E-waste is recognised as a serious problem for its environmental and societal impact. And while work on the recycling activities of e-waste in geography and related disciplines has focused on these impacts, few studies have paid attention to e-waste reuse activities and the potential for value creation.
The Centre for Competitive Creative Design at Cranfield University in partnership with OrangeLV ltd have come together to offer an exciting PhD research post focusing on the development of a novel proof of concept Augmented Reality (AR)/ Virtual Reality (VR) solution.
Aims and objectives. The project will use deep learning (DL) techniques to discover combinations of phenotypic and genotypic features working as predictive risk scores for high-incidence conditions (e.g.
The Arctic Ocean is undergoing rapid environmental change. The Arctic is warming twice as fast as the global average. The areal extent of sea ice has declined by 9% per decade since 1978 (Comiso 2012).
In crisis management (e.g. from fire and rescue to accidents management), operators tend to rely on a number of different types of data and artefacts to deliver sensemaking of crises and prompt decision-making for recovery.