Opportunities Guide | Service-learning Courses
Baltimore Community Data Science
At A Glance
Course Description | Sample Project | CBO Requirements | Application & Project Dates |
A small group of students work with CBO to clean, analyze, and visualize organizational or program data | Infographic designs showing program outcomes of an after school program | Provide students with details on the project goals and uses, access to relevant data. Meet with students periodically for feedback and review | Application period: Two months prior to start of course Duration: September - December |
Course Overview
This course (September-December) aims to facilitate interactions between Johns Hopkins students with data skills and Baltimore community-based organizations (CBOs) to help support these CBOs to use data to support their causes. Students will participate in a hands-on project working with a Baltimore CBO to address data related needs.
Expectations of the CBO Partner
Partners will need to provide students with details on:
- the project goals and uses
- access to relevant data (could be de-identified or simulated if privacy is an issue)
- feedback about whether their goals are being met, and
- time and willingness to learn about how to use and possibly maintain the data product that the students work with them to create
Application & Project Dates
- Application Period: 2 months prior to start of course
- Project Dates: September - December
Project Examples
- Planning data collection so that it is tailored to assist the needs of the organization. This could include survey ethics, design, and implementation.
- Data wrangling/cleaning - working with the data to get it in a format that is readily usable for creating graphs, tables, and statistics. (This is often the most important step but often overlooked!)
- Data visualization - to enable partners to make highly flexible and effective visualizations to inform themselves and others about patterns in data.
- Dashboard creation - to showcase results in a user-friendly way through a public facing website.
- Data analysis - identify patterns about the data to assist with decision making processes and to assist with getting funding.