Schedule: Privacy, Law & Ethics sessions

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Location: 116
Aurélie Pols (Mind Your Group)
Borrowing from Spanish information security best practices and in the light of increasing data breach regulations, the presentation examines how data flows should ideally be defined and secured in order to assure accountability through an entire data lifecycle. Read more.
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Location: 116
Yves-Alexandre de Montjoye (Imperial College London // MIT Media Lab)
Average rating: ****.
(4.91, 11 ratings)
We're living in an age of big data, a time when most of our movements and actions are collected and stored in real time. These data offer unprecedented insights on how we behave as a species. Mathematical analysis of location data however reveals how unique our individual behavior is and how this behavior puts fundamental constraints on our privacy. Read more.
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Location: 116
Jeremy Heffner (Azavea)
Average rating: ****.
(4.50, 8 ratings)
We often face the need to analyze the count of discrete events which occur at a specific time and place whether they be crime events, taxi requests, or phone calls. Forecasting these space-time events brings particular challenges: finding suitable tools for geographic processing and techniques for modeling the data. The session will cover the lessons learned in building such a system. Read more.
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Location: 116
Joshua Koran (Turn)
Average rating: ***..
(3.67, 3 ratings)
Before Edward Snowden disclosed the US intelligence services’ digital surveillance, marketers had been collecting, aggregating and inferring behavioral profiles on consumers around the world. This talk describes the chief technologies firms use to transform online activities into target audience segments, as well as the current and proposed regulations and public policies being considered. Read more.
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Location: 116
Joerg Blumtritt (Datarella)
Average rating: ***..
(3.83, 6 ratings)
Smartphones carry mighty sensors: GPS, wifi, acceleration, gyroscope, microphone, magnetic field, etc., tracking behavior and environment, giving answer to complex questions like "is the user driving in a car or riding on a train?" We will show cases from travel industry, sports retail, and health. We will propose, how to use such intrusive technology in an ethically correct way. Read more.
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Location: 116
Anne-Lise Bouyer (Journalism++)
Average rating: ****.
(4.00, 2 ratings)
Breaking news from data that's already published, that's efficient Open Source Intelligence applied to journalism. The tools and methodologies available today make it possible to go big on a budget. Read more.