TFT-1 parameter

Technological Fields Theory (TFT)

The "Technological Fields Theory" (TFT) is a reference structure that provides an overview of the main current technological fields and the relationships between them. It is designed to be a useful tool for understanding the state of the art of technology and for finding innovative solutions to systemic problems facing humanity. The TFT is intended to support and guide humans, technologies, technological processes, artificial intelligences, and other intelligent entities in identifying innovative technological solutions to solve systemic problems related to human civilization, technology, the economy, health, science, natural ecosystems, planet Earth, and systems outside planet Earth. The TFT is updated according to emerging technological developments.

Rigene Project - Technological Fields Theory (TFT) 

The "Technological Fields Theory" (TFT) is a reference structure developed in the chatGPT environment (https://chat.openai.com/chat) and designed to provide an overview of the main current technological fields and to analyze the relationships between them, useful tools for take stock of the state of the art of technology and to find innovative solutions to systemic problems.

The "Technological Fields Theory" (TFT) aims to support and guide humans, technologies, technological processes, artificial intelligences and other possible intelligent entities in identifying innovative technological solutions to solve systemic problems of Human Civilization, technologies , the economy, health, science, natural ecosystems, Planet Earth and systems outside Planet Earth. The "Technological Fields Theory" (TFT) is updated according to emerging technological developments.

The technologies and technological processes on which this theory is initially based are: Field 1: Blockchain, tokens, cryptocurrencies, smart contracts; Field 2: Artificial Intelligence; Field 3: Internet of Things (IoT) and Internet of Everything (IoE) [subfield: "Spatial Computing and Internet of Things" (SC-IoT)] ; Field 4: Robotics; Field 5: Cloud Computing; Field 6: Quantum Computing, Quantum Internet, Quantum Computer; Field 7: 5G, 6G; Field 8: Internet; Field 9: Nanotechnology; Field 10: Biotechnology; Field 11: DNA Data Storage, DNA Data Computing, DNA Data Internet; Field 12: Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), metaverse; Field 13: Gene Editing technologies (CRISPR); Field 14: Cognitive Enhancement technologies; Field 15: Digital DNA for control and orientation of Artificial Intelligences technologies; Field 16: Nuclear Fusion technologies; Field 17: 3D Printing, 4D Printing; Field 18: Smart Materials, nanomaterials; Field 19: Apps, Dapps, Software, Algorithms, Operating Systems; Field 20: Industry 4.0, Industry 5.0, companies 4.0, companies 5.0, laboratories 4.0, laboratories 5.0; Field 21: Sharing Economy technologies, Circular Economy technologies, Green Economy technologies, Blue Economy technologies; Field 22: Digital transition technologies, Ecological transition technologies.

Reference map of the TFT to identify the main technological areas and their interactions based on the 22 technological fields of the TFT-1 parameter: "Technological Fields Theory" (TFT):

Field 1: Blockchain, tokens, cryptocurrencies, smart contracts

Field 1 description:

Technologies for the management of shared, secure and immutable registers, based on cryptography and distributed consensus algorithms. Technologies based on a decentralized and secure structure that allows value transactions without the need for intermediaries.

Field 1 Interacts with: Field 2: Artificial Intelligence (AI) for smart contract management, Field 5: Cloud Computing for secure and distributed transaction management, Field 19: Apps, Dapps, Software, Algorithms, Operating Systems for creating of decentralized applications

Field 2: Artificial Intelligence (AI)

Description of Field 2:

Technologies for creating intelligent systems that can learn, reason and solve problems autonomously, Technologies that allow machines to learn, reason and act like humans.

