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How to create a system of digital, universal tagging of various kinds of works, texts, photos, publications, graphics, videos, etc. made by artificial intelligence and not by humans?
How to create a system of digital, universal labelling of different types of works, texts, texts, photos, publications, graphics, videos, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification .... etc. should be different for what is the product of artificial intelligence?
Two days earlier, in an earlier post, I started a discussion on the question of the necessity of improving the security of the development of artificial intelligence technology and asked the following questions: how should the system of institutional control of the development of advanced artificial intelligence models and algorithms be structured, so that this development does not get out of control and lead to negative consequences that are currently difficult to foresee? Should the development of artificial intelligence be subject to control? And if so, who should exercise this control? How should an institutional system for controlling the development of artificial intelligence applications be built? Why are the creators of leading technology companies developing ICT, Internet technologies, Industry 4.0, including those developing artificial intelligence technologies, etc. now calling for the development of this technology to be periodically, deliberately slowed down, so that the development of artificial intelligence technology is fully under control and does not get out of hand? On the other hand, while continuing my reflections on the indispensability of improving the security of the development of artificial intelligence technology, analysing the potential risks of the dynamic and uncontrolled development of this technology, I hereby propose to continue my deliberations on this issue and invite you to participate in a discussion aimed at identifying the key determinants of building an institutional control system for the development of artificial intelligence, including the development of advanced models composed of algorithms similar or more advanced to the ChatGPT 4.0 system developed by the OpenAI company and available on the Internet. It is necessary to normatively regulate a number of issues related to artificial intelligence, both the issue of developing advanced models composed of algorithms that form artificial intelligence systems; posting these technological solutions in open access on the Internet; enabling these systems to carry out the process of self-improvement through automated learning of new content, knowledge, information, abilities, etc.; building an institutional system of control over the development of artificial intelligence technology and current and future applications of this technology in various fields of activity of people, companies, enterprises, institutions, etc. operating in different sectors of the economy. Recently, realistic-looking photos of well-known, highly recognisable people, including politicians, presidents of states in unusual situations, which were created by artificial intelligence, have appeared on the Internet on online social media sites. What has already appeared on the Internet as a kind of 'free creativity' of artificial intelligence, creativity both in terms of the creation of 'fictitious facts' in descriptions of events that never happened, in descriptions created as an answer to a question posed for the ChatGPT system, and in terms of photographs of 'fictitious events', already indicates the potentially enormous scale of disinformation currently developing on the Internet, and this is thanks to the artificial intelligence systems whose products of 'free creativity' find their way onto the Internet. With the help of artificial intelligence, in addition to texts containing descriptions of 'fictitious facts', photographs depicting 'fictitious events', it is also possible to create films depicting 'fictitious events' in cinematic terms. All of these creations of 'free creation' by artificial intelligence can be posted on social media and, in the formula of viral marketing, can spread rapidly on the Internet and can thus be a source of serious disinformation realised potentially on a large scale. Dangerous opportunities have therefore arisen for the use of technology to generate disinformation about, for example, a competitor company, enterprise, institution, organisation or individual. Within the framework of building an institutional control system for the development of artificial intelligence technology, it is necessary to take into account the issue of creating a digital, universal marking system for the various types of works, texts, photos, publications, graphics, films, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification ..., should be different for what is the product of artificial intelligence. It is therefore necessary to create a system of digital, universal labelling of the various types of works, texts, photos, publications, graphics, videos, etc., made by artificial intelligence and not by humans. The only issue for discussion is therefore how this should be done.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How to create a system for the digital, universal marking of different types of works, texts, photos, publications, graphics, videos, innovations, patents, etc. made by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification .... etc. should be different for what is the product of artificial intelligence?
How to create a system of digital, universal labelling of different types of works, texts, photos, publications, graphics, videos, etc. made by artificial intelligence and not by humans?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Some technological companies offering various Internet services have already announced the creation of a system for digital marking of creations, works, works, studies, etc. created by artificial intelligence. Probably, these companies have already noticed that in this field it is possible to create certain standards for digital marking of creations, works, elaborations, etc. created by artificial intelligence, and this can be another factor of competition and market advantage.
And what is your opinion about it?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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Deep sea is the process of retrieving mineral deposits from the deep seabed – the ocean below 200m.
Is it necessary with the actual advancement in technologies? And the increasing need for more mineral ressources ?
It's beneficiary? Or too risky?
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The future of deep-sea mining presents a dichotomy of potentialities and risks that demand careful consideration. On the one hand, it holds the promise of accessing valuable mineral resources critical for modern technologies, potentially reducing the environmental impact associated with terrestrial mining, and fostering economic opportunities for resource-rich countries. Moreover, the development of deep-sea mining technologies could fuel innovation and drive progress in marine engineering and robotics. However, these potentialities must be weighed against substantial environmental and ethical risks. Deep-sea mining operations have the potential to disrupt fragile and poorly understood ecosystems, release toxic substances into the ocean, and trigger long-term consequences that are difficult to predict. Regulatory challenges, resource depletion, economic viability concerns, and ethical and social issues further complicate the path forward. Striking a balance between harnessing these resources and protecting the deep-sea environment will require robust scientific research, stringent environmental impact assessments, and comprehensive regulatory frameworks to ensure that the benefits of deep-sea mining are realized without compromising the health of our oceans and the well-being of local communities.
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The fourth technological revolution currently underway is characterised by rapidly advancing ICT information technologies and Industry 4.0, including but not limited to machine learning, deep learning, artificial intelligence, ... what's next? Intelligent thinking autonomous robots?
The fourth technological revolution currently underway is characterised by rapidly advancing ICT information technologies and Industry 4.0, including but not limited to technologies learning machines, deep learning, artificial intelligence. Machine learning, machine learning, machine self-learning or machine learning systems are all synonymous terms relating to the field of artificial intelligence with a particular focus on algorithms that can improve themselves, improving automatically through the action of an experience factor within exposure to large data sets. Algorithms operating within the framework of machine learning build a mathematical model of data processing from sample data, called a learning set, in order to make predictions or decisions without being programmed explicitely by a human to do so. Machine learning algorithms are used in a wide variety of applications, such as spam protection, i.e. filtering internet messages for unwanted correspondence, or image recognition, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks. Deep learning is a kind of subcategory of machine learning, which involves the creation of deep neural networks, i.e. networks with multiple levels of neurons. Deep learning techniques are designed to improve, among other things, automatic speech processing, image recognition and natural language processing. The structure of deep neural networks consists of multiple layers of artificial neurons. Simple neural networks can be designed manually so that a specific layer detects specific features and performs specific data processing, while learning consists of setting appropriate weights, significance levels, value system for components of specific issues defined on the basis of processing and learning from large amounts of data. In large neural networks, the deep learning process is automated and self-contained to a certain extent. In this situation, the network is not designed to detect specific features, but detects them on the basis of the processing of appropriately labelled data sets. Both such datasets and the operation of neural networks themselves should be prepared by specialists, but the features are already detected by the programme itself. Therefore, large amounts of data can be processed and the network can automatically learn higher-level feature representations, which means that they can detect complex patterns in the input data. In view of the above, deep learning systems are built on Big Data Analytics platforms built in such a way that the deep learning process is performed on a sufficiently large amount of data. Artificial intelligence, denoted by the acronym AI (artificial intelligence), is respectively the 'intelligent', multi-criteria, advanced, automated processing of complex, large amounts of data carried out in a way that alludes to certain characteristics of human intelligence exhibited by thought processes. As such, it is the intelligence exhibited by artificial devices, including certain advanced ICT and Industry 4.0 information technology systems and devices equipped with these technological solutions. The concept of artificial intelligence is contrasted with the concept of natural intelligence, i.e. that which pertains to humans. In view of the above, artificial intelligence thus has two basic meanings. On the one hand, it is a hypothetical intelligence realised through a technical rather than a natural process. On the other hand, it is the name of a technology and a research field of computer science and cognitive science that also draws on the achievements of psychology, neurology, mathematics and philosophy. In computer science and cognitive science, artificial intelligence also refers to the creation of models and programmes that simulate at least partially intelligent behaviour. Artificial intelligence is also considered in the field of philosophy, within which a theory is developed concerning the philosophy of artificial intelligence. In addition, artificial intelligence is also a subject of interest in the social sciences. The main task of research and development work on the development of artificial intelligence technology and its new applications is the construction of machines and computer programmes capable of performing selected functions analogously to those performed by the human mind functioning with the human senses, including processes that do not lend themselves to numerical algorithmisation. Such problems are sometimes referred to as AI-difficult and include such processes as decision-making in the absence of all data, analysis and synthesis of natural languages, logical reasoning also referred to as rational reasoning, automatic proof of assertions, computer logic games e.g. chess, intelligent robots, expert and diagnostic systems, among others. Artificial intelligence can be developed and improved by integrating it with the areas of machine learning, fuzzy logic, computer vision, evolutionary computing, neural networks, robotics and artificial life. Artificial intelligence (AI) technologies have been developing rapidly in recent years, which is determined by its combination with other Industry 4.0 technologies, the use of microprocessors, digital machines and computing devices characterised by their ever-increasing capacity for multi-criteria processing of ever-increasing amounts of data, and the emergence of new fields of application. Recently, the development of artificial intelligence has become a topic of discussion in various media due to the open-access, automated and AI-enabled solution ChatGPT, with which Internet users can have a kind of conversation. The solution is based and learns from a collection of large amounts of data extracted in 2021 from specific data and information resources on the Internet. The development of artificial intelligence applications is so rapid that it is ahead of the process of adapting regulations to the situation. The new applications being developed do not always generate exclusively positive impacts. These potentially negative effects include the potential for the generation of disinformation on the Internet, information crafted using artificial intelligence, not in line with the facts and disseminated on social media sites. This raises a number of questions regarding the development of artificial intelligence and its new applications, the possibilities that will arise in the future under the next generation of artificial intelligence, the possibility of teaching artificial intelligence to think, i.e. to realise artificial thought processes in a manner analogous or similar to the thought processes realised in the human mind.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
The fourth technological revolution currently taking place is characterised by rapidly advancing ICT information technologies and Industry 4.0, including but not limited to machine learning technologies, deep learning, artificial intelligence, .... what's next? Intelligent thinking autonomous robots?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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The drive to build autonomous, thinking, intelligent robots, androids raises many ethical controversies and potential risks. In addition to this, the drive to build artificial consciousness as a kind of continuation of the development of artificial intelligence is also controversial.
