📢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
🚨JOB ALERT🚨
Two new #demography positions @HKUFoSS. Please circulate widely.
Professor and Director of the Research Hub of Population Studies: https://t.co/7xXGYLPEXn
Tenure-Track Associate Professor https://t.co/ZCfyzqR6ci
#poptwitter#AcademicTwitter
In this study, the authors develop a statistical model that integrates #data on EU migrant stocks using traditional sources such as census, population registers and Labour Force Survey.
@dil_yildiz@guyabelguyabel@ingmarweber@ezagheni@StijnHoorens
https://t.co/OWtENvnPae
🚨Check out our new article in @IMRjournal with Arkadiusz Wiśniowski, @guyabelguyabel@ingmarweber@ezagheni Cloé Gendronneau and @StijnHoorens
Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union
https://t.co/e7uiER22g9