Sara-Jayne Terp ,
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.
Talk: AMITT - Adversarial Misinformation Playbooks
Adversarial Misinformation Influence Tactics and Techniques (AMITT) framework is a common language for describing organized communication attacks.
Misinformation, and more nefariously disinformation, has become a hot button issue as the public and private sector struggle to contain influence operations which threaten to degrade political and social fabrics.
Using well-established information-sharing standards and tooling appropriated from the InfoSec community, we explore the use of the AMITT for the detection and disruption of influence operations. Where response to disinformation has been largely reactive, we discuss left-of-boom operational playbooks and strategies for working with disinformation at scale.