CliMaPan-Lab: An open-source Python framework for agent-based macroeconomic simulation of climate- and pandemic-related systemic risks

CliMaPan-Lab is a Python-based, open-source framework for agent-based macroeconomic simulation under climate and pandemic risks. Developed as an Agent-based Integrated Assessment Model (AB-IAM), it integrates macro-financial dynamics with a climate and a pandemic modules to evaluate complex policy scenarios. Designed for both newcomers and advanced users, the platform supports modular experimentation, parallelized batch runs, and reproducible workflows. The framework facilitates the analysis of compound risks and systemic interactions beyond the scope of traditional models. Code, data, and documentation are publicly available under a permissive license to ensure transparency, extensibility, and wide adoption across research and policy communities.

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Publication Details

Journal
SoftwareX
Published
2025-10-17
DOI
https://doi.org/10.1016/j.softx.2025.102408
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

CliMaPan-Lab: An open-source Python framework for agent-based macroeconomic simulation of climate- and pandemic-related systemic risks

Paola D’Orazio, Son Hong Nguyen, Anh-Duy Pham
SoftwareX
Complex Systems and Time Series Analysis
article

CliMaPan-Lab: An open-source Python framework for agent-based macroeconomic simulation of climate- and pandemic-related systemic risks

Paola D’Orazio, Son Hong Nguyen, Anh-Duy Pham
article en

Abstract

CliMaPan-Lab is a Python-based, open-source framework for agent-based macroeconomic simulation under climate and pandemic risks. Developed as an Agent-based Integrated Assessment Model (AB-IAM), it integrates macro-financial dynamics with a climate and a pandemic modules to evaluate complex policy scenarios. Designed for both newcomers and advanced users, the platform supports modular experimentation, parallelized batch runs, and reproducible workflows. The framework facilitates the analysis of compound risks and systemic interactions beyond the scope of traditional models. Code, data, and documentation are publicly available under a permissive license to ensure transparency, extensibility, and wide adoption across research and policy communities.

SoftwareXVol. 32
University of Würzburg (DE), Chemnitz University of Technology (DE), Institut d'Economie Scientifique Et de Gestion (FR)
Openalex Percentile: Top 61%
Complex Systems and Time Series Analysis
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CliMaPan-Lab: An open-source Python framework for agent-based macroeconomic simulation of climate- and pandemic-related systemic risks — Paola D’Orazio, Son Hong Nguyen, et al. · SoftwareX (2025) | TGRS Research Map | TGRS