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Digital change poses transformative opportunities, as well as risks, in capturing and interpreting data in support of sustainable development goals.

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

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

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

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

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

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

Pseudo-panel methods using repeated cross-sectional surveys, which are less costly and easier to do, may offer a solution to this problem.

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