Questions to Ask Before Using Predictive Analysis and Machine Learning When Working With Data

Register here

Are you considering using recommendation engines, predictive analysis, or machine learning to facilitate your work with data?

In today's world, these options are pervasive, often appearing in unexpected places. We're told these tools will make our services and lives easier, more effective, and better—and sometimes they do. But often, they don't. This webinar, taught by Heather Krause, the founder of We All Count, is designed to help non-data scientists understand the initial questions to ask when determining if these tools are right for them. We'll help you prepare to discuss your equity concerns with vendors and data teams, ensuring you get the answers that matter.

This is the fifth webinar in a six-webinar series about equitable data practices. If you weren't able to attend the previous webinars, we encourage you to watch the recordings prior to joining us for this one.

You can also learn more about the sixth webinar, Writing the Data Story With an Equity Lens (August 13, 10:00-11:30), and register here: here: https://zoom.us/webinar/register/WN_LYKvUGQAQOy8cbj5YudMgA

This webinar series is part of the Community-Centered Libraries Project, brought to you by the California State Library and Pacific Library Partnership. 

CALIFORNIA STATE LIBRARY AFFILIATED