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This project will bring together freelance dance artists, representative agencies, policy makers, organisations and academics with a view to inform and influence public opinion, policy and practice.
Coventry University lead on 'GAP-E: transdisciplinary approaches to researching key industry gaps in AI and Ethics.'
Growing Connections investigates the potential of alternative, more agroecological approaches to tree production in which many small community nurseries produce a diverse range of locally sourced, locally adapted trees.
C-DaRE Project Page
With an increasingly ageing population, neurological disorders (ND), including Alzheimer's and Parkinson's disease (AD and PD), are becoming the second leading cause of death and the world's largest cause of disability-adjusted life years. Currently, incurable ND have a devastating impact on individuals, families and a heavy economic burden on societies.
The primary aim of this project is to develop and evaluate a multistatic (multiple RADAR sensor nodes) RADAR sensing system to monitor the ADL [Activities of Daily Living] including but not limited to walking, sitting down, standing up, eating, lying on bed and picking up objects in multiple older adults simultaneously using machine learning algorithms. Specifically, the aim is to capture critical events such as falls and wandering behaviour.
Dramatic changes to communication modes, working practices and teaching methods had to be quickly implemented to make work and study remotely accessible at the start of the Covid-19 lockdown.
This project investigates how technological tools, such as social media, may support or constrain people with disabilities in the development of their political interests and careers.
This project collects oral histories of Black Social Workers in Britain to uncover the history of racialised identities and inequalities in the children’s care system in Britain.
Sensors and their data are key enablers of the digital transformation that is reimaging the way people connect with their surroundings, their community, and society at large.
This project aims to address this gap in scholarly knowledge through new data and outputs that will, for the first time, reveal the maritime dimension of Brexit narratives, why this mattered, and how it continues to create impasses in UK-ROI-EU relations
Coventry University are a project partner to phase 1 work which provides resource and support capacity across stakeholders to undertake partnership development and landscape evidence analysis required to design the phase 2 work programme.
The ATTER project develops an interdisciplinary and multi-sectoral exchange program for scaling up agroecological transitions for territorial food systems.
The production of field vegetables and salad crops is highly dependent on transplanted seedlings that are grown in media often containing peat.
ABI can cause a range of problems across multiple areas of health and wellbeing - including relationship and intimacy issues.
This research will work with Black, Asian and mixed-heritage children and young people to generate child-led narratives of their identity, focussing on understandings of ethnicity and religion and how these intersect with being in adoptive or foster care.
SD-APT brings together diverse organisations with established experience in innovation within the delivery of skills and training and expertise in PEMD to create delivery programs designed to meet the PEMD skills gap challenge at scale.
The potential of South-South migration contributing to development and delivery of the SDGs is widely acknowledged but remains unrealised, largely due to existing inequalities at the global, national and local levels which determine who is (and is not) able to migrate.
This Fellowship aims to explore innovative business models and learning approaches that will increase sustainable agro-biodiversity management and reconnect food chain players and civil society with agro-biodiversity values.
Understand the processes that influence the success or failure of ecological restoration effort and make robust predictions at regional scales.