Welcome to the St Andrews Research Repository
This is the official institutional research repository for the University of St Andrews. The repository contains electronic theses and research publications including articles, conference proceedings, working papers and some research monographs. It also contains material and publications affiliated to the University and arising from specific projects. Full text content is provided for all research publications in the repository, and wherever possible (following embargoes) for electronic theses.
The University requires submission of an electronic version of theses. For help with electronic thesis deposit see Library webpages on how to submit your electronic copy or contact Digital-Repository@st-andrews.ac.uk.
The full text of research papers can be submitted to the repository via How to deposit in Pure or contact the Open Access team at openaccess@st-andrews.ac.uk.
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Select a community to browse its collections.
Recently Added
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De Morgan-Płonka sums
(2024-05-21) - Journal articleThis paper develops De Morgan-Płonka sums, which generalise Płonka sums to contexts in which negation is not topically transparent but still respects De Morgan duality. We give a general theory of De Morgan-Płonka sums, ... -
Timing bombs and the temporal dynamics of Iranian nuclear security
(2024-04-29) - Journal articleFor more than two decades, Iran’s nuclear programme has concerned policymakers and scholars alike. Whether speeding up uranium enrichment, slowing down international negotiations, or disrupting the timing of key initiatives, ... -
The eco-philosophical poem : enacting ecological theory through a formal poetics
(2024-12-03) - ThesisThe following thesis investigates why eco-philosophy and eco-poetry should be studied and read concurrently. Specifically, it demonstrates how eco-poetry formally enacts foundational eco-philosophical theories and processes ... -
Automatic evaluation of geopolitical risk
(2024-12-03) - ThesisThis thesis aims to construct programs for automatically evaluating geopolitical risks. This project will use machine learning, specifically sentiment analysis, topic modeling and NER, to build new computer programs to ...