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AI-READI

Teaming

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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Overview of the Teaming Module

The Teaming module is working across AI-READI modules to develop an effective multi-team system, capable of achieving individual module, AI-READI, and Bridge2AI goals to create and share a flagship, ethically sourced, dataset for Type 2 diabetes.

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. We also support AI-READI's committee charged with achieving our Plan for Enhancing Diverse Perspectives.

Resources

  • Multi-team system baseline questionnaire

    You are invited to participate in a questionnaire about how individuals, teams, and systems of teams collaborate and coordinate to create an ethically sourced dataset for use with artificial intelligence.

Module Members

Meet the people behind the scenes who make it all happen.