itsaquestion / agedist-gen

Parametrises stochastic ageing processes to produce desired steady-state age distributions.

Emerging Empirical Age Structures in Agent-Based Models [UNDER CONSTRUCTION]

This public repository contains code and data associated with the method we have developed for emerging age structures in agent-based models. The associated preprint is posted at TKTKTK.

This project was developed by K.R. Fair and O.A. Guerrero, within the Public Policy Programme at the Alan Turing Institute. Please direct all correspondence to K.R. Fair ([email protected]).

You will find all instructions for running simulations here within the code folder. All data required to run the model is described here within the data folder.

Repository Structure

├── LICENSE
├── README.md       <- README for project users.
│
├── data
│   ├── required    <- All data required to run the model.
│   └── results     <- All simulation results.
│
├── code            <- Jupyter notebooks for classifying age distributions and running simulations.
└──

System & Hardware Requirements

• macOS Monterey version 12.6 (or similar)

• Sufficient RAM to support storage of data structures during simulations

Installation Guides

All software should install within a few minutes on a standard computer, the versions listed here are those the scripts have been tested on.

• Python Version 3.9.12 https://www.python.org/downloads/
• Spyder Version 5.3.3 (IDE for python) https://www.spyder-ide.org/

Acknowledgements

This work was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/W006022/1, particularly the "Shocks and Resilience" theme within that grant & The Alan Turing Institute.