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The course blends systems mapping, causal loop diagramming, feedback analysis, leverage point identification, and policy modeling to uncover root causes, cross-sectoral impacts, and long-term dynamics of complex sustainability challenges—from climate change and inequality to health and education.
Participants will work through real SDG case studies and collaborate on multi-actor solution modeling, enabling them to apply these tools in their own research, teaching, or professional practice.
To equip participants with the tools, mindsets, and frameworks of systems thinking to address the interconnected nature of the 17 Sustainable Development Goals, enabling more strategic, inclusive, and sustainable solutions.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
Fee: INR 8499 USD 112
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