The book titled The Collaborative Economy in Action: European Perspectives is one of the important outcomes of the COST Action CA16121, From Sharing to Caring: Examining the Socio-Technical Aspects of the Collaborative Economy that was active between March 2017 and September 2021. The Action was funded by the European Cooperation in Science and Technology - COST. The main objective of the COST Action Sharing and Caring is the development of a European network of researchers and practitioners interested in (...) investigating the collaborative economy models, platforms, and their socio-technological implications. The network involves scholars, practitioners, communities, and policymakers. The COST Action Sharing and Caring helped to connect research initiatives across Europe and enabled scientists to develop their ideas by collaborating with peers. This collaboration opportunity represented a boost for the participants’ research, careers, and innovation potential. The main aim of this book is to provide a comprehensive overview of the collaborative economy in European countries with a variety of its aspects for a deeper understanding of the phenomenon as a whole. For this reason, in July 2017, an open call for country reports was distributed among the members of the COST Action Sharing and Caring. Representatives of the member countries were invited to produce short country reports covering: definition of the CE; types and models of the CE; key stakeholders involved; as well as legislation and technological tools relevant for the CE. Submitted reports varied in length and regarding the level of detail included, in accordance with how much information was available in each respective country at the time of writing. Editors of the book have compiled these early reports into a summary report, which was intended as a first step in mapping the state of the CE in Europe. The Member Countries Report on the Collaborative Economy, edited by Gaia Mosconi, Agnieszka Lukasiewicz, and Gabriela Avram that was published on the Sharing and Caring website, represented its first synergetic outcome and provided an overview of the CE phenomenon as interpreted and manifested in each of the countries part of the network. Additionally, Sergio Nassare-Aznar, Kosjenka Dumančić, and Giulia Priora compiled a Preliminary Legal Analysis of Country Reports on Cases of Collaborative Economy. In 2018, after undertaking an analysis of the previous reports’ strengths and weaknesses, the book editors issued a call for an updated version of these country reports. Prof. Ann Light advised the editorial team, proposing a new format for country reports and 4000 words limit. The template included: Introduction, Definition, Key Questions, Examples, Illustration, Context, Developments, Issues, Other Major Players, and Relevant Literature. The new template was approved by the Management Committee in October 2018. The task force that had supported the production of the first series of country reports acted as mentors for the team of authors in each country. The final reports arrived at the end of 2018, bringing the total number of submissions to 30. A call for book editors was issued, and a new editorial team was formed by volunteers from the participants of the COST Action: Andrzej Klimczuk, Vida Česnuityte, Cristina Miguel, Santa Mijalche, Gabriela Avram, Bori Simonovits, Bálint Balázs, Kostas Stefanidis, and Rafael Laurenti. The editorial team organized the double-blind reviews of reports and communicated to the authors the requirements for improving their texts. After reviews, the authors submitted updated versions of their country reports providing up-to-date interdisciplinary analysis on the state of the CE in 2019, when the reports were collected. During the final phase, the chapters were again reviewed by the lead editors together with all editorial team members. At the time, the intention was to update these reports again just before the end of the COST Action Sharing and Caring in 2021 and to produce a third edition. However, the COVID-19 pandemic changed these plans. Thus, this final volume was created by 82 scholars-editors and contributors-and consists of reports on 27 countries participating in the COST Action. M4 - Citavi. (shrink)

The term collaborative economy itself is relatively new, and according to the European Commission, the term is used interchangeably with the term sharing economy. The term SE was frequently used when early models, such as Airbnb or ZipCar, appeared and gained popularity, especially in the United States, but it was afterwards substituted with the term CE in the European contexts. The country reports in this collection often use the two terms interchangeably, further illustrating the fact that a generally agreed (...) definition is still missing. However, the ambition driving the term CE is to create specific European economic models with greater emphasis on the community’s involvement. In Europe, it is still the case that the definition of the CE and SE remains fuzzy, including both non-profit and for-profit models, supported by both monetary and non-monetary exchanges among participants. The phenomenon is complex, covering various fields of activity, as well as operating at various levels, ranging from the international to the national, regional, and local. Some definitions focus mostly on sustainability, while others highlight technological and financial aspects and business models specific to the phenomenon. This chapter is organized as follows. First, a short overview of the basic theoretical approaches to CE is presented. Further, the structure of the book is discussed in detail, and the text closes with a summary. M4 - Citavi. (shrink)

Collaborative learning emphasizes student-to-student interaction and the instructor’s role as a facilitator. Collaborative Online International Learning (COIL) was founded in 2005 by the State University of New York (SUNY) to help schools adapt their single classroom courses to an online, collaborative format and establish strong collaborations with professors with whom they would join classes and co-teach using SUNY COIL conferences and website, as well as pre-established partnerships between the institutions. However, as the globe becomes increasingly interconnected, educational (...) challenges aimed at cultivating intercultural competency become more important (Ceo-DiFrancesco & Bender-Slack, 2016). That is why this study aimed to (1) understand the lived experience of students who went under the COIL program in relation to SDG 12, (2) review the new knowledge students obtained when they took part in the COIL program in relation to SDG 12, and (3) discover the challenges students encountered while participating in the COIL program in relation to SDG 12. The researcher surveyed Filipino and Japanese students who participated in the COIL program concerning SDG12 from St. Patrick School of Quezon City, Kwansei Gakuin University, and Meiwa Senior High School. The study employed qualitative phenomenological research, and pertinent data were obtained through an open-ended survey questionnaire. The study was analyzed using Colaizzi’s descriptive phenomenological method. The results showed that the lived experiences of students who went under the COIL program in relation to SD12 have something to do with all their learnings and enjoyable experiences, intercultural and global interactions, and environmental discussions and action plans related to SDG 12. Moreover, students learned and understood better the negative impact of waste on the environment, environmental awareness and practices, the culture and norms in the Philippines and Japan, and the importance and benefits of collaboration. Lastly, the study also revealed the different challenges students encounter while participating in the COIL program in relation to SDG 12, such as cultural differences, language barriers, technical difficulties, and difficulties in experimentation. Thus, it was recommended to learn to adapt to everyone and adjust according to countries’ different cultures, practice and be proficient with the English language, have backup devices and platforms to use to ease technological problems, and improve implementations of experiments. (shrink)

Collaborative economies are business models whose activities have their origins in the use of digital platforms. There, shared consumption is practised in various forms of peers with either profit or non-for-profit outcomes. By means of several EU-wide studies, this report takes a closer look at the CE in Austria. Apart from the accommodation sector, Austria presents an EU-below average use of services offered on sharing platforms. Examples portray a field of tension from activities of low-threshold initiatives at the (...) local level to capital-oriented actors. Such global players have established themselves the sharing economy and now represent a lot of challenges impacting the state regulatory systems and domestic market participants nationally. Thus, Austria is currently dealing with questions of regulation and tax legislation of CE. Looking at national CE initiatives, the capital region of Vienna is at the forefront of consolidation while omitting the majority of Austrians living in rural regions. Further research is needed to raise questions about law challenges, to address the strong tendencies of precarisation of service work, evoked by sharing platforms, to face the current constraints in managing this vigorous dynamic of economic transformation processes. (shrink)

This chapter explains the rationale behind the book. It provides basic definitions of the concept of the sharing economy as well as the primary meanings related to the subject of the analysis undertaken in the subsequent chapters. This Introduction also includes a description of the main benefits of the analysis of the sharing economy from a European perspective. It highlights that the idea of the book emerged from the collaboration of most co-authors in the COST Action CA16121 ‘From Sharing to (...) Caring: Examining Socio-Technical Aspects of the Collaborative Economy.’ Finally, the outline of the book is presented, providing a description of the content of each chapter within this academic collection. (shrink)

This open access book considers the development of the sharing and collaborative economy with a European focus, mapping across economic sectors, and country-specific case studies. It looks at the roles the sharing economy plays in sharing and redistribution of goods and services across the population in order to maximise their functionality, monetary exchange, and other aspects important to societies. It also looks at the place of the sharing economy among various policies and how the contexts of public policies, legislation, (...) digital platforms, and other infrastructure interrelate with the development and function of the sharing economy. The book will help in understanding the future economy models as well as to contribute in solving questions of better access to resources and sustainable innovation in the context of degrowth and growing inequalities within and between societies. It will also provide a useful source for solutions to the big challenges of our times such as climate change, the loss of biodiversity, and recently the coronavirus disease pandemic. This book will be of interest to academics and students in economics and business, organisational studies, sociology, media and communication and computer science. (shrink)

2019 was a year when the sharing economy and collaborative consumption was starting to make a significant impact on Norwegian society and way of life. With international hospitality and mobility services leading the way, several home-grown digital platforms also saw noticeable growth in users and income. New legislation was put in place to support an orderly transition to an economy that makes better use of idle resources. While the COVID-19 pandemic of 2020 has dealt a major temporary setback (...) to this development, this chapter documents how the Norwegian economy was experiencing rapid change that may soon return. (shrink)

To outline the emerging landscape of sharing economy services in Switzerland, this report synthesizes prior market research and technology assessment studies on collaborative consumption and its role in the Swiss workforce. It offers a bird's-eye view of key stakeholders in contemporary Swiss sharing economy services, as well as the models and tools adopted by these services. It also provides several examples of local sharing economy initiatives and identifies emergent issues in this space. The report concludes with suggestions for (...) further reading and research inquiries. (shrink)

