Practical Social Democracy develops a novel approach to reformist politics that is centred on the practical challenges parties face in navigating competing priorities across key dimensions of their activities. Containing comparative chapters and case studies of a range of countries and thematic areas by world-leading experts, it demonstrates how this approach can enrich debates about the contemporary challenges of social democracy as well as its historical evolution. The volume sheds light...

Choose the best approach for your app and implement your solution quickly by leveraging complete projects. This book is a collection of practical projects that use advanced Android techniques and approaches, written by Android instructor Mark Wickham. Mark has taught a series of popular classes at Android development conferences since 2013 and Practical Android covers content from his most popular classes. Each chapter covers an important concept and provides you with a deep dive ...

Exploring Cultural Value presents ground breaking new research on the use of the cultural value lens to explain and investigate those areas of society where art and culture can have an impact or add value, beyond economic measures. The book develops and advances existing concepts around cultural value, and thus provides a deeper understanding of the impacts and value of the arts and cultural sectors.Contributions bridge academic disciplines and the current discourse of pol...

In 1950, the Committee on Political Parties of the American Political Science Association (APSA) published its much-anticipated report, Toward a More Responsible Two-Party System. Highly critical of the existing state of affairs, the report became extremely controversial: before publication, scholars attacked the committee’s draft and suggested it should be suppressed. When released it received a barrage of criticisms. Most academics concluded it was an ill-conceived and mistaken ...

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms i...