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Institut for Design, Medier og Uddannelsesvidenskab

Special Interest Groups (SIGs)

SIG: Data Privacy and Data Utility
The SIG seeks to develop a methodological framework to establish consensus on privacy thresholds for synthetic data and models that generate synthetic data.
The SIG aims to explore approaches and methodologies that can balance data utility and privacy in fields requiring sensitive data handling such as healthcare. 
 The SIG aims, over time, to formulate a set of recommendations in collaboration with relevant authorities and regulatory bodies. These recommendations will be designed to provide actionable guidelines on privacy standards and the use of synthetic data and associated generative models.

Members
Charlotte Bagger Tranberg, Ph.D., CEO & Founder, Lex Futura
Thor Hvidbak, Healthcare Client Executive, Deloitte Denmark 
, Manager in Data Science, Deloitte, Ph.D. in Machine Learning and B-cell Immunoinformatics
, Professor, Department of Mathematics and Computer Science, ÌǹûÅɶÔ
, Ph.D. student, Department of Mathematics and Computer Science, ÌǹûÅɶÔ
, Professor, Department of Design, Media and Educational Research, CAI-X – Centre for Clinical Artificial Intelligence

Sidst opdateret: 23.10.2024