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SeanaMutinda/Interdsiciplinary-Advanced-Data-Analysis-AI-For-Socio-Economic-Resilience-Kenya

Domaine:

socioeconomic

Type de record:

project
Créateur:
Sea
Hôte:
Interdisciplinary approach for socio-economic resilience: integrating macroeconomic indicators, social accounting matrices and UN SDG data in Kenya # Interdisciplinary Advanced Data Science and Artificial Intelligence approach for Socio-Economic Resilience and Sustainability Assessment of Kenya ## Project Overview This repository presents a **master’s-level, policy-oriented socio-economic analysis of Kenya**, structured to align with **World Bank analytical, transparency, and reproducibility standards**. The project integrates **macroeconomic indicators (World Development Indicators – WDI)**, **structural economic analysis (Social Accounting Matrix – SAM)**, and **sustainability metrics (United Nations Sustainable Development Goals – SDGs)** to assess Kenya’s economic resilience, structural linkages, and sustainability performance. The analysis is implemented in a fully reproducible Python-based workflow and is designed to support **evidence-based policy evaluation**, **development planning**, and **academic research**. ## Objectives The core objectives of this project are to: 1. Analyse Kenya’s macroeconomic and financial performance using World Bank WDI indicators. 2. Examine structural inter-sectoral linkages and multiplier effects through SAM-based analysis. 3. Evaluate Kenya’s progress toward sustainable development using SDG indicators. 4. Provide an integrated, policy-relevant narrative consistent with World Bank analytical practices. ## Analytical Framework The study follows a **multi-phase analytical framework**, consistent with development economics and World Bank country diagnostics: ### Phase I: Macroeconomic and Financial Analysis (WDI) * Descriptive and trend analysis of key macroeconomic indicators * Growth, inflation, fiscal balance, and external sector assessment * Identification of structural vulnerabilities and resilience patterns ### Phase II: Structural Economic Analysis (SAM) * Construction and interpretation of SAM-based sectoral linkages * Multiplier analysis to identify high-impact sectors * Assessment of production, income, and demand transmission channels ### Phase III: …

Visit

github.com

Tags

aieconomicseconomicsmodelmachine-learningsocialsocialsciences

Licenses

MIT

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