An overview of our current research focus and intended direction.
We’re developing formal methods for friction analysis in multi-agent systems. The work spans 24 academic publications and is grounded in the Axiom of Consent—a pre-game-theoretic framework for understanding why systems produce friction, where it concentrates, and what it costs.
The core insight is substrate-neutral: the same mathematics that predicts market volatility asymmetry can diagnose institutional legitimacy deficits. We’re building the tooling and methodology to make that practical.
Building the analytical infrastructure for friction decomposition—from event study design to simulation frameworks.
Active development of the formal frameworks underlying the research programme. Open-access publications with rigorous formalisation.
Joint research programs, co-authorship on peer-reviewed publications, and shared infrastructure for empirical validation.
Target domains where friction analysis yields empirically grounded, actionable insight.
Market microstructure, volatility modeling, systemic risk, event studies, crypto infrastructure analysis.
Consent mechanics for autonomous systems, substrate-independence analysis, multi-agent coordination.
Legitimacy quantification, governance design, regulatory friction, stakeholder consent mapping.
Self-hosted compute clusters, agent-based modeling, high-throughput simulation, privacy-first architecture.
Develop formal frameworks with precise definitions, proofs, and falsifiable predictions.
Apply frameworks to empirical data. Predictive failure necessitates revision.
All non-proprietary research published CC-BY 4.0. Peer review as standard.
Identify failure modes. Refine frameworks or document their limitations.
We welcome enquiries regarding collaboration, critique, and research partnerships.