Resumen
Future design is a key discipline in strategic decision-making in business, government, and public policy. Futurization, or
future analysis, is based on identifying micro-trends to project likely scenarios in the near future. It is a complex discipline
that requires advanced methodologies to understand and prepare for future challenges. This project investigates a
systematic methodology for futurization, using the agricultural products of the Valencian orchard as a case study.
The theoretical framework of the study includes trend analysis and future forecasting, with an emphasis on terminology,
concepts, and definitions. Contributions from key theorists such as Berger, Jouvenel, and Godet are reviewed, highlighting
the human capacity to construct and influence the future. Strategic planning, in both American and European schools, is
crucial in this context.
The project's methodology includes design thinking and visualization to facilitate the understanding and communication of
trends and data. In addition, quantitative analyses such as natural language processing and semantic projections are
incorporated to enrich the research.
The project aims to develop a proprietary methodology based on the cognitive paradigm of design thinking and quantitative
analysis techniques. It seeks to improve the sustainability and competitiveness of Valencian agricultural products, enhancing
the living conditions of farmers and contributing to the region's economic development. Mixed methods of qualitative and
quantitative research will be implemented, using tools like chatGPT 4 for the automatic construction of universes and data
analysis. Finally, the study will include a validation of findings and conclusions to summarize effective futurization practices
and provide implementation recommendations in various contexts.
