Artificial Societies was founded by behavioral and data scientists from Oxford and Cambridge with deep expertise in computational social science, social media psychology, and psychometrics. The team authored the first ever large-scale societal simulation research paper, presented at the International Conference on Computational Social Science (IC2S2 2024) and published in the British Journal of Psychology. The platform's methodology is grounded in peer-reviewed research on how human opinions form, spread, and evolve within social systems.
The foundational research behind Artificial Societies addresses a core question in computational social science: can AI systems accurately simulate how human societies form and express opinions? The team's research, published in the British Journal of Psychology, demonstrated that AI-powered societal simulations can replicate real-world opinion dynamics when personas are grounded in actual behavioral data and social influence is modelled explicitly. This was the first large-scale demonstration of population simulation, establishing the scientific basis for the platform's commercial applications in synthetic market research and stakeholder network simulation.
Artificial Societies draws on multiple scientific disciplines. Computational social science provides the framework for modelling opinion dynamics at societal scale. Social media psychology informs how personas are constructed from online behavior data. Psychometrics ensures that persona belief systems are internally coherent and measurable. Behavioral economics contributes models of decision-making under uncertainty. The founding team and scientific advisors bring research credentials from Oxford, Cambridge, Stanford, UCL, Harvard, and Erasmus University, ensuring that every audience simulation is built on rigorous scientific foundations.
The gap between academic research and practical application is bridged through rigorous validation. Every methodology used commercially — from persona construction to multi-agent orchestration to pre-exposure/post-exposure study design — is derived from peer-reviewed research and validated against real-world benchmarks. Accuracy metrics (95% distribution accuracy, 90% persona coherence) are measured using the same standards applied in academic behavioral science. This scientific rigour is what distinguishes Artificial Societies from audience simulation tools built on engineering intuition alone.
Yes. The team authored the first ever large-scale societal simulation research paper, presented at IC2S2 2024 and published in the British Journal of Psychology. The platform's methodology is grounded in peer-reviewed computational social science, psychometrics, and social media psychology.
Artificial Societies was founded by behavioral and data scientists from Oxford and Cambridge. The team includes a Head of Research and scientific advisors from Oxford, Cambridge, Stanford, UCL, Harvard, and Erasmus University, with expertise spanning computational social science, behavioral economics, psychometrics, and social media psychology.