What is your opinion on this topic?
Best regards,
Dariusz Prokopowicz
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How do you encourage, motivate your students to formulate an interesting, current, future-oriented, out-of-the-box, novel, creative, innovative thesis topic with what words, etc.?
What are your recommendations to your students in terms of selecting or independently formulating an interesting, current, future-oriented, out-of-the-box, novel, creative, innovative topic for a thesis, bachelor's thesis, master's thesis and/or doctoral dissertation?
What incentives do you apply to your students to come up with, create, formulate an interesting, timely, forward-looking, unconventional, novel, creative, innovative thesis topic?
In the current fast-changing reality, the era of the fourth or fifth technological revolution, the rapid emergence of new research concepts, new technologies, new proposals for solving certain problems, the search for ideas for new startups, the development of new socio-economic trends, new fashion trends for certain solutions, new ideas, etc., it is not easy to come up with, create, formulate an interesting, up-to-date, forward-looking, unconventional, novel, creative, innovative thesis topic. Therefore, it is important for lecturers and thesis supervisors to use certain incentives, motivators to select or independently formulate an interesting, current, future-oriented, unconventional, innovative, creative, innovative topic for the thesis, bachelor's thesis, master's thesis and/or doctoral thesis.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What incentives do you apply to your students to come up with, create, formulate an interesting, timely, forward-looking, out-of-the-box, novel, creative, innovative thesis topic?
How do you encourage, motivate your students to formulate an interesting, current and future-oriented thesis topic?
And what is your opinion on this topic?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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The thesis project is a crucial milestone in one's academic journey as well as in their future professional career. It provides the opportunity to delve into topics that will prove valuable in the future. Given the time required to compose the thesis, it is advisable to select a subject that will enhance our expertise and provide a sense of accomplishment.
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Would you like to use a completely new generation of ChatGPT-type tool that would be based on those online databases you would choose yourself?
What do you think about such a business concept for an innovative startup: creating a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use only those online databases, knowledge bases, portals and websites that individual Internet users will select themselves?
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, determine, define?
In my opinion, it makes sense to create a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, define, define. This kind of solution, which would allow personalization of the functionality of such generative artificial intelligence systems, would significantly increase its functionality for individual users, Internet users, citizens. In addition, the scale of innovative solutions for practical applications of such personalized intelligent systems for analyzing content and data contained in selected specific Internet resources would increase significantly.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use only those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, specify, define?
What do you think of such a business concept for an innovative startup: the creation of a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those online databases, knowledge bases, portals and websites that individual Internet users will themselves select?
Would you like to use a completely new generation of ChatGPT-type tool, which would be based on those online databases that you yourself would select?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
Dariusz Prokopowicz
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Certainly, embracing a new ChatGPT generation based on curated online databases offers exciting potential. The enriched data could enhance accuracy and relevance, fostering more insightful and contextually aware interactions, ultimately delivering an elevated user experience.
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Since the start of the COVID-19 Pandemic, many governments and private organizations allocated large sums of money to fund projects dealing with various areas related to this virus. The vaccine is the most prominent area but detection, caring and monitoring of the patients revealed that the current medical equipment is not adequate and sufficient. Are these funding going to lead to invention or innovation? have you seen any report of innovation in medical technology in your community?
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Yes, the COVID-19 pandemic is likely to serve as an engine for innovation in medical technology. The unprecedented challenges posed by the pandemic have driven the healthcare and medical technology industries to rapidly develop and adopt innovative solutions to address the crisis. Here are some ways in which the pandemic has accelerated innovation in medical technology:
  1. Vaccines and Therapeutics: The urgent need for vaccines and therapeutics to combat COVID-19 led to unprecedented global efforts in research and development. The development and deployment of mRNA vaccines, such as those from Pfizer-BioNTech and Moderna, showcased the potential of new vaccine technologies.
  2. Telemedicine and Remote Healthcare: The pandemic pushed the adoption of telemedicine and remote healthcare solutions to provide medical services to patients while minimizing in-person contact. Virtual consultations, remote monitoring, and telehealth platforms have become more widely accepted and integrated into healthcare systems.
  3. Digital Health Solutions: Contact tracing apps, health monitoring wearables, and digital health platforms have been developed or repurposed to help track and manage the spread of the virus, monitor patients' health remotely, and provide real-time data for public health officials.
  4. Medical Imaging and AI: Artificial intelligence (AI) and machine learning algorithms have been applied to medical imaging, such as chest X-rays and CT scans, to aid in the detection and diagnosis of COVID-19. These technologies have shown promise in enhancing diagnostic accuracy and efficiency.
  5. Ventilator Innovation: The high demand for ventilators during the pandemic spurred efforts to develop and produce new and more efficient ventilator models to support patients with severe respiratory issues.
  6. Rapid Diagnostic Tests: The need for quick and accurate COVID-19 testing led to the development of various rapid diagnostic tests, including antigen tests and molecular point-of-care devices.
  7. Supply Chain and Logistics Innovations: The pandemic highlighted vulnerabilities in the medical supply chain. Innovations in supply chain management and logistics have been explored to ensure the efficient distribution of medical equipment, PPE, and vaccines.
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What kinds of problems did healthcare workers experience using protective equipment during the COVID-19 outbreak?
What kind of problems did the healthcare professionals experience regarding the supply of materials during the treatment and care of the patient during the covid-19 outbreak?
Have nurses used innovative practices in care? Could you share the innovation examples in nursing used in this process?
During the COVID-19 epidemic, nurses working in a hospital setting may be physically, mentally, socially, ethically, etc. what kind of problems does he have?
We need your scientific research and help with the answers to these questions in order to share them with healthcare nurses.
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Healthcare workers faced several challenges and issues while using protective equipment during the COVID-19 outbreak. These problems significantly impacted their safety, well-being, and ability to provide effective care. Some of the key problems experienced by healthcare workers include:
  1. Shortages of Personal Protective Equipment (PPE): Many healthcare facilities faced severe shortages of essential PPE, such as N95 respirators, surgical masks, gloves, gowns, and face shields. The lack of adequate PPE increased the risk of exposure to the virus for healthcare workers.
  2. Inadequate Training: Some healthcare workers did not receive sufficient training on how to properly don and doff PPE, leading to the improper use of protective gear and an increased risk of contamination.
  3. Discomfort and Physical Strain: PPE, especially when worn for extended periods, can be uncomfortable and cause physical strain. Healthcare workers reported issues such as difficulty breathing, skin irritation, and discomfort due to wearing PPE for long hours.
  4. Communication Barriers: Wearing masks and face shields can impede clear communication, leading to misunderstandings and potential risks in patient care.
  5. Fogging of Eyewear: Healthcare workers wearing glasses or face shields experienced fogging of eyewear, which could obstruct vision and lead to potential safety hazards.
  6. Dehydration and Heat Stress: Wearing PPE in hot and humid environments led to dehydration and heat stress for some healthcare workers.
  7. Limited Mobility and Dexterity: Some PPE components, such as gloves, reduced the mobility and dexterity of healthcare workers, making certain tasks challenging.
  8. Emotional and Psychological Impact: The constant use of PPE and the fear of infection took a toll on the mental health and well-being of healthcare workers, leading to increased stress, anxiety, and burnout.
  9. Reuse and Extended Use of PPE: Due to shortages, some healthcare workers had to reuse PPE for an extended period, increasing the risk of contamination.
  10. Fit and Sizing Issues: Finding the right fit and size of PPE for all healthcare workers, especially those with diverse body shapes and sizes, posed challenges.
  11. Doffing Challenges: Improper doffing of PPE posed a risk of self-contamination for healthcare workers.
  12. Infection Despite PPE Use: Despite using PPE, healthcare workers still faced the risk of infection due to the highly contagious nature of the virus.
  13. Fears of Transmitting the Virus: Healthcare workers were concerned about potentially transmitting the virus to their families or vulnerable patients, even with the use of protective equipment.
  14. Cultural and Religious Concerns: Some healthcare workers faced challenges in adhering to PPE guidelines due to cultural or religious reasons.
Addressing these challenges required continuous efforts by healthcare institutions, policymakers, and manufacturers to ensure a steady supply of high-quality PPE, comprehensive training for proper usage, and measures to support the physical and emotional well-being of healthcare workers on the frontline.
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I do not see other way out of this inmense crisis within the European Union. Neither MEDE, nor Eurobonds. From an overlapping generations perspective, with children and young people (who have probability quasi-zero of being infected) being forced to stop their lives and careers, we mid-age and mature people are the ones who must bear the cost of the COVID-crisis. And this means inflation (never debt). Therefore, direct monetization of aid for the shock and partial debt relief. And then, a re-europeization of the investment flows (yes, protectionism) with a strong industrial policy direction in mind.
I am conscious of the asymetric international effects of the shock within the european partners. But, either we together, and in the current generation, bear the whole cost in the form of inflation, or our legacy for future generations (within an already highly leveraged framework) is conmdemned to a Euro-collapse in 15 years. What do you think?
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  1. Direct Monetization of COVID-19 Aid: Direct monetization involves funding government expenditures, including COVID-19 aid packages, by creating new money. In this approach, the central bank essentially finances the government's spending by printing money or creating electronic reserves. This method can be used to inject funds into the economy during times of crisis. However, it also carries the risk of inflation if not managed carefully.
  2. Inflation: Inflation is the general increase in prices of goods and services over time, resulting in the decrease of purchasing power of money. During the COVID-19 pandemic, central banks in some countries implemented expansionary monetary policies, including lowering interest rates and purchasing government bonds, to combat deflationary pressures and stimulate economic growth. While some level of inflation can be beneficial to the economy, high and uncontrollable inflation can lead to economic instability.
  3. Partial Debt Relief: Many countries faced mounting public debts as a result of increased spending on COVID-19 relief measures. Partial debt relief refers to the partial cancellation or restructuring of a country's debt burden to alleviate financial strain and facilitate economic recovery. International organizations and creditors may offer debt relief to countries in distress to help them manage their financial obligations.
  4. Industrial Policies: Industrial policies refer to government interventions and strategies aimed at supporting and promoting specific industries or sectors to drive economic growth and development. During the COVID-19 crisis, governments implemented industrial policies to support essential sectors, such as healthcare, pharmaceuticals, and technology, to address the challenges posed by the pandemic and build resilience in critical areas.
