Meta University

Meta University(MU), is an abstract specification of actual universities. This specification is intended to be applicable to all learning organizations universally. It is an ideologically neutral device that states the essence about universal properties, in other words, knowledge content that are generally applicable to all spaces and times in their application contexts.

Context

The overwhelming amount of publicly available data is flooding human cognitive capacity. This phenomenon mandates a new curriculum and a new knowledge foundation to be set up for human society. New tools, new skills, and new interpretive models must be elevated to utilize the emergent waves of unprecedented data availability. In other words, a new kind of university must be established to cope with this paradigm shift in knowledge management.

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Due to the ongoing advancements and dissemination in data processing technologies, the process of knowledge presentation and human skill acquisition have been significantly impacted by them. Since that many people already have access to mobile personal computing devices, and highly configurable human interfaces such as browsers on smart phones are becoming performant enough for complex tasks to be done on site. It only recently become possible to start talking about a data centric curriculum that orient people's attention from being used by their personal computing devices, to start learning about the working principles of these computing devices, while having sufficient contextualized usage of these devices. In other words, Meta University will ground its curriculum based on Logic, that integrates both human-intuition and machine-accelerated data processing as a central part of knowledge acquisition process for the general public.

Goal Statement

The goal of MU is to provide the following tri-fold knowledge organization framework:

1. Establish a Cognitive Foundation on Data: Data Structures and Algorithms to process the data.
2. Support Decisions with Computational Thinking: Making sense of data with the help of mental models and computing tools.
3. Apply knowledge in all Societal Frontiers: Evangelize knowledge and data verification/validation techniques to people who need it.

All the above three goals should be unified with an extensible knowledge representation, retainment, and revisioning mechanism without loss of universality.

This requirement mandates the generalized knowledge container to have an extremely simple structure, as simple as a causally related data representation, called function. In other words, the goal of MU is to organize all content knowledge using an abstract model that represent knowledge as a generic function that could be composed of other functions recursively.

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:

1. MU is an data container for Learning Activities, it captures physical activities in concrete data elements for the organization.
2. The Data Content of MU is governed by the participants of these learning activities, implemented as smart contracts authorized by the said participants.
3. 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 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 adhere 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 maximize its 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 term, 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 curriculum 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 many kind. For example, we will provide a universal data structure, a.k.a. lattice, to approximate the boundary of our logical reasoning scopes.

Prior work

A Google Document on Meta University that lead to this document is available.

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 Unviersality

Universality is a operationalized definition according to 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.

1. Leverage Existing Data and Learning Assets on the Internet
2. Capture visitation data for all these assets
3. Provide annotation and create new content
4. Publish it using PKC

Conceptual Space and Repeatability

As I talking with 郭逸舟， he mentioned Gutenburg 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 Roles 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 timestamps and namespace references.

According to Prof. Gautam Dasgupta, this curriculum will be organized in various methods of counting:

1. Arithemtic:Counting in Numbers (See Gasing Counting)
2. Geometry:Counting in Space
3. Music:Counting in Time
4. Astronomy and Geography:Counting in Spacetime

Skill Mastering

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 refinements, we need a general framework to capture the process of entering mastery. The program will be initiated with past experience accumulated in the previous programs:

1. Gasing Method
2. Extreme Learning Process

Smart Contracts to operationalize accountability

All students in Meta University must use Smart Contracts to organize their shared tasks.

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 languages. Moreover, allow them to present the data and information content in tools and platforms that would matter to their daily lives.

Visualizing Projects in Timeline

	Start datetime	End datetime
A new form	6 December 2021 10:04:56	7 December 2021 10:04:56
Another contextualized event	29 November 2021 10:05:39	8 December 2021 10:05:39
Event:Conference/2021,07,15	15 July 2021 07:50:08	18 July 2021 07:50:08
Event:Meeting/2021,07,15	15 July 2021 08:00:00	15 July 2021 09:00:00
Event:Project/Clean up dev.xlp.pub	16 July 2021 09:00:13	18 July 2021 08:00:13
Event:Project/EnterpriseForTheFuture/Stage 1	1 September 2021 00:00:01	30 November 2021 23:59:59
Event:Project/EnterpriseForTheFuture/Stage 2	1 January 2022 00:00:01	31 August 2022 23:59:59
Event:Project/HDX/2021,07,15	15 July 2021 12:30:00	15 July 2021 14:00:00
Meeting with Prof. Surya	30 January 2022 06:47:08	8 April 2022 06:47:08
PKC Workflow/Stage 1	16 July 2021 08:00:00	16 July 2021 09:00:00

An Exchange Platform

There are some existing literature 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 contracts for people who are competent to conduct their work professionally.

Organizational Sustainability

Branching and Exiting

Since all types of organizations must evolve and change over time, mention Thomas Kuhn and his book.

Merging and Joining

All organizations evolves in a similar way, mention Kuhn's Cycle and his book.