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The development of space technology is moving faster now than at any time in the past 50 years and space will continue to have a profound effect on humanity. Space offers vast opportunities, whether it’s delivering connectivity to transform the lives of over 3 billion unconnected people, changing the way we manage the trillions of devices that will form the internet of things or exploring the universe.

Your mission - in only 24 hours - is to create an app/piece of software/program mixing space technology with the adequate coding. You’ll form a team made of a wide variety of people and skills to create innovation out of this world!

In case your need our guidance for your mission… There are no limitations to your tool set and creativity. Note that following example missions are offered only to help you brainstorm! Your creativity is what sets the boundaries. Ask an SES rep / organizer if you need support!



1. Spectrum optimisation of traffic and satellite connectivity

Spectrum and frequencies are a limited resource that satellite operators must use in an optimal manner to deliver quality services. With the advances of technology some dynamic optimisation can be attained. Example sources for open data:

2. Use open available data to create a superior customer experience for satellite customers.

  • For example, predict the popularity of content (movies, music, etc.) so that it can be pre-cached as close as possible to customers for faster consumption.
  • OR predict weather conditions (like storms) when they are about to disrupt operations on a satellite gateway and the satellite operator can switch gateway and avoid service disruption.
  • OR, crunch social media information and run sentiment analysis to predict service degradation of a satellite operator.  

3. Planet Express – Easy identification of cube and nanosatellites.

Data fusion algorithm for quick identification of cubesats at separation.

Small satellites (Cubesats) identification for Debris management is a growing concern and identification and tracking of Cubesats is a challenge. Use data from different sources to classify and identify Cubesats, including Orbital Elements, Tracking Data -Observations, Videos/Images, S/C properties, General Info available about the Cubesats.

Write up code for a solution which helps identify Cubesats by Video or image recognition, orbit, properties and classifies them for known objects.

Databases with Cubesats can be found in open access.

Access these sources of Cubesat information in a Data fusion algorithm and make the information available to support identification and tracking applications of Cudesats.

– Ask us for more information about this ready-made case


1. Simulate a mission of a rover landing on another planet using computed graphic visualisations

Demonstrate and simulate the feasibility of a mission to the moon of a 50kgr Rover. The feasibility of the mission should be assessed. The different phases of the mission should be defined, computed and simulated, the launch and landing mission stages visualized.

Objective 1 – Realistic graphical 3D visualization of the rocket launch and the moon rover landing stages

Objective 2 – Detailed calculation of the mission stages, including the different rocket burn stages, the fuel requirement, the dimensions of the rocket stages and the trajectory of the rocket and rover considering with accurate physics and as many space physical aspects as possible, solar winds, gravity, relativity and all other aspects.

2. Break the barriers of time and space creating interplanetary communications using AI

Use free accessible databases of stars Atlases and Universe repositories, such as for example: Digital Universe Star Database (such as for example the freely accessible one: or or other similar databases) with the goal to implement innovative applications that help navigate space (coordination system for space travel) or to plan interstellar travel.

Create a Universe Coordinate System and Positioning system by using the Atlas of stars and map out a spacecraft’s position using images of stars in different directions.

You may combine this challenge with the first challenge to simulate a mission of a rover landing on the Moon to use the localization within the mission control of the spacecraft.

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