LLMPathy:A Multi-Agent LLM Approach for Eliciting Inclusive Security Requirements

With a surge in cyber attacks targeted towards exploiting the human element of cybersecurity, it is vital to account for the diverse abilities and limitations of users. These limitations, whether temporary or permanent, physical or cognitive, acquired or congenital, vary in severity and deeply influence security related behaviour of users and give rise to a critical question: Should cognitively impaired users be held accountable if their actions result in a security breach? This paper presents a five-step approach that uses multi-agent large language models (LLMs) to identify inclusivity concerns and refine security requirements accordingly. The proposed approach (LLMPathy) is validated through a realistic use case, demonstrating its usability, effectiveness, and potential for adoption in real-world scenarios

Plant Species Classification Using Evolving Ensemble and Siamese Networks

Image-based dried plant specimen identification poses a significant challenge due to the large number of possible classes and the extreme scarcity of labelled training samples. To tackle these limitations and mitigate classification biases, this research proposes a Particle Swarm Optimisation (PSO)-based weighted evolving ensemble model as well as a Siamese network for plant species classification. Specifically, we first diversify the base classifier pool by employing three networks, i.e. ResNet50, Xception, and VGG19, fine-tuned using the specimen samples. Besides the adoption of a mean average ensemble model, a weighted ensemble scheme with PSO-based optimal weighting factor generation is also utilised to integrate the outputs of the three base networks for tackling classification variances. In addition, to further tackle species classification with extremely imbalanced data, a Siamese network with ResNet50 as the backbone is utilised. Evaluated using a challenging FGVC6 data set with Melastomataceae images, the PSO-based weighted ensemble model is able to assign more influence to the best performing base networks for ensemble prediction and outperforms the traditional mean average ensemble method. Moreover, the Siamese network also obtains competitive performance for solving imbalanced specimen classification by performing comparing similarity scores between image embeddings

Revolutionising Marketing Education – A Sociocultural Approach to Praxis Pedagogy

This paper examines how the changing marketing landscape necessitates transformative learning approaches capable of preparing students for responsible and collaborative practice of marketing. It considers the potential of a Freirean praxis approach to marketing education informed by sociocultural theory to propose a framework for transformative learning.This is a conceptual piece integrating insights from Freire’s pedagogy and Vygotsky’s theory to propose a praxis pedagogies-based sociocultural framework for marketing education and ultimately employability.The paper identifies a set of key technological, environmental and societal factors impacting marketing and marketing education. In response to these, an integrative framework is provided to prepare students for the current and future challenges arising. Given the nature of the factors identified, this framework proposes a pedagogical approach that is not only critical but also socio-culturally informed.It adds to the burgeoning literature on responsible marketing education offering a theoretical and practical framework.This framework provides marketing educators with practical tools. Grounded in praxis and sociocultural theory, it equips students with critical thinking and collaboration skills, preparing them as marketers in response to societal and technological challenges.This approach is built on theory and exemplars directed at positive social change.The novelty of this pedagogical approach derives from the unique integration of theoretical perspectives from praxis and sociocultural theories towards transforming marketing education and thus practice in directions that are sustainable, socio-culturally grounded, and participatory

Hum/Ine: Interspecies Empathy, Composition, and Horses

This project explores the relationships between horses and humans, primarily focussing on the empathetic aspects of sound and communication. The research investigates how working with sound can deepen our understanding of and connection with horses and, how a creative compositional practice could provide an opportunity to enhance interspecies bonds and interactions.The portfolio uses a combination of methodologies to explore these ideas of interspecies empathy. Key elements include: sound and listening technologies (including binaural microphones) that allow for detailed sonic capture; the idea of creative interspecies collaboration; the creative implications of zoomusicology; and the importance of listening with- as well as to- animals. The research outputs take the form of electroacoustic compositions, text-based scores, and an installation. In encouraging horses to participate in the process, the work aims to investigate or facilitate interspecies communication, co-creation/collaboration, and extra-linguistic communication.The pieces in the portfolio do not seek to replicate the listening experience of the horse but are proposals for how we might creatively approximate such experiences to explore ideas of interspecies empathy. The research is inherently multidisciplinary and provides novel methods of exploring equine experiences and empathetic connections through creative and playful means. The work offers new frameworks for collaborative and co-creative art practices involving non-human participants. In the portfolio I present innovative approaches which attempt to blend artistic practice with scientific curiosity

Digital CBT for OCD: Perspectives on the therapeutic alliance from adolescents and therapists

Adolescents with obsessive-compulsive disorder (OCD) face unique challenges in engaging with cognitive-behavioural therapy (CBT), particularly the distress associated with exposure and response prevention (ERP) tasks. As digital delivery of CBT becomes increasingly widespread, questions remain about how the therapeutic alliance - a key predictor of treatment outcomes - is developed and sustained in this format. This study explored how adolescents and therapists experience the process of building and maintaining the therapeutic alliance during digital CBT for OCD, with particular attention to barriers, facilitators, and adaptations. Semi-structured interviews were conducted with six therapists and four adolescents who had participated in digital CBT for OCD. Although recruitment targeted ‘adolescents’, the client participants predominantly represented the upper end of adolescence, with all aged 18 or over (i.e. aligning with many definitions of emerging adulthood). For continuity with the study framing and service context, the term ‘adolescent’ is retained to denote older adolescents/emerging adults and interpret the findings with this developmental positioning in mind. A reflexive thematic analysis was used to identify patterns in participants’ experiences, highlighting both shared and divergent perspectives across the two groups. The analysis identified seven themes, illustrating both the opportunities and obstacles when fostering the alliance in digital settings. Therapists described making deliberate adaptations to humanise the digital space and maintain emotional presence, while adolescents emphasised the importance of privacy and developmentally-attuned approaches to support engagement. Technical and home-based disruptions, and the emotional distance of digital therapy were reported as barriers to openness - particularly during ERP tasks that rely on trust and in-the-moment support. Collaboration and flexibility emerged as essential strategies for overcoming these challenges, with both groups emphasising the importance of tailoring therapy to adolescents’ individual needs and daily environments. The findings underscore the importance of therapist adaptability, collaborative planning, and intentional rapport-building in digital CBT for OCD. Collectively, the themes point to concrete strategies - such as normalising the digital format, co-designing ERP tasks, and protecting privacy - that therapists can integrate into sessions to foster adolescent engagement and relational depth. Embedding these competencies into therapist training and service protocols may enhance digital CBT delivery and thus warrants systematic evaluation in future research