Cultural Research & Intelligence

Intelligence is quickness in seeing things as they are.

The challenge is not finding signals but structuring them through language so multiple ends can be seen. Our approach combines semiotics and ethnography with advanced analytics, to forecast change earlier and build stronger narratives that can adapt.

  • Identify shifts in behavior and values, and understand the cultural logic driving them.

  • Decode how belief systems, signals, and cultural codes mutate beneath emerging futures.

  • Create systems and experiences that carry symbolic depth, built to outlast trend cycles.

  • Develop campaigns and innovation platforms grounded in where beliefs are migrating next.

  • Turn ambiguity into structured, actionable insight with a clear analytical trail.

Intelligence Toolkits for serious cultural research

StoryEngine Sandbox is our structured sensemaking set of generative AI toolkits, built to turn cultural signals and complex discourse into organized, explainable foresight.

 

Cultural intelligence begins with interpretation. Founded by Tim Stock and Marie Lena Tupot, scenarioDNA leads the application of cultural analysis and applied semiotics to generative intelligence models.

Tim Stock | Co-founder & Partner

Tim has spent more than 30 years developing methods for understanding and anticipating cultural change. His work combines cultural semiotics, machine learning, social science, and strategic foresight to identify the codes, narratives, and behavioral patterns shaping markets and institutions. He is co-author of Story Systems and Cultural Research and co-inventor of scenarioDNA’s patented culture-mapping methodology. His current research examines how artificial intelligence can extend cultural analysis without separating patterns from their social and historical contexts. He is an Associate Teaching Professor at Parsons School of Design and a Global Community Professor at the Center for Future Studies at Universidad de Monterrey.

Marie lena tupot | Co-founder & Partner

Marie studies how language, subcultures, and digital communities register changes in identity, dissent, and belonging. Her work uses information science and computational linguistic analysis to distinguish lived shifts in meaning from the aesthetic recycling of older movements. Her recent research traces punk discourse across cyberpunk, cypherpunk, anarchist, anarcho-capitalist, and cryptopunk communities, identifying new forms of individualist and influencer rebellion. She holds an MS in Information Science from the University at Albany’s College of Emergency Preparedness, Homeland Security and Cybersecurity.