QCRI’s Social Computing department performs multi-disciplinary research, combining computer science and social sciences to address problems of societal relevance.
Methodologically, our principal sub-areas are: (i) computational social science: studying human behavior at scale, (ii) social analytics: applying machine learning to social data to build models for various applications, and (iii) hybrid collaborative intelligence: supporting the collaboration between humans and machines for information processing tasks.
Thematically, our department is organized by application area: Health, Urban Computing, Crisis Computing and News. The researchers in each focus area work with local stakeholders to generate science and systems that are relevant to the region, while producing global impact. Our efforts in these four areas include:
For more details about our projects, demos, and publications, please visit our department page at sc.qcri.org.