Research Projects

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Do higher public and private debt levels benefit the wealthy?

This study will be the first to investigate empirically whether rising levels of UK public and household debt benefit the wealthy and thus widen the gap between the ‘haves’ and ‘have-nots’.

Fish for Export: working in the wild capture seafood industry in Indonesia

This project aimed to produce robust evidence-driven recommendations to help brand-owners, buyers and suppliers based in the EU and US to better understand where and how they can address any labour abuse risks within their supply chains in Indonesia.

DanceMap: Innovation Pathways and Policies to Promote European Dance Heritage at Home and Abroad

DanceMap is a pioneering heritage initiative funded by Horizon Europe, the European Union’s funding programme for research and innovation.

From the Heart: Testing the Efficacy of Heart-Centred Contemplation

The project presents three novelties in meditation research by expanding contemplative science, retaining its original other/God-centred focus, and using techniques which include core elements of heart visualisation.

Partial Discharge Monitoring In Electrical Machines For Electrified Aircraft Propulsion (PD-MoniMAP)

The electrification of aircraft propulsion is the most promising solution to meet the growing demand for air transportation while addressing environmental challenges

Strengthening Academic Writing and Publishing Skills for ECRs in Madagascar: Researching the Environment, Peace and Conflict

This two-year programme builds on existing research networks around peacebuilding, conflict transformation, gender, environment, climate change, and sustainability. It draws on expertise from Madagascar, Europe and the UK.

Next Generation Battery Management System Based On Data Rich Digital Twin (ENERGETIC)

ENERGETIC project aims at developing the next generation BMS for optimizing batteries’ systems utilisation in the first (transport use case) and the second life (stationary use case) in a path towards more reliable, powerful, and safer operations.

PACE-AI: The Pedestrian Collision Forensics Evaluator from Coventry University

Our PACE-AI method is only using vehicle shape and pedestrian anthropometry. It can extract, in seconds, not only the vehicle impact speed (which takes the Police days), but also the pedestrian crossing speed, gait and crossing direction (impossible using Searle).