Edinburgh Napier University opened its doors again this morning after the Christmas break. This, however, is metaphorical reopening for me. As record numbers of Covid19 cases are reported in Scotland (and the UK as a whole), I will be continuing my research and PhD supervision activities off-campus from home. Continue reading
Congratulations to Centre for Social Informatics PhD students John Marshall and Marianne Wilson, who will be awarded their MSc(R) degrees by the University of Edinburgh today. John and Marianne undertook this degree as the first funded year of their 1+3 ESRC/Skills Development Scotland doctoral programmes, awarded by the Scottish Graduate School of Social Science.
Study for the MSc(R) degree at the University of Edinburgh comprises core training in social science research methods with modules on research design, data collection, and data analysis, and elective specialist modules specific to individuals’ research interests and needs. Continue reading
The latest output from Marina Milosheva‘s ESRC/SDS funded doctoral study on career information literacy has recently been published in the Journal of the National Institute for Career Education and Counselling (NICEC Journal). Marina is the lead author of ‘The role of information in career development‘ with her supervision team co-authors: Professor Pete Robertson, Dr Peter Cruickshank, and Professor Hazel Hall.
To date the theme of information in career development has received relatively little research attention. This new paper addresses this gap in the literature by reviewing publications from three domains – Career Studies, Organisational Studies, and Education – produced between 2000 and 2021. Continue reading
Congratulations to Centre for Social Informatics research student Marianne Wilson, winner of the Masters award in the Skills Development (SDS) Scotland Virtual 3MT competition 2021. Continue reading
Today Centre for Social Informatics PhD student Katherine Stephen starts a 3-month paid internship with Marine Scotland. The internship has been organised through the Scottish Graduate School of Social Scottish Science (SGSSS) internship programme, and is funded by the Scottish Government. Continue reading
Workplace information literacy: a bridge to the development of innovative work behaviour is an article that I recently co-authored with Dr Lyndsey Middleton. It is now available as a PDF from the Journal of Documentation. (The manuscript of this paper is also available on the Edinburgh Napier repository for those who do not have subscription access to the Journal of Documentation). Continue reading
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
The 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: 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
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