DataEthics wants to provide critical independent research input to policy and business development. To do this we are developing our evidence and research section. The objective of DataEthics Research/Academic (DataEthics RA) is to conduct and publish interdisciplinary constructive research with a trans-technical and sectoral focus on data technology and practices. This includes identifying, engaging and collaborating with key academic and research actors in the field. Our research and evidence will constitute a comprehensive framework that can be adapted and implemented and shared as a model for other organizations working with data ethics.
Current Research Collaborations
The Mozilla Fellow, Francesco Lapenta based at John Cabot University in Rome/Italy, is a scholar whose work focuses on emerging technologies, innovation, technologies’ governance and standardization processes, impact assessment, and future scenario analysis. In early 2021 he will publish a report on global standards for AI.
We are collaborating with the Nordic Privacy Center to develop a shared Nordic evidenced-based approach to European data and AI strategies. The collaboration will in particular focus on a human-centric approach to the automatisation of the Welfare State independent from state and industry interests.
What is ‘data ethics’?
There are a range of theories, practices and methods within applied ethics, legal studies and cultural studies, social and political sciences, as well as a movement within policy, civil society organisations and even the industry that are, and have been for a long time, shaping what we today refer to as “data ethics”. See more here.