Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > Web Science Institute > CDT Web Science Innovation
Web Science Institute > CDT Web Science Innovation" and Year is 2022
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Number of items: 19.
An investigation into facial depth data for audio-visual speech recognition - Stefan Bleeck and Travis James Francis Paul Ralph-Donaldson
Type: Conference or Workshop Item
| 2022
| Item not available on this server.
Type: Dataset
| 2022
| University of Southampton
A data-driven analysis of the interplay between criminological theory and predictive policing algorithms - Age Chapman, Pamela Ugwudike, Philip Grylls, David Gammack and Jacqueline, Anne Ayling
Type: Conference or Workshop Item
| 2022
| Association for Computing Machinery
The conceptualisation of social media by young novice users: implications for the early secondary school curriculum - Ian, Nicholas Coombs
Type: Thesis
| 2022
| University of Southampton
Type: Dataset
| 2022
| University of Southampton
Type: Dataset
| 2022
| University of Southampton
Solid-phase Mn speciation in suspended particles along meltwater-influenced fjords of West Greenland - C.M. van Genuchten, M.J. Hopwood, T. Liu, J. Krause, E.P. Achterberg, M.T. Rosing and L. Meire
Type: Article
| 2022
| Item not available on this server.
A methodology and software architecture to support explainability-by-design - T.D. Huynh, N. Tsakalakis, A. Helal, S. Stalla-Bourdillon and L. Moreau
Type: Monograph
| 2022
| arXiv
| Item not available on this server.
The class conflict rises when you turn up the heat: an interdisciplinary examination of the relationship between climate change and Left-Wing terrorist recruitment - Ashton Kingdon and Briony Jennifer Gray
Type: Article
| 2022
| Item not available on this server.
From episteme to techne: crafting responsible innovation in trustworthy autonomous systems research practice - Pauline Leonard and Chira Tochia
Type: Article
| 2022
Type: Dataset
| 2022
| University of Southampton
Type: Dataset
| 2022
| University of Southampton
Work After Lockdown: No Going Back: What we have learned working from home through the COVID-19 pandemic - Jane Parry, Zoe Young, Stephen Bevan, Michail Veliziotis, Yehuda Baruch, Mina Beigi, Zofia Bajorek, Sarah Richards and Chira Tochia
Type: Monograph
| 2022
| University of Southampton
Type: Article
| 2022
Type: Dataset
| 2022
| University of Southampton
Type: Dataset
| 2022
| University of Southampton
Employing content analysis & crowd-sourcing to revise randomised controlled trials patient information leaflets - Fernando Santos Sanchez
Type: Thesis
| 2022
| University of Southampton
Type: Dataset
| 2022
| University of Southampton
Ethnicity and risks of severe COVID‐19 outcomes associated with glucose‐lowering medications: A cohort study - Francesco Zaccardi, Pui San Tan, Carol Coupland, Baiju R. Shah, Ash Kieran Clift, Defne Saatci, Martina Patone, Simon J. Griffin, Hajira Dambha-Miller, Kamlesh Khunti and Julia Hippisley-Cox
Type: Letter
| 2022