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The paper reviews existing literature on South Asian ecosystem-based disaster risk reduction (DRR) and identifies how community participation can be used to plan and implement ecosystem-based DRR approaches.

The literature review methodology involved several stages. Firstly, the research objective was determined. Secondly keywords for the literature search were determined. Scopus, Google Scholar, JSTOR and AUT online library were utilized for the literature search. After the search, the literature was screened. The study design, methodology, results and limitations were identified and documented. After data extraction, the literature was analyzed. The patterns, trends and inconsistencies in the literature were identified based on the research question. Later the gaps, controversies and future research needs were identified. Then, a comprehensive and structured literature review that summarizes the relevant literature, synthesizes the findings and provides a critical evaluation of the literature was documented. After writing the document, it was reviewed and edited to ensure its clarity, accuracy and coherence.

The paper identifies four different themes recurrently emerging in literature on the importance of community participation in ecosystem-based DRR in South Asia. The themes are local community participation in ecosystem-based DRR governance, knowledge production, livelihood enhancement and increased public acceptance.

The paper also illustrates the challenges in integrating community participation with the dominant physical scientific approaches ecosystem-based DRR and proposes a five-element framework to facilitate the integration.

Community centers play a socio-economic and urban role of combining different communal necessities, that serve inhabitants, at different neighborhoods in cities. Their role emerged in importance as being a hub for improving and customizing quality of life experiences of the public. This research presents a code-based risk assessment tool for evaluating fire safety measures that can be adapted in the context of community centers. It also provides an exemplary case study to demonstrate its application.

The study identified the factors that render community centers as a high-risk type of facilities in fire events. Various fire codes and standards were reviewed to describe the relevant fire safety measures. A code-based fire risk assessment tool was developed and implemented, through a case study. A set of recommendations were developed to improve the fire safety conditions of the case study facility.

Several violations to fire safety were identified in the case study building. The findings led to identifying a set of recommendations to improve its fire safety conditions.

This research introduced a systematic approach to raise awareness about fire incidences and consequences in community centers, and provides facilities managers with a tool, to assess compliance based on international fire code requirements.

In fire events, community centers are considered as high-risk facilities that may lead to significant losses of human lives and damages to assets. It is significant to study the causes of fire, for ensuring effective prevention and safe operations.

This conversation highlights the need to rethink how we approach disaster risk reduction in different South Asian contexts.

This paper is based on the webinar held as part of Asia Week at the University of Copenhagen which was organised by Asian Dynamics Initiative and Copenhagen Centre for Disaster Research on the September 12, 2023.

The prominent themes emerging from this conversation represents hybridity, self-rule and self-recovery. Along with this we suggest a fundamental turn to ensuring hope, solidarity and empathy is part of a post-colonial future.

The conversation contributes to the ongoing discussions on moving away from colonial practices in disaster risk reduction and disaster studies broadly.

This study aims to identify the readiness of institutional repositories in Indonesia to implement digital humanities (DH) data curation. Data curation is a method of managing research data that maintains the data’s accuracy and makes it available for reuse. It requires controlled data management.

The study uses a qualitative approach. Data collection was carried out through a focus group discussion in September–October 2022, interviews and document analysis. The informants came from four institutions in Indonesia.

The findings reveal that the national research repository has implemented data curation, albeit not optimally. Within the case study, one of the university repositories diligently curates its humanities data and has established networks extending to various ASEAN countries. Both the national archive repository and the other university repository have implemented rudimentary data curation practices but have not prioritized them. In conclusion, the readiness of the national research repository and the university repository stand at the high-capacity stage, while the national archive repository and the other university repository are at the established and early stages of data curation, respectively.

This study examined only four repositories due to time constraints. Nonetheless, the four institutions were able to provide a comprehensive picture of their readiness for DH data curation management.

This study provides insight into strategies for developing DH data curation activities in institutional repositories. It also highlights the need for professional development for curators so they can devise and implement stronger ownership policies and data privacy to support a data-driven research agenda.

This study describes the preparations that must be considered by institutional repositories in the development of DH data curation activities.

With the worldwide open government data (OGD) movement and frequent public health emergencies in recent years, academic research on OGD for public health emergencies has been growing. However, it is not fully understood how to promote OGD on public health emergencies. Therefore, this paper aims to explore the factors that influence OGD on public health emergencies.

The technology–organization–environment framework is applied to explore factors that influence OGD during COVID-19. It is argued that the effects of four key factors – technical capacity, organizational readiness, social attention and top-down pressure – are contingent on the severity of the pandemic. A unique data set was created by combining multiple data sources which include archival government data, a survey of 1,034 Chinese respondents during the COVID-19 outbreak and official COVID-19 reports.

The data analysis indicates that the four factors positively affect OGD, and pandemic severity strengthens the effects of technical capacity, organizational readiness and social attention on OGD.

This study provides theoretical insights regarding how to improve OGD during public health emergencies, which can guide government efforts in sharing data with the public when dealing with outbreak in the future.

