Choose a well-documented object from a recognised public catalogue and collect its observation and orbit references.

Near Earth Object Mapping
Help observers turn asteroid measurements into clear, traceable understanding of objects near Earth.
Follow the connections. Choose your direction.
The need worth working on.
A moving point in a telescope image becomes useful knowledge only when measurements, timing, uncertainty and follow-up connect. This venture could help learners or small observatories understand that process. It should contribute to established scientific practice, with any hazard assessment left to the appropriate specialist systems.
What the enterprise could offer.
Build a public-data explorer or observation-preparation service that shows how an object's estimated path changes as evidence improves. Keep original catalogue identifiers and measurement provenance visible. Women leading the project would manage scientific quality, user education and the relationship between an engaging visualisation and an honest statement of uncertainty.
People to build with
- Astronomy educators
- Amateur or research observatories
- Planetary-defence learners
Follow one object's evidence trail
Create a visual timeline showing additional measurements and uncertainty rather than only a smooth orbital line.
Have an astronomy specialist check coordinate, unit and time handling.
Test whether learners understand the difference between an observation, a fitted orbit and an impact-risk assessment.
The first result
A reproducible public-data story and a checked observation-planning prototype.
What needs to be demonstrated.
Practical pilot
The starting evidence
NASA describes an established process of discovery, follow-up measurements and orbit computation. This concept would build on that work.
The open question
Which gap an additional tool can fill for a particular observatory or learning audience.
The next measurement
Reproduction of reference values and user understanding of uncertainty and data age.
Build the means to deliver.
Useful capabilities and resources
- Recognised public orbit data
- Astronomy and software expertise
- Clear provenance records
A possible business model
Explore an educational product, commissioned visualisation or observatory workflow service, with the customer and scientific review costs identified early.
A leadership decision to practise
Decide which results the team is qualified to interpret and which require referral to established monitoring services.
People, consequences and decisions.
- A visual close approach could be misread as an impact threat.
- Incorrect time or coordinate conversion can corrupt results.
- Outdated records can give false confidence.
If equality were being designed now...
- Can regional women and learners use the object explorer with ordinary equipment and accessible explanations?
- Are women given scientific interpretation and data-quality authority as well as public-communication work?
Begin with women's own experiences across bodies, ages, cultures and places. Invite disagreement and choose a practical change together.
Create a women-led design brief →Build your learning council.


Aura, a transcultural intelligence archetype
Bring the parts into a system people can trust.

Build alongside these ideas.
Make space-weather observations easier to compare, explain and connect to operational decisions.
Research frontier
Work backwards from a useful observation to the smallest satellite network that could provide it.
Research frontier
Make radiation protection decisions traceable to an exposure scenario and evidence.
Research frontier
Follow existing public concept work.
Design a possible network of satellites using interactive orbit, sensor, launch and communications tools.
From the original suggestion to a working brief.
Original concept from 500 Queens VC NEW Long, slide 15; current context from the September 2026 planning document. This expanded brief and pilot are proposed development, not evidence of an operating enterprise or confirmed partnership.
Original title: Near Earth Object Mapping. The pilot, business model and learning connections on this page are proposed developments of that original idea.
