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Internship Title:
Application of Game Theory in Selection of Best Possible Remedial Measure for Flood-Induced Vulnerability
Internship Description:
This internship explores an innovative integration of game theory with flood risk management to identify optimal remedial strategies for flood-induced vulnerabilities. It is designed for students and early-career researchers with a passion for hydroinformatics, strategic modeling, and interdisciplinary problem-solving.
As extreme flood events become more frequent due to climate change and urban expansion, the challenge of selecting effective, equitable, and sustainable interventions has never been more pressing. Traditional cost-benefit analysis often fails to account for the complex interplay between competing stakeholders, regional trade-offs, and long-term systemic consequences. This internship seeks to address that gap by applying principles from game theory—a branch of mathematics that models strategic interaction—to simulate stakeholder behavior, decision-making dynamics, and potential outcomes of various flood mitigation strategies.
Interns will engage in:
Stakeholder Analysis: Identifying key actors (e.g., government agencies, local communities, private developers, environmental groups) and modeling their incentives, payoffs, and potential cooperation or conflict.
Strategy Simulation: Using non-cooperative and cooperative game models—such as Nash equilibrium, bargaining solutions, and repeated games—to assess how different players might respond to a range of intervention strategies like embankment construction, wetland restoration, or early warning systems.
Decision Support Modeling: Developing an analytical framework or prototype tool that ranks flood mitigation measures not just by effectiveness or cost, but by feasibility within a given political and social landscape.
Field-Driven Insight: (Optional but encouraged) Reviewing case studies or real-world scenarios—like riverine flooding in Brahmaputra or urban flash floods in Kolkata—to calibrate game-theoretic models with actual governance structures, cultural constraints, and historical responses.
By the end of the internship, participants will contribute to a pioneering decision-support methodology that balances technical soundness with real-world social dynamics. This project not only supports academic growth but also has the potential to inform policy development, community-based adaptation, and flood resilience planning.
Preferred Background:
Hydrology, Civil Engineering, GIS, Economics, Environmental Policy, Applied Mathematics, or related fields. Prior exposure to game theory, flood modeling, or stakeholder engagement will be an advantage.
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