📦Download the complete estimates of annual global migration flow and stock datasets:
🔗https://t.co/6CLpWaT8Jl
🔗https://t.co/dzTTJtC6iN
🛠Access the full deep learning architecture and plot reproduction code on GitHub:
🔗https://t.co/xItsPiHZmI
@LSEnews@HKUFoSS@IIASAVienna
🚨Out today in @Nature our new paper uses deep learning to map four decades of global human migration.
By building the first comprehensive dataset of global annual flows (1990-2023), we reveal that migration has nearly tripled since 2000.
🔗https://t.co/DuPQKF1asT
📊The data explorer features a variety of interactive data visualisation methods.
Switch between the global maps, chord diagrams and Sankey charts to track migration across different country corridors - with options for toggling map types, filtering chord sizes and many more
Global migration has increased from 13 million people per year in 2000 to around 35 million in 2023. The data, published in Nature today, come from the most detailed maps of global migration produced in the 33 years.
https://t.co/omgdu51s73
📢New paper out on measuring global #migration flows using online data in @PNASNews
We use privacy-protected records from over 3 billion Facebook users to estimate migration flows between 181 countries, accounting for biases in social media usage.
🔗https://t.co/OUYIqxqnc5
The @nytopinion features a #dataviz of our new global migration flow estimates.
https://t.co/NZyYE14PLg
Using privacy protected records from three billion Facebook users, we estimated country-to-country #migration flows at monthly granularity for 181 countries.
Updated #migration flow estimates to match new @UNDESA stock data
📄Bilateral: https://t.co/GLlup0tofe
📄Bilateral by sex: https://t.co/kLjZP4Lcpw
🖥️Update details: https://t.co/GijOvaVzd4
📔Original @ScientificData papers: https://t.co/aT4cX13slX & https://t.co/mzIAq7LIGg
🚨JOB ALERT🚨
We are recruiting for multiple Research Assistant Professor (RAP) / Post-doctoral Fellow (PDF) positions in the HKU Research Hub of Population Studies.
https://t.co/YZhVW6RQd4
#demography#population#poptwitter
Introducing a global model for projecting migration until 2050, Kluge et al. factor in age, education, and gender, revealing that socioeconomic scenarios significantly impact migration flows. Explore the new future migration projections with us!
https://t.co/xYR3Zp6MVq
✍️New on the #IIASAblog: researchers @dil_yildiz and @guyabelguyabel highlight a new statistical model that merges traditional data with real-time Facebook data to estimate EU migrant populations, providing key insights for policymakers. #POPtwitter#demography@WiCVienna
➡️https://t.co/0w5XbH4Mr7