Clonal Interference in Heterogeneous Networks
Our research group explores the intricate relationship between complex environmental structures and evolutionary processes, focusing on clonal interference in asexual populations. We aim to understand how organisms adapt in heterogeneous, network-like environments that closely resemble real-world scenarios.
COVID-19 Detection from Wearables
Controlling the spread of infectious diseases early in a pandemic is crucial. The recent COVID-19 outbreak and its rapid global spread highlight the urgent need for tools that can limit the spreading of infectious diseases at the earliest stage to prevent global pandemics.
Fungal Growth
Fungi interact in a mycorrhizal symbiosis with plants or are simple decomposers of organic matter. In this project we investigate the growth of filamentous fungi by creating and investigating mathematical growth models.
Import Risk
Our globalized world is strongly connected, on the small scale by buses, trains, cars, and on the largest, global scale by the Worldwide Air transportation Network (WAN). It is likely that our connectivity has not reached its peak yet, since for example the number of globally scheduled air passengers increased yearly by about 6% between 2004 and 2019.
Complexity Explorables @ Cosmo
The interdisciplinary research center Department Speculative Transformation of TUD Dresden University of Technology launched the exhibition Designing Futures Together: Visionary Realities at the Cosmo Science Forum. The Exihibition was open from April to Juli, 2024. We provided an interactive visualization exhibit with a selection of Complexity Explorables. Have a look at what people saw at the exhibition.
Complexity Explorables
This project is designed for people interested in complex systems and complex dynamical processes. Complexity Explorables hosts different collections of interactive illustrations of models for complex systems in physics, mathematics, biology, chemistry, social sciences, neuroscience, epidemiology, network science and ecology. Topics include pattern formation, synchronization, critical phenomena, chaotic dynamics, evolutionary dynamics, fractals, collective behavior, reaction-diffusion systems and more.
Corona Datenspende App
At the beginning of April 2020, we launched the official Corona Datenspende App. Since then, more than 530.000 German inhabitants have decided to donate their fitness tracker data. This is the biggest data donation project worldwide. We also calculate daily fever detections by regions and update the live fever monitor.
Epipack
Fast prototyping of epidemiological models based on reaction equations. Analyze the ODEs analytically or numerically, or run/animate stochastic simulations on networks/well-mixed systems. Simple compartmental models of infectious diseases are useful to investigate effects of certain processes on disease dissemination. Using pen and paper, quickly adding/removing compartments and transition processes is easy, yet the analytical and numerical analysis or stochastic simulations can be tedious to set up and debug—especially when the model changes (even slightly).
Netwulf
Simple and interactive network visualization in Python. Network visualization is an indispensable tool for exploring and communicating patterns in complex systems. Netwulf offers an ultra-simple API for reproducible interactive visualization of networks directly from a Python prompt or Jupyter notebook. As a research tool, its purpose is to allow hassle-free quick interactive layouting/styling for communication purposes.