If you visit the Clairvoyint website, it says that we turn expert analytical methodology into reusable agents that can perform analysis and produce reports, briefs, and assessments while preserving the evidence behind their findings. That's a reasonably concise description of the product. But what does it actually mean? The answer goes back a couple of … Continue reading What We’re Building at Clairvoyint
Geospatial Infrastructure Should Outlive Its Technology
On August 10, 1846, Congress established the Smithsonian Institution with a simple mission: “the increase and diffusion of knowledge,” and gave it “perpetual succession.” One hundred eighty years later, the Smithsonian is still here, though almost everything about how it carries out that mission has changed. (siarchives.si.edu) The people who established the Smithsonian couldn't have … Continue reading Geospatial Infrastructure Should Outlive Its Technology
The Geography Everyone Loves to Hate
I am an inveterate infrastructure geek due to work I did earlier in my career in critical infrastructure protection. One of my projects was to build a system to model the behavior of commercial freight rail. Of course, I am also a programmer. Between railroads and writing software to model them, it was impossible to … Continue reading The Geography Everyone Loves to Hate
Mission Assurance and Human Geography
In the late 1990s and early 2000s I worked in critical infrastructure protection, building geospatial applications and data sets to model how infrastructure networks behave. I worked on systems like switched telecommunications, commercial rail, and refined petroleum products, along with the ways those systems depend on one another. Working on those teams, I learned a … Continue reading Mission Assurance and Human Geography
Interpretation and Ownership
In 1951, Paul Fitts edited a report on human engineering for air-navigation and traffic-control systems. One of its lasting artifacts was a deceptively simple allocation device that came to be known as the Fitts list: what humans are better at and what machines are better at (Fitts, 1951). In shorthand, it became HABA-MABA: Humans Are … Continue reading Interpretation and Ownership




