Research findings, articles, blogposts & more
It’s been a long time since we’ve blogged about our Seeing Data research, as we have been busy analysing, blogging, writing and talking about our findings. We have one journal article out and several more submitted or accepted. We’ve blogged, podcasted and webinared about some of the things emerging from our research, as listed below, and we also have a book chapter accepted. Andy’s book, Data Visualisation: a handbook for data driven design, is out in May 2016, which is influenced by our research, although it doesn’t report it directly. We will start to add more detail about our findings to this website in coming weeks. And there will be more soon!
ARTICLES IN ACADEMIC JOURNALS
- Allen, W. (accepted, 2017) ‘Making corpus data visible: lessons for visualizing corpora and corpus analysis’, Corpora
- Hill, R., Kennedy, H. and Gerarrd, Y. (submitted) ‘Visualising junk: big data visualisations and the need for feminist data studies’, Journal of Communication Inquiry
- Kennedy, H., Hill, R., Aiello, G. and Allen, W. (2016) ‘The work that visualisation conventions do’, Information, Communication and Society, available here
- Kennedy, H., Hill, R., Allen, W. and Kirk, A. (submitted) ‘(Big) data visualisations and their users: how socio-cultural factors challenge existing definitions of effectiveness’, First Monday
- Kennedy, H. and Hill, R. (under revision) ‘Seeing Data, Feeling Numbers: emotions in everyday engagements with data and their visualisation’, Sociology
- Kennedy, H. and Hill, R (accepted with minor revisions) ‘The pleasure and pain of visualising data in times of data power’, Television and New Media
BOOKS AND BOOK CHAPTERS
- Kennedy, H. and Allen, W. (accepted) ‘Data visualisation as an emerging tool for online research’, in N.G. Fielding, R.M. Lee and G. Blank (eds) The Sage Handbook of Online Research Methods, 2nd edition, London: Sage.
- Kirk, A. (2016) Data Visualisation: a handbook for data driven design, London: Sage (this is a ‘how-to’ guide targeted at social scientists, which is informed by our research, but which does not report it directly).
BLOGPOSTS
- Allen, W. (March 3rd 2015) ‘why should social scientists in migration studies care about big data?’, COMPAS (Centre for Migration, Policy and Society) Blog, accessed here
- Allen, W. (March 8th 2016) ‘How migration visualisations persuade us that they are correct’, COMPAS (Centre for Migration, Policy and Society) Blog, accessed here
- Kennedy, H. (July 22nd 2015) ‘Seeing Data: visualisation design should consider how we respond to statistics emotionally as well as rationally’, LSE Impact Blog, accessed here
- Kennedy, H. (July 14th 2015) ‘How people respond to data visualisations and why it matters’, CILIP (Chartred Institute of Library and Information Professionals’ Blog, accessed here
- Kennedy, H. (Oct 12th 2015) Views from Seeing Data Research 1: what we found and what this means for how we think about ‘effective’ visualisations, Visualising Data Blog, accessed here
- Kirk, A. (Dec 16th 2015) Views from Seeing Data Research 2: talking mats as a visual method for assessing and discussing data visualisations, Visualising Data Blog, accessed here
- Kirk, A. (Feb 12th 2016) Views from Seeing Data Research 2: what are the implications of this study for visualisation practitioners?, Visualising Data Blog, accessed here
PODCASTS, WEBINARS & OTHER PUBLICATIONS
- Kennedy, H. and Kirk, A. (February 2016) ‘Same data, different experience’, Significance, Royal Statistical Society (RSS) Magazine, profiled here
- Kennedy, H., Kirk, A., Boy, J., Bertini, E. and Stefaner, M. (March 9th 2016) ‘Data Visualisation Literacy’, Data Stories podcast, episode 69
- Kirk, A. (2015) ‘Talking Data Visualisation Research’, PolicyViz Podcast, episode 29
- Kennedy, H., Hill, R., Allen, W. and Kirk, A. (June 2015) ‘Seeing Data, Feeling Numbers: responding emotionally to data visualisations’, article in AHRC Digital Transformations Project Booklet
- Kirk, A. (2015) ‘Data Visualisation Literacy: Learning To See’, webinar hosted by Tableau, (slides)
- Seeing Data website, especially ‘Understanding Data Visualisations’, an introductory guide to visualisation literacy