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Hi all,
Can you tell us how COVID 19 has triggered most of the innovative processes in the public and private sectors during this period of uncertainty? and from the non-profit sector? in your country?
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Here are some ways in which the COVID-19 crisis has spurred innovation:
  1. Telemedicine and Digital Health Solutions: The need for remote healthcare services during the pandemic led to a rapid expansion of telemedicine and digital health platforms. Virtual consultations, remote monitoring devices, and telehealth solutions became essential tools for delivering healthcare services while minimizing physical contact.
  2. E-Learning and Remote Education: With schools and universities closed during lockdowns, there was a significant surge in e-learning platforms and remote education solutions. Educational institutions and edtech companies developed innovative ways to deliver online classes and interactive learning experiences.
  3. Work from Home and Virtual Collaboration: The shift to remote work prompted the adoption of virtual collaboration tools and platforms. Video conferencing, online project management, and cloud-based collaboration tools became essential for maintaining productivity and communication.
  4. Vaccine Development and Distribution: The urgency to combat the pandemic accelerated vaccine development and approval processes. Collaborative efforts between pharmaceutical companies, researchers, and governments led to the rapid development and distribution of COVID-19 vaccines.
  5. Supply Chain and Logistics Innovations: The pandemic exposed vulnerabilities in global supply chains. Companies and governments sought to enhance supply chain resilience through innovations in logistics, inventory management, and demand forecasting.
  6. Digital Payments and Contactless Services: The fear of virus transmission through physical currency led to an increased adoption of digital payment methods and contactless services in retail and banking sectors.
  7. Remote Entertainment and Streaming Services: The entertainment industry saw a surge in demand for streaming services, online gaming, and virtual events as people sought entertainment options at home.
  8. Personal Protective Equipment (PPE) Innovation: There was a rapid development of new PPE designs and materials to meet the increased demand for protective gear for healthcare workers and the general public.
  9. Data Analytics and Modeling: Data analytics and modeling played a crucial role in tracking the spread of the virus, predicting hotspots, and informing public health measures.
  10. AI and Automation in Healthcare: AI and automation technologies were utilized in healthcare settings for tasks like patient monitoring, diagnosis, and drug discovery.
  11. Community Initiatives and Social Innovation: Community-led initiatives and social innovation played a significant role in addressing various challenges posed by the pandemic, including food distribution, mental health support, and community solidarity.
  12. Hygiene and Sanitization Innovations: Various hygiene and sanitization innovations, such as touchless technology, UV sterilization devices, and antimicrobial materials, emerged to mitigate the spread of the virus.
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Imagine the situation that a new different but much more perfect version of something similar to ChatGPT is built, for which each person can ask only one question, what would that question sound like?
In the current era of rapidly developing information technology, the technology of Industry 4. 0, the era of the fourth or perhaps already fifth technological revolution, in the situation of rapidly developing artificial intelligence technologies, building more and more perfect robots and androids, which, equipped with artificial intelligence, can perform a variety of activities until recently performed only by humans and until recently widely recognized as such, which only humans can perform, many new concepts are emerging, full of admiration for the modern technology of new applications of artificial intelligence, but also many new or well-known for many years but now growing in importance concerns about the development of artificial intelligence, including concerns about the consideration of the possibility in the future that the development of artificial intelligence will escape human control. In the context of, on the one hand, admiration and, on the other hand, concerns about the effects and directions of artificial intelligence development in the future, new intriguing questions are emerging. New questions, which, having the character of intriguing questions, activating creative reflection, motivating critical thinking, play a special role in the development of science. For example, this kind of question:
Imagine the situation that a new different but much more perfect version of something similar to ChatGPT is built, for which each person can ask only one question, what would this question be like?
Does this question have such a character, does it activate creative reflection, does it motivate critical thinking? I hope it does.
Please give an example of a question you would ask for a built new much more perfect version of something similar to ChatGPT, for which each person could ask only one question.
Please answer,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Why not more question?
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What was unique in tech at the universities of Berkeley or Stanford in comparison to the Ivy League universities on the east coast?
Was it the liberal atmosphere of the 70s in California?
Was it defense spending from nearby sources?
How come the computer industry took off in California?
Legislative state reasons?
Geography, close to Asian markets?
Why did the ecosystem not evolve in Boston, New Jersey, Philadelphia, or Chicago?
Cherish research paper links.
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I have been experimenting with machine learning in JavaScript, please, let me know also your experience! 😎🤗😍
In attachment a preprint!
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Feel free to add more details on your perspective!
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New ideas, new concepts in science and art arise as a result of human creativity, innovation, emotional intelligence, the need for self-realization, the need to be appreciated by other people.
These are the values at the very top of Maslov's pyramid. Human higher needs arose through the evolution of human consciousness and intelligence under conditions of multi-generational development of sociobiological and psychosocial determinants.
On the other hand, artificial intelligence is being developed, which will probably be used in various fields of technological information services, including multi-criteria, based on complex data processing algorithms.
In view of the above, the current question is: Can innovations be or can be created by artificial intelligence or only by man?
Please, answer, comments.
I invite you to the discussion.
Best regards,
Dariusz Prokopowicz
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Innovations can be created by only human. Human is the innovative and creator of artificial intelligence.
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My Organization implemented a formal innovation process two years ago, but unfortunately, only a few colleagues have participated in our innovation lab, with ideas for new services or new processes.
The critical point is our innovation culture, how to assess it, and how to act on the specific areas that will make a difference and will change our innovation culture in the near future
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You have to acknowledge that over the past two years, only a few colleagues have participated in our innovation lab and contributed ideas for new services or processes. This reflects very offen our current innovation culture, which we actively seek to improve. Rather than dwelling on the past, you have to shift the focus towards the future and take action to transform our innovation culture.
By addressing the challenges we have to face, that you have to demonstrate the commitment of the players to change and improve. I see this as an opportunity to create a more inclusive and collaborative environment for innovation within our organization. Please invite all colleagues to join your projects in this endeavor and contribute their ideas and perspectives to shape a vibrant and dynamic innovation culture.
By acknowledging the past and emphasizing the commitment to change, this approach sets a positive tone and encourages employees to actively participate in transforming the innovation culture. It emphasizes the importance of inclusivity and collaboration, inviting everyone to contribute to the desired change.
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What are the key determinants of the possibility of building new high-tech microchip manufacturing companies?
What are the key determinants of the possibility of building new high-tech microchip manufacturing companies in a developing country where various new technologies are being developed but to date there are no high-tech chip manufacturing companies?
What type, what category of capital should a developing country have in order to be able to build its, nationally, a kind of new 'Silicon Valley', in which companies developing new technologies and basing their business models on new, highly advanced ICT information technologies and Industry 4.0 will function effectively?
Among the various factors of technological and developmental advantage of individual countries in terms of international comparisons, the possession of advanced technologies, including biotechnology, green energy technologies but also new ICT information technologies and technologies typical of the current fourth technological revolution, Industry 4.0 technologies, stands out. The possession of these technologies determines the possibilities for the development of many industries, including the manufacture of products that are increasingly produced as highly technological products equipped with, for example, microchips.
Microchips are no longer used only in computers, laptops, PDAs, tablets, smartphones, supercomputers built in research centres and further types of highly technological products, but also in white goods, consumer electronics, TV, motor vehicles, including cars, aircraft, military equipment, etc. and, more recently, in systems based on artificial intelligence being built and developed. Microchip production is associated with certain determinants for the development of other economic sectors as well. The production of microchips is a highly energy-intensive process. Therefore, it is also necessary to develop new, renewable and emission-free energy sources to supply electricity to, among other things, microchip production processes.
Currently, there are aspirations and research in many countries to identify opportunities for the development of advanced ICT and/or to create the conditions for the creation of a kind of next "Silicon Valley", including microchip manufacturing companies. As in the case of other industries, so in the case of new ICT information technologies and Industry 4.0, the key factors determining the possibility of building new companies producing advanced microchips include such basic categories of capital as financial capital, possession of research and development centres, science centres generating also the intellectual capital of the staff of employees, possession of modern lines and machine parks produced mainly by domestic industries, generating technological and production capital, with which industrial plants and companies included in technological sectors are equipped. However, this is not all that is required to build a thriving sort of new, next "Silicon Valley" and to be able to be at the forefront of the new ICT information technologies, Prezmysł 4.0, including the production of highly technological microchips. Perhaps among the mentioned key determinants of the development of technology companies are new specific business models, new styles of management, personnel management and motivation to create technological innovations. In addition, perhaps the key factors determining the development of technology companies should also include a highly economically efficient mix of flexible pro-development economic policies, including policies to support the development of science, scientific research, the development of research and development centres, policies to develop innovation; systemically developed highly efficient corruption-free financial support programmes from the state's public finance system; a friendly economic policy for the development of innovative startups; modern ownership models and shareholding structures of technology companies, research institutes and research and development centres, etc.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What type, what category of capital should a developing country have in order to be able to build its, nationally, a kind of new "Silicon Valley" in which companies developing new technologies and basing their business models on new, highly advanced ICT information technologies and Industry 4.0 will function effectively?
What are the key factors determining the feasibility of building new modern microchip manufacturing companies in a developing country where various new technologies are being developed but modern microchip manufacturing companies do not exist to date?
What are the key determinants of the possibility of building new high-tech microchip manufacturing companies?
What are the key determinants of the development of highly technological industries?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
Best regards,
Dariusz Prokopowicz
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The development of highly technological industries is influenced by a variety of factors. Here are some key determinants that play a significant role:
  1. Research and Development (R&D): Investment in research and development is crucial for the development of highly technological industries. Companies and governments that allocate substantial resources to R&D activities can drive innovation, create new technologies, and enhance existing ones. R&D investment helps in the development of cutting-edge products, processes, and services, giving industries a competitive advantage.
  2. Skilled Workforce: The availability of a skilled and knowledgeable workforce is essential for the development of technological industries. Skilled professionals, such as engineers, scientists, programmers, and technicians, contribute to research, design, production, and maintenance of technology-based products and services. Access to quality education and training programs that focus on science, technology, engineering, and mathematics (STEM) disciplines is crucial for nurturing a skilled workforce.
  3. Infrastructure: Adequate infrastructure is necessary to support the development of highly technological industries. This includes reliable power supply, high-speed internet connectivity, transportation networks, research facilities, and incubation centers. A well-developed infrastructure enables efficient communication, transportation of goods, access to markets, and collaboration between industry players.
  4. Intellectual Property Rights (IPR) Protection: Strong intellectual property rights protection is essential to encourage innovation and investment in technological industries. Robust legal frameworks and effective enforcement of patents, copyrights, and trademarks provide incentives for companies to develop new technologies and ensures that they can profit from their inventions. Effective IPR protection fosters a climate of innovation, attracting investments and promoting technological development.
  5. Access to Capital: Adequate access to capital is crucial for the growth and development of technological industries. Investments are required for R&D, infrastructure development, hiring skilled professionals, and scaling up operations. Access to venture capital, private equity, government grants, and loans enables companies to fund their innovative projects and expand their operations.
  6. Collaboration and Networking: Collaboration and networking play a vital role in the development of highly technological industries. Collaborations between academia, research institutions, and industry foster knowledge transfer, encourage innovation, and enhance the development of new technologies. Networks and clusters of companies in related industries can create synergies, share knowledge, and facilitate the exchange of ideas.
  7. Supportive Regulatory Environment: A supportive regulatory environment can significantly impact the development of highly technological industries. Clear and favorable regulations can encourage innovation, ease market entry for new companies, and provide a framework for fair competition. Policies that promote entrepreneurship, ease bureaucratic burdens, and incentivize investments in R&D can foster the growth of technological industries.
  8. Market Demand: The presence of a strong market demand for technological products and services is a key determinant of industry development. Industries thrive when there is a significant consumer base or business demand for innovative technologies. Market demand provides the necessary incentives for companies to invest in R&D and bring technologically advanced products and services to the market.
It's important to note that these determinants can interact and influence each other. Successful development of highly technological industries often requires a combination of these factors working in tandem to create an ecosystem conducive to innovation and growth.
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I have panel data comprises 5 cross sections across 14 independent variables. the data time series part is 10 years. while I run the panel data model for pooled OLS and FE model it gives results while for Random effect model it shows error as RE estimation required number of cross-section>number of coefficients for between estimators for estimation of RE innovation variance. Can anyone help me how to get the results for Random effect model?
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How can machine learning technology, deep learning and a specific generation of artificial intelligence applied to Big Data Analytics platforms help in the processes of managing the effective operation and growth of an innovative startup?
How should a system architecture built from modules incorporating implemented machine learning, deep learning and specific generation artificial intelligence, Big Data Analytics and other Industry 4.0 technologies be designed to assist in the improvement of computerised Business Intelligence analytics platforms and thus in the processes of managing the effective operation and development of a commercially operating innovative startup?
The development of innovation and entrepreneurship, including the effective development of innovative startups using new technologies in business, is among the key determinants of a country's economic development. Among the important factors supporting the development of innovativeness and entrepreneurship, apart from system facilitations, a favourable tax system, low interest rates on investment loans, available non-refundable financial subsidies, there is also the issue of the possibility of implementing new technologies, including Industry 4. 0, including, but not limited to, technologies such as artificial intelligence, machine learning, deep learning and Big Data Analytics, Internet of Things, digital twins, multi-criteria simulation models, cloud computing, robots, horizontal and vertical data system integration, additive manufacturing, Blockchain, smart technologies, etc., can be helpful in the process of improving the management of economic entities, including service companies, manufacturing enterprises and innovative start-ups. These information technologies and Industry 4.0 can also help to improve Business Intelligence used in business management. The key issue is the proper combination of applied Industry 4.0 technologies to create computerised platforms supporting the processes of managing both the current, operational functioning of economic entities and in the processes of forecasting the determinants of the development of companies and enterprises, in the creation of forecasting models of simulation of development for a specific economic entity, which may also be an innovative start-up. In recent years, attempts have been made in larger business entities, corporations, financial institutions, including commercial banks, to create computerised Business Intelligence analytical platforms improved through a combination of applied technologies such as machine learning, deep learning and a specific generation of artificial intelligence applied to Big Data Analytics platforms. Such processes for improving Business Intelligence analytical platforms are carried out in order to support the management of the effective operation and development of a commercially operating specific business entity. Therefore, in a situation where specific financial resources are available to create analogous Business Intelligence analytical platforms, it is possible to apply an analogous solution to support the management of the effective operation and development of a commercially functioning specific innovative start-up.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can machine learning technology, deep learning and a specific generation of artificial intelligence applied to Big Data Analytics platforms help in the processes of managing the effective operation and development of an innovative startup?
How should a system architecture built from modules containing implemented machine learning technology, deep learning and a specific generation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies be designed to assist in the improvement of computerised Business Intelligence analytics platforms and thus in the processes of managing the effective operation and development of a commercially operating innovative startup?
And what is your opinion on this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Hello Dariusz Prokopowicz , The findings of the below referred paper have implications for understanding how entrepreneurs adopt and use digital technologies in their entrepreneurial activities. Entrepreneurs who exhibit a propensity for adopting digital technologies and DIY behavior, are likely to be more open to adopting and utilizing such tools in their growth management processes, potentially benefiting their innovative startup's growth trajectory.
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Lien du formulaire (version française) : https://forms.gle/p4aFm8m1qyPcmT3Z7
Lien du formulaire (version anglaise) :https://forms.gle/hhfcMWXNEzK5nJFG9
Bonjour à toutes et tous !
Dans le cadre de ma maîtrise en génie de la construction au sein de l'Ecole de technologie supérieure (ETS) de Montréal, je réalise un projet d'application sur l'innovation et le développement durable afin de répondre à la problématique :
" L' innovation est-elle compatible avec le développement durable dans le secteur de la construction ? »
Au travers d'un questionnaire qui vous prendra quelques minutes, je sollicite votre avis en tant que professionnel du secteur de la construction, quelque soit votre niveau d’expérience. Cela me permettra d'obtenir un échantillon représentatif afin d'enrichir mon projet ainsi que mes axes de réflexions.
N'hésitez pas également à liker et à partager cette publication. Un grand merci par avance pour votre coopération !
Hello everyone!
As part of my master's degree in construction engineering at the Ecole de technologie supérieure (ETS) in Montreal, I am doing an application project on innovation and sustainable development in order to answer the question:
"Is innovation compatible with sustainable development in the construction sector?"
Through a questionnaire that will take you a few minutes, I am asking for your opinion as a professional in the construction sector, whatever your level of experience. This will allow me to obtain a representative sample in order to enrich my project as well as my lines of thought.
Please feel free to like and share this publication. Thank you in advance for your cooperation!
Link to the form (French version): https://forms.gle/p4aFm8m1qyPcmT3Z7
Link to the form (English version): https://forms.gle/hhfcMWXNEzK5nJFG9
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Absolutely! "Social" innovation is key to making the construction sector sustainable.
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How not to stop wondering what is happening? Happy to learn about techniques, proposed lifestyles, and attitudes for staying creative and fostering out-of-the-box thinking.
Looking for anticipatory critical thinking techniques where the solution is not within the established universe as the methodological setup of science is in its nature a laggard.
What is needed or probably much more important what needs to be abandoned in a disruptive world?
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Dear Thomas:
The concept being discussed here relates to the importance of possessing a proactive mindset, self-assurance, and a fearless attitude towards potential failure. Consistent practice in problem-solving, even with trivial issues, broadens the mind and cultivates a natural aptitude for creativity. However, in today's world where information is abundant and easily accessible, individuals are inclined to become idle, leading to a detrimental effect on their cognitive processes, limiting their capacity for innovative thinking.
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What are the applications of digital twins in conjunction with artificial intelligence, Big Data Analytics and other Industry 4.0 technologies in creating simulations of digital models of complex macroprocesses?
The technology of digital twins is used, among other things, to simulate production, logistics processes in business entities, i.e. in the microeconomic field. The creation of digital twins for specific economic and financial processes carried out in economic entities supports the management of these entities. Computer simulations of e.g. production processes, offering of services, supply and procurement logistics, distribution logistics, marketing communication with customers, etc. save time and money, as possible errors in decisions generate much smaller negative effects if they are realised not within the framework of real processes and a kind of experimentation on a functioning enterprise, company, corporation, institution, etc., but within the framework of computer simulation. but within the framework of a computer simulation in which various alternative variants of the development of the economic and financial situation of a company are considered and compared with each other as forecasts of specific processes defined for the following days, weeks, months, quarters or years. Therefore, since the pandemic, many companies and enterprises in Poland have been investing in the creation of IT systems equipped with digital twin technologies, within which it is possible to create multi-criteria, multi-faceted, complex simulation models of specific economic and other processes realised within the company, and/or simulation of processes realised at the level of the company's relations with the environment, with business partners, customers, cooperators, etc.
On the other hand, the possibilities of creating simulations for macroprocesses, i.e. e.g. macroeconomic processes, natural processes, technological processes, geological processes, social processes, long-term climate change, cosmological processes, etc., through the use of digital twin technologies and also other Industry 4.0 technologies, including learning machines, deep learning, artificial intelligence, analytics carried out on Big Data Analytics platforms, are a matter of debate. Year on year, due to technological advances in ICT, including the use of new generations of microprocessors characterised by ever-increasing computing power, the possibilities for increasingly efficient, multi-criteria processing of large collections of data and information are growing. Artificial intelligence can be particularly useful in the field of selective and precise search for specific, defined types of information and data extracted from many selected types of websites and real-time transfer and processing of these data in database systems organised in cloud computing on Big Data Analytics platforms, which would be accessed by a system managing a built and updated model of a specific macro-process using digital twin technologies.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the applications of digital twins in conjunction with Artificial Intelligence, Big Data Analytics and other Industry 4.0 technologies for creating simulated digital models of complex macroprocesses?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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The combination of digital twins with AI, Big Data Analytics, and other Industry 4.0 technologies has the potential to revolutionize the way we model and simulate complex macroprocesses. The applications of such technologies can range from predicting and optimizing macroeconomic outcomes to predicting and mitigating the impact of natural disasters. One potential application is in the field of climate modeling, where digital twins can be used to simulate the effects of various policy interventions and technological developments on long-term climate change. Another potential application is in the field of urban planning, where digital twins can be used to simulate the impact of various transportation and land-use policies on the environment and human well-being.
However, there are also ethical concerns that need to be addressed in the development and use of these technologies. For example, there may be unintended consequences or biases in the data used to train AI models, which could lead to inaccurate or unfair simulations. Additionally, the use of these technologies may exacerbate existing inequalities if they are only accessible to certain groups or if their implementation is not carefully planned and monitored. Therefore, it is important to consider the potential ethical implications of these technologies and to develop guidelines and best practices for their responsible use.
