INFOMSOC - Social Computing: Social Computing can be broadly defined as ‘computational facilitation of social studies and human social dynamics as well as the design and use of ICT technologies that consider social context’. Watt argues that ‘if handled appropriately, data about Internet-based communication and interactivity could revolutionize our understanding of collective human behaviour’. If you like to apply computational approaches to social phenomenon and problems with the aim of bringing a broader perspective to social problems, this course is your first step. This course provides you with knowledge of various methodologies used within the sphere of social computing. Topics typically include data ethics, data sources, social media and social network analysis, text mining, reality mining, surveys, social simulations, urban computing, AI for social good and data visualization. Depending on the project theme, the list of topics and readings may vary from year to year, please check the latest syllabus.