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COMPUTING & AIINTERNATIONAL / OTHER✓ VERIFIED · LAST CHECKED 9 JUL 2026

Mission Space Lab

Rated Advanced, this international Astro Pi challenge is for teams of two to six young people aged 19 or under with a mentor. Teams write and test Python code that uses space-station sensor or camera data to calculate orbital speed. The main challenge is building a reliable scientific method, validating calculations and meeting strict program constraints.

Verified information

Competition details can change. Always confirm dates, eligibility and entry requirements on the official organiser's website.

Official website ↗

OVERALL COMPETITION LEVEL

Advanced Level

6 evaluation dimensions have source-backed automatic scores; 0 dimensions need conflict review.

01

Competition overview

Key information

Eligible ages

Up to 19

School level

Teams of 2-6 young people aged 19 and under, supervised by a mentor

Registration method

School or Individual

Competition stages

Mentor registration, Python program development, submission, flight-status assessment, ISS deployment, data/certificates

Fee

Free

Online / in-person

Hybrid

02

Dates

Competition timeline

Registration opens

14 Sept 2026

Registration closes

22 Feb 2027

Competition starts

Not yet announced by the organiser

Competition ends

Not yet announced by the organiser

03

Editorial perspective

Our Take

Mission Space Lab offers a rare constraint: the program is not merely judged—it may run on a computer aboard the International Space Station. Teams write Python to collect sensor readings or images, then use the resulting data for a space-science investigation. Every eligible program receives a limited orbital run, so reliability and scientific purpose have to coexist. The official guides allow original investigations or supported project routes. Teams test against historical mission data in the Astro Pi Replay Tool before submission. That simulator is not just a technical hurdle; it asks whether the chosen signal will vary enough to answer the question. The organiser warns that some environmental sensors change little inside the controlled ISS, while camera and motion-related data may be more informative. CompeteMap recommends Mission Space Lab to teams with basic Python experience and a mentor who can sustain a multi-stage project. The impressive outcome—code running in space—should not obscure the real work: choosing a measurable question, handling imperfect data and producing software safe enough for flight status.

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04

Preparation support

Recommended resources

  • Mission Space Lab Resources

    Open resource ↗

    Official hub containing the creator guide, worksheet, mentor guide and sensor, camera and data projects.

    Official · Free · Learning resource hub · Essential

  • Mission Space Lab Rulebook

    Open resource ↗

    Current requirements, permitted hardware and software, judging conditions and submission rules.

    Official · Free · Rulebook · Essential

  • Mission Space Lab Challenge Page

    Open resource ↗

    Official mission overview and timeline for designing an experiment that runs aboard the ISS.

    Official · Free · Challenge hub · Recommended

  • Mission Space Lab Replay Tool

    Open resource ↗

    Online environment for replaying a program against Astro Pi data before final submission.

    Official · Free · Code testing tool · Recommended

Source information

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