Difference between revisions of "W3T3"
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# Web 1.0 creates faster lifecycles of data exchange, as the clock-speeds of data exchange increase, more transactions and business opportunities arise. Therefore, faster clock speeds in data exchange and processing physically creates new accounting practices, therefore transforms the way asset is being recognized. This means [[project management|project/time management]] practices must be updated as data exchanges across the Web as faster data processors and data transmission becomes available. | # Web 1.0 creates faster lifecycles of data exchange, as the clock-speeds of data exchange increase, more transactions and business opportunities arise. Therefore, faster clock speeds in data exchange and processing physically creates new accounting practices, therefore transforms the way asset is being recognized. This means [[project management|project/time management]] practices must be updated as data exchanges across the Web as faster data processors and data transmission becomes available. | ||
# Web 2.0 is about [[user generated content]]. By capturing the transactional data and meta data about many end-users, the data themselves become a new kind of asset, therefore created large centralized companies to sift through this new asset pool to mine for value. This data mining/sifting process is a way to conduct quality control practice on data, therefore, the algorithms and qualify control techniques determines the scalability of Web 2.0 business. | # Web 2.0 is about [[user generated content]]. By capturing the transactional data and meta data about many end-users, the data themselves become a new kind of asset, therefore created large centralized companies to sift through this new asset pool to mine for value. This data mining/sifting process is a way to conduct quality control practice on data, therefore, the algorithms and qualify control techniques determines the scalability of Web 2.0 business. | ||
# Web 3.0 is about [[distributed | # Web 3.0 is about [[distributed security model]], made feasible with technologies such as [[blockchain]] and [[crypto currencies]], [[Non-Fungible Tokens]]([[NFT]]s). The opportunity arises when data assets can be governed by individuals, as long as they learn the basic use cases and basic properties of data security best practices. | ||
=Rationale for {{PAGENAME}}= | =Rationale for {{PAGENAME}}= | ||
Revision as of 04:52, 4 April 2022
W3T3 stands for using Web 3.0 to conduct Train the Trainer (T3) program. The acronym is a temporary code name for preparing Indonesian citizens to better benefit from the powers of Web 3.0 technologies. The name is to be changed soon, but it will remain W3T3 until a new name is identified.
The Program has the following key ideas:
Backgrounds
Web 3.0 is the superposition of three layers of networked data.
- Web 1.0 creates faster lifecycles of data exchange, as the clock-speeds of data exchange increase, more transactions and business opportunities arise. Therefore, faster clock speeds in data exchange and processing physically creates new accounting practices, therefore transforms the way asset is being recognized. This means project/time management practices must be updated as data exchanges across the Web as faster data processors and data transmission becomes available.
- Web 2.0 is about user generated content. By capturing the transactional data and meta data about many end-users, the data themselves become a new kind of asset, therefore created large centralized companies to sift through this new asset pool to mine for value. This data mining/sifting process is a way to conduct quality control practice on data, therefore, the algorithms and qualify control techniques determines the scalability of Web 2.0 business.
- Web 3.0 is about distributed security model, made feasible with technologies such as blockchain and crypto currencies, Non-Fungible Tokens(NFTs). The opportunity arises when data assets can be governed by individuals, as long as they learn the basic use cases and basic properties of data security best practices.
Rationale for W3T3
The rationale of W3T3, is to create a data science literacy program that fundamentally shifts the knowledge architecture for Indonesians, so that they can quickly adopt Web 3.0 enabled technologies and even create more innovative technologies based on the foundation of data sciences. Indonesia has many secret ingredients to conduct experimental programs that cannot be done by any other nations. The advantage of Indonesia over other countries includes the following reasons:
- A large, and young population: See Indonesia Population Distribution.
- An integrative curriculum that grounds math, literacy, business, and scientific knowledge content in the context of modern data-science. This modernized curriculum has been practiced in Indonesia for 20+ years, and it needs to be scaled up and equipped with Web 3.0 infrastructures to propel Indonesia's economic and social excellence.
- A low-cost, yet distributed geography, with cheaply available data processing hardware and software that can serve as a data asset exchange platform for a broad range of applications.
Unique Feature of W3T3
As a Data Science knowledge dissemination project, W3T3 has the following unique features:
- Present Data is the Asset! as a national educational curriculum in the Web 3.0 era, will help define an intuitive storyline from now until G20. This slogan should be resonant with the recent world-wide events as trust-worthy data and information warfare is on top of everyone's mind[1].
- DevOps orientation: An explicit division between activities on Content Development (Dev) and Training Service Operations(Ops). This DevOps-oriented approach to Web3.0 Content Development and Service Operations would maximally leverage the industrial practices and operational expertise. The focus of the DevOps-oriented approach is to streamline the content development to increase the clock speed of update cycles, while not sacrificing the quality of work.
- Focus on Measurable Learning Results: This program explicitly operates an incentive system that rewards content creators to help citizens to pass data science related qualifications. Knowing that data science related skills and knowledge can be interactively measured using scalable, online data intensive infrastructure, it is possible to reach out to a large number of people in a short amount of time.
- Invite world-leading experts to review and improve the content. Leveraging the up coming G20 event, we can invite some of the top data scientists in the world to push the case for personalized data ownership as a globally accepted cause for more trust-worthy and transparent public data. At the same time, having a focus on data security and privacy as the main thread of curriculum, will naturally fit the needs and operational requirements for getting more people to adopt Web 3.0.
- Develop a set of low-cost, yet highly distributed, symmetric data appliances to serve both individual and community functions, will give citizens a platform to better practice their data science knowledge, at the same time benefit practitioners with real social, economic and intellectual gains. Specifically, deploying Personal Knowledge Containers (PKCs) as a scalable data asset containers that can be run on a wide range of devices, while giving every person a self-sovereign data domain. This will be a unique feature to be articulated as a national policy originated by Indonesia as a nation.
References
- ↑ Applebaum, Jacob R. (Mar 2022). Communication in a World of Pervasive Surveillance: Sources and methods: Counter-strategies against pervasive surveillance architecture (PDF) (Ph.D.). local page: Eindhoven University of Technology. ISBN 978-90-386-5471-3.