About
Michael Oppermann is a researcher affiliated with the Faculty of Computer Science, specializing in the Research Group Visualization and Data Analysis. His work bridges computational methods with journalism and urban mobility domains.
Research Interests:
- Data journalism practices and datafication of newswork
- Visual analysis techniques for transportation networks
- Intersection of computer science with social sciences
- Theoretical frameworks in academic research
Research Trends: Publications span data journalism (2020) and transportation visualization (2018), demonstrating interdisciplinary expertise combining computer science methodologies with social science applications.
Key Collaborations: Co-authored works with colleagues including Julian Ausserhofer, Reinhold Gutounig, Sabrina Matiasek, and Elena Goldgruber (2020), and collaborated with Torsten Möller and Michael Sedlmair (2018) on transportation visualization.
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