This ongoing series applies an integrative artistic research methodology that combines data science, behavioural analysis, and visual arts to investigate the informational structure of the artistic process.

Each painting is generated through an intuitive, process-based approach. During creation, I record behavioural, emotional, and contextual variables using a standardized protocol. These datasets include qualitative self-reports and quantitative image metrics extracted from sequential photographs of the evolving artwork.

Post-creation, I conduct a multi-layered analysis.

Image Analysis: Using Python-based computational techniques (e.g., fractal dimension, colorimetry, texture metrics), I quantify the visual evolution of each piece.

Behavioural & Emotional Analysis: I process the accompanying behavioural and emotional datasets to identify temporal patterns, fluctuations, and correlations.

Multidimensional Modelling: I integrate the visual, behavioural, and emotional datasets to model their interdependencies, revealing latent relationships and structures not directly observable through visual inspection or self-report.

The series investigates the dynamic interplay between feminine and masculine energy archetypes as expressed through the creative process. By analysing how these energies manifest across visual, behavioural, and emotional dimensions, the work aims to generate a deeper understanding of internal dynamics encoded in artistic production.

In the interactive notebooks, I share the image analysis.

I will soon share the reports of the full analysis of each piece.