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

Real-time data is critical for reopening borders, managing destinations, and for the industry to build back better from the crisis.

Good quality environmental data and statistics are critical to monitoring and evaluating progress toward the SDGs in Mongolia, and developing policies to achieve these goals.

Analyzing project life cycle data and making it accessible can transform how development projects are designed and delivered.

Seoul’s Owl Service has reduced the use of passenger cars by more than 2 million trips per year.

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

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

A comprehensive data dashboard helps Seoul’s leaders make strategic and timely decisions.

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

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