🌍 Global population maps fail rural areas
Gridded population datasets systematically underestimate rural populations - by up to 84%.
This could impact policies on resources, healthcare, and disaster planning. Better rural census data is urgently needed.
🔗 doi.org/10.1038/s414...
#SciComm 🧪
📄 Read our paper: www.nature.com/articles/s41...
🎙️ Listen to the podcast: tinyurl.com/pop-pc (4/4)
Researchers & policymakers must consider how global data is collected & applied. A critical approach is key to ensuring fairer policies & better resource allocation. (3/4)
These errors have likely caused systematic disadvantages for decades—yet they often go unnoticed. If we rely on biased data, we risk reinforcing inequalities. (2/4)
How many people actually live on Earth? 🌍
Our new study shows that widely used global population data underrepresent rural communities—a flaw that affects policy, funding & access to services. (1/4)
We have just opened an exciting PhD position in GeoAI & LLMs and are looking for motivated PhD candidates! The PhD work will be supervised by me and Nico Van de Weghe from the GeoAI Research Center, Ghent University.
Apply by March 2nd, 2025 from here (+ more details): www.aalto.fi/en/open-posi...
Congrats to our #PhD student Anup Shrestha for publishing his first article! 🎉
In this interdisciplinary study, we show how to effectively link #flood #earlywarning to #earlyaction in resource-constrained settings in #Nepal 🌊 🫷
www.linkedin.com/feed/update/...
