News
Pascal Klamser joins the ROCS-Team - Welcome Pascal
Pascal is a physicist by training with a PhD (almost) in biophysics and an interdisciplinary interest with a focus on multi-agent systems. How simple interaction rules shape the large scale dynamics of a system is the unifying question behind diverse projects as predator avoidance in collective behavior and opinion dynamics on adaptive networks.
A new COVID-19 mobility monitor report ist online
The report focuses on mobility in Germany as a function of distance. We address the question how mobility within German counties and across county borders is affected by lockdown measures and how this changes over time. The new report features a number of interactive illustrations.
We have a new website – This one!
A step that was long overdue: We launched the group’s new website today. After three years of stagnation, a dysfunctional, ugly and chaotic website, and numerous complaints we finally managed to kick-off a better interface to the community and the public.
Current and Most Recent Projects
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.
COVID-19 mobility monitor
We look at current pandemic mobility patterns and analyse the germanwide mobility based on anonymized mobile phone data. Our automated daily results are shown on the live 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).
COVID-19 - Event Horizon
The Covid-19 Event Horizon Project was inititated during the onset of the pandemic in the spring of 2020 when the pandemic was predominantly unfolding in mainland China. The project had two independent elements, each containing a predictive model. One model assessed the import risk of SARS-CoV-2 in different countries based on the global air-transportation network. The second dynamical model (SIRX) assessed the contaiment measures on the dynamics of the time course of the pandemic.
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.
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.
VacMap
VacMap is an interactive visualization of the vaccination status in Germany. VacMap conveys a qualitative and quantitative representation of the vaccination coverage at the regional resolution.
ZePaK
The aim of the project is to research which types of ticks are climate-related possibly new and which pathogens they carry. New Tick species behave differently than native ticks and can be burdened with previously unknown pathogens and potentially affect them Transfer people. The aim is to develop a structure for this pilot and citizens in a Citizen Science project motivate them to collect ticks and make them available to the RKI.
COVID-19 Publications
Most recent papers / preprints / documents / statements
Human Mobility & Infectious Disease Dynamics
A selection of papers
Proceedings of the National Academy of Sciences 117 (52), 32883-32890 (2020).
Bunde A., Caro J., Kärger J., Vogl G. (eds) Diffusive Spreading in Nature, Technology and Society. Springer, Cham. (2018).
Transportation 44, pages1383–1402 (2017).
Public Health Forum | Band 22: Heft 3 (2014).
PLoS Pathog 10(2): e1003932 (2014).
Science 342 (6164), 1337-1342 (2013).
Physical Review X 1 (1), 011001 (2011).
In Reviews of Nonlinear Dynamics and Complexity, H.G. Schuster (Ed.). (2009).
Proceedings of the National Academy of Sciences 101 (42), 15124-15129 (2004).
Selected Publications
Proceedings of the National Academy of Sciences 117 (52), 32883-32890 (2020).
Science 368 (6492), 742-746 (2020).
Science 342 (6164), 1337-1342 (2013).
Physical Review X 1 (1), 011001 (2011).
Proceedings of the National Academy of Sciences 101 (42), 15124-15129 (2004).
Team
Prof. Dr. Dirk Brockmann
Professor
Adrian Zachariae
PhD Student
Annika Rose
PhD Student
David Hinrichs
Data Scientist
Maria Siegmund
Researcher
Susi Gottwald
Project Manager
Dr. Benjamin F. Maier
Postdoc
Frank Schlosser
PhD Student
Olivia Jack
Researcher, Visual Artist
Angelique Burdinski
PhD Student
Clara Jongen
Master student
Katharina Ledebur-Wicheln
Master student
Katja Weimer
Master student
Mowgli
Senior Parks & Recreation Officer
Pascal Klamser
PostDoc
Contact
- dirk.brockmann@hu-berlin.de
- +49 (0) 30 18754 20 70
- Philippstraße 13
10115 Berlin - Institute for Theoretical Biology, Building 4
- Follow Me