Social data science is a new discipline combining the social sciences and computer science in which the analysis of big data is linked to social scientific theory and analysis.
Fields of study in relation to social data science are numerous. They can be based on both digital data collected from e.g. the social media, register data, customer data or on other types of digital traces that people are leaving, for instance by their personal use of the internet, their use of smart phones and of other digital services. These enormous sets of data can also be combined with qualitative data collected through anthropological field work etc.
Social data science gives researchers and students not only the opportunity to analyse large volumes of data, but it also enables them to connect big data to human behaviour, networking and the exchange of opinions and other significant patterns in modern everyday life.
Expertise in social data science is now becoming in high demand in companies and organisations seeking to get a better understanding of customer or user behaviours or in companies developing psychological diagnosis or screening tools, sociological analyses of voter behaviour and trends etc.