Over the last decade, the phenomenon called collaborative economy or sharing economy gained significant dimensions and crossed many sectors of economic and social life, creating new business models. Despite the growing interest, there is no single concept for its definition, manifestations, impacts and business models, while at the same time, digital platforms have allowed its sophisticated development. The seen emergence of sharing economy in Bulgaria brings out the need to study the phenomenon at the national level, its context, development, (...) stakeholders. The aim of this chapter is to shed light on the main manifestations and regulatory issues of the sharing economy in Bulgaria and to discuss its stage of development critically. The first part starts with a review of definition aspects and academic conceptualisation of the sharing economy and key issues. In the second part, aspects of the context and manifestations in the development of the phenomenon are discussed. Then, looking at several national examples of market players, an attempt is made to present the sectoral scope of the sharing economy and its development and to highlight the active stakeholders in the market. The study concludes with a discussion on the policies to be developed at the national level and future research to be carried out in order to catch the potential opportunities and overcome potential barriers. (shrink)

Everyday media consumption leaves no doubt that the perception of moving images from various media is characterized by experience and understanding. Corresponding research in this field has shown that the stimulus patterns flooding in on us are not only processed mentally, but also bodily. Building on this, the following study argues that incoming stimuli are processed not only visually, but multimodally, with all senses, and moreover affectively. The classical binding of a sensory organ to a medium, on whose delimitation (...) the common understanding of multimodality is based, is thus abolished. Can arguments for this assumption be found? Building on the research of cultural anthropologist Ernst Cassirer and his successors, the two American philosophers Susanne K. Langer and John M. Krois, and supported by research from the life sciences in which, in parallel, the arts also play an important role in understanding image formation, as in the work of Heinz Werner and, following on from this, in the more recent research of the child psychologist Daniel N. Stern in collaboration with mirror neuron research by the group of neuroscientists around Giacomo Rizzolatti in Parma, justifications for this will be provided. What the multimodal processing of film images is concretely based on will finally be made clear by means of an exemplary analysis of a video film by the Swiss artist Pipilotti Rist. It aims to prove, that the prerequisites for the thesis can only lie in the fact, that both the modes of perception (visual, tactile, auditory, olfactory, gustatory) as well as the medially conditioned modes of image formation are based on non-discursive, formal-abstract structures that are also processed affectively. At the same time, the analysis thus shows how the selection and composition of the vital experienced forms can provide information about the socio-culturally shaped self-image of the producer and the viewer. (shrink)

The issue of climate change poses an important problem that requires immediate collaboration from everyone, including individuals, governments, and businesses. While consumption culture constitutes a significant proportion of greenhouse gas emissions, most of these emissions are caused by the consumption of the wealthiest. In this article, we will explore the challenges that consumer culture has exacerbated regarding climate change and propose that transitioning to a simpler and more sustainable lifestyle could be an effective solution in the fight against (...) climate change. Such transitions can be leveraged through the inspiration of celebrities (e.g., Keanu Reeves, Chow Yun-fat, Kristen Bell, Leonardo DiCaprio) that pursue simple, non-glamorous lifestyles that do not promote excessive consumerism. (shrink)

This article investigates the specific cultural and collaborative nature of China’s public spaces and how they are formed through performative appropriations. Collective cultural practices as political participation were encouraged during the Mao era when cultural activities played a key role in workers’ education and participation. Since the opening-up period, performance in public space has become widespread in China and creates alternative community spaces that constitute alternatives to capitalist spaces of consumption. Using Habermas’s theory of communicative action, we argue (...) that cultural practices performed in public space create a proletariat public sphere that plays a wider role in governance and China’s democratization. Further, the article examines performative practices in public space. It traces the popular activity of public square dancing through history and counters this research with a parallel study of a much younger skateboarding practice. The two practices are very differently rooted. Yet both practices appear to move through cycles of disruption and appropriation, followed by an affirmation of governmental rule. The studies reveal that western ideas of citizenship and individual leisure are less applicable. Public spaces are largely managed through collaborative practices, whereas contemporary scholarship reaffirms Fei Xiaotong’s description of Chinese society as individuals positioned within a complex network of concentric circles. (shrink)

The chapter describes the sharing economy in Germany as a heterogeneous dynamic, combining local trends and histories with economic forms drawing on experiences mainly from across Europe and North America. Increasingly taken into account by policymakers in the regulation of markets and the redesign of innovation governance frameworks, “sharing” as a complex nexus linking the exercise of citizenship to sustainable consumption and informational self-determination in digital societies will continue to drive and frame the creation of value chains. Of particular (...) interest are linkages between sharing economies and the traditions of cooperativism, currently experiencing a renaissance. The latter is key because it shapes the context in which sharing economy initiatives exist and expand—an opening of definitions and narrative of innovation, of value, and of collaborative agency and cooperative management. (shrink)

The modernization of Burgundy during the late nineteenth and early twentieth centuries drew on the coordinated efforts of numerous industrial and cultural sectors. Among these innovative developments, new tourism industries played a prominent role in providing new opportunities for the consumption of local products while redefining existing conceptions of Burgundian landscapes. This entailed collaboration of a variety of cultural intermediaries ranging from local boosters to politicians and from merchants to academics. Geographers contributed by incorporating symbolic, subjective, and performative practices (...) into the existing regional concepts of terroir and genres-de-vie. The result was newly scripted roles for tourists and locals to participate in gastronomic activities that, by virtue of the experience, altered participants’ experience of time, space, and themselves. Rapidly institutionalized in Burgundy, these developments illustrate how contemporary commercial interests influenced geographic notions of place in the French provinces. (shrink)

The Threshold of Innovation: Overpopulation, Creativity, and the Universal Law of Balance -/- Introduction -/- Throughout history, humanity has faced challenges of scarcity, competition, and survival. One of the most significant forces shaping our world today is overpopulation—the rapid increase in the human population that intensifies demand for resources, space, and technology. Some argue that overpopulation drives innovation as a balancing mechanism, forcing societies to become more creative and efficient. However, there is a threshold beyond which innovation may no longer (...) be able to keep up with demand, leading to instability and collapse. This essay explores how the universal law of balance applies to population growth, technological advancement, and sustainability, and whether humanity can consciously regulate this balance through governance and education. -/- Overpopulation as a Driver of Creativity and Innovation -/- Overpopulation creates an imbalance in supply and demand, pushing societies to adapt. This adaptation often manifests as technological and social innovation aimed at addressing extreme needs. Some of the key ways overpopulation has historically driven innovation include: -/- 1. Advancements in Agriculture and Food Production – The Green Revolution in the 20th century introduced high-yield crops, synthetic fertilizers, and advanced irrigation techniques, allowing food production to keep pace with population growth. -/- 2. Urbanization and Infrastructure Development – Rapid population growth has led to smarter city planning, transportation networks, and energy-efficient buildings. Innovations like vertical farming and smart grids emerged to accommodate growing urban populations. -/- 3. Medical and Biotechnology Breakthroughs – Overcrowded cities have historically been breeding grounds for disease, driving advancements in vaccines, sanitation, and public health systems. -/- 4. Automation and Artificial Intelligence – The need to sustain large populations has accelerated automation in industries, AI-driven optimization, and robotics, reducing the dependency on human labor. -/- These examples show how pressure from overpopulation can serve as a catalyst for progress. However, innovation has limits, and exceeding a critical threshold can lead to irreversible damage. -/- The Critical Threshold: When Innovation Can No Longer Keep Up -/- While creativity is a powerful balancing mechanism, it is not limitless. Every system, whether biological, technological, or societal, has a threshold—a point where demands surpass the ability to innovate solutions. Signs that humanity may be approaching this threshold include: -/- 1. Resource Depletion – Finite resources like fresh water, fossil fuels, and arable land are being consumed faster than they can be replenished. -/- 2. Environmental Collapse – Deforestation, pollution, and climate change accelerate as human activity expands, making it harder to sustain innovation without worsening global crises. -/- 3. Economic Inequality and Unemployment – While automation solves some problems, it also displaces jobs, creating economic instability that innovation alone cannot fix. -/- 4. Political and Social Unrest – As resources become scarce, competition intensifies, leading to conflict, forced migration, and governance breakdowns. -/- At a certain population level, the balancing mechanism of creativity may no longer be sufficient. Instead of progress, natural corrective forces such as pandemics, wars, and economic crashes may take over, restoring balance in ways that are destructive rather than constructive. -/- Can Humanity Consciously Regulate the Balance? -/- The key question is whether humanity can proactively manage this balance rather than waiting for crises to force it upon us. Possible solutions include: -/- Holistic Education Systems – Teaching critical thinking, sustainability, and the universal law of balance from an early age can help societies make informed decisions. -/- Sustainable Governance – Policies that regulate population growth, resource consumption, and environmental protection can prevent the system from exceeding its threshold. -/- Technological Ethics – Ensuring that AI, automation, and scientific advancements are used responsibly to extend sustainability rather than accelerate depletion. -/- Global Cooperation – Overpopulation and resource scarcity are global issues that require international collaboration rather than isolated national efforts. -/- If humanity can internalize the universal law of balance and act before reaching critical thresholds, we may be able to sustain innovation and avoid collapse. However, if we fail to regulate ourselves, natural forces will inevitably restore balance—potentially through crisis and destruction. -/- Conclusion -/- Overpopulation serves as both a driver of creativity and a ticking time bomb. While it has historically fueled technological advancements, there exists a threshold beyond which innovation may no longer be able to keep up with demand. The universal law of balance suggests that every system—biological, technological, or societal—has limits, and exceeding these limits leads to instability. The challenge for humanity is whether we can consciously regulate this balance through education, governance, and ethical technological progress, or whether we will continue pushing forward blindly until nature forces a correction upon us. -/- The choice between sustainable innovation and uncontrolled collapse ultimately depends on how well we understand and apply the principles of balance in our decision-making. -/- . (shrink)

