We are excited to introduce our new cohort of Data Science Fellows at D-Lab. These talented individuals come from diverse personal, academic, and professional backgrounds, bringing expertise in fields such as computational social science, AI, and data ethics. As part of D-Lab, they will lead innovative research and support our interdisciplinary community of scholars. Their contributions will help advance data science applications across various domains, including Linguistics, Economics, Political Science, Education, Agriculture and Resource Economics, Information Science, Civil and Environmental Engineering, Public Policy, Architecture, Business, City and Regional Planning, and Integrative Biology--fostering collaboration and promoting inclusive, data-driven insights. They join our Senior Data Science Fellows, who represent Sociology, Political Science, Law, and Social Welfare.
They are here to provide their expertise in areas such as Bash or Command Line, Data Manipulation and Cleaning, Data Science, Data Visualization, Excel, Git/GitHub, LaTeX, Programming Languages (includes Python, Julia, R), RStudio, Regression Analysis, Surveys, Sampling & Interviews, Deep Learning, Machine Learning, Natural Language Processing (NLP), Qualtrics, Social Network Analysis, Text Analysis, Data Sources, Digital Humanities, Qualitative Methods (ATLAS.ti, MAXQDA, Dedoose) and much more!