@inproceedings{0196ae8732c841d789f13cc50b950174,
title = "Data analytics and human trafficking",
abstract = "Human trafficking is recognized internationally as an extreme form of violence against women, children, and men. Despite the fact that human trafficking is universally understood to be a burgeoning social problem, a paucity of data and insight into this issue exists. Data analytics has immense potential to elucidate trends in complex social data and inform future policy. We undertook a design science-inspired research approach to build datasets on human trafficking. Three prototypes are presented that describe the methodologies of human traffickers, display correlations between calls reporting suspected trafficking activity and various demographic data, and explicate the effectiveness of US anti-trafficking funding projects.",
keywords = "data analytics, human trafficking, sex trafficking",
author = "Kena Fedorschak and Srivatsav Kandala and Desouza, {Kevin C.} and Rashmi Krishnamurthy",
year = "2014",
doi = "10.1007/978-3-319-06701-8_5",
language = "English (US)",
isbn = "9783319067001",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "69--84",
booktitle = "Advancing the Impact of Design Science",
note = "9th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2014 ; Conference date: 22-05-2014 Through 23-05-2014",
}