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 🧪
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 🧪
Our new study shows that widely used global population data underrepresent rural communities—a flaw that affects policy, funding & access to services. (1/4)
Our new study shows that widely used global population data underrepresent rural communities—a flaw that affects policy, funding & access to services. (1/4)
Apply by March 2nd, 2025 from here (+ more details): www.aalto.fi/en/open-posi...
Apply by March 2nd, 2025 from here (+ more details): www.aalto.fi/en/open-posi...
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/...
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/...