View source for Meta University

Imagine an idealized learning space, where all learning activities and organizations are universally allowed to interact, welcomes everyone, regardless of their social status or their funding availability, just the willingness to learn! Meta University([[MU]]), as an idealized universities<ref>{{:Book/The Idea of a University}}</ref> is based on the principle of [[data-centric knowledge]], intended to be universally applicable to all learning organizations.
It is freely available to anyone and welcomes contributions from everyone! 

To accommodate the uniqueness in everyone's learning trajectory, [[MU]] unifies learning activities in a data-centric principle, where knowledge, information, and domain-specific data are universally connected through the science and technologies of data. This data-centric strategy of intellectual framing, will help operationalize the attainment of [[truth|logical truth]] based on observable data, which can be recursively pursued and validated using the trascending notion of [[Universality]]!

= What is the purpose of [[MU]]? =
The purpose of [[MU]] is to offer the opportunity to acquire [[data-centric knowledge]] for all, recognizing everyone's uniqueness by using [[data-centric knowledge]] to shape [[individualized curricula]], and observe their own capacity with [[privacy-respecting learning assessments]]. Professionally, we hope [[MU]] will engage with anyone to apply [[data-centric knowledge]] to all fields of applications.

= How does [[MU]] work? =
The societal trend of [[digital transformation]], sometimes called the [[4th Industrial Revolution]], are begging for a major update to existing educational practices, because a broad range of disciplinary knowledge and skills must be made available to a much larger bigger crowd, at a much faster rate, with much lower initial costs. 
==Core Curriculum of MU==
Most importantly, it also needs to provide a coherent [[core curriculum]], which must be universally adaptable to various social and economic contexts. 
===Customizable Content===
As all subject matters evolves with more knowledge content, the mastery of subject content will necessarily rely on the learning/teaching experience of prior learners and teachers. Therefore, [[MU]] uses [[PKC]] to capture the learning experience, and allowing individuals and teams to publish their strategies and anecdotal records in how learning hurdles could be tackled. Moreover, effective learning practices are often context sensitive, and therefore unique to each individuals. Given the law of large numbers, the same kind of learning obstacles might have already been explored in the past. Therefore [[MU]] serves as an digitally-enabled online data agency to help share data content to tackle this extremely challenging to offer a scalable solution in place of the traditional brick-and-mortar school systems.
===Data Content Ownership===
Having this imminent social demand in mind, [[MU]] is a [[decentralized governance protocol]] designed to organize intellectual consensus based on [[data-centric knowledge]]. Operates in a decentralized fashion, everyone may administer one's own [[Personal Knowledge Container]]([[PKC]]) as a consensus-shaping semi-automated agent to offer data services with the following properties: [[Intuitive data presentation|data representation]], [[effective data processing|data processing]], and [[High Availability|high-availability service]]. The external presentation of [[MU]] is a human and machine processable language, represented by a set of [[hyperlink|relationally defined vocabulary]] that are universally accessible through an online library, that offers publicly updatable content-sharing services. The process of engaging everyone, including students and teachers around the world to collaboratively refine a publishable space of [[data-centric knowledge]] should help improve knowledge dissemination and content accumulation universally.

= Who can attend [[MU]]? =
[[MU]] subscribes to [[Open Source Software]] ([[OSS]]) principles, and utilizes the code base and [[namespace]] definitions of [[MediaWiki]]/[[Semantic MediaWiki]] to operationalize [[metadata]] management, so anyone who registers an account on [[PKC]]-compliant data service can engage immediately. The learning process allows anyone to make progress on their own, while allowing cross-reference across other personified avatars or agencies using [[time]] as the global variable to measure learning progress, encouraging independent discovery, self-driven merits, and objectively-traceable experience, in contrast to traditionally-administered tests and subjective grades. More specifically, users of [[Digital Literacy Scale|different technical literacy scales]] and [[capacity of learning]] can all find their respective entry points to start engaging with the learning activities with [[MU]]. [[MU]]'s participant categorization is shown below:
{{:Digital Literacy Scale}}

= What can be achieved by joining [[MU]]? How does it differ from existing Universities? =
By managing knowledge through personally-administrated data exchange tools, [[MU]] helps individuals and organizations to acquire data and content knowledge relating to [[merit]]s, [[capacity of learning]], [[self-governance]]/[[self-discipline]], [[social exchange]]s, and [[personal scope]] that existing education system have not been able to formulate at the Internet-scale. In contrast, [[MU]] enables individuals and organizations to gain automated access to unrestricted collection of data content, and retain content within privately operated knowledge containers. This knowledge dissemination and storage architecture will strive to become a faithful provider to preserve free-will and respect privacy in a technically verifiable manner.

