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May 15, 2026European Journal of Futures Research2 citationsOpen Access

DeflyCompass: an operational architecture for decision-ready foresight

MPManuela ProcopioPLPablo Lara-NavarraAFAntonia Ferrer-Sapena

Key Points

  • The central aim is to connect futures knowledge to decision routines and improve institutional responses to uncertainty.
  • Introduces the DeflyCompass Framework (DCF) for embedding foresight in decision processes.
  • Identifies four foundations: stakeholder viability gating, hybrid AI-expert emergence sensing, singularity-oriented reasoning, and adaptive intervention portfolios.
  • Demonstrates procedural applications in higher education settings.
  • Establishes traceability and contestability in translating foresight evidence into institutional commitments.
  • Advances evaluation metrics including stakeholder continuity and value coherence.
  • Identifies procedural plausibility and practical usefulness, while highlighting the need for broader validation.

Abstract

Futures studies offers a rich methodological repertoire, yet institutions operating under deep uncertainty still face a persistent problem: futures knowledge often remains weakly connected to decision routines, accountability structures, and revisable intervention. This article introduces the DeflyCompass Framework (DCF) as an operational architecture for decision-ready foresight. Rather than treating foresight as an episodic anticipatory exercise, the framework specifies how futures intelligence can be embedded within recurring processes of review, justification, escalation, and adaptation so that evidence and action remain coupled over time. DCF is organized around four interdependent foundations: stakeholder viability gating, hybrid AI-expert emergence sensing, singularity-oriented discontinuity reasoning, and adaptive intervention portfolios. These foundations generate explicit decision artefacts that make the translation of futures evidence into institutional commitments traceable, contestable, and revisable. In this way, the framework addresses a recurrent implementation gap in foresight by linking methodological outputs to decision preparation, strategic steering, and institutional learning. The article also advances a non-predictive logic for evaluating foresight. Instead of relying primarily on correspondence between projected and realized futures, DCF is assessed through traceability, contestability, stakeholder continuity, value coherence, singularity readiness, and governance integration. Illustrative applications in higher education settings show procedural plausibility and practical usefulness, while broader comparative and quantitative validation remain an important task for future research.

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Cite This Study

Procopio et al. (2026) studied this question.

synapsesocial.com/papers/6a06b971e7dec685947ac25fhttps://doi.org/10.1186/s40309-026-00271-1
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