Technology keeps reorganizing civilization faster than civilization can respond. This is not a new problem. It is a systems problem. And it finally has a science.
Complex systems at every scale — from chronic illness to organizational dysfunction to civilizational drift — fail in recognizable ways. The failure patterns are not accidents. They are attractors: stable configurations maintained by feedback dynamics. Nonlinear Systemics develops and applies the science of diagnosing those attractors and shifting them.
Technology keeps reorganizing civilization faster than civilization can respond. This is not a new problem. It is a systems problem. And it finally has a science.
In 1963, a group of mid-century intellectuals asked a question that turned out to be premature by sixty years. Raymond Aron, Robert Oppenheimer, and George Kennan were not asking whether technology was good or bad — they were asking what technology does to the social order. They were right then. The diagnosis has been correct for sixty years. The response still hasn't arrived at the necessary scale.
Read the article →Systems science doesn't study a domain — it studies the structure underneath all domains. Why that matters for every field that studies anything.
Read the article →The dominant writing advice is backwards for expository and instructional writing. A systems explanation of why, and what to do instead.
Read the article →Applying complex systems science to the design of ebooks, courses, and other information-rich digital work.
Read the article →Five active research programs, one methodology — attractor engineering — applied across every scale of complex systems. Each program is a distinct application domain; all share the same complex systems framework. The foundational methods are documented in the Systems Science Update.
Browse Systems Science Update →The ISRD framework and its theoretical foundations — nine core concepts in three tiers, from attractor ontology to intervention operators.
Browse the program →A systems-level explanation of why rest alone fails ME/CFS patients, and what the feedback dynamics actually suggest about pacing and recovery.
Read the analysis →Spiritual practice, ritual, and meaning-making modeled as attractors — the most persistent self-organizing structures in human history, analyzed through complex systems science.
Read the program overview →Mapping the attractor landscape of human civilization — where current trajectories lead, what holds them in place, and where leverage might exist to shift them before the window closes.
Read the program overview →Nonlinear Systemics is an applied complex systems science practice — research, consulting, and publishing focused on understanding, diagnosing, and steering nonlinear systems: biological, social, and technological.
The core claim is that the most important problems of this century are attractor problems — situations where the harmful pattern is stable, self-maintaining, and not susceptible to solutions that treat it as a technical problem or a compliance problem. They require attractor engineering: identifying what holds the pattern in place, finding the leverage points, and designing interventions that shift it.
The science for doing this rigorously has existed for decades. The gap is deployment at scale. That is the work.
Questions about the research, methods, or applications — or to discuss a collaboration or consulting engagement.