At AI-HAPP, a transdisciplinary team from computer and data sciences; biological and medical sciences; environmental science and engineering; social and economic sciences; and law, will work synergistically on the grand challenge of socio-technical design of nation-wide digital infrastructure for early and accurate pandemic prediction, prevention, and preparation at personal and population levels.

The goal of this project is to create a prototype of a global privacy-preserving autonomous, inclusive and distributed infrastructure (PAID) using personal clouds.

The goal of this project is to detect new emerging infectious diseases early by incorporating multi-stream data sources from individual to population levels.

Mathematical models provide a quantitative basis for planning appropriate measures to track, predict, contain and mitigate a contagious infection. Near-real time monitoring and response analytics are key to understanding daily disease diffusion characteristics. The goal of this project is to develop modeling platforms, spatial data infrastructure, and smart technologies for mitigation strategies.

When pathogens already start to spread, robust surveillance systems are essential to monitor spreading patterns and emergence of new strains, to notify individuals with close contact with infected people, and to provide necessary data based on which government entities and organizations can create their policies and guidelines. We work on different approaches and collect data at different levels to build a robust and privacy preserving surveillance system.

Drug repositioning, also known as drug repurposing, aiming to identify new indications for existing drugs, is particularly important for emerging diseases such as COVID-19 where no known effective treatments were available initially. Studies of drug repositioning are a necessary step in preparing for emerging diseases caused by pathogens.

In all of our projects, it will be important to ensure and facilitate compliance with privacy and anti-discrimination laws. It is also important to be as inclusive as possible in collecting data and to remain sensitive to the limitations and needs of multiple vulnerable populations. Our legal experts will analyze and apply relevant privacy, anti-discrimination, and emergency preparedness laws and various state public health statutes.