The question of “why we are in disaster studies” can be essential to reflect on discourses and practices – as students, researchers and professors – in constituting an oppressive disaster science and finding ways to liberate from it.

This paper is based on autobiographical research and institutional ethnography to observe and analyze the discourses and practices about career trajectories as students, researchers and professors in disaster studies.

The paper provides some categories, concepts, theoretical approaches and lived experiences helpful for discussing ways of liberating disaster studies, such as public sociology of disaster.

Few papers have focused on professional trajectories in disaster studies, bringing insights from public sociology and questioning oppressive disaster science.

Every day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models.

A new model is developed to pursue the necessary relations in an optimal way that will minimize human, financial and moral losses. In this developed model, in order to optimize the problem and minimize the amount of human and financial losses, the following subjects have been applied: magnitude of the areas in which an accident may occur as obtained by multiple attribute decision-making methods, the distances between relief centers, the number of available rescuers, the number of rescuers required and the risk level of each patient which is determined using previous data and machine learning (ML) algorithms.

For this purpose, a case study in the east of Tehran has been conducted. According to the results obtained from the algorithms, problem modeling and case study, the accuracy of the proposed model is evaluated very well.

Obtaining each injured person's priority using ML techniques and each area's importance or risk level, besides developing a bi-objective mathematical model and using multiple attribute decision-making methods, make this study unique among very few studies that concern ML in the humanitarian supply chain. Moreover, the findings validate the results and the model's functionality very well.

Conflict and violence are the main drivers of globally escalating humanitarian needs. Local grassroots initiatives are pivotal in distributing humanitarian supplies in the acute response phase until more established humanitarian aid organizations can enter. Nevertheless, scant research exists regarding the role of grassroots associations in providing humanitarian assistance during a military conflict. The purpose of this paper is to understand the role of grassroots associations and identify important themes for effective operations.

This paper adopts a case-study approach of three Ukrainian grassroots associations that began operating in the immediate days of the full-scale invasion of Ukraine. The findings are based on analyzing primary sources, including interviews with Ukrainian volunteers, and are supported by secondary sources.

Grassroots associations have local contacts and a contextual understanding of population needs and can respond more rapidly and effectively than large intergovernmental agencies. Four critical themes regarding the operations of grassroots associations emerged: information management, inventory management, coordination and performance measurement. Grassroots humanitarian response operations during conflict are challenged by personal security risks, the unpredictability of unsolicited supplies, emerging volunteer roles, dynamic transportation routes and shifting demands.

Grassroots responses are central to humanitarian responses during the acute phase of a military conflict. By examining the operations of grassroots associations in the early months of the 2022 war in Ukraine, the authors provide a unique perspective on humanitarian logistics. Nonetheless, more inclusive models of humanitarian responses are needed to harness the capacities and resilience of grassroots operations in practice.

At the authors’ libraries, they consolidated two departments and attempted to find ways to increase productivity, reduce duplication and improve job happiness within their software development teams. The authors have lost institutional knowledge when developers leave the team, yet the authors remain responsible for critical library services. The merging of the authors’ departments provided the opportunity to rethink how their teams are structured and whether a different model could provide better professional development, more knowledge sharing and better stability of their services. This article presents a case study of moving from a project-centric approach to a platform-based model.

The authors met with those responsible for establishing priorities for their services and developers to assess successful and unsuccessful implementations and pivoted based on those assessments.

The authors found that their developers were happier to increase their portfolios and professional development, and the librarians were satisfied with more stable services during a particularly unstable time within the authors’ institution.

This is a practical example of a positive way to structure development teams in libraries. Frequently, teams support a single service to the library because of the criticality of that service on a day-to-day basis, but that can create a lack of shared knowledge during institutional instability. This study reveals the benefits of a platform-based approach, including increased developer happiness, reduced disruptions due to staff turnover and improved system stability. It also discusses the challenges of managing product owners' expectations and balancing feature development with maintenance work.

The purpose of this paper is to assess the level of nurses’ competencies while providing care to COVID-19 patients.

A descriptive, correlational design was used to collect data from nurses who were providing care to COVID-19 patients at four public hospitals.

A total of 377 nurses (64.5% females) aged 23–50 consented to participate and completed the survey. The mean score of nurses’ competencies in providing care to COVID-19 patients was 2.5 (SD = 0.81). The results of correlation coefficient tests disclosed a significant positive correlation between reported competence level and sex r_pb (377) = 0.18, p < 0.01; working area r_pb (377) = 0.2, p < 0.01; disaster experience r_pb (377) = 0.16, p < 0.01; disaster education r_pb (377) = 0.25, p < 0.01; and disaster training r_pb (377) = 0.31, p < 0.01.

The COVID-19 pandemic response heavily relied on nurses. However, they had a gap in clinical competencies that indicates an urgent need to incorporate disaster management courses in basic nursing education and to update training in hospitals based on nurses’ needs to improve their capabilities in dealing with COVID-19 pandemic.

To the best of the authors’ knowledge, this is the first study that investigated the perceived level of Jordanian nurses’ competencies in providing care to COVID-19.