Project Objective
This research leverages the power of Artificial Intelligence (AI) to improve pandemic and epidemic preparedness and response. We are building scalable AI-driven tools that translate diverse data into real-time, actionable insights for public health policy and intervention.
Our work is grounded in responsible AI principles, ensuring ethical data use, privacy protection, and equity across systems. Special attention is paid to AI and data governance, transparency, and the ethical deployment of intelligent systems within health frameworks.
A key feature of this project is the integration of unconventional data sources such as social media signals, online disinformation trends, and mobility patterns alongside traditional epidemiological data, enabling predictive models and early warning systems that are both accurate and community-informed.
We also examine the infrastructure needed to scale AI, including access to computational resources and secure, governed data ecosystems. Initiatives such as the Alliance for Intelligence on Data recognize data as a national asset, advancing security and health resilience.
Ultimately, this project aims to harness AI’s potential to deliver meaningful health outcomes, foster community impact, and build intelligent systems that are adaptive, equitable, and globally relevant.