Details of Grant 

EPSRC Reference:	EP/Z534602/1
Title:	SCALA: Spatial Communication and Ageing across Languages
Principal Investigator:	Cangelosi, Professor A
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Department:	Computer Science
Organisation:	University of Manchester, The
Scheme:	Other JeS Guarantee Calls TFS
Starts:	01 December 2024	Ends:	30 November 2028	Value (£):	267,922
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Summary on Grant Application Form
Spatial communication is fundamental to our species. Spatial terms, including spatial adpositions and demonstratives, are among the most frequent terms in languages and form the key connection between language and objects/locations in the world. Yet little is known regarding how spatial communication changes as one ages in later life and across different spatial scales and media. The focus of SCALA is to understand fundamentally how spatial communication changes in typical and atypical ageing across spatial scales, and how technology may be harnessed to afford enhanced understanding of spatial communication and support for spatial communication when needed in the context of an increasingly ageing European population. This DN will train the next generation of scientists in the full range of multidisciplinary and cross-sectorial methods necessary to make significant progress in understanding human-human and human-technology spatial communication across time and scales, with direct synergies between basic research and application. Training is structured around two interdisciplinary research themes - Spatial Communication in Typical and Atypical ageing, and Spatial Communication, Technology and Ageing - both involving systematic co-supervision and collaboration across sites, with extensive interplay between academic and non-academic beneficiaries and associated partners. In turn we expect that a range of applications will be enhanced with increased usability, and with associated societal and economic benefit. The training of the cohort of Doctoral Candidate Fellows follows innovative PhD training approaches and will provide comprehensive interdisciplinary training, embracing leading peer assisted learning methods that have been successively employed in previous DNs. This will produce a cohort of unique and highly skilled researchers ideally equipped to add significant value to both the public and private sectors.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Organisation Website:	http://www.man.ac.uk