Nathan Wiggins
The intersection between AI and data science
AI4RA introduction,
the bridge between data science and artificial intelligence,
Vandalizer workshop,
and evolving decision frameworks.
- Analyze the evolving reach and application of data science and AI
- Explore the Vandalizer's capabilities within a sandbox environment
- Consider evolving frameworks that guide decision-making in research analytics
Nathan Layman
The data lakehouse and data organization
Hands-on data exploration, the Universal Data Model,
and the lakehouse architecture that makes AI tools
work across institutions.
- Experience AI-assisted exploratory data analysis firsthand
- Explain why a shared data model matters more than any AI model
- Describe how the medallion architecture organizes institutional data
Barrie Robison
Accuracy, reproducibility, and provenance
Practical strategies for evaluating AI output,
checking reproducibility, and tracing provenance
before results enter a workflow.
- Evaluate AI output for accuracy before using it
- Check whether results are reproducible across runs
- Track provenance so outputs can be audited and trusted
