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We live in a time of digital transformation. Technology is altering how we work, learn and access public services. At the same time, shifts taking place in the workforce are changing how people navigate complexities in information technology, human resources and social service delivery.
This especially has been the case during the COVID-19 pandemic. The U.S. government enacted a relief package designed to help people cope with the pandemic and the resulting economic downturn. However, inadequate unemployment insurance programs in several states left many people in need without the help they required.
On the latest episode of the TechTank podcast, host Darrell West speaks with Annelies Goger, a Metropolitan Policy fellow at Brookings, about why unemployment insurance programs performed poorly during COVID and what policymakers can do to address the challenges related to IT infrastructure, government procurement and inadequate data collection. The conversation is based on a new paper by Dr. Goger and Janie McDermott entitled Digital Transformation in Labor and Education Systems.