Research and theory on intergroup contact have become one of the fastest advancing and most exciting fields in social psychology in recent years. The work is exciting because it combines basic social psychological concerns -- human interaction, situational influences on behavior -- with an effective means of improving intergroup relations at a time when the world is witnessing widespread intergroup hatred and strife. This volume provides an overview of this rapidly progressing area of investigation – its origins and early work, its current status and recent developments, along with criticisms of this work and suggestions for future directions. It covers a range of research findings involving contact between groups drawn from the authors’ extensive meta-analysis of 515 published studies on intergroup contact. This meta-analysis, together with the authors’ renowned research on intergroup contact, provides a solid foundation and broad overview of the field, to which have been added discussions of research extensions and emerging directions. When Groups Meet is a rich, comprehensive overview of classic and contemporary work on intergroup contact, and provides insights into where this work is headed in the future. For research specialists, this volume not only serves as a sourcebook for research and theory on intergroup contact, it also provides the entire 515-item bibliography from the meta-analysis. The clear structure and accessible writing style will also appeal to advanced undergraduate and graduate students in psychology and other social sciences.

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

A comparative study of political attitudes across social classes, examining what accounts for such differences in opinion and determining whether these differences change over time

Twenty-first century governments must keep pace with the expectations of their citizens and deliver on the promise of the digital age. Data-driven approaches are particularly effective for meeting those expectations and rethinking the way governments and citizens interact. This report highlights the important role data can play in creating conditions that improve public services, increase the effectiveness of public spending and inform ethical and privacy considerations. It presents a data-driven public sector framework that can help countries or organisations assess the elements needed for using data to make better-informed decisions across public sectors.

This book constitutes the refereed proceedings of the Third International Conference on Autonomous and Intelligent Systems, AIS 2012, held in Aveiro, Portugal, in June 2012, collocated with the International Conference on Image Analysis and Recognition, IACIAR 2012. The 31 revised full papers were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on autonomous sensors and sensor systems, autonomous systems and intelligent control with applications, intelligent fuzzy systems, intelligent robotics, intelligent knowledge management, swarm and evolutionary methods, and applications