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How can cryptocurrency trading be formalised, institutionalised and made more secure?
How to build formalised and high-security transaction institutionalised cryptocurrency trading markets?
In recent years, many technology startups have based their growth and competitive advantage on business, technological, product, service, marketing or other innovations. Banks are reluctant to provide investment loans to emerging startups basing their growth on innovative technologies. In such a situation, innovative startups emerge and are financed through such external sources of funding as investment funds, business angels, securities issuance, crowdfunding and others. Crowdfunding will develop intensively in the future as an alternative to classic forms of external financing for business ventures. It is an alternative to the financial service offerings of financial sector institutions, particularly in the segment of financing innovative start-ups. Commercial banks operating within the framework of classic deposit and credit banking often avoid lending to innovative start-ups due to difficulties in assessing credit risk. In such a situation, crowdfunding can be a good solution to the problems of finding external funding. On the other hand, cryptocurrencies, which operate outside institutionalised and centralised financial systems, are growing in importance. Perhaps in the future, cryptocurrencies will displace traditional currency from online financial transactions between fintechs, financial institutions, innovative start-ups, online technology companies running social media portals and their customers, and between users of these online portals. In addition to this, it is becoming essential to improve the security of online financial transactions and settlements carried out through online mobile banking. In this connection, blockchain technology is developing as an application for securing online transactions and data transfer. An increasing number of large companies are announcing the creation of their own cryptocurrency. Some investment banks such as JP Morgan have announced the creation of their own cryptocurrency for settlements with key counterparties. The development and implementation of ICT information technologies, advanced data processing technologies Industry 4.0 and Internet technologies into the business activities of companies and enterprises facilitates the execution of financial operations on the Internet and ensures a high level of security of Internet data transfer. The development of technological innovations, ICT information technologies, advanced information processing technologies co-creating the current technological revolution Industry 4.0, financing through crowdfunding, securing online transactions with blockchain technology, the increase in the use of cryptocurrencies in these settlements, etc. are likely to be important determinants of the development of innovative, technological start-ups operating on the Internet and factors in the development of the knowledge economy in the years to come. Consequently, the development of open innovation is correlated with the issue of innovation and entrepreneurship development in the economy. A significant proportion of innovative startups develop their business model based on open innovation. On the other hand, in macroeconomic terms, the development of open innovation can be an important determinant of economic development in developing countries and in developed knowledge-based economies. In view of the above, research shows that the spread of open innovation and open knowledge bases is an important issue for building a sustainable economy in a technologically developed and developing country. A number of predictive studies show that cryptocurrencies will grow in importance in the future in financing various transactions and settlements carried out electronically, through the Internet, on social media, in investment banking, etc. Currently, many technology startups base their growth and competitive advantage on technological, product, service, marketing or other innovations. However, in order for the financing of new business ventures, innovative startups to develop using cryptocurrencies it is necessary to increase the scale of systemic formalisation and institutionalisation of transactions carried out using cryptocurrencies, to build formalised cryptocurrency markets and to increase the security of transactions carried out using cryptocurrencies in the future.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can the planned taxation of cryptocurrency transactions be a first step for increasing the scale of systemic formalisation and institutionalisation of cryptocurrency transactions, building formalised cryptocurrency markets and increasing the future security of cryptocurrency transactions?
How to build formalised and highly secure transaction institutionalised cryptocurrency trading markets?
How can cryptocurrency transactions be formalised, institutionalised and made more secure?
What is your opinion on this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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How can corruption in the national system of awarding non-refundable financial grants for innovative business ventures undermine the development of innovation and science?
In what way can corruption in the national system of granting non-refundable financial subsidies from the public finance system for innovative business ventures be an important element in the decline of the credibility of key public institutions supporting cooperation between business and science, a decline in the level of innovation in the economy, a decline in the effectiveness of the implementation of innovative solutions and patents created during research work, a weakening of the development of national science?
An important factor for the effective economic development of the country is the development of innovativeness, including the creation of new, innovative technologies and their implementation and development in business applications. Important factors for the activation of innovation and entrepreneurship in the economy include efficiently and reliably functioning systems of financial subsidies la innovative startups and companies and enterprises implementing and developing new, innovative technologies in business applications. However, when this system is flawed, does not function efficiently and reliably, is permeated with corruption and the extortion of funds from the state's public finance system, then the process of activating innovation and entrepreneurship in the economy does not work. This is particularly relevant in a paradise where investment banking is underdeveloped and, as a result, the development of innovative startups is, outside of grants from the national public finance system and outside of financial grants from the European Union, financed mainly on the basis of family loans, equity financing provided by business angels, specialised investment funds and crowdfunding available on the Internet. These are therefore not great opportunities to finance the development of innovative startups in a situation where commercial banks avoid lending to this type of entity. Commercial banks are unlikely to grant loans to finance the development of an innovative startup because they assess the credit risk as high for this type of business venture or they are also unable to precisely quantify the credit risk for startups that plan to implement and develop new, innovative technologies. In such a situation, a system of non-repayable financial subsidies coming from the public finance system and distributed systemically to such ventures can be of great help in activating the development of innovation and entrepreneurship. In order for this kind of system of distributing grants for innovative projects to work efficiently and effectively, the process of distributing funds under this kind of non-returnable grant schemes should be conducted in the form of competitions, during which genuinely innovative technological solutions should be selected. The competitions should be carried out taking into account the real expertise in innovation, reliable processes of analysis and evaluation of the level of innovation and determination of the level of usefulness, possibilities of practical applications, improvement of the effectiveness of economic processes, improvement of the level of profitability, obtaining specific positive effects of applying new innovations in a company or enterprise, etc. It is also necessary to carry out a number of market studies and analysis of the demand in specific markets, in specific spheres of economic activity, the demand from specific types of economic entities and/or citizens for products and services that will be created by the implementation and development in business of specific new innovative technologies. However, when corruption, including embezzlement of public money, occurs in this system of distributing financial subsidies then the whole system does not work effectively. When corruption occurs in public institutions distributing financial subsidies then the process of activating innovation and entrepreneurship does not work effectively. In view of the above, corruption in the national system of awarding financial grants from European Union funds for innovative business ventures may be an important element of a decrease in the credibility of key public institutions supporting cooperation between business and science, a decrease in the level of innovation in the economy, a decrease in the effectiveness of implementation of innovative solutions and patents created during research work, a weakening of the development of national science. In the country in which I operate, further cases of this type of corruption have been detected, which has been taking place in the National Centre for Research and Development, i.e. in the institution that distributes European Union financial grants to innovative start-ups and companies and enterprises implementing and developing new, innovative technologies in business applications.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In what way can corruption in the national system of granting non-refundable financial subsidies from the public finance system for innovative business ventures be an important element in the decline of the credibility of key public institutions supporting cooperation between business and science, a decline in the level of innovation in the economy, a decline in the effectiveness of the implementation of innovative solutions and patents created during research work, a weakening of the development of national science?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Corruption can have a significant impact on the development of innovation and entrepreneurship, and can ultimately limit a country's economic development opportunities. Here are some ways in which corruption can undermine innovation and entrepreneurship:
1.Lack of investment: Corruption often diverts resources away from productive uses and towards personal gain. This can result in a lack of investment in research and development, which is crucial for innovation and entrepreneurship.
2.Limited competition: Corruption can create an uneven playing field where only a select few have access to business opportunities, contracts, and licenses. This can limit competition and stifle innovation.
3.Weak institutions: Corruption undermines the rule of law and weakens institutions such as the judiciary and law enforcement agencies. This can create an environment where intellectual property rights are not protected, contracts are not enforced, and entrepreneurs do not feel secure in their business activities.
4. Lack of trust: Corruption erodes trust in government and institutions, making it more difficult for entrepreneurs to do business. This can lead to a lack of confidence in the market, a reluctance to invest, and a lack of motivation to innovate.
5.Brain drain: Corruption can also lead to a "brain drain" where talented entrepreneurs and innovators leave the country in search of a more stable and fair business environment.
All of these factors can limit the development of innovation and entrepreneurship, which are critical drivers of economic growth and development. By promoting transparency, accountability, and a level playing field, countries can create an environment that fosters innovation and entrepreneurship, leading to greater economic opportunities for all.
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How can the implementation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies help in the process of automated generation of marketing innovations applied on online social media sites?
In recent years, the application of new Industry 4.0 technologies in the process of generating marketing innovations applied to online social media portals has been on the rise. For the purpose of improving marketing communication processes, including advertising campaigns conducted on social media portals and promoting specific individuals, brands of companies, institutions, their product offers, services, etc., sentiment analysis of Internet users' activity in social media is conducted, including analysis of changes in social opinion trends, general social awareness of citizens by verifying the content of banners, posts, entries, comments, etc. entered by Internet users in social media using computerised, analytical Big Data Analytics platforms. I have described this issue in my articles following their publication on my profile of this Research Gate portal. I invite you to collaborate with me on team research projects conducted in this area. Currently, an important developmental issue is also the application of Big Data Analytics platforms used to analyse the sentiment of Internet user activity in social media, which uses new technologies of Industry 4.0, including, among others, artificial intelligence, deep learning, machine learning, etc. Besides, the implementation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies can help in the process of automated generation of marketing innovations applied on online social media portals. An important issue in this topic is the proper construction of a computerised platform for the automated generation of marketing innovations applied on online social media portals, in which the new generations of Artificial Intelligence, Big Data Analytics and other Industry 4.0 technologies are used.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the implementation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies help in the process of automated generation of marketing innovations applied to online social media portals?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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AI and Big Data analytics have revolutionized the way businesses approach online marketing. By leveraging these technologies, businesses can gain a deeper understanding of their customers and create more effective marketing strategies.
One of the primary benefits of AI and Big Data analytics is their ability to collect and analyze large amounts of data from various sources, including social media, website analytics, and customer feedback. This data can provide valuable insights into customer behavior, preferences, and purchasing patterns. With this information, businesses can create targeted marketing campaigns that are tailored to their customers' needs and interests.
Moreover, AI and Big Data analytics can help businesses personalize their marketing efforts. By analyzing customer data, businesses can create personalized recommendations, offers, and promotions that are more likely to resonate with individual customers. This personalized approach can help businesses build stronger relationships with their customers and increase customer loyalty.
