QuaSSI Colloquium Series - Mitchell Goist (Political Science / QuaSSI)

"Extracting Network Data from Text, with Application to Global Human Trafficking"
When Mar 31, 2017
from 12:15 PM to 01:15 PM
Where B001 Sparks - the 'Databasement'
Contact Name
Contact Phone 814-867-2720
Attendees All interested members of the PSU community are welcome to attend.
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Presentation: "Extracting Network Data from Text, with Application to Global Human Trafficking"

Human trafficking is a global problem which adversely impacts millions of people every year. In this project, we examine the structure of the global human trafficking network using natural language processing and network analysis methodologies. To build the global human trafficking network, we generate data on trafficking relationships between countries by applying named entity recognition to the text of annual human trafficking country reports published by the United States Department of State. We then employ statistical network analysis to understand the most influential countries in the network, the properties of the network, and the impact of political and economic factors on human trafficking routes. Our results can help policymakers to make more informed decisions in their effort to combat human trafficking. 

Mitchell GoistMitch Goist is a PhD candidate in Political Science, a predoctoral fellow in the Quantitative Social Science Initiative, and an Affiliate of the Big Data Social Science IGERT.

This paper is co-authored with Christopher Boylan, a PhD candidate in Political Science, a former predoctoral fellow in the Quantitative Social Science Initiative, and an Affiliate of the Big Data Social Science IGERT.

Further details

A light lunch will be available starting at noon. All interested members of the Penn State community are welcome to attend.

Directions to the Databasement in Sparks can be found here

The QuaSSI Colloquium Series is sponsored by the Quantitative Social Science Initiative (QuaSSI).

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