This week, we have been granted research funds from the city of Hamburg. The funds have been granted to the SmartOpenHamburg project which is part of the information platform ahoi.digital. Members of the MARS group will work on this project in cooperation with the University of Hamburg.
The project aims to empower decision makers, by giving better information for the urban space. The MARS simulation system will be used to simulate urban traffic, logistics among other topics and future scenarios for city development.
Dr. Simon Scheiter and Carola Martens from the Senckenberg Research Institute at the University of Frankfurt visited the MARS lab between August, 14th and 17th. Both groups are currently working on different approaches for modelling savanna system dynamics. Main goal of this scientific exchange was discussing opportunities for coupling adaptive dynamic global vegetation models (aDGVM) with MARS. The very promising results will be published soon.
The MARS Team is looking for 2 students who are interested in taking a job for 40 – 80 hours per month and help with the Development of our MARS Urban model and the corresponding tooling. A description and further details are available here: https://mars-group.org/jobs/
Last week, professor Greg Kiker and his PhD student Tori Morgan from the University of Florida (UF) visited us in Hamburg. The purpose of this visit was to deepen the partnership in ecological agent-based modelling, that exists since 2012.
Prof. Kiker is currently working on a research paper that compares the QND simulation system with MARS. Also, there are plans to use the MARS simulation system for educational purposes at the UF.
Tori Morgan recently started her studies on an agent-based model for simulating human and ecological exposure to mercury from informal gold mining activities in Columbia.
It’s a wrap! A very successful final day at the MARSFest 2017 is over! After discussing the results from various Wolves-Sheep-Model runs and revisiting the concepts and learning from Day 2, the group went on to take a look at the Kruger National Park model. For 2 hours we went through the features and discussed the agent-based design of this fully-featured large-scale MARS model. After a lunch break the attendees went on to alter and extend the Wolves-Sheep Model. For instance, they added a Mercury layer in order to poison the grass and thus the sheep as well as the wolves. Two other students directly jumped into working on their PhD projects with MARS. Very nice!
Dr. Greg Kiker explaining the Potential Field for Vegetation Cover in Kruger National Park.
Dr. Greg Kiker explaining more of the code.
Two screenshots from the Household Energy Resource (HER) model by Jaime Leon.
Showing the way data and model code get together in the MARS WebUI.
The cloud usage during the workshop. MARS running efficiently on the available hardware.
Day 2 of MARSFest 2017 is over! We were starting out in the smaller room from yesterday, but as the word of MARSFest spread, more people kept coming in, so we moved the workshop to a proper classroom 🙂
After checking back on the HelloWorld model from yesterday, we explored the Predator-Prey model involving Wolves, Sheep and Grass. As everybody got the idea of how to build models with MARS in terms of layers, agents and the provided components, the attendees started to work on tuning the parameterization of the model to improve on its dynamics. A little challenge emerged to see who could get it to produce a decent population dynamic first 🙂 Tomorrow will have the introduction to the full-feature Kruger National Park model.
Again, here are some impressions from today:
First attempt in getting the dynamics of Wolves & Sheep right.
Going through the example model code and fine-tuning.
A final result from one of the attendees. Very nice!
[:de]The MARSFest 2017 at the University of Florida in Gainesville is under way! Christian Hüning and Jan Dalski together with Greg Kiker started out with 9 attendees and went trough an introduction on how MARS 2.0 works. A very good Q n’ A / discussion emerged as to what the unique capabilities like running models at scale in the cloud, importing large-scale data sets and modeling with the MARS LIFE Layer approach means for the modeler and the model alike. Finally all attendees concluded with working through the Getting Started Guide and getting their systems ready for production. Next up: First attempts in modeling with MARS based on the classical Predator-Prey model of Sheep, Wolves and Grass.
Finally some impressions from the Workshop:
[:en]The MARSFest 2017 at the University of Florida in Gainesville is under way! We started out with 9 attendees and went trough an introduction on how MARS 2.0 works. A very good Q n’ A / discussion emerged as to what the unique capabilities like running models at scale in the cloud, importing large-scale data sets and modeling with the MARS LIFE Layer approach means for the modeler and the model alike. Finally all attendees concluded with working through the Getting Started Guide and getting their systems ready for production. Next up: First attempts in modeling with MARS based on the classical Predator-Prey model of Sheep, Wolves and Grass.
Together with our partner Prof. Greg Kiker from the Department of Agricultural and Biological Engineering at the University of California (Prof. Kiker’s Profile Page) the MARS Group is organizing the MARSFest 2017 from May 1st to May 5th at the UF in Gainesville. Jan Dalski and Christian Hüning will present the current state of MARS 2.0 with an up to date version of the MARS KNP model to showcase the more advanced features of MARS., while a simple Wolves & Sheep model will be provided for a hands-on workshop.
As MARS 2.0 is in closed beta since February 2017, the presentation will also feature the first public release of the MARS Modeling Toolkit, which includes a MARS Plugin for the JetBrain C# IDE ‘Rider’ that will allow model developers to focus on their model’s logic and to debug the model code locally.
Furthermore the first version of the MARS Teaching UI will be shown and may be tried out by all participants in order to receive valuable feedback on the new UI for MARS 2.0.