= What can it become professionally =
All activities conducted in [[MU]] are considered to be transactional data, and can be selectively recorded. It informs participants to recognize what parts of inputs/outputs are shown in public, and what parts of the data can be protected in privately-owned data storage. In either cases, [[MU]] can be considered as a playground or sandbox for people to practice organizational leadership. The persons or teams that have more active inputs/outputs are going to be recorded and therefore acknowledged by the historical data. This also meant that for all the work that has been done by individuals in various instances of [[PKC]]s can be published and shared in the [[MU]] community, therefore, the implications of data transaction can be utilized to accumulate operational experience and extract knowledge from these data records. This is how [[MU]] engages with its participants in a professional manner. Please note that data transactions of test network and production network will have almost identical physical footprints. People who are competent or experienced in test networks, will have almost extractly the same experience in the '''real''' world. In other words, [[MU]] provides a mechanism to help individuals to seamlessly practice their professional skills in an organizationally contained environment. Only users who behaves adequately and professionally will posess the usage history that qualifies them to their desirable professional status.
==Talents: The Most Value Resource in a Community==
Joining a learning community, such as a university, is about having access to its talent pool. Professionally speaking, associating oneself with a community is to become an qualifying agent in a community of talents. In a community that commits to transparent witnessing of learning progress, is like participating in a popularly witnessed sporting event. The persons or teams that demonstrates higher performance will be noticed and that witnessed data is the indicator of one's accomplishment. Therefore, strategically joining and exposing certain aspects of learning progress data is a generic mechanism for identifying and filtering high-performance [[human resources]]. Since [[MU]] provides a universal data reasoning infrastructure to encourage knowledge reuse across domains, adopting [[MU]]'s domain-neutral approach, allows for individuals and organizations to organize their knowledge portfolio beyond [[domain-specific data set]]s as defined by the status-quo of legacy professional practices. [[MU]] as a generic professional community data management infrastructure will aim to serve as the most general form of professional talent measuring stick.
==Professional Skill Assessment and Certification==
An essential function of a school/university, is to serve as a neutral agency for assessing the qualification of intellectual or professional skills. A knowledge dissemination institution should have a qualification procedure that is generally reputable, yet adoptable to various disciplines that are being taught by that institution. Therefore, using reliable, fair, and yet affordable means to conduct tests for participants' professional skills and knowledge levels would be an important feature of [[MU]]. Underlying all possible variations of certification processes, there is a [[universal test pattern]] that could be applied to all certification processes of skills and knowledge levels. It allows [[MU]] to confer certificates to its participants in digital forms that can be verify and validated anywhere, at anytime. On top of all, testing and reflecting on the test results would be a data-driven mechanism to close the loop of any [[learning processes]].

= How can I learn more about MU's Learning practices =
Please start learning by registering onto or operating your own instance of [[PKC]], now.

=The Framing of MU=
[[MU]]'s emergence comes from imminent societal needs. The following [[logic model]] tries to capture the essence of why we must create [[MU]] now.
{{LogicModel
|name=Meta University
}}

==Implementation Strategy==
To make this happen, we decide to leverage the [[Web Tech Stack]] as an operational platform and leverage the resources and tools in this open-ended platform to govern the evolutionary trends of MU.
MU has three explicit functions:
# [[MU is a data container for Learning Activities]], it captures physical activities in concrete data elements for the organization.
# [[The Data Content of MU is governed by the participants of these learning activities]], implemented as [[smart contract]]s authorized by the said participants.
# [[MU invites verification and validation]], through [[namespace management]], [[time stamping]] and [[data linkages]], MU associates physical meaning to data by encoding content knowledge based on the observable patterns of the physical universe.

The goal statement mentioned above also indicates that MU will provide a curriculum that enables a minimal footprint to the core content knowledge while covering the broadest possible content areas. In other words, MU's existence can be thought of as the core/kernel of an operating system of knowledge acquisition in this data-intensive era, and it will help organize learning activities in a structure that best adheres to this fast-changing world. Specifically, MU will offer a curriculum structure that follows the above assumptions and try to link all knowledge content using a unifying data management strategy.

