SIMOC featured in Planetary Society ‘Wow of the week’!

“With the SIMOC web interface, you can design your own Mars habitat and then run a simulation to find out if your astronauts would survive. By choosing life support systems, crew quarters, plants to clean the air and provide food, and more, you can learn a lot about just how complex and delicate extraterrestrial habitats are.”

In the weekly Planetary Society Downlink news update, SIMOC is featured as the Wow of the Week, Read the full post …

By |2020-07-15T19:33:09+00:00July 3rd, 2020|Categories: Publications|0 Comments

SIMOC Publication at ICES 2019

At the International Conference on Environmental Systems (ICES) 2019, Kai Staats, project lead for the Interplanetary Initiative pilot project SIMOC will present the procedure and findings of the barley growth experiment conducted at the Biosphere 2, Feb-Mar 2019, with an emphasis on the non-linear functions developed for SIMOC.

ICES 2019, July 7-11, Boston Omni Parker House
ECLSS Modeling and Test Correlations
ICES-2019-368, Wednesday, July 10
Download the Publication

Title: An agent-based model for high-fidelity ECLSS and bioregenerative simulation.

Abstract: Mathematical models can combine baseline assumptions about relatively simple, real-world systems into complex simulations, providing researchers with access to otherwise difficult to build or cost prohibitive environments. An agent-based model (ABM) employs the actions and interactions of individual and collective, autonomous agents such that their behavior, when allowed to unfold over a specified time, may exhibit non-linear, dynamic, and probabilistic behavior. SIMOC (a scalable, interactive model of an off-world community) is a Python agent-based model with both a research and educational component, developed to simulate hybrid ECLSS and bioregenerative closed systems, as those considered for long-term human habitation of the Moon or Mars. The SIMOC web-based agent editor enables rapid design of new agents to approximate real-world systems. While SIMOC was built upon data for both humans and plants extracted from the NASA Baseline Assumptions and Values Document, this publication sees first application of this novel approach to modeling the growth cycle of a single plant species in a semi-sealed, controlled environment, from seed to harvest, tracking air temperature, relative humidity, PAR, carbon dioxide, water run-off and biomass accumulation.

By |2019-07-02T06:22:38+00:00June 29th, 2019|Categories: Publications|0 Comments

SpaceTalk, The Next Generation

In SpaceTalk, The Next Generation, February 2019, the magazine for the all International Space University Alumni, SIMOC is featured! In this 7-page spread, the story of how SIMOC got started through the first two phases of development is told. Read the full publication at

By |2019-10-05T15:53:58+00:00February 15th, 2019|Categories: Publications|0 Comments