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A recent study leveraging text of pandemic-related policymaking from1973--2020 explored whether pandemic policymaking has evolved, or whether weare witnessing a new, unique era of policymaking as it relates to large-scalecrises like COVID-19. This research picks up on this approach over the sameperiod of study and based on the same data, but excluding text. Instead, usinghigh dimensional manifold learning, this study explores the latent structure ofthe pandemic policymaking space based only on bill-level characteristics.Results indicate the COVID-19 era of policymaking maps extremely closely ontoprior periods of related policymaking. This suggests that there is less of an"evolutionary trend" in pandemic policymaking, where instead there is strikinguniformity in Congressional policymaking related to these types of large-scalecrises, despite being in a unique era of hyperpolarization, division, andineffective governance.

Pandemic Policymaking: Learning the Lower Dimensional Manifold of Congressional Responsiveness