Additionally, AI and Big Data analytics can help businesses optimize their marketing efforts by identifying trends and patterns in customer behavior. For example, by analyzing customer data, businesses can identify the most effective marketing channels, content types, and messaging strategies for their target audience. This information can help businesses refine their marketing strategies and improve their return on investment.
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Can ChatGPT be helpful to computer scientists in programming and creating new applications, complex models based on multi-criteria algorithms and computer science formulas?
When ChatGPT recently became a media topic it became apparent that, on the one hand, it can be useful for creating simple texts based on prior knowledge downloaded from the Internet but, on the other hand, in those written by this artificial intelligence technology, the written texts may contain factual errors and content that is not factually correct. This is because the texts generated by ChatGPT are created as if in a free-form creative manner by combining different elements of content from many different source texts existing on the Internet and in 2021 downloaded from the Internet and constituting the knowledge base on which ChatGPT operates. However, in terms of generating formulas, algorithms, models created during programming, ChatGPT can be helpful in terms of finding specific programming formulas as answers to the questions asked. In this way, within the process of asking successive specific questions and obtaining answers, it is possible to build complex, multi-faceted models that form the software of specific applications and computer programmes.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can ChatGPT be helpful to computer scientists in programming and creating new applications, complex models based on multi-criteria algorithms and computer science formulas?
And what is your opinion on this?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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The short answer is yes; ChatGPT can write codes for you. The platform can produce programming code and trace human steps. Nevertheless, it might be improved, and you must ensure that the code is free of flaws. One of the reasons StackOverflow forbade the use of Chat GPT-generated code is because of this.
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Shafagat
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In your opinion, is creativity and innovation important in conducting scientific research?
It is a widely held opinion that creativity and innovation is important in various aspects of people's lives, in many different spheres of human activity.
Creativity and innovation is also important in many spheres of professional activities carried out in different sectors of the economy, in different professional positions and professions of work performed. In addition, creativity and innovation is particularly important in the arts, in the creation of works of art within various fields of art. Creativity and innovation is, in its essence, a key factor in the arts. Creativity and innovativeness is also important in business, in the management of business entities, in the establishment of startups, in the creation of new technological solutions, new technologies, product and other innovations, in the creation of inventions, and so on.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, is creativity and innovation also important in conducting scientific research?
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Innovation creates a need for science.
Lou
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When will large passenger drones powered by hydrogen engines and controlled by artificial intelligence be developed, mass produced and available to the public?
As part of the rapid technological progress that is taking place, new technological solutions, innovations and patents are being developed for use in various sectors of the economy and are improving manufacturing, production and service processes. On the other hand, due to the progressing process of global warming, the growing scale of natural resources consumption, the necessity to accelerate the processes of achieving the goals of sustainable development, the processes of green transformation of the economy, achieving the goals of environmental and climate policy, increasing the scale of protection of the planet's biosphere, biodiversity and climate, the demand for new eco-innovations and green technologies is growing. In the situation of combining new information technologies and Industry 4.0 with eco-innovations and green technologies, new opportunities arise for the application of new integrated, complex technological solutions and for increasing the effectiveness of the implementation of sustainable development goals and carrying out processes of green transformation of the economy, including the green transformation of the energy sector. The green transformation of the energy sector is mainly implemented through the development of renewable and emission-free energy sources. In addition, as part of the implementation of the plan to create a zero-carbon economy, it is also necessary to carry out a green transformation of the transport sector and this in all transport segments, i.e. land, water and air transport. As part of the green transformation of the air transport sector, new technological solutions are being developed to enable the use of engines to power aircraft based on solar energy or generated by burning hydrogen in oxygen. The future of powering large transport, passenger and space aircraft is hydrogen power. On the other hand, increasingly large drones are also being built, which are currently powered by electric motors that draw on electricity stored in batteries that need to be recharged. However, this may change in the future. With the combination of new technologies already being developed and tested in aviation, it will be possible to build, for example, large personal drones powered by hydrogen engines and controlled by artificial intelligence, so that they can be flown using autonomous automatic control, i.e. autopilot. In a hydrogen-powered situation, these would also be fully zero-emission, pro-climate and pro-environmental aircraft that could fly at low altitudes. This would greatly facilitate local transport over non-long distances, both passenger and freight. Such improvements in local air transport would be particularly important in areas where there are no airports, where there is no well-developed second-hand network and where, at the same time, people live in settlements far from large cities, in remote villages and small towns and in areas of strict nature conservation without the possibility of using vehicles with combustion engines.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
When will large personal drones powered by hydrogen engines and controlled by artificial intelligence be developed, mass produced and available to citizens?
And what is your opinion on this?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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\It is feasible to developed technically but its economic feasibility needs improvement for the present prototype to be available in public domain.
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AI to recognize cardiac arrhythmias like by using thermoscanner and other physiological sensors. New way and new product without the classic electrodes.
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The Aidos-x system is an excellent intelligent system for diagnosing and classifying human diseases. The methods of using the Aidos-x system for diagnosing human diseases are disclosed in lectures with sound "Using automated system-cognitive analysis for the classification of human organ tumors", "Intelligent system for diagnosing early stages of chronic kidney disease", which can be downloaded right now from the website https ://www.patreon.com/user?u=87599532 Creator's title: «Lectures on Electronic Medicine». After subscribing to this site, you will receive databases for medical research to identify the diseases that you will read about in lectures. The acquired skills of working in the Aidos-x system will allow you to apply for grants to carry out scientific research in the field of medicine.
To subscribe to the site https://www.patreon.com/user?u=87599532 you do not need to go to the bank, but you can do it using the Pay Pal system. Send a transfer in your currencies, and the transfer to dollars will be done automatically. After subscribing on the site, you will receive the Aidos-x system with an English user interface for free.
Thank you.
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What are the new eco-innovations and green technologies that, if implemented on a large scale, would significantly mitigate the negative impacts of the current energy crisis?
Many new eco-innovations and green technologies have still not left the research laboratories, they are still in the research and testing, prototype phase. The current energy crisis should motivate both government agencies of ministries managing the energy sector and commercially operating companies and enterprises in the energy sector to subsidise the ongoing research work, conducted in research and development institutions on the creation and industrial-scale implementation of new eco-innovations and green energy technologies. The current energy crisis is characterised by rapidly rising fuel and energy prices and the increasing scale of energy shortages. In some countries, the government is offering subsidies for the purchase of more expensive fuels and energy. However, this creates another pro-inflationary factor. Another and perhaps more sensible solution to support citizens and businesses to survive the energy crisis would be to increase subsidies to R&D and scientific institutions in whose laboratories new eco-innovations and energy technologies are developed. This raises the question of what kind of new eco-innovations and green energy and other technologies being created now, what kind of R&D should be subsidised now?
The creation of what kinds of eco-innovations and green technologies should now be subsidised?
What are the new eco-innovations and green technologies whose funding of large-scale implementation programmes could mitigate the negative effects of the energy crisis?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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I strongly believe the number one innovation would be a cell to be adapted to flue gas outlets to permit air pollution control and CO2 emissions, this would not be a break to the development of other technologies, but it would allow a more smooth transition.
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What are the new eco-innovations and green energy technologies that can be implemented by citizens in the upcoming heating season in homes and apartments to reduce heating and electricity supply costs?
In the context of the current energy crisis, there is a growing demand for the creation and industrial-scale implementation of new eco-innovations and green energy technologies that would help citizens and businesses survive the currently unfolding energy crisis. The current energy crisis is characterized by rapidly rising fuel and energy prices and the growing scale of energy shortages. Rising energy and fossil fuel prices are one of the key factors in the acceleration of inflation, which has already begun to rise almost as early as early 2021. In some countries, the government is offering subsidies for the purchase of more expensive fuels and energy. However, this creates another pro-inflationary factor. In view of the above, the creation and implementation of what kind of new eco-innovations and green energy technologies should be covered by interventionist government subsidy programs (purchase of certain types of power, energy sources, e.g. to install photovoltaic panels on the roof of the building, etc.) and subsidies (preparation of homes, buildings, businesses, e.g. insulation of building facades, etc.)?
In view of the above, I address the following question to the esteemed community of researchers and scientists:
What are the new eco-innovations and green energy technologies that can be implemented by citizens in the coming heating season in homes and apartments to reduce heating and electricity supply costs?
What are the new eco-innovations and green energy technologies for which government financial support programs should be launched so that all willing citizens can implement them in their homes and better prepare for the energy crisis?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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The following research article would provide some significant research outputs regarding the potential of organic wastes as green roof substrates to make them a mitigative measure against the Urban Heat Island Effects (UHIs):
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How do local government units in your country inspire citizens to save electricity and/or heat, conserve water sparingly, segregate waste, and other pro-environmental daily practices and actions?
How do local government units, including municipalities, as part of their pro-environmental and pro-climate policies, inspire citizens to save electricity and/or heat, conserve water sparingly, segregate waste and other pro-environmental, everyday practices and actions?
There have been many different crises since the beginning of the 21st century, and there is little indication that this would change in the years to come. The dotcom crisis at the turn of the 20th/XXI century, the global financial crisis of 2007-2009, the global recession of the 2020 economy triggered by interventionist measures carried out during the 1st wave of the SARS-CoV-2 coronavirus (Covid-19) pandemic, the overly lenient monetary policy carried out during the pandemic, the strong rise in inflation and the risk of stagflation in 2020, the currently developing energy crisis, the currently developing food crisis in some poorer countries, the already ongoing climate crisis that will intensify in the coming decades. As the levels of various risks increase, the scales and frequency of various crises increase, more and more public institutions, government agencies, NGOs but also local government units are taking various anti-crisis measures. Currently, the currently developing crises in many countries are: the economic downturn caused by high inflation; the energy crisis caused by high fuel and energy prices and low levels of energy self-sufficiency and underdevelopment of renewable energy sources; the climate crisis (and in some countries also the food crisis), the consequences of which include severe heat and droughts causing a decline in the production of agricultural crops, increased energy consumption and other negative effects. The climate crisis is likely to develop for many more years. In some countries, due to the low level of energy self-sufficiency, the low level of development of renewable and carbon-free energy sources, the scale of the currently developing energy crisis is greater and in the future, the negative effects of the climate crisis may also be more severe for nature and humans. Accordingly, local government units are also inspiring citizens to use water sparingly, save energy, segregate waste and other pro-environmental daily practices and actions. However, there are big differences in this regard when comparing environmental and pro-environmental policies and realistically carried out pro-environmental activities and green projects by individual local government units.