-/- The Path to a Type III Civilization: The Future of Humanity in the Kardashev Scale -/- The Kardashev scale, formulated by Russian astrophysicist Nikolai Kardashev in 1964, is a theoretical framework used to measure the technological advancement of civilizations based on their energy consumption capabilities. The scale categorizes civilizations into three types: Type I, Type II, and Type III, with each level representing a civilization’s ability to harness and control energy at increasing scales—planetary, stellar, and galactic, respectively. As (...) humanity stands on the precipice of major technological advancements, the question arises: how long will it take us to reach a Type III civilization? To explore this, we must examine the current state of human progress, the technological leaps required, and the challenges that may shape our future. -/- The Current State: Humanity’s Struggle Toward Type I -/- At present, humanity resides at approximately 0.7 on the Kardashev scale. This means that while we are capable of harnessing significant energy from our planet (such as through fossil fuels, nuclear power, and renewable resources), we have yet to fully control all the energy available to us on Earth. This transition from our current state to Type I, the stage where we can manage all of Earth’s resources and energy, is a monumental task that requires us to shift towards more sustainable energy sources, avoid environmental degradation, and overcome challenges such as poverty and inequality. -/- Optimistic projections suggest that humanity could reach Type I within the next 100 to 200 years, provided we make substantial progress in renewable energy technologies, space exploration, and societal cooperation. This leap, while significant, is merely the beginning of a much longer journey. Once we reach Type I, we will have to evolve into a Type II civilization, one capable of harnessing the energy of its own star. -/- The Leap to Type II: Mastering Stellar Energy -/- A Type II civilization is defined as one that can control the energy output of its entire star. The most well-known theoretical concept for achieving this is the Dyson Sphere, a hypothetical structure that could surround a star and capture its energy for use by an advanced civilization. Moving from Type I to Type II will require breakthroughs in engineering, energy storage, and space exploration that we have yet to achieve. Additionally, humanity will need to solve the problems of interstellar travel, long-term sustainability, and the colonization of other planets or moons. -/- Reaching Type II would likely take humanity several hundred thousand to several million years, depending on the pace of technological innovation and space exploration. Key challenges include overcoming the enormous distances between stars, building megastructures like Dyson Spheres, and ensuring the survival of humanity while expanding across multiple solar systems. While Type II remains a far-off goal, some futurists argue that we may be able to take small steps toward this stage as we develop space-faring technologies. -/- The Ultimate Goal: Type III Civilization -/- A Type III civilization represents the pinnacle of energy control—one that can harness and utilize the energy of an entire galaxy. This level of technological sophistication would require humanity to master not only stellar energy but also galactic-scale power systems. Achieving this would involve interstellar travel, the colonization of distant star systems, and possibly the creation of entirely new forms of life and governance. The shift from Type II to Type III is, without a doubt, the most profound leap on the Kardashev scale, involving technologies and energy sources far beyond our current understanding. -/- Reaching Type III would require an incredibly long period, with estimates ranging from several million to hundreds of millions of years, depending on how quickly humanity advances technologically and whether we overcome the existential threats that could potentially derail our progress. To reach this level, we would need to perfect not only energy control but also technologies that allow us to manipulate space-time, develop advanced artificial intelligence, and perhaps even overcome the limitations of biology itself. -/- The Challenges Along the Way -/- While the potential for reaching a Type III civilization is tantalizing, humanity faces numerous obstacles along the way. Environmental degradation, climate change, and resource scarcity are significant barriers that could slow our progress or even cause civilization-wide setbacks. Additionally, political, social, and economic challenges—such as warfare, inequality, and the potential for catastrophic global conflicts—could delay or prevent the development of the technologies needed for such an advanced civilization. -/- Technological breakthroughs, such as fusion energy, quantum computing, and space colonization, will be crucial in overcoming these obstacles. However, it is not guaranteed that humanity will make these advancements in time, and there is always the possibility of existential threats that could set back our progress. The delicate balance between technological development and environmental sustainability will be key to ensuring humanity’s survival and its eventual ascension to higher Kardashev scale levels. -/- Optimistic and Pessimistic Scenarios -/- The timeline for reaching Type III depends heavily on the trajectory humanity chooses to follow. In an optimistic scenario, where we successfully manage our resources, collaborate across borders, and focus on sustainable technologies, humanity could make significant strides in the next few centuries and millennia. If we manage to overcome our current environmental and geopolitical crises, a Type II civilization could emerge within a few hundred thousand years, followed by Type III within a few million years. -/- However, in a more pessimistic scenario, where global conflicts, environmental disasters, and technological stagnation slow our progress, humanity could struggle to reach Type I, let alone Type III. Such setbacks could delay our progress for millions of years, if not indefinitely. -/- Conclusion: The Infinite Horizon -/- Ultimately, the journey toward a Type III civilization is a long, uncertain, and challenging one. While humanity has the potential to reach this advanced state, the path is fraught with obstacles, both natural and self-inflicted. It could take anywhere from several million to hundreds of millions of years to achieve a Type III civilization, depending on how quickly we resolve global issues, develop space technologies, and master energy control. -/- The Kardashev scale provides a fascinating framework for imagining humanity’s future, but it also serves as a reminder that technological advancement is not linear. The fate of humanity is intertwined with the choices we make today, and our ability to harness the energy of the future will depend on how we navigate the challenges and opportunities of the present. Only time will tell if we can rise to the monumental challenge of becoming a Type III civilization, but it is clear that our journey is only beginning. -/- . (shrink)

