https://github.com/evamaxfield/cdp-data-interactive

A Quarto generated and updated version of our paper: 'Councils in Action: Automating the Curation of Municipal Governance Data for Research'
https://github.com/evamaxfield/cdp-data-interactive

civic-tech government-data quarto

Last synced: 27 days ago
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A Quarto generated and updated version of our paper: 'Councils in Action: Automating the Curation of Municipal Governance Data for Research'

• Host: GitHub
• URL: https://github.com/evamaxfield/cdp-data-interactive
• Owner: evamaxfield
• Created: 2022-10-07T18:57:29.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-12-06T21:22:10.000Z (almost 2 years ago)
• Last Synced: 2024-10-07T19:42:32.697Z (about 1 month ago)
• Topics: civic-tech, government-data, quarto
• Language: TeX
• Homepage: https://evamaxfield.github.io/cdp-data-interactive/
• Size: 8.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# cdp-data-interactive

[![CI](https://github.com/evamaxfield/cdp-data-interactive/actions/workflows/ci.yml/badge.svg)](https://github.com/evamaxfield/cdp-data-interactive/actions/workflows/ci.yml)

This repository stores the files needed for [quarto](https://quarto.org/) to generate a slightly modified, up-to-date, interactive version our [ASIS&T AM22 conference paper](https://arxiv.org/abs/2204.09110).

View the rendered article at: [https://evamaxfield.github.io/cdp-data-interactive/](https://evamaxfield.github.io/cdp-data-interactive/)

### Abstract

Large scale comparative research into municipal governance is often prohibitively difficult due to a lack of high-quality data.

Recent advances in speech-to-text algorithms and natural language processing techniques has made it possible to more

easily collect and analyze this type of data. In this paper, we introduce an open-source platform,

the Council Data Project (CDP), to curate novel datasets for research into municipal governance. The contribution of

this work is two-fold: 1. We demonstrate that CDP, as an infrastructure, can be used to assemble reliable comparative

data across municipalities; 2. We provide exploratory analysis to show how CDP data can be used to gain insight into how

municipal governments perform over time. We conclude by describing future directions for research on and with CDP such as

the development of machine learning models for speaker annotation, outline generation, and named entity recognition to

the linking of data for large-scale comparative research.

---

### Development Commands

```

just --list

Available recipes:

    build   # build page

    clean   # remove build files

    default # list all available commands

    setup name="cdp-data-interactive" # create conda env and install all deps

    watch   # watch file, build, and serve

```