On the show today, Dino Carpentras, a post-doctoral researcher at the Computational Social Science group at ETH Zürich joins us to discuss how opinion dynamics models are built and validated. He explained how quantifying opinions is complex, and strategies to develop robust models for measuring and predicting public opinions.
AI Fails on Theory of Mind Tasks
AI for Mathematics Education
Evaluating Jokes with LLMs
Why Machines Will Never Rule the World
A Psychopathological Approach to Safety in AGI
The NLP Community Metasurvey
Skeptical Survey Interpretation
The Gallup Poll
Inclusive Study Group Formation at Scale
The PhilPapers Survey
Non-Response Bias
Measuring Trust in Robots with Likert Scales
CAREER Prediction
The Panel Study of Income Dynamics
Survey Design Working Session
Bot Detection and Dyadic Surveys
Reproducible ESP Testing
A Survey of Data Science Methodologies
Casual Affective Triggers
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