#feuerriegel
29.09.2025
Machine Learning for Climate Action - With Researcher Kerstin Forster
Research Film
How can machine learning fight climate change? Kerstin Forster, researcher at LMU and MCML, explores how AI can help reduce greenhouse gas emissions, improve renewable energy systems, and enhance early warning for extreme weather.
22.09.2025
Predicting Health With AI - With Researcher Simon Schallmoser
Research Film
How can AI predict medical conditions and personalize treatments? Simon Schallmoser, researcher at LMU and MCML, uses machine learning to forecast health risks and optimize care for patients based on their individual profiles.
04.08.2025
AI for Better Social Media - With Researcher Dominik Bär
Research Film
Meet Dominik Bär, MCML junior member and PhD student at LMU exploring how AI can enhance the integrity of social media platforms. Dominik’s work goes beyond just detecting harmful content like hate speech and misinformation. He’s developing AI that …
MCML at ICML 2025
25 Accepted Papers (20 Main, and 5 Workshops)
We are happy to announce that MCML researchers have contributed a total of 25 papers to ICML 2025: 20 Main, and 5 Workshop papers. Congrats to our researchers!
10.07.2025
Beyond Prediction: How Causal AI Enables Better Decision-Making - With Stefan Feuerriegel
Research Film
“A good prediction is rarely a good decision.” This may sound surprising in an age where AI is often celebrated for its predictive power. But when it comes to making real-world decisions — especially in complex environments like business or …
12.06.2025
Why Causal Reasoning Is Crucial for Reliable AI Decisions
MCML Research Insight - With Christoph Kern, Unai Fischer-Abaigar, Jonas Schweisthal, Dennis Frauen, Stefan Feuerriegel and Frauke Kreuter
As algorithms increasingly make decisions that impact our lives, from managing city traffic to recommending hospital treatments, one question becomes urgent: Can we trust them?
30.04.2025
Who Spreads Hate?
MCML Research Insight – With Dominique Geissler, Abdurahman Maarouf, and Stefan Feuerriegel
Hate speech on social media isn’t just offensive - it’s dangerous. It spreads quickly, harms mental health, and can even contribute to real-world violence. While many studies have focused on identifying hate speech or profiling those who create it, a …
MCML at ICLR 2025
52 Accepted Papers (35 Main, and 17 Workshops)
We are happy to announce that MCML researchers have contributed a total of 52 papers to ICLR 2025: 35 Main, and 17 Workshop papers. Congrats to our researchers!
01.04.2025
AI as Co-Pilot
LMU News
Our PI Stefan Feuerriegel and his team at LMU developed AI systems to assist decision-making in areas like healthcare and public administration. The AI acts as a co-pilot—analyzing data, suggesting options, and improving transparency—while final …
29.01.2025
Dominique Geissler Discusses the Impact of Deepfakes in Political Campaigns
AI-Generated Deepfakes: A Growing Threat to Political Integrity
MCML Junior Member Dominique Geissler, PhD student in the group of our PI Stefan Feuerriegel, was recently featured in Stern, where she spoke about the growing concerns surrounding AI-generated deepfakes in the political sphere.
MCML Researchers With 130 Papers in Highly-Ranked Journals
We are happy to announce that MCML researchers are represented in 2025 with 130 papers in highly-ranked journals. Congrats to our researchers!
MCML at NeurIPS 2024
31 Accepted Papers (23 Main, and 8 Workshops)
We are happy to announce that MCML researchers have contributed a total of 31 papers to NeurIPS 2024: 23 Main, and 8 Workshop papers. Congrats to our researchers!
28.11.2024
Enhancing the Integrity of Social Media With AI
Researcher in Focus: Dominik Bär
MCML Member Dominik Bär is a researcher at the Institute of Artificial Intelligence (AI) in Management at LMU, working within the research group of Stefan Feuerriegel. He is pursuing his PhD with a focus on social media analytics.
18.11.2024
Several MCML PIs Receive BMBF Funding
Funding of Two New Joint Projects
The BMBF is funding two new joint projects with several MCML researchers involved. One teaches AI models causal relationships, the other refines the tactile abilities of robots.
CausalNet: AI that Understands Cause and Effect
The CausalNet project aims …
MCML at ACL 2024
23 Accepted Papers (9 Main, 8 Findings, and 6 Workshops)
We are happy to announce that MCML researchers have contributed a total of 23 papers to ACL 2024: 9 Main, 8 Findings, and 6 Workshop papers. Congrats to our researchers!
