Rosa Aguilar
Presenting author: Rosa Aguilar
Assistant professor at University of Twente, The Netherlands. Formal Education: PhD in Urban Planning – Computer Science background.
Rosa is an Assistant Professor at the University of Twente, where she coordinates the GeoAI module of the UNIGIS Master's programme. She is an active member of the QGIS community and brings a genuine enthusiasm for working with communities in participatory contexts. Her research focuses on developing machine learning models that support evidence-based decisions — and beyond her academic work, she is a dedicated advocate for women in STEM.
Session
Reproducibility in geospatial science is hindered by opaque data, proprietary software, and complex machine learning workflows. This talk highlights challenges in deep learning reproducibility and presents practical strategies, tools, and documentation practices to create transparent, repeatable experiments using open‑source technologies.