Challenges and Opportunities of Datafication: Interdisciplinary Perspectives
Information communication technologies (ICTs) and big data have given rise to a fundamental digital transformation across public and private sectors, a process referred to as datafication. This course offers students the advanced theoretical and analytical skills needed to articulate, develop and understand the social implications of these digital transformations, their challenges and opportunities.
To provide conceptual and analytical frameworks that can help students develop, manage and reflect on data-driven strategies in organizations, this course will identify key economic, social, legal and ethical issues at the intersection of technology, business and society.
Because of the complexity of the phenomenon of datafication, the course mobilizes cross-disciplinary insights to facilitate a range of analyses and management positions across private, public and non-profit organizations. Hence, the course brings together different perspectives, research methods, and practices from business studies, sociology, law, communication and data science. What is more, it includes perspectives from key stakeholders including entrepreneurs, policy-makers, journalists, and public intellectuals.
The course will focus on eight interdisciplinary perspectives: Business / Corporate Digital Responsibility; Law, Regulation and Governance; Social Sciences / Organizational Studies; Critical Disability Studies and the Media; Artificial Intelligence and Machine Learning; Sustainability infrastructures and environmental data; Digital discrimination and alternative data literacies; Journalism and ethics.
Students will be taught these key focus areas and understand how they are related to big data in public and private organizations. The course will include real-world cases, which will enable the students to contextualize and situate relevant case-based examples within existing scientific debates concerning data and society.