20.05.2025
Call for Papers for NLPOR - First Workshop on Bridging NLP and Public Opinion Research
Co-Located With COLM 2025, 10.10.2025, Montreal, Canada
Recent advances in Natural Language Processing (NLP) and Large Language Models (LLMs) are transforming how we engage with and interpret human-generated data—highlighting critical issues around data quality, bias, and ethics. At the same time, Public Opinion Research (POR) offers well-established methods for collecting high-quality, representative data from human subjects.
This interdisciplinary workshop, co-organized by MCML members, brings together experts from both fields to explore how POR can inform and strengthen NLP research, and how NLP methods can enhance POR. The goal is to foster dialogue and collaboration around data quality, methodological transparency, and ethical AI development in the age of LLMs.
Deadline for paper submission: June 23, 2025
The workshop is co-organized by our PIs Frauke Kreuter and Barbara Plank.
Visit the website of NLPOR for more information!
Related
21.07.2026
Timo Heiß Receives Best Student Paper Award at XAI 2026
Timo Heiß receives the Best Student Paper Award at XAI 2026 for research on improving feature effect estimation in explainable AI.
21.07.2026
The Learning Rate Does More Than Set the Pace
New ICML 2026 research by Gitta Kutyniok and her team shows how learning rates balance competing biases that shape neural network generalization.
20.07.2026
How Fair Does AI Seem in Job Interviews?
A new study by Enkelejda Kasneci examines how applicants perceive fairness in AI-driven job interviews.
