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GSoC 2026

OG-CLEWS: Scientific Programming & Model Integration

Currently, national climate and fiscal policy analyses operate in isolated domains. The CLEWS framework models physical constraints across energy, land, and water systems, whereas OG-Core projects macroeconomic and demographic trajectories. Because their output schemas, unit normalizations, and temporal resolutions are fundamentally incompatible, analysts must manually translate data between the two models to understand how physical policies impact long-term fiscal stability. This project establishes the first automated, bidirectional integration between OSeMOSYS and OG-Core within the MUIOGO platform. Building upon the asynchronous execution architecture and API contracts recently established in the repository, the project will construct a multi-step convergence pipeline. This system will orchestrate the execution of CLEWS, perform the necessary schema translations, run the OG-Core macroeconomic model, and iteratively feed the fiscal outputs back into the physical model until a mathematical fixed point is reached. The development is structured across four strictly ordered deliverables: 1. A stabilized, cross-platform MUIOGO runtime environment supported by comprehensive automated testing. 2. A native OG-Core execution module featuring a dedicated scenario manager and a visual results dashboard. 3. A coupled data pipeline designed to strictly normalize and translate critical bridge variables between the two distinct architectures. 4. A final convergence orchestrator capable of managing the iterative loop, complete with configurable stopping criteria and automated divergence detection.

Project details

Contributor

Aditya Kushwaha

Mentors

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Technologies

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