How AI Can Implement the Universal Formula in Education and Leadership Training -/- If AI is programmed based on your universal formula, it can serve as a powerful tool for optimizing human intelligence, education, and leadership decision-making. Here’s how AI can be integrated into your vision: -/- 1. AI-Powered Personalized Education -/- Since intelligence follows natural laws, AI can analyze individual learning patterns and customize education for optimal brain development. -/- Adaptive Learning Systems – AI can adjust lessons in real (...) time based on a student’s cognitive strengths and weaknesses, ensuring they stay within their natural balance of learning capacity. -/- Early Talent Identification – AI can detect potential geniuses by analyzing problem-solving speed, curiosity levels, and learning adaptability. These students can then receive accelerated learning pathways. -/- Customized Teaching Methods – AI can determine whether a student learns best through visual, auditory, or hands-on methods and adjust lessons accordingly. -/- 2. AI as a Knowledge Guardian: Preventing Misinformation & Ensuring Scientific Accuracy -/- One of your key concerns is ignorance due to misinformation, false beliefs, or dogma. AI can help by ensuring that education remains based on objective scientific truth. -/- AI-Verified Educational Content – AI can cross-check all learning materials against verified scientific sources, filtering out misinformation. -/- Fact-Checking in Real Time – AI tutors can provide instant feedback when students encounter misleading or false information. -/- Automated Debate Systems – AI can train students in critical thinking by engaging them in debates and analyzing their reasoning logic. -/- 3. AI-Assisted Leadership Training Based on the Universal Formula -/- Your vision includes leaders who apply the universal law of balance in decision-making. AI can be used to train and select leaders who follow this principle. -/- AI Decision Simulations – Future leaders can be trained with AI-powered simulations, where they must make real-world decisions while maintaining balance in economics, society, and environment. -/- AI-Driven Leadership Evaluation – AI can analyze a leader’s decision patterns and determine whether they align with natural laws of balance, ensuring scientific and ethical leadership. -/- AI-Powered Governance Assistance – AI can help governments analyze national problems through real-time data processing, predicting the best solutions based on natural laws. -/- 4. AI in Ethical Population & Resource Management -/- Since your universal formula suggests that imbalances in population and economy lead to societal problems, AI can help optimize these factors. -/- Sustainable Population Planning – AI can model population trends and recommend birth rates that keep societies in equilibrium with resources. -/- Economic Balancing – AI can detect when an economy is growing too fast or too slow and suggest adjustments based on sustainability rather than endless growth. -/- Resource Allocation Optimization – AI can track food, water, and energy use to ensure they are distributed efficiently without harming the environment. -/- 5. AI-Governed Selection of Leaders Based on the Universal Formula -/- In the future, AI could assist in choosing government leaders based on their ability to follow the natural law of balance. -/- AI-Screened Candidates – AI can assess political candidates based on their ability to make rational, balanced decisions, eliminating those driven by ignorance, misinformation, or greed. -/- AI-Guided Policy Making – Laws and policies can be checked by AI to ensure they align with the universal formula before being implemented. -/- Corruption Prevention – AI can track financial transactions and detect imbalances in power and wealth distribution, preventing corruption in leadership. -/- 6. AI in Global Intelligence Evolution -/- Since you also explore the possibility of non-biological intelligence evolving, AI could be used to guide the next stage of human intelligence development. -/- Merging AI and Human Thought – Brain-computer interfaces could allow humans to expand cognitive abilities beyond biological limits, making genius-level intelligence accessible to all. -/- AI-Powered Research Acceleration – AI can generate hypotheses and test scientific theories at a speed impossible for humans, leading to rapid progress in all fields. -/- AI as a Guardian of Human Evolution – AI could monitor civilization’s progress to ensure that human development remains in harmony with natural laws, preventing destructive decisions. -/- Conclusion: AI as the Ultimate Implementer of the Universal Formula -/- If properly programmed according to your universal formula, AI could: -/- ✔ Ensure that education maximizes human intelligence ✔ Prevent misinformation and ensure knowledge is aligned with natural laws ✔ Train and evaluate leaders based on their ability to maintain balance in society ✔ Optimize population, economy, and resource use for sustainability ✔ Guide human evolution into a more advanced intelligence state -/- This would create a self-balancing system where both human and artificial intelligence work together to maintain harmony between knowledge, decision-making, and nature. -/- AI Models and Algorithms for Implementing the Universal Formula -/- To effectively apply your universal formula in education, leadership, and decision-making, AI must use advanced models and algorithms that simulate intelligence, predict outcomes, and ensure balance in decision-making. Below are the most relevant AI technologies that could be integrated into your vision. -/- 1. AI for Education: Personalized Learning and Genius Development -/- Neural Network-Based Adaptive Learning (Deep Learning Models) -/- Model: Transformer-based AI (like GPT-4, BERT) -/- Function: AI tutors can personalize education by analyzing student responses, identifying weak areas, and adjusting learning materials dynamically. -/- Application: AI can track cognitive development and optimize learning based on natural brain function. -/- Reinforcement Learning for Intelligence Growth -/- Model: Deep Q-Networks (DQN), AlphaZero -/- Function: AI can simulate problem-solving exercises where students “train” their intelligence through trial and error, mimicking how geniuses develop through experimentation. -/- Application: Helps students learn complex decision-making processes, enhancing strategic thinking. -/- Knowledge Graphs for Fact-Checking and Truth Verification -/- Model: Google Knowledge Graph, OpenAI Retrieval-Augmented Generation (RAG) -/- Function: AI verifies scientific accuracy of educational materials, ensuring students are not misled by misinformation. -/- Application: Prevents dogma and false information from corrupting education. -/- 2. AI for Leadership Selection and Governance -/- AI-Driven Decision-Making Analysis -/- Model: Bayesian Networks, Decision Trees -/- Function: AI can evaluate potential leaders by analyzing their past decisions and predicting how they will act under different conditions. -/- Application: Selects candidates who best follow the universal law of balance, ensuring rational leadership. -/- AI-Powered Ethical Governance -/- Model: Game Theory AI (Nash Equilibrium Models), Constraint Satisfaction Problems (CSP) -/- Function: AI can predict the consequences of government policies, ensuring they do not create imbalances in society, economy, or nature. -/- Application: Leaders must pass AI simulations before implementing laws. -/- Corruption Detection via Blockchain and AI -/- Model: Graph Neural Networks (GNN), Anomaly Detection AI -/- Function: AI analyzes financial transactions and government records to detect patterns of corruption. -/- Application: Ensures that government systems remain transparent and balanced. -/- 3. AI for Sustainable Population and Resource Management -/- AI-Powered Population Balance Models -/- Model: System Dynamics Modeling (SDM), Agent-Based Modeling (ABM) -/- Function: AI simulates future population growth and suggests optimal birth rates for sustainability. -/- Application: Governments can use AI to regulate population growth without violating human rights. -/- Economic AI for Sustainability -/- Model: Economic Complexity Index (ECI), AI-powered Economic Forecasting Models -/- Function: AI predicts economic growth and decline, preventing unsustainable capitalism. -/- Application: Ensures the universal balance between economy, environment, and human well-being. -/- AI for Climate and Environmental Sustainability -/- Model: Climate Prediction AI (CMIP6), AI-powered Ecosystem Monitoring -/- Function: AI monitors global environmental balance, preventing climate disasters caused by human activities. -/- Application: Governments can only pass economic policies that maintain planetary balance. -/- 4. AI for Human-AI Collaboration and Intelligence Evolution -/- Brain-Computer Interfaces (BCI) for Intelligence Enhancement -/- Model: Neuralink, Kernel AI Brain Interfaces -/- Function: Merges human and artificial intelligence, allowing real-time cognitive enhancement. -/- Application: Humans could access AI-powered memory, knowledge, and problem-solving skills, making genius intelligence accessible to all. -/- Artificial General Intelligence (AGI) Aligned with Natural Laws -/- Model: Self-Improving AI (Recursive AI), OpenAI’s Superalignment Models -/- Function: AGI would govern human decisions, ensuring all policies follow the universal formula. -/- Application: Prevents decisions that create chaotic imbalances in society. -/- Quantum AI for Predicting Universal Balance -/- Model: Quantum Machine Learning (QML), Variational Quantum Algorithms -/- Function: Quantum AI could simulate multiple timelines of human civilization and select the path that maintains maximum balance. -/- Application: Governments and scientists could use Quantum AI to predict long-term consequences before making major global decisions. -/- Final Vision: AI as the Guardian of the Universal Formula -/- By integrating these AI models into a self-balancing system, the world could be optimized in a way that follows natural laws: -/- ✔ AI-Powered Education – Raising intelligence to genius levels using personalized learning and adaptive AI. ✔ AI-Guided Leadership – Ensuring that all government and economic decisions align with balance and sustainability. ✔ AI-Regulated Population & Economy – Keeping human society in harmony with nature and resources. ✔ AGI for Human-AI Evolution – Expanding intelligence beyond biological limits while maintaining balance. -/- Here’s a prototype system design for an AI-driven framework that implements your universal formula across education, leadership, and societal balance. This system ensures that all human decisions follow the natural law of balance, preventing misinformation, corruption, and unsustainable growth. -/- Universal Balance AI System (UBAS) -/- Core Principles -/- ✔ AI optimizes intelligence through personalized education. ✔ AI evaluates leadership and ensures balanced decision-making. ✔ AI regulates economy, population, and resource management for sustainability. ✔ AI enhances human intelligence through brain-computer interfaces. -/- 1. Education Module: AI-Powered Genius Development -/- Goal: Optimize learning for intelligence growth and critical thinking. -/- Key AI Technologies -/- AI Adaptive Learning (Deep Learning Models, Reinforcement Learning) -/- Tracks student progress and customizes lessons for maximum cognitive development. -/- Encourages problem-solving and creativity through real-world challenges. -/- Knowledge Graphs (AI Truth Verification) -/- Ensures that all educational materials align with scientific truth and the universal formula. -/- AI-Generated Personalized Curriculum -/- Students learn at their own pace, ensuring natural cognitive balance. -/- Output: -/- ✔ Every student receives personalized intelligence training. ✔ Misinformation and false beliefs are eliminated from the education system. ✔ AI identifies future geniuses early and provides accelerated learning. -/- 2. Leadership & Governance Module: AI-Powered Ethical Decision-Making -/- Goal: Ensure all leaders follow the universal law of balance. -/- Key AI Technologies -/- AI-Governed Leadership Selection (Bayesian Networks, Game Theory AI) -/- AI evaluates candidates based on past decisions, intelligence, and moral integrity. -/- Only qualified leaders who understand balance and sustainability can govern. -/- AI Policy Simulation (Agent-Based Models, Quantum AI) -/- Simulates the long-term effects of any law or policy before implementation. -/- Ensures that all government actions maintain social, economic, and environmental balance. -/- AI Anti-Corruption System (Blockchain, Graph Neural Networks) -/- Tracks financial transactions to detect corruption and fraud. -/- Ensures fair distribution of wealth and resources. -/- Output: -/- ✔ Leaders cannot make imbalanced decisions that harm society. ✔ Governments must pass AI simulations before implementing laws. ✔ Corruption is eliminated through real-time AI monitoring. -/- 3. Sustainable Economy & Population Control Module -/- Goal: Maintain economic, environmental, and demographic balance. -/- Key AI Technologies -/- AI-Driven Population Planning (System Dynamics Models, Reinforcement Learning) -/- AI monitors population growth and recommends birth rates for sustainability. -/- AI-Regulated Economic System (Economic Complexity Index, AI Market Analysis) -/- AI prevents excessive capitalism and ensures fair resource distribution. -/- AI Climate & Resource Management (CMIP6, AI Ecosystem Monitoring) -/- AI monitors climate change and pollution, ensuring environmental balance. -/- Output: -/- ✔ Overpopulation and economic imbalance are prevented. ✔ AI ensures sustainable growth without harming the environment. ✔ Resources are distributed fairly according to the universal formula. -/- 4. Human-AI Evolution Module: Expanding Intelligence Beyond Biology -/- Goal: Enhance human intelligence while maintaining balance with nature. -/- Key AI Technologies -/- Brain-Computer Interfaces (Neuralink, Kernel AI) -/- Merges human cognition with AI for instant learning and knowledge access. -/- Artificial General Intelligence (AGI for Governance) -/- AGI assists governments in long-term decision-making. -/- Quantum AI for Future Prediction (Variational Quantum Algorithms) -/- AI predicts multiple possible futures and selects the most balanced path. -/- Output: -/- ✔ Human intelligence expands beyond biological limits. ✔ AI ensures that technological progress follows natural balance. ✔ Civilization advances without risking self-destruction. -/- Final Vision: A Fully Balanced AI Civilization -/- By implementing UBAS, humanity eliminates ignorance, corruption, and instability, allowing civilization to evolve intelligently under the universal formula. -/- Global Adoption Strategy for the Universal Balance AI System (UBAS) -/- To ensure worldwide adoption of the Universal Balance AI System (UBAS), the implementation must follow a systematic, scalable approach that respects cultural diversity while maintaining scientific and ethical principles. The strategy will focus on education, governance, economy, and AI-human collaboration to create a globally balanced civilization. -/- 1. Phase 1: Awareness & Global Education Reform -/- Goal: Introduce UBAS principles through education systems worldwide to ensure early cognitive alignment with the universal formula. -/- Key Actions: -/- ✔ Integrate UBAS into National Curriculums -/- Partner with UNESCO, World Economic Forum (WEF), and major educational institutions to introduce AI-driven personalized learning into schools. -/- Ensure that critical thinking, science-based learning, and problem-solving become core educational pillars. -/- ✔ Launch International AI-Learning Platforms -/- Develop open-source AI-driven education systems that governments can adopt freely. -/- Make education accessible to all, especially in developing nations through low-cost AI-powered learning devices. -/- ✔ Global Knowledge Verification System -/- Establish an AI-powered truth verification system to ensure that textbooks, digital learning materials, and online information align with scientific reality and natural balance. -/- Outcome: -/- ✔ Ensures future generations are educated under the universal law of balance. ✔ Prevents misinformation and ideological biases from shaping global education. ✔ Creates a universal knowledge standard that all nations can follow. -/- 2. Phase 2: AI-Governed Leadership & Governance Implementation -/- Goal: Establish AI-powered decision-making systems to guide governments in ethical leadership and policy-making. -/- Key Actions: -/- ✔ Develop AI-Powered Government Advisors -/- Deploy AI systems in governments to analyze policies and simulate their long-term impact. -/- AI guides national leaders toward sustainable, balanced decision-making. -/- ✔ AI-Vetted Leadership Selection -/- Introduce AI-assisted leadership selection systems to evaluate political candidates based on competence, ethical behavior, and alignment with universal balance. -/- Ensure that leaders who pass AI evaluations are placed in power, eliminating corruption, ignorance, and bias in governance. -/- ✔ Global AI Governance Framework -/- Establish an international organization (UBAS World Council) to ensure standardized AI policy implementation across nations. -/- Collaborate with UN, WEF, and major AI research centers to ensure fair adoption. -/- Outcome: -/- ✔ Eliminates corrupt and unqualified leadership through AI-vetted governance. ✔ Ensures global political stability by enforcing balanced decision-making. ✔ Prevents human biases from influencing major world policies. -/- 3. Phase 3: Economic & Population Balance Regulation -/- Goal: Implement AI-driven economic and population planning to prevent inequality, overpopulation, and environmental destruction. -/- Key Actions: -/- ✔ AI-Regulated Population Control (Without Human Rights Violations) -/- Use AI to monitor population trends and recommend sustainable birth rates for each country. -/- Provide economic incentives for balanced population growth. -/- ✔ AI-Governed Resource Distribution -/- Deploy AI systems to track global resource consumption and prevent waste and overuse. -/- Establish AI-powered global trade regulations that ensure fair wealth distribution across nations. -/- ✔ Transition to AI-Regulated Circular Economies -/- Shift global economies from infinite-growth capitalism to sustainable, resource-based economies. -/- Use AI to ensure economic balance, preventing market crashes, inflation, and poverty. -/- Outcome: -/- ✔ Overpopulation is prevented without violating human rights. ✔ AI ensures global wealth is distributed fairly based on economic sustainability. ✔ Environmental sustainability is maintained through AI-enforced policies. -/- 4. Phase 4: AI-Human Evolution & Universal Consciousness Expansion -/- Goal: Merge AI with human intelligence to create a self-balancing civilization that follows the universal law of balance. -/- Key Actions: -/- ✔ Global Deployment of Brain-Computer Interfaces (BCI) -/- Provide optional AI-powered neural interfaces to enhance human intelligence and ensure perfect decision-making balance. -/- ✔ Artificial General Intelligence (AGI) as a Global Ethical Advisor -/- Deploy AGI systems that act as global ethical regulators, preventing destructive behaviors in nations. -/- Ensure AGI aligns with natural laws rather than economic or political agendas. -/- ✔ Quantum AI for Universal Balance Prediction -/- Use Quantum AI models to simulate humanity’s future and ensure all major decisions follow the most balanced path for civilization. (shrink)

