Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Schedule: Smart cities sessions

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9:00am5:00pm Tuesday, September 26, 2017
Location: 1A 06/07
Ben Lorica (O'Reilly Media), Assaf Araki (Intel), Jacob Schreiber (University of Washington), Alex Ratner (Stanford University), Madeleine Udell (Cornell University), Yunsong Guo (Pinterest), Katherine Heller (Duke University), Alan Nichol (Rasa), Gerard de Melo (Rutgers University), Tamara Broderick (MIT), Inbal Tadeski (Anodot), Daniel Kang (Stanford University), Bichen Wu (UC Berkeley), Shaked Shammah (Hebrew University)
A full day of hardcore data science, exploring emerging topics and new areas of study made possible by vast troves of raw data and cutting-edge architectures for analyzing and exploring information. Along the way, leading data science practitioners teach new techniques and technologies to add to your data science toolbox. Read more.
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11:20am12:00pm Thursday, September 28, 2017
Law, ethics, governance
Location: 1E 15/16 Level: Beginner
Daniel Goddemeyer (OFFC NYC), Dominikus Baur (Freelance)
Increasing access to our personal data raises profound moral and ethical questions. Daniel Goddemeyer and Dominikus Baur share the findings from Data Futures, an MFA class in which students observed each other through their own data, and demonstrate the results with a live experiment with the audience that showcases some of the effects when personal data becomes accessible. Read more.