The University of Southampton

×

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: 18.

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

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 Jan 21 02:09:56 2025 GMT.

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×