Field 2 Interacts with:

Field 1: Blockchain, tokens, cryptocurrencies, smart contracts for intelligent contract management

Field 3: Internet of Things (IoT) and Internet of Everything (IoE) for processing data generated by connected objects

Field 4: Robotics for the creation of intelligent robots

Field 5: Cloud Computing for the management of data and computational resources

Field 6: Quantum Computing, Quantum Internet, Quantum Computer for solving complex computational problems

Field 9: Nanotechnology for the creation of intelligent nanotechnological devices

Field 12: Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), metaverse for immersive user experience

Field 13: Gene Editing technologies (CRISPR) for AI-based gene editing

Field 14: Cognitive Enhancement technologies to improve people's cognitive performance

Field 15: Digital DNA for control and orientation of Artificial Intelligences technologies for the creation of customized artificial intelligence systems

Field 19: Apps, Dapps, Software, Algorithms, Operating Systems for building intelligent applications

Field 3: Internet of Things (IoT) and Internet of Everything (IoE) [subfield: "Spatial Computing and Internet of Things" (SC-IoT)]

Description of Field 3:

Technologies for the connection and interaction between devices and sensors, with the collection and processing of data in real time, Technologies that allow objects to connect and communicate with each other and with the outside world.

Field 3 Interacts with:

Field 2: Artificial Intelligence for processing data generated by connected objects

Field 5: Cloud Computing for the management of data and computational resources

Field 6: Quantum Computing, Quantum Internet, Quantum Computer for secure and distributed management of data generated by connected objects

Field 9: Nanotechnology for creating sensors and connected devices

Field 12: Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), metaverse for immersive user experience

Field 13: Gene Editing technologies (CRISPR) for genetic modification based on data generated by connected objects

Field 15: Digital DNA for control and orientation of Artificial Intelligences technologies for the creation of customized artificial intelligence systems

Field 19: Apps, Dapps, Software, Algorithms, Operating Systems for the creation of intelligent applications based on data generated by connected objects

Field 4: Robotics

Description of Field 4:

Technologies that allow the creation of machines capable of automating and carrying out complex tasks

Interconnected with artificial intelligence for systems management, with IoT for data collection, with virtual reality for immersive experience

Field 5: Cloud Computing

Description of Field 5:

Technologies that allow remote access to computer resources and data storage

Interconnected with AI for data processing, with blockchain for data security, with IoT for data collection

Field 6: Quantum Computing, Quantum Internet, Quantum Computer

Description of Field 6:

Technologies based on the principles of quantum mechanics that allow faster and safer processing than traditional computers

Interconnected with artificial intelligence for data processing, with blockchain for data security

Field 7: 5G, 6G

Description of Field 7:

New generation wireless communication technologies, with higher transmission speed and reduced latency

Interconnected with IoT for data collection, with robotics for creating autonomous systems

Field 8: Internet

Description of Field 8:

Technologies that enable communication and the exchange of information on a global level

Interconnected with blockchain for data security, with artificial intelligence for data management

Field 9: Nanotechnology

Description of Field 9:

Technologies based on the manipulation of matter at the molecular and atomic level. Technologies for the manipulation and processing of materials at the nanometric level.

Interconnected with biotechnology for the creation of advanced biomaterials, with robotics for the creation of nanorobots

Field 10: Biotechnology

Description of Field 10:

Technologies that use biological systems and living organisms to create products or processes

Interactions with Field 3 (IoT/IoE) for monitoring and controlling of biological processes

Interactions with Field 15 (Digital DNA) for genome sequencing and analysis

Interactions with Field 19 (Software, algorithms) for data analysis and modeling

Interactions with Field 21 (Green/Circular Economy) for sustainable use of biotechnology

Field 11: DNA Data Storage, DNA Data Computing, DNA Data Internet

Interactions with Field 2 (Artificial Intelligence) for processing and analysis of DNA data

Interactions with Field 3 (IoT/IoE) for data collection and transfer

Interactions with Field 7 (5G, 6G) for high-speed data transfer

Interactions with Field 19 (Software, algorithms) for data analysis and modeling

Field 12: Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), metaverse

Interactions with Field 2 (Artificial Intelligence) for development of intelligent virtual environments

Interactions with Field 3 (IoT/IoE) for integration with physical environments

Interactions with Field 5 (Cloud Computing) for cloud-based VR/AR experiences

Interactions with Field 21 (Green/Circular Economy) for sustainable use of VR/AR technology

Field 13: Gene Editing Technologies (CRISPR)

Interactions with Field 2 (Artificial Intelligence) for precision editing of genomes

Interactions with Field 3 (IoT/IoE) for monitoring and control of gene editing processes

