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MIT Researchers Develop Game-Based Models to Tackle Climate Risk in Coastal Communities

Sai Ravela, a principal research scientist at MIT, is leading a project that uses game-based computer models to help coastal communities address unique geographical and environmental challenges posed by climate change. The initiative, funded by a J-WAFS India Grant, focuses on agricultural decision-making under climate stress and aims to enhance collective resilience.

Ravela's project combines downscaled climate modeling, participatory decision-making, and community-based adaptation planning. Researchers create detailed local climate projections from large-scale models to estimate risks from extreme weather events like floods, droughts, and heat waves. These simulations help communities understand potential outcomes for agricultural productivity, land use, and habitability.

The team integrates surveys, scientific models, and local knowledge to build impact graphs, allowing exploration of regional responses to simulated weather events. Troubled by the disconnect between hazard maps and affected populations, Ravela developed a game-based approach to engage communities directly in decision-making, addressing immediate concerns about future livelihood failures.

The game-based process involves three stages: a physical board game, a mixed game with computer-generated events, and a detailed cellphone app simulation. Tested in villages in India's Sundarbans region and a bordering village in Bangladesh, the project emphasizes collaboration with local residents and partners to tailor the game to specific conditions.

Coastal communities in these areas face intensifying waterlogging and drought due to rising riverbeds, land subsidence, and saltwater intrusion. This salinization cycle damages crops like Boro rice. The game allows players to see how various interventions, from embankments to mangrove restoration and diversified agriculture, affect the coupled system of land, water, salinity, and livelihoods, revealing the benefits of integrated strategies.

The game also provides a safe space to explore difficult alternatives like seasonal migration and livelihood shifts, turning uncertainty into a shared decision space. By testing policies and observing trade-offs, communities can develop informed strategies and gain ownership of solutions, moving beyond reactive problem-solving.

The game's efficacy stems from its ability to democratize the decision-making process, allowing all participants, regardless of status, to contribute and have their ideas tested equally. It also enables exploration of risky or socially difficult choices without real-world consequences, fostering collective agency and informed conversation.

The project has garnered interest in Bangladesh and Thailand, with simulations adaptable to local conditions. Ravela plans to expand the project to other regions, emphasizing the need to establish longitudinal outcomes to ensure the games address real problems and foster collaboration among communities.

AI-samenvatting op basis van de bron.