Role of Data Science and Statistical Modeling in Social Science Research and Public Policy Analysis

Authors

  • Ali Rehman Department of Statistics, University of Lahore, Lahore, Pakistan, Author

Keywords:

Climate change, Social sciences, Economics, Environmental governance, Policy makers, Interdisciplinary approach, Economic development, Environmental impacts

Abstract

Climate change is a global challenge that affects not only environmental issues but also economic, social, and governance aspects. This paper sheds light on the interdisciplinary approach that explores the links between social sciences, economics, and environmental governance. The aim of this research is to integrate these different fields to make climate change policies more effective and comprehensive. In this paper, we will analyze various policy solutions that guide the resolution of the climate crisis through the collaboration of these sectors.

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References

Irk, E. (2025). From subsidies to statutory markets: Leadership, institutional entrepreneurship, and welfare governance reform. Lex Localis - Journal of Local Self-Government, 23(S6), 9549–9566. https://doi.org/10.52152/s59sjh53

Ahmad, N. R. (2026). AI-enabled public governance in developing states: Service delivery gains, accountability risks, and a practical risk-based regulatory model. Lex Localis - Journal of Local Self-Government, 24(S1), 99–117. https://doi.org/10.52152/wja5db40

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Published

2024-06-30

How to Cite

Role of Data Science and Statistical Modeling in Social Science Research and Public Policy Analysis. (2024). Al-Aasar, 1(2), 39-42. https://al-aasar.com/index.php/Journal/article/view/1463