Summary
Natalie Widmann is a data scientist and datenjournalistin with 11 years of experience applying machine learning, NLP and data analysis to journalism, human rights and civic-tech projects. Currently at SWR Data Lab and working freelance, she builds scalable pipelines for information extraction, semantic search and automation while also teaching journalists to understand and use algorithms responsibly. Previously she led a data science team at an innovation agency and developed ML tools for HURIDOCS, combining technical rigor with domain-focused product thinking. Trained in Cognitive Science and Artificial Intelligence, she excels at translating complex AI concepts into practical workflows and clear explanations for non-technical stakeholders. A pragmatic problem-solver, she often pairs automated document and satellite-data analysis to surface investigative leads that would be tedious to find by hand.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Radboud University
Bachelor's degree, Cognitive Science, Bachelor's degree, Cognitive Science at University of Tübingen