It’s long been a goal of ours to work with people who develop ML models. There should be a few different applications of glyphs to the process of developing more accurate models, and with a recent data analytics challenge, we found a way to test a few of them.

Over the next few weeks, we’re going to play with the topic of Chinese funded foreign aid projects. This data, along with others about governance, natural resources, infrastructure projects, and economic information, allows us to ask interesting questions about what motivated that aid package and what the effect is on the country and their diplomatic alliances, along with regional questions about economic activity and infrastructure projects.

We’re taking information from food trackers, a workout watch, sleep sensors (Oura ring), a blood glucose monitor, and a focus survey, and trying to see how one set of behaviors influences others…43 parameters per day.

My PhD research picks up (at least in published research) where Dave left off when finishing his dissertation in 2000. He developed a reference architecture, a way of thinking about the transfer of information from a computer display to a human’s conscious perception. His experiments eventually led to a focus on data visualization and the development of the openANTZ software used in my research. But his early research is worth reviewing in order to understand the fundamental principles of neurocosmology: information interface to nervous system to human consciousness and back.