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Working with the Invisible Institute the Citizens Police Data Project, Chicago’s first open source, free and publicly accessible database of digitized police disciplinary records we created a draft mockup app of Judge Observations.

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hci_project

Getting Started

This is a project to manage a flask app and database with mongodb and heroku.

What if there were a publicly accessible rating and reviews system for the court system? In this project, we attempt to support on-going projects that observe court proceedings in Cook County, IL. The goal of court watching is to provide policy makers with actionable data about judges and support wider initiative for transparency in the courts. From a human computer interaction (HCI) perspective, our goal is to enable users to interact with court observation data.

Goal

Enable court watchers to interact with the data that they collected and allow policymakers to make informed decisions about judges. Accomplish this goal by creating a prototype application that allows users to interact with data.

Database

Install all requirements. See requirements.txt or pip install requirements.txt

Configure environment. See utils/databaser.py

Main

A temporary set of starter code. After configuration, run main.py to update the mongodb.

disposition table is a record of decisions that judges have made about people after they are arrested.

The zipped file contains a csv file (use read_csv).

The .bz2 is a compressed pandas pickle - retains all column dtypes (use read_pickle).

gforms.csv -> a csv file containing google form responses

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Working with the Invisible Institute the Citizens Police Data Project, Chicago’s first open source, free and publicly accessible database of digitized police disciplinary records we created a draft mockup app of Judge Observations.

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