Monday, 3 February 2020

Can Big Data Help Us Stop Human Trafficking?

Big data has been celebrated for its potential on countless occasions - for its capacity to eliminate food waste, reduce fraud and cyberattacks, disrupt urban planning, and to revolutionise the healthcare industry through machine learning. But today it is being lauded for something even greater - to eliminate the global problem of human trafficking.

Until now, the traditional tactics for identifiying and preventing instances of human trafficking have fallen short of expectations. They have, generally speaking, failed. Failed because those leading the exploitation game are still winning at it, through trapping mostly women and children into domestic servitude by luring them with the prospect of money, education and a ‘better life’.

Sex trafficking and commercial sexual exploitation are part of a growing global phenomenon of modern slavery impacting communities from all corners of the globe, making trafficking one of the most serious human rights abuses of the 21st century. Time and time again, the problem of human trafficking has been called a ‘pandemic’ - a horrific human rights abuse that is not only a crime in itself, but that usually leads to further abuse and crimnes, such as enslavement, sexual violence and physical violence.

UNICEF estimates that globally there are around 21 million ...


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