The source code for this package is located in on Github here, and for detailed information on the installation and use of this package, as well as several tutorials, please see the Documentation. For specific requests for new functionality, or bug reports, please add an Issue to the repository.
Support for users is primarily hosted on the Mimi Framework forum, where we also post PSA topics with recent software updates and important information for users. Please get in touch with David Anthoff if you have further questions about using this framework or want to be involved in any way with this effort.
The Mimi developement team recently participated in the 2019 Association of Environmental and Resource Economists (AERE) summer conference during the pre-conference workshop on Advances in Integrated Assessment Models. This included both a presentation and a hands-on session demonstrating various use cases for Mimi. The Github repository here contains a) all slides from the workshop and b) all the code from the hands on sessions, which may be of interest to Mimi users. Importantly note that the linked code represents as a snapwhot of Mimi at the time of the workshop, and will not be updated to reflect new changes.
Models using Mimi
Several models already use the Mimi framework, including those linked below.
- Mimi-SNEASY.jl (currently in closed beta)
- Mimi-FAIR.jl (currently in closed beta)
- Mimi-MAGICC.jl (CH4 parts currently in closed beta)
- Mimi-HECTOR.jl (CH4 parts currently in closed beta)
- Mimi-CIAM.jl (currently in closed beta)
- Mimi-BRICK.jl (currently in closed beta)
For convenience, several models are registered in the MimiRegistry, and operate as packages with the Julia package manager Pkg. For details on connecting to this central Mimi registry, see the Mimi Documentation.
The models currently included in the registry include those linked below.
Contributions to Mimi are most welcome! You can interact with the Mimi development team via issues and pull requests on Github, and in the Mimi Framework forum.
This work is supported by the Alfred P. Sloan Foundation and by the National Science Foundation through the Network for Sustainable Climate Risk Management (SCRiM) under NSF cooperative agreement GEO-1240507.