AI-Assisted Content Analysis

Date:

29/10/2026

Organised by:

Instats

Presenter(s):

Prof. Kenneth Benoit & Dr. Seraphine F. Maerz

Level:

Entry (no or almost no prior knowledge)

Contact:

Marc Monit
marc@instats.org

video conference logo

Venue: Online

Description:

A hands-on, cross-disciplinary workshop on AI-assisted qualitative coding and content analysis in R using the quallmer R package. With minimal programming, participants learn how to leverage Large Language Models (LLMs) such as OpenAI, Anthropic, Google Gemini, and local models to code qualitative text, audio, and video data reliably, reproducibly, and transparently for scientific research.

Cost:

$69 – $289 USD (depending on student, researcher/affiliate, or standard registration)

Website and registration:

Register for this course

Region:

International

Keywords:

Quantitative Data Handling and Data Analysis, ICT and Software, AI-Assisted Content Analysis, Qualitative Analysis, Large Language Models, LLMs, quallmer, R, Natural Language Processing, Machine Learning


Related publications and presentations from our eprints archive:

Quantitative Data Handling and Data Analysis
ICT and Software

Back to the training database