What we're looking for
We explicitly invite work that proposes new methodological designs made possible by AI. Topics include but are not limited to:
AI-Mediated Experiments
Models serving as participants, confederates, or institutional actors in experimental designs.
Hybrid Human–AI Frameworks
Data collection architectures that integrate human and AI-generated observations.
Simulation-Based Research
Research architectures leveraging generative models for social simulation.
Synthetic Data Pipelines
Reshaping sampling, measurement, or pre-analysis design with synthetic data.
Dynamic Prompting Strategies
Prompting as experimental treatment and its methodological implications.
AI-Assisted Theory Generation
Using AI for hypothesis refinement and theory development in social science.
Multimodal Research Designs
Integrating text, image, and behavioral data in research frameworks.
Causal Inference with AI
New forms of causal inference leveraging model reasoning or structured interaction.