Rachel Fensham – författare

This book presents a timely and original study of the meaning, uses, and impact of cultural data today. Working across critical and creative strands of inquiry, the book situates cultural data in the context of contemporary social, environmental, and political challenges such as the future of the arts and climate change.

Drawing on fields ranging from sociology and art history through to computer science and digital heritage, Cultural Data expands the possibilities for the study of arts and culture using computational methods at a critical moment for both national and global discussions about the future of digitisation and cultural data. Combining computer-assisted quantitative research with qualitative and theoretical approaches, this book examines historical trends, demographic politics, and data cultures alongside experimental data visualisations that build distinctive narratives for the arts and creative industries. Through using and manipulating the open-source interoperability of arts and cultural data, the book presents new approaches, both theoretical and empirical, for telling stories about individual artistic careers, events, organisations, and networks. It also explores the unspoken, often hidden or obscured, content of cultural data: its murky histories, gaps, inconsistencies, silences and bias.

This book will be of interest to students, scholars, and practitioners in fields including cultural heritage studies, creative and performing arts, archival science, cultural policy, gender studies, art history, and cultural theory. It will also be of interest to the growing community of digital humanities laboratories and centres around the globe that operate at the intersection of humanities research, data science and creative practice.

This book presents a timely and original study of the meaning, uses, and impact of cultural data today. Working across critical and creative strands of inquiry, the book situates cultural data in the context of contemporary social, environmental, and political challenges such as the future of the arts and climate change.

Drawing on fields ranging from sociology and art history through to computer science and digital heritage, Cultural Data expands the possibilities for the study of arts and culture using computational methods at a critical moment for both national and global discussions about the future of digitisation and cultural data. Combining computer-assisted quantitative research with qualitative and theoretical approaches, this book examines historical trends, demographic politics, and data cultures alongside experimental data visualisations that build distinctive narratives for the arts and creative industries. Through using and manipulating the open-source interoperability of arts and cultural data, the book presents new approaches, both theoretical and empirical, for telling stories about individual artistic careers, events, organisations, and networks. It also explores the unspoken, often hidden or obscured, content of cultural data: its murky histories, gaps, inconsistencies, silences and bias.

This book will be of interest to students, scholars, and practitioners in fields including cultural heritage studies, creative and performing arts, archival science, cultural policy, gender studies, art history, and cultural theory. It will also be of interest to the growing community of digital humanities laboratories and centres around the globe that operate at the intersection of humanities research, data science and creative practice.

The landscape of contemporary research is characterized by growing interdisciplinarity, and disciplinary boundaries are blurring faster than ever. Yet while interdisciplinary methods, and methodological innovation in general, are often presented as the ‘holy grail’ of research, there are few examples or discussions of their development and ‘behaviour’ in the field.

This Routledge Handbook of Interdisciplinary Research presents a bold intervention by showcasing a diversity of stimulating approaches. Over 50 experienced researchers illustrate the challenges, but also the rewards of doing and representing interdisciplinary research through their own methodological developments. Featured projects cover a variety of scales and topics, from small art-science collaborations to the ‘big data’ of mass observations.

Each section is dedicated to an aspect of data handling, from collection, classification, validation to communication to research audiences. Most importantly, Interdisciplinary Methods presents a distinctive approach through its focus on knowledge as process, defamiliarising and reworking familiar practices such as experimenting, archiving, observing, prototyping or translating.

The landscape of contemporary research is characterized by growing interdisciplinarity, and disciplinary boundaries are blurring faster than ever. Yet while interdisciplinary methods, and methodological innovation in general, are often presented as the ‘holy grail’ of research, there are few examples or discussions of their development and ‘behaviour’ in the field.

This Routledge Handbook of Interdisciplinary Research presents a bold intervention by showcasing a diversity of stimulating approaches. Over 50 experienced researchers illustrate the challenges, but also the rewards of doing and representing interdisciplinary research through their own methodological developments. Featured projects cover a variety of scales and topics, from small art-science collaborations to the ‘big data’ of mass observations.

Each section is dedicated to an aspect of data handling, from collection, classification, validation to communication to research audiences. Most importantly, Interdisciplinary Methods presents a distinctive approach through its focus on knowledge as process, defamiliarising and reworking familiar practices such as experimenting, archiving, observing, prototyping or translating.