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Speaking Data and Telling Stories: Data Verbalization for Researchers

Autor Martin Glynn
en Limba Engleză Paperback – 18 apr 2019
Speaking Data and Telling Stories examines the interdependent relationship between method (Data Verbalization) and practice (performance). Data Verbalization is about communicating and disseminating research data using performance approaches and techniques such as; spoken word, jazz, hip-hop, and reggae theatrics.
Martin Glynn calls for the development of performance-driven research dissemination that seeks to bring urgent attention to minority, excluded, and marginalized perspectives within research dissemination as a whole. Employing the data verbalization method creates an exciting new proposition that can give progressive researchers a unique and distinct voice, alongside generating significant reach and impact beyond the academy, conference, and peer reviewed journal.
The book will be an invaluable resource for researchers, scholars, and related practitioners who want to strengthen their ability to communicate and disseminate research data using live performance / spoken word approaches and techniques. It will also provide guidance for students and researchers wanting to generate wider environmental, social, and cultural impact using research data creatively.
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Specificații

ISBN-13: 9781138486843
ISBN-10: 1138486841
Pagini: 178
Dimensiuni: 156 x 234 x 10 mm
Greutate: 0.27 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom

Public țintă

Postgraduate, Professional, and Undergraduate

Cuprins

Dedication
To Myself
Acknowledgments:
Data Verbalization: Speaking Data and Telling Stories
Who Is This Book For?
Breakthrough
Ethnodrama
New Journey
Organisation of The Book
Prologue. To Be or Not to Be Data Verbalization?
Chapter One. Hearing Sub-Text: The Need for A New Vision
Chapter Two. Performing Research as Praxis
Chapter Three. Data Verbalization and Bricolage
Chapter Four. Creating and Producing Data Verbalization:
Chapter Five. Data Verbalization, Reach, And Impact
Chapter Six. Data Verbalization and The Presentation of Self
Chapter Seven. Data Verbalization and Blended Learning
Chapter Eight. Data Verbalization & Social Media
Epilogue – Future Directions – The Data Verbalization Manifesto

Notă biografică

Martin Glynn PhD is an internationally renowned criminologist, critical race scholar, theatre director, and dramatist. His research focuses on race and crime, black masculinities, and performance driven research dissemination.

Recenzii

In our time of metrics, league tables and depersonalised measurements, Martin Glynn’s book is a welcome relief. A powerful account of a more creative, impassioned method for producing and disseminating research. Recommended for all who believe in the role of art in the academy - and know that research is diminished without its presence.
James Thompson, Professor of Applied Theatre, University of Manchester
Martin Glynn offers readers the theoretical and practical foundations of data verbalization through intimate revelations of his personal journey. Through the power of storytelling, in both traditional and contemporary genres, Glynn provides examples and guidance for the development of innovative counter-narratives. This is a rich handbook on the potential of performative art forms as acts of resistance, social justice, and personal healing.
Johnny Saldaña is Professor Emeritus from Arizona State University’s School of Film, Dance, and Theatre in the Herberger Institute for Design and the Arts
Martin Glynn has done it again. In this engaging text, the legendary performer and academic researcher draws on his unique experiences as a pioneer of data verbalisation strategies to help researchers to think more creatively research dissemination. If every academic were to learn from this book, we would reach much wider audiences and our world would be much less dull and dreary.
Shadd Maruna, Professor of Criminology, Queen’s University Belfast

Descriere

This book will examine the interdependent relationship between method (Data Verbalization), theory (critical inquiry), and practice (performance).