Search results

This paper aims to explore digital twin technology in the preservation of indigenous knowledge system. It examines the benefits, challenges and future directions on leveraging digital twin technology in the preservation of indigenous knowledge system.

The study uses a literature review to analyze existing research on Leveraging digital twin technology in the preservation of indigenous knowledge systems. It synthesizes key findings and identifies trends, challenges and opportunities for further exploration.

Leveraging digital twin technology to preserve indigenous knowledge represents a significant step forward in safeguarding cultural diversity, promoting sustainable development and honoring the wisdom of indigenous communities.

This paper contributes to the preservation of indigenous knowledge system. It highlights the importance of considering emerging trends like the digital twin technology to preserve indigenous knowledge system.

This study aims to examine Big Data and the management of libraries in the era of the Fourth Industrial Revolution and its implications for policymakers in Nigeria.

A qualitative methodology was used, involving the administration of open-ended questionnaires to librarians from six selected federal universities located in Southwest Nigeria.

The findings of this research highlight that a significant proportion of librarians are well-acquainted with the relevance of big data and its potential to positively revolutionize library services. Librarians generally express favorable opinions concerning the relevance of big data, acknowledging its capacity to enhance decision-making, optimize services and deliver personalized user experiences.

This study exclusively focuses on the Nigerian context, overlooking insights from other African countries. As a result, it may not be possible to generalize the study’s findings to the broader African library community.

To the best of the authors’ knowledge, this study is unique because the paper reported that librarians generally express favorable opinions concerning the relevance of big data, acknowledging its capacity to enhance decision-making, optimize services and deliver personalized user experiences.

Conventional lecture-based educational approaches alone might not be able to portray the complexity of disaster risk management practice and its real-life dynamics. One work-integrated learning practice that can give students practical work-related experiences is simulation-based learning. However, there is a limited discourse on simulation-based learning in disaster risk management education at the tertiary level. As tertiary education plays a crucial role in developing capabilities within the workforce, simulation-based learning can evoke or replicate substantial aspects of the real world in a fully interactive fashion. This paper aims to present outcomes of simulation-based learning sessions the authors designed and delivered in a disaster risk management course.

The authors developed a framework to illustrate simulation-based learning in a disaster risk management programme. It was then used as a guide to design and execute simulation-based learning sessions. An autoethnographic methodology was then applied to reflectively narrate the experiences and feelings during the design and execution of the simulations.

The evaluation of the simulation sessions showed that participants were able to apply their knowledge and demonstrate the skills required to make critical decisions in disaster risk reduction. The conclusion from the simulation-based learning sessions is that making simulation-based learning a part of the pedagogy of disaster risk management education enables students to gain practical experience, deliberate ethical tensions and practical dilemmas and develop the ability to work with multiple perspectives.

The simulated workplace experience allowed students to experience decision-making as disaster risk management professionals, allowing them to integrate theory with practice.

The purpose of this paper is to map the cascade effects of emergencies on critical infrastructure in a fast-growing city of a developing country. The paper specifically seeks to refocus the attention of decision makers and emergency managers towards a more effective way of reducing risk and costs associated with contingencies.

The study was based on a 2D representation of the three initiating events of fire, flood and automobile crashes. Detailed analysis was undertaken of the effects on the critical infrastructure, based on the probability of occurrence, frequency, spatial extent and degree of damage for the emergencies studied. Subsequently, a cascade matrix was generated to analyse the level of interaction or interdependencies between the participating critical infrastructures in the study area. A model of the cascade effects under a typical emergency was also generated using a software model of network trace functions.

The results show that while different levels of probability of occurrence, frequency and extent of damage was observed on the evaluated critical infrastructure under different emergency events, damage to the electricity distribution components of the critical infrastructure recorded the highest cascade effect for all emergency events.

This paper underlines the need to pay greater attention to providing protection to critical infrastructure in the rapidly growing cities, especially in developing countries. Findings from this study in Abeokuta, Nigeria, underscore the needs to expand the prevailing critical infrastructure protection beyond the current power and oil sectors in the national development plan. They also highlight the urgency for greater research attention to critical infrastructure inventories. More importantly, the results stress the need for concerted efforts towards proactive emergency management procedures, rather than maintaining the established “fire brigade, window dressing” approach to emergency management, at all levels of administration.