MarsCAPE Team

Dr Jessica Wardlaw

Jessica Wardlaw is a Research Fellow based at the Nottingham Geospatial Institute at the University of Nottingham where she is also affiliated to the Human Factors Research Group. Her research interests span Geography (including Web GIS, cartography, spatial cognition and knowledge construction from Big Data) and Human-Computer Interaction (from the applied aspects of user-centred design in practice, to the cognitive aspects of sense- and decision-making and information visualisation). She combines these interests within the field of Citizen Science, where her research explores the future for human-computer and novice-expert collaboration. You can follow her blog and also on twitter: @JessWardlaw.

Dr James Sprinks 

James Sprinks is a Research Associate at the University of Nottingham’s Human Factors Research Group, based within the Nottingham Geospatial Institute. His research considers the use of Citizen Science to identify and map geomorphological features on the surface of Mars. He is researching how citizen science platforms can be designed and implemented to both ensure that the data generated is in a usable format and scientifically robust, while still maintaining a user experience that results in volunteers enjoying and learning from the process. This process encompasses elements of planetary science, remote sensing, Human-Computer Interaction, GIS, ergonomics and human factors research.

Dr Gary Priestnall

Gary Priestnall is an Associate Professor within the School of Geography, the University of Nottingham. His research interests focus on digital geographic representation in a range of contexts, and utilising a range of technologies including virtual and augmented realities, Geographical Information Systems and location-aware mobile devices. Recently he has been exploring the power of physical relief models as tangible displays for Geographic Information. This has included the curation of the public exhibition ‘The Grandest Views’ at Keswick Museum & Art Gallery and the development of design protocols for the Projection Augmented Relief Models (PARM) technique.