Welcome to the Chair of Systems Design

Our research can be best described as data driven modelling of complex systems with particular emphasis on social, socio-technical, and socio-economic systems. We are a truly interdisciplinary team of about 15 people from various disciplines (statistical physics, applied mathematics, computer science, social science, engineering). And, yes, we do all the cool stuff, from big data analysis to multilayer network models, from social software engineering to predictions of scientific success - not to forget our research on polarization in political systems, cooperation in animal societies, and life cycles of R&D networks. Just click through our publications, funded projects, teaching or media coverage. 

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git2net is awarded Special MSR Mention

We are proud to anounce that our paper introducing the Open Source python package git2net received a Special MSR Mention at the 16th International Conference on Mining Software Repositories (MSR) 2019 in Montreal, QC, Canada.

With git2net we introduce an Open Source tool that facilitates the scalable extraction of time-stamped co-editing relationships between developers in large git-based software repositories.

Click here for more information.

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Open PhD Position in Parliamentary Networks

We welcome applications for a doctoral position studying parliamentary networks
We offer excellent working conditions in a lively interdisciplinary team as well as a competitive salary and cooperations with leading institutions worldwide.

More information on this position and how to apply is available here.

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Die Entscheidungshelfer

Wissenschaftler sollten sich öfter in öffentliche Debatten einmischen. Dazu muss die Diskussionskultur entschieden besser werden.

Dazu ist am 13. Februar 2019 in der Süddeutschen Zeitung ein Beitrag von Prof. Schweitzer als "Aussenansicht" erschienen.
Den entsprechenden Beitrag finden Sie hier.

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Article in notabene

In February 2019, the journal notabene published an article about the reformation. Our project to visualize the reformers' correspondence network is presented there.

You can find the article (in German) here.

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Open PhD Position in Computational Social Science

We welcome applications for a doctoral position in Computational Social Sciences.
We offer excellent working conditions in a lively interdisciplinary team as well as a competitive salary and cooperations with leading institutions worldwide.

More information on this position and how to apply is available here.

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Euro CSS

Together with GESIS and Nokia Bell Labs we are organizing the Euro CSS.
This is the third in a series of three symposia that discuss societal challenges in computational social sciences and the focus will be on “Polarization and Radicalization”.

The symposium will take place from 2 - 4 September 2019 at ETH.

For more information, please visit the official website here.

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Scientists' Mobility

What regulates the careers of scientists? Where do they transfer and why? We have recently developed a data drive agent-based model that tackles these questions. By extracting from MEDLINE careers' paths of scientists, we are able to use these paths to reconstruct the global mobility network of scientists at city level. After calibrating our model against real-world data, our model correctly reproduces various topological properties of the mobility network only using two parameters! Read the full article here.

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h-core for ICSE paper

We are proud that our ICSE 2013 paper on triaging bugs has reached h-score in the Google Scholar Metrics as one of the most cited ICSE publications in the last 5 years. 

In this paper, we propose an efficient and practical method to identify valid bug reports which a) refer to an actual software bug, b) are not duplicates and c) contain enough information to be processed right away.

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Systemic risk on finite networks

How big is the risk that a few initial failures of nodes in a network amplify to large cascades? Predicting the final cascade size is critical to ensure the functioning of a system as a whole.

To make this prediction, we often compute the average cascade size using local tree approximations or mean field approximations. Yet, as we demonstrate in our recent work, in finite networks, this average does not even need to be a likely outcome. Instead, we find broad and even bimodal cascade size distributions.

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Pathpy User Group Symposium

 

At the first meeting of the users of the temporal network and path analysis library Pathpy, aka Pathpy User Group, users of the software have been shown several new and upcoming features of the software.
The main developer and driving force behind the project, Prof. Ingo Scholtes, has provided a historical overview and genesis of the project. more

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Topical Session on Scientist Mobility

Mobility of researchers is thought to aid the diffusion of scientific expertise. Restrictive migration policies, however, have the potential to disrupt the international exchange of knowledge and could negatively affect scientific progress. A fundamental understanding of the mobility patterns is necessary to support evidence based policy decisions.

Join us at WEHIA 2019 from 24-26 in London to discuss this highly relevant topic.

Click here for more information.

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The trajectory to achieve control

Traditional research has investigated the controllability of complex networks - a property whether a system can be steered from an arbitrary initial state to any desired final state with admissible external inputs in a finite time. To implement control in practice, the trajectory (route) to reach the final state must be systematically understood. Here we uncover the relations between the trajectory and several key factors, such as the control time, distance between the initial and final states, and the number of nodes receiving external control inputs.

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New preprints on gHypEGs

In our latest articles, we have provided a formal presentation of the generalised hypergeometric ensemble of random graphs (gHypEG), and we have introduced a new family of block models based on it that are naturally degree-corrected: the block-constrained configuration model (BCCM).

You can find the two preprints here and here.

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Reproducing size distribution of R&D alliances

We have recently developed a new model to reproduce the size distribution of R&D alliances among firms. Our model can be used not only for agent-based simulations, but it is also analytic tractable. In addition, we have tested it against a data set listing 15,000 firms engaging in 15,000 R&D alliances over 26 years. Interested? Then take a look at our paper.

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