The notion of data is increasingly encountered in spatial, creative and cultural studies. Big data and Artificial Intelligence are significantly influencing a number of disciplines. Processes, methods and vocabularies from sciences, architecture and the arts are discussed and new cross-disciplinary fields emerge. More and more, artists and designers are drawing on hard data to interpret the world and to create meaningful, sensuous environments. Architects are using neurophysiological data to improve their understanding of people's experiences in built spaces. Different disciplines collaborate with scientists to visualize data in different and creative ways, revealing new connections, interpretations and readings. This often demonstrates a genuine desire to comprehend human behaviour and experience and to - possibly - inform design processes accordingly. At the same time, this opens up questions as to why this desire and curiosity emerged now, how it relates to recent technological advances, and how it converses with the cultural, philosophical, and methodological context of the disciplines it engages.

Questions are also raised as to how the use of data and data-informed methods may serve, support, promote and/or challenge political agendas. Edited by Anastasia Karandinou, Data, Architecture and the Experience of Place , provides an overview of new approaches on this significant subject and is ideal for students and researchers in digital architecture, architectural theory, design, digital media, sensory studies, and related fields.