This class will introduce students to computational tools in R to help them analyze data and unearth new relationships. Working in small teams, students will conduct their own ecological research in Providence incorporating quantitative data (e.g. sensor data) and warm data (e.g. stories, observations, poetry, art). They will learn how to incorporate data science techniques in their research process, such as data acquisition, data cleaning, data transformation, statistical analysis, and visualization using R Studio. The applications of these tools will help students better understand and interpret complex information, as they uncover new patterns, affinities, and stories in the data, which can directly support their own design and artistic practice. Participants will then communicate and translate their analytical findings through an expressive artistic form.

Elective