This report summarizes the findings of the Digital Social Vulnerability Index (DSVI) study in Niger, conducted by the SDG AI Lab (ICPSD) and the UNDP Niger Accelerator Lab. Using GIS, AI, and machine learning, the study aimed to identify the most and least vulnerable communities, better understand vulnerability drivers, and compare DSVI results with other indicators to validate the results. It is part of a broader series showcasing DSVI applications across different regions.