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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

Group by: No Grouping | Authors/Creators | Item Type

Jump to: Article | Conference or Workshop Item | Monograph | Thesis | Dataset | Letter

Number of items: 19.

Article

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.

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

Weighting estimation under bipartite incidence graph sampling - Martina Patone and Li-Chun Zhang

Type: Article | 2022

Conference or Workshop Item

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.

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

Monograph

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.

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

Thesis

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

Employing content analysis & crowd-sourcing to revise randomised controlled trials patient information leaflets - Fernando Santos Sanchez

Type: Thesis | 2022 | University of Southampton

Dataset

Dataset to support the Southampton doctoral thesis 'Crafting online identities: Active and reflexive identity work on Spotify'

Type: Dataset | 2022 | University of Southampton

Dataset for University of Southampton Doctoral Thesis: The conceptualisation of social media by young novice users

Type: Dataset | 2022 | University of Southampton

Dataset to support the University of Southampton Doctoral Thesis "Understanding the networked student: how Personal Learning Networks are used for learning"

Type: Dataset | 2022 | University of Southampton

HoneyPot Data for PhD Thesis - A Multi-Level Governance Framework for Increasing Awareness and Reducing Cyber Misuse in Next Generation Cross Border Voice Communication Networks & IoT

Type: Dataset | 2022 | University of Southampton

Stakeholder Interviews Data for PhD Thesis - A Multi-Level Governance Framework for Increasing Awareness and Reducing Cyber Misuse in Next Generation Cross Border Voice Communication Networks & IoT

Type: Dataset | 2022 | University of Southampton

OpenStreetMap Provenance analytics data

Type: Dataset | 2022 | University of Southampton

Dataset to support the Southampton Doctoral Thesis: Employing Content Analysis & Crowd-sourcing to Revise Randomised Controlled Trials Patient Information Leaﬂets

Type: Dataset | 2022 | University of Southampton

Dataset and Model Library in support of the Southampton doctoral thesis: 'Designing a better internet of things, privacy and compliance by design as SysML domain extension for consumer smart electronics'

Type: Dataset | 2022 | University of Southampton

Letter

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

This list was generated on Tue Nov 18 02:31:48 2025 GMT.

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