RDS@Pitt Advisory Board includes:

The Hub for AI and Data Science Leadership (HAIL) at the University of Pittsburgh, made possible through support from the RK Mellon Foundation, advances regional capacity for data-driven innovation that is transparent, accountable, and equitable.

Through this grant, Pitt developed a suite of tools—for faculty, students, and our advisory network—that bridges academia and industry to ensure responsible data science is practical.

We aim to develop materials that empower learners to make responsible decisions when conducting data science work and collaborating with AI systems. To support this goal, we created two complementary products—C+DS modules for faculty and Responsible Data Science Opportunities (RDSOs) for learners—that embody real-world context to train responsible AI practices.

Our pedagogical structure draws on the POEE framework, which functions not only as an instructional cycle but also as a scaffold for cultivating AI-ready competencies. POEE provokes cognitive conflict by asking learners to articulate an initial prediction, observe data or system behavior, and reconcile discrepancies through evidence-based explanation, and explicitly develop metacognition, reflective judgment, and adaptive expertise. In this project, each POEE stage is mapped to the data science lifecycle and aligned with Bloom’s Taxonomy to generate learning objectives that embody the competencies essential for a modern AI-ready workforce.