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By Benedict Cheong. Posted April 1, 2022
COVID-19 has highlighted the importance of collaboration among governments and stakeholders to better prepare for the next unknown crisis.
The fashion industry employs millions worldwide, but its SMEs have faced unprecedented challenges and a widening digitalization gap during the pandemic.
Asian governments and social scientists need to work together to respond to the pandemic and its aftermath.
By Abishek Narayan, Christoph Luthi, Ma. Laarni Revilla, Deepanshu Agarwal and KE Seetha Ram. Posted January 18, 2021
Over a billion people across Asia and the Pacific still lack access to basic sanitation services (JMP 2019). Most low- and middle-income countries in Central Asia, South Asia, and East Asia still do not have safely managed sanitation services. Further, only a fifth of the countries practicing open defecation are on track to eliminate this practice around the world. Clearly, business as usual in the sanitation sector has not solved this challenge in the last several decades.
Do the socioeconomic spillovers from sewage treatment plants in developing countries justify heavy investment in them?
Decent sanitation for all is crucial for rapidly urbanizing developing countries, such as India. As large volumes of wastewater in developing countries remain untreated, the investments in treatment facilities have not kept pace with the steady increases in population and urbanization and the resulting increases in wastewater volumes.
By Peter J. Morgan. Posted June 28, 2019
Education is a key driver for sustainable development (UNESCO 2018). However, the goal of realizing education for all in the Digital Age faces two major challenges. First, many countries and economies are still not ensuring quality education for all. Millions of children and youth still lack the necessary tools to realize their potential amid economic, political, and social strife. Second, with the emergence of the fourth Industrial Revolution and the growing use of automation, big data, and artificial intelligence, human labor is being substituted increasingly by machines or algorithms.
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