01.08.2024
Influence on Elections by Meta Algorithm
NDR Info Wissen
The large-scale study conducted by our PI Stefan Feuerriegel and his team on political advertising on social media during the 2021 German federal election is the subject of this audio feature by Norddeutscher Rundfunk (NDR). MCML Junior Member …
MCML at ICML 2024
24 Accepted Papers (17 Main, and 7 Workshops)
We are happy to announce that MCML researchers have contributed a total of 24 papers to ICML 2024: 17 Main, and 7 Workshop papers. Congrats to our researchers!
27.06.2024
How the Meta Algorithm Influences Election Advertising
LMU News
Our PI Stefan Feuerriegel and his team, in collaboration with the Politecnico di Milano and CENTAI from Turin, conducted a large-scale study on the topic of election advertising. In the run-up to the federal election, more than 80,000 political …
MCML at ICLR 2024
16 Accepted Papers (9 Main, and 7 Workshops)
We are happy to announce that MCML researchers have contributed a total of 16 papers to ICLR 2024: 9 Main, and 7 Workshop papers. Congrats to our researchers!
22.04.2024
Causal AI in the Field of Diagnosis and Therapy
LMU News
This LMU Newsroom article focuses on the research of our PI Stefan Feuerriegel in the field of AI in diagnosis and therapy. His team is working on a so-called Causal AI, which might be able to predict individual risk changes when taking medication.
23.02.2024
Stefan Feuerriegel About How AI Changes the Area of Business Administration
FAZ Article
In this article from the Frankfurter Allgemeine Zeitung, our PI Stefan Feuerriegel discusses whether AI renders business administration redundant, and if not, how the field of business administration should evolve in the future.
09.02.2024
AI Model as Diabetes Early Warning System When Driving
LMU News
Researchers from LMU Munich have developed an AI model that can detect low blood sugar levels (hypoglycemia) in people with diabetes while they are driving. The team around our PI Stefan Feuerriegel created a model, that only uses routinely collected …
MCML Researchers With 93 Papers in Highly-Ranked Journals
We are happy to announce that MCML researchers are represented in 2024 with 93 papers in highly-ranked journals. Congrats to our researchers!
MCML at NeurIPS 2023
21 Accepted Papers (15 Main, and 6 Workshops)
We are happy to announce that MCML researchers have contributed a total of 21 papers to NeurIPS 2023: 15 Main, and 6 Workshop papers. Congrats to our researchers!
22.11.2023
Artificial Intelligence: Stemming the Tide of Fake Facts
LMU News
In this interview our PI Stefan Feuerriegel talks about the danger of AI generated fake news. He explains what makes these campaigns so dangerous and how to counter them.
26.10.2023
New Paper Co-Authored by Our PI Stefan Feuerriegel
Building Open-Source AI
Our PI Stefan Feuerriegel argues why more AI should be build around open-source principles to be more accessible to everyone.
20.09.2023
Our PI Stefan Feuerriegel Was Featured by FAZ
Discussing His Research on Russian Propaganda-Bots on X
A new empirical study by the group of MCML PI Stefan Feuerriegel analyzes the workings of russian bots on X/Twitter in relation to the war in Ukraine. It was featured in a new article by the German magazine FAZ.
23.06.2023
MCML X Deutsche Journalistenschule: Impact of AI on Media
Interview With Our PI Stefan Feuerriegel
On 30th of May, MCML cooperated with the Deutsche Jounalistenschule by organizing a workshop that brought together young journalists and AI junior researchers. As a follow-up to the event, our PI Stefan Feuerriegel, LMU professor for AI in Management …
03.05.2023
Dominik Bär Awarded AI-Newcomer 2023
Awarded by Gesellschaft Für Informatik E.V. and Bundesministerium Für Bildung Und Forschung at This Year's KI-Camp
Our Junior Member Dominik Bär has been recognized for his AI research in the field of social media. Bär wants to use AI to solve social problems and improve social media. «My research leverages methods from AI and machine learning to study social …
03.01.2023
Article in Süddeutsche Zeitung About Research Breakthroughs 2022 in Munich
What Groundbreaking Research Scientists at LMU and TU Have Achieved in the Past Year
Read how our PI Stefan Feuerriegel uses AI to better evaluate global development aid projects.
MCML Researchers With 43 Papers in Highly-Ranked Journals
We are happy to announce that MCML researchers are represented in 2023 with 43 papers in highly-ranked journals. Congrats to our researchers!
