Copernicus Hubs
and Institutions

Standing next to the actual hardware in EODC, brought something into focus that diagrams in a lecture room do not: the energy demands, the cooling systems, the physical scale of what it takes to run Earth observation and AI workloads at this level. It's easy to talk about "cloud computing" as if it's weightless. It was also great to understand the layers involved from satellite data acquisition, to petabyte-scale storage, to the scheduling systems that allocate compute jobs across multiple cities

UNOOSA reframed how I think about space technology. It's easy to associate space with exploration or commercial satellites, but the work here is grounded in floods, earthquakes, and food security. The disaster management cycle framework is something I'd like to apply more deliberately in my own thinking about systems, because it's a reminder that response alone is insufficient. Counting trees from imagery sounds trivial, but it points toward large-scale agricultural monitoring, carbon accounting, and land-use tracking. The fact that UNOOSA is already thinking about responsible AI guidelines at this stage, rather than retroactively, also stood out as good practice.