About This Workshop
Instructor
Rasoul Norouzi Department of Methodology and Statistics, Tilburg University
Rasoul Norouzi is a PhD candidate in social science at Tilburg University. His research uses natural language processing to support theory development and refinement in the social sciences. He works on language models for causal information extraction from scientific text, graph-based methods for analyzing causal claims, and text mining to support transparent and reproducible research synthesis. He developed SocioCausaNet, the multitask model at the heart of this workshop. He is affiliated with the Insight Lab, the CPCM Lab, and the Meta-Research Lab at Tilburg University.
Prior to his PhD, Rasoul earned an M.Sc. by Research in Information Technology from Tarbiat Modares University, Tehran.
When he is not training models, he is usually building small tools to make research life a bit less painful, and putting them on GitHub for whoever needs them.
๐ง r.norouzi@tilburguniversity.edu ๐ rasoulnorouzi.github.io ๐ GitHub ๐ Google Scholar ๐ ORCID 0000-0002-4447-764X
Organized In Collaboration With
Netherlands eScience Center
The eScience Center is the Dutch national center for the development and application of research software. They developed the bulk paper download package used in Module 1 of this workshop.
Open Science Community Tilburg
The Open Science Community Tilburg is a network of researchers at Tilburg University committed to open and reproducible research practices.
https://www.tilburguniversity.edu/research/open-science-community
Insight Lab
Insight Lab develops transparent and reproducible methods for social science research, led by Dr. Caspar van Lissa at Tilburg University.
https://cjvanlissa.github.io/insight_lab/
About the Workshop
This workshop is a pre-conference event on September 30, 2026 in Tilburg, Netherlands. It was designed to give social science researchers practical, hands-on experience with a reproducible text mining pipeline that requires no background in machine learning.
The full pipeline, from downloading papers to a visual causal knowledge graph, uses only deterministic, evidence-based models. Every result the pipeline produces can be traced back to an exact sentence in an exact paper.
Citing This Workshop
If you use materials from this workshop in your own work, please cite:
Norouzi, R. (2026). Text Mining Systematic Reviews: A Pre-Conference
Workshop. Tilburg University. https://rasoultilburg.github.io/sociocausanet-workshop