Key papers and datasets underpinning the Red Worlds engine. Please cite these if you publish work using or derived from this repo.
EXIOBASE 3 Stadler, K., Wood, R., Bulavskaya, T., Södersten, C.-J., Munoz Saavedra, F., Schmidt, S., Usubiaga, A., Acosta-Fernández, J., Kuenen, J., Bruckner, M., Giljum, S., Lutter, S., Merciai, S., Schmidt, J. H., Theurl, M. C., Plutzar, C., Kastner, T., Eisenmenger, N., Erb, K.-H., de Haan, P., & Tukker, A. (2018). EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi-Regional Input-Output Tables. Journal of Industrial Ecology, 22(3), 502–515. https://doi.org/10.1111/jiec.12715
License: CC BY-SA 4.0 — Red Worlds uses the same license to match.
pymrio Stadler, K. (2021). Pymrio — A Python Based Multi-Regional Input-Output Analysis Toolbox. Journal of Open Source Software, 6(60), 2956. https://doi.org/10.21105/joss.02956
Wood et al. (2017) — global MRIO structural decomposition analysis; informing the approach to scenario emissions attribution. Wood, R., Stadler, K., Bulavskaya, T., Lutter, S., Giljum, S., de Haan, P., Kleijn, R., Tukker, A. (2014). Global sustainability accounting — developing EXIOBASE for multi-regional footprint analysis. Sustainability, 7(1), 138–163. https://doi.org/10.3390/su7010138
(Add further methodological citations here as the engine is built out.)
Red Carbon and Red Worlds are designed by Nathan Moore. The game design
assumptions are documented in docs/design/assumptions.md.