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Colleagues,

Join us in Budapest, Hungary, on 1–2 October for the 2026 IEEE Tech Summit: Ethical AI and be part of the conversations shaping the future of artificial intelligence.

This two-day summit brings together industry leaders, researchers, policymakers, educators, and practitioners to explore how AI can be designed, governed, and implemented in ways that prioritize transparency, fairness, accountability, and societal benefit.

Through inspiring keynote presentations, engaging panel discussions, interactive breakout sessions, and valuable networking opportunities, attendees will collaborate on advancing trustworthy, responsible, and human-centered AI that benefits society.

We hope you'll join us for this important event and contribute to the dialogue on the future of ethical AI. We look forward to seeing you in Budapest!

Event Details

Description

Earth Observation and GeoAI for Climate-Resilient Urban Systems is an advanced school designed to equip the next generation of researchers, practitioners, and decision-makers with state-of-the-art Earth Observation (EO), geospatial artificial intelligence (GeoAI), and data fusion methodologies to analyze, quantify, and mitigate climate-driven risks and effects in urban systems.

Within this framework, climate-resilient Urban Systems are understood as complex socio-technical systems composed of buildings, critical infrastructure, transportation networks, public spaces, and human communities. The program emphasizes how Earth Observation (EO), multi-sensor data fusion (including optical, SAR, and microwave EO), geospatial artificial intelligence (GeoAI), and participatory sensing can be integrated to strengthen urban resilience under conditions of climate change and multi-hazard exposure.

The school combines expert lectures, structured hands-on laboratories, and a Digital City Studio living-lab experience to advanced EO analytics, GeoAI model development, and operational decision-making contexts. Participants will work with satellite imagery (Sentinel, Landsat, SAR, microwave missions), airborne data, in-situ measurements, geo-social media data and human-generated datasets using open-source tools and AI-driven methodologies to develop scalable scalable, explainable, and transferable workflows for urban risk intelligence, infrastructure vulnerability assessment, and climate perception analysis.