Creating Guidelines for Machine Learning in the Newsroom

As journalists become more adept at borrowing from data science to produce new methods of analysis, they will increasingly need guidelines for story sourcing in terabytes of messy data. Join this discussion for helpful tools and protocols and leave with a new, dedicated section of the AP stylebook.

This session is designed for:

• Newsrooms interested in better exploiting statistics and data and computer science
• Journalists who would like to better apply complex modeling in the search for stories.
• Anyone seeking to understand the role of machine learning in the newsroom

Speakers

Mark Hansen

Professor, Columbia University

Troy Thibodeaux

Data Science and News Applications Editor, The Associated Press

Marina Walker Guevara

Director of Strategic Initiatives, International Consortium of Investigative Journalists