Christian Laußmann

M.Sc. Computer Science

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About Me

My name is Christian Laußmann and I'm based in Düsseldorf, Germany. As a PhD student at the institution for computational complexity and cryptology and cryptology, I mostly do research in the area of Computational Social Choice. In this research area we are interested in the design and analysis (complexity- and axiomatic-wise) of methods for collective decision making. Particularly, my research is focused on multiwinner voting rules, apportionment methods for parliamentary elections, and participatory budgeting.

Personally, I'm interested in crypto currencies and blockchain technlologies. Mathematically limited crypto currencies will displace fiat currencies in the long term. It is the greatest economic revolution of our century. Further, I'm very interested in nature, mainly in insects. Please also visit the YouTube channel of my father about butterflies. Keep in mind that an intact, complex ecosystem is always more resilient to external changes. We can never fully understand all connections. Nature is smarter than us.

In my free time my great passion is latin and ballroom dancing. It is the perfect combination of sport, art, theater and music. If you've never tried it, you should!

Professional Experience

2021 - now Scientific Assistant  • HHU Düsseldorf •  Currently I'm researching in the field of computational social choice at the department of Computational Complexity and Cryptology. I'm also teaching and co-organizing events.
2017 - 2019 Administrator  • Deutsche Welle Bonn •  I worked in the automation of assignment of correct user permissions and configurations in the MS Windows network of the Deutsche Welle worldwide. This involved mostly scripting with MS Powershell on MS Windows Server. Further, I organized the updates from Windows 7 to Windows 10 in Bonn.
2014 - 2017 Administrator, Webdesigner, Board Member  • YoungGeneration Computerservice Leverkusen •  In our student company at the Landrat-Lucas Gymnasium i built websites for local shops and organizations. I also participated in setting up a WIFI network for about 1800 students in school. Further, I was CEO of the company from 2016 to 2017.


2022 - now PhD Student  • HHU Düsseldorf •  (In Progress)
2021 - 2022 M.Sc. Computer Science  • HHU Düsseldorf •  Very Good (1.0)
2017 - 2021 B.Sc. Computer Science  • HHU Düsseldorf •  Very Good (1.1)
2009 - 2017 Abitur  • Landrat-Lucas Gymnasium Leverkusen •  Good (1.6)


IJCAI-2022 Time-Constrained Participatory Budgeting Under Uncertain Project Costs  • Dorothea Baumeister, Linus Boes, and Christian Laußmann •  We show that planing a participatory budgeting campaign under uncertainty in the costs of projects is a very difficult process. After proving that no optimal algorithms exist, we develop best-effort algorithms which we were able to show perform well on average instances.
AAMAS-2022 Voting for Centrality (extended abstract)  • Ulrik Brandes, Christian Laußmann, and Jörg Rothe •  Voting rules are methods from social choice theory to determine the winners according to preferences of voters. We propose to interpret network relations (e.g. distances) as preferences. Using these preferences, we can rank nodes in the network by their centrality using voting rules.

Teaching and Projects

2022 Co-Organizer of EUMAS Conference  •  The European Conference on Multi-Agent Systems (EUMAS) is an EURAMAS designated event which attracts researchers from all over Europe but also everywhere in the world. I organized the PhD Day which includes presentations and working groups for PhD students.
2021 - 2022 Preliminary Course Computer Science 2021 and 2022  •  The preliminary course introduces new computer science students to the university. The course focuses on basics of math, logic, and programming. I was one of the organizers and developed content.
2022 Theoretical Computer Science  •  A mandatory bachelor course about an introduction to all areas of theoretical computer science. I prepared excercise sheets and offered a practice group.
2021 Preference Aggregation by Voting  •  A bachelor course about voting theory and computational complexity of manipulation and control. I prepared excercise sheets and offered a practice group.