Justice, Diversity, Equity and Inclusion (JEDI) are challenges across STEM and in the emerging field of data science. In this workshop a panel will discuss these issues, covering topics ranging from inclusion and allyship to algorithmic bias and data feminism, and how justice-oriented approaches to data science teaching and learning may promote JEDI.

Learning Outcomes:

By the end of this workshop attendees will be able to:

• Increased understanding of JEDI as it pertains to Data Science (DS).
• Ability to identify some of the systemic bias inherent in DS training, practice and methodologies.
• Ability to describe some personal and professional strategies towards JEDI in DS.

Ticket Information
http://go.hawaii.edu/VsJ

Event Sponsor
Hawai‘i Data Science Institute, Mānoa Campus

More Information
956-3503, https://datascience.hawaii.edu/