Portal:Complex Systems Digital Campus/WWW DAO Website project

Slide 2

Summary: Dapps will create a huge mass of decentralized personal data under the control of their owners according to the European GDPR. Only Science can release the huge added value of such personal data. The Complex Systems Digital Campus (CS-DC UNESCO UniTwin) is creating the WWW DAO with its WWW Dapp integrating all ‘mutual wellbeing Dapps’ as coined by the 17 UN SDGs (Sustainable Development Goals for 2030). The WWW Dapp produces for each individual her rich personal data trajectory, a capital called a DaD (‘Dapp Data’) under the new ‘ethical’ smart contract: ‘sharing personal DaD with science for a social learning providing personalized advices for better mutual wellbeing’. Such social learning creates a knowledge accelerator. Commerce stakeholders have a benefit to engage themselves inside this knowledge accelerator through another ethical smart contract: ‘paying a wellbeing VAT for releasing with Science the huge added value of its client smart DaDs for its living wellbeing roadmap designed with its clients’. Such living roadmap can still be enlarged in direction of the supply chains of the commerce stakeholder. At 2030, the value of the DaD can be estimated to 20000€ in developed countries: this value is used for the DAICO. It is then expected that the wellbeing VAT will pay the working time at its standard value by becoming a social norm in each country: in such case, the WWW revenue for each individual at each age will be like a universal revenue.

The CS-DC is a UNESCO UniTwin (“University Twinning”), i.e. a network of Universities having signed with the Director of UNESCO a Cooperation Programme for launching worldwide a new scientific discipline. The Complex Systems Digital Campus is the UNESCO UniTwin devoted to share all the resources for launching complex systems science. This network has 130 Universities in all continents, one order of magnitude more than the other UNESCO UniTwins. The objective for the two next years is to have more than thousand universities covering all countries.

Slide 3

Miss X produces her WWW Dapp personal data trajectory through her working time, called a DaD (‘Dapp Data’). As a member of the WWW DAO.territory, she has signed the new ‘ethical’ smart contract: ‘sharing my personal data trajectory with science for a social learning providing personalized advices and to receive my DaD added value for my working time’. Such social learning creates a knowledge accelerator through the virtuous cycle between personal empowerment and the enhancement of the scientific Knowledge Map including Knowhow.

Any stakeholder of the territory has a benefit to engage itself inside this virtuous cycle through another ethical smart contract: ‘designing with my clients a wellbeing roadmap and releasing for this roadmap with Science the huge added value of their personal data trajectories’. Such living roadmap can make necessary to enlarge it in direction of its supply chains. It is also a benefit for each stakeholder to diminish its own wellbeing VAT with the wellbeing VAT paid by its supply chains.

The economy of the knowledge accelerator for mutual wellbeing is then as follow: Each stakeholder is paying the knowledge accelerator through a ‘wellbeing VAT’ that can be diffused in its supply chain as it is usual with a VAT. Its WWW DAO.country is using the ‘wellbeing VAT’ of all stakeholders for paying the added value by Science (20%) and the rest (80%) for members proportionally to their DaDs (working time in a limit of the 9/10 decile for avoiding exagerated time) after deduction of their Ethereum micropayments. This proportionality is fixing the value of the DaD per hour.

Slide 4

1.	The most strategic indicator is the salary %. The curve (1/600 to 1/60 mean salary in the country) represents the strategy for the next ten years in any country for: i) making a smooth transition with the (final trade) stakeholders that will provide all resources after signing its negociated roadmap for mutual wellbeing, ii) financing sufficiently the WWW Dapp and its customization for territories and the micropayments for a free use of Ethereum shared decentralized tools and iii) for the reimbursement of the initial investors 2.	The WWW DAO a social network much more efficient than any other as including: i) free social network like Telegram and free tools for covering all collaborative needs ii) the WWW Dapp for social learning toward mutual wellbeing and iii) strict privacy and much more secure, trustable, fluidic transactions. The 600M members in 10 years are underestimated: The WWW DAO is very closed to a lot of organisations in the World like the International Co-operative Alliance (ICA) with its 1.3B members or like Open Governmental Partnership (OGP) of 70 countries. 3.	The product of the two above curves gives the world wide annual incomes of the WWW DAO. The ‘doubling reimbursement’ of the DAICO investors is not a problem comparing to the expected income in 2022. If not sufficient, this curve allows a new DAICO with the ‘same doubling rule in 3 years’. After 2014, the number of scientists (20%) is more than 1Million, i.e. 50 in mean for each of the 20000 universities in the world. The curve is twice underestimated because the 2nd curve underestimation and because the first one is due to an economically neutral VAT that can be generalized country after country as part of a universal revenue.

