Measuring Progress towards Sustainable Development Goals: Data-driven Approaches and Policy Implications

Prem Singh

Abstract



This abstract delves into the pivotal role of data-driven approaches in measuring progress towards Sustainable Development Goals (SDGs) and elucidates the consequential policy implications. The pursuit of SDGs demands precise and comprehensive measurement methodologies, and this paper scrutinizes how data-driven frameworks, leveraging diverse sources such as remote sensing, surveys, and big data analytics, contribute to assessing and monitoring progress effectively. It navigates the complexities of data collection, integration, and analysis, emphasizing their pivotal role in informing evidence-based policies for sustainable development. Furthermore, the abstract underscores the need for policy frameworks that leverage these data-driven insights to facilitate targeted interventions, foster partnerships, and allocate resources efficiently. Ultimately, it elucidates how harnessing data-driven approaches is instrumental in steering global efforts towards achieving the Sustainable Development Goals and fostering a more sustainable and equitable future.

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