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

The Pasig River Digital Twin shows how shared geospatial data helps agencies identify pollution hotspots and coordinate action.

As Sri Lanka’s population ages, many older people in remote hill villages are being left without adequate support, services, or income security.

Invest in responsible, data-driven AI adoption backed by strong governance, pilot testing, and cross-sector collaboration.

Efforts focused on revegetation, grazing ban, hydrological connection, and community engagement to restore the wetland ecosystems, boost carbon sequestration, and improve livelihood.

Involves economic analysis, capturing and enhancing project value, institutional collaboration, and financing through standardized processes and targeted funds.

Valuation approaches include cost-based, revealed preference, stated preference, and benefit transfer.

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

A project in Mongolia mobilized ger youth to take an active role in community development.

Data analysis and tax transparency can guide governments in rationalizing their tax expenditure policies while still creating a level playing field for businesses.