Interdisciplinary Research Projects

Interdisciplinary Research Projects

This searchable database contains details of pump-primed cross-discipline research projects taking place at the University of Aberdeen.

One of the main strands of our Aberdeen 2040 plan is to address urgent and wide-ranging challenges in the interdisciplinary areas of Energy Transition, Social Inclusion and Cultural Diversity, Environment and Biodiversity, Data and Artificial Intelligence, and Health, Nutrition and Wellbeing.

The wide range of projects on display here is a demonstration of some of the early-stage research being funded in these critical areas as well as the University's commitment to addressing the UN's 17 Sustainable Development Goals, a "blueprint to achieve a better and more sustainable future for all."

Projects undertaken in 2021 were funded by the University of Aberdeen's Scottish Funding Council allocation.

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Generation of personalised dietary recommendations for individuals with Type 2 Diabetes Mellitus to better control glucose levels using artificial intelligence and natural language generation

We need to find new ways of developing and communicating dietary recommendations, especially in target groups, like those diagnosed with Type 2 Diabetes Mellitus. This project brings together unique expertise on dietary assessment and personalised nutrition with the goal of creating an app encouraging a healthier diet.

Verifying the Compliance of Argumentation Principles with Human Reasoning

Over the years, the theory of computational argumentation has drawn the attention of scholars in many fields. It is also used in many AI technologies to justify decisions to end-users. But do defined argumentation principles really align with human reasoning, and if so, what are the implications for their trust in AI applications?

Aberdeen Digital Humanities Workshops

Through a series of workshops, this project’s goal is to enhance and build on the opportunities presented by applying computer-based technology in the field of the humanities.

Machine learning for optimal operation of water resources systems: a feasibility study

The management of water resource systems is a complex problem where an increasing number of interests must be balanced in a sustainable manner to meet short and long-term objectives. Could a machine learning approach improve decision-making in this area?

Understanding the rules of self-prioritisation effects in bolstering mood

Healthy people favour information associated with themselves and they prioritise stimuli that generate positive valence. Our aim is to create a model to aid our understanding of how changes in self-prioritisation may play a part in indicating neuropsychological disorders.

Mathematical Model of Hospital Patient Flow: Data Driven Parametrisation and Validation

In this extension of an existing project to create a model for predicting discharge times of patients from hospital, we aim at validating and further improving the model by using NHS Grampian data through the Safe Haven environment.

The Spirit of Fascism in the Arts and the Prospects for Cultural Democracy (Testing a Randomised Jury Model)

This project examines the threat of fascism within rather than against democracy. Using a jury-led commissioning process, we will collect data for a collaborative ethnography, the outcomes of which will be at the centre of a multi-media multi-site exhibition entitled Domination, Courtship and Belonging: The Spirit of Fascism in the Arts.

Website development to enhance public outreach, raise awareness and demonstrate ongoing impact of a novel bycatch avoidance tool (BATmap) co-developed by UoA and the Scottish fishing industry

The success of the BATmap fishing bycatch avoidance app has led to the extension of the tool’s associated website with an ‘Impact and Next Steps’ section.

Assessing DNA preservation and biological sex in Pictish Faunal Remains

This project focuses on interdisciplinary ancient DNA research on faunal remains from Pictish archaeological sites and contexts.

Transcriptomic profiling of viral infections in the brain of a key pollinator

Honeybees are the most valuable pollinators of natural and human ecosystems. However, in addition to other factors, the DWV virus is causing serious problems for honeybee colonies. We use advanced techniques to understand how DWV affects honeybee cognition.
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