Un­der­stand­ing and Reg­u­lat­ing Data-Driv­en Busi­ness Mod­els (P)

Course content

The aim of this course is to understand personal, social and societal implications of data-driven business models and explore legal, behavioural and technological solutions to mitigate adverse consequences. Thus, this course lies in the intersection between law, technology, psychology, society and ethics.

In the synopsis, the students must identify a particular societal challenge relating to data-driven business models and suggest concrete solutions affecting the legal, behavioural and/or technological architecture.

From a legal perspective the course focuses on pursuing the aims of fundamental rights, including the right to privacy and information, through market law (unfair competition law and antitrust law). This entails comparing the underlying aims of the legislation with potential harms from the application of data-driven business models. There will also be focus on platforms and liability.

We focus on behaviourally informed regulatory solutions that may be achieved through either interpretation of existing law or by the introduction of new legislation or other measures that support the transparency, empowerment and liability that is necessary to protect democracy, competition (small and medium-sized businesses) and citizens/consumers.