

31 July – 02 August 2026

WHERE

Seattle, USA

AUTHOR

David Tom Foss — sole author & speaker

A causal knowledge discovery pipeline that works on any input modality, validates every extracted relation deterministically, and resolves its own knowledge gaps autonomously. Accepted as a full research paper — top 30% of all submissions — at IEEE IRI 2026 in Seattle.

CAUSAL DISCOVERY · DETERMINISTIC VALIDATION · AUTONOMOUS GAP RESOLUTION · KNOWLEDGE GRAPHS · DATA SCIENCE