Understanding complex systems, their interactions and their transformations.

ORI-C is the name of the space gathering my work. It is also the name of one of the frameworks I develop within it. The double usage can be confusing, and the site takes care to keep the two apart.

It holds analytical frameworks, research, articles, essays, experiments and tools, joined by a single approach: understanding complex systems by observing their interactions, their constraints, their transformations and the inconsistencies that appear between their components.

The work deliberately crosses several domains. Living systems, organisations, society, technology, artificial intelligence, climate, the sciences, the psyche and foresight may seem far apart. They nonetheless present comparable problems: threshold effects, feedback loops, rigidification, adaptation, information flow, accumulated dependencies, loss of room for manoeuvre and regime shifts. The aim is to understand these mechanisms without reducing their complexity to a single explanation.

ORI-C is not a single theory. The site gathers levels of work that must remain distinct: conceptual frameworks, models, hypotheses, experimental research, software tools, documentary analysis, essays and articles.

Some of the work is exploratory. Other parts have protocols, data, reproducible code or falsification criteria. Results, limits and levels of validation are stated as clearly as possible, so that an intuition, a working hypothesis and an established result are never confused. That separation is as much a part of the approach as the results themselves.

Other work explores viability, thresholds, rigidification, structural memory, relations between scales, and the conditions under which some organisations persist or transform. The MCS model, concerned with adaptation debt and coherence margins, is being integrated.

The programme has five frameworks in all, one of them archived as an antecedent. Each is presented with its object and its real status.

Part of the work consists in building protocols, analysing data, developing reproducible pipelines, comparing models and looking for the signatures that identify an anomaly, a break or a change of behaviour.

Negative and inconclusive results are part of the process. When a hypothesis withstands testing poorly, that information is kept on the same footing as a favourable result. The Research page sets out the state of the work framework by framework, with its limits.

Not all work takes the form of a model or an experimental programme. The articles explore a question, set several sources against one another, bring interactions into view. They range across the sciences, the living, organisations, society, technology, artificial intelligence, climate, foresight, mechanisms of control, epistemology and collective dynamics. They do not all share the same status: some extend the research, others are independent analyses.

The books and essays gather the longer developments on the coherence of the living, systemic viability, regime transitions, the psyche and organisations. They connect elements deliberately kept apart elsewhere.

Python, data visualisation, simulations, graph analysis, anomaly detection, comparators and interactive interfaces make it possible to test an idea rather than comment on it. Part of this work is published as open source so that it can be examined, reproduced and criticised.

The laboratory gathers the experiments and interactive visualisations. Repositories, data and protocols are hosted on GitHub and OSF.

The method is to start from a problem, identify the knowledge needed to understand it, then set the levels of analysis against one another. Field observation, documentary research, systems analysis, data, programming, visual representation and cross-domain comparison then become complementary tools.

This transversality does not aim to gather everything into a general theory. It serves to spot relations that become invisible when each element is studied on its own.

This site is also a workspace. Hypotheses are tested here, corrected or abandoned. Tools appear as new questions call for new methods of exploration.

The aim stays the same: to make complex systems more legible without concealing their uncertainties.