Daily

Every class session will start and end with a writing prompt that will be used for class discussions. This course will involve some lectures and speakers, but will largely involve writing exercises, discussion/reflection activities, and teamwork on the data science project. We want to cultivate a culture that respects all viewpoints and values all experiences, where there are complicated answers, and where a growth mindset is upheld.

Weekly

Class Sessions

Third Term

Week 1

Course and Context - Historical and Present

Summary Content Homework
(please do before week 2)
Resources
This week will focus on the rationale, structure, philosophy, and goals of the course.
We will also examine resources and discuss how the historical and current context of Johns Hopkins in the Baltimore Community may influence our work.
* SOURCE Module 1: How History Impacts Our Work * Black Butterfly Academy: Baltimore Apartheid
* Mitigating Bias Training
Extra Reading About History:
* Greenwood Tulsa Massacre
* Rosewood Massacre
* Red Summer
* Not in My Neighborhood: How Bigotry Shaped a Great American City
* Henrietta Lacks: science must right a historical wrong
Extra Reading About Bias:
* Discrimination in Workplace Dynamics: Toward a Structural Account of Disparate Treatment Theory
Week 2

Critical Service Learning

Summary Homework
(please do before week 3)
Resources
This week Tyler Derreth, the Associate Director of SOURCE, will discuss what critical service learning is and how it differs from other forms of service. Traditional vs Critical Service Learning * Product or Process? Reciprocity or Solidarity
* Theoretical roots of CSL
* A case study of CSL
* SOURCE Dos and don’ts
Week 3

Critical Reflection Practices

Summary Content Homework
(please do before week 4)
Resources
This week we will discuss how and why there is a focus on social and historical context and not just the data science for this course. We will talk about how this context can or perhaps should influence how we perform the data science tasks planned and how we interact with community partners. * What is critical reflection?
* Example Rubric for Reflection
* Models of reflection
* Course Guide to Critical Reflection
* Approaching Critical Service-Learning Assignment
* Critical Reflection Review Assignment
Extra Reading:
* Critical Reflective Practice
* Critical Reflection in Higher Education Review
Extra Videos:
* “What, So What, Now What” Model video
* Understanding reflective practice video
Week 4

Project Planning and Forecasting

Summary Content Homework
(please do before next week)
Resources
This week we will discuss more specifically about how students will interact with partners, as well as examples of what has and has not worked well in past similar projects. Students will meet with their project group for the first time and start assigning student roles. * Project planning form
* Project organization and infrastructure suggestions
* Git & GitHub Assignment * SOURCE Dos and don’ts
* Project Student Roles
* Project Reminders
Week 5

Reproducibility & Data Security/Privacy/Ethics

Summary Content Homework
(please do before next week)
Resources
This week we will discuss topics related to reproducibility, as well as data privacy, security, and ethics and how we can incorporate best practices into our projects. We will also discuss updates about each project. * Version Control with GitHub (slides) * CBO Research and Reflection Assignment * Intro Reproducibility Course (check back soon if link is broken)
* Advanced Reproducibility Course
Week 6

Work on the project

Summary Homework
(please do before next week)
Resources
This week we will focus on working on our projects and will continue to get familiar with GitHub. Work on the project! (Please track your work on Slack - details coming on Slack) * SOURCE Dos and don’ts
* Project Student Roles
* Project Reminders
Week 7

Work on the project

Summary Homework
(please do before next week)
Resources
This week we will focus on working on our projects. Work on the project! (Please track your work on Slack - details coming on Slack) * SOURCE Dos and don’ts
* Project Student Roles
* Project Reminders
Week 8

Critical reflection and updates

Summary Homework
(please do before next week)
Resources
This week we will focus on working on our projects and we will check in on how things are going. Work on the project! (Please track your work on Slack - details coming on Slack) * SOURCE Dos and don’ts
* Project Student Roles
* Project Reminders

Forth Term

Time Focus Summary
Week 9 & 10 & 11 Focus on projects! These weeks we will focus on the products for our projects.
Week 12 20 min (15 min + 5 min for questions) Internal presentations This week we will check in with the class to describe what we have done so far. The core data science products should largely be complete. Last 30 min for adjustment plan. In the following weeks we will shift focus to implementation plans and documentation.
Week 13 Adjustments and Implementation This week will we modify core products based on feedback and start focusing on documentation, implementation, and training materials.
Week 14 Presentation of products to organizations This week we will present our core data science products to the organizations. We will discuss our implementation/training plans with them and continue to work on these materials.
Week 15 Implementation and Sustainability These weeks we will especially focus on how the community partners will use the data project product and how they might sustain the product over time, as well as training for the community partners if they asked for it.
Week 16 Reflections, Future plans, and Wrap-up This week we will focus on how the implementation is going, lessons learned, and thoughts about future directions for the community organization.