Predicting Sustainable Development Goals (SDG) Scores by 2030: A Machine Learning Approach with ARIMAX and Linear Regression Models

Forecasting Sustainable Development Goals (SDG) Scores by 2030 We use AI-influenced predictors to forecast SDG scores for different global regions. By applying ARIMAX and Linear Regression models, we can highlight priority areas for action and targeted policies to improve SDG scores globally. Our study develops forecasting models using Python in Google Colab, focusing on regional groupings to minimize missing data issues. The ARIMAX and LR models predict SDG scores across six regions from 2022 to 2030. The forecasted scores reveal varied regional progress, with OECD countries leading, followed by Eastern Europe, Asia, and Latin America. Policymakers can leverage AI to support regions lagging in SDG achievement. Our study indicates an overall upward trend in SDG scores up to 2030. Strong political, cultural, and socio-economic structures correlate with higher SDG scores. We suggest future research should explore economic, social, and environmental predictors, refine forecasting models, and assess the influence of policy changes on SDG outcomes. AI Solutions for Business Transformation Discover how AI can redefine your company’s way of work, identify automation opportunities, define KPIs, select AI solutions, and implement gradually for business impact. Connect with us at hello@itinai.com for AI KPI management advice and stay tuned on our Telegram and Twitter for continuous insights into leveraging AI. AI Solutions for Sales Processes and Customer Engagement Explore how AI can redefine your sales processes and customer engagement at itinai.com. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom