the privacy engineering collaboration
space NIST launched earlier this year
it's a place where practitioners can
share and discuss open source solutions
for privacy engineering and risk
management
so our two initial focus areas are D
identification and privacy risk
assessments in they did on vacation
space under this broad umbrella we've
received a variety of great submissions
from both educational institutions
private sector really across the board
sector wise and so a lot of these
submissions have been focused on
differential privacy at its most basic
level differential privacy is about
managing privacy risks by introducing
noise into datasets and so we really
hope that more folks will you know begin
to engage with the collaboration space
to try out this these techniques and
provide feedback and also offer abuse
cases so that you know other people can
introduce tools that might help them
resolve problems they're currently
having so we encourage people to sign on
and try it out