EPISODE · Apr 21, 2021 · 33 MIN
More than Models: Building a Culture of Data Literacy and Data Ethics
from Data Science Leaders
Algorithms can have an outsized impact on society. That’s why many data science leaders have focused a lot of effort recently on defining data literacy and ethics in a way that’s operationalizable in their company culture.In this episode, Dave Cole speaks with Chris Wiggins, Chief Data Scientist for the New York Times, about why a foundation of data literacy and data ethics is so important for data scientists.What we talked about:-Building a data science team at the New York Times-Creating a data culture-The relationship between a data science team and a data analyst team-Necessary soft skills for data scientistsSome resources mentioned during the podcast:hackNYBeautiful Data: The Stories Behind Elegant Data SolutionsTune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.Listening on a desktop & can’t see the links? Just search for Data Science Leaders in your favorite podcast player.
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More than Models: Building a Culture of Data Literacy and Data Ethics
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