In forecasting extraordinary events, we now see socioeconomic factors playing an increasingly crucial role, alongside environmental and industrial ones, in influencing the likelihood of these occurrences. Socioeconomic variables such as unemployment, income inequality, educational levels, and urbanization patterns can shape individual and community responses in crisis situations. Understanding these influences and incorporating them into predictive models is essential for reducing the adverse effects of extraordinary events on society. This article emphasizes the value of socioeconomic data in predictive analytics, particularly through the application of the Random Forest method. By analyzing the dynamic relationships and interactions among various socioeconomic factors that impact society in connection with extraordinary events, we uncover how these factors heighten the probability of such occurrences. Random Forest stands out in its ability to identify complex interdependencies among variables, ultimately providing a robust model capable of delivering early warnings. Testing the established hypothesis with Random Forest has proven its effectiveness in identifying the key socioeconomic factors and uncovering their interactions. The results indicate a statistically significant impact of socioeconomic factors on the prediction of extraordinary events, underscoring the need to integrate such data for enhanced accuracy in predictive modeling. This study not only contributes valuable insights into the field of extraordinary event prediction but also opens a new, promising pathway for leveraging socioeconomic data to better foresee and mitigate the effects of these events. (online) 

Evalution Of Socioeconomic Factors As a Cause Of Crisis Situacions Using The Random Forest Method

SSHRA 2024 – Social Science & Humanities Research Association International Conference
11-12 November 2024, The National University of Singapore Society (NUSS), SINGAPORE
Presentation, language: English (*CERTIFICATE OF ATTENDANCE AND PRESENTATION)

The presented study introduces a dynamic approach to analyzing socioeconomic factors leading to crisis situations using the advanced Random Forest method. Crises, from financial disruptions and social conflicts at various levels to extreme environmental events, are often triggered by a convergence of diverse socioeconomic factors, such as unemployment rates, income levels, access to education, and healthcare availability. The Random Forest method, known for its ability to handle complex data structures, is utilized here as a tool for identifying high-risk factors prior to crisis events. Throughout the research, extensive datasets from various regions were analyzed to map out socioeconomic indicators that may significantly contribute to the risk of crisis situations. The results of this study provide both substantial and valuable insights that can assist governments and organizations in recognizing potential hotspots of danger in advance. Additionally, it offers a practical framework for crisis prevention and strategic planning, thereby supporting more effective responses to current socioeconomic conditions and enhancing overall preparedness for crisis scenarios.

Balancing National Security and Human Rights with Regard to Socioeconomic Aspects in Extraordinary Events

International Conference on Arts, Humanities and Social Sciences (ICAHSC-24)
November 8 and 9 2024, at Jaipur Rajasthan, INDIA
Presentation, language: English (*CERTIFICATE OF ATTENDANCE AND PRESENTATION)

This study focuses on the complex issue of balancing national security and human rights protection in the context of emergencies, with an emphasis on socioeconomic aspects. In critical moments when security is a priority, governments may restrict certain rights, often impacting different population groups in diverse ways. In cases of emergencies, such as disasters, pandemics, and terrorist attacks, it is evident that these socioeconomic aspects play a significant role in the process of recovery and mitigation efforts aimed at restoring the pre-emergency state. This study examines how socioeconomic factors influence individuals' vulnerability, access to essential resources, and overall crisis response, offering solutions that address overlooked social and economic inequalities. The study analyzes the dynamics between necessary public protection measures and their impacts on human rights, with a focus on socioeconomic factors that significantly affect the consequences of these measures on individuals and society. It proposes a methodology for assessing these influences to provide decision-makers with a comprehensive tool for a balanced approach that minimizes the risk of infringing on citizens' fundamental rights without compromising national security. The study’s outcomes aim to contribute to policy-making and strategy development that better reflect socioeconomic inequalities while safeguarding national security and upholding human rights.

