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, arts are borrowed, discussed and tweaked, 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 visualise 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 is emerging now, how it relates to recent technological advances and how it converses with the cultural, philosophical and methodological context of the disciplines with which 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.
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.
Table of Contents
1. Introduction. Data and the experience of place; the use of data in contemporary spatial and cultural studies Anastasia Karandinou 2. Data Science in the Age of Big Data: Opportunities and Challenges Constantinos Daskalakis 3. Data + Multimer: Mapping human signals for improved spatial design Arlene Ducao 4. Data, Emotion, Space: FELT communication through computational textile texture Felecia Davis 5. Responsive surface design informed by immersive data visualization Matthew Wagner 6. Data and Comfort assessment: examining the suitability of physiological sensors for assessing comfort in an everyday environment Trevor Keeling, Etienne Roesch and Derek Clements-Croome 7. Data and wayfinding at Thamesmead: Applying geolocation and EEG recordings of brain activity for navigation design Bridget Snaith and Sven Mündner 8. Virtual reality and EEG Data: Understanding spatial transitions Dorothea Kalogianni and Richard Coyne 9. Data and GPS systems; Comparing navigation and landmark knowledge between GPS Users and Non-GPS Users Negar Ahmadpoor and Tim Heath 10. Data and Emotions: Mapping of Beirut Central District through physiological emotions Roua Ghosh and Samer El Sayary 11. Data and ‘Social’/ ‘Sexual’ encounters in the city: mappings of potential embodied experiences through geo-locative dating apps Phevos Kallitsis 12. Towards a Computer Aided Epistemology of Architecture Alejandro Mieses Castellanos 13. Data and Politics of Information: Rezoning New York City through Big Data Pablo Lorenzo-Eiroa Index
Anastasia Karandinou is an architect and senior lecturer at the University of East London in the area of Architecture and Design. She has taught at the University of Portsmouth and at the University of Edinburgh and conducted research in the areas of architectural design, urbanism, digital media, interactive design, architecture and neuroscience. She represented Greece in the 11th Venice Biennale of Architecture as the main curator/ architect of the 'Athens by Sound' project, exploring the non-visual aspects of architecture. She recently co-led the ‘Cities in Transition’ project, funded by the British Council Newton grant, examining the political and social role of public space in cities of rapidly changing demographics.