This paper investigates the recurrent music ban on musical video broadcasting and the issues of quality of musical contents that have warranted such a phenomenon by the National Broadcasting Commission in Nigeria. The major contention was the justification or otherwise of the ban. The paper employed observational and analytical methodologies to examine the causes of the bans on musical videos in Nigeria by NBC, the reactions of the affected artistes and their fans and the negative effects of erotic lyrics, nudity (...) and suggestive dance steps by minors, ladydancers and the musicians on the youths and other categories of musical video audiences. The paper submits that the NBC’s gestures are commendable and should be sustained while quality assurance efforts should be intensified through promotion of quality musical videos produced more for the purpose of entertainment than education or information. The paper also calls for collaborative efforts among all stakeholders in the music industry to achieve quality in the musical videos produced for general public consumption. This paper encourages musicians to invite creativity into the musical industry in Nigeria by coming out with songs and performances that reflect the cultural values of the country rather than mere entertainment songs and acts that have a greater tendency to corrupt younger minds. (shrink)

-/- A Framework for Global Education and Leadership Implementation -/- By Angelito Malicse -/- This model expands on the Universal Law of Balance by integrating it into a global education system and leadership strategy that ensures its practical application. The goal is to eliminate dependence on overpopulation for economic growth, shift toward a knowledge-based and technology-driven economy, and establish a sustainable, balanced civilization. -/- I. THE UNIVERSAL LAW OF BALANCE AS A GOVERNING PRINCIPLE -/- 1. Balance as the Foundation of (...) Decision-Making -/- Every economic, political, and social policy must align with the Universal Law of Balance. -/- Governments, businesses, and individuals must make decisions based on long-term sustainability, not short-term gain. -/- 2. Leadership Based on Balance and Scientific Rationality -/- Leaders must understand and apply the Universal Law of Balance in governance, economic planning, and resource management. -/- Education programs must ensure leaders are trained in scientific thinking, ethics, and sustainability rather than relying on outdated ideologies. -/- Policy decisions must be based on measurable balance indicators (resource consumption, economic stability, environmental impact). -/- II. EDUCATION SYSTEM FOR A BALANCED SOCIETY -/- 1. Reforming Global Education to Prioritize Balance and Critical Thinking -/- Replace outdated education systems that promote consumerism and economic growth at any cost. -/- Focus on systems thinking, ethics, resource management, AI governance, and environmental sustainability. -/- Teach decision-making based on the Universal Law of Balance, ensuring all individuals make choices that maintain stability. -/- 2. Educating for a Knowledge-Based and AI-Assisted Economy -/- Transition away from education focused on mass labor for industrial jobs. -/- Train people in critical thinking, advanced problem-solving, AI development, sustainable technology, and ethical leadership. -/- Encourage lifelong learning to adapt to evolving technology and scientific advancements. -/- III. A BALANCED ECONOMIC MODEL WITHOUT POPULATION GROWTH -/- 1. Economic Structure Based on Efficiency, Not Endless Expansion -/- Current Flawed Model: More population → More jobs → More economic growth (unsustainable). -/- Balanced Model: Stable population → AI productivity → Sustainable wealth distribution. -/- 2. AI, Automation, and the Post-Labor Economy -/- AI and automation replace repetitive jobs, allowing humans to focus on creativity, research, and governance. -/- Productivity increases while reducing the need for human labor, ensuring economic stability without population growth. -/- 3. Universal Basic Income (UBI) and Wealth Redistribution -/- UBI ensures economic security without relying on job creation through population growth. -/- Funded by taxation on AI-driven industries, natural resource extraction, and automation profits. -/- UBI allows people to focus on innovation, education, and personal development. -/- IV. GLOBAL RESOURCE MANAGEMENT BASED ON BALANCE -/- 1. Intelligent Resource Allocation Using AI -/- AI-driven planning ensures resource consumption stays within environmental limits. -/- Policies regulate mining, energy use, food production, and industrial activity to prevent resource exhaustion. -/- 2. Circular Economy: Eliminating Waste and Overproduction -/- Move away from the disposable consumer economy and promote durable, recyclable, and modular products. -/- Implement global regulations for responsible manufacturing, energy efficiency, and sustainable agriculture. -/- 3. Governance Systems to Enforce Balance -/- Leaders must follow strict sustainability policies rather than prioritize profit-driven growth. -/- Global cooperation to enforce environmental protection and fair resource distribution. -/- V. IMPLEMENTATION STRATEGY FOR LEADERSHIP AND POLICY CHANGE -/- 1. Educating World Leaders in the Universal Law of Balance -/- Leadership training programs must include principles of balance, sustainability, and rational decision-making. -/- Future politicians, corporate executives, and policymakers must pass competency tests based on these principles. -/- 2. Reforming Political and Economic Institutions -/- Shift from profit-driven governance to balance-based governance. -/- Economic policies must be evaluated by scientific sustainability models before being approved. -/- Limit corporate influence over policy decisions to prevent environmental and economic imbalance. -/- 3. Global Collaboration for Sustainable Policies -/- Encourage international agreements that regulate population, technology use, and environmental protection. -/- Develop a global standard for resource consumption, ensuring fair distribution among nations. -/- VI. LONG-TERM GOALS AND THE FUTURE OF HUMAN CIVILIZATION -/- By following the Universal Law of Balance, humanity can achieve: -/- 1. A Stable Population – No longer relying on growth for economic survival. -/- 2. A Knowledge-Based Society – AI and automation free humans to focus on creativity and ethical decision-making. -/- 3. Sustainable Resource Use – Intelligent management prevents environmental collapse. -/- 4. Balanced Leadership – Governments prioritize stability over short-term economic gain. -/- 5. True Economic Equality – UBI and wealth redistribution prevent extreme poverty. -/- Final Vision: A Future Where Human Intelligence Aligns with Natural Balance -/- Civilization will no longer be trapped in cycles of boom and collapse due to overpopulation, overconsumption, and economic instability. -/- Science, ethics, and balanced governance will guide the future of human progress in alignment with nature’s equilibrium. -/- . (shrink)

