The applicant’s role may include conducting literature reviews, searching for, collecting, and cleaning quantitative data from the web, performing qualitative record matching between different data sources, developing and using machine learning models to perform automated record matching between data sources, data analysis, and assisting with the development of new research questions. No specialized prior knowledge is required, and the specific tasks can be matched with the applicant’s skill level and interests. Students with no prior knowledge of programming or software for statistical analysis are encouraged to learn the basics of at least one software platform for some aspect of the project (e.g., R and Python for web scraping, predictive modeling, and statistical analysis).