Scaling Reader Engagement With Machine Learning

  • Thursday, Oct 15 – 10:30 AM – 11:15 AM ET (14:30 – 15:15 UTC)
  • #ONA20
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This Under the Hood session from members of The New York Times Research and Development team will showcase a question-and-answer tool that uses machine learning to group related questions and serve up answers based on our reporting.

Join to learn how editors’ perspectives are prioritized in the tool and how to address bias in machine learning, and engage directly with the tool’s leads about what it takes to get projects like this off the ground.

This session is designed for:

  • Editors who would be like to be a part of machine-learning implementations in their newsrooms
  • Newsroom leaders trying to keep up with new tech tools
  • Anyone interested in hearing from The New York Times’ R&D team

Speakers

Amelia Pisapia
R&D Strategist, The New York Times

Jack Cook
R&D Engineer, The New York Times
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Dalit Shalom
Sr. Product Designer, The New York Times
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