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From a policy and economic standpoint, a paid sick leave program for COVID-19 is cost-effective in promoting behaviors that reduce disease spread.
Proactive integrity checks can improve public trust in law enforcement agencies and advance societal development.
Machine learning and satellite imagery can provide data needed by governments for effective property tax management more quickly and efficiently.
Tax reforms aimed at a 10% reduction in smoking prevalence could reduce the population of smokers by 38.7 million and prevent 11.6 million premature deaths.
Policy responses to population aging should promote economic growth, higher productivity, and higher income for workers.
Youth can help address noncommunicable diseases (NCDs) by supporting behavior change efforts and initiatives targeted toward encouraging other youth to make healthier choices.
The People's Republic of China is experimenting with incentive-based mechanisms to resolve challenges in managing its trans-provincial watersheds.
Innovative lending practices can convert energy efficiency into high rates of return for companies.
Tablet devices and smartphones can be used to improve learning in public schools by providing real-time data on performance of teachers and students.
Leverage machine learning and satellite imagery for informed resource allocation to enhance road quality and address development challenges.