First full-length consideration of the role played by young singers, bringing out its full significance and its development over time. Young singers played a central role in a variety of religious institutional settings: urban cathedrals, collegiate churches, monasteries, guilds, and confraternities. The training of singers for performance in religious services was so crucial as to shape the very structures of ecclesiastical institutions, which developed to meet the need for educating their youngest members; while the development of musical repertories and styles directly reflected the ubiquitous participation of children's voices in both chant and polyphony. Once choristers' voices had broken, they often pursued more advanced studies either through an apprenticeship system or at university, frequently with the help of the institutions to which they belonged. This volume provides the first wide-ranging book-length treatment of the subject, and will be of interest to music historians - indeed, all historians - who wish to understand the role of the young in sacred musical culture before 1700. SUSAN BOYNTON is Associate Professor of Historical Musicology at Columbia University; ERIC RICE is Assistant Professor of Music at the University of Connecticut at Storrs. CONTRIBUTORS: SUSAN BOYNTON, SANDRINE DUMONT, JOSEPH DYER, JANE FLYNN, ANDREW KIRKMAN, NOEL O'REGAN, ALEJANDRO PLANCHART, RICHARD RASTALL, COLLEEN REARDON, ERIC RICE, JUAN RUIZ JIMENEZ, ANNE BAGNALL YARDLEY

This book marries social work and artificial intelligence to provide an introductory guide for using AI for social good. Following an introductory chapter laying out approaches and ethical principles of using AI for social work interventions, the book describes in detail an intervention to increase the spread of HIV information by using algorithms to determine the key individuals in a social network of homeless youth. Other chapters present interdisciplinary collaborations between AI and social work students, including a chatbot for sexual health information and algorithms to determine who is at higher stress among persons with Type 2 Diabetes. For students, academic researchers, industry leaders, and practitioners, these real-life examples from the USC Center for Artificial Intelligence in Society demonstrate how social work and artificial intelligence can be used in tandem for the greater good.

This book marries social work and artificial intelligence to provide an introductory guide for using AI for social good. Following an introductory chapter laying out approaches and ethical principles of using AI for social work interventions, the book describes in detail an intervention to increase the spread of HIV information by using algorithms to determine the key individuals in a social network of homeless youth. Other chapters present interdisciplinary collaborations between AI and social work students, including a chatbot for sexual health information and algorithms to determine who is at higher stress among persons with Type 2 Diabetes. For students, academic researchers, industry leaders, and practitioners, these real-life examples from the USC Center for Artificial Intelligence in Society demonstrate how social work and artificial intelligence can be used in tandem for the greater good.