GPT for social scientists?
Science
Data
Don’t waste 3 years to develop a scale or collect data.
In early 2023, I and my collaborator have worked really hard to design a methodological framework using GPT for scale development and synthetic data generation to measure, predict, retrodict, and calibrate innovation outcomes using real-world and synthetic data and a human-in-the-loop process in competitive settings, where many compete but few will be winners.
After multiple rounds with super critical reviewers, this work was published finally (still early view) in Public Administration Review, an excellent journal in public administration. Article