Slide 5

The 17 SDGs of United Nations and their 169 targets for 2030 are well equilibrated between ecological, social and economical objectives toward an Eco-Socio-Economy of mutual wellbeing between humans and with Nature. They are acting in the same direction as some deep emergent forms of economy like the circular, the green, the blue, the sharing, the wellfare Economy. The 17 SDGs are the following: 1. No poverty, 2. Zero hunger, 3. Good health and well-being, 4. Quality education, 5, Gender equality, 6. Clean water and sanitation, 7. Affordable clean energy, 8. Decent work and economic growth, 9. Industry, innovation and infrastructure, 10. Reduced inequalities, 11. Sustainable cities and communities, 12. Responsible consumption and production, 13. Climate action, 14. Life below water, 15. Life on land, 16. Peace justice and strong institutions, 17 Partnerships for the goals. The 169 targets poster is including the interactions between the SDGs.

Slide 6 1. EE-MRIO footprint matrices are calculated today only top down by taking the quantitative sectorial input, output and footprints with Nature as the division of their financial value by their mean prices. Results for 43 countries can be found in the exiobase 2. With the WWW DAO, the footprints will be calculated bottom-up and their means in a sector will be weighted by the quantities. Such computation needs the 2nd internet revolution and protocol like ERC20 for each kind of material footprint (metals, fossil energy, CO2, water, soil occupation,, ..) or social footprints (high quality food, disease, neuroleptic, suicides, baby education and lifelong education, ..). A lot of impact lines have here to be added to the EE-MRIO matrives for the social footprints.. 3. The emergent initiatives toward the Eco-Socio-Economy are stronger and stronger, like the circular, green, blue, sharing, wellbeing Economy..

Slide 7

Each territory is ‘smart’ in the sense of ‘going in the direction of the 17 UN SDGs’, i.e. with footprint matrices more aware with Nature and the Social smart household smart farm smart village smart factory smart building smart city smart region smart country The examples and pictures have to be adapted to each region.

Slide 8 The generic WWW Dapp will be developed by using all the scientific work about the 17 UN SDGs and the 165 targets. A special attention will be done a) to the content of each one and b) to the description of the interactions between them. The customization of the WWW Dapp by any WWW DAO.territory is at least: 1.	taking into account the languages of the regions of the world, including those of primary people that are covering a large part of the continents and contains a great biodiversity. 2.	Needing to order the SDGs and targets adapted to the territory priority 3.	Needing an order of the topics in the ‘integrated Knowledge Map’ (iKM) adapted to the territory priority This customization (next figure) will represent an effort one order of magnitude more than the implementation of the generic WWW Dapp.

Slide 9

The WWW DAO will be decentralized through continents, federal states, states, regions, towns and villages. Each WWW DAO.territory will have its customized WWW Dapp.territory.

Each WWW DAO.territory has to strongly involve its nearest universities and all kinds of governmental and non-governmental organisations for enlarging as quickly as possible the number of its members. Priority will be done to non-profit organisations and to the commerce sector

The commerce sector is indeed the place that connects all individuals with the main stream economy and will bring the main revenues to the WWW DAO. The WWW DAO is creating a new relation between consumers and vendors, inspired from the VRM paradigm coined in Harvard: VRM stands for Vendor Relationship Management. VRM tools, implemented as Dapp, provide customers with both independence from vendors and better ways of engaging with vendors. Non-profit organisations like cooperatives, associations, fondations will open for the WWW DAO the door toward the new circular, green, blue, sharing, wellbeing economy. The International Co-operative Alliance, representing 1.3B co-operators, is involved in the 17 UN SDGs since its international submit of Québec in 2016

