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=Kartographer Demo=
{{Logic Model Infobox
<mapframe text="Map of [[wikipedia:Bali|Bali]]" latitude="-8.2" longitude="115.0920" zoom="8" width="800" height="300" align="center">
|Context=Inadequate [[ICT Awareness and Competency|ICT Awareness]] causes [[Digital divide]].
{
|Goal=Spread awareness of essential [[ICT]] tools
  "type": "FeatureCollection",
|Success criteria=Observable utilization of linked [[Feature Demo|digital content]]
  "features": [
|Outputs=A continuously evolving [[Data Workflow]]
    {
|Process=Relate [[data asset]]s using [[Hyperlink]]s
      "type": "Feature",
|Inputs=[[Active Participant]]s and [[Semantic MediaWiki]]
      "properties": {
|Boundary conditions=Lack of access to networked [[Modern Browsers]]
          "title": "[[wikipedia:Bali|Bali]] is an island in [[wikipedia:Indonesia| Indonesia]]",
}}
          "marker-size": "large",
=About this Website=
          "marker-color": "f00"
[[Extreme Learning Process]]([[XLP]]) is an [[data-centric]] methodology for refining organizational learning activities. It consists of three components:
      },
# [[Project Knowledge Container]]([[PKC]]) as the data service containerization instrument.
      "geometry": {
# [[Meta University]]([[MU]]) as the [[abstract]] organization that practices data-centric learning activities.
        "type": "Point",
# [[Inter-Organizational Workflow]] as the pattern of dataflows that enable opertaional exchanges between orgnaizations that utilizes [[PKC]] instruments.
        "coordinates": [
          -8.3405,
          115.0920
        ]
      }
    }
  ]
}</mapframe>
 
=IEEE SA interview questions=
==What is the problem or issue you are seeing in your field and region that ties back to the mission of “Connecting the Unconnected”? (3 minutes)==
 
The challenge is to enable rural data participants to take data ownership for themselves while adapting ever evolving Information and Communication Technologies (ICT). As computing and communication infrastructures become cheap enough, rural residents, such as farmers and villagers, need to operate these “cheap enough” technologies for themselves as they acquire more data in the process. In other words, bootstrapping rural communities to become self-sufficient ICT-empowered communities is the objective. In contrast to this objective, data created in rural areas by farmers and villagers who do not participate actively in industrial world might have their data taken from them and being utilized to primarily profit data technology operators. In designing a solution for them, I formulate the project as a knowledge-transfer process. I also realized that it needs to go beyond technologies. I am tackling this issue by providing a tailor-made software solution( based on MediaWiki), and the digital knowledge content specifically designed to facilitate the use of the technical solution, MediaWiki as a Knowledge Container.
 
I came to Bali, Indonesia, in 2020, for setting up a new university campus that helps enable digital transformation in South East Asia. Bali’s ICT infrastructures is not superb, and should qualify as a rural area. I observed a strong demand of ICT for local farmers and villagers. In Bali, access to smart phones and 4G+ connectivity is available across most of the island. There are areas that have weak signal coverage, but it can be complemented by Wifi Mesh network when necessary. Therefore, the connectivity issue is not about signal delivery, but in terms of technical content knowledge. For example, locally organized community programs, such as farmer cooperatives that delivers food to low income people, and “Plastic Exchange”, which mobilize villagers to clean up plastic for exchange of rice purchased from philanthropical donations have already had significant momentum.
 
Local community organizers, through existing cultural and administrative network, called the Banjar system, are very skillful in mobilizing their community. These organizers know the importance of using smartphone could help them scale-up logistics problems. The general population in Indonesia has been exposed to local versions of Amazon/Alibaba, as Gojek and Grab.  The locals already use Gojek and Grab smartphone apps to delivery food, sell globally sourced goods, and even provide transportation services. However, these apps are closed, they cannot be opened up to support community efforts that do not involve “profit-oriented transactions”. Therefore, even local people already knew the need to use ICT, they cannot afford a technology development team to tailor-make solutions that will address their local needs. Even after they have organized a significant community program, in hundreds of farms and thousands of families, all their operational data are stilled collected by hand. The lack of a systematical approach to collect and present their operational records reduces their operational capabilities to scale up and present their cases for social benefits.
 
The organizers of these social programs already know that they need data/ICT solutions to manage their program logistics. Although, these programs don’t require sophisticated ICT infrastructures, having people who can deliver a generally applicable solutions that has a low-entry barrier for many of these programs to is not readily available. Moreover, without ICT-enabled data infrastructure, the program coordination and scalability will be limited by their ability to present their overall impact. On top of these functional concerns, these data infrastructure are all based on grass-root efforts, there, they need to demonstrate data trust-worthiness, so that they can justify the credibility of the accomplishments.
 
