# Why/Vision/Principles

#### WHY&#x20;

* Students in Taiwan rarely get a chance to experience the global tech scene and are unaware or disconnected from global resources. (e.g. [Very few Taiwanese teams are seen in YC](https://meet-global.bnext.com.tw/topic/view/32)).&#x20;
* We believe giving students exposure to the atmosphere and talent of a global hackathon can greatly expand their horizons at a young age, where dreaming big and exploring more possibilities can dramatically change a student's life trajectory.&#x20;
* Other than deepening technical understanding through mentorship, we also believe having the right value-aligned mentors with high integrity is critical to a student's character growth and decision-making maturity.

#### VISION

* We want to create a culture of giving back and design a structure/mechanism that creates a positive feedback loop that is open, fair, and long-term sustainable for future generations beyond the initiators and operators of this fund.&#x20;

#### PRINCIPLES

* **Transparency** - Everything will be documented on-chain, fiat will be converted to on-chain assets transparently along with financials/votes/decision making process. Transparency must be a **HARD** default to guarantee the highest amount of trust and accountability by the public.&#x20;
* **Giving Back** - The success of this program depends on donors giving back to society, mentors giving back knowledge/experience, and students also giving back after attending the hackathon to the next generations and beyond.


---

# Agent Instructions: 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://taiwan-students-glhf.gitbook.io/taiwan-students-glhf/taiwan-students-glhf-global-learning-hacking-fund/why-vision-principles.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

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.
