“Data for Good” can address pressing global challenges, but its impact is hindered by limited access, weak governance, skill gaps, and unprepared institutions. The COVID-19 pandemic highlighted these barriers, with fragmented data systems and missed opportunities for action. Closing this gap requires inclusive infrastructure, ethical standards, skilled “data bilinguals,” and institutional readiness to turn data into real-world impact.
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