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This project uses alternative data, including remote sensing, to track economic activity in Syria in a data-scarce, conflict-affected context. It analyses port and trade activity, mobility patterns, internet connectivity, nighttime lights, vegetation conditions, and conflict events to monitor economic trends and support evidence-based policy.
This project uses alternative data to monitor economic trends in Niger following the 2023 coup and civil unrest. It analyzes indicators such as conflict events, nighttime lights, crop conditions, and population movement patterns using geospatial, mobility, and remote sensing data to assess the impacts of conflict and instability.
This project uses alternative data sources to monitor economic activity in Algeria where traditional data are limited. It combines datasets such as nighttime lights, air pollution, surveys, and internet connectivity, applying geospatial and statistical analysis to track economic trends and sectoral patterns.
Future Urban-Wildfire Risk Mapping (FUWRM), pronounced as "form". This repository holds the programming script files and some of the binaries that represent the predictive risk maps for wildfires in urban regions of Southern Victoria (AUS) and Northern California (USA) in 2030 and 2040.
This project uses alternative data to analyze economic activity, business dynamics, and spatial inequality in Egypt, including gender inequality. It develops indicators such as nighttime lights, business activity measures, and spatial datasets, alongside a Gender Equality Survey, to support economic analysis for the Egypt Country Memorandum
This project uses alternative data to monitor economic and poverty trends in Ethiopia. It analyzes nighttime lights, air pollution, crop productivity, conflict events, Google search trends, and crowd-sourced survey data to track economic activity, agricultural conditions, and societal responses to conflict and crisis.
The project aimed to estimate a metric of local inequality derived from openly sourced nightlight and gridded population data. By merging these data, per capita nightlight emissions values were calculated at the grid cell level and used to determine the Gini index of inequality for the 774 LGAs in Nigeria in 2023.
Title: Illuminating Human Activity: Nighttime Lights and Population Hotspots in Berlin and Accra. This mini-project explores how satellite-derived nighttime lights can be used as a proxy for human activity and urban development. Used VIIRS nighttime light radiance with gridded population data to identify spatial hotspots of intense human presence.