This course invites students from diverse backgrounds and provides an accessible introduction to the burgeoning field of Computational Social Science (CSS). We aim to explore research design and data skills at the intersection of social sciences and digital innovations. This course emphasizes using big and rich social digital data to understand and explain societies and human behaviors. We introduce fundamental topics in CSS, including digital trace data collection, social network analysis, and text-as-data, using the R programming language. Besides discussing the new opportunities of CSS, this course also highlights critical topics, such as data ethics and data-driven bias. Prerequisite: None. Fulfillment: Core AT; Social Science Foundational Course; Social Science Methods Course.
Social Science (Undergraduate)
4 credits – 15 Weeks
Sections (Fall 2024)
SOCS-SHU 190-000 (20125)09/02/2024 – 12/13/2024 Tue,Thu8:00 AM – 9:00 AM (Morning)at ShanghaiInstructed by Chen, Zixi