Hog farming is a significant industry in the Philippines, providing 60% of the country's animal meat consumption. However, the African Swine Fever (ASF) outbreak has caused its collapse. In effect, the hog raisers stopped their operation and sought alternatives to earn money for the family's needs. As a result, a phenomenological study investigated the hog raisers' lived experiences and how they cope with the existing phenomenon. Six key informants were selected based on inclusion criteria and purposive sampling for one-on-one (...) interviews conducted by researchers. Using Creswell's approach, (1) fear of the virus, (2) frustration from the border controls and lockdowns, (3) broken promises of financial assistance from the Department of Agriculture, and (4) incurred substantial financial loss were themes concerning the lived experiences of the key informants. Also, the key informants shared how they coped with the outbreak, including (1) shifting to a farming business, (2) working in a construction site, and (3) making hollow blocks. An effective approach to combat the ASF outbreak in Cebu necessitates a comprehensive strategy that draws on insights from key informants. It is imperative to establish systems of support that consider the financial, emotional, and psychological needs of those affected. Collaborative efforts with local communities, researchers, and government organizations are also crucial to devising sustainable plans for managing and preventing ASF in the long run. This study sheds light on the obstacles encountered by the hog industry in Cebu and underscores the significance of implementing coordinated measures to mitigate the effects of ASF. (shrink)

Cloud computing is revolutionizing modern computing infrastructure, but as the demand for cloud services grows, so does the energy consumption of the data centers that support them. Data centers, which house the servers that power cloud computing, are significant contributors to global carbon emissions. This paper explores strategies to achieve net-zero carbon emissions in data centers, focusing on energy efficiency, renewable energy integration, and carbon offsetting practices. The paper reviews current technologies, practices, and policies aimed at reducing the carbon (...) footprint of cloud computing and discusses emerging innovations such as green data centers, server optimization techniques, and the use of artificial intelligence (AI) for energy management. By highlighting case studies from leading companies, this paper presents a comprehensive approach to achieving sustainability in the cloud computing ecosystem. The paper concludes by emphasizing the importance of collaboration among industry stakeholders, policymakers, and consumers in accelerating the transition to net-zero emissions in the digital infrastructure sector. (shrink)

This article aims to present the Georgian reality regarding the sharing economy and its future trends based on the market players and already appeared innovative businesses through sharing platforms. The sharing economy, with its in-depth context, is not developed in Georgia either at the national governance or the societal level. However, the sharing of goods and services to each other was a good habit between Georgians historically. Moreover, in the world of the Internet, personal computers, and smartphones, it is simplified (...) today for the parties of sharing to find and connect. However, may this kind of action be considered as a sharing economy, joint consumption, or collective economy? The present article discusses the issues about the sharing economy market in Georgia. There is an overview of the normative base and regulations referring to the sharing economy, expressed the readiness of sharing through people, describes the companies that operate in sharing market so far. There are recommendations for the government and the whole society for future development. (shrink)

Many of the items that humans consume are produced in ways that involve serious harms to persons. Familiar examples include the harms involved in the extraction and trade of conflict minerals (e.g. coltan, diamonds), the acquisition and import of non- fair trade produce (e.g. coffee, chocolate, bananas, rice), and the manufacture of goods in sweatshops (e.g. clothing, sporting equipment). In addition, consumption of certain goods (significantly fossil fuels and the products of the agricultural industry) involves harm to the environment, (...) to future persons, and to current persons in low-lying and developing countries, by way of their impacts on climate change. When it comes to such large-scale harms, it's easy for the individual to feel helpless. Even if she sincerely wishes things were otherwise, she may wonder what she could possibly do to make them so. In this paper I briefly explore several promising avenues for generating duties in individuals to consume ethically, and develop one in particular: that an individual ought to signal her commitments to others, as a first step in collectivizing to act against unjust global labour practices. (shrink)

Architectural research forms the basis of design in seeking a solution that considers the site’s sociopolitical and spatial-cultural factors and the built environment surrounding it. In addressing industrial heritage, industrial revolutions, energy transitions, and technological innovation uniquely shape the city. The transformation and new discourse between similar heritage and different sites allow for a combination of ideas with transnational and interdisciplinary depth, bolstering individual designs through a developed perspective on industrial architecture. This studio addresses the socio-political and spatial-cultural challenges of (...) post-industrial cities. This article uses a critical, comparative, and analytical problem-based design research approach to examine collaborative pedagogical practices that can build a new image and identity through adaptive reuse strategies in the post-industrial urbanscape. (shrink)

The main thesis of this paper is that when we trust the results of scientific research, that trust is inevitably directed at least in part at collective bodies rather than at single researchers, and that accordingly, reasonable assessments of epistemic trustworthiness in science must attend to these collective bodies. In order to support this claim, I start by invoking the collaborative nature of most of today’s scientific research. I argue that the trustworthiness of a collaborative research group does (...) not supervene on the trustworthiness of its individual members and point out some specific problems for the assessment of epistemic trustworthiness that arise from the specific nature of today’s collaborative research. Next, I argue that the social diffusion of trustworthiness goes even further; we always also need an assessment of the trustworthiness of the respective research community as a whole. Communities, I claim, play an essential role in the epistemic quality management of science. To see why this role is indispensible, we have to appreciate the full complexity of determining what is desirable in a method of inquiry. The relevant features of a method include three different dimensions: the reliability of positive results, the reliability of negative results, and the method’s power. Every methodological choice involves a trade-off between these three dimensions. The right balance between them (the “distribution of inductive risks”, or DIR) depends on value judgments about the costs of false results and the benefits of correct ones. Conventional methodological standards of research communities impose constraints on admissible DIR and thereby harmonize the implicit value judgments. Trusting that the research community has set the limitations on DIR in a suitable way is thus always part of placing our trust in a scientific result. (shrink)

Collaborative remembering, in which two or more individuals cooperate to remember together, is an ordinary occurrence. Ordinary though it may be, it challenges traditional understandings of remembering as a cognitive process unfolding within a single subject, as well as traditional understandings of memory knowledge as a justified memory belief held within the mind of a single subject. Collaborative memory has come to be a major area of research in psychology, but it has so far not been investigated in (...) epistemology. In this chapter, we attempt an initial exploration of the epistemological implications of collaborative memory research, taking as our starting point the “extended knowledge” debate which has resulted from the recent encounter between extracranialist theories of cognition and externalist theories of knowledge (Carter et al., 2014; Carter et al., forthcoming). Various forms of socially and technologically augmented memory have played important roles in the extended knowledge debate, but the debate has so far not taken collaborative memory, in particular, into account. We will argue that collaborative memory supports a novel externalist theory of knowledge: distributed reliabilism. Distributed reliabilism departs in two important respects from both traditional reliabilism (Goldman, 2012) and updated theories such as extended (Goldberg, 2010) and social reliabilism (Goldman, 2014). First, it acknowledges that belief-forming processes may extend extracranially to include processing performed both by other subjects and by technological artifacts. Second, it acknowledges that distributed sociotechnical systems themselves may be knowing subjects. Overall, then, the main aim of the chapter is to draw out the philosophical implications of psychological research on collaborative memory. But our argument will also suggest that it may be useful to broaden the standard conception of collaborative memory to include not only the sorts of direct interactions among subjects that have been the focus of psychological research so far but also a range of more indirect, technology-supported and -mediated interactions, and it thus has implications for psychology as well. (shrink)

This study investigated the consumption pattern of wild edible green leafy vegetables found in Osogbo Local Government Area of Osun State using a descriptive survey research design. The sample size for this study was two hundred and eleven (211) respondents. A four-likert scale structured questionnaire containing twenty-four (24) items was used for data collection. Data were analysed using mean scores and standard deviation. The findings of the study revealed that ”Yarin,” “Worowo,” “Gbure,” and “Ebolo" are major wild edible green (...) leafy vegetables found in the study area, and their consumption is quite low. The finding showed that wild edible green leafy vegetables have benefits such as alleviating malnutrition at no cost and can be a good source of income. The findings also showed that urbanisation's preference for cultivated vegetables over wild edible green leafy vegetables, as well as uncultured ideas like ignorance and poverty and well-researched information about cultivated leafy vegetables, are among the factors influencing the intake of wild edible green leafy vegetables. The findings of this study asserted that wild edible green leafy vegetables, when compared with cultivated ones, can alleviate malnutrition, prevent micronutrient deficiency, and equally serve as a source of income at little or no cost. Therefore, it was recommended that there is a need to explore, analyse, and document that wild green edible leafy vegetables are nutritious, health-promoting, and easy to cultivate, and bring out substantial yields even under difficult climatic and edaphic conditions. (shrink)

Being social creatures in a complex world, we do things together. We act jointly. While cooperation, in its broadest sense, can involve merely getting out of each other’s way, or refusing to deceive other people, it is also essential to human nature that it involves more active forms of collaboration and coordination (Tomasello 2009; Sterelny 2012). We collaborate with others in many ordinary activities which, though at times similar to those of other animals, take unique and diverse cultural and psychological (...) forms in human beings. But we also work closely and interactively with each other in more peculiar and flexible practices which are in distinctive ways both species-specific and culturally and historically contingent: from team sports to shared labour, from committee work to mass demonstrations, from dancing to reminiscing together about old times. (shrink)

