Academics across the globe are being urged by universities and research councils to do research that impacts the world beyond academia. Yet to date there has been very little reflection amongst scholars and practitioners in these fields concerning the relationship between the theoretical and engaged practices that emerge through such forms of scholarship. Theoretical Scholarship and Applied Practice investigates the ways in which theoretical research has been incorporated into recent applied practices across the social sciences and humanities. This collection advances our understanding of the ethics, values, opportunities and challenges that emerge in the making of engaged and interdisciplinary scholarship.
Applied Practice: Evidence and Impact in Theatre, Music and Art engages with a diversity of contexts, locations and arts forms – including theatre, music and fine art – and brings together theoretical, political and practice-based perspectives on the question of 'evidence' in relation to participatory arts practice in social contexts. This collection is a unique contribution to the field, focusing on one of the vital concerns for a growing and developing set of arts and research practices. It asks us to consider evidence not only in terms of methodology but also in the light of the ideological, political and pragmatic implications of that methodology. In Part One, Matthew Reason and Nick Rowe reflect on evidence and impact in the participatory arts in relation to recurring conceptual and methodological motifs. These include issues of purpose and obliquity; the relationship between evidence and knowledge; intrinsic and instrumental impacts, and the value of participatory research. Part Two explores the diversity of perspectives, contexts and methodologies in examining what it is possible to know, say and evidence about the often complex and intimate impact of participatory arts. Part Three brings together case studies in which practitioners and practice-based researchers consider the frustrations, opportunities and successes they face in addressing the challenge to produce evidence for the impact of their practice.
Applied Psychology: Putting theory into practice demonstrates how psychology theory is applied in the real world. Uniquely structured as a series of themed 'rooms', it is as novel and engaging as it is essential reading for student mapping a career in psychology.
"Applied Theatre is the first study to assist practitioners and students to develop critical frameworks for planning and implementing their own theatrical projects. This reader-friendly text considers an international range of case studies in applied theatre through discussion questions, practical activities and detailed analysis of specific theatre projects globally."--Provided by the publisher.
Applied Interpretation: Putting Research into Practice offers practitioners, managers, and students of interpretation a source for interpretive theory, techniques, strategies, and experiences that have been shown, through research, to be successful in conveying interpretive messages. This resource is the product of 16 years of research that has evaluated traditional programs, school field trips, and visitor center and campfire programs. The findings, offered through vignettes and case studies, are the product of long-term assessments that range from three months to three years following an interpretive experience.
Applies traditional epideiologic methods for determining disease etiology to the real-life applications of public health and health services research. This text contains a chapter on the development and use of systematic reviews and one on epidemiology and the law.
Think in the Clojure way! Once you're familiar with Clojure, take the next step with extended lessons on the best practices and most critical decisions you'll need to make while developing. Learn how to model your domain with data, transform it with pure functions, manage state, spread your work across cores, and structure apps with components. Discover how to use Clojure in the real world, and unlock the speed and power of this beautiful language on the Java Virtual Machine. Clojure Applied gives you the practical, realistic advice and depth of field that's been missing from your development practice. You want to develop software in the most effective, efficient way possible. This book gives you the answers you've been looking for in friendly, clear language. Dive into the core concepts of Clojure: immutable collections, concurrency, pure functions, and state management. You'll finally get the complete picture you've been looking for, rather than dozens of puzzle pieces you must assemble yourself. First, explore the core concepts of Clojure development: learn how to model your domain with immutable data; choose the ideal collection; and write simple, pure functions for efficient transformation. Next you'll apply those core concepts to build applications: discover how Clojure manages state and identity; spread your work for concurrent programming; and create and assemble components. Finally, see how to manage external integration and deployment concerns by developing a testing strategy, connecting with other data sources, and getting your libraries and applications out the door. Go beyond the toy box and into Clojure's way of thinking. By the end of this book, you'll have the tools and information to put Clojure's strengths to work. What You Need: To follow along with the examples in the book, you will need Clojure 1.6, Leinegen 2, and Java 6 or higher.
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
