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This comparative case study looks towards the diverse approaches of higher education to support peacebuilding, from policy and philosophy to pedagogical practices, in conflict-affected and post-conflict settings. The achievement of global development goals is dependent on addressing access to quality education in conflict-affected contexts, including higher education. However, in settings affected by conflict, higher education is often perceived to be a luxury, not a necessity. This study, then, explores whether and how higher education might support peace and development through the unique perspective of the “three faces” of higher education in conflict contexts.

The paper is designed as a qualitative comparative case study. The research examines the work of university educators in two institutions in Afghanistan and Somaliland, highlighting the challenges and opportunities they face working in conflict-affected societies and their pedagogical responses to conflict. Data for the research were collected through in-depth interviews, documents, and digital artifacts with 12 university educators across the two institutions. The faculty teach a wide variety of subjects in the social sciences and humanities, subjects including and in addition to those specific to peace and development studies. To strengthen the interpretation of data, multiple coders were involved and intercoder reliability was conducted.

Findings indicate a number of challenges and opportunities that university lecturers and their institutions face in teaching for peace in conflict-affected contexts, particularly as it relates to the “three faces” of higher education to support, impede, or reveal the complicated nuances of peacebuilding in conflict settings. Member-checking was employed with participants to enhance the reliability of the analysis.

In the end, the paper contributes new empirical insights into higher education in conflict-affected contexts, particularly from the standpoint of faculty. Critical perspectives and implications for curriculum, pedagogy and research are offered.

This paper aims to shed light on how children's literature in Africa deserves to be studied because African writers “decolonize” the minds of African children and children and adults around the world.

This paper defines children's literature from an African perspective and the “decolonization of the mind.” This is done to examine how two African writers provide narratives for children inspired by their cultures. They deal with themes, characters and symbols that interest children and adults.

Achebe and Youssef crossed many borders: the world of children and adults, animals and humans, vice and virtue, supernatural and real. Their stories take the reader on journeys that involve enriching, engaging and inspiring adventures.

Youssef and Achebe are prolific writers. Providing a survey of what is available in Arabic and Nigerian literature for children, is beyond the scope of this paper.

This paper sends a message to those in charge of the curriculum in schools in Egypt, the Arab countries, Africa and the world at large: decolonize the syllabi in schools because the world is not black and white. Literature for children that encourages critical thinking is available by African writers in Egypt, Nigeria and elsewhere.

The works discussed show that African writers are creative, and their works inspire the African child with pride in his/her identity, culture and heritage.

To the best of the author’s knowledge, no one has compared Egyptian and Nigerian literature for children before. Youssef and Achebe provide evidence that “Good literature gives the child a place in the world … and the world a place in the child.” – Astrid Lindgren.

This exploratory study aims to help contribute to the understanding of online information search behaviour of PhD students from different humanities fields, with a focus on subject searching.

The methodology is based on a semi-structured interview within which the participants are asked to conduct both a controlled search task and a free search task. The sample comprises eight PhD students in several humanities disciplines at Linnaeus University, a medium-sized Swedish university from 2020.

Most humanities PhD students in the study have received training in information searching, but it has been too basic. Most rely on web search engines like Google and Google Scholar for publications' search, and university's discovery system for known-item searching. As these systems do not rely on controlled vocabularies, the participants often struggle with too many retrieved documents that are not relevant. Most only rarely or never use disciplinary bibliographic databases. The controlled search task has shown some benefits of using controlled vocabularies in the disciplinary databases, but incomplete synonym or concept coverage as well as user unfriendly search interface present hindrances.

The paper illuminates an often-forgotten but pervasive challenge of subject searching, especially for humanities researchers. It demonstrates difficulties and shows how most PhD students have missed finding an important resource in their research. It calls for the need to reconsider training in information searching and the need to make use of controlled vocabularies implemented in various search systems with usable search and browse user interfaces.

The paper aims to expand on the works well documented by Joy Boulamwini and Ruha Benjamin by expanding their critique to the African continent. The research aims to assess if algorithmic biases are prevalent in DALL-E 2 and Starry AI. The aim is to help inform better artificial intelligence (AI) systems for future use.

The paper utilised a desktop study for literature and gathered data from Open AI’s DALL-E 2 text-to-image generator and StarryAI text-to-image generator.

The DALL-E 2 significantly underperformed when it was tasked with generating images of “An African Family” as opposed to images of a “Family”. The pictures lacked any conceivable detail as compared to the latter of this comparison. The StarryAI significantly outperformed the DALL-E 2 and rendered visible faces. However, the accuracy of the culture portrayed was poor.

Because of the chosen research approach, the research results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further. The implications, however, are that more inclusion is warranted to help address the issue of cultural inaccuracies noted in a few of the paper’s experiments.

The paper is useful for advocates who advocate for algorithmic equality and fairness by highlighting evidence of the implications of systemic-induced algorithmic bias.