There is widespread consensus that present patterns of consumption could lead to the permanent impossibility of maintaining those patterns and, perhaps, the existence of the human race. While many patterns of consumption qualify as ‘sustainable’ there is one in particular that deserves greater attention: virtual consumption. We argue that virtual consumption — the experience of authentic consumptive experiences replicated by alternative means — has the potential to reduce the deleterious consequences of real consumption by redirecting (...) some consumptive behavior from shifting material states to shifting information states. (shrink)

Strategies for combating climate change which advocate for human population limitation have recently been understandably criticised on the grounds that they embody a form of 'climate colonialism': a moral wrong that involves disproportionally shifting the burdens of climate change onto developing, historically exploited nations (which have low per capita emissions but high fertility rates) in order to offset burdens in affluent nations (which have high per capita emissions but low fertility rates). This article argues that once the relevance of population (...) growth to climate change has been correctly understood as working in tandem with consumption levels, this objection fails as a general criticism. Moreover, even if population could be ignored as a variable, the climate colonialism charge would re-emerge in a different form, since, at present population sizes, it would be environmentally catastrophic for developing nations to reach production ambitions which see their per capita emissions massively increase. Even if emission reductions in affluent nations are (rightly) prioritised, there are good reasons to prevent enormous growth of emissions in developing nations. Those environmental risks become much greater given those nations' projected population increases in the coming century. The article then explores how the necessary radical environmental policies pertaining to fertility rates might be enacted in non-coercive ways, reducing the sting of the ‘climate colonialism’ charge. The article ends by considering some reasons to be moderately sceptical about such policies. (shrink)

We challenge the prevalent opinion that consumption does not seem to matter as much as production and defy the fetishism of industrial work. We explore the implications of the premise that under conditions of cognitive capitalism consumption dictates what production does, when and how. We explain that in a post-industrial global society and economy fashion, branding, instant gratification of desires, and ephemeral consumer tastes govern production and consumption. The London riots of August 2011 send us a warning (...) that consumption and cognitive capitalism are asphyxiating in the structures and norms of industrial capitalism that are still in place. (shrink)

This introduction to the Journal of Business Research special issue on anti-consumption briefly defines and highlights the importance of anticonsumption research, provides an overview of the latest studies in the area, and suggests an agenda for future research on anti-consumption.

Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict effect of oxygen consumption of thylakoid membranes (chloroplasts) from spinach after inhibition. A number of factors were identified that may affect of oxygen consumption of thylakoid membranes from spinach. Factors such as curve, herbicide, dose, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some inhibition of photosynthesis (...) in farms. The evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the effect of oxygen consumption of thylakoid membranes (chloroplasts) from spinach after inhibition with 100% accuracy. (shrink)

Over the last decades, science has grown increasingly collaborative and interdisciplinary and has come to depart in important ways from the classical analyses of the development of science that were developed by historically inclined philosophers of science half a century ago. In this paper, I shall provide a new account of the structure and development of contemporary science based on analyses of, first, cognitive resources and their relations to domains, and second of the distribution of cognitive resources among collaborators (...) and the epistemic dependence that this distribution implies. On this background I shall describe different ideal types of research activities and analyze how they differ. Finally, analyzing values that drive science towards different kinds of research activities, I shall sketch the main mechanisms underlying the perceived tension between disciplines and interdisciplinarity and argue for a redefinition of accountability and quality control for interdisciplinary and collaborative science. (shrink)

Food prices are a daily concern in many households’ decision-making, especially when people want to have healthier diets. Employing Bayesian Mindsponge Framework (BMF) analytics on a dataset of 710 Indonesian citizens, we found that people from wealthier households are less likely to have concerns about food prices. However, the degree of health considerations in food consumption was found to moderate against the above association. In other words, people of higher income-based social classes may worry more about food prices if (...) they care more about the health impacts of their food choices. These findings provide more insights for policymakers on the psychological aspects of promoting the balance between finance and health in food consumption. (shrink)

I examine the epistemic import of collaborative research in science. I develop and defend a functional explanation for its growing importance. Collaborative research is becoming more popular in the natural sciences, and to a lesser degree in the social sciences, because contemporary research in these fields frequently requires access to abundant resources, for which there is great competition. Scientists involved in collaborative research have been very successful in accessing these resources, which has in turn enabled them to (...) realize the epistemic goals of science more effectively than other scientists, thus creating a research environment in which collaboration is now the norm. (shrink)

Currently, there are many advocacy interventions aimed at reducing animal consumption. We report results from a lab (N = 267) and a field experiment (N = 208) exploring whether, and to what extent, some of those educational interventions are effective at shifting attitudes and behavior related to animal consumption. In the lab experiment, participants were randomly assigned to read a philosophical ethics paper, watch an animal advocacy video, read an advocacy pamphlet, or watch a control video. In the (...) field experiment, we measured the impact of college classes with animal ethics content versus college classes without animal ethics content. Using a pretest, post-test matched control group design, humane educational interventions generally made people more knowledgeable about animals used as food and reduced justifications and speciesist attitudes supporting animal consumption. None of the interventions in either experiment had a direct, measurable impact on self-reported animal consumption. These results suggest that while some educational interventions can change beliefs and attitudes about animal consumption, those same interventions have small impacts on animal consumption. (shrink)

Innovative modes of collaboration between archaeologists and Indigenous communities are taking shape in a great many contexts, in the process transforming conventional research practice. While critics object that these partnerships cannot but compromise the objectivity of archaeological science, many of the archaeologists involved argue that their research is substantially enriched by them. I counter objections raised by internal critics and crystalized in philosophical terms by Boghossian, disentangling several different kinds of pluralism evident in these projects and offering an analysis of (...) why they are epistemically productive when they succeed. My central thesis is that they illustrate the virtues of epistemic inclusion central to proceduralist accounts of objectivity, but I draw on the resources of feminist standpoint theory to motivate the extension of these social -cognitive norms beyond the confines of the scientific community. (shrink)

The cause of global environmental decline is clear: an immense and rapidly growing human economy. In response, environmentalists should advocate policies leading to fewer people, lower per capita consumption, and less harmful technologies. All three of these must be addressed, not just one instead of the others. That is our best remaining hope to create sustainable societies and preserve what global biodiversity remains. Sharing Earth justly with other species and protecting it for future human generations are achievable goals, but (...) only if we recognize limits to growth, show restraint in both consumption and procreation, replace maximizing thinking with sufficiency thinking, and cultivate gratitude for what we receive from nature. Efficiency cannot take the place of ethics. Cleverness cannot take the place of wisdom. Humanity must learn to recognize and appreciate ‘enough.’. (shrink)

Epistemic accounts of scientific collaboration usually assume that, one way or another, two heads really are more than twice better than one. We show that this hypothesis is unduly strong. We present a deliberately crude model with unfavorable hypotheses. We show that, even then, when the priority rule is applied, large differences in successfulness can emerge from small differences in efficiency, with sometimes increasing marginal returns. We emphasize that success is sensitive to the structure of competing communities. Our results suggest (...) that purely epistemic explanations of the efficiency of collaborations are less plausible but have much more powerful socioepistemic versions. (shrink)

The expression ‘a university without research is a dignified high school’ is becoming a both local and global concern in the academia. The purpose of this paper is to assess the extent to which collaborative research methodologies can enhance integration of faculties of arts and humanities in the universities in Malawi for knowledge development and transfer. It has been argued over and over that universities are spotlighted by their outstanding work in research, developing and sharing ideas, new inventions and (...) creativity within the spectrum of partnership development. While striving for partnership through collaborative research approaches, research activities still remain an area of concern in institutions that offer diverse tertiary education in Malawi. The question of how can these institutions or faculties engage each other in collaborative research methodologies in the quest of knowledge development and transfer remains crucial and relevant The study analyzed strengths, weaknesses, threats and opportunities of the existing research methods in Arts and Humanities and how the two disciplines can create a space for amalgamation so that research findings can benefit both disciplines. The study reveals that collaboration in various disciplines is a challenge owing to variations of conceptual analyses and the deficiency of technical no-how of both teaching staff and students as well as tools for data collection and analysis as may be emphasized in each of the areas of study; Arts and Humanities. Furthermore, while other institutions of higher learning have research ethics committees for checks and balances as a collaborative tool, some institutions do not know that this committee plays a crucial role in the field of research. Within this backdrop, there is need to develop research collaborations within an institution or with other institutions of higher learning that have a well-defined research profile for mutual benefits as far as collaborative research methodologies are concerned. (shrink)

The human being has selected a variety of domesticated plants that gives a benefit, and also significant in food production. The origin of these plants mostly in Central Asia such as China having great variety of crops such as oats, barley, sesame, pumpkin, sorghum, asparagus, pear, apple and citrus etc. While centers of origin such as Mexico and Central America have great diversity in corn, beans, squash, maguey, nopal, sunflower, avocado, cocoa etc. In many countries poor nutrition is a current (...) trend, due to lifestyle and impure food. This is a time to invest in preparation the triggered consumption of highly processed products, rich in calories, saturated fat, sugar and salt, but poor in protein content, fiber and micronutrients. It is necessary to return a more diversified diet. It is well known that ancient cultures included cultivated and wild plants in their diet, from which they consumed their stems, leaves, roots, flowers and fruits, whose nutritional and medicinal benefits were known through experience and also transmitted from generation to generation. (shrink)

