ISKO is a scholarly organisation concerned with the theory and practice of knowledge organisation. Its membership is drawn from a range of disciplines including information science, philosophy, linguistics, and computer science.
Abstract: This paper describes the development of an ontology of risk as a way of better understanding the nature of the potential harms individuals are exposed to when they disclose personal data online. The ontology was designed to be compatible with BFO, the Basic Formal Ontology, which is intended to promote interoperability. Ontologies from domains such as genetics and medical research are in many instances designed to conform to BFO. An initial exercise to monitor the online activity of six participants from the library and information services community helped to identify the points at which personal data is disclosed during online activity. It also explored the motivations for these disclosures, by questioning participants about their perceptions of risk. The resulting analysis suggested that an ontology would be better than a typology to represent the complex relationships between risk concepts. Terms were also extracted from existing terminologies. Risk scenarios were developed and tested during a formative seminar and incorporated into the ontology. A potential application of the ontology is to identify clusters of risk and map the factors that contribute to specific risks.
Dr David Haynes, ISKO 2020 best paper award winner
Congratulations to our Centre for Social Informatics colleagues Dr Lyndsey Middleton (née Jenkins) and Dr Leo Appleton, both of whom graduated with their PhDs last week. Sadly, due to the coronavirus pandemic, we were unable to celebrate with them in person in the usual way at the Edinburgh Napier University graduation ceremony at the Usher Hall. However, the University was able to mark the day in other ways, including this video.
Lyndsey’s PhD thesis is entitled Exploring the development of innovative work behaviour of employees in multiple workplace contexts. Continue reading →
The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. It was established in 2015 with headquarters at the British Library in London. The work of the Institute is achieved through collaborations between universities, businesses, and public and third sector organisations to address some of the biggest challenges in science, society and the economy.