Figure C7f. Assumption for the Global Digital Transformation (GDT)

Global Digital transformation (GDT)

The webbook talks only about Global Global Transformation (GDT) and not general aspects of Digital Transformation (DT) in any organization or project. 

Present DT operation reflects the open market conditions on national or regional levels and levels of the big corporations of each developed country. The synthesized international cooperation is still behind the worldwide needs.

The low-income countries cannot allow such a way of their progress. But they must stay in the picture of this transformation and strive to be involved in it (first intellectually and gradually financially).

This webbook presents the GDT as a source for creating and utilizing a new worldwide project paradigm for any human development and safety activities (projects) in the Great Triad (GT).

G.A. Miller's diagram

Scientists' efforts to internalize the ever-increasing and deepening scope and content of knowledge are expressed through a diagram in the book "The Cognitive Revolution: A Historical Perspective," Trends in the Cognitive Sciences, G.A. Miller (2003).

According to Wikipedia, cognitive science is an interdisciplinary, scientific study of the mind and its processes. It examines knowledge's nature, tasks, and functions (in a broad sense).

The goal of cognitive science is to understand intelligence principles in the hope that this will lead to a better understanding of the mind and learning and the development of intelligent devices. The diagram is part of a scientific area (discipline), and some of them are briefly explained below.

G. A. Miller (1956) presented the idea that short-term memory could only hold 5-9 (7 ± 2) chunks of information (seven pieces of information, plus or minus two). 

The Magical Number Seven experiment purports the number of objects an average human can hold in their working memory.

It studied how the mind works, functions, and behaves. As a scientific field, it requires applying multiple existing disciplines such as philosophy, neuroscience, or artificial intelligence to understand how the brain decides or performs a task.

AI & Neuroscience

Artificial intelligence affects the future of virtually every industry and every human being. Artificial intelligence has played a significant driver in emerging big data, robotics, and IoT technologies.

It will continue to work as a technological innovator for the foreseeable future. Undoubtedly, AI is a matter for all people anywhere in the world (i.e., including low-income provinces).

Similarly, the field of neuroscience has an open future. Its growth will depend on processing a large volume of data obtained from samples of the broadest possible range of sources. It will benefit from advances in AI and help develop natural intelligence.

Anthropology

Anthropology is the scientific study of humanity, concerned with human behavior, human biology, cultures, and societies, in both the present and past, including past human species. Social anthropology studies patterns of behavior, while cultural anthropology studies cultural meaning, including norms and values.  

Sociology

Sociology is the study of social life, social change, and the social causes and consequences of human behavior. Sociologists investigate the structure of groups, organizations, and societies and how people interact within these contexts.

There is no consensus across different sociological schools and paradigms on the content of sociology and the definition of the subject of its research. Sociology is understood, for example, as the science of people's actions in society, of the structure of society, of social interaction, of social groups, of social facts, of the social system, or of social change. Sociological knowledge is not cumulative. 

• Note to the difference between anthropology and sociology
  Sociology is a discipline that studies the development, structure, interaction, and functioning of human society. Anthropology is a discipline that studies human beings and their ancestors over time, relating to their development, culture, characteristics, relationships, etc. Archeology, which studies human activity through the investigation of physical evidence, is considered a branch of anthropology in the United States and Canada, while in Europe it is viewed as a discipline or grouped under other related disciplines, such as history.

• Cognitive sociology
  Cognitive functions (cognitive functions) are one of the main areas of the human psyche, their centers are in different parts of the brain. It is the study of the conditions under which meaning is constituted through processes of reification (fallacy). Cognitive sociology analyzes the series of interpersonal processes that set up the conditions for phenomena to become “social objects,” which is shape thinking and thought. 

• Cognitive science
  The disciplines that form the basis of cognitive science are linguistics, neuroscience, artificial intelligence, philosophy, anthropology, and psychology. George Armitage Miller (1929-2012) was an American psychologist, a representative of cognitive psychology, and its founder (his book "The cognitive revolution: a historical perspective" is the most famous.

• Linguistics
  Linguistics is the scientific study of language. It encompasses the analysis of every aspect of language, as well as the methods for studying and modeling them. The traditional areas of linguistic analysis include phonetics, phonology, morphology, syntax, semantics, and pragmatics.

• Language engineering
  Language engineering involves the creation of natural language processing systems, whose cost and outputs are measurable and predictable. It is a distinct field contrasted to natural language processing and computational linguistics.

My experience

SPC Concept addresses provinces, anywhere in the world where people live, united by having low incomes. These people speak different languages and dialects, and they have insufficient education. How does the progress perform?

One example is from Kenya - to disseminate stories about simple projects. Yes, it is a good idea. But suppose the diversity of languages is covered only in English, Chinese, Spanish, French, German, etc., languages (without a broad spectrum of dialects of many local languages). In that case, the skills (core techniques) of preparation and implementation of regional (local) projects will not reach the final beneficiaries.

Low incomes groups will still be out (excluded) of the need for know-how. Nevertheless, simple examples translated into the language (dialect) of the end recipients are the only way to master communication and digital inclusion.

This part of communication is still open to new challenges, especially for machine learning applications. The solution exists in a rapidly growing quality of computers (machines), mobility, and usability.

Data validation

Data validation is an essential tool for every organization (company) and every project. It ensures your team that all its members can fully trust that the data they use is always accurate, clean, and valuable. It is a proactive way to protect the team's name and the results of its work.

Structured validation allows the combination of other types of validation by deduction and induction. Through the deduction method, we can draw up a specific case. Thus, it is easy to arrive from general judgment to individuality with the proviso that deduction never brings any new information.

Through the deduction method, we can draw up a specific case. It is easy to arrive from general judgment to a detail (its individuality), but such a simple deduction never brings new information. Induction proceeds oppositely, from individual to available, and allows the setting of general rules for specific situations (evaluated cases).

This comprehensive approach will enable testing (evaluation) of the entire complex data object or set of process operations valid within a single system. Validity depends on how exactly we measure what we (want) to measure. If the results have high validity, the organization or project is well on its way to achieving its goals.

Deductive reasoning

Deductive reasoning is valid reasoning to deduce new information or conclusions from known related facts and information. Deductive reasoning follows a top-down approach and starts from Premises. Its reasoning conclusion must be proper (truth) if the premises are true.

The application of deductive reasoning is complex, as we need facts that must be true. Deductive reasoning may have both valid and invalid arguments and reaches from general points (ideas) to specific facts (solutions).

Inductive reasoning

My (personal) view of myself

Inductive reasoning arrives at a conclusion by the process of generalization using specific facts or data.  It follows from a bottom-up approach and starts from the Conclusion bloc. The truth of premises does not guarantee the validity (truth) of conclusions.

Inductive reasoning is fast and easy, as we need evidence instead of facts. We often use it in our daily life. In inductive reasoning, arguments may be weak or strong and reach from specific points to general truths.