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secappdev.org's video: Addressing Privacy in Cloud Service Development - Seda G rses

@Addressing Privacy in Cloud Service Development - Seda Gürses
Three major shifts have transformed the practice of software engineering over the last two decades. In short, these are the shifts from waterfall to agile development, from shrink-wrap software to services, and from the PC to the cloud. I will refer to this transformation as the 'agile turn’. After going over the different tenets of the agile turn based on interviews with developers in the US, we will take time to discuss the challenges and opportunities it offers to addressing privacy. To conclude, I will present some recent academic research addressing aspects of the agile turn and relate those to the challenges to the requirement of privacy by design in the General Data Protection Regulation (GDPR). Seda Gürses is a Postdoctoral Research Associate at CITP, Princeton University and an FWO fellow at COSIC, University of Leuven in Belgium. She works on privacy and requirements engineering, privacy enhancing technologies and surveillance. Previously she was a post-doctoral fellow at the Media, Culture and Communications Department at NYU Steinhardt and at the Information Law Institute at NYU Law School, where she was also part of the Intel Science and Technology Center on Social Computing. She completed her PhD at the Department of Computer Science at the University of Leuven, where she was also a member of the Privacy and Identity Management Group at COSIC in the Department of Electrical Engineering.

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This video was published on 2017-04-24 12:00:01 GMT by @secappdev.org on Youtube. secappdev.org has total 3.1K subscribers on Youtube and has a total of 76 video.This video has received 1 Likes which are lower than the average likes that secappdev.org gets . @secappdev.org receives an average views of 1.5K per video on Youtube.This video has received 0 comments which are lower than the average comments that secappdev.org gets . Overall the views for this video was lower than the average for the profile.

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