Knowledge extraction from a small corpus of unstructured safeguarding reports

This paper presents results on the performance of a range of analysis tools for extracting entities and sentiments from a small corpus of unstructured, safeguarding reports. We use sentiment analysis to identify strongly positive and strongly negative segments in an attempt to attribute patterns on the sentiments extracted to specific entities. We use entity extraction for identifying key entities. We evaluate tool performance against non-specialist human annotators. An initial study comparing the inter-human agreement against inter-machine agreement shows higher overall scores from human annotators than software tools. However, the degree of consensus between the human annotators for entity extraction is lower than expected which suggests a need for trained annotators. For sentiment analysis, the annotators reached a higher agreement for annotating descriptive sentences compared to reflective sentences, while the inter-tool agreement was similarly low for the two sentence types. The poor performance of the entity extraction and sentiment analysis approaches point to the need for domain-specific approaches for knowledge extraction on these kinds of document. However, there is currently a lack of pre-existing ontologies in the safeguarding domain. Thus, in future, our focus is the development of such a domain-specific ontology

Towards gender equality in software engineering: the NSA approach

Multiple studies show that women are under-represented in almost all of fields of Science, Technology, Engineering and Maths (STEM). This gender gap is also present at higher education institutions in both student numbers and academic staff. A range of measures could be implemented to tackle this issue. In this position paper, we outline the measures that the School of Computer Science and Informatics of Cardiff University, UK, implemented over the past years, to foster a culture in which women could excel. Then, we discuss the measures that we plan to implement in future in order to increase the number of women both among students and academic staff

The SPARC prototype: Towards a socio-technical innovation designed to create collaborative connections between experts

This cross-disciplinary, consisting of a legal academic and team of computer sciences, discusses their work around the development of a socio-technical innovation, designed to create novel and potentially path-breaking connections between academics, industry, government and the broader community. Presenting their prototype of the software application, and the theory and scholarship which underpins the original idea, the team also highlights the kind of social scientific, behavioural and technical work that lies ahead in developing a high-spec application designed to enhance our connective capital

Audit Design: A semi-automated method to monitor community knowledge transfer in World Heritage Site management plans

The contribution of local communities to the development of World Heritage Site (WHS) management systems has been ubiquitous in both the literature and practice. However, the effectiveness of these engagement initiatives has rarely been audited. The structure of WHS management plans is prescriptive and they are prone to automated scrutiny, so their development can be audited and exploited from the viewpoint of deploying community ideas. This paper proposes a semi-automated method named Audit Design by examining the preparation process of participative management plan for Diyarbakir Fortress and Hevsel Gardens Cultural Landscape WHS to quantify knowledge transfer from consultations of communities to management plan actions of WHS. It illustrates the development and validation of Audit Design with Knowledge Representation and Natural Language Processing techniques, a reliable semi-automated tool, gauging five different levels of knowledge transfer and producing precise natural language representations for auditing knowledge transfer, aiding with monitoring inclusiveness in developing WHS management systems

Crowdsourcing real world feedback for human computer interaction education

In this chapter we investigate using real-world feedback to compliment academic feedback during a course on mobile development using HCI methods. Students used crowdsourcing and macro tasking to recruit suitable end-users in order to generate feedback. During the study, we uncovered benefits and disbenefits for both staff and student stakeholders, motivations and blockers that readers and others planning to apply this method should be aware of. We report on practical matters of scalability, legal and governance issues that arise. Overall, the process proposed in the chapter produces a greatly enhanced experience for students and improves the richness of the feedback as well as the authenticity of the end-user testing experience. Challenges that are faced include incorporating this process within an academic environment with matters such as the liability of the university towards externalising student work. Overall, we were also surprised to see that harsh criticism was not taken negatively by students but was a source of motivation to improve