Research Group Jana Diesner
Jana Diesner
Prof. Dr.
Core PI
Jana Diesner
leads the Human-Centered Computing group at TU Munich.
Her interdisciplinary group works on methods from network analysis, natural language processing, machine learning and AI, and integrates them with theories from the social sciences and humanities to advance knowledge about socio-technical systems and responsible computing. Jana earned her Ph.D. at Carnegie Mellon and joined TUM from the University of Illinois Urbana Champaign, where she was a tenured professor at the School of Information Sciences.
Team members @MCML
PostDocs
Stephen Meisenbacher
→ Group Jana Diesner
Human-Centered Computing
Aniket Pramanick
→ Group Jana Diesner
Human-Centered Computing
PhD Students
Shaghayegh Kolli
→ Group Jana Diesner
Human-Centered Computing
Nafiseh Nikeghbal
→ Group Jana Diesner
Human-Centered Computing
Recent News @MCML
Publications @MCML
2026
Multi-Functional Embedding Models for Funder Name Disambiguation in Scientific Publication Records.
Preprint (Sep. 2026). arXiv GitHub
Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy.
Preprint (Aug. 2026). arXiv GitHub
StylisticBias: A Few Human Visual Cues Drive Most Social Bias in MLLMs.
AI4GOOD @ICML 2026 - Workshop on Trustworthy AI for Good at the 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs.
AI4GOOD @ICML 2026 - Workshop on Trustworthy AI for Good at the 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs.
AIWILD @ICML 2026 - 2nd Workshop on Agents in the Wild: Safety, Security, and Beyond at the 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL
Recommendations for conducting ethical network research.
Network Science 14.17. Jul. 2026. DOI
Neuron-Level Interventions for Gendered and Gender-Neutral Generation in Language Models.
Preprint (May. 2026). arXiv GitHub
GlotOCR Bench: OCR Models Still Struggle Beyond a Handful of Unicode Scripts.
Preprint (Apr. 2026). arXiv GitHub
2025
CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI GitHub
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI
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2025-10-06 - Last modified: 2026-07-03