For everyone of us, the implications of sharing private information on social media are pretty much clear cut, be it perhaps for the lack of clarity of the user agreements and privacy statements that go with those social media. What many people don’t realize is how much of our data is floating around as we use our devices, ranging from cell phones to cars. And this situation will become more complex rapidly as those devices are becoming more intelligent and interconnected as this narrative clearly demonstrates.
At some point in time they may start deciding what to inform us about as they try to help us reduce sensory overload. And further down the road, they might even share data and decide what is good for us without us knowing, or requiring our consent.
We can all lament over the thought of our data privacy being jeopardized or even being violated. At the same time however, this ubiquitous data also provides a wealth of information that can help us cure diseases faster, optimize infrastructure or build safer cars. So a balance needs to be struck to not throw out the baby with the bath water.
Panel Members (updated as of June 18):
Mark Nelson – Co-Director – Stanford Peace Innovation Lab
David J Kim – Board Member – Lumiata
Greg Niemeyer – Faculty Co-Director UC Berkeley – New Media/Data & Democracy
Adi Kamdar – Activist – Electronic Frontier Foundation
Program (updated as of June 18)
6:00 PM Arrival & Networking Reception – drinks and food provided
6:45 PM Welcome by John van den Heuvel – Netherlands Office for Science & Technology
6:55 PM Panel Introduction by moderator Jurriaan Kamer – CIO at Kajurria
7:00 PM Introductory Remarks by Panel Members
7:30 PM Panel Discussion
8:00 PM Networking
8:30 PM End of Event
This conversation will touch upon data privacy in a rapidly growing connected world of intelligent machines. It is being organized in conjunction with the visit of a Nyenrode Business University Executive MBA Class on Business & IT.
Registration is now open. More details may be added as we get closer to the actual event date.

