Research Challenge Pools

We will present a series of research challenges to the community. Our challenges will have measurable endpoints of a problem that can be solved with the network’s AI and data, the result being a patentable and/or saleable solution that will become a Product NFT. The problem should be difficult but not impossible, and needs to have well defined criteria stated in advance, because people’s RJV tokens are at stake and they must feel they are being treated fairly.

There will be a research staking pool for each challenge, where people can stake their RJV utility tokens, and receive interest in accord with how long they have been staking. Whenever the challenge is met, which will be a surprise to the community, whoever is staked in the pool at the time of meeting the challenge will receive coupons from Rejuve that may be used towards purchasing the Product NFT shards of the product that won the challenge. The longer they are in the pool, the higher the value of the coupon.

This challenge can be for a patentable product, in which case part of the criteria for winning the challenge will be that the idea that wins the challenge is patentable (that is, new) and that it meets a clearly defined criteria, such as definite endpoints in phase 1 clinical trials, or perhaps a AI based criteria. Products like this can only be announced after a patent is filed so as to protect the property rights of the data contributors internationally (some places in the world grant property rights only for products not announced publicly).

In the case of the patentable solution, the idea could possibly be far enough in the future so that people would not be incentivized to stake now. To encourage them to stake now, we can give them a higher return, both in staking interest, and coupon value, the longer that their RJV is staked.

However, not all NFT challenges are based on products that are in the future. It is important to also have challenges that are solvable in the near term and at any time, so as to incentivize both data contributors to submit their data and to incentivize RJV stakers to stake now because the challenge could be won at any time and they want their RJV staked when a group of data contributors win it, so that they can get coupons.

Any challenge that we, or other network members create should have a clearly defined way of being met by an AI, such as a kaggle type challenge, and additionally should profit network members. One example is new personalized services on our app that our network members are interested in, such as beauty, preventing covid, or curing long covid. Individual software creators can work on the challenge and be part of the composition of software that our AI makes, that wins the challenge. Those who do not create software can create the challenges themselves. Those who create challenges would also fund the coupons, or if approved in a DAO there may be a reserved pool of funds.

As for the NFT challenges based on patentable drugs that may be future blockbusters, we will conduct the clinical trial with our members and our software ourselves. Patent worthiness will be defined to include both the common scientific standards for passing a clinical trial as reviewed by an independent IRB, that should be automatically performed by and validated by our app, and will also include the judgment by an independent patent lawyer that the result is patentable.

Labs such as Rejuve Tech will create the patent application and we will distribute coupons to those staked at the time in the research pool that can purchase product shards from those data contributors who together first met the challenge. Those data contributors will include network members and model contributors. We should present multiple challenges at once so we dominate the space before our competition copycats the challenges. These should include near term and far term (patent based) type challenges.

Patent-based challenges are for the community of science to make an AI or part of an AI ensemble of such quality that it can generate hypotheses that can pass the safety and efficacy requirements to IRB standards in a clinical trial and be new enough to pass an independent patent lawyers search criteria.

For each patent based challenge, the clinical endpoints will be determined in advance and should, across challenges, include measurable markers for example, for each of the hallmarks. They can also include measurable markers for things that affect the hallmarks such as inflammation. Product NFTs will be generated per hypothesis, not per endpoint, but the endpoints for a challenge will define the winner. These criteria will exist before the research staking pool is open.

The product NFT will be minted for the first solution that meets the challenge. Other models may also meet the challenge later and thus have product NFTs minted, but they will not be eligible to be bought with the research staking pool coupons. They will just receive their regular shards for when the patent is filed, making everyone a winner if they can get entrepreneurs to believe in their product at the point of patent filing.

Such challenges are beneficial to the models, the best of which depend on a variety of challenges to become more robust and general. Challenges also benefit and attract both modelers and data contributors, while at the same time models can depend on other good models to help them be part of a winning model ensemble.

An example of a non-patent based challenge is for supplement protocols that can be sellable products. Unless there is a way to own a protocol, these are not patentable by nature, but they are still good products. These types of challenges benefit supplement suppliers because they create an environment where combinations of supplements, or supplement regimes, increase interest in their products.

Personalized medicine recommendation products/protocols that use AI on network members data to make personalized recommendations are another area that may or may not be worth a patent, but are worth a product NFT. Winning models can feed into premium app features, for which modelers would receive token compensation.

In order to incentivize data contributors that have granted a license to a lab to use their data in studies, the lab can fund tokens that the data contributors receive when they first submit data. We happen to be one of the labs that will use the data, and so we are the first entity to pay up front for data.

**Note, this plan is subject to adaptation and change according to latest legal advice