University of Arizona

Learning R₀ for AI: Strategies to advance women in health-workplaces

We apply epidemic diffusion models and graph neural networks to map, predict, and accelerate equitable AI skill spread among women in health workplaces.

Women in health workplaces - especially those in rural and frontline roles - are typically last to receive AI training despite being first expected to implement new tools. We combine epidemic diffusion models with graph neural networks to map how AI skills actually spread through workplace collaboration networks. By estimating a "learning R₀," we identify women at risk of exclusion and test interventions before deployment. The result: earlier, equitable AI access and an open-source framework replicable nationwide.

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Primary Barrier
Limited access to AI training
Location
Arizona
Solution Region
Mountain West
Annual Operating Budget
More than $500 Million