Automation: The Secret to Reproducible Research (Save 9.5 Hours Per Project!)

🔬 Transform your research workflow with automation!
In this video, we dive deep into Gentzkow and Shapiro's automation principles that can save you hours per project while making your research bulletproof reproducible.

Topics:
• The Power of Automation
• Two Golden Rules of Research Automation
• Why Reproducibility Matters
• Time Savings Calculator (9.5 Hours!)
• Master Script Architecture
• High-Impact Automation Wins
• Secret Debugging Benefits
• Getting Started Template

📊 Benefits Covered:
Save 9.5 hours per research project
Eliminate human error in data processing
Create reproducible research pipelines
Simplify debugging and troubleshooting
Enable one-command project regeneration

🎯 Perfect for:
Graduate students starting research
Postdocs managing multiple projects
Faculty improving workflow efficiency
Anyone doing empirical research

📚 Resources Mentioned:
Gentzkow & Shapiro: "Code and Data for the Social Sciences"
R automation best practices
Master script templates

🔗 Connect with us:
Subscribe for more research workflow tips
Comment your automation success stories
Share with fellow researchers

#ResearchMethods #Automation #Reproducibility #RStats #DataScience #AcademicLife #GradSchool #Research #Statistics #Econometrics

Tyler Ransom is an Associate Professor of Economics at the University of Oklahoma. Subscribe for more videos on data science, econometrics, and research methods!
Editing credit: @neiljohnmanllios3064