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Creating a Better Economy with Data Science

1 June 2017
Blog
Publisher : ISDM

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This article explores how data science can reshape economic systems to be more inclusive and sustainable. It discusses the role of data-driven insights in identifying systemic inequities, optimizing resource distribution, and improving policy design. Case examples illustrate how social impact organizations are leveraging analytics to address labour market disparities and design equitable economic interventions. The piece advocates for a shift towards evidence-based, participatory economic planning through the integration of data tools.

Author(s) :

Martin Whittaker & Tianhui Michael Li

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Key topics

Livelihood, Financial Inclusion, and Economic Empowerment

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Technology for Social Change and Organisational Efficiency

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