Dr. Elena Richter
AI Research Lead · TU Munich
Machine Learning · AI Systems
AI Intensive Training
AI for Researchers
Accelerate literature, analysis, and research workflows — with academic integrity intact.
Overview
Research is bottlenecked by volume: papers, data, drafts, and review. This 3-week intensive trains researchers to use AI for discovery, analysis, and writing support while keeping citation standards, reproducibility, and scholarly judgment at the center.
3-week curriculum
Week 1 — AI Foundations & Tools for Research
- Scholarly AI landscape
- Integrity, attribution, and limits
- Literature and writing tool stack
Week 2 — Applied Research Use Cases
- Systematic discovery
- Analysis assistance
- Drafting, review, and documentation
Week 3 — Practical Research Project
- Personal research workflow
- Literature synthesis artifact
- Reproducibility notes
What you will focus on
- AI-assisted research practice
- Research productivity systems
- Data analysis with AI support
- Literature discovery and synthesis
- AI research tools
- End-to-end research workflows
Outcomes that transfer to work
- A documented AI-augmented research workflow
- A literature synthesis with verified sources
- A reproducibility and integrity checklist
- A professional certificate for the intensive program
Expert Instructors
Learn from verified industry practitioners and professors from the Praktix expert network.
Franziska Eva Ettenhuber
Doctoral Student · Ludwig Maximilian University Munich
Industry Expert
Karan Khurana
Professor /Researcher · Antwerp Management School, University of Antwerp
Industry Expert
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