Two lines of inquiry.
The first is a PhD arc on adaptive systems: affective computing, recommendation, and the agency governance of machine decision-making under uncertainty. How adaptive systems become experientially meaningful, and where they fail. What accuracy optimises, what it misses, and what follows if engagement is not an acceptable endpoint.
The second is older and wider. Books that shaped the thinking before the PhD and alongside it — Lisa Feldman Barrett’s How Emotions Are Made foremost among them — and ideas about technology, systems, institutions, and the process through which any of that gets tested in practice.
Four standards hold across both.
- One claim per piece, stated plainly.
- A boundary around what the piece does not claim.
- Evidence or provenance, cited.
- A portable idea — a term, a distinction, a move — that outlives the example.