Today, all our urgent problems, climate change, the breakdown of capitalism, inequality and political instability, racism, wars and epidemics have a major global impact. They demand a local as well as a a global perspective, global coordination and global action.
For the first time in human history we have with our digital technologies an opportunity to build earth's digital twin for assessing, discussing and solving our problems on a global scale.
GaiaSim aims to become earths geographical Wikipedia, building a virtual twin planet where everyone can participate, provide and connect data to enable a global perspective on our planet.
Structured like a geographical Wikipedia, Gaiasim relies on voluntary domain experts who curate and check data in their expertise as well as update the data and connections in their field, either through static or dynamic data feeds. Everyone is free do edit geographical blocks and add or correct data, ultimately controlled by domain editors.Learn more
Currently, we are developing the geographical connected data framework, organized like a global connected graph. This data framework will be the basis for participants to add data and information. The main framework is based on the NASA WorldWind virtual globe, that is based on 3-dimensional geographical blocks, constituting a connected domain layer, for example for climate data.Learn more
Apart from a small group of coordinators, Gaiasim is a non-profit organisation, funded by donations and sponsors with the sole purpose to establish and grow the platform for a global perspective. Fundamentally, the participation structure of Gaiasim is divided into the levels of the work for the framework as well as for data provision and control.Learn more
GaiaSim platform developers form the core team that is working on establishing and improving the central simulation platform. This is the virtual globe of planet earth and is designed to allow to integrate, visualize and analyse simulations for everyone.
Contributors build and integrate their simulation projects based on the GaiaSim spatial simulation framework. All simulations on GaiaSim are public and can be visualized, discussed and analyzed by everyone. GaiaSim will also allow to combine and build on other simulations.
Sponsors offer their financial support to move the project of simulating planet earth forward. Our sponsors care about the future of our planet and the exploration of possibilities to move the needle to the better. All funding is used for the support of the platform.
GaiaSim partners identify deeply with the goal of simulating earth to keep our societies and the planet alive. They offer their support and influence for the common cause and move the project forward on many fronts. We very much value their help.
Alex is a simulation executive since over a decade and founded the simulation company Savannah Simulations AG in 2005. His passions are to bring simulation to the mainstream and to increase the value of simulation for policy.
As a computer scientist, Benjamin's primary interest are multiagent systems and simulation research. As the technical brain of GaiaSim, he oversees efficient modelling and simulation technologies, methodologies, and analysis techniques.
The community of developers, experts and users lies at the heart of GaiaSim. Katrin has a broad experience in managing communities, supporting commitment and establishing common guidelines to succcessfully lead the community to its goals.
We are always looking for passionate developers, supporters and users who wish to become part of the earth simulation project.
As a physicist, former climatologist and simulation oceanographer, Manuel’s major interest are simulated worlds and its climate, hyper complex systems and Deep learning. His todays job makes him an expert in data analysis, simulation technologies and artificial intelligence.
James is a broadly trained geographer and landscape ecologist with expertise in developing bespoke modelling tools to investigate spatial ecological and socio-economic processes and their interaction. He is also an expert in agent-based modelling of geographical systems.