classification

Keyword

classification

The recurring problem of naming things well enough that people, systems, and search tools can act on them.

Entries: 3
Latest: June 4, 2026
Type: Keyword

Navigation for the End Times

web-developmentProject: samnavweb-designclassificationanti-extractionnonsensestart-here 6 min read

Navigation for the End Times

SamNav is a tiny independent index for Sam Altman’s blog, built because the posts are worth reading but the navigation is almost comically minimal. It adds search, topics, reading paths, related posts, and an admittedly dry Navigation Severity Score without republishing the original writing. It’s part joke, part web repair: a small Dockerized map for a corner of the internet that needed one.

Signal to Strategy: From Scientific Activity to Demand Intelligence

data-and-classificationProject: signal-to-strategybusiness-intelligenceconference-planningclassificationlife-sciencesstart-here 4 min read

Signal to Strategy: From Scientific Activity to Demand Intelligence

Scientific activity is not the same thing as scientific demand. This article argues that publications, grants, registrations, abstracts, and engagement metrics only become strategically useful when interpreted together, classified consistently, and understood in context. Scientific demand intelligence is presented as a decision-support framework for identifying where research momentum is building before it becomes obvious through late-stage operational signals. Rather than replacing expert judgment, it gives organizations a more structured way to recognize weak signals, understand emerging communities, and make better decisions about what to convene, where to invest, and when to act.

Signal to Strategy: Why Scientific Demand is Difficult to Detect

data-and-classificationProject: signal-to-strategybusiness-intelligenceconference-planningclassificationlife-sciencesstart-here 3 min read

Signal to Strategy: Why Scientific Demand is Difficult to Detect

Scientific demand is difficult to detect because it rarely appears as a single clean metric. By the time it shows up in registrations, abstracts, sponsor interest, or meeting-planning conversations, the most useful window for strategic interpretation may already have passed. This article argues that demand often emerges earlier through weak, distributed signals across publications, grants, collaborations, methods, disease areas, and shifting scientific attention. The challenge is not collecting more data, but building systems that can classify, connect, and interpret those signals in context so organizations can recognize emerging relevance sooner and make better decisions about which communities to convene and where to invest.