Join the GeoAI Challenge in 2024 (third edition), a competition aimed at providing solutions for collaboratively addressing real-world geospatial problems by applying artificial intelligence (AI)/machine learning (ML).  Through this platform, participants will attempt to address the UN Sustainable Development Goals (SDGs) related problems using real-world data. In addition, participants will acquire hands-on experience in AI/ML in areas relevant to solving SDGs and compete for prizes, recognition, and certificates.

More info: https://aiforgood.itu.int/about-ai-for-good/geoai-challenge/

We are pleased to announce that the Geoinformatics Engineering program has successfully enrolled 36 freshmen for the 1st semester of the 2023-24 academic year. Notably, 33 out of the 36 students are international, highlighting the program’s global appeal.

Geographic Diversity and Academic Background

The majority of our international students hail from China and Iran. This geographical diversity enriches the academic environment, providing varied perspectives and opportunities for cross-cultural collaboration.

When it comes to academic backgrounds, 55% of the enrolled students have a foundation in Geomatics. This is followed by 24% with a background in Computer Science. The remaining 21% come from varied academic disciplines, further contributing to a rich, multidisciplinary educational setting.

The diverse and international makeup of this year’s freshmen class in the Geoinformatics Engineering program is a testament to its growing reputation and its appeal across different academic backgrounds.

We look forward to an enriching and productive academic year ahead.

Introductory lecture on the combined use of open-source GIS software and open global spatial dataset to compute SDG indicators. The lecture provides a theoretical/informative preamble to SDGs and their connection to geospatial data, and a hands-on computer exercise session. The training material presented is available online (isprs-gis-sdg.readthedocs.io) and it was developed within a project funded by the International Society of Photogrammetry and Remote Sensing (ISPRS).