#8: Eric Davis – Building Better Data Models

Dr. Eric Davis walks us through what it means for a data model to be trustworthy, what common pitfalls predictive models run into, reproducibility issues, and what can be done. We chat about how subject area experts are expected to be many things: statisticians, computer scientists, and mathematicians, and how that can sometimes lead to mistakes. We also look at the COVID-19 pandemic and how data models affect decision-making.

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Exploring tools and approaches that make us more effective engineers and make our systems safe and reliable. Join us for discussions on recent developments in topics such as best practices in reliability and security, applied formal methods, encryption, and safe and secure hardware.