The reduction in offensive racism and more socially appropriate AI can be a better product for commercialisation and general use. If AI is trained on diversity, it can lead to better applications in contemporary society.

The paper’s use of DALL-E 2 and Starry AI is an under-researched area, and future studies on this matter are welcome.

Research into the interpretability and explainability of data analytics and artificial intelligence (AI) systems is on the rise. However, most recent studies either solely promote the benefits of explainability or criticize it due to its counterproductive effects. This study addresses this polarized space and aims to identify opposing effects of the explainability of AI and the tensions between them and propose how to manage this tension to optimize AI system performance and trustworthiness.

The author systematically reviews the literature and synthesizes it using a contingency theory lens to develop a framework for managing the opposing effects of AI explainability.

The author finds five opposing effects of explainability: comprehensibility, conduct, confidentiality, completeness and confidence in AI (5Cs). The author also proposes six perspectives on managing the tensions between the 5Cs: pragmatism in explanation, contextualization of the explanation, cohabitation of human agency and AI agency, metrics and standardization, regulatory and ethical principles, and other emerging solutions (i.e. AI enveloping, blockchain and AI fuzzy systems).

As in other systematic literature review studies, the results are limited by the content of the selected papers.

The findings show how AI owners and developers can manage tensions between profitability, prediction accuracy and system performance via visibility, accountability and maintaining the “social goodness” of AI. The results guide practitioners in developing metrics and standards for AI explainability, with the context of AI operation as the focus.

This study addresses polarized beliefs amongst scholars and practitioners about the benefits of AI explainability versus its counterproductive effects. It poses that there is no single best way to maximize AI explainability. Instead, the co-existence of enabling and constraining effects must be managed.

Mapping and Geographic Information Systems (GIS) are widely used in disaster research and practice. While, in some cases, these practices incorporate methods inspired by critical cartography and critical GIS, they rarely engage with the theoretical discussions that animate those fields.

In this commentary, the author considers three such discussions, and draws out their relevance for disaster studies: the turn towards processual cartographies, political economy analysis of datafication and calls for theorising computing of and from the South.

The review highlights how these discussions can contribute to the work of scholars engaged in mapping for disaster risk management and research. First, it can counter the taken-for-granted nature of disaster-related maps, and encourage debate about how such maps are produced, used and circulated. Second, it can foster a reflexive attitude towards the urge to quantify and map disasters. Third, it can help to rethink the role of digital technologies with respect to ongoing conversations on the need to decolonise disaster studies.

The paper aims to familiarise disaster studies scholars with literature that has received relatively little attention in this field and, by doing so, contribute to a repoliticisation of disaster-related maps.

In this paper, the authors explore racialisation through human-centric counter-accounts (counter-stories) to bring together critical race theory (CRT) and counter-accounting.

The authors utilise CRT to demonstrate the emancipatory role of counter-stories in (re)telling racialized narratives, specifically the narrative of asylum seekers who arrive by sea and are subjected to the inhumane and oppressive nature of the Australian government's policy of offshore immigration detention.

Counter-stories, as tools of accountability, can make visible oppressive forces and the hidden practices of racialized social practices and norms.

This paper emphasises that we are not in a post-racial world, and racialisation remains a fundamental challenge. We must continue to refute race as an ontological truth and strive to provide a platform for counter-stories that can spark or drive social change. This requires allies, including academics, to give that platform, support their plight, and offer avenues for change.

The authors introduce CRT as a theoretical tool for examining racialisation, opening space for a more critical confluence of accounting and race with potentially wide-reaching implications for our discipline. The paper also contributes to the limited accounting literature concerning asylum seekers, particularly in the use of counter-stories that offer a way of refuting, or challenging, the majoritarian/dominant narratives around asylum-seeking.

The purpose of this paper is to explore how posthumanism can contribute towards reframing responsible management education (RME) after the pandemic. Ethics has been a growing concern in management education for some time now, but the need to acknowledge the limitations and side effects of the global economy and the interdependences between biological and societal systems has come to the forefront in dramatic fashion during the pandemic.

Posthumanism proposes moving beyond traditional dichotomies such as nature-culture and social-material to introduce a relational epistemology in which attention is focused on local sociomaterial entanglements. This also introduces a new moral posture that is not based on formal principles but on a strong commitment to assembling the world and a capacity to cultivate response-abilities. As far as responsible management is concerned, it means moving the focus from managers to managing practices.

The contribution casts an original and critical eye on the reframing of RME and encourages a movement towards a “decolonisation” of educational methodologies. Posthumanist research acknowledges that pedagogical practices are the loci power relations and inclusion or exclusion come into play and are inscribed in the materiality of education, in the sense of objects as well as human bodies. Then, by applying on the author's experience as teacher, the paper provides inputs for developing a posthumanist research agenda for RME after the pandemic.

The contribution uses posthuman lens to explore RME and develops an original research agenda starting from the author’s teaching practices.