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
DataEthics’ Mozilla Fellow, Francesco Lapenta, 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 his fellowship 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.