During lecture time, we have our Lunchtime Seminar each Tuesday from 12.15-12.45. During this seminars, researchers of the Department or invited guest provide us with insights into their research.
Datum |
Titel | Zusammenfassung |
|---|---|---|
| 12.11.2024 | European Research Center for Information Systems (ERCIS) |
Speaker: Dr. Katrin Bergener and Dr. Armin Stein Abstract: In 2024, ERCIS marks its 20th anniversary. Its progress since 2004 has been remarkable, laying the foundation for continued growth over the next two decades. In their presentation, Katrin and Armin will provide an overview of ERCIS' key accomplishments, ongoing initiatives, and future prospects. Additionally, they will explain the opportunities for PhD students, PostDocs and... mehr |
| 05.11.2024 | Improving health and well-being with digital technologies |
Speaker: Prof. Dr. Reima Suomi |
| 29.10.2024 | Subject-Orientation and S-BPM |
Speaker: Dr. Matthes Elstermann Abstract: A short introduction on what subject-oriented modeling is supposed to be, how it can be used, and why it is more than just another workflow notation. |
| 22.10.2024 | Desperately Seeking Responsibility in (Green) IS Research |
Speaker: Dr. Markus P. Zimmer |
| 15.10.2024 | Overcoming challenges in designing and developing a trustworthy ESG reporting digital platform (with Albert Plugge) |
Speaker: Prof. Dragos Vieru |
| 02.07.2024 | From Functional Languages to Software Engineering - Farewell Lecture |
Speaker: Prof. Herbert Kuchen Abstract: The talk will give an overview of the research of my research groups over the years. Starting from the design and implementation of programming languages topics such as the integration of programming paradigms, high-level parallel programming, model-driven software engineering, process-driven applications, debugging, and testing will be touched. In particular, the visualization of data flows... mehr |
| 25.06.2024 | Academic Publishing and Academic Ethos - Looking Back to the Future |
Speaker: Prof. Stefan Klein |
| 11.06.2024 | Hiring Biases and Responsible Artificial Intelligence |
Speaker: Dr. Shweta Singh Abstract: In order to mitigate algorithmic AI biases, there has been ample research to develop ‘de-biased’ AI solutions. However, researchers also acknowledge that technological fixes of AI bias and a mathematical notion of AI fairness is hard to come by. Thus, we propose a unique and novel technique to understand biases from the AI models and argue to integrate this knowledge in our society, in order to... mehr |
| 28.05.2024 | Public Data Spaces as Service Ecosystems: Insights from Designing a Cultural Data Space |
Speaker: Prof. Daniel Beverungen |
| 14.05.2024 | Started for the Call, Continued for the Job: The Effect of Personal Contact in Online Labor Platform Onboarding on Worker Activity and Performance |
Speaker: Dr. Mark Boons |