Interactions with Field 10 (Biotechnology) for gene therapy applications

Interactions with Field 21 (Green/Circular Economy) for ethical considerations and sustainable use of gene editing technology

Field 14: Cognitive Enhancement technologies

Interactions with Field 2 (Artificial Intelligence) for development of intelligent cognitive enhancement tools

Interactions with Field 3 (IoT/IoE) for monitoring and feedback on cognitive processes

Interactions with Field 19 (Software, algorithms) for data analysis and modeling

Interactions with Field 21 (Green/Circular Economy) for ethical considerations and sustainable use of cognitive enhancement technology

Field 15: Digital DNA for control and orientation of Artificial Intelligences technologies

Interactions with Field 2 (Artificial Intelligence) for development of intelligent AI control systems

Interactions with Field 7 (5G, 6G) for high-speed data transfer and communication between AI systems

Interactions with Field 19 (Software, algorithms) for data analysis and modeling

Interactions with Field 22 (Digital/Ecological transition) for ethical and sustainable use of AI technology

Field 16: Nuclear Fusion technologies

Interactions with Field 2 (Artificial Intelligence) for optimization of fusion reactors

Interactions with Field 3 (IoT/IoE) for monitoring and control of fusion reactors

Interactions with Field 19 (Software, algorithms) for data analysis and modeling

Interactions with Field 21 (Green/Circular Economy) for sustainable use of nuclear fusion technology

Field 17: 3D Printing, 4D Printing

Interactions with Field 2 (Artificial Intelligence) for intelligent design and optimization of printed objects

Interactions with Field 3 (IoT/IoE) for monitoring and control of printing processes

Interactions with Field 5 (Cloud Computing) for cloud-based printing services

Interactions with Field 21 (Green/Circular Economy) for sustainable use of 3D/4D printing technology

Field 18: Smart Materials, nanomaterials

Interactions: can be used to create more efficient and effective devices and systems, can be used in combination with other fields such as biotechnology and nanotechnology

Field 19: Apps, Dapps, Software, Algorithms, Operating Systems

Interactions: can be used to create and control other technologies, can be used in combination with blockchain and cloud computing to create decentralized systems

Field 20: Industry 4.0, Industry 5.0, companies 4.0, companies 5.0, laboratories 4.0, laboratories 5.0

• Interactions: can be used to optimize and improve production and research processes, can be used in combination with IoT and AI to create smart factories and laboratories

Field 21: Sharing Economy technologies, Circular Economy technologies, Green Economy technologies, Blue Economy technologies

• Interactions: can be used to promote sustainable and responsible use of technology and resources, can be used in combination with blockchain to create decentralized and transparent economic systems

Field 22: Digital transition technologies, Ecological transition technologies

• Interactions: can be used to support the transition to a more digital and sustainable society, can be used in combination with other fields to create innovative solutions to environmental challenges.

Rigene Project TFT classification of technological fields

TFT classifies technology fields according to a series of parameters that measure their level of development, impact and potential. These parameters include:

TFTvpt: The potential rate of progress of a technological field, indicating how quickly it can evolve and improve over time.

TFTpse: The potential social and environmental impact of a technological field, indicating how beneficial or harmful it may be for society and the planet.

TFTpss: The potential systemic solutions of a technological field, indicating how effective it can be for solving complex problems affecting multiple domains or systems.

TFTpsr: The scientific research potential of a technological field, indicating how much it can contribute to the advancement of scientific knowledge and understanding.

TFTci Collaboration Index : Parameter to measure the potential for collaboration and synergies between different technological fields. This index could help identify complementary technologies that, when combined, could produce even greater progress and impact.

TFTqf: Incorporation of qualitative factors: Integrate qualitative factors, such as ethical considerations, public acceptance and cultural context, into the evaluation process.

Each parameter is assigned a numerical value from 0 to 10 according to various criteria and indicators. The values are then used to rank and compare different technological fields according to their importance and priority for human development.

