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

In the Philippines, targeted cash grants to help poor students finish high school could double their potential income and lift them out of chronic poverty.

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

Act early, act together, and act wisely—so AI amplifies human aspiration rather than undermines social cohesion and development.

Green Revolution 2.0 requires cultivating a new generation of innovators, scientists, policymakers, and agro-entrepreneurs.

Gender data on education, health, and other sectors can guide policy interventions that aim to help reduce the gender gap.

Precision farming, AI-powered pest detection, and drone-based imaging empower farmers to optimize resources and improve yields.

Crowdsourcing can be an effective way to address pain points that limit MSMEs from getting financing.

The transformation of Seoul’s banjiha into multifunctional spaces offers innovative solutions for vulnerable communities worldwide.

Among the remedial measures are boosting revenue generation, striving for expenditure efficiency, and unburdening liabilities.