AA Files is the Architectural Association's journal of record and offers a platform for exchange connecting the research produced by the AA community to a larger architectural debate globally. Organised in a series of thematic sections that emerged from the AA Files Issue 76 Glossary, each 'file' contains two or more contributions that explore a common keyword constructing a dialogue between a heterogeneous set of authors with the aim to reframe architecture as a critical point of entry through which the most urgent social and environmental questions of today can be addressed. In Issue 77, the themes are Body, Care, Economy, Environment, Labour, Project and Resistance. A special feature 'file' on Home gathers ten perspectives on domestic living during lockdown from Mexico City to Teheran, while ARÓ (Allies Against Discrimination and Disparity) writes on four keywords that have been added to our AA Files Glossary: Afrofuturism, Exile, Third Space and Transience. With contributions by ARÓ, Panos Dragonas and Lydia Kallipoliti, Cooking Sections, Andrea Bagnato, Geoff Manaugh and Nicola Twilley, Leonard Ma, Brittany Utting and Daniel Jacobs, James Westcott and Federico Martelli, Ludovico Centis and Ed Ruscha, Georgios Eftaxiopoulos, Elena Palacios Carral, Neeraj Bhatia, Pietro Bonomi and Nicoló Ornaghi, Christophe van Gerrewey, Hugh Strange, Alejandra Celedón Forster, Hamed Khosravi, Ethel Baraona Pohl, Alessandro Bava, Fernanda Canales, Brendon Carlin, Mariabruna Fabrizi and Fosco Lucarelli, Dan Handel, Harriet Harriss, Peer Illner, Kaveh Rashidzadeh, Charles Rice, Francesca Romana Dell'Aglio, Gabrielle Eglen, Jeremy Lecomte, Oli Surel and Max Turnheim.

This title features essays by Lilly Dubowitz on Stefan Sebok, the art historian Karin Gimmi on Max Frisch, the architectural historian Irene Sunwoo on AATV, the oral historian Linda Sandino on the oral archive, the design historian Eric Kindel on stencils and a conversation between John Morgan and Sally Potter about her father."

A 75th anniversary e-book version of the most important and practical self-help book ever written, Alcoholics Anonymous. Here is a special deluxe edition of a book that has changed millions of lives and launched the modern recovery movement: Alcoholics Anonymous. This edition not only reproduces the original 1939 text of Alcoholics Anonymous, but as a special bonus features the complete 1941 Saturday Evening Post article “Alcoholics Anonymous” by journalist Jack Alexander, which, at the time, did as much as the book itself to introduce millions of seekers to AA’s program. Alcoholics Anonymous has touched and transformed myriad lives, and finally appears in a volume that honors its posterity and impact.

AA Files 76 is structured as a glossary of terms relevant to contemporary debate in architecture. Each entry has been contributed by a different author, and represents a personal position as much as an attempt to frame the topic in a broader context; the issue therefore maps both a landscape of current concerns, interests, and ambitions, and also an overview of diverse positions and forms of practice. The authors of this glossary are practitioners, academics, students, lawyers, politicians, activists, and their contributions do not only seek to explore the potential of the themes put forward, but also to question the ways in which we can discuss space - as designers, as scholars, as citizens.

AA Files is the Architectural Association's (AA) journal of record. Currently under the editorship of Maria Shéhérazade Giudici, AA Files looks to promote original and engaging writing on architecture. It does this by drawing both on the AA's own academic research, public programme, exhibitions and events, as well as by a rich and eclectic mix of architectural scholarship from all over the world. The forthcoming issue of AA Files examines a range of building typologies and histories from Pyongyang to Lusaka and beyond - its geographic remit is broader than any previous issue. It also features articles looking at some of the wider contexts informing architectural practice, including timelines of ecological rupture, ways of measuring the human body, and the emergence of privatised public space. Contributors include Thandi Loewenson, Calvin Chua, Christina Varvia, Elisa Iturbe, Manijeh Verghese and Madeleine Kessler among others.

APPENDIX: Essays by Oskar Strnad, Heinrich Kulka, and Josef Frank -- NOTES -- BIBLIOGRAPHY -- INDEX -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- Z

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.