Hidden Information Labs Institute
Just as neurons connect to create the mind, individual minds connect to create social intelligence. Hidden Information Labs Institute is an independent, non-profit research institute and think tank based in Canada investigating the structural, functional, and dynamic principles that govern these multi-agent systems, from individual cognition and dyads to organizations, communities, and large-scale networks. By integrating neuroscience-informed perspectives, systems theory, and applied network science, we study how collective cognition, emotion, and decision-making emerge across levels of coordination.
At HILIO, this work is unified through the Social Echoes Awareness Method (SEAM), our proprietary systemic framework for understanding how actions, signals, and incentives propagate as social echoes within and across personal, organizational, and societal systems. SEAM provides the conceptual and analytical foundation for a growing suite of applied tools, including Sentinel Network Mapping, which detects early signals, feedback loops, and vulnerability points before they amplify into systemic risk.
Our intent is to support personal agency, organizational integrity, and community resilience by developing neuroethical and decision-aware practices that help individuals and institutions act with greater awareness of their downstream social impact. We welcome connections with those interested in applying SEAM and its tools to public health systems, education, community governance, and economic equity.
Founder and Director: Anna Maria Matziorinis, PhD, Cognitive and Computational Neuroscientist,
1055 W. Georgia Street, Suite 2480, Vancouver, BC, V6E 3P3, Canada
Research into evolutionary consensus and emergent behaviors
A complex particle system exploring the phase space of multiple strange attractors simultaneously. 800,000 particles transition between Clifford, De Jong, Hopalong, and hybrid systems.
A living fractal surface that morphs through the complex plane over time. The computation creates a dynamic mesh with height values from escape-time iterations.
A hyper-realistic fabric mesh with collective intelligence, featuring position-based dynamics, multi-species evolution, and emergent pattern formation through consensus mechanisms.
...On neural mechanisms, behavioral patterns, and social networks as interconnected systems