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

In the People’s Republic of China, a leasing program is helping reduce pollution by putting more low-cost, efficient, and clean buses on the road.

Rapid and low-risk prototyping of solutions to problems promotes innovative and cost-effective approaches to urban development.

Success lies in industry links, technology, skills development, new modes of education delivery, and school-to-work transition programs.

Embracing student-centered teaching, personalized learning, and context-driven approaches for meaningful education.

A cost-effective and scalable approach may improve real-time pollution assessment for low- and middle-income countries.

Digital technology is key to increasing financial inclusion, but it comes with new challenges and risks.

Statisticians use satellite images of Earth’s night lights to measure social and economic activity.

Tajikistan combined irrigation system repairs with agriculture policy reforms to increase food security and farm productivity.

An after-school program for teens that develops technical competence in 21st-century skills is being replicated across the country and beyond.