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Followers
66
Account age
2 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🧰 Free analysis for RC Trustworthy Data Science
Known for
8 views
Language models do not only generate text. They increasingly shape how information is found, classified, summarized, and protected.
At #ACL2026 in San Diego, researchers from #RCTrust contributed three papers and one workshop on privacy in NLP, generative web search, and multimodal industry classification.
The contributions involve Ivan Habernal, Bilal Zafar, and Elisabeth Kirsten.
https://rc-trus
6 views
Learning from cause and consequence 🤖🔎
Gabin Agbalé, PhD student in Alexander Marx ’s Causality group at RC Trust, attended the Reinforcement Learning Summer School 2026 in Milan. 🇮🇹🎓
The program connected directly to his work on causal representation learning and offered space for feedback, exchange, and future collaborations. 🌍🤝
https://rc-trust.ai/news/news-detail/learning-from-cause-and-conseq
5 views
Causal discovery under skewed noise. 📊🔎
Daniel Klippert from Alexander Marx’s Causality group at RC Trust presents a poster at ICML 2026 in Seoul. 🎓
His work with Alexander Marx introduces SkewD, a method for causal discovery when real-world data does not follow neat, symmetric patterns. ⚙️🧠
https://rc-trust.ai/news/news-detail/causal-discovery-under-skewed-noise
#ICML2026 #Causality #MachineLearn
5 views
🌍 International exchange behind the scenes of research:
Ulrike Guba from Markus Pauly’s chair at TU Dortmund University spent several days at Leiden University through Erasmus+ Staff Mobility.
Her job shadowing stay offered insights into administrative workflows, student presentations, academic ceremonies, and the everyday structures that support research and teaching. 🗂️🎓
And yes, Leiden wins the
📊 Post engagement
4
Avg engagement / post
6.1%
Engagement vs followers
Apr 2024
On Mastodon since
🔥 Top post: Language models do not only generate text. They increasingly sha · 8 likes + reposts
📊 Activity & format
Posting cadence
3.8 / week
Posts several times a week.
Content mix
Mostly images
Recent: 0 text · 12 image · 0 video.
Follower / following
2.8×
Follows 24 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
🔥 Top post
Language models do not only generate text. They increasingly shape how information is found, classified, summarized, and protected.
At #ACL2026 in San Diego, researchers from #RCTrust contributed three papers and one workshop on privacy in NLP, generative web search, and multimo…
👋 Welcome to RC Trust, Dr. Chris Köcher!
Chris joins Daniel Neider’s group as a Postdoc. His research focuses on automata, formal language theory & verification – and he will continue work on large language models, expressivity and verific…
👋 Welcome to RC Trust, Paul Fink!
Paul joins Daniel Neider’s group as a PhD student. His interests include formal methods, multi-agent systems, Algorithmic Game Theory, Epistemic Logic and strategic temporal logics. 🔍📐
#FormalMethods #Trus…
Causal discovery under skewed noise. 📊🔎
Daniel Klippert from Alexander Marx’s Causality group at RC Trust presents a poster at ICML 2026 in Seoul. 🎓
His work with Alexander Marx introduces SkewD, a method for causal discovery when real-wor…
🤖🔍 Ruhr Fellow David Broczkowski has joined Daniel Neider’s group for a research internship on transformer verification.
He is exploring how AI models can be checked for reliable behaviour when their inputs change – while gaining experienc…
🌍 International exchange behind the scenes of research:
Ulrike Guba from Markus Pauly’s chair at TU Dortmund University spent several days at Leiden University through Erasmus+ Staff Mobility.
Her job shadowing stay offered insights into a…
🧪🤖 Can AI make chemical processes safer – and who checks the AI?
Daniel Neider contributes to the 2nd DFG funding phase of FOR 5359 on deep learning for sparse chemical process data.
His subproject focuses on formal verification of neural …
Learning from cause and consequence 🤖🔎
Gabin Agbalé, PhD student in Alexander Marx ’s Causality group at RC Trust, attended the Reinforcement Learning Summer School 2026 in Milan. 🇮🇹🎓
The program connected directly to his work on causal re…
📊 Uncertainty is not a flaw in data science. It is part of making data science trustworthy.
At RC Trust, Dr. Julian Rodemann gave a guest talk on “Uncertainty Quantification and Statistical Inference Under Feedback Loops”.
The talk explore…
Research Explorer Ruhr 2026 brought three international early career researchers to RC Trust and into close exchange with their hosts at TU Dortmund University:
Minh Nguyen – Prof. Sven Mayer, Human-AI Interaction
Mohammad Nur Al Homsi – P…
🐛 How does a centipede know how to walk?
Dr. Linara Adilova uses this old dilemma to explain a central question of trustworthy AI: deep neural networks perform impressively – but do we understand why?
Her essay, written as a submission to …
💙 What makes a chatbot feel like a romantic partner?
In her first publication, Paula Ebner explores romantic human-chatbot relationships together with Dr. Jessica Szczuka.
The article was published in Technology, Mind, and Behavior and is …
🐘 Community & instance
Home server
ruhr.social
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Apr 2024
An established account with real history on the platform.
💡 Facts
🗓️Joined Mastodon in 2024 — 2 years ago.
👁️Averages 4 views per post.
📤Posts about 3.8× per week.
🕵️ Fake follower check
Estimated84/100
Excellent
Credibility score
95%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 95% real, active audience · Low fake-follower risk.
- Strong engagement (~6.1% of followers engage each post) — an active, real audience.
- Verified account.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
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Research Center Trustworthy Data Science and Security
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