A new study using data from one billion mobile phones has shown how wealth and age create a hidden divide in how people respond to heatwaves.
The data showed whether people were able to stay at home or forced to travel for work and essentials.
Read more: https://t.co/4B0x8IMpti
Early warnings save lives - but only if they reach the right people in time.
🌍📊 New research shows how WorldPop data and multi-hazard alerts reduce cyclone risk, exposure, and recovery time.
Learn more: https://t.co/uTf02dpn4e
#EarlyWarningSystems#DataForGood#ClimateRisk
🔥 Do heat adaptation strategies really work?
A study of 1.1 billion devices across 366 Chinese cities shows cooling centres matter - but impacts vary by heat, wealth & age.
🔗Read and listen: https://t.co/8CeNKQgx1P
#ClimateChange#ExtremeHeat#Cities#Adaptation
🌍 New review paper by Prof Xin Lu & co-authored by WorldPop’s Dr Shengjie Lai shows how high-resolution population & #mobility data are transforming #epidemic modelling & public health.
📊#DataForGood#GlobalHealth
Read and listen: https://t.co/Cy8O1vqyX3
🌍New global 1 km population projections (2025–2100) under SSP1–5, supporting climate, health & development research. Explore the #FuturePop dataset! #OpenData#Population
📊 0.2 version release, updates coming soon.
📰🔊Read and listen: https://t.co/ZbWEnZFV9w
📰 The November 2025 edition of the WorldPop Newsletter is out!
🌍Explore new data releases, research updates & impact stories.
✒️Don't miss out - sign up for our next edition!
🔗https://t.co/SDIJlPeFE0
🔬 A new #MOOD#HorizonEU study reveals how #COVID19 modelling, data use & collaboration evolved across #Europe - offering key lessons for future pandemics.
📖 🔊 Read more + listen: https://t.co/peSiynfVuy
This study uses #data from over 1.1 billion devices in #China to show that multi-hazard early-warning systems boost #disaster resilience by reducing population exposure & speeding recovery after tropical cyclones.
Read: https://t.co/YJlgvOzNPH
Subscribe: https://t.co/lYQ1PGQ7dA
📹 Dr Natalia Tejedor Garavito presents WorldPop’s cutting-edge work at CrisisReady’s Café Catastrófico ☕
🌍 From mapping war-torn Ukraine to guiding flood relief, this data saves lives.
Watch her talk (🇪🇸 w/ 🇬🇧 subs): https://t.co/ddbFUtrSWI
#DataForGood@crisisreadiness
Missed The Power of Population Data webinar?
🎥 The recording & presentation slides are now available! Dive into the latest on WorldPop’s Global 2 dataset and how it's shaping smarter decisions worldwide. 🌍📊
🔗 https://t.co/2zFgVwt7m0
🌍 Tomorrow we launch WorldPop Global 2: A new era of global high-resolution #populationdata (2015–2030)!
Built with AI & satellite imagery, it's open, powerful & ready for use in health, planning & disaster response.
🔗https://t.co/GJPhUczAga
#Geospatial#DataForGood
WorldPop & #UNICEF team up to map zero‑dose children using #AI, satellite data & #geospatial analytics so we can locate and vaccinate those who've never received routine immunisations.
Turning high‑resolution data into lifesaving action. #vaccination
https://t.co/BPAYjocDuX
🌍 Big data, big impact! Join us on 4 Sep for the launch of WorldPop Global 2015–2030 - a new open-access, high-res, age & sex-disaggregated population estimate dataset covering 242 countries
📅 4 Sep | 🕒 3 pm BST
🔗 Register: https://t.co/wEh2ZoAx2m
#PopulationData#OpenData
🔥 As extreme heat & aging populations collide #Europe faces a deadly future. A new study using WorldPop data warns heat-related deaths could soar - especially among the elderly - unless bold measures are taken. #ClimateCrisis#HeatRisk#PublicHealth
https://t.co/LKzEQ8CfuQ
🚨 New preprint: 73 high-res, global, multi-temporal geospatial datasets! Covering 2015–2023 at ~100m resolution, these open data power better population modelling for health, policy & more. https://t.co/DvK3XYVOaI
We are excited to be co-creating the future of AI-powered geospatial intelligence through a transformational knowledge partnership with @WorldPopProject and geospatial research hub at @unisouthampton.
Over the last 3 days, we explored how the fusion of AI, human geography, and location-informed intelligence can power inclusive economies, especially in underserved communities across the Global South.
By integrating population dynamics, spatial mobility, and settlement characterization with real-time, contextual AI models, this collaboration aims to bring global research to local relevance and impact. This is what it means to truly localize AI for good.
Our delegation, represented by @bayoadekanmbi of @EqualyzAI and @rKyrian of @dsn_ai_network engaged in high-impact ideation and applied solution-building sessions with some of the UK’s brightest minds.
The trip also presented a great opportunity to engage with the legendary @DameWendyDBE, Regius Professor of Computer Science at @unisouthampton, and are deeply grateful to our host @andytatem, Director of @WorldPopProject and leading expert in spatial demography and epidemiology.
Special thanks to other brilliant contributors including Sada Saxton, Ian Coady, Dr. Jessica Espey, @Lai_CDC, @SarchilQ, Dr. Edson Utazi, @ChibuzorNnanatu, @NatuTejedor, @yankeyortis, Alexandra Frosch, Dr. Somnath Chaudhuri, Dr. Winfred Dotse-Gborgbortsi, Dr. Krishnaveni K.S, Dr. Mohamed Megheib, Safia Siddiqi-Hibbert and many others.
Together, we are building a future where AI is not just intelligent, but location-aware, context-sensitive, and impact-driven. Indeed, emerging markets deserve tailored solutions and this collaboration is a step forward.
#AIforGood #GeospatialAI #EqualyzAI #WorldPop #UniversityOfSouthampton #DataScienceNigeria #SpatialDemography
🚀 A true honour to welcome Professor Dame Wendy Hall to WorldPop!
We had an inspiring & wide-ranging conversation on using AI to fill global demographic data gaps🌍- plus insights into UK data sharing initiatives & the power of interdisciplinary collaboration 💡🔬
#AIforGood
🌍 Introducing the new WorldPop #QGIS Plugin for Population Disaggregation
✅ Disaggregate population data top-down using spatial covariates
✅ Generate gridded pop estimates at 100m res
✅ Disaggregate population by age/sex
✅ No need to program!
https://t.co/GHGOhqy1ru
🚨 New preprint led by Dorothea Woods describing 🌍 global gridded multi-temporal datasets to support human population distribution #modelling
🔗 https://t.co/AIAlBUNCol
💻 Data: https://t.co/iHT6WwGxbU
🧮 Code: https://t.co/Hb4EhMi7lr