EVENTS CALENDAR
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Causal Machine Learning for Observational and Experimental Research
August 4 @ 9:00 am - August 8 @ 6:00 pm EDT
An ICPSR Summer Program in Quantitative Methods Topical Workshop
When and how to use Causal Machine Learning in your research, including interpretation and review of results.
Goals:
- Develop an understanding and familiarity with Causal Machine Learning (CML)
- Enables participants to confidently apply CML methods in their own research
- Impart a framework for CML that enables participants to learn new CML methods as they continue to be developed
Learning Outcomes:
- How CML works and why it’s useful for social science research
- How to interpret, review, and understand CML analyses and results
- When and why using a CML method would be appropriate and useful
- How to use CML methods in your research and how to report their results with an eye towards publication
New this year: an early payment discount on all Topical Workshops! Pay your registration fee in full by March 31 and save.
Questions? E-mail us.