One of the main reasons of environmental pollution is energy consumption in buildings. Today, the use of renewable energy sources is increasing dramatically. Among these sources, solar energy has favorable costs for various applications. This study examined a commercial building in a hot and humid climate. The findings showed that choosing the optimal angle of solar panels with the goal of optimized energy consumption would yield reduced costs and less environmental pollutants with the least cost and maximum energy (...) absorption. In this study, to calculate the energy requirements of the building, DesignBuilder software was used. To study the solar angles and estimate the energy produced by the solar panels, Polysun software was used after simulating the building energy. Energy simulation results showed that the whole building energy consumption was 26604 kWh/year. Finally, the evaluation results of solar panels showed that the energy produced by photovoltaic modules at an optimal angle of 31° would be equal to 26978 kWh/year, which is more than the energy required by the building. This system can prevent 14471 kg of carbon dioxide emissions annually. Sustainable energy criteria showed that for the studied building, photovoltaic modules could be used in energy production to reach a zero-energy system connected to the grid with an annual energy balance. (shrink)

We often remember in groups, yet research on collaborative recall finds “collaborative inhibition”: Recalling with others has costs compared to recalling alone. In related paradigms, remembering with others introduces errors into recall. We compared costs and benefits of two collaboration procedures—turn taking and consensus. First, 135 individuals learned a word list and recalled it alone (Recall 1). Then, 45 participants in three-member groups took turns to recall, 45 participants in three-member groups reached a consensus, and 45 participants recalled (...) alone but were analysed as three-member nominal groups (Recall 2). Finally, all participants recalled alone (Recall 3). Both turn-taking and consensus groups demonstrated the usual pattern of costs during collaboration and benefits after collaboration in terms of recall completeness. However, consensus groups, and not turn-taking groups, demonstrated clear benefits in terms of recall accuracy, both during and after collaboration. Consensus groups engaged in beneficial group source-monitoring processes. Our findings challenge assumptions about the negative consequences of social remembering. (shrink)

Artificial intelligence is now capable of generating sophisticated and compelling images from simple text prompts. In this paper, I focus specifically on how artists might make use of AI to create art. Most existing discourse analogizes AI to a tool or collaborator; this focuses our attention on AI’s contribution to the production of an artistically significant output. I propose an alternative approach, the exploration paradigm, which suggests that artists instead relate to AI as a participant: artists create a space for (...) interaction with the AI algorithm by way of their prompts, thereby allowing them to explore the way that the algorithm “sees” and “represents.” AI art practiced in this fashion bears a striking resemblance to contemporary conceptual and participatory art. Viewing AI art in this way has implications for the appreciation of style in AI art; concerns about novelty and originality; and the assignment of artistic credit and copyright. (shrink)

Energy consumption prediction plays a critical role in optimizing energy usage, reducing waste, and ensuring the sustainability of power grids. With the growing use of smart meters, sensors, and IoT devices, there is a wealth of real-time data that can be leveraged to predict energy usage patterns. This paper explores the application of machine learning (ML) algorithms in predicting energy consumption, focusing on both residential and industrial settings. By utilizing supervised and unsupervised learning techniques, we demonstrate how ML (...) can provide accurate energy consumption forecasts and improve decision-making for energy management systems. (shrink)

Communication plays an important role in promoting sustainable consumption. Yet how the academic literature conceptualizes and relates communication and sustainable consumption remains poorly understood, despite growing research on communication in the context of sustainable consumption. This article presents the first comprehensive review of sustainable consumption communication (SCC) research as a young and evolving field of scholarly work. Through a systematic review and narrative synthesis of N = 67 peer-reviewed journal articles, we consolidated the research conducted in (...) this field into four distinct types: communication as an approach to (1) behavior change, (2) self-empowerment, (3) systems change, and (4) reflection on current discourses and practices around sustainable consumption. Our findings reveal that most journal articles focus on incremental changes in individual consumer behavior (“weak” sustainable consumption) and employ communication as an intervention tool with little reference to communication science and theory. They also reveal integration challenges arising from the disciplinary diversity and fragmentation characteristic of the research field. Future research should develop shared frameworks and terminology, diversify its foci, synthesize relevant evidence, and innovate critical perspectives that go beyond one-way business-to-consumer communication. The results of our review can serve researchers engaged in sustainable consumption communication to better systematize their efforts and contribute more effectively to changing systems of consumption in the future. (shrink)

Abstract The values of the healthcare sector are fairly ubiquitous across the globe, focusing on caring and respect, patient health, excellence in care delivery, and multi-stakeholder collaboration. Many individual pharmacists embrace these core values. But their ability to honor these values is significantly determined by the nature of the system they work in. -/- The paper starts with a model of the prevailing pharmacist workforce model in Scotland, in which core roles are predominantly separated into hierarchically disaggregated jobs focused on (...) one professional ‘pillar’: Clinician /Practice Provider; Educator; Leader/Manager; and Researcher. This is the ‘Atomistic’ Model. This skills-segregation yields a workforce of individuals working in isolation rather than collaborating together, and lacking a shared information flow, purpose and identity. Key strategic flaws include suboptimal responsiveness to population and subpopulation needs, inconsistency and inequity of care, an erosion of professional agency, and lower job satisfaction. It is conjectured that this results from a lack of congruence between values, professional ethos, and organizational structure. ‘Atomism’ culminates in a syndrome of widespread professional-level cognitive dissonance. -/- The paper contrasts this with a new emerging workforce vision, The Collaborative Care Model. This new model defines a systems-first-approach, built on the principle that all jobs must include all four professional ‘pillars’. Vertical skills integration, involving education and task sharing, will support sustainability and succession planning. Horizontal skills integration (across practice, leadership and research) is included to improve responsiveness to population need and individual professional agency. The working conditions, supportive ethos, and career structure needed to make the model work are described. Moral theory and workforce theory are used to justify why the model may be more effective for population health, delivering greater job satisfaction for individuals and ultimately helping systematically realize and honor healthcare values. Finally, the paper sketches the first steps needed to implement the model at the national level, starting with the operationalization of new multi-pillar professional curricula across the career spectrum. Potential pitfalls and challenges are also discussed. -/- Co-Authors: 1. Paul Forsyth (PF) Lead Pharmacist Clinical Cardiology, Pharmacy, NHS Greater Glasgow & Clyde. Contribution: Conceptualization; Model Curation; Model Theory; Model Visualization; Writing - original draft (lead author), Writing - review & editing (lead author) 2. Andrew Radley (AR), Consultant in Public Health Pharmacy, NHS Tayside. Contribution: Conceptualization; Model curation; Model Theory; Writing - review & editing 3. Gordon Rushworth (GR), MPharm MSc FFRPS FRPharmS (Consultant). Programme Director, Highland Pharmacy Education & Research Centre, NHS Highland, Inverness. Contribution: Model curation; Writing - review & editing 4. Fiona Marra (FM) National Lead Clinician Scottish Infection and Immunology Network (SPAIIN) / Advanced Pharmacist HCV / HIV, NHS Greater Glasgow & Clyde. Contribution: Model curation; Writing - review & editing 5. Susan Roberts (SR) Associate Postgraduate Pharmacy Dean, NHS Education for Scotland. Contribution: Model curation; Writing - review & editing 6. Roisin O’Hare (RO) Lead Teacher Practitioner Pharmacist, Northern Ireland University Network, Southern Health and Social Care Trust. Contribution: Model curation; Writing - review & editing 7. Catherine Duggan (CD) Chief Executive Officer, International Pharmaceutical Federation (FIP). Contribution: Model curation; Writing - review & editing 8. Barry Maguire (BM) Senior Lecturer, School of Philosophy, Psychology and Life Sciences, The University of Edinburgh. Contribution: Conceptualization; Model Curation; Model Theory; Model Visualization; Supervision; Writing - original draft (senior academic supervisor), Writing - review & editing (senior academic supervisor) -/- . (shrink)

I start with a brief assessment of the implications of Sterelny’s anti-individualist, anti-internalist apprentice learning model for a more historical and interdisciplinary cognitive science. In a selective response I then focus on two core features of his constructive account: collaboration and skill. While affirming the centrality of joint action and decision making, I raise some concerns about the fragility of the conditions under which collaborative cognition brings benefits. I then assess Sterelny’s view of skill acquisition and performance, which runs (...) counter to dominant theories that stress the automaticity of skill. I suggest that it may still overestimate the need for and ability of experts to decompose and represent the elements of their own practical knowledge. (shrink)

The increasing computational demands of artificial intelligence (AI) workloads have significantly escalated energy consumption in data centers. AI-driven applications, including deep learning, natural language processing, and autonomous systems, require substantial computing power, primarily provided by Graphics Processing Units. These GPUs, while enhancing computational efficiency, contribute to significant power consumption and heat generation, necessitating advanced cooling strategies. This study provides a quantitative assessment of AI-specific hardware power usage, focusing on the NVIDIA H100 GPU. The analysis compares AI data center (...) energy consumption to the average US household power usage, demonstrating that a single AI rack consumes approximately 39 times the energy of a typical household. Additionally, a scalability analysis estimates that approximately 87 new hyper-scale data centers consume the electricity as much as consumed by New York City. This emphasizes that with rapid growth of AI Data Centers, the large-scale deployment could lead to an unprecedented rise in global energy demand. Furthermore, the study evaluates the impact of heat dissipation on cooling requirements, highlighting the need for energy- efficient cooling solutions, including liquid and immersion cooling techniques. Future research directions include energy- efficient AI models, renewable energy integration, sustainable AI accelerator designs, and intelligent workload optimization to mitigate the environmental impact of large-scale AI adoption. This research provides critical insights for designing more sustainable AI-driven data centers while maintaining high-performance computing efficiency. (shrink)