Rosa Aguilar
Rosa Aguilar is originally from Venezuela and holds two master's degrees and a PhD. Before joining ITC at the University of Twente, she worked as a deputy president of the Geographic Institute of Venezuela. She previously accumulated experience in Geographic Information Systems (GIS), remotely sensed image analysis, spatial database management, and spatial data infrastructure (SDI).
Rosa was recently appointed as an Assistant Professor at the University of Twente and is an active member of the QGIS community. She enjoys working with communities in participatory contexts as well as developing machine learning models for evidence-based decisions. She also advocates for more females in STEM.
Sessions
Artificial intelligence is disrupting many fields of knowledge. The Geoscience domain is not exempt from such disruptions. For that reason, understanding machine learning workflows is crucial. This workshop aims to demystify artificial intelligence (AI) for geospatial applications, introducing key concepts, tools, and techniques. Participants will gain hands-on experience with open-source AI tools and learn the fundamentals of AI and its practical applications in geospatial science. We will work with Jupyter notebooks and Python. The workshop will focus on machine learning, specifically in unsupervised and supervised machine learning approaches. In this way, participants will be able to get a basic understanding of artificial intelligence and how it can be applied.
During the first part of the workshop, instructors will dedicate a few minutes to setting up the basis of AI by introducing key concepts required to build a GEO AI project. During the second part of the workshop, participants will develop geo-AI projects concerning supervised classification, regression, and clustering. They will also apply common metrics for model performance evaluation and visualize the results. There will be opportunities for questions and discussions during the last part of the session.