Imagine if you could catch Alzheimer’s disease earlier, starting treatment before outward symptoms began and slowing the disease’s devastating progression. Uniting the areas of data science, engineering, medicine, and more, BU researchers have designed an AI-based computer program that could do just that—using speech pattern analysis to predict the likelihood of the disease in the future. From modeling complex biological systems to advancing intelligent infrastructure, human-AI collaboration, and quantum computing, our researchers are using AI to amply convergent discovery across the University, connecting researchers across disciplines to explore the very limits of AI, data science, and computational innovation.

At the center of this effort is the Rafik B. Hariri Institute for Computing and Computational Science & Engineering, the connective tissue between all our themes. This work is also supported by a network of other University-wide centers and institutes, including the Center for Brain Recovery, Center on Emerging Infectious Diseases, Center for Regenerative Medicine, Center for Systems Neuroscience, Institute for Global Sustainability, Neurophotonics Center, and Photonics Center.

Research Areas

AI for:

Health, Medicine, and Science

Intelligent and Robotic Systems

Education, Learning, and Human Augmentation

Arts, Humanities, and Society

Finance, Business, Law, and Policy

Applying artificial intelligence and data science across health, medicine, science, engineering, education, the arts, humanities, business, law, and public policy to understand complex systems and support data-driven decision-making.

Explore Examples of BU’s Convergent Research in Action

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