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PopDataViz2017

The Centre on Population Dynamics and the Centre for Social and Cultural Data Science are hosting:

PopDataViz2017

WHAT? Three-day, hands-on, interactive training workshop on data visualization in

  • Training topics: Data visualization basics, making plots, working with grouped data, geoms and models, and drawing maps
  • Lunch lecture: Data visualization and the UN Data revolutionÌý
  • Panel discussion: The Good, the Bad and the Ugly of data visualization for population research
  • Hack-a-thon/Dragon’s DenÌýfeedback session on select data visualizations (Optional)
  • Expert perspectives:ÌýÎÛÎÛ²ÝÝ®ÊÓƵ population research and computer science researchers and professionals from Statistics Canada, ÎÛÎÛ²ÝÝ®ÊÓƵ Media Relations and ÎÛÎÛ²ÝÝ®ÊÓƵ Graphic Design .
  • Multidisciplinary participantsÌýfrom social science and health population research fieldsÌý
  • Multiple networking opportunities

INSTRUCTOR:ÌýOur instructor isÌý, Ph.D., Associate Professor in Sociology at Duke University. Healy received his Ph.D. from Princeton University, where he won the American Sociological Association's Dissertation Award. At Duke, he teaches courses in data visualisation and data management. A highly-rated teacher and an effective presenter, Healy has written extensively on data visualisation and data management for public audiences, and has had his visual work featured by The Washington Post, Vox, The Rachel Maddow Show, Slate, Bloomberg News, the Boston Globe, and other outlets.Ìý

See also his 2014 article in theÌýAnnual Review of Sociology (40(1): 105-128) or his free bookÌý.

WHEN? December 13-15, 2017 (Wed and Thurs 9am-7pm, Friday, 9am to 4pm)

WHERE? Room 210-11,ÌýÌý(3655 promenade Sir William Osler)

WHO SHOULD ATTEND?Ìý Anyone interested in learning how to produce and present effective visualizations from population research, data, or models

REGISTRATION & COST:ÌýFree! butÌýspace is limitedÌý

TRAVEL & ACCOMMODATION: A limited amount of funds are available for students from outside of Montreal to cover travel and accommodation expenses. Please indicate your need upon registration.Ìý

PREREQUISITES:ÌýAn introduction to R course*

*If you have no experience yet with R, the following options are available between now and December 13th

  1. There are three, free on-line options: , and all provide free Introduction to RÌýcourses (approx. 4 hours) (Details will be emailed to you with registration confirmation);
  2. We will provide a free, three-hour Intro to R course taught by Ìýon WEDNESDAY, December 6th, 6-9pm, room 511, , ÎÛÎÛ²ÝÝ®ÊÓƵ UniversityÌý(More details will be emailed to you with registration confirmation).

REQUIREMENTS: Laptop with and already installed. (Note: . Instructions on download and installation will be emailed with registration confirmation.)Ìý Ìý Ìý Ìý Ìý Ìý ÌýÌý

INFORMATION ON DATA VISUALIZATION: Please see our new data visualization resource page HERE

TO REGISTER:Ìý Registration is now closed.Ìý

QUESTIONS?: Email Heidi Hoernig

Co-sponsors:

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