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Creating Inclusion and Accessibility through Data Science: Challenges and Solutions
May 13 @ 11:00 am - 12:20 pmFree
This event is part of the 2022 Celebrate Learning Week.
In the last decade, data science has exploded in popularity, transforming disciplines across the social, physical, and applied sciences. Today, the use of data science tools and techniques is essential for success in many careers and fields – and provides powerful opportunities for individuals to engage in scientific knowledge creation and analysis in a way which has immediate relevance to their everyday experiences. However, without purposeful design, the benefits of this profusion of new techniques, tools, and opportunities have tended to accrue within those parts of society most well-situated to adopt them, exacerbating pre-existing inequalities and creating barriers to inclusion and access.
In this panel discussion, we invite you to explore these challenges and opportunities in the state-of-the-art here at UBC. Faculty members at UBC Vancouver and Okanagan will share their experiences with modern data science and describe some of the often-overlooked challenges and issues that this new paradigm has created in our community. We will then share some new tools, pedagogical practices, and emerging opportunities that can address these changes – and the benefits that they can create in addressing systemic inequalities in access to these kinds of tools. We will conclude with a free discussion and Q&A period, in which the audience can ask questions and contribute to the dialogue.
– Phil Austin, Earth and Ocean Science – UBC-V
– Jonathan Graves, Vancouver School of Economics – UBC-V
– Firas Moosvi, Computer Science, Mathematics, Physics and Statistics – UBC-O
– Stephen Michaud, CTLT – UBC-V
– Melissa Lee, Statistics – UBC-V