We are pleased to invite academic scholars and researchers to submit proposals for innovative research experiment designs using Epitome-an AI-powered experimental platform advancing research in AI for Social Science.
Epitome enables researchers to design, run, and analyse experiments that explore human–AI interaction, social dynamics, and decision-making, leveraging cutting-edge large language models and experimental methodologies.
🔬 Why Epitome?
The platform supports:
• Flexible integration of multiple LLMs (e.g., GPT, Llama, Qwen) with controllable parameters
• One-to-one, one-to-many, and many-to-many human–AI interaction settings
• Randomised controlled trials (RCTs) and intervention-based causal testing
• End-to-end experiment management with a user-friendly, modular interface
• Integrated data collection and analytics, including questionnaires and physiological signals (e.g., EEG)
🎯 What selected proposals receive
• Full coverage of computational and AI model costs on the Epitome platform
• Invitation to present initial findings at the Human–Algorithm Interaction Workshop, held in Oxford, July 2026
• Full travel support for selected participants
🗓️ Key dates
• Submission deadline: February 28, 2026
• Winners announced: March 15, 2026
📄 Proposal requirements include:
• Research question
• Experimental design and rationale
• Expected outcomes and impact
• Research timeline
• Anticipated LLM usage
• Ethical considerations
📍 This call is jointly supported by the Human–Algorithm Interaction Lab and Shanghai AI Lab.
🧪 Epitome website：https://epitome-ai.com/
👉 Submit your proposal here: https://shorturl.at/LRDbl
🔗 Open this link to explore the competition: https://lnkd.in/e5UCJjxu
We look forward to receiving bold, rigorous, and creative proposals that push the boundaries of AI-enabled social science research.
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Kejia Hu
Associate Professor
University of Oxford Said Business School
kejia.hu@sbs.ox.ac.uk
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