October 30, 2017
12:00PM - 1:00PM
Derby Hall 1186
Add to Calendar
2017-10-30 12:00:00
2017-10-30 13:00:00
How Can We Measure Social Segregation Outside of Residential Areas?
Please join CURA for a special brown-bag research presentation given by Rein Ahas, Professor of Human Geography, University of Tartu, Estonia. Ethnic segregation is a crucial issue in many urban areas since it associates with problems in education, employment, poverty, safety, and health care. Traditional analysis of segregation based on where people live may not show a complete picture since people spend their lives in many different places or activities other than home. This presentation will highlight how to use location-tracking data such as cell phone records to measure social segregation on a 24/7 basis.Light refreshments will be available
Derby Hall 1186
OSU ASC Drupal 8
ascwebservices@osu.edu
America/New_York
public
Date Range
Add to Calendar
2017-10-30 12:00:00
2017-10-30 13:00:00
How Can We Measure Social Segregation Outside of Residential Areas?
Please join CURA for a special brown-bag research presentation given by Rein Ahas, Professor of Human Geography, University of Tartu, Estonia. Ethnic segregation is a crucial issue in many urban areas since it associates with problems in education, employment, poverty, safety, and health care. Traditional analysis of segregation based on where people live may not show a complete picture since people spend their lives in many different places or activities other than home. This presentation will highlight how to use location-tracking data such as cell phone records to measure social segregation on a 24/7 basis.Light refreshments will be available
Derby Hall 1186
The STEAM Factory at The Ohio State University
steamfactory@osu.edu
America/New_York
public
Please join CURA for a special brown-bag research presentation given by Rein Ahas, Professor of Human Geography, University of Tartu, Estonia.
Ethnic segregation is a crucial issue in many urban areas since it associates with problems in education, employment, poverty, safety, and health care. Traditional analysis of segregation based on where people live may not show a complete picture since people spend their lives in many different places or activities other than home. This presentation will highlight how to use location-tracking data such as cell phone records to measure social segregation on a 24/7 basis.
Light refreshments will be available