Equity & ethics in data journalism: Hands-on approaches to getting your data right
This self-directed course features content from the Knight Center for Journalism in the America‘s massive open online course (MOOC) titled “Equity & ethics in data journalism: Hands-on approaches to getting your data right.” The four-week course took place from June 22 – July 19, 2020. We are now making the content free and available to students who took the course and anyone else who’s interested in practical and conceptual foundations of embedding equity and ethics in data journalism stories.
with support from:
The course was taught by Heather Krause. She created and curated the content for the course, which includes video classes, readings, exercises, and more.
The course materials are broken up into five modules:
Intro Module: Introduction to the course and the outline of topics
Module 1: Essential concepts in equity and ethics for data journalism
Module 2: Gathering and collecting data for your data story
Module 4: Visualizing and communicating data for your data story
We encourage you to watch the videos, review the readings, and complete the exercises as time allows. The course materials build off each other, but the videos and readings also act as standalone resources that you can return to overtime.
Heather Krause, PStat, is a data scientist and storyteller with over a decade of experience building tools that improve our ability to access, use and make sense of data. She has a strong love of finding data, analyzing it in creative ways, finding impactful stories, and using cutting edge visualization methods to show the results. Her emphasis is on combining strong statistical analysis with clear and meaningful communication. She is currently working on implementing tools for equity and ethics in data. As the founder of two successful data science companies, she attacks the largest questions facing societies today, working with both civic and corporate organizations to improve outcomes and lives. Her relentless pursuit of clarity and realism in these projects pushed her beyond pure analysis to mastering the entire data ecosystem including award-winning work in data sourcing, modelling, and data storytelling, each incorporating bleeding edge theory and technologies.
Her work proves that data narratives can be meaningful to any audience from a boardroom to the front page. Heather is the founder of We All Count, a project for equity in data working with teams across the globe to embed a lens of ethics into their data products from funding to data collection to statistical analysis and algorithmic accountability. Her unique set of tools and contributions have been sought across a range of clients from MasterCard and Wells Fargo to the United Nations, the Canadian Government, and the Bill and Melinda Gates Foundation. She is on the Data Advisory Board of the UNHCR. She is also the Chief Data Scientist at Orb Media.