I think the conversation around data is actually a perfect example. Think about a survivor who has experienced trafficking and goes through the terrible process of having to tell their story to two, five or 10 people before accessing the services they need. By the time they're at a point, with a representative from a government or frontline agency, for that data to be collected.... Let's say they haven't experienced trafficking, but they're a consensual sex worker who experienced exploitation. The person they're talking to hears “sex trafficking”, and they check that box and it gets added to the system.
Bias has a very profound effect on how we collect data, which then has a profound effect on where we invest funds into law enforcement and also frontline engagement. Training in data collection within frontline or community-based agencies would be transformative in the ability to provide a nuanced understanding of what an individual is saying happened to them.