Research Profile
Survey methodology, machine learning, and computational social science.
My research focuses on how data is generated, measured, modeled, and interpreted in complex social systems. I work across survey methodology, NLP, LLM-assisted annotation, public discourse, and data-centric machine learning, with an emphasis on measurement error, bias, uncertainty, sampling, and inference from human-generated data.
Research Focus
Papers and applied work that define my research direction
A focused set of papers and strong unpublished projects showing how my work connects survey methodology, machine learning, LLM-assisted annotation, public discourse, and measurement error.
Research Agenda
The methodological throughline behind my work
Rather than listing broad research areas again, this section explains the deeper methodological questions connecting my projects across surveys, NLP, LLMs, public discourse, and machine learning.
Selected Work
Selected Research Projects
Selected research projects with paper/report links, GitHub links, and SagnikGPT prompts.