Sai Ravela, a principal research scientist at MIT's Department of Earth, Atmospheric and Planetary Sciences, leads a team that uses game‑based computer models to help coastal communities tackle climate stress. Funded by a 2025 J‑WAFS India grant, the project integrates downscaled climate projections, participatory decision‑making, and community‑driven adaptation planning.
Downscaling converts large‑scale climate outputs into detailed local hazard maps, estimating the likelihood of floods, droughts, heat waves, and salinity stress. Using these maps, Ravela and collaborators build an impact graph that blends surveys, scientific models, and local knowledge to simulate how different interventions affect the coupled system of land, water, salinity, and livelihoods.
To bridge the gap between hazard maps and the people they describe, the team devised a three‑stage game: (1) a physical "snakes and ladders" board; (2) a hybrid version where a computer generates events and calculates risk percentages; (3) a fully digital simulation playable on a smartphone app. The game was piloted in two villages on India’s Sundarbans and a neighboring Bangladeshi village, with continuous refinement through informal community sessions.
Results showed that simply raising embankments often falls short because it does not break the underlying salinization cycle. Integrated strategies—mangrove restoration, canal excavation, groundwater recharge, diversified agriculture and fisheries, and agrivoltaics—yielded better long‑term returns and increased resilience. The game also created a safe space to explore dramatic options such as seasonal migration or livelihood shifts that would be hard to discuss in reality.
Optimal group size emerged around ten to twelve players, balancing idea diversity with manageable discussion. Initially, participants pursued individual profit, but as simulated horizons extended they gravitated toward cooperative tactics, for example establishing a community disaster‑relief fund. Repeated play led to collective behavior patterns that aligned with local conditions and sustainability goals.
The game‑based approach offers three key advantages: (1) it surfaces local insights often missed by formal decision‑making, highlighting gender‑based differences in portfolio diversification; (2) it levels the playing field, removing status or wealth advantages in the simulation; (3) it lets users test high‑risk, high‑cost, or socially sensitive interventions without real‑world consequences.
Looking ahead, interest has grown in Bangladesh and Thailand, with plans to adapt the framework for other ASEAN nations and parts of Latin America. The team stresses the need for longitudinal studies to confirm that the approach solves real problems before scaling up.
Blogger's Review: This game‑driven framework transforms a complex climate‑agriculture system into an interactive decision laboratory, boosting risk awareness and providing grassroots‑validated policy options—an approach worth expanding to more vulnerable regions.