 
==How long have you been involved in this area/industry/focus and what role do you play in IEEE SA programs/activities (if any)? (3  minutes)==
 
I have been working on this particular technical solution in Bali for about 4 months. Initially, I was trying to work with IEEE SA to organizing some “hackathon-like” events to develop certain solutions. I soon realized that I must first provide a technical infrastructure and an online-platform to get everything moving. Otherwise, volunteered participants would not have sufficient guidance to identify ways to contribution. Therefore, I decided to develop the foundational software, based on MediaWiki and Docker to kickoff the project. Overtime, I also found some Web-based QR code solutions can be combined to deliver an initial proof of concept. I also had been coordinating with the local community organizers to understand their functional requirements.
 
As I talk to these local communities, I realize that the same problem exists for almost all non-profit organizations, including regular educational institutions that need open source technologies to package and deploy their own data assets. Therefore, the MediaWiki-based solution can cover a very significant use case. That means, it is possible to create a generally applicable solution platform that would support many social functions without having these organizations to reinvent the wheels from scratch. After doing similar work in the educational arena, I realized that just using existing open source solutions is not sufficient, because the main features of these open sourced solution may not have a direct or explicit guideline to enable its users to be aware of these solutions. On other hand, how to have a highly concise, yet easily adapted to many fields of applications would greatly expand the impact of existing solutions.
 
I have been talking to IEEE SA personnel about what I am doing here. I also talked to Indonesian’s central government about the need to leverage the expat talent and global technical supply chain to enable solutions to be delivered to these local communities. In fact, a program dedicated to create a Future Center of Knowledge of Indonesia is being presented to Indonesian President’s office. The goal is to co-host the Center of Future Knowledge with IEEE SA’s special office in Bali. We hope that this office of IEEE SA would be able to introduce global talents and technology solutions to this part of the world. 
 
 
 
* How can IEEE SA support to address these challenges in connecting/broadening availability/access?(e.g. awareness of issues, development of Infrastructure, new policies, resources, etc.) What SA programs/activities support work in this field? (3  minutes)
 
As I investigate the needs from a rural data sharing and presentation viewpoint, I realized that existing technical terminology used by software engineers and technology standards bodies may not be understandable by rural area people. I invented a new set of vocabulary to explain why “Data is the Asset” to local people. I classified data assets into three categories, Page, File, and Services, as the three types of building blocks that enable local communities to share their data assets. Web Pages are managed by MediaWiki for presentation, version controlled Files are time-stamped Data Containers, and online Web Services can be monitored using local or global networked monitoring tools to assess the quality of services (QoS). By explaining these ideas to local community leaders, they seems to be able to accept these terms and start recognizing the value of their own data in these terms. These building blocks would be understandable by average community organizers, and technically meaningful to software developers and service providers. I believe that IEEE SA can help organize a concise technical vocabulary that is understandable by lay-man, so that we can use this to broaden ICT awareness and offer a globally accepted conceptual framework to disseminate data and knowledge containers using open source technologies and interfaces.  
 
In other words, I believe that IEEE SA could lend significant amount of credibility and global influence to help rural communities to engage in this global data sharing and management movement. By organizing short, recorded seminars and tutorials to set up operationally useful software and succinct, intuitive vocabulary that relates to their daily data exchange activities. At the same time, identify secure, yet user-friendly solutions to ensure data privacy and data security. These are the intellectual infrastructure issues that could be supported by IEEE SA.
 
By having various online and offline examination or review boards to “certify” or to “test” the data security and service reliability claims of these data providers would also be a possible service that IEEE SA could help in the domain of policy enforcement and resource verification/validation.
 
 
==How can folks get engaged in your IEEE SA projects/activities? (1 minute)==
 
As an instructor in a university, setting up a new kind of institution in the era of the pandemic, I believe that the world would need a new way to enable all people to learn about data technologies. Having habit of sharing data through trust-worthy Pages, Files, and Self-Provisioned Services, could be a necessary skill set. Therefore, to get engaged with my work in onboarding people to this rural data movement, I suggest everyone to study the design rationale of Wiki, and how MediaWiki, Wikipedia, and many other Wiki derived artifacts and organizations inspires many modern data sharing movements around the world. I am also inviting everyone to join force with me to develop the tutorials and software packages, to be hosted on http://thewiki.live, so that installing and managing a personally operated knowledge container would be as easy as possible.
 
=EuMuse – Mindful Music Listening Program=
The two most prominent tools that we have as conscious beings – our attention and our intention, combined determine the quality of our listening experience.
There is no listening in the future and there is no listening in the past thus mindful listening helps us to consciously accumulate present moment awareness.
 
