@guanghuachi @EugeniaGiraudy @michaelcbailey @drew_m_johnston

The @nytopinion provide some amazing #dataviz of the estimates (behind their paywall): https://t.co/NZyYE14PLg #dataviz

We estimate a 64% decrease in migration during the #COVID19 pandemic, followed by a rebound in 2022 to a rate 24% higher than pre-pandemic levels. #poptwitter

We estimated 39.1 million international migrants in 2022, representing 0.63% of the population in the sampled countries. Our figures correlated strongly with migration data from official statistics The estimates are #OpenAccess on @humdata: https://t.co/a11OINzQx2

📢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

📢 Happy to share that my co-authors & I have been awarded the 2024 @ipums Research Award for our study on the impacts of #climatechange on internal #migration worldwide using @ipumsi data 🔗 https://t.co/OiphzvEKQr 🔗 https://t.co/WtOK9OW5ND We are very grateful for this award!

Full #OpenAccess to the estimates will come soon, when the journal paper based on the work is published.

An @arxiv paper on our method, led by @Meta Data for Good researchers, is out now:

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

Access 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝟯.𝟭 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗶𝘁𝘁𝗴𝗲𝗻𝘀𝘁𝗲𝗶𝗻 𝗖𝗲𝗻𝘁𝗿𝗲 𝗗𝗮𝘁𝗮 𝗘𝘅𝗽𝗹𝗼𝗿𝗲𝗿 ⬇️ 🔗 WIC Data Explorer: https://t.co/fQwPgnm9xC 🔗 R package: https://t.co/R4URd8hgAT 🔗 Zenodo: https://t.co/F825z3HOpk @IIASAVienna @WiCVienna @oeaw

🚨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

Updated country-to-country #migration flow estimates for WPP2024 📄Bilateral: https://t.co/GLlup0sQpG 📄Bilateral by sex: https://t.co/kLjZP4KEzY 🖥️Update details: https://t.co/Z8LiMy1kAC 📔Original @ScientificData papers: https://t.co/aT4cX12Uwp & https://t.co/iUZIxlivLB

Finally out📢 Happy to share our new study in @NatureClimate on the impacts of drought & aridity on internal migration worldwide 🌍 We show that #climate can be an important #migration driver but not for everyone & everywhere https://t.co/OiphzvEKQr Here's what we find 🧵 1/

How is #ClimateChange reshaping #migration patterns? A new @NatureClimate study led by IIASA's @RmnHoffmann provides the first global analysis of how drought and aridity drive internal migration 📊 Read more 👉 https://t.co/j30t3uUAa0 🌍 @guyabelguyabel @popclima @WiCVienna

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

Updated post on visualizing the evolution of squad compositions at UEFA European Championships #EURO2024 #rstats https://t.co/2p5AHWHmjc

🚨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