Slide 10

1.	1.(privacy & identity) Any individual is the alone owner of its personal data according to the new ethics on personal data, e.g. as coined by the GDPR European Regulation. Her data are signed by her ‘digital identity’. The ‘digital identity’ means a ‘trustable identification’ by any personal device, e.g. double checking, digital footprint, face recognition. Her data trajectory is encrypted and stored in IPFS (InterPlanetary File System) for personal ones and in Nano S blockchains for transactions (signed by 2 or more individuals or DAOs). Thus the signature process is generalizing the ‘identity & privacy with n individuals’. No other copy exists except in IPFS for personal trajectory recovery. 2.	2.(Best social reinforcement learning method) The RAPSODY Dapp contains the incremental machine learning methods of personal trajectories, like summary statistics or Recurrent Neural Network (RNN). Incremental methods means not only up-to-day updating but also strict privacy respect (no need of copying data). The best method is minimizing the gap between the advice trajectories and the personal choice trajectories (ideally, each personal choice is inside the list of ranked choice advices). At each territorial level, an annual Olympiad selects the best method proposing the “best personalized advices for the next difficult situation’. ‘Best’ is here the result of the Olympiad Proof of Work (PoW) and the Proof of Authority (PoA) of its scientific committee. In what follows, it is supposed that the RNN method has obtained the first Prize. 3.	3.(smart contract of individual) Each individual is sharing her personal trajectory (her ‘DaD’, the new token) and, in exchange, she can enter her present difficult situation in the up-to-day RNN for obtaining best personalized advices as depending from her personal trajectory. As a consequence, the WWW DAO.territory has the ownership of the best RNN, thus shared between scientists and data owners. 4.	4.(accelerator of social and personal knowhow and knowledge) The virtuous cycle between smarter & smarter personal strategies and social learning provides the quickest acceleration of the scientific knowhow and knowledge. This acceleration will be represented on up-to-day “integrated Knowledge Map“ (iKM). The personal trajectory on this iKM constitutes the “personalized Knowledge Map” (pKM). The KM Dapp (iKM+pKM) is using new methods from statistical physics: the figure shows the Knowledge Map of the ‘condensed matter’ as an ‘onion’ with 24 layers (Pol Colomer-de-Simón & al.).

Slide 11

1.	Involving stakeholders: Mutual wellbeing with the 17 UN SDGs is not only the result of own personal life or personal relations with others but also of personal consumption. And personal consumption is not only a relation with the trade sector (e.g. food or any kind of objects, machines,..) but also with all the supply chain converging to the trade sector. Thus all kinds of stakeholder are welcome with some priority with the trade stakeholder. 2.	Sharing mutual wellbeing roadmap with stakeholders: The smart contract between a WWW DAO.territory and a (trade) stakeholder is starting with a shared roadmap on the mutual wellbeing aspects of the relation. The bargaining on the roadmap can be catalysed by the new way of aggregating social choices with the SIRE Dapp (Socially Intelligent Roadmap Ecosystem): the MAJ Dapp is using the unique consensual middlemost fmaj for grading and ranking DAO choices by the DAO members. Such roadmap has to find an adaptive Nash-Pareto strategy (cf next figure) implemented in the customized smart contract and DaaD (Dapp as a service) for the stakeholder and paid by him. 3.	Sharing scientific studies on mutual wellbeing: The smart contract fixes also the agreement on the scientific studies on mutual wellbeing for the stakeholder and its whole sector. For example, it can be the statistical comparison between the smart personal trajectories of the stakeholder customers and those of all its competitors in the same territory: such comparison can be updated each day and is predictive. Note: The MAJ Dapp is used everywhere in the WWW DAO: •	For SIRE and roadmap design, it is ranking all kinds of DAO choices. •	For learning new topics in the iKM (Integrated Knowledge Map) that is updating the pKM (personalized Knowledge Map) it is ranking the topics difficulty and the learner strength (symMAJ Dapp) •	For launching an innovation in a territory, it is ranking the innovation difficulty and the territory innovative strength for this innovation (symMAJ Dapp) •	For the social reinforcement learning with RAPSODY, it is ranking the member strength (like ELO points in chess) and the situation-advice difficulty (symMAJ Dapp).

