PGH

In this scenario, learners engage in a series of RDSOs focused on responsible data extraction, validation, and forecasting for the City of Pittsburgh’s revenue strategy. Stepping into the role of a data team supporting the Chief Data Officer, they must evaluate multiple human and AI-assisted methods for extracting financial data from public reports, assessing each for accuracy, bias, transparency, and reliability. Rather than jumping to predictions, learners compare methodologies, identify sources of error, and determine which approaches are trustworthy enough to inform long-term planning. The scenario emphasizes that responsible public-sector analytics depends on careful data handling, methodological accountability, and clear documentation before any modeling or forecasting begins.