Affect dynamics in data science practice

While data science is often imagined as a dispassionate and objective process of extracting information from data, ethnographic work has identified that affect and emotion play an important role in shaping data science practice. In this paper, we consider how HCI/psychology approaches might contribute to the further development of these exploratory findings, and inform the development of methods to enhance data scientists’ awareness of when affect dynamics may be influencing their practice.