About Hazel Hall

Professor Hazel Hall is Professor of Social Informatics at Edinburgh Napier University, UK, Docent of Information Studies a Åbo Akademi, Finland.

Katherine Stephen to present on the Imitation Game at the BSA Work, Employment and Society conference 2021

Katherine Stephen

Katherine Stephen

Congratulations to Centre for Social Informatics PhD student Katherine Stephen on the acceptance of a paper that she submitted for presentation at the British Sociological Association Work, Employment and Society conference 2021.

Katherine’s paper is entitled Investigating cognitive adaptability in new workplace cultures with the Imitation Game. Its content is focused on deployment of the Imitation Game to determine workers’ application of cognitive adaptability when entering new workplace cultures. Continue reading

Congratulations Associate Professor Dr Peter Cruickshank!

Normally at this time of year, thousands of newly-minted graduates collect their degree certificates at university graduation ceremonies across the UK. Were we not under pandemic restrictions, my colleague Peter Cruickshank would be one of those crossing the stage this month at Edinburgh’s Usher Hall, marking the completion of his doctorate in May 2021. Continue reading

From Brazil to Finland in 19 hours

Over the past couple of days I have achieved something that I would never have agreed to attempt in ‘normal’ times: I attended two PhD examinations on two different continents, 19 hours apart*. Continue reading

Marina Milosheva and Thoko Kachale contribute to the SGSSS summer school 2021

Scottish Graduate School of Social Science summer school 2021 logoThe Scottish Graduate School of Social Science (SGSSS) summer school 2021 runs this week between 14th and 21st June. The PhD students in the Centre for Social Informatics have signed up for several sessions at the summer school. In addition, on Thursday afternoon two of our students – Marina Milsoheva and Thoko Kachale – are hosting a rerun of the training event that they ran successfully in February this year. Continue reading

‘Workplace information literacy: measures and methodological challenges’ – now published

Journal of Information Literacy logoWorkplace information literacy: measures and methodological challenges is a new paper published this week in the latest issue of the Journal of Information Literacy. Centre for Social Informatics colleagues Peter Cruickshank and Bruce Ryan are members of the team of authors who co-wrote the paper under the leadership of Professor Gunilla Widén of Åbo Akademi University. Continue reading

Spreading the news of RIVAL at the 2021 CILIPS and SCURL conferences #cilips21

RIVAL logoFollowing the completion of our Royal Society of Edinburgh (RSE) funded Research Impact Value and Library and Information Science (RIVAL) project at the end of March 2021, Dr Bruce Ryan and I are each pleased to have an opportunity to speak about this work at two different conferences this week. The first is the Chartered Institute of Library and Information Professionals Scotland (CILIPS) annual conference, which opened today. The second is the annual conference of the Scottish Confederation of University and Research Libraries (SCURL), which takes place on Wednesday. Continue reading

Workplace information literacy and innovative work behaviour: new article in press with the Journal of Documentation

Journal of Documentation 2021 Workplace information literacy: a bridge to the development of Innovative Work Behaviour is a new paper about information-related determinants of Innovative Work Behaviour (IWB). I co-authored this paper with Dr Lyndsey Middleton, drawing on the findings of Lyndsey’s ESRC/Skills Development Scotland-funded doctoral research* completed within the Centre for Social Informatics. The paper was accepted for publication in the Journal of Documentation last week. Continue reading

Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries #QQML2021

Dr Leo Appleton

Dr Leo Appleton

The 13th Qualitative and Quantitative Methods in Libraries International Conference (QQML2021) takes place this week from Tuesday 25th until Friday 28th May. At the conference, Dr Leo Appleton, who completed his doctoral study within the Centre for Social Informatics last year, is presenting a paper that he and I have co-authored.

Entitled ‘Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries‘, the theme of our paper is the novel multilocation longitudinal focus group method that Leo adopted for the empirical phase of his PhD research on the role of UK public libraries. In his presentation slot on Tuesday, Leo will discuss the value of data collection from fiftythree participants in three rounds of focus group meetings in eight UK public library authorities. He will explain that this approach generated a rich data set for qualitative analysis. In particular, he will draw attention to the increasing level of sophistication and depth of discussion amongst the study participants over the course of the three rounds of focus group meetings. Leo will also acknowledge participant attrition as the main drawback of this approach. Continue reading

Contributions sought: What does the public library mean to refugees and asylum speakers?

Rachel Salzano art exhibition call posterCentre for Social Informatics PhD student Rachel Salzano is currently seeking submissions for a public exhibition of art work to represent the reasons that refugees and asylum seekers use UK public library services. Rachel will be pleased to feature all types of art work in the exhibition, including, for example, photographs, paintings, collages, and 3D creations. Continue reading

Fully-funded PhD opportunity: labour market intelligence and machine learning

ESRC-SDS-Napier studentship logos

We invite applications for a fully-funded PhD studentship within the Centre for Social Informatics at Edinburgh Napier University.

The studentship is entitled Enhancing labour market intelligence using machine learning. It is suitable for holders of undergraduate or Masters degrees in subjects such as Business Information Systems, Business Studies, Computing, Data Science, or Information Science, Continue reading