CREWSnet will fuse long‑range climate forecasting, economic modeling and socio‑economic data into an open‑source, widely accessible system to inform local decision‑making.
Climate and economic forecasting. CREWSnet will extend proven forecasting and simulation methods to predict climate impacts at village‑ and community‑scale in western Bangladesh. The team will define thresholds in terms of heatwave length and intensity, cyclone frequency and strength, flooding extent, and salinity levels of soil and groundwater, and relate these thresholds to local economic and social conditions.
Our partners at the Eltahir Group (MIT) recently completed relevant work in this area:
Decision support. Based on these thresholds, CREWSnet will assess if, when and how ecosystems in western Bangladesh will exceed their capacity to sustain human life, or where adaptation in place is possible. Where adaptation is possible, the team will work with local communities to implement climate resilience technologies; elsewhere, CREWSnet will work with communities to proactively manage disruptive change.
Information sharing. To ensure this information reaches the widest audience possible in Bangladesh, CREWSnet will build a suite of information‑sharing tools designed for two‑way, multimedia communications to support low‑ and high‑literate populations as well as urban and rural demographics.