Story mapping for planning: understanding the factors for rootedness and place-attachment for an inclusive and sustainable heritage management of cultural landscapes
This talk presents the results of a study that reveals the patterns of hidden values in cultural landscapes and offers an innovative method for the collection, analysis and visualisation of individual “stories”, using remote survey methods combined with Artificial Intelligence to create deep maps of attachment. This dataset, integrated into the traditional heritage datasets and assessment framework, can provide the people-centred background or insider knowledge necessary to facilitate sustainable, inclusive and transparent heritage management practices.
Martina is a PhD researcher at the University of York (UK), Department of Archaeology, focusing on methods for analysis and visualisation of public perception in cultural landscapes. Martina holds degrees in Landscape Archaeology and Prehistory and Classical Archaeology. Martina’s research interests include Contemporary Archaeology; Historic Landscape Characterisation; landscapes of biodiversity and climate change impact; and Artificial Intelligence in heritage management.