ESR4 - to be announced



ESR4: Modelling Private Identity Management Behaviours by Digital Footprints



How a person manages his/her private identities can be heavily influenced by the person’s knowledge scope, personality, body characteristics, and life patterns, which can be traced as digital footprints online. The specific task for this researcher position is to investigate and test this assumption, by quantifying the relations between digital footprints and identity attributes and modelling these by statistical and machine intelligence methods. Particular attention will be paid to the dynamics of human behaviours in identity management under various scenarios. Social communication mechanisms in real life such as social network and social robot are to be utilised to test the models by experiments compliant to the requirements of the General Data Protection Regulation (GDPR).


Main supervisor

Bian Yang



Ruben Vera-Rodriguez