Metadata-Version: 2.4
Name: policy-priority-inference
Version: 3.0.6
Summary: The model of the Policy Priority Inference impact-evaluation toolkit and its calibration algorithm.
License-Expression: MIT
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: numpy
Dynamic: license-file

<img src="./logo.png" width="350"/>

# <center> Policy Priority Inference </center>

This is the official repository of the Policy Priority Inference (PPI) research programme, created by [Dr. Omar A. Guerrero](http://oguerr.com) and [Prof. Gonzalo Castañeda](https://www.social-complexity.com).
Here you will find the source code of the latest version of the agent-computing model underlying PPI, as well as tutorials to get started.

## References

This version of the model will appear in the forthcoming book:

* Guerrero O. and Castañeda G. (2023) *Complexity Economics and Sustainable Development: A Computational Framework for Policy Priority Inference.* Cambridge University Press (forthcoming).

It can also be consulted in the working paper:

* Guerrero O., Guariso D., and Castañeda G. (2023) *Aid effectiveness in sustainable development: A multidimensional approach.* World Development (https://doi.org/10.1016/j.worlddev.2023.106256).


Previous further information on publications, impact, media coverage, and supporting materials visit its <a href="http://policypriority.org" target="_blank">homepage</a> .

