The Data, AI, and Computing (DAC) Initiative advances research that combines foundational AI and computing innovations with interdisciplinary, ethically grounded applications across science, society, and health to to support high-impact research and real-world innovation.

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Center for Computer Assisted Synthesis (C-CAS)

Using quantitative, data-driven approaches to make synthetic chemistry more predictable.

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Data Inference Analytics and Learning (DIAL) Lab

Data science for the common good.

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Labs in Residence

The Labs in Residence within DAC Initiative bring together interdisciplinary teams advancing artificial intelligence, data science, and computing through research that spans trustworthy AI systems, human-centered design, and cutting-edge scientific discovery.

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Research Fellowships

The Data, AI, and Computing Initiative supports several opportunities for graduate and postgraduate research.

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Working Groups

In 2026, the Data, AI, and Computing (DAC) Initiative funded 19 faculty-led, interdisciplinary working groups to identify promising directions for future research, recruitment, team science, and translational impact in data, AI, and computing.