Companion page for Artificial intelligence in government: Concepts, standards, and a unified framework

This repo contains all code and data and the companion page for the article Artificial intelligence in government: Concepts, standards, and a unified framework, written by Vincent Straub, Deborah Morgan, Jonathan Bright, and Helen Margetts. The page hosts tables and visualizations presented in the article which may be reused under a Creative Commons Attribution 4.0 International license.

The page can be accessed at: https://ai-for-public-services.github.io/ai-gov-framework/

Installation and use

Description of files contained in repository:

├── code/
│   └── notebooks/  --> This directory contains a jupyter notebooks for plotting Figure 1C
│   └── src  --> This directory contains all modules for scraping articles, extracting keywords and creating a .gexf file
├── data/ 
│   └── processed/  -->  This directory contains the processed search results in a CSV, network stats, and the cooccurence_network .gexf file
│   └── raw/   -->  This directory contains the raw search search results in a CSV
├── requirements.txt   ---> This file contains the requirements needed to reproduce the analysis

Citation

Straub, V. J., Morgan, D., Bright, J., and Margetts, H. (2022). Artificial intelligence in government: Concepts, standards, and a unified framework. arXiv preprint arXiv:2210.17218. DOI: https://doi.org/10.48550/arXiv.2210.17218.

You can also use this BibTeX entry.

License

All content on the page can be reused subject to providing credit and license notice under a Creative Commons Attribution 4.0 International license.

Contact

Corresponding authors: vstraub@turing.ac.uk and jbright@turing.ac.uk.