Human trafficking is modern-day slavery. Traffickers use technology to find, transport, and control their victims. So how might we use technology to stop them?
Organizations that try to prevent human trafficking have been gathering data on the movements of traffickers and their victims for years. But it isn't until now that Big Data processing networks have made it possible for all that scattered information to form a cohesive picture. The findings--that traffickers move predictably according to season and region--make it harder for human trafficking to slip under the radar.
By identifying the patterns of human trafficking, we make it much easier to anticipate it, respond to it, and stop it--for good.
How else might Big Data do big things?