> For the complete documentation index, see [llms.txt](https://docs.envisioning.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.envisioning.io/radar.md).

# Radar

Everything around us is constantly changing and technology has a crucial role in this shift. Technology operates in an evolutionary, step-by-step process in which components and subsystems are gathered, nourished, refined, and reassembled in an ongoing process of improvement. To follow these steps, Envisioning is looking forward to stimulating the technological overall comprehension by providing a sophisticated concept in which technology is a tool created to solve problems.

The technological Radar is an interactive visualization tool that allows navigation between emerging technologies, each with a summary and description of the current state of development. Their position on the map reflects their level of maturity according to NASA’s Technology Readiness Level ([TRL](https://app.gitbook.com/@envisioning/s/envisioning/~/drafts/-LzMn7J31tsUzqsXATu9/metrics)), from 1 (the lowest level of technology maturation) to 9 (technology is already being fixed and incorporated into new systems).

The following video shows how to navigate the Radar through the lenses of the techDetector, a product from a partnership between GIZ and Envisioning. It assesses the footprint of emerging technologies on economic, ecological, social and political participation dimensions according to the 17 parameters of the UN’s Sustainable Development Goals.

{% embed url="<https://vimeo.com/370306432>" %}

{% hint style="info" %}
All the other radars we have previously developed in different partnerships follows the same navigation structure and have their own personalized assessment method. However, the navigation is still patterned according to the parameters set by Envisioning, as a common design ground that fits the schemes established by our editorial line.&#x20;
{% endhint %}

In order to illustrate some examples of projects we have delivered in the past years, you are invited to access our Radars over multiple sectors, such as:

{% embed url="<https://viz.envisioning.io/giz/>" %}

{% embed url="<https://viz.envisioning.io/neuromancer/>" %}

{% embed url="<https://viz.envisioning.io/wgs-citizenship/>" %}

{% embed url="<https://viz.envisioning.io/2001aspaceodyssey/>" %}


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.envisioning.io/radar.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.