PICALLW connects software engineering with research into data, complex systems, measurement and automation. The goal is not to manufacture spectacular conclusions, but to build tools that allow ideas to be tested against data.
Mathematical exploration of time-dependent relationships.
World State Explorer aligns financial, geomagnetic, weather, lunar, seismic and collective-attention data in time and treats them as a multidimensional state of the world.
Rather than starting with a single predetermined theory, the system searches for correlations, time lags, nonlinear dependencies, similar historical states and candidate predictive relationships. A core part of the approach is separating discovery and validation data and controlling false discoveries during large-scale testing.
Different PICALLW projects share the same foundation: measurable data, transparent algorithms, practical software implementation and clearly stated limits of interpretation.
Multidimensional time series, time lags, similar historical states, anomalies and hypothesis validation.
Research into GDV/EPI imagery together with HRV and ECG, including more transparent image analysis and longitudinal trends.
Field diagnostics, project data, HMI design and Android visualization as one engineering workflow.
The interactive research tool is publicly accessible. Results are exploratory statistical relationships and do not establish causation or guarantee future events.