BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …

Recent advances in artificial intelligence and deep machine learning have created a step
change in how to measure human development indicators, in particular asset-based …

Accurate and comprehensive measurements of economic well-being are fundamental inputs
into both research and policy, but such measures are unavailable at a local level in many …

The application of machine learning (ML) in a range of geospatial tasks is increasingly
common but often relies on globally available covariates such as satellite imagery that can …

Large Language Models (LLMs) inherently carry the biases contained in their training
corpora, which can lead to the perpetuation of societal harm. As the impact of these …

Urban region profiling from web-sourced data is of utmost importance for urban computing.
We are witnessing a blossom of LLMs for various fields, especially in multi-modal data …

Combining satellite imagery with machine learning (SIML) has the potential to address
global challenges by remotely estimating socioeconomic and environmental conditions in …

Accurate local-level poverty measurement is an essential task for governments and
humanitarian organizations to track the progress towards improving livelihoods and …

The Sustainable Development Goals (SDG) framework aims to end poverty, improve health
and education, reduce inequality, design sustainable cities, support economic growth, tackle …

Accurate estimation of gross domestic product (GDP) at small geographies is of great
significance to evaluate the distribution and dynamics of socio-economic development …