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Advancing Team Science

Applying and advancing team science while transforming our AI-READI project from a multidisciplinary endeavor into a high-performing, interdisciplinary collaboration.

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Multidiscplinary Team Science

We are working across the AI-READI project to develop an effective multi-team system, capable of achieving individual, AI-READI, and Bridge2AI goals to create and share a flagship, ethically sourced, dataset for Type 2 diabetes.

To achieve that, we are applying team science by recognizing boundaries and interaction patterns of our multi-team system, and analyzing and intervening on interaction patterns to promote teaming. We are advancing team science by leveraging quantitative and qualitative methods to develop a new understanding of teaming across disciplinary and community interfaces.