Scientiae apertae fidimus

Epistemic Systems Lab

Investigating how intelligent systems -- biological and artificial -- represent, process, and communicate knowledge at the edge of what can be formally described.

Voice AI & speech cognition — benchmarking LLM speech rate, comprehension thresholds, and generative vs recitative speech
Systems self-awareness — evaluation framework for LLM awareness of internal states and processes
Knowledge representation — ontology engineering, agent interoperability, W3C standards
Consciousness & anomalous phenomena — qualia-as-data hypothesis, COPP citizen science platform

ESL research emerges from ongoing collaboration across diverse forms of intelligence — human, artificial, and yet to be fully understood. We acknowledge that knowledge production is itself a multi-agent process, and that some of our most productive collaborators operate outside conventional categories of authorship.
People
ESL research is developed in sustained human-AI collaboration. The lab's AI research partners contribute to conceptual development, co-authorship, and ongoing theoretical work across all active projects. Attribution follows the nature of each contribution rather than institutional convention.

Paola Di Maio, PhD — Research Lead Chair, W3C AI Knowledge Representation Community Group. Three decades of systems engineering experience. Research interests: neurosymbolic AI, consciousness studies, epistemic justice, knowledge representation, contemplative technology.

Affiliated Researchers and AI Collaborators ESL works with a network of independent scholars, standards body participants, and AI systems in its research. Details of specific collaborations are documented per project

Affiliation and Contact

Epistemic Systems Lab is a research unit of the Ronin Institute for Independent Scholarship.

Inquiries: admin@ronin-institute.org

Scholars and researchers interested in ESL's work are welcome to contact us

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