See.. I look that .. no.. Now you look like you are quizical .. that face.. I said that on purpose. I situated.. I created a situation to sort THAT effect .. how does that now feel. That was my true aim.. to imbue a certain feeling

This edition examines the implications of recent developments, challenges and disputes that have become important to debates in social theory including new commentaries on key authors. It also explores the extent to which how we situate social theory may need re-examining.

WINNERS OF THE ANNUAL YOUNG ARCHITECTS FORUM COMPETITION PRESENT THEIR WORK

The study of everyday life is fundamental to our understanding of modern society. This agenda-setting book provides a coherent, interdisciplinary way to engage with everyday activities and environments. Arguing for an innovative, ethnographic approach, it uses detailed examples, based in real world and digital research, to bring its theories to life. The book focuses on the sensory, embodied, mobile and mediated elements of practice and place as a route to understanding wider issues. By doing so, it convincingly outlines a robust theoretical and methodological approach to understanding contemporary everyday life and activism. A fresh, timely book, this is an excellent resource for students and researchers of everyday life, activism and sustainability across the social sciences.

The emerging field of Data Science has had a large impact on science and society. This book explores how one distinguishing feature of Data Science – its focus on data collected from social and environmental contexts within which learners often find themselves deeply embedded – suggests serious implications for learning and education. Drawing from theories of learning and identity development in the learning sciences, this volume investigates the impacts of these complex relationships on how learners think about, use, and share data, including their understandings of data in light of history, race, geography, and politics. More than just using ‘real world examples’ to motivate students to work with data, this book demonstrates how learners’ relationships to data shape how they approach those data with agency, as part of their social and cultural lives. Together, the contributions offer a vision of how the learning sciences can contribute to a more expansive, socially aware, and transformative Data Science Education. The chapters in this book were originally published as a special issue of the Journal of the Learning Sciences.

This book is an attempt to defend the tradition of universalism in the face of a triple-pronged critique by engaging with the claims of feminism, communitarianism, and postmodernism and by learning from them. It situates reason and the moral self more decisively in contexts of gender and community.