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/
The article that now been published and can be accessed via the link below:
Straub, V. J., Morgan, D., Bright, J., & Margetts, H. (2023). Artificial intelligence in government: Concepts, standards, and a unified framework. Government Information Quarterly, 40(4), 101881. https://www.sciencedirect.com/science/article/pii/S0740624X23000813
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
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.
All content on the page can be reused subject to providing credit and license notice under a Creative Commons Attribution 4.0 International license.
Corresponding authors: vstraub@turing.ac.uk and jbright@turing.ac.uk.