Advancing Methods for Interdisciplinarity in the Social Sciences – serie

mso-bidi-theme-font: minor-latin;">This book provides a practical guide to a novel framework combining three diverse traditions within the field of discourse studies: Poststructuralist Discourse Theory, Critical Discourse Studies and Corpus Linguistics.

This book explores the potential of relational research as a creative and participatory endeavor to produce knowledge. Bringing together insights from social construction, intersectional feminist frameworks, decolonial practices, queer theories, and queer worldmaking, it prompts researchers to reimagine the theoretical underpinnings and methodological choices that shape their work. In doing so, it cultivates a community of practice in which scholars engage the complex terrain of research to advance plural and inclusive forms of knowing.This edited collection offers a global perspective on what knowledge is and how it is created, situating research practices within diverse cultural, disciplinary, and relational contexts through contributions from authors from different corners of the world. It illustrates methods that support navigating pressing global challenges, such as sustainability transitions, the surge of populism, and the enduring legacies of colonialism, racial, gendered, and sexual marginalization. An ideal resource for those interested in applying decolonial, inclusive, and interdisciplinary relational research methods, it offers students and researchers concrete ways to engage with inquiry as a situated and relational practice.

Addressing an important gap in the literature, this book is an extremely concrete and practical A-Z guide about how to design, undertake and communicate the results of a mixed methods approach to critical discourse analysis (MMCDA) in the social sciences. Offering detailed discussions of the processes used, lessons learned, and research outcomes of 3 award-winning MMCDA research projects in political studies and international relations (as well as reflections about the potential considerations around the use of AI in MMCDA research), the goal of this book is to give readers everything they require to undertake successful MMCDA projects on their own topics of research.