Building on the project overview of general requirements for the use of big data solutions, the aim of this new e-SIDES report is to take a step forward and create an inventory of the impact assessment modes and tools of data-driven innovation and privacy-preserving technologies. In order to narrow the scope and increase the depth of assessment, e-SIDES has identified ethical, legal and societal impact assessment tools in three big data contexts: healthcare, transportation and smart cities, and web browsing and third-party tracking. In particular, the report addresses the following research questions:
- How are security and privacy features in big data-driven innovation projects—which we call privacy-preserving technologies—suitable to deal with the ethical, legal and societal values that come under pressure in specific big data application contexts?
- How the ethical, legal and societal implications of such technologies are measured?
About the e-SIDES project
Data-driven innovation is deeply transforming society and the economy. Although there are potentially enormous economic and social benefits, this innovation also brings new challenges for individual and collective privacy, security, as well as democracy and participation. The main objective of the CSA e-SIDES is to complement the research on privacy-preserving big data technologies, by analysing, mapping and clearly identifying the main societal and ethical challenges emerging from the adoption of big data technologies, conforming to the principles of responsible research and innovation; setting up and organizing a sustainable dialogue between industry, research and social actors, as well as networking with the main Research and Innovation Actions and Large Scale Pilots and other framework program projects interested in these issues. It will investigate stakeholders’ concerns, and collect their input, framing these results in a clear conceptual framework showing the potential trade-offs between conflicting needs and providing a basis to validate privacy-preserving technologies. It will prepare and widely disseminate community shared conclusions and recommendations highlighting the best way to ultimately build the confidence of citizens and businesses towards big data and the data economy.