Insight from chaos.
Answers that survive an audit — a regulator, an assurance review, a journal, a board.
I bring research-grade methods — systems science, data engineering, AI, network analysis — to commissioned work across five practice domains, from climate to global development. Every number is cited, every causal claim traces to its source, every uncertainty is stated. Provenance is the product, not an add-on. Anyone can generate a plausible number now; I build the ones that hold up when someone checks.
Who I work with
Enterprise & compliance
Numbers that survive assurance
For teams whose numbers face a regulator, an auditor, or an assurance review — analysis built disclosure-ready, with the provenance to defend it when someone checks.
For enterprise & compliance →Foundations & mission orgs
Findings you can defend
For foundations, institutes, and mission-driven organizations — questions across all five practice domains, answered so they hold up to a board or a funder.
For foundations & mission →Teams using AI
AI you can audit
For teams whose model is confident but unchecked — a method, a replication, or a verification layer that makes the answer traceable to its sources.
For method & verification →Researchers & academics
A collaborator, not a vendor
For work meant to survive peer review — methods collaboration, systems and causal modeling, and reproducible artifacts you own outright.
For researchers & academics →One practice, three doors
Choose your door
Hire the practice
Consulting
Commissioned, senior-led analysis — every number carries its source, senior on the keyboard the entire time. Services, cases, and how an engagement runs. The consulting funds the rest.
See what's being built
Systems
The engines behind the practice — Connectome, the provenance-first data stack in private beta: the same defensibility, delivered as products you can own and check. Panthalassa and Antikythera are growing behind it.
Read & explore
Atlas
Essays, interactive explorers, the published record, and the reference shelf — the practice thinking in public. Provenance applied to knowledge itself, from the glossary to the explorers.
Or see the whole thing at once: the practice as a living systems map.
What I do
One method underneath everything
I turn a messy body of evidence into a model or an inventory where every number carries its source. The same graph, the same feedback structure, and the same provenance discipline run a GHG inventory, a corruption network, and an SDG model — so breadth here isn't a scatter of unrelated skills, it's one architecture applied where the answer has to hold up.
The through-line
Provenance & Verification
Not a capability among the others — the standard every one of them is held to. Every figure traced to its source; methodology audited, results replicable. This is the product.
Capabilities
Backbone
Systems Thinking & Causal Mapping
Causal-loop diagramming and a published method for turning literature into source-traceable causal models — the qualitative map of the system. Participatory and co-designed when the room is part of it.
Backbone
System Dynamics & Simulation
Stock-and-flow modeling, complexity science, and agent-based simulation — the quantitative engine: behavior over time, scenarios, and leverage points you can test.
Execution
Network Science & Graph Analysis
Structure, central actors, and the pressure points in a system of relationships.
Execution
Data Science & Engineering
Reproducible pipelines, data architecture, classical statistics, and visualization — the substrate the rest runs on.
Execution
AI & Machine Learning
Gap-filling models, NLP, and document extraction at scale — local, auditable, verification-gated.
Execution
Geospatial Analysis
Facility-, site-, and region-level questions answered with publication-quality maps.
Domains
Five domains. Each name opens the full domain page — the evidence, the method, and where an engagement starts. The small tags are the specific fields inside it.
Credentials
Stats
Organizations
Why this practice exists
The academic world produces methods. The consulting world ships work. They mostly do not talk to each other.
The methods that survive peer review rarely make it into the decisions getting made, and the decisions getting made are built on methods that wouldn't survive peer review. Civitas Systems sits where those two collide: PhD-grade methodology applied to commissioned work, in domains where the right answer matters more than the deck.
What I won't work on
No oil-and-gas extraction, weapons systems, or surveillance technology — unless the engagement is specifically about reducing their harm. Someone this careful about what they'll answer is careful about the answers. The refusal list is part of the offer →