The Random Forest Method As a Tool For Identifying Socioeconomic Factors Influencing The Occurence of Crisis Situations

6th International Conference on Social Sciences, Humanities and Arts (ICSHA)
25-27 October 2024, Nice, FRANCE
Presentation, language: English (*CERTIFICATE OF ATTENDANCE AND PRESENTATION)

The Random Forest method is considered a powerful and highly effective tool in the field of data analysis. In this context, its application can also be considered for identifying socioeconomic factors that may significantly contribute to the occurrence of crisis situations. In crisis management, it is essential to understand the complex relationships between various factors influencing crises, including socioeconomic ones. Their impact on human society has been growing in recent years and is becoming crucial. In this regard, better prediction of crisis situations could be achieved through the evaluation using the Random Forest method, which would simultaneously minimize their impact on society. The Random Forest method allows us to identify complex interactions between the variables of socioeconomic factors. It is relevant to the issue of evaluating the emergence of crisis situations resulting from socioeconomic instability in the monitored area. The results show that socioeconomic factors have a real statistically significant impact on crisis prediction and improve the accuracy of forecasts. This study offers a new perspective on the use of socioeconomic data in crisis management. Combined with the advanced Random Forest algorithm, it enhances the level of prevention of the negative impacts of socioeconomic factors on society.

The Use of Socio-Economic Aspects As a Tool Affecting The Security And Stability of Society

HuSoc Boston – Humanities & Social Sciences International Conference
12-13 March 2024, Boston, USA
Presentation, language: English (*CERTIFICATE OF ATTENDANCE AND PRESENTATION, *CERTIFICATE OF THE BEST PRESENTER)

Socio-economic aspects are nowadays one of the most $important factors for the safety and stability of society. According to them, the possibility of the emergence of pathogenic anomalies threatening the stability of society can be predicted. Based on this fact, it is possible to implement preliminary measures to prevent the occurrence of extraordinary events well in time´s advance. The given theory can be demonstrated on the models of E.W. Burgess concentric zonal structure of the city and on Harris & Ullman multi-core model of the city. Thanks to knowledge from sociology and safety engineering we can to present, how the security and stability of society in a given location can be moved to a higher level, if we know very wel socio-economic aspects of society. .

Socioeconomic Aspects As a Tool For Predicting The Occurrence of Extraordinary Events

9th International Conference on Social Science, Humanities & Education
March 1st - 3rd, 2024, Vienna, AUSTRIA
Presentation, language: English (*CERTIFICATE OF ATTENDANCE AND PRESENTATION)

The socio-economic aspect belongs to one of the most important factors of society today. In many ways, it is decisive for the subsequent course of social, economic and other events. It predicts and determines events in society. It can also be noted that it conditions extraordinary events and is projected on their background. With the help of socio-economic aspects, it is possible to predict the occurrence of extraordinary events in a given locality and realize preliminary measures to prevent the occurrence of these events. By linking the knowledge of sociology with the knowledge of security engineering and applying this knowledge in practice using the model of zonal structures of cities by E.W. Burgess, i.e. the concentric zonal structure, and by Harris & Ulmanový, i.e. the multi-core model of the zonal structure of the city, it is possible to predict the occurrence of extraordinary events and also to prevent them in sufficient time before their occurrence. The reflection of the socio-economic aspects of society can basically move security to other, more effective levels.

Protection of The Environment From The Negative Effects of Socio Economic Systems

Twentieth International Conference on Environmental, Cultural, Economic & Social Sustainability
January 24th - 26th, University of Aveiro, Aveiro, PORTUGAL
Presentation, language: English (*CERTIFICATE OF ATTENDANCE AND PRESENTATION)

Environmental protection consists in maintaining the dynamics of environmental systems and in the reflex of events existing and shaping human society. Humans represent one of the most important elements of threat and danger to fragile ecological systems. Human confrontation with ecosystems depends on behavior and needs, which in this regard are also shaped by socio-economic aspects. In natural processes, socio-economic aspects presented in society can begin to slow down, stop or completely destroy these processes. There is disruption of favorable conditions for life on the planet and disruption of functional eco-systems. This work focuses on the evaluation of socio-economic aspects, as an element having an impact on the environment. The procedure is based on the model of the concentric zonal structure of the city by E.W. Burges and on the multi-core model of Harris and Ullman, from which the settings for the formation of a healthy and functional eco-environment can be derived. Thus, the sustainability of properly functioning ecosystems can be effectively planned with the help of tools - culture, economy and society. By aligning social needs with the correct setting of socio-economic aspects in a given society, it is possible to shape society’s thinking related to the willingness to solve the environmental problems of its surroundings. Properly set socio-economic-cultural programs and ways of socio-economic rewards of a person, success in environmental protection can be achieved. (online)

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