In view of the above, I address the following research question to the esteemed community of researchers and scientists:
How do local government units, including municipalities, within the framework of their pro-environmental and pro-climate policies, inspire citizens to save electricity and/or heat, conserve water, segregate waste and other pro-environmental daily practices and actions?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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The Clean Cities Campaign is a European partnership of civil society organisations that aims to encourage cities to move to zero emission transport by 2030. The campaign promotes green transport solutions for more liveable and sustainable cities. To achieve these goals, it is essential to phase out high emission vehicles from cities as soon as possible.
Imo, such campaigns are an important tool to reach the goal of your query, dear Dariusz Prokopowicz
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What are examples of social ecological entrepreneurship undertaken from the bottom up, implemented from the bottom up by the local community of your region, city district, urban agglomeration, village?
Within the framework of social ecological entrepreneurship, citizens can, for example, run home vegetable and fruit gardens, flower gardens, flower meadows under the formula of sustainable organic farming. Besides, citizens within the framework of social ecological entrepreneurship can set up small-scale home electric and/or thermal power plants based on certain types of renewable and/or emission-free energy. Besides, conducted social clean-up campaigns in city parks and forests; donating used electronic equipment, consumer electronics, household appliances, etc. to electro-waste collection points; setting up associations and other organizations implementing periodic events, picnics, festivals, etc., aimed at pro-environmental and pro-climate education of citizens. From the bottom up, citizens' ventures in social ecological entrepreneurship can be an important part of the green transformation of the economy and the realization of sustainable development goals. Besides, local governments are also increasingly taking measures to support the activity of citizens within the framework of social ecological entrepreneurship. Projects implemented within the framework of the participatory budget (1 percent of the local government's budget) can be implemented projects proposed by residents, which can be part of the current trends of pro-environmental, pro-climate, green transformation of the economy, in the green transformation of the local government and/or municipal economy and the realization of sustainable development goals. The civic activity of municipal residents can also be carried out within the framework of social ecological entrepreneurship through activities implemented socially by citizens on the basis of an agreement with the local government. Many times, many small activities carried out by citizens within the framework of social ecological entrepreneurship can produce more positive effects than short-term, few larger projects carried out by large business entities.
In view of the above, I address the following question to the esteemed community of researchers and scientists:
What are the examples of social ecological entrepreneurship undertaken from below by the local community of your region, city district, urban agglomeration, village?
And what is your opinion on this topic?
What do you think about this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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None: any type of entrepreneurship of that type is neglected by a series of rules that prevent the real eco-sustainability of any activity.
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Hello. I would like to ask for examples of research topics related to entrepreneurship, innovation, leadership, corporate or business? The topic needs to use secondary data. Thank you so much for your time.
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Dear Professor,
Thank you for the interesting question.
Usually while writing review articles, we can use secondary data.
I had pursued my Ph.D. on maintenance of continuity of professional careers. At that time, I had written a review article on researches pursued on this area or related areas. That article was based on secondary data.
Hoping that my answer meets your purpose.
Best regards,
Anamitra.
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What are the currently created eco-innovations and implemented green technologies for the utilization of used photovoltaic panels?
One of the important factors limiting the development of solar energy may be the still existing lack of eco-innovations and green technologies for the utilization of used photovoltaic panels, implemented on an industrial scale. In many countries, many new photovoltaic panels are currently being installed on buildings. The current energy crisis may additionally accelerate the development of renewable and zero-emission energy sources. However, for a few, a dozen or a max. Several dozen years, millions, and globally billions of photovoltaic panels will be dismantled due to wear and tear and should be disposed of, not landfilled. This is an important issue taking into account the potential contamination of the natural environment with toxic substances contained in photovoltaic panels.
In view of the above, I would like to address the following question to the Distinguished Community of Researchers and Scientists:
What are the currently created eco-innovations and implemented green technologies for the utilization of used photovoltaic panels?
What innovative technologies for utilization of photovoltaic panels are currently working on by scientists and researchers in laboratories, which can become new eco-innovations and green technologies and can be implemented on an industrial scale?
What new eco-innovations and green technologies can solve the problem of recycling used photovoltaic panels in the future?
Please reply,
I invite everyone to the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Perhaps you should read the paper included in https://www.circusol.eu/en/nieuws/67/eco-innovations-for-pv-panels.
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Will green cryptocurrencies be created with which new, pro-environmental and pro-climate, green economic ventures will be financed?
Is this a purely futurological vision or is it already feasible?
Green cryptocurrencies should be developed according to new eco-innovative technologies, so that their creation, digging will use much less electricity than today. Currently, digging cryptocurrencies still uses as much energy as a medium-sized country on a global scale. The issue of saving electricity consumption is particularly relevant in the context of the current energy crisis and, in the future, also in the context of a multi-year developing climate crisis. Therefore, green cryptocurrencies, which will be used to finance new pro-environmental and pro-climate green business ventures, should also be created using many times less electricity than at present in order to be green in themselves.
In what direction will the development of green cryptocurrencies develop? Will green cryptocurrencies be used to finance new pro-environmental and pro-climate green business ventures or will green cryptocurrencies be cryptocurrencies that are mined using significantly less electricity than at present?
Or perhaps both? This would be best for the environment, the climate and the planet's biosphere.
In view of the above, I address the following questions to the esteemed community of researchers and scientists:
Will green cryptocurrencies be created with which to finance new environmentally and climate-friendly green economic ventures?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Energy Web, Alliance for Innovative Regulation, RMI, and the World Economic Forum convene various activities in support of the Crypto Climate Accord (CCA). Inspired by the Paris Climate Agreement, the CCA is a private sector-led initiative for the entire crypto community focused on decarbonizing the cryptocurrency and blockchain industry in record time.
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The crypto industry has a unique opportunity
to reduce emissions, showcase industry-wide decarbonization, create new demand for clean technologies, and increase access to customers and capital with interests in sustainability. However, to achieve these goals, any actor in the crypto industry will need a comprehensive way to measure, track, and report their electricity use and the associated GHG emissions. The crypto industry also will need guidance around the pathways and mechanisms available to achieve 100% decarbonization.
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The BMC revealed that it successfully collected sustainable energy information from over 32 percent of the current global Bitcoin network in its first ever voluntary survey. The results of this survey show that the members of the BMC and participants in the survey are currently utilizing electricity with a 67% sustainable power mix. Based on this data it is estimated that the global mining industry’s sustainable electricity mix had grown to approximately 56 percent, during Q2 2021, making it one of the most sustainable industries globally.
————————-—
Let's create a new standard.
We believe that it is time for a new way of doing business. The guiding principles of the future economy are sustainability, traceability, and transparency. Our ESG ratings take this new value system into account and promote the development of sustainable crypto solutions.
——————————
Conclusion:
Eco-cryptos, which represent a clean energy index, will surely emerge as a digital currency tool for eco-logical business ventures.
————-—
Ref/
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What is the role of local government units in terms of activating entrepreneurship and innovation, in terms of developing cooperation with local business, supporting the development of cooperation and clusters of companies cooperating with other entities, stimulating economic development in the municipal area, in the region?
In the context of the forecast decline in the economic activity of companies and enterprises in the coming quarters, the projected downturn in the national and regional economy, the decline in production and investment, the increase in unemployment and the current economic problems associated with high inflation, the importance of activating entrepreneurship and innovation of economic entities is growing. Within the framework of the interventionist, anti-crisis, Keynesian socio-economic policy, the government and central government agencies carry out programmes to activate entrepreneurship and innovativeness of economic entities, including companies and enterprises of the SME sector using specific financial instruments of fiscal, budgetary, sectoral policies, etc. On the other hand, a particularly important role in the activation of entrepreneurship and innovativeness of business entities of the SME sector operating in the area of the local economy of the municipality is also played by local government units. Local self-governments play an important role in terms of activating entrepreneurship and innovation, in terms of developing cooperation with local business, supporting the development of cooperation and clusters of companies cooperating with other entities, stimulating economic development in the area of the municipality, in the region. Effectively and efficiently conducted by local governments in this regard can significantly reduce the scale of downturn development in the local economy. When many units of local self-government efficiently activate economic processes, entrepreneurship and innovativeness, then the whole national economy goes through an economic crisis, recession, downturn more smoothly. As a result, the scale of the increase in unemployment and economic downturn is lower.
What do you think about this subject?
Please reply,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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The local government units in my country play a vital role in promoting entrepreneurship particularly livelihood to the marginalized sectors of the community. In the partnership and linkages with different agencies like academe and industry, they were a great alliance in terms of uplifting the lives of the local people. While the academe provides technical expertise such as business planning, product development, mentoring and coaching for entrepreneurial activities, they likewise provide support like allocation of funds and resources to continue or sustain these programs, projects and activities.
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Would you please share your experience from where I can collect firm-level green patent citations for green innovation? Please mention the name of the source ( I prefer free one).
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Thank you so much, Dr.Tim John Hewson for sharing your experiences. Dr. Is Espacenet has a firm-level patent citation?
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What types of pro-environmental and/or pro-climate economic ventures are being carried out in your country as part of green entrepreneurship?
What kind of pro-environmental and/or pro-climate economic ventures are being carried out in your country that represent the development of green entrepreneurship?
What kind of pro-environmental and/or pro-climate economic ventures are carried out by citizens that represent green entrepreneurship development?
Are these, for example, innovative solutions implemented in the construction of small-scale, backyard electricity and/or heat generating power plants using renewable and emission-free energy sources?
Are they eco-innovations improving waste separation and recycling technologies? Or are they green technologies facilitating the capture of rainwater, which is then used for household purposes, agriculture, watering home gardens, etc.?
Or are they other kinds of eco-innovations, green technologies that contribute to green entrepreneurship?
Please reply,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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When considering green ventures that depend on reduction or capture of carbon dioxide, you should consider William Happer’s assertion: that, at 400ppm, absorption of infrared radiation by CO2 is substantially saturated, so that further increases in CO2 will have vanishing effect on global temperature. https://arxiv.org/pdf/2006.03098.pdf If Happer is correct, and I have found no scientific rebuttal of his data, then a large amount of green energy activity is pointless.
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During my studies at the Berlin University of Applied Sciences, I had the topic of design thinking as part of product management. That was real interesting for all of us. Now I'm writing my bachelor's thesis on the question of how design thinking can be used in future projects and exercises.
What experiences have you gained with design thinking that can be used sensibly at a university? What advantages and disadvantages do you see?
