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Date:  Fri, December 04, 2020
Time:   2:00pm - 3:00pm
Location:  online, see link to register
Speaker:  Ayodele Odubela, SambaSafety, Denver, CO

Sponsored by the Hawaii Data Science Institute

See the UH calendar for more details and registration info

This talk will walk the audience through technical and strategic tools to build more accountable algorithms. Algorithmic bias has become more pervasive, however there are many methods and frameworks for engineers and researchers to implement during their model development lifecycle. This talk will give Data Scientists and Engineers tangible ways they can improve their model development life cycle to consider. These new frameworks will allow them to better document their data and incorporate reproducibility techniques.

Bio:
Ayodele Odubela is a Data Scientist working on driver risk mitigation at SambaSafety in Denver, CO. She earned her Master’s degree in Data Science after transitioning to tech from social media marketing. She’s created algorithms that predict consumer segment movement, goals in hockey, and the location of firearms using radio frequency sensors. Ayodele is passionate about using tech to improve the lives of marginalized people.