Research
Research interests
- Data Governance
- Data Sharing Models
- Data Protection Law
- Provenance
Current research
Currently, Laura works as part of the ‘PRiAM: Privacy Risk Assessment Methodology’ project and the ‘PETRAS Data Sharing Foundation’ project. She is also a member of the research team for the ‘Social Data Foundation for Health and Social Care’ (“the SDF”) — a new data sharing initiative aimed at improving public health and patient care.
Publications
20 publications
Page 1 of 2
Laura Carmichael,
, 2022
, Data & Policy
, 4 (e6)
Type: article
Laura Carmichael,
& Jack Hardinges
, 2021
Type: conference
Laura Carmichael,
Trung Dong Huynh,
Luc Moreau,
& Ayah Helal
, 2021
, Computer Law & Security Review
, 41
Type: article
Laura Carmichael,
& Alexsis Wintour
, 2021
, Data & Policy
, 3 (e4)
DOI: 10.1017/dap.2020.24
Type: article
Laura Carmichael,
Dong Huynh,
Luc Moreau,
& Ayah Helal
, 2021
Type: bookChapter
Laura Carmichael,
, 2020
Type: report
Laura Carmichael,
& Alexsis Wintour
, 2020
Type: conference
Gefion Thuermer,
Johanna Walker,
Laura Carmichael,
& Elena Simperl
, 2020
, Data & Policy
, 1 (1)
Type: article
Laura Carmichael,
Trung Dong Huynh,
Luc Moreau,
& Ayah Helal
, 2020
Type: conference
Gefion Thuermer,
Johanna, Catherine Walker,
& Laura Carmichael
, 2019
Type: conference
Biography
Dr Laura Carmichael is a Research Fellow within the IT Innovation Centre, School of Electronics and Computer Science, University of Southampton. Laura studied undergraduate Law at the University of Southampton — before completing an interdisciplinary MSc and PhD in Web Science. She has been involved in various interdisciplinary research projects related to data sharing and re-usage:
- The ‘Ordnance Survey Data Enrichment project’
- The ‘Operational Trustworthiness Enabling Technologies (OPTET) project’ funded by the European Union’s FP7-ICT programme
- The ‘Observing and Recommending from a Social Web with Biases project’ —a Web Science Institute (WSI) Pump-Priming Project
- The ‘Data Pitch open innovation programme’ funded by the European Union’s Horizon 2020 research and innovation programme
- The ‘Provenance-driven and Legally-grounded Explanations for Automated Decisions (PLEAD) project’ funded by EPSRC