Over 80 participants attended the first webinar organized by BigDataEurope on the 21st September 10h00-11h00 (CET) to introduce the BigDataEurope project, in particular the domain of Smart, Green, and Integrated Transport.
Simon Scerri from Fraunhofer IAIS started off by giving a brief introduction to the BigDataEurope activities and the Societal Challenge of Transport. See his presentation below, or listen to the recording.
Next, Philippe Crist from OECD gave an overview on the conclusions of the International Transport Forum report on Big data and Transport. See his presentation below, or listen to the recording.
Several attendees raised interesting questions to the speakers. Multiple questions were related to the topic of privacy and how the project handles sensitive information as well as privacy concerns in car to car communication. Simon Scerri highlighted that the consortium wants to learn more about the community’s concerns in order to take them into account when providing the big data aggregator platform. However, the project’s objective is not to introduce new standards and best practices for data licensing, but to accommodate existing ones within the architecture.
Regarding data protection in car to car communication, Philippe Crist highlighted how encryption is suited to ensure that data can only be control by those who are authorized to do so. Data sources also came up during the Q&A, in particular, one participant inquired about the data received from sensors that are not GPS or phone related. Philippe stated that these are also highly valuable stating examples such as wiper and engine sensors, road condition or automatic pothole reports which are equally valued for other purposes than traffic information.
Finally a discussion emerged regarding general public education on data privacy. Philippe stated that the issue here is larger than that of the current project and domain, the majority of the public is wary and not very confident in their knowledge and although they are certainly concerned about privacy issues the tendency remains that a great majority still share their data.