article-ai-gov-framework
Webpage supporting the project: "Artificial intelligence in government: Concepts, standards, and a unified framework"
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 4 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, sciencedirect.com -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.8%) to scientific vocabulary
Repository
Webpage supporting the project: "Artificial intelligence in government: Concepts, standards, and a unified framework"
Basic Info
- Host: GitHub
- Owner: vincejstraub
- License: cc-by-4.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://ai-for-public-services.github.io/ai-gov-framework/
- Size: 10.9 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
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
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.
Owner
- Name: Vincent Straub
- Login: vincejstraub
- Kind: user
- Company: Alan Turing Institute
- Website: https://vincejstraub.github.io/personal-site/
- Twitter: vincentjstraub
- Repositories: 3
- Profile: https://github.com/vincejstraub
Researcher at Alan Turing Institute interested in AI, collective intelligence, computational social science & more.
Citation (CITATION.bib)
@misc{https://doi.org/10.48550/arxiv.2210.17218,
doi = {10.48550/ARXIV.2210.17218},
url = {https://arxiv.org/abs/2210.17218},
author = {Straub, Vincent J. and Morgan, Deborah and Bright, Jonathan and Margetts, Helen},
keywords = {Computers and Society (cs.CY), Artificial Intelligence (cs.AI), Human-Computer Interaction (cs.HC), Machine Learning (cs.LG), Systems and Control (eess.SY), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
title = {Artificial intelligence in government: Concepts, standards, and a unified framework},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
GitHub Events
Total
- Watch event: 1
- Push event: 2
Last Year
- Watch event: 1
- Push event: 2
Dependencies
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- zipp ==3.15.0