Project

IMAGO

DEBIAS


UN Mobile Phone Data Task Team

Migration Sentiment, Digital Technology and AI

Human Mobility and Hazards

Making satellite imagery useful, usable and used across social research and policy.

Developing methods to measure and correct biases in digital-footprint mobility data.


Methods, standards and practice for responsible mobile phone data use in official statistics.

Measures migration attitudes from social media using theory-informed AI methods.
Maps spatial and network dynamics of anti-immigration discourse over time.
Builds scalable multilingual LLM pipelines for policy-relevant monitoring.

Tracks how climate extremes, conflict and epidemics disrupt mobility systems.
Combines digital trace data with demographic baselines for near-real-time inference.
Develops bias-corrected, policy-ready evidence for humanitarian and planning decisions.
Social Health Hub
Social determinants of severe mental illness and place-based pathways for intervention.
Research hub page