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Design thinking develops. There are dimensions such as framing the problem, envisioning solutions, specifying materials and techniques, preparing, implementing, and querying within all other dimensions. But as I learned by conducting developmental interviews with 80 faculty members from the Savannah College of Art and Design in 20 departments ranging from architecture to interactive design and game development. These dimensions can be divided into more detailed dimensions and each dimension goes through four increasingly complex modes of practice, which we identified as the beginning, exploring, sustaining, and inspiring modes. Each mode is imbedded in the next resulting in a new scale of development and time to establish. I used a computerized text analysis based on pairs of keywords to group the faculty answers into dimensions and define the modes within each.
The methods and results are detailed in my book Teachers, Learners, Modes of Practice: Theory and Methodology for Identifying Knowledge Development. Routledge, 2017. See especially, Chapter 5 and the 20 pages of appendices on the Design Praxosystem.
To help make the results easily accessible, I wrote a novel where the SCAD results were applied to the development of artificially intelligent robots. The novel is called How they designed my kind: The Autobiography of the First Artificially Intelligent, Conscious Being and is available free at changingwisdoms.net/Joshua.
A disadvantage of design thinking lies in people’s narrow conceptions of what it is and where to use it. Both sources above show ways that people’s narrow conception of design thinking can be overcome. Design thinking applies way beyond products. Education, social services, personal relationships, emergency responding, political activity, writing, drawing, conducting research are a few of the areas I have seen people apply it.
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Is there any database where I can get firm-level green R&D data for the US or Chinese listed firms? I want to use firms' green R&D investments as proxies for green innovation.
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Md Azizur Rahman, I believe this website will be helpful for you https://www.energy.gov/R%26D
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Agriculture is known to provide various innovations from time -to -time , but in the process , we sometimes land in no man's land, and often try to take agriculture to backfoot so miserably in mad rush for improvement . Like that , there is one concept called Zero Budget Natural Farming , dont know , what is the base to advocate this concept, often under the garb of Organic Farming , though both are quite different concepts and work on entirely different premises. Here are some clarifications requested to our collagues for their responses :
* What is the working premise of zero budget natural farming ?
* What is the need of advocating such concept of farming amidst conventional farming?
* Are we not in a position to sustain the current trend of sustainability agriculture and need to bring such concept having hardly any scientific base?
* Has this concept been ever evaluated in a scientific and time frame manner?
* How do you see the future of zero budget farming ?
* Can it be conceptually sustainable?
Like that , you go on adding .....
Your repsonses, please....
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Zero-budget natural farming (ZBNF), popularised by Maharashtrian agriculturist and Padma Shri recipient Subhash Palekar, refers to the process of raising crops without using chemical fertilisers and pesticides or any other external materials.
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Dears,
The following questionnaire is a part of my Ph.D. Thesis Degree in Civil Engineering and Construction from University of Bolton, UK.
You are kindly requested to reply to the following questions with a level of accuracy. Thanks a lot for your highly appreciated support. Furthermore, please share the questionnaire with your communities.
Sincerely Ashraf Ibrahim Nasr Elhendawi
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Participated in the questionnaire survey, Asharf. Good Luck and best wishes for your thesis and letting me know your email address and so, I can also share the questionnaire that I will develop to you via emails for the data collection, Ashraf Elhendawi .
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Activation of entrepreneurship and innovation is essential for effective socio-economic development of the national economy.
Failure in entrepreneurship in the context of entire markets, sectors, the whole society, the entire economy is a negative effect of taking risks in the situation of starting a business and running a business.
This is the price of few, spectacular business successes. Therefore, it should not be reduced due to the existence of investment risk. Investment risk should be examined, analyzed, measured and hedged, for example, in the form of maintaining established, estimated financial provisions for the situation of potential loss of financial liquidity. An entrepreneur should take risks, accept a certain level of investment risk, measured and hedged risk.
Entrepreneurship should be supported by both public sector institutions and through private investment funds that finance the development of innovative startups. In modern knowledge-based economies, the state through central and through local government public institutions should support the development of entrepreneurship and innovation.
In view of the above, the current question is: Should the state support the development of entrepreneurship and innovation?
Please, answer, comments. I invite you to the discussion.
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I also think that.
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How can we measure these capabilities by looking at innovation as a process, not an outcome?
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Companies can develop using high-quality raw materials, as well as the application of the international quality systems ISO standard, as well as the use of technology in industry.
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I have recently begun reviewing the literature on the question of how human societies/cultures influence individual as well as collective innovative behaviour. Since there exists some work on this subject and many different approaches, I wanted to ask for recommendations: What are the must-reads?
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If you are interested in Innovation you must address human networks and the how ideas and collaborations flow and form through those networks. Human capital and social capital work together to create Innovation.
A good article to start with is: http://orgnet.com/IHJour_XII_No5_p38_42.pdf
Followed by a deeper dive on the Social Origins of Good Ideas: http://www.analytictech.com/mb709/readings/burt_SOGI.pdf
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Logistics seeks both to address real-world problems and research questions and to unite terminological, conceptual and methodological research aspects. In the last 20 years, biological research has developed extremely powerful methods and tools for fundamental and applied research. There is furthermore an increasing desire to build integrative research platforms that combine interdisciplinary and multi-level data to the structural complexity of biological systems. How much attention do you give to logistics for your research plans? Do you think logistics supports research methods, innovation, quality, value, and impact as well as training and participation opportunities for students as well as for practitioners? If so how and if not why not.
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Andrew Lewis
- You've made excellent points with clear analogies - thank you! I agree with your synopsis that "Transitioning biological understanding to this next level is certainly in large part a logistical problem" and that we must strive to the "coordination of manpower and computational power resources being put towards the pursuit of understanding things at this level."
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Hello everyone,
After a conference, the Journal of Strategic Innovation and Sustainability (JSIS) send me an Email to published my conference paper.
Do anyone know this journal? Is it a predator one? I search on Google but didn't find the answer.
Thanks in advance.
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Appreciated Prof Rob Keller! , you clarified many things.
Also thank dear Dr Emmanuel Salim, for his fine question.
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Innovative Startup & Venture Capital?
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This guide will give you a better context to understand the language of startups, venture capitalists, angel investors, and incubators.
If you wish to pursue a career in Venture Capital or in any startup, knowledge of these commonly used VC terms may be beneficial: https://in.prosple.com/resources/common-venture-capital-terms?utm_medium=social&utm_source=researchgate
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The development of smart cities is a part of the broader concept of sustainable pro-ecological development based on the use of modern, innovative information technologies and in addition to ecology.
In this way, the development of smart cities also improves people's lives and can make people happier.
Do you agree with me on the above matter?
Please reply
Best wishes
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Dear Leila,
Yes, I agree with your thesis that the development of smart cities will significantly improve people's quality of life, because modern infrastructure and amenities mean fewer development, system and infrastructural constraints. In my opinion, the development of smart cities should take into account the implementation of the principles of environmental policy, sustainable development goals and the green circular economy. Therefore, the development of modern cities should follow the model of sustainable, pro-environmental smart cities.
Thank you very much,
Best wishes,
Dariusz
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What makes a researcher independent and how this can be practised? How to enable any such skill among PhD/Post-Doc students, or even before that stage? Please Feel Free to add your observation, arguments and experience.
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Thanks, Dr. Aung Ze Ya.
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What types of eco-innovation are being developed in your country?
What kind of ecological innovations should be developed in your opinion?
How should they be finansed, whether by the industry from commercial enterprises funds, or by the state from public funds or in the framework of public-private partnership?
What types of renewable energy sources should be refined and developed through new eco-friendly innovations? What kind of scientific research dominate in the field of ecological innovations?
Please reply. I invite you to the discussion
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Dear Dr Dariusz Prokopowicz . The topics including: carbon capture and storage systems, more efficient irrigation methods, essential medicines, household water purification devices, and manufacturing processes that minimize waste and pollution.
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What kind of scientific research dominate in the field of Scientific research in the era of Industry 4.0?
Please, provide your suggestions for a question, problem or research thesis in the issues: Scientific research in the era of Industry 4.0.
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I invite you to the discussion
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Industry 4.0 as component of the current context of the business:
"Impact of Industry 4.0 on Business Management Style".
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Schumpeters theory of "creative destruction" states that capitalism is never static, it is always evolving and old products are replaced by new ones. There is however a lag, or overlap where the old product still exist and people cintinue to invest in its development , but also at the same time a development of newer and better products.A prime example is the issue of type writers that was evolving even though computers started to overtake typewriters in sales and even as computers became the dominant product. Some as a well known Swedish manufacturer named Facit invested so heavily and could not see what was happening that they didnt seek to develop new and different products. In some cases governments are seeking to protect the old by regulation or other supportive meassures. One example of this is the use of fossile fuel in the US. Something critics fear will prevent the development of greener and more effective sources of energy. My question is, should governments like this support industries for the sake of employment or other reasons, or should Darwinism take its course? Is the developlent of new products always a good thing? Maybe we will have a rise of the Maschines and Terminators roaming the streets, or perhaps the development of new techlologies is a good thing in most cases and should not be hindered. What are your thoughts? The word is free!
Best wishes Henrik
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Kindly visit..
Leaders 2 TimeSuccession_TermLimitsGoldenP_J,AppS0cSci_Publihsed 21.9.2019
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In Pharmaceutical professional fields such as Regulatory Affairs or Product Development it is of much importance to know the innovator of a product for obvious reasons. But it is not a very simple task using commonly used search engines. I was wondering if any one has a better way to search for them, like a data bank or something.
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I have recently come across many online forums recommending Kaggle for people wanting to get into machine learning or data science. However, I would like some scholarly opinions on this website: https://www.kaggle.com/
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Kaggle is very good for beginners in machine learning and deep learning. The certification courses are excellent.
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Can the activation of innovation and entrepreneurship be an important factor in defending the domestic economy against the forecasted, progressive slowdown in economic growth in the global economy in 2019?
Does the activation of economic processes through the development of pro-development innovation policy programs, activation of innovation and entrepreneurship can be an important factor in defending the national economy against a progressive slowdown in economic growth in the global economy and against the risk of a recession in the domestic economy that could occur through cross-border trade and international capital flows?
The importance of this question is important especially for countries with an open economy with a large share of cross-border trade and the growing share of globalization processes. In addition, this question is valid in the context of the projected slowdown in economic growth in many countries in 2019.
In view of the above, I am asking you the following question: