Building a Smarter Future The Integration of Digital Technologies in Early Warning Systems Prguda Sara Secretary-general AZUR Sarajevo, Bosnia and Herzegovina saraprguda@gmail.com Garaplija Edin Advisory Board INZA Sarajevo, Bosnia and Herzegovina edin.garaplija@gmail.com Abstract— This article examines the incorporation of digital technology into early warning systems one of the tri pillars of the prevention in risk management, with the aim of developing a more intelligent and efficient approach to catastrophe management. The essay commences with an introductory section that provides an overview of the context, issue statement, and objectives of the study, in addition to outlining the technique followed. The subsequent section of this paper delves into the notion of early warning systems, providing an analysis of its definition, significance, historical development, and the obstacles that are inherently involved with its implementation. This paper proceeds to analyze the impact of digital technologies on the improvement of early warning systems, offering a comprehensive survey of their utilization in the field of disaster management. Ultimately, the study introduces GeoBiM as a pioneering resolution, elucidating its characteristics and showcasing instances of prosperous applications. In conclusion, the article underscores the importance of digital technology in crafting a more intelligent future for early warning systems. This work confirmed the scientific and social justification of the transition from conventional tools and techniques to modern digital approaches to improve the risk management system. Keywords—Building a Smarter Future, Integration, Digital Technologies, Early Warning System, GeoBiM I. INTRODUCTION A. Background In the last decade, science has been facing increasing disasters caused by climate change and anthropogenic factors, so there is a need for new scientific research projects and approaches to assessing and managing risks in all life stages. With the development of digitization, more and more are moving from the conventional 2D inactive approach to a 3D proactive control approach with a special intense on prevention systems. The escalating occurrence and intensity of natural calamities in recent times have underscored the crucial significance of early warning systems in reducing the consequences of these occurrences. Early warning systems are of paramount importance in the identification and prompt dissemination of information regarding imminent disasters. This facilitates the ability of communities to adopt proactive steps in terms of readiness, evacuation, and reaction. The incorporation of digital technology is a promising avenue for improving the efficacy and efficiency of early warning systems, given the fast progress in this field. By defining the problems and objectives of the research, we examine the potential of digital technologies, that is, the integration of GeoBiM, in improving the effectiveness and efficiency of early warning systems for natural disasters to determine the difficulties and factors that should be taken into account during the integration of GeoBiM, as well as to provided tactics to achieve smooth implementation, thereby improving the coordination and efficiency of disaster management. The methodology of the work is based on the current method of induction, deduction method, analytical method, method of description, method of analysis, and method of synthesis which connects simpler statements and conclusions into more complex and general statements with the purpose of a better and more systematic study of the relationship between research objects. Traditional early warning systems predominantly rely on human procedures and a restricted range of data sources, hence leading to potential delays and mistakes in the detection and dissemination of alerts. Nevertheless, the use of digital technology presents considerable promise for transforming early warning systems. Various technologies, including remote sensing, satellite photography, geographical information systems (GIS), and artificial intelligence (AI), have the potential to facilitate the gathering, analysis, and decision- making of real-time data, [1]. The Geographic Building Integration Modeling (GeoBiM) system is an innovative solution that has emerged in recent years. It has the potential to be utilized in conjunction with current crisis management and early warning centers, such as the 112 system. The GeoBiM system integrates many digital technologies to offer a comprehensive and integrated set of early warning capabilities. Satellite data and remote sensing techniques are employed to monitor several environmental indicators, encompassing weather patterns, seismic activity, and hydrological conditions. GeoBiM utilizes artificial intelligence algorithms and geographic information system (GIS) analysis to effectively handle and examine large volumes of data. Through this approach, it is capable of identifying 136 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS) 979-8-3503-2426-6/23/$31.00 ©2023 IEEE DOI 10.1109/ICAMCS59110.2023.00029