SD Talks Special Series on Data for Sustainable Development: Third Webinar Session on Leveraging (Mobile) Data to Predict and Prevent Crime

After the successful launch of our SD Talks Special Series on Data for Sustainable Development in March 2017, we are pleased to announce the third webinar session of the series. Organised by the UNSSC Knowledge Centre for Sustainable Development in partnership with Data-Pop Alliance, the third webinar session on Leveraging (Mobile) Data to Predict and Prevent Crime will be held on Monday 12 June 2017 at 02:30 PM CEST. The webinar will introduce a novel approach to predict crime in a geographic space from multiple data sources, particularly from mobile phones and demographics. Law enforcement officers can also effectively prevent crimes by using aggregated and anonymised human behavioural data derived from mobile network infrastructure.

The speaker for the webinar session will be Dr. Nuria Oliver, currently the Chief Data Scientist at Data-Pop Alliance and Director of Research in Data Science at Vodafone. Dr. Oliver previously served as Scientific Director of Telefónica for 9 years, and worked as a researcher at Microsoft for 8 years. Dr. Oliver holds a PhD from MIT Media Lab, where her dissertation focused on perceptual intelligence and was conducted under the supervision of Prof. Alex ‘Sandy’ Pentland.

The webinar will be followed by a Q&A session where the speaker will take questions from the audience.

To join the live webinar, please go to http://bit.ly/SDTalksData3 (event number: 955 548 197, event password: Data4SD). Please register for this webinar in advance by going to http://bit.ly/SDTalksData3, clicking on Register and entering your details.

For more information about the webinar series, please contact:

Ugo Caruso, UNSSC Knowledge for Sustainable Development (u.caruso@unssc.org)
Natalie Shoup, Data-Pop Alliance (nshoup@datapopalliance.org)

Julie Ricard, Data-Pop Alliance (jricard@datapopalliance.org)

Visit the SD Talks website at http://sdtalks.unssc.org/ to view the Special Series on Data for Sustainable Development.