The Norwegian Research School in History is pleased to offer a specialized course focused on quantitative and computational methods relevant to historical research.
Dates and Location:
February 3, 2025, 9:00 AM – February 7, 2025, 5:00 PM
NTNU, Trondheim
This comprehensive course will introduce participants to essential quantitative techniques commonly employed in historical and social science research. Attendees will explore how to apply fundamental quantitative methods to actual historical data, both numerical and textual, enhancing their ability to critically analyze academic literature and conduct independent research.
Course Features:
No prior statistics background necessary; the focus will be on practical applications rather than theoretical concepts.
Introduction to Programming: Participants will learn to use R, a widely used statistical software.
Topics of Study Include:
Classic statistical approaches: descriptive statistics, correlation, and regression analysis.
Techniques in digital mapping.
Methods for computational content analysis: including natural language processing, text classification, topic modeling, and web scraping.
The course will be structured into 10 three-hour sessions, blending lectures with hands-on practical exercises.
Expected Outcomes:
Develop the ability to critically engage with quantitative research studies.
Conduct original research leveraging these methods in academia or the public sector.
Build upon skills in quantitative and computational methodologies.
Attain foundational proficiency in R.
Application Information:
Deadline: December 1, 2024.
Applications will be processed on a first-come, first-served basis for students affiliated with partner institutions and members of the NRSH. Any remaining openings will be made available to PhD students post-deadline.
Cost Information:
Participants are expected to cover their travel expenses. Accommodations will be provided for students from partner institutions outside the Trondheim area. Daily lunches will be included, as well as one or two communal dinners for all participants.
For further questions, reach out to Francisco J. Beltrán Tapia at NTNU.
Click here to apply for the course.
Note: Consistent attendance and participation throughout the entire course, including social events, is required to earn credit. Additional details regarding assignments and reading lists will be communicated later.