Prof. Dr. Murat Sarı delivered a keynote speech titled “Predictive Decision Modelling in Economic Processes” at the International Scientific Symposium “Horizons of Economic Research in a Global Context,” held on 16 May 2026 at Constantin Brâncuși University of Târgu Jiu, Romania. As a keynote speaker, Prof. Sarı presented an interdisciplinary perspective on how predictive modelling, artificial intelligence and decision-support systems can contribute to the analysis and management of complex economic processes.

The rapid growth of data, computational power and artificial intelligence is transforming how economic systems are analyzed, predicted and managed. In interconnected and uncertain environments, accurate forecasting is no longer sufficient on its own. Decision-makers increasingly need intelligent computational frameworks that can convert predictive insights into practical and strategic actions. This talk focuses on Predictive Decision Modelling, an interdisciplinary paradigm positioned at the intersection of mathematics, artificial intelligence, computational science, optimization and decision theory. It discusses the shift from traditional prediction-based approaches toward integrated systems that combine forecasting, uncertainty quantification, risk assessment and decision support within a unified framework. Particular emphasis is placed on data-driven methodologies, machine learning algorithms, deep learning architectures and surrogate modelling techniques, which enable researchers and practitioners to extract meaningful knowledge from large-scale and dynamically evolving datasets. Through representative case studies in agricultural commodity markets, environmental contamination assessment and computational transport-reaction systems, the talk demonstrates how predictive frameworks can capture nonlinear dynamics, reveal hidden patterns and support evidence-based interventions. The presentation also addresses key challenges that will shape the future of predictive decision systems, including interpretability, robustness, scalability, trustworthiness and human-centered AI integration. By unifying prediction and decision-making, Predictive Decision Modelling offers a powerful direction for developing intelligent, transparent and sustainable decision-support technologies for complex economic and socio-technical systems.