Computational Social Science
Using data science to understand changes in human interactions
The Center supports research in the overlapping areas of the social sciences and computer science.
The field of computational social science exists because advances in technology have generated an unprecedented volume of digital data that can be used to research traditional social science topics like democracy, security, economic growth, and inequality. Computational methods include:
- Data mining
- Natural language processing
- Text analysis
- Web scraping
- Data visualization
- Machine learning
The IRiSS Center for Computational Social Science runs a competitive grant proposal program that awards five Computational Social Science Fellowships per year. The funding assists graduate students conducting computational research to acquire data, pay RAs to process and validate data, and other research activities.
The 2019-2020 CSS Fellows conducted innovate computational research that pushed disciplinary boundaries and yielded a trove of rich insights. The research reports provided by the fellows describe their groundbreaking findings and the impact of the fellowships on their research. Read the 2019-2020 research reports.