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Sam Meek PDF Print E-mail

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Within the DTC I am a specialist in Geographic Information Science and I have a keen interest in developing new techniques to push the boundaries of student learning through reflection in the field by digital 3D reconstructions.

My research interests are centred around teaching and learning through model building in the field using mobile technology. My work encompasses a multitude of different techniques and disciplines including mobile learning, glacial reconstruction, mobile augmented reality and remote data collection.

My industrial background includes working in frontline sales for a small Geographic Information consultancy and in spatial analytics whilst working for a large, blue-chip organisation in Nottingham. Since starting my PhD, I have completed an internship at Microsoft Research based in Cambridge, UK.

Publications 

Book 

Meek, S., FitzGerald, E., Priestnall, G., Sharples, M. (forthcoming) 'Field Trip Learning'.  In Kinuthia, W. & Marshall, S. (Eds). On the Move: Mobile Learning for Development. Information Age Publishing Inc., Charlotte, NC.

Conference Papers

GISRUK 2011

S. Meek, G Priestnall (2011) Towards a Field Toolkit for in-field construction of 3D surface models. Paper presented at GISRUK Conference 2011, University of Portsmouth.

Exhibitions

Tracing Mobility: Territorial Play
14 – 16.05.2010.
Camera Explora was exhibited as part installation and part live participation activity for Radiator Festival‘s Tracing Mobility programme at the Broadway Media Centre, Nottingham, UK.

Tracing Mobility: Cartography and Migration in Networked Space

November 24th – December 19th, 2011
House of World Cultures, Berlin, Germany

http://www.trampoline.org.uk/tracingmobility/exhibition

Grants Awarded

Priestnall, G. Smith, A. Meek, S. Measuring landmark saliency in the field: An insight into human spatial cognition, funded by the Science, Technology & Society Priority Group 'Research Development' fund

Priestnall, G. and Meek, S. Exploiting the potential of geospatial analysis and Experian data, funded by the Integrating Global Society Priority Group 'Building Research Capacity & Impact' fund

 

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