Resources for the people doing the work

GEN's own primer: the UNODC legal definition unpacked, the four categories trafficking is divided into, the misconceptions that persist about who it victimises and where, and why the global estimates are so hard to pin down.

The UN's flagship global report, tracking trafficking patterns, victim demographics and national responses worldwide. The reference point most country-level counter-trafficking policy is argued against.

The joint estimates of forced labour and forced marriage: the baseline figures nearly every anti-trafficking argument, funding case and research paper is built on, with the methodology behind them set out in full.

A 32-page framework for disrupting trafficking as a process rather than reacting to it case by case. Reviews earlier kill chain and trafficking models, then sets out a way of thinking about traffickers' actions that can be tested — laying the groundwork for adversarial decision-making models and real metrics of effectiveness.

Machine learning applied to linking trafficking advertisements — matching them by writing style, and tying them to the Bitcoin transactions that paid for them. One of the clearest demonstrations that adversarial data science works on this problem.