# What is 3six9 Cognitio? 3six9 Cognitio is the 3six9 Innovatio research and education wing which is currently researching on a variety of topics such as undercollateralized loans, zkKYC, optimized stablecoin designs and much more.\ \ Our team of researchers and content writers work in tandem with 3six9 Core Team. The goal is to have an in-house team to cover all of 3six9 needs with regards to content, impactful research and analysis that we can leverage when building out our products, as well as pushing interesting research papers for our community. Our goal with 3six9 Cognitio is to also build out a central hub for all things crypto. We aim to build a place where it's easy to learn about the complex crypto space in a digestible way. Onboarding and welcoming new users to the space is important to us. As well as keeping our community up to date with the latest Open Finance related trends and providing you with alpha. ## **Research** The 3six9 Innovatio research and education wing which is currently researching on a variety of topics such as undercollateralized loans, zkKYC, optimized stablecoin designs other interesting topics. ## **TGLOF** 3six9 Cognitio is also working on a classified project dubbed "TGLOF" which is an educational hub for everything "crypto". Think of it as the "Urban Dictionary of Crypto" or "The Crypto Libgen". We aim to release TGLOF as a free public good. ## **Educational Bootcamps** Lastly, the greater vision for 3six9 Cognitio is to organize and operate in-person free educational bootcamps related to blockchain technology and crypto for talented but underprivileged youth primarily in developing nations. --- # 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://3six9innovatio.gitbook.io/documentation/3six9-collective/what-is-3six9-cognitio.md?ask= ``` 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.