==Individuals and their Societies ==
Knowing that all content knowledge cannot exist in isolation. MU is intended to be a social learning tool that allows individuals to maintain one's private content while maximizing their ease of exchange with other interacting parties. Therefore, MU will explicitly spell out project management tools and practices for both individuals and team members and offer data governing policies for all participants. The logic of how data evolve is the foundation of computing science, and that is where all projects on MU-supported projects will leverage its project management/governance features. This requires users to be highly aware of data security and data privacy-related issues.

In layman's terms, MU will organize content knowledge in the units of languages, starting with the foundation of all languages, the [[meta language]], or the [[logic of data]] in general. Then, MU will introduce domain-specific languages, including linkages to natural languages as ways to demonstrate the power of information compression in languages. Therefore, MU participants can continuously leverage a single repository of languages, to organize their own knowledge content in privately controlled data storage containers.

==A Universal Container==
The first principle of MU is to assume that certain universal principle exists. The principle that we will introduce to all MU students is the notion that all data can be represented using the same type, a type called: "[[Lattice]]" or bounded "[[Partially ordered set]]"([[POSet]]). This universal data type can be mapped onto human's daily experience in terms of [[space]], [[time]], and [[energy]]. The reason that we must introduce this common notion of data structure is to offer a universal data framework that will be applicable to situations across all spatial and temporal contexts. To guarantee this [[universality]], some logical assumptions must be made, and we assume that all spacetime complex follows the logical boundaries of [[POSet]].

==Foundational References==
MU differs from other universities by starting its curriculum in a sequence that is almost opposite of what most popular curricula are designed. This is suggested by [[Gregory Chaitin]], that many accomplished mathematicians are taught the most advanced mathematics from a young age and in a sequence that delights their interest to pursue mathematical content. When properly administered, this strategy may apply to learn and teach content knowledge of any kind. For example, we will provide a universal data structure<ref>{{:Paper/Outline of a Mathematical Theory of Computation}}</ref>, a.k.a. [[lattice]]<ref>{{:Paper/Abstract Interpretation}}</ref><ref>{{:Book/Principles of Abstract Interpretation}}</ref>, to approximate the boundary of our logical reasoning scopes.

=Prior work=

A Google Document on Meta University that lead to this document is available<ref>If you have editorial access to the [[Meta University]] Google document, [https://docs.google.com/document/d/1XI2FqPo7If4vrjflPTJh1nAmEBQQfGNj/edit click here]</ref>.

__TOC__

= MetaUniversity =
Programs in MU will be organized in languages, as in managing vocabulary, syntactical rules, and pragmatic uses. This classification will enable a unifying framework and data analytics tools for learning outcome assessments as well as enabling the compositional opportunities of knowledge content.
== The Notion of Universality ==
[[Universality]] is a operationalized definition according to [[logic|logicians]].
== A Generalized Process for Knowledge Acquisition ==
A university is an agency that embodies collective Intelligence. The process model for such intelligence can be modeled after ideas originated in [[Carl Jung]] and [[Thomas Kuhn]]'s theories.

=== Containers for all Knowledge ===
Using [[Wikidata]] as an example.
# Leverage Existing Data and Learning Assets on the Internet
# Capture visitation data for all these assets
# Provide annotation and create new content
# Publish it using [[PKC]]

=== Conceptual Space and Repeatability ===
As I talking with 郭逸舟， he mentioned [[Johannes Gutenberg|Gutenberg]] can make more impact was due to the size of alphabet in European languages are smaller than Chinese. So that he was able to leverage his work to create Renaisance.

=== Functional Roles in Society ===
The initial vocabulary of [[Role]]s in MU will be based on two camps of knowledge, [[Holacracy]]'s roles and [[Ansible]]'s roles.

== Data as the Medium ==

=== Core Curriculum:Reliable Data as the Medium ===
Data identity is given measurable degrees of trust worthiness based on [[timestamp]]s and [[namespace]] references.

According to Prof. Gautam Dasgupta, this curriculum will be organized in various methods of counting:
# Arithemtic:Counting in [[Number]]s (See [[Gasing Counting]])
# Geometry:Counting in [[Space]]
# Music:Counting in [[Time]]
# Astronomy and Geography:Counting in [[Spacetime]]

=== Skill Mastery ===
A univeresity is also a place where skills and knowledge of persons get refined to a point of mastery. To ensure this experience of incremental improvements and shaping of good [[habit]]s, while avoiding [[addiction]], we need a general framework to observe the process of entering mastery. The program will be initiated with past experience accumulated in the previous programs:
# [[Gasing Method]]
# [[Extreme Learning Process]]
# [[Habit Formation and Addiction Avoidance]]

=== Domain Specialties: Disciplinary Specific Data ===

== Smart Contracts to operationalize accountability ==
All students in Meta University must use [[Smart Contract]]s to organize their shared tasks.

