More than Models: Building a Culture of Data Literacy and Data Ethics

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 scientists

Some resources mentioned during the podcast:

hackNY

Beautiful Data: The Stories Behind Elegant Data Solutions

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