Dear colleagues and researchers, I hope this finds you well. As the study of LLMs shifts from individual interaction to emergent social behaviors, there is a growing need for controlled environments to study digital deliberation at scale. I've developed Agora Synthetic (https://agorasynthetic.com/) — an open research platform that simulates public deliberation using multiple AI agents. It allows researchers to design controlled experiments where LLM-powered agents with distinct personas engage in structured discussion on topics you define. This is a non-commercial, academic-led initiative. My goal is to build a bridge between AI architecture and communication theory, specifically to explore: - Deliberative Democracy: How constraints (time, rounds) affect consensus quality. - Framing & Polarization: The impact of economic vs. public health framing on coalition formation. - Algorithmic Bias: Participation inequality in agents with gendered or marginalized personas. - Epistemic Resilience: Group self-correction mechanisms when exposed to misinformation. The platform provides metrics for academic analysis, including: - Gini coefficient (participation inequality). - Type-Token Ratio (lexical diversity). - Sentiment tracking & Network topology analysis. - Cohen’s d effect sizes for condition comparison. *Invitation to Collaborate:* I am looking for fellow researchers interested in co-authoring papers using this infrastructure. If you are working on LLM-mediated communication, digital sociology, or computational ethics, I’d love to see how Agora Synthetic can support your specific research questions. You can explore the platform and apply for research access here: https://agorasynthetic.com/ https://agorasynthetic.com/ Warm regards, Dr. Vinicius Covas Research Professor, Universidad Anáhuac México vinicius.covas@anahuac.mx