Wearonomics Lab
Wearonomics is a research lab and analytical framework focused on validating wearable locomotion datasets.
The lab processes longitudinal walking data, segments activity into interpretable units, and applies transparent rules to identify genuine movement while excluding inactivity, implausible speeds, and artefacts. Validation outputs are designed to be readable, explainable, and suitable for research interpretation rather than commercial optimisation.
Wearonomics also explores how validated movement can be interpreted as a measurable signal, forming the empirical basis for examining economic and policy-oriented questions around activity recognition and incentive design.
The lab is not a product. It is a working research environment that reflects methodological discipline, empirical testing, and ethical caution.
Data Analytics Research Lab
This lab supports broader research into data validation, prediction, and signal interpretation.
Originally grounded in financial and enterprise analytics, the lab evolved into a research environment where analytical models are tested against real-world complexity. Emphasis is placed on transparency, interpretability, and robustness rather than opaque automation.
The lab serves as a foundation for experimental frameworks that later inform more focused research, including Wearonomics.