== Measuring Metrics: All learning activities will be accounted for ==
Learning activities will be registered using common databases. Detail actions for each participants will be tracked by [[Matomo]].

=== Working with Concurrent Data Events at Scale ===
Teach all students the basic notion of sets, orderings, and compositions in precise [[language]]s. Moreover, allow them to present the data and information content in tools and platforms that would matter to their daily lives.
# Content-wise [[Linked Open Data]]
# Processing Capacity [[Scale Up and Scale Out]]

== An Exchange Platform ==
There are some existing literature<ref>{{:Book/Universities as Engines of Economic Development}}</ref> that already covers content related to this proposition. Financial and labor market places will be set up to enable exchanges. Ideally, some form of financial rewards should be directly written into [[smart contract]]s for people who are competent to conduct their work professionally.

== Organizational Sustainability ==

=== [[Participation  model]],[[Reaching Consensus]], and Failure Handling ===
Actor Model, Decentralized Identity Authentication, and Game Theoretic Decision-Making.

=== Branching and Exiting ===
Since all types of organizations must evolve and change over time, mention [[Thomas Kuhn]] and his book<ref name="revolution">{{:Book/The Structure of Scientific Revolutions}}</ref>.
=== Merging and Joining ===
All organizations evolves in a similar way, mention [[Kuhn's Cycle]] and his book<ref name="revolution" />.

= Data is the Asset =
To help students assess the values of knowledge content, value of data content is [[dynamics|dynamically]] evaluated in covertable [[currency|currencies]]. MU will provide an exchange market place for students to verify and validate the transaction of data content, while measuring these transactional activities to assess the social value of individual data assets. Both [[factual]] and [[counterfactual]] data content can be computationally synthesized to create a [[single source of truth]].
== Score Keeping: Manage incentives ==
Offering currencies to quantify data asset transactions can be an incentive mechanism for learning. It is operationally feasible to record all data transactions between users in MU. In the universe of data, any data exchange could cause a cascading effect throughout the community. Therefore, [[score keeping]] should be managed by sustainable governing mechanisms. Data from the past, present, and future should all be given credits and therefore, create a perpetual incentive system for all. Instrumentation such as [[PKC]] will keep these transactional data records as a form of evidence for accumulative efforts or contributions. In educational practices, they are often called [[degree certificate]]/[[badge]]s or [[gamification]]. Put it simply, it is one of many scoring, or assessment mechanism in traditional teaching. The most important aspect is to establish a formalized metric to continuously assess learning accomplishments using [[highly-available]] and [[consistent data]].

== Namespaces: Managing Data Dictionary over Time ==
To ensure all data content are tracked within MU, a set of [[highly-available]], automated data dictionaries will be utilized to track the above mentioned transactional activities in terms of frequencies and amount of data exchange. This transactional activity log will provide a mechanism to measure the focus of interests of the utilizing parties.
== Time:the symmetry-breaker ==


===Become Productive and Offer Services to Society===
All the above mentioned knowledge should enhance the participants' capability to create better products and services in their respective society. MU intend to have all participants to be productive in offering data, information, knowledge, and actual services/products while they are learning at MU. The data-intensive environment articulated earlier will enable people to contribute to a data-linked supply chain of services and products. More importantly, it should reduce the unnecessary barriers and middle persons in the economic process. MU will enhance students' and the overall MU community's productivity by offering a number of foundational guidance:
# Governance Template in terms of [[Constitution]]
# Economic Template in terms of [[Exchange Marketplaces and Currencies]]
# Technology Template in terms of [[DevOps and Linked Open Data APIs]]
====Value assessment workflow====
MU also provide reference implementation and experimental programs to verify and validate approaches to turn data into valuable assets. These are considered to be [[workflow]]s that includes explicit speficiations of tools and data content.

= Conclusion =
== Toward the Science of Self-Governance ==

<noinclude>

=References=
<references/>

=Related Pages=
Has Logic Model:[[Has LogicModel::True]], [[Was created on:{{#invoke:CurrentDate|getDate|{{REVISIONMONTH}}|{{REVISIONDAY}}|{{REVISIONYEAR}}|}}]]
[[Category:DAO]]
[[Category:Metaverse]]
[[Category:Learning Organization]]
[[Category:University]]
[[Category:Game]]
[[Category:Gamification]]
[[Category:Evangelism]]
</noinclude>