'''Listening''' is an active response to the phenomena of sound; it focuses in on certain sounds to the exclusion of others. It involves the will as well as a neurological process.
'''Conscious application of music''' - mindful music listening i.e. having music in our life by choice and design is a skill attained through the same deliberate practice as any other pursuit of human excellence.


==How to Listen Mindfully?==
=Data Science and Namespace Management=
It is simple to do and does not require much effort on your part, even if you practice it for just 5 to 10 minutes a day.
The power of [[data]] lies in [[namespace management]], please read the page: [[Hypertext Syntax]], to explore the possibilities offered by [[PKC]]. It will significantly improve the organizational structure of your data asset stored in [[hyperlink|hyperlinked]] and [[transclusion|transcluded]] data content.
Here are few tips to help you listen with focused mind:
[[HAS HOME PAGE DATED::November 24, 2021]]


#Dedicate time to listen: Usually the act of listening music is accompanied by other tasks like driving, cooking, cleaning, talking to friends, reading a book, etc. But just like meditation, mindful listening would require you to create space for the act of listening, dropping all the other things. A silent place or a place where you will not be disturbed, is preferable. If there are external sounds, it is okay, stay calm and focused.
#Witness: Often we miss the real essence of listening to music and slip into the semi conscious world of listening. In this step we will stop and witness the music composition, paying attention to the melody, rhythm, dynamics, emotions, and/or memories  that music triggers in us.
#Notice your emotions:  Notice how you breathe. Notice the movement in your body. Notice your feelings – are you feeling happy, sad, excited? Are you feeling the urge to listen more?


===Process:===
=ICT Tools for Distributed Learning=
#calm down your mind and body – come to quiet for a minute
Given the distributed nature of our online learning program, there are many ICT tools that help develop one's [[digital native skill]]s. Knowing that there will be many different skill levels in our highly diverse cohort, we have created a multi-tiered approach to engage your participation.
#be (remain) perceptive to new impression
#feel the music – surrender to the music – be open - let it surprise you


===EuMuse Music Modules===
{{:Digital Literacy Scale}}
#Relax     
#Energize     
#Focus-Learn     
#Create-Reflect   
#Exercise     
#Uplift-Change your Mood
#Strengthen the Healing Process     
#For Babies and Expecting Mothers     
#Expand your Sonic Horizon


==Courses Conducted using Personal Knowledge Container (PKC) Technologies==
Please go to this page to see courses and learning outcomes created using PKC: [[Courses Conducted using PKC.PUB|List of Courses using PKC]].


<ref>
==Universal Data Abstraction==
Anonymous MediaWiki Manual Editors,
In the era of [[wikipedia:Big Data|Big Data]], the required skillset can be summarized in one term:[[Universal Data Abstraction]]. Knowing the potentials and boundaries of [[Universal Data Abstraction]] is to acquire the skill to use available resources to capture data of any sort, and use them under various contexts, including working with many people.
Manual:Extensions,
Last Access: March 27, 2021,
https://www.mediawiki.org/wiki/Manual:Extensions
</ref>
----


==Extension:EmbedVideo<ref>
==MediaWiki and Universal Data Abstraction==
Alexia E. Smith (Alexia E. Smith), Andrew Whitworth (Whiteknight), Jim R. Wilson (Jimbojw), and Mohammad Derakhshani (Mderakhs),
[[MW:Semantic MediaWiki|Semantic MediaWiki]] is one of the more functional, and [[Open Source]] technology in helping students practice their skills on [[Universal Data Abstraction]]. We prepared [[PKC]] to help you experience '''[[Data Universality|the universality of data abstraction]]''' by running a [[public instance of MediaWiki]] for your teamwork. We also prepared this [[Personal Knowledge Container#Installation Procedure/Implementation Process|installation instruction]] to help you operate [[PKC]] on your own. [[PKC]] stands for [[Personal Knowledge Container]]. It is a customized version of MediaWiki designed to be [[Website Operation|operated]] by organizations of varying sizes<ref>{{:Book/Political Numeracy}}</ref>, so that [[data is the asset|data ownership]] can be universal. There are many MediaWiki related resources for knowledge management, you can find them in references grouped as footnotes.<ref group="footnotes">, http://edutechwiki.unige.ch/en/Main_Page last accessed: April 26, 2021, </ref>
Extension:EmbedVideo,
Latest version 2.9.0 (2020-10-14),
Wikimedia,
https://www.mediawiki.org/wiki/Extension:EmbedVideo
</ref>==


<Center>
=Personal Knowledge Container (PKC)=
Note that using the ''''#ev'''' tag, one may specify ''''start'''' and ''''stop'''' time points.
The main ideas behind PKC are [[MW:Semantic MediaWiki|Semantic MediaWiki]], and [[data orchestration|data orchestration]] in a [[data publishing workflow|data publishing workflow]] that subscribes to the ideas of [[Universal Data Abstraction]]. Since it can be run on a broad range of personally owned devices, so that it is named [[Personal Knowledge Container]]. If you want to have a privately operated knowledge container, please follow the [[PKC#Installation Procedure/Implementation Process|installation procedure]] to own one for yourself.
{{#ev:youtube|https://www.youtube.com/watch?v=-cPchmU-pB4|||||start=200&end=215}}


