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AI and satellite data improve poverty mapping in Indonesia and Maldives, enabling targeted solutions through data-driven insights.

Crises like a pandemic underscore the importance of alternative sources of high-quality and timely data in developing effective measures.

AI and digital innovation can help extend working lives, strengthen pensions, and build more resilient systems for the aging population.

Leverage machine learning and satellite imagery for informed resource allocation to enhance road quality and address development challenges.

Granular socioeconomic data assists digital nomads make informed decisions about their destinations and helps policymakers address disparities and foster growth.

Select the most appropriate measurement method—walking, digitization, or parcel corner GPS—based on specific local characteristics.

Addressing data gaps, investing in human resources, and using technologies provide policymakers with insights to make informed climate-related decisions.

Statisticians turn to digital solutions and nontraditional methods for faster data collection, processing, and dissemination to inform crisis response.

Leverage data integration, administrative data, and other targeted methods for data collection and analysis.

Analysis of geographically granular data is essential to identify vulnerable areas and optimize resource distribution.