Sociology 290: Theories/Practice of Big Data
Prof. Juan Pablo Pardo-Guerra
This class introduces students to critical perspectives on data, machine learning, and algorithms from and for the social sciences. In the past SOC 290 was organized as a workshop: students worked in groups on original research projects; their work was organized into three thematic units that covered core competencies of data scientists.
This year, I’ve decided to introduce some changes. Most of the students registered for the class have expertise in data science (the vast majority of students are from CS), so it would be poor use of time and resources to learn how to code (in all likelihood, you are already experienced coders). The added value of this year’s course is not in teaching specific and mysterious ways through which you can study ‘society’ through data but rather to get you to reflect about the assumptions, practices, and implications of working with big data. This is more important than knowing how to code: recent public controversies around big data are all the result of coding practices that didn’t take into account how algorithms and data structures reproduce biases, inequalities, and stereotypes. In this class, we will learn how to reflect on these and other issues.
SOC 290 is also practical, and as part of the course students are required to develop a research project that looks at something ‘social’. You can analyze Twitter, Facebook, Jstor, or any other digital source.
실라버스가 재미있어 보여 긁어왔어요. 요즘 4차혁명 얘기하는 사람들은 데이터가 새 시대의 Oil이라 말하더라고요.. 한 편으로는 어두운 부분도 있는거 같던데 앞으로 더 어떻게 바뀔지 참 궁금합니다.