Using the ''''#evt'''' tag, specify the dimensions of the video.
=Footnotes=
{{#evt:
<references group="footnotes" />
service=youtube
{{PagePostfix
|id=https://www.youtube.com/watch?v=eAORm-8b1Eg
|category_csd=PKC
|dimensions=200
}}
}}
</Center>
----
==Math Typesetting==
<Center>
<math>\int_a^x \!\!\!\int_a^s f(y)\,dy\,ds = \int_a^x f(y)(x-y)\,dy</math>
<br>
</Center>
==3D Data in json format==
<Center>[[File:Cube.json]]</Center>
==DynamicPageList==
<ref>
IlyaHaykinson and Amgine,
Extension:DynamicPageList,
Wikimedia,
last accessed: March 27, 2021,
URL:https://www.mediawiki.org/wiki/Extension:DynamicPageList_(Wikimedia)
</ref> :
<DynamicPageList>
category=Logic Model
count=5
</DynamicPageList>
==Locating the Table of Content (ToC) using the Magic word==
__TOC__
----
=References=
<References/>
=test link=
[[test]]

Latest revision as of 04:45, 27 January 2023

Main Page
Context Inadequate ICT Awareness causes Digital divide.
Goal Spread awareness of essential ICT tools
Criteria Observable utilization of linked digital content
Outputs A continuously evolving Data Workflow
Process Relate data assets using Hyperlinks
Inputs Active Participants and Semantic MediaWiki
Boundaries Lack of access to networked Modern Browsers

About this Website

Extreme Learning Process(XLP) is an data-centric methodology for refining organizational learning activities. It consists of three components:

  1. Project Knowledge Container(PKC) as the data service containerization instrument.
  2. Meta University(MU) as the abstract organization that practices data-centric learning activities.
  3. Inter-Organizational Workflow as the pattern of dataflows that enable opertaional exchanges between orgnaizations that utilizes PKC instruments.

Data Science and Namespace Management

The power of data lies in namespace management, please read the page: Hypertext Syntax, to explore the possibilities offered by PKC. It will significantly improve the organizational structure of your data asset stored in hyperlinked and transcluded data content. November 24, 2021


ICT Tools for Distributed Learning

Given the distributed nature of our online learning program, there are many ICT tools that help develop one's digital native skills. Knowing that there will be many different skill levels in our highly diverse cohort, we have created a multi-tiered approach to engage your participation.

  1. Non-Digital Native: Any person who has the potential to use popular web apps and smartphone apps for daily operations.
  2. Content Creator: All participants will have read/write access to at least one dedicated instances of PKC. Since all content are automatically version controlled, we will allow dedicated content organizers/librarians in your own teams to maintain data integrity.
  3. Self-Service Agent: All participants will be given instruction material to learn to operate their own PKC instance for personal knowledge management. However, installation and operation of this personal data instrument are not required for all participants, shared instances of PKCs are encouraged.

Courses Conducted using Personal Knowledge Container (PKC) Technologies

Please go to this page to see courses and learning outcomes created using PKC: List of Courses using PKC.

Universal Data Abstraction

In the era of Big Data, the required skillset can be summarized in one term:Universal Data Abstraction. Knowing the potentials and boundaries of Universal Data Abstraction is to acquire the skill to use available resources to capture data of any sort, and use them under various contexts, including working with many people.

MediaWiki and Universal Data Abstraction

Semantic MediaWiki is one of the more functional, and Open Source technology in helping students practice their skills on Universal Data Abstraction. We prepared PKC to help you experience the universality of data abstraction by running a public instance of MediaWiki for your teamwork. We also prepared this installation instruction to help you operate PKC on your own. PKC stands for Personal Knowledge Container. It is a customized version of MediaWiki designed to be operated by organizations of varying sizes[1], so that data ownership can be universal. There are many MediaWiki related resources for knowledge management, you can find them in references grouped as footnotes.[footnotes 1]

Personal Knowledge Container (PKC)

The main ideas behind PKC are Semantic MediaWiki, and data orchestration in a data publishing workflow that subscribes to the ideas of Universal Data Abstraction. Since it can be run on a broad range of personally owned devices, so that it is named Personal Knowledge Container. If you want to have a privately operated knowledge container, please follow the installation procedure to own one for yourself.

Footnotes

  1. , http://edutechwiki.unige.ch/en/Main_Page last accessed: April 26, 2021,

References

Related Pages