TY - CHAP
T1 - Preface
AU - Miorandi, Daniele
AU - Maltese, Vincenzo
AU - Rovatsos, Michael
AU - Stewart, James
N1 - eemcs-eprint-25086
PY - 2014/9/17
Y1 - 2014/9/17
N2 - Social collective intelligence is an emerging area at the intersection of collective intelligence and social informatics, where social processes between humans are being leveraged and enhanced, by means of advanced Information and Communication Technologies (ICT), to solve challenging problems using the contributions of human collectives. Rather than being a well-defined area, it presents itself—at least for the time being—as a mix of various methods and technologies, such as social media and social computing, human-based computation, social networks and complex systems theory, crowdsourcing, and many other areas which all somehow aim at developing or understanding collectively intelligent systems by combining advanced ICT with the powers of individual and collective human intelligence. Within this broader area, while novel applications—from mobile social networking services to socially augmented reality systems—are appearing (and disappearing) at an ever-increasing rate, the ability to engineer these systems to concrete design objectives remains, until now, essentially a “black art‿. Although research in the different areas involved has produced many significant contributions, we are still far from a principled approach for designing and operating these kinds of systems.
AB - Social collective intelligence is an emerging area at the intersection of collective intelligence and social informatics, where social processes between humans are being leveraged and enhanced, by means of advanced Information and Communication Technologies (ICT), to solve challenging problems using the contributions of human collectives. Rather than being a well-defined area, it presents itself—at least for the time being—as a mix of various methods and technologies, such as social media and social computing, human-based computation, social networks and complex systems theory, crowdsourcing, and many other areas which all somehow aim at developing or understanding collectively intelligent systems by combining advanced ICT with the powers of individual and collective human intelligence. Within this broader area, while novel applications—from mobile social networking services to socially augmented reality systems—are appearing (and disappearing) at an ever-increasing rate, the ability to engineer these systems to concrete design objectives remains, until now, essentially a “black art‿. Although research in the different areas involved has produced many significant contributions, we are still far from a principled approach for designing and operating these kinds of systems.
KW - EWI-25086
KW - HMI-IE: Information Engineering
KW - Programming Social Collectives
KW - Social Collective Intelligence Systems
KW - Social Computing
KW - Technology-society Co-design
KW - IR-93098
KW - Socio-Technical Systems
KW - Collective Adaptive Systems
KW - Collective Intelligence
KW - Hybrid Social Computational Systems
KW - Human Computer Interfaces
KW - METIS-309586
KW - Social Networks
U2 - 10.1007/978-3-319-08681-1
DO - 10.1007/978-3-319-08681-1
M3 - Chapter
SN - 978-3-319-08680-4
T3 - Springer Series on Computational Social Sciences
SP - v-vi
BT - Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society
A2 - Miorandi, Daniele
A2 - Maltese, Vincenzo
A2 - Rovatsos, Michael
A2 - Nijholt, Antinus
A2 - Stewart, James
PB - Springer
CY - Heidelberg
ER -