Generative Contextual Science (GCS): Conceptual Foundations for Interdisciplinary Knowledge Systems
This research introduces Generative Contextual Science (GCS) — a conceptual scientific paradigm developed within the DFAS ecosystem. GCS explores how human interpretation, discourse, and narrative reflection can inform the development of structured, testable frameworks for interdisciplinary forecasting and decision support. It outlines the philosophical and epistemological basis for translating qualitative insights into quantitative, actionable foresight, while emphasizing ethical safeguards and governance considerations. GCS is proposed as a cross-disciplinary conceptual doctrine with potential relevance to fields such as finance, political science, risk analysis, psychology, education, and theology. This record serves as a public timestamp and scientific declaration of GCS as an emerging meta-science, offering a vision for how language-rich and interpretive domains may evolve toward more structured and responsible knowledge systems. This is a conceptual and philosophical declaration, not an operational framework.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-30
- DOI
- https://doi.org/10.5281/zenodo.15769884
- Primary Topic
- Doctoral Education Challenges and Solutions
- Type
- article
- Field-Weighted Citation Impact
- 0.00