Misinformation Security

Una-May O’Reilly

 

Have you noticed COVID-19 narratives floating around social media that seem to fly in the face of logic? They offer snake-oil like treatments, political rather than science-based motivations behind mitigations, or conspiratorial virus origins.  Unfortunately, these are not always unintended. In fact, deliberate adversarial motives may be responsible. This motivates the problem COVID-19 misinformation security. That is, the tracking of these narratives plus their counter-narratives and capturing their techniques and tactics in public databases using open-source, community-developed frameworks to then exploit data science and machine learning to study how to best circumvent them.  This effort would complement and team other community and professional efforts around the country. This project will suit you if you would like to contribute something to help blunt the impact of the COVID-19 pandemic while honing and learning algorithms and approaches from Computer Science, Machine Learning and Artificial Intelligence.

Contact alfa-apply@csail.mit.edu to apply.
In the body of your email please include:  project of interest by name, relevant courses and grades, relevant experience, expected year of graduation. Attach your resume/CV

Pre-requisites:
Must: 6.0002, 6.009 unless you are not a CS major.
Would be nice: 6.036 Introduction to Machine Learning, previous work in cyber security, data science

Project PI: Una-May O’Reilly
Contact email: Alfa-apply@csail.mit.edu

Research areas:
Security & Cryptography
Computing & Health

Interested? Apply Now!