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CrowdSynth
AI-powered survey simulation system that generates synthetic respondent panels calibrated with real demographic data, social media sentiment analysis, and PyMC Bayesian models. Automatically extracts and classifies demographics and sentiment from social networks to create realistic virtual populations. Enables rapid prototyping of social research surveys before fieldwork investment, with bias quantification and validation metrics (RMSE). Applied to plastic recycling stakeholder assessment and circular economy decision-making.
Market research and stakeholder analysis for circular economy initiatives at 90% lower cost and 10x faster than traditional surveys. Corporations can pre-test consumer acceptance of recycled products, evaluate public perception of sustainability policies, and assess stakeholder positions before launching recycling programs. Investors can gauge market sentiment and social acceptance risks for plastic recycling ventures. Governments can simulate public response to circular economy regulations. NGOs can test campaign messaging and identify key demographic segments for circular economy advocacy
