This research investigates cognitive diversity in software engineering. Through eye-tracking and think-aloud studies, it shows that engineers approach problems differently, while existing software tools often favour particular thinking styles. Designing more inclusive tools could improve performance, broaden participation in decision-making, and reduce unintended bias in the technologies we build.

This project addresses the gap between national and local forest data by integrating Spanish National Forest Inventories, forest maps, and municipal boundaries into interactive dashboards. Using Palencia as a case study, it tracks long-term evolution of pine and oak forests, supporting local decision-making through accessible visualization of forest stocks, carbon storage, and ecosystem services.