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!
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.
Finally some impressions from the Workshop:
With the SpringSim 2017 conference and the MARSFest at the UF in Gainesville closing in, the MARS team is proud to announce the availability of the MARS Cloud 2.0 Beta! The MARS Cloud WebUI is available from https://mars.haw-hamburg.de and public documentation may be found here: Welcome on MARS
To get access to the MARS Cloud Beta, we currently ask you to fill out our short usage inquiry here: USE MARS and sign up through the MARS WebUI (https://mars.haw-hamburg.de/#/register). We will then get back to you shortly!
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.
The MARS group will be presenting two papers at the Spring Simulation Multi-Conference 2017 (http://scs.org/springsim/) in Virginia Beach, USA! The papers “An Output and 3D Visualization Concept for the MSaaS System MARS” by Jan Dalski and Christian Hüning as well as “Modeling Through Model Transformation with MARS 2.0” by Daniel Glake, Julius Weyl and Carolin Dohmen were accepted to the conference.
We are happy to announce that as of February 2017 the MARS 2.0 Cloud and the MARS LIFE 2.0 simulation platform have reached the state of closed beta!
The system has matured into a scalable and reliable MSaaS platform running inside a research cluster hosted and maintained by the MARS team at Hamburg University of Applied Sciences. The system is being tested now together with international partners from Florida and South Africa and aims for a first public release in Summer 2017.
Since the major features are ready for testing, we’re busy developing a MARS Teching UI to to push the usage of MARS in modeling courses. Also a new MARS Modeling Toolkit is under active development. It 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. This is a huge improvement to the past workflow as it allows for a lot faster and less error prone model development. The coming weeks will see even deeper integration of the MARS Plugin with the MARS Cloud services and thus allow developers to use more advanced features like model checking from within the IDE for instance. So stay tuned for further updates on the new toolkit!
Are you interested in using MARS for your simulation model or just want to know more about the platform and its capabilities? Just drop us a line through our online form: Click!
Greg Kiker, Professor at the University of Florida, visited the MARS Group from November 7-11 in Hamburg. The goal of this international cooperation is a comparison of different modeling and simulation approaches for savannah regions. These ecosystems have a substantial effect on the stability of the worldwide climate.
The various simulation models were run with similar input data and well-defined scenarios. These scenarios consist of respectively three different elephant population dynamics and water management strategies. It can be already forecasted that MARS KNP magnificently succeeded in this comparison. The results are to be published in high-placed journals.
In this week a total of 12 simulation runs were conducted and several model details adjusted, e.g. the distinction between rain- and dry season during runtime as well as some refinements in the elephant behavior. First promising results and collective events topped off this interesting week.