You are here

Workshop on Big Data for Social Policy

By: Canadian Statistical Sciences Institute (CANSSI)

When:  April 13 – 16, 2015

Where: Toronto

Registration: http://www.fields.utoronto.ca/cgi-bin/register?form_selection=bigdata

 

The workshop will be organized around the following key topics, all focused on social problems and policy issues: urban analytics; privacy; official statistics; agent-based modeling and network models. All details are available at: http://www.fields.utoronto.ca/programs/scientific/14-15/bigdata/socialpolicy/index.html

This workshop is part of the Thematic Program on Statistical Inference, Learning, and Models for Big Data organized by the Fields Institute which emphasizes both applied and theoretical aspects of statistical inference, learning and models in big data. The opening conference will serve as an introduction to the program, concentrating on overview lectures and background preparation. Workshops throughout the year will emphasize deep learning, statistical learning, visualization, networks, health and social policy, and physical sciences.

Where: 
Toronto
Date: 
13 April, 2015 to 16 April, 2015