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We’ll break down the essential aspects of creating impactful data narratives for political advocacy and public education. A recent analysis of the Boston Police budget by the ACLU of Massachusetts (https://data.aclum.org/2020/06/05/unpacking-the-boston-police-budget/), created in R, will serve as a case study. We’ll talk through four phases of the process:

  1. Initial data collection - where to find public data
  2. Visualization - how to create accessible, branded graphics
  3. Narration - how to shape an analysis into a story
  4. Publication - how to share your work with a wider audience

This discussion will focus more on process than on technical details; everyone should feel welcome to attend regardless of their technical background and familiarity with machine learning and data science concepts. We’ll be using a fireside chat format where we’ll ask clarifying questions and our goal is to help make these concepts approachable to folks of all backgrounds.

Agenda:
7:00 - Join early to network
7:10 - Opening announcements
7:15 - Lauren’s presentation
7:30 - Discussion between Lauren and WiMLDS organizer
7:45 - Open Q&A with the audience
8:15 - Breakout rooms for further discussion and networking

Speaker bio:
Lauren Chambers is the Technology for Liberty Fellow at the ACLU of Massachusetts, where she explores government data in order to inform citizens and lawmakers about the effects of legislation and political leadership on our civil liberties. She received her Bachelor's degree from Yale in 2017, where she double-majored in astrophysics and African American studies. Her undergraduate African American studies thesis, “A Different Kind of Dark Energy: Placing Race and Gender in Physics” examines how physics and astronomy theory and praxis are influenced by race, gender, and identity. After graduating, Lauren spent two years in Baltimore supporting NASA’s James Webb Space Telescope mission as a software developer.

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