ERA is a digital repository of original research produced at The University of Edinburgh. The archive contains documents written by, or affiliated with, academic authors, or units, based at Edinburgh that have sufficient quality to be collected and preserved by the Library, but which are not controlled by commercial publishers. Holdings include full-text digital doctoral theses, masters dissertations, project reports, briefing papers and out-of-print materials.
Information on current research activity including staff, projects and publications is available via the Edinburgh Research Explorer.
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Study of pre-professionalisation processes: the case of corporate social responsibility in the UK
(The University of Edinburgh, 2024-04-26)This thesis examines the complex processes of pre-professionalisation, taking corporate social responsibility (CSR) in the UK as its empirical setting. Drawing on insights from distinguished sociologists and historians, ... -
Potential Economic Impacts from the Scottish Offshore Wind Supply Chain
(Carbon Limiting Technologies, 2024-04)The report provides economic impact estimates of offshore wind developments in Scotland between 2024-2045. Estimated economic impacts include • Gross Value Added (GVA) – direct, indirect and induced • employment - direct, ... -
GB wholesale electricity market reform: impacts and opportunities for Scotland
(ERM, 2024-04)This study explores the impact that locational marginal pricing (LMP), as an approach to wholesale electricity market reform, could have in Scotland. LMP is currently being explored as part of the Review of Electricity ... -
Informing Scotland's fisheries policies to be adapted and resilient to climate change and ocean acidification
(BMT, 2024-04)Understanding the impacts of climate change on target fish stocks is of critical importance to supporting and future-proofing the fishing industry and marine economy. This report discusses the predicted effects of climate ... -
Deep reinforcement learning in multi-agent systems: algorithms and a practical application
(The University of Edinburgh, 2024-04-25)This thesis focuses on Reinforcement Learning (RL) in multi-agent systems. Multiagent systems consist of several agents which in the context of this thesis, concurrently execute actions to optimise their objectives. We ...
