https://hdl.handle.net/20.500.12766/3 2026-05-15T00:27:17Z https://hdl.handle.net/20.500.12766/870 La ontología trinitaria de Tomás de Aquino: hacia una nueva relación entre fe y razón Peiró Pérez, Juliana Este artículo explora la ontología trinitaria de Tomás de Aquino como marco fundamental para repensar la relación entre fe y razón. Centrándose en pasajes clave de la Summa Theologiae y del De Trinitate, se sostiene que la doctrina de la Trinidad no debe entenderse simplemente como un misterio teológico inaccesible, sino como un horizonte ontológico que ilumina la condición humana y sus capacidades de conocer y de amar. El análisis tomista de la procesión, la relación y la persona proporciona la base conceptual para concebir el ser personal no como una sustancia aislada, sino como comunión. En esta perspectiva, la antropología teológica se enriquece con la categoría de imago Trinitatis, que afirma que la persona humana refleja, aunque de modo imperfecto, la estructura relacional de las divinas personas. Este marco cuestiona la oposición entre fe y razón, presentándolas como dimensiones complementarias: la fe acoge el misterio revelado de la Trinitas, mientras la razón, iluminada por él, discierne en la realidad humana la huella de la imago Trinitatis. La ontología trinitaria de Tomás, lejos de restringir la indagación racional, abre un espacio fecundo para el diálogo entre filosofía y teología en torno a las grandes cuestiones de todos los tiempos.; This article explores Thomas Aquinas’s trinitarian ontology as a foundational framework for rethinking the relationship between faith and reason. Focusing on key passages from the Summa Theologiae and De Trinitate, it argues that the doctrine of the Trinity should not be understood merely as an inaccessible theological mystery but as an ontological horizon that sheds light on the human condition and on the capacities to know and to love. Aquinas’s analysis of procession, relation, and person provides the conceptual basis for conceiving personal being not as an isolated substance but as communion. Within this perspective, theological anthropology is enriched by the category of imago Trinitatis, which affirms that the human person reflects, albeit imperfectly, the relational structure of the divine persons. This framework challenges the opposition between faith and reason by presenting them as complementary dimensions: faith embraces the revealed mystery of the Trinitas, while reason, enlightened by it, discerns in human reality the trace of the imago Trinitatis. Aquinas’s trinitarian ontology, far from restricting rational inquiry, thus opens a fertile space for dialogue between philosophy and theology in addressing perennial questions across history. 2025-01-01T00:00:00Z https://hdl.handle.net/20.500.12766/869 Artificial intelligence in the psychologist’s toolkit: Psypilot as a case study Roca Morales, Pablo; Zangri, Rosaria María; Rodríguez Fernández, Guillermo; Sánchez Pedreño, Martín; García del Valle, Eduardo P. Artificial intelligence (AI) is rapidly reshaping how psychology is practiced, from assessment and case formulation to intervention planning, monitoring, and documentation. Yet the field faces a strategic choice: deploy AI as a substitutive “automated therapist,” or develop AI copilots that augment psychologists’ judgment while preserving the relational and ethical core of professional work. In this article, we synthesize how contemporary AI-especially Machine Learning and Large Language Models- maps onto psychologists’ core tasks and discuss the implications for clinical quality, scalability, and innovation in real-world settings. We then present Psypilot as a case study of the copilot paradigm: an AI-powered clinical assistance platform designed to support Precision Mental Health. We critically examine key risks and governance challenges such as automation bias, data representativeness and fairness, privacy and secondary use, transparency, and accountability under emerging regulatory frameworks, and translate them into practical design and training recommendations. By framing AI as workflow-embedded decision support rather than autonomous care, this contribution advances responsible innovation and clarifies the competencies psychologists need to thrive in an AI-driven professional landscape. 2026-01-01T00:00:00Z https://hdl.handle.net/20.500.12766/868 From Shadows to Light: Albert the Great on the Semiotic Structure of Human Cognition Rubio, Mercedes This article explores Albert the Great’s understanding of human cognition as a hierarchical, semiotic structure, made of light. It examines his response to the question “What is good for man?”, tracing his shift from a moral–theological to an anthropological and epistemological perspective in dialogue with Aristotelian, Neoplatonic, and Arabic sources. Through close textual analysis of his writings on the soul and intellect, the article reconstructs man’s hierarchical constitution and highlights the central role of signs and of the imagery of light and shadows in his understanding of cognition. It argues that, for Albert, each level of apprehension functions as a semiotic link that dynamically leads the human intellect from lower to higher degrees of comprehension, intentionally pointing toward the divine source of all being, understood as light. Albert’s conception of signs, intentionality, and intellectual illumination is shown to anticipate and go beyond later semiotic theories. Consequently, the article proposes that he should be regarded as a “proto-semiotic” thinker whose original anthropological synthesis, centered on epistemology and sign-theory, illuminates the intrinsic role of signs in human perfection and clarifies how words and images can express the cognitive relation between created and uncreated being. 2026-01-01T00:00:00Z https://hdl.handle.net/20.500.12766/867 Transforming psychological practice with precision mental health introduction to the NOVA project Roca Morales, Pablo; Noheda, Sara; Ramírez Riverp, Eduar; Martín Azañedo, Carolina; Martínez Zaragoza, Fermín; Zangri, Rosaria María; García del Valle, Eduardo P.; Sánchez Pedreño, Martín; León García, Montserrat; Gravholt, Derek Loy; Enrique, Ángel; Saunders, Rob; Herrera, Luis Javier; Pegalajar, María del Carmen; Vázquez, Carmelo; Rodríguez Moreno, Sara Evidence-Based Practice (EBP) has increased the availability of psychological treatments, yet many people do not benefit from therapy, some report deteriorations in symptoms, and dropout rates remain high. Precision Mental Health (PMH) is proposed as an extension of EBP by combining systematic measurement with predictive analytics to support the right intervention, at the right time, for the right person. Recent advances in Artificial Intelligence (AI) make PMH increasingly feasible in routine psychotherapy; however, the implementation of these approaches in routine care is still incipient. In this context, the present article has two main aims. First, we summarize key advances in PMH, particularly measurement-based care and data-informed decision making. Second, we introduce the NOVA project (Navigating Outcomes via Analytics), a multi-phase translational program designed to implement PMH in real-world psychological services. Guided by the Implementing Precision Methods framework, NOVA integrates (i) stakeholder-informed work on clinician acceptability and intention to use, (ii) pragmatic evaluation of decision support tools in routine care, (iii) development of robust and interpretable predictive models, and (iv) training and dissemination activities aligned with responsible innovation and professional competencies for AI-supported precision care. By detailing NOVA’s implementation pathway, we aim to provide a concrete roadmap for bridging AI innovation and psychological practice, accelerating the sustainable adoption of PMH in real-world settings. 2026-01-01T00:00:00Z