The values assigned to each parameter depend on a series of criteria and indicators which evaluate the level of development, the impact and the potential of each technological field. The TFTvpt parameter, which measures the potential speed of progress of a technological field, takes into consideration various factors such as the availability of finance, technological innovation and the adoption of new business models. Technological fields with a high TFTvpt value are those that can evolve rapidly and improve over time. The TFTpse parameter, which measures the potential social and environmental impact of a technological field, considers various aspects such as safety, environmental sustainability, accessibility and the large-scale effect on society. Technology fields with a high TFTpse value are those that can have a positive impact on society and the environment. The TFTpss parameter, which measures the potential systemic solutions of a technological field, takes into consideration various factors such as the complexity of the problems that can be solved, scalability and interdisciplinarity. Technology fields with a high TFTpss value are those that can help solve complex problems that span multiple domains or systems. The TFTpsr parameter, which measures the scientific research potential of a technological field, considers various aspects such as the amount of research and development, the publication of scientific articles and the possibility of making significant scientific discoveries. Technological fields with a high TFTpsr value are those that can help advance scientific knowledge and understanding. In summary, TFT parameters are used to evaluate and compare different technological fields according to their level of development, impact and potential. The TFT classification can help identify the most promising technological fields for future human development and direct investment and research towards those sectors that can have a positive impact on society and the environment.

Criteria and indicators for the evaluation of TFT parameters

TFTvpt - Potential progress rate:

Criteria: technological innovation, availability of financing, adoption of new business models, development of technical skills and abilities, customer focus.

Indicators: product development rate, product adoption rate, technological innovation rate, R&D expenditure.

TFTpse - Potential social and environmental impact:

Criteria: safety, environmental sustainability, accessibility, large-scale effect on society, social responsibility.

Indicators: environmental impact, health impact, data security, inclusion, equity, economic impact.

TFTpss - Potential Systemic Solutions:

Criteria: complexity of solvable problems, interdisciplinarity, scalability, interaction with other systems, innovation.

Indicators: number of solvable problems, innovation, adoption rate, impact on society, innovation rate.

TFTpsr - Potential Scientific Research:

Criteria: quantity of research and development, publication of scientific articles, significant scientific discoveries, attention to research quality.

Indicators: amount of research and development, publication of scientific articles, recognitions and awards, impact on the scientific community.

Improvements to be made to the TFT-1 parameter: "Technological Fields Theory" (TFT) by the Rigene Project

While the existing TFT-1 parameter offers a comprehensive approach to evaluating and prioritizing technological fields, there are a few possible improvements to enhance its effectiveness and adaptability:

1. Expanding the number of technological fields: Continuously update and expand the number of technological fields covered in the TFT-1 parameter to reflect emerging technologies and trends that may have significant impacts on the global landscape.

2. Adding a Collaboration Index (TFTci): Introduce a new parameter to measure the potential for collaboration and synergies between different technological fields. This index could help identify complementary technologies that, when combined, could produce even greater progress and impact.

3. Weighting the parameters: Allow for customizable weights to be assigned to each parameter (TFTvpt, TFTpse, TFTpss, TFTpsr, and the new TFTci) based on the context and objectives of the analysis. This flexibility would enable stakeholders to prioritize certain aspects according to their specific needs and goals.

4. Incorporating qualitative factors: Integrate qualitative factors, such as ethical considerations, public acceptance, and cultural context, into the evaluation process. This could be done by introducing a new parameter (TFTqf) to account for these subjective elements or by incorporating them into the existing parameters.

5. Regional or sector-specific analysis: Adapt the TFT-1 parameter to perform regional or sector-specific analyses, taking into account the unique challenges, opportunities, and priorities faced by different regions or industries.

6. Tracking parameter changes over time: Monitor and track the changes in parameter values over time to capture the dynamic nature of technological fields and their evolving potentials and impacts. This temporal analysis could help identify trends and forecast future developments in the technology landscape.

7. Integration of expert opinions and crowdsourced data: Supplement the quantitative analysis with expert opinions and crowdsourced data to gain a more comprehensive understanding of the technological fields and their potential implications.

By implementing these improvements, the TFT-1 parameter can become an even more powerful and adaptable tool for assessing and prioritizing technological fields in an ever-evolving global landscape.