Sara-Jayne “SJ” Terp is a data nerd with a long history of working on the hardest data problems she can find. Her background includes designing unmanned vehicle systems, transport, intelligence and disaster data systems with an emphasis on how humans and autonomous systems work together; developing crowdsourced advocacy tools, managing innovations, teaching data science to Columbia’s international development students, designing probabilistic network algorithms, working as a pyrotechnician, and CTO of the UN’s big data team. Her current interests are focused on misinformation mechanisms and counters; she founded Bodacea Light Industries to focus on this, worked with the Global Disinformation Index to create an independent disinformation rating system, and runs a Credibility Coalition working group on the application of information security principles to misinformation. SJ holds degrees in artificial intelligence and pattern analysis and neural networks.
AMITT - Adversarial Misinformation Playbooks
We describe the use of adversarial misinformation playbooks to detect and counter disinformation, and explore advances in misinfosec tooling appropriated from the infosec community.