Back from a great trip to Australia 🇦🇺. Presented at the #IPC2025, shared our DEBIAS work on human mobility📱and revisited my PhD home at UQ.

Delivered seminars at UQ and Griffith University—fantastic discussions on mobility, data science & climate change.

More on DEBIAS 👉 de-bias.github.io/debias/

🚨 New PhD Opportunity!

Join our exciting project with @Ofsted at the @geodatascience on early childhood education & labour force participation.

Work with novel geospatial data & methods with real-world impact.

🗓️ Deadline: 1 June 2025
📥 Apply: lnkd.in/egTWyUT8

Today in Hong Kong! This time I am having the pleasure to join world experts to discuss new directions in the study of migration. Thanks to @guyabel.bsky.social for the organisation and invitation!

Excited to be in Montevideo 🇺🇾 for the “Measuring Migration in Latin America” workshop!

Diving into how digital traces, registers, censuses & surveys can help us better understand human mobility. Looking forward to great discussions & collaborations!

We’re building our Imago research team and are looking for 3 postdocs! A pretty exciting opportunity to join our @geodatascience.bsky.social. Help us shape the next generation of open access data products based on satellite imagery!

🗓️ Deadline: 7th March, 2025
📥 Applications: lnkd.in/eZcN5YfU

7/ Our analysis also highlights the need for responsive transit systems that adapt to behavioral patterns. From peak-hour commutes to suburban connectivity, these insights are crucial for sustainable transport. 🌱 #ClimateAction

3/ Using 20M trips from 1.9M passengers, we examined peak-hour bus rides in Beijing. Two key questions were addressed:
1️⃣ What drives spatial & temporal variability?
2️⃣ Are there tipping points where behavior shifts? 🔎

New paper fresh from the oven 🧑‍🍳🔥
1/ 🚍 We look at how predictable bus rides are, exploring the spatial & temporal variability of bus use in Beijing using smart card data & explainable machine learning. 🧵👇 #Transit #UrbanMobility

🔓https://doi.org/10.1016/j.jtrangeo.2025.104126

Nice and early start presenting some of the work we have been doing estimating and understanding the patters of population movement from and within Ukraine 🇺🇦 at the Foreign, Commonwealth & Development Office today. Keep you posted! 🚀

A year on since our specialist workshop at UCSB where I had the opportunity to meet with a stellar groups of colleagues & reflect on current societal changes and what this means for the future of GIScience. We hope it is a source of inspiration for new research ideas 🚀 doi.org/10.1080/1365...

Super excited to integrate radar image-based data products into our data service “IMAGO” with @darribas.bsky.social & @rsfrankl.bsky.social 🙌🏽. The first batch of Sentinel radar images are out! www.esa.int/Applications...

Exploring the travel-to-work origin-destination data at the LTLA level from the E&W 2021 Census. An intriguing pattern emerged. 23% of all flows take the value of 1 (ie 1 person living and working a different LTLA). 48% take values of 1-3, but there is none 0 flows. Any ideas why? would expect zeros

Today had a chance to be at a panel at an African Union workshop & share work on mobile phone data to measure migration on my new role at the UN Committee of Experts on Big Data and Data Science for Official Statistics as the lead of the migration stats subgroup. Will share more abt this role soon🤲

Seeking to leverage the real time availability of mobile phone data, we (@carmencabarn.bsky.social & Miguel) have been tracking changes in Meta user counts, to assess the impacts of the DANA in Valencia Spain. Here a policy brief published by Pop. Europe 👉🏻 is.gd/5qucab

Last Friday I presented some first analysis of our ESRC project DEBIAS w/ @carmencabarn.bsky.social .

In this first stage we are focusing on measuring and identifying key predictors of biases in human mobility data extracted from mobile phone apps.

An unexpected finding 👇