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How has Data Science evolved to improve society?

1 February 2022
Media Article
Publisher : Silicon Republic

18544

This article traces the evolution of data science and its increasing impact on improving society. It highlights how the field has matured from mere data analysis to leveraging advanced algorithms and machine learning for predictive insights and automated decision-making. Data science now plays a crucial role in addressing complex societal challenges, including healthcare advancements, sustainable environmental practices, and optimized urban living. The article emphasizes its role in fostering social good by enabling more informed policy development, efficient resource allocation, and the creation of innovative solutions that enhance the quality of life globally.

Author(s) :

Jenny Darmody

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Key topics

Data Science for social impact, Environmental Sustainability and Climate Action, Health and Wellbeing, Urban Development and Housing

Also found in

Scaling Social Impact Systems Thinking and Complex Problem Design Technology for Social Change and Organisational Efficiency

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