Workshop Schedule
A three-day series of hands-on activities, discussions, and group projects
Core Activities
Sessions with expert facilitators, group projects, and peer review processes.
Opening Keynote
Dr. Maria Alvarez introduces the themes and goals for the workshop series.
Advanced Data Analysis
Led by Prof. James Müller, this session will cover Python-based data exploration and visualization techniques.
Group Projects
Collaboration in data visualization, AI in humanities, and research methodology teams.
All Day Sessions
Monday: Intro to data analysis tools (Python, Python),
Tuesday: Interdisciplinary project collaboration
Wednesday: Final presentations and feedback
Workshop Facilitators
Meet the scholars and practitioners delivering this interactive learning experience
Dr. Sarah Johnson
Associate Professor, Data Science
Expert in machine learning applications for humanities research.
Prof. James Müller
Director, Digital Humanities Lab
Specialist in data visualization and cultural analytics.
Join the Discussion
Registration is open for 300 attendees. Spots fills fast, so secure yours today.
Workshops FAQs
Answers to common questions from past participants
Are there any prerequisites?
Basic familiarity with basic research methodologies or data analysis is recommended but not required.
Can I attend only part of the workshop?
Registration is required for all sessions, but you're welcome to participate in all three days.
What materials will I receive?
Each participant receives workshop notes, datasets for analysis, and post-event resources.
What about technical requirements?
For virtual participants, a modern web browser and stable internet connection are needed.