Instructor: Douglas Hanes

This course focuses on applying concepts of data science to address social justice problems. Traditional data analysis techniques focus on testing whether there is a prespecified relationship between a few variables, often in data collected specifically for that purpose. Increasingly, though, data sources are large, heterogeneous, and present a vast amount of other characteristics that could also impact the behavior. This wealth of accessible data presents incredible opportunities to understand and shape society, but it requires new methods and careful analysis. <p>In this course, we will address questions related to police violence, using data compiled by Mapping Police Violence. We’ll look at some of their visualizations, at methods for recreating the visualizations, and also consider how this data was collected. We’ll discuss how more data collection and analysis addressing this issue might be carried out.

Prerequisite: Some knowledge of data analysis would be helpful but not essential. If unfamiliar with computational analysis, complete pre-workshop trainings as assigned.

Required Materials: Each participant will need a computer with R (free, open-source) installed.

We have a limited number of scholarships for our workshops. If you need an application, please send an email to mtc@pnca.edu with your complete name and contact information.

If you need academic credits for the workshops, please contact mtc@pca.edu.

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