Slide 12

1.	Properties of the Social Reinforcement Learning: Social Learning has the same properties as in the Health System: the PoA of physicians is played here by scientists and ‘tutors’ with their cascade of expertizes. This strategy releases clearly on the Pareto front, because no other strategy can provides better advices. It is a Nash strategy because anyone has interest to be involved in case of a future difficult situation (like for health). It is a cooperative strategy because the learning method is anonymous. It is a Rawlsian strategy by construction because it is mainly a service for those having the most difficult problem. It is finally the most adaptive because it provides the quickest accelerator of knowledge. As a result of all these properties, Social Reinforcement Learning is not only the unique static attractor on the Pareto front (the present mutual wellbeing attractor) but also the unique adaptive attractor because the Rawlsian convergence property toward healthy trajectory and because of the sharing of the quickest knowhow & knowledge accelerator. It is an Adaptive Rawlsian ESS. 2.	Extension of the Nash-Pareto to the relation with the commerce sector and its supply chains: from the above, the WWW DAO is de facto adopting the principles of the Vendor Relationship Management (VRM) proposed by Harvard University: the two main principles are customer independence from the vendors and their best ways of engaging with vendors, especially about the management of data along supply chains, WWW DAO has this independence to conduct with science all the studies for a better mutual wellbeing, because it has the monopole of personal trajectories and of consensus organisation along supply chain. It has thus the strength with any smart stakeholders to shift the Nash-Pareto strategy toward this better mutual wellbeing. That is also true along the supply chains until commerce stakeholders. Such strategy is an adaptive ESS (Evolutionary Stable Strategy) that forces the stakeholder convergence where the competition between stakeholders in each sector becomes more a coopetition between them for mutual wellbeing: coopetition like in sport means organisation of prizes in each sector. Thus the property of Adaptive Rawlsian ESS propagates along supply chain to the whole Eco-Socio-Economy under the pressure of citizens.

Slide 13

1.	 (properties of the Social Reinforcement Learning for members) This strategy has the same properties as a Health system where the PoA of physicians is played by scientists. This strategy releases clearly on the Pareto front, because no other strategy can provides better advices. It is a Nash strategy because anyone has interest to be involved in case of a future difficult situation (like for health). It is a cooperative strategy because the learning method is anonymous. It is a Rawlsian strategy by construction because it is mainly a service for those having the most difficult problem. It is finally the most adaptive because it provides the quickest accelerator of knowledge. As a result of all these properties, Social Reinforcement Learning is not only the unique static attractor on the Pareto front (the present mutual wellbeing attractor) but also the unique adaptive attractor because the Rawlsian convergence property and the sharing of the quickest knowhow & knowledge accelerator. 2.	With the last figure and its comments, we have seen how the WWW DAO can organize inside the supply chains adaptive Nash Pareto strategies between members and stakeholders toward mutual wellbeing. Such strategy is an adaptive ESS (Evolutionary Stable Strategy) that forces the stakeholder convergence, even if the competition continues between stakeholders in each sector.

Slide 12 2.	The traditional theory of social choice offers paradoxes such as those of Condorcet’s or Arrow’s. The theorem of Arrow says that, for more that two choices, there exists no aggregation function of individual choices except the preference of one individual, the ‘dictator’. Such impossibility is consonant with a ‘centralized society’. In the Arrow’s approach, the voters are directly ‘ranking’ the competitors, in a vertical way. In the Majority Judgment of Balinsky and Laraki, the voters are first ‘grading’ the competitors that are then aggregated by an ‘order function’ into a ‘social grading’ of competitors: then the social grading is directly providing the social ranking. ‘Order functions’ have very nice equivalent properties, e.g. ‘minimizing the manipulability’: ‘equivalent properties’ means that if you have one, you have all the others. The ‘middlemost functions’ inside the order functions have supplementary very appealing equivalent properties, e.g. maximizing welfare or minimizing the lexi-probability of cheating. Finally fmaj is the only middlemost that respects consensus. The Majority Judgement in WWW DAO is using fmaj. For large jury, all the middlemost functions collapse with fmaj. The Balinsky’s and Laraki’s approach open an highway toward the decentralized society. It is expected that the work with the DAICO investment committee will create some blogs and working groups generalizing the experience of the WWW DAO toward the decentralized society. 3.	The 2nd internet revolution is the way to decentralize all computation as if we are interacting with a single informational ecosystem. The Majority Judgment is the way to decentralize huge human organisations. As seen above, these two opportunities are opening a highway for an Adaptive Rawlsian ESS propagating along supply chain of the whole Eco-Socio-Economy under the pressure of citizen world wide wellbeing. Simultaneously, the territorial structure of the WWW DAO is de facto organizing equity and sustainability toward multilevel smart territory and mutual wellbeing.

Signatures (photo, position, domains, 5 lines)

Annexes 1.	It has also to be noted here that the strong multilevel structure of the WWW DAO is solving the ‘sharding problem’ by proposing ‘linear blockchain’ like in Nano S: thus the response time for writing the transactions on blockchain is very quick. 2.	List of basic Dapps •	Majority Judgment •	MAJ Dapp •	AntiMAJ Dapp •	symMAJ Dapp •	Qualified MAJ Dapp •	SIRE •	RAPSODY •	iKM 3.	List of Flagships •	PHYSIOMES •	POEM •	FOOD •	TIMES •

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