We are developing the digital commons of knowledge embedded in education, science and technology. The expanded taxonomy and providing economic incentives for researchers is the innovative solution of our DeSci project to deal with the public goods dilemma. Furthermore, EdRes systematizes scientific knowledge into a database for its effective processing and use by generative AI. 
EdRes users can: 
1)study and create education content (K-20). 
2)share science in our social network and collaborate in communities and become member of Science DAOs. 
3)get financed through a retroactive funding pool by our native knowledge backed token. 
With implementation of blockchain and AI, EdRes provides: 
1)Motivation and gamification to study and incentives to share the knowledge in the form of courses. 
2)Our social network to be able to gather, process and commercialize the data, as well as the efficient functioning of Science DAOs in various science disciplines to verify and evaluate users' proposals. The users share their science researches that would be verified, processed and used for training our AI. Then researchers in science and technology can use our AI to define and examine new hypotheses, find applicable experimental data and collaborate in communities to solve tasks.  
3)research financing based on the users’ applications evaluated by the Science DAO, issue of NFT collection and finance attraction using our modified retroactive funding pool mechanism.