Approaches for developing, analyzing, and managing large datasets for computational social science. Development topics include acquiring data from the web and log files and managing unstructured data. Analysis approaches overviewed include econometric, social network, text, and sequence analysis. Data management topics cover sharing, protecting, and archiving data.
Big Data Research
|Semester Course Offered||
Offered every year.
Students will survey the different computational social science approaches for analyzing large datasets and will gain hands-on skills and basic understanding of tools for developing and managing these datasets.