Area
Governance & anti-corruption
This is where my work in network analysis of corruption, political-economy mapping, and governance diagnostics lives. Corruption is usually described one actor at a time — this official, that firm. I find it more useful to look at the structure: the pattern of relationships between political parties, state-owned enterprises, and corporate actors that lets influence flow. When you map that structure, anti-corruption work can target the arrangement rather than chasing individuals one by one. My work in this area comes out of a systems-modeling background and uses graph data science to make the structure visible.
Evidence
The work here
The anchor project in this area maps political-corporate structure as a network. It's presented with illustrative structure only — no real names — because the underlying relationships are sensitive.
Method
The method here
What this area draws on: network and graph data science to represent actors and the ties between them; systems thinking to reason about how influence propagates through that structure; and the same provenance discipline I use elsewhere, so a claim about who is connected to whom can be traced to its source. Where I show a network publicly, I use illustrative structure rather than real identities unless the data is already public and safe to attribute.
Where this area leads
If you're a foundation, institute, or mission-driven organization working on governance or accountability, the foundations lane is the direct route. Tell me the question and what data you can share.