29.09.2025
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
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
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 …
10.07.2025
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 healthcare …
10.07.2025
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!
30.04.2025
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 …
23.04.2025
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!
01.01.2025
We are happy to announce that MCML researchers are represented in 2025 with 110 papers in highly-ranked journals. Congrats to our researchers!
05.12.2024
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
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
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 …
01.08.2024
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 …
20.07.2024
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
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 …
30.04.2024
We are happy to announce that MCML researchers have contributed a total of 15 papers to ICLR 2024: 9 Main, and 6 Workshop papers. Congrats to our researchers!
22.04.2024
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
In this article from the Frankfurter Allgemeine Zeitung (FAZ), 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
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 …
01.01.2024
We are happy to announce that MCML researchers are represented in 2024 with 90 papers in highly-ranked journals. Congrats to our researchers!
05.12.2023
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
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. «Unfortunately, many people are not aware of the problem. Although they know …
23.06.2023
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, Stefan Feuerriegel, LMU professor for AI in Management at …
03.05.2023
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 …
01.01.2023
We are happy to announce that MCML researchers are represented in 2023 with 43 papers in highly-ranked journals. Congrats to our researchers!
2025-09-29 - Last modified: 2025-10-11