Data Collection with LLMs in Social Sciences
Materials for a one-day workshop on LLM data collection
Workshop Data Collection with LLMs in Social Sciences
This repository contains the code and slides for our workshop on data collection and inference with Large Language Models. The materials on this page are CC-BY-4.0 licensed.
More information can be found on the website here.
Technical details
- No previous experience with LLMs is required.
Rorpythonprogramming knowledge is desired but not required.- In python we will use
langchain, in R we will useellmerto interact with LLMs.
Slides
Tutorial Paper
Full Workshop Schedule
| Time | Title | Resource |
|---|---|---|
| 09:30 | LLM fundamentals for Social Sciences | |
| 11:00 | Coffee break | Coffee is provided! |
| 11:20 | Data collection/annotation with LLMs | python, R |
| 12:30 | Break | Lunch is provided! |
| 13:15 | Inference with LLM annotations | python, R |
| 14:30 | Conclusion & Q&A |
Methods and software for inference with measurement error correction: sodascience/social_science_inferences_with_llms.
Contact
This project is developed and maintained by the ODISSEI Social Data Science (SoDa) team.
Do you have questions, suggestions, or remarks? File an issue or feel free to contact Qixiang Fang or Erik-Jan van Kesteren.