I first came into contact with GIS software while studying urban planning. The practical process of transforming raw data into a clear visual representation and working toward a specific goal really appealed to me; to me, it felt a bit like solving a puzzle. That’s why I went on to specialize further in this field during my graduate studies in Geo-Information Science.
There, I learned to work with various spatial analyses and programming languages, and I was able to link social issues to spatial data—such as land-use planning, infrastructure, and the energy transition. During this program, I focused primarily on combining spatial data with new technologies such as machine learning, deep learning, and virtual and augmented reality development.
The combination of these two areas really appeals to me because it offers so many new possibilities; I believe there is much to be gained from this new technology, and that is where the future lies. At Geo-ICT, I can delve deeper into these topics.
