Urban infrastructures serve as the backbone of modern economies, mediating global exchanges and responding to urban demands. Yet, our comprehension of these complex structures, particularly within diverse socio-political terrain, remains fragmented. In bridging this knowledge gap, this study delves into “boundary objects”—entities enabling diverse stakeholders to collaborate without a comprehensive consensus. Central to our investigation is the hypothesis that oceanic infrastructural developments are instrumental in molding the interface of urban, industrial, and energy sectors within marine contexts. Our lens is directed (...) at the Gulf of Mexico, which is distinguished by its industrial depth and expansive marine grid. We highlight the Gulf Intracoastal Waterway’s (GIWW) paramount role in regional movement and the ecological facets of practices such as dredging, which is vital for transport and coastal conservation. A striking revelation of our study is the transformation of offshore structures in the Gulf into vibrant marine habitats. Emphasizing the intertwined nature of marine infrastructures, we denote oceans as pivotal platforms for impending urban expansion, especially as land resources wane. Our research aspires to validate the role played by oceans as a nexus in the urban–industrial–energy fusion. (shrink)

The article presents the reasons for which the issue of providing housing to low-income citizens has been a real challenge in Addis Ababa during the recent years and will continue to be, given that its population is growing extremely fast. It examines the tensions between the universal aspirations and the local realities in the case of some of Ethiopia’s most ambitious mass pro-poor housing schemes, such as the “Addis Ababa Grand Housing Program” (AAGHP), which was launched in 2004 and was (...) integrated in the “Integrated Housing Development Program” (IHDP) in 2006. The article argues that the quotidian practices of communities and their socio-economic and cultural characteristics are related to the spatial attributes of co-housing practices. Drawing upon the idea that there is a mutual correspondence between social and spatial structures, it places particular emphasis on the analysis of the IHDP and aims to show that to shape strategies that take into account the social and cultural aspects of daily life of the poor citizens of Addis Ababa, it is pivotal to invite them to take part in the decision-making processes regarding their resettlement. Departing from the fact that a large percentage of the housing supply in Addis Ababa consists of informal unplanned housing, the article also compares the commoning practices in kebele houses and condominium units. The former refers to the legal informal housing units owned by the government and rented to their dwellers, whereas the latter concerns the housing blocks built in the framework of the IHDP for the resettlement of the kebele dwellers. The article analyzes these processes of resettlement, shedding light of the fact that kebele houses were located at the inner city, whereas the condominiums are located in the suburbs. Despite the fact that the living conditions in the condominium units are of a much higher quality than those in the kebele houses, their design underestimated or even neglected the role of the commoning practices. The article highlights the advantages of commoning practices in architecture and urban planning, and how the implementation of participation-oriented solutions can respond to the difficulties of providing housing. It argues that understanding the significance of the endeavors that take into account the opinions of dwellers during the phase of decision-making goes hand in hand with considering commoning practices as a source of architecture and urban planning frameworks for low-cost housing in this specific context. The key argument of the article is that urban planning and architecture solutions in Addis Ababa should be based on the principles of the so-called “negotiated planning” approach, which implies a close analysis of the interconnections between planning, infrastructure, and land. (shrink)

The rapid proliferation of Internet of Things (IoT) devices in smart cities has introduced numerous benefits, enhancing urban efficiency, sustainability, and automation. However, these interconnected systems also pose significant cybersecurity challenges, including data breaches, unauthorized access, and cyberattacks that can compromise critical infrastructure. This paper explores various cybersecurity strategies tailored for IoT environments in smart cities, focusing on encryption techniques, secure authentication mechanisms, network security protocols, and blockchain-based security models. Additionally, it discusses machine learningbased anomaly detection systems to (...) identify potential cyber threats in real time. By analyzing existing security frameworks and emerging solutions, this study provides a comprehensive approach to safeguarding IoT devices in smart urban ecosystems. The findings emphasize the need for a multi-layered security model and proactive threat mitigation strategies to ensure the resilience and integrity of smart city infrastructures. (shrink)

Given that one-million species are currently threatened with extinction and that humans are undermining the entire natural infrastructure on which our modern world depends (IPBES, 2019), this dissertation will show that there is a need to provide an alternative approach to wildlife conservation, one that avoids anthropocentrism and wildlife valuation on an instrumental basis to provide meaningful and tangible success for both wildlife conservation and human well-being in an inclusive way. In this sense, The Value of Being Wild will (...) showcase the concept of eco-phenomenology as an important non-anthropocentric alternative to the current approach to wildlife conservation, namely sustainable development. The problem with this dominant paradigm, as Chapter Two will reveal, is that sustainable development has not only failed to provide humans and future generations of humans with their own needs but, as per the latest IPBES report, failed in arresting the freefall decline of wild species. The situation currently requires a radical overhaul of the current system. As emerged from the later work of French phenomenologist, Maurice Merleau-Ponty (1908-1961), eco-phenomenology is particularly well-suited as a practical alternative to sustainable development. The core reason is that eco-phenomenology moves away from a human-centred framework toward a far more inclusive approach that embraces the conservation of wild animals as well the wild environment they dwell in, beyond any human needs (although humans are embraced within the approach too). Merleau-Ponty helps us to move away from anthropocentrism to a more inclusive approach in conserving wildlife, since his phenomenology does not consider the human animal’s relationship in the world as exclusive (to use and exploit wild animals solely for their benefit), but inclusive (as an interconnected biological component in a broad ecological system). The strength of Merleau-Ponty’s concept of phenomenology is that it facilitates an understanding of all living and even non-living entities, such as air, water and soil, as interconnected and interrelated within a broad biosphere. While Merleau-Ponty did not address the concept of wild animals or the biosphere directly, his later work points to the fact that human animals cannot exist outside a world that provides life-giving force to all living beings. Phenomenology, as developed by Merleau-Ponty, is a concept that recognises the axiological qualities of the natural world are inherent and ineliminable from the discipline of traditional phenomenology, hence the term ‘eco-phenomenology’, developed in one reception of his thinking. Eco-phenomenology offers a return to a world that humans have tried hard to alienate themselves from, in that it approaches the natural environment and wild animals, not as a complex set of objects and objective processes, but rather as they are experienced and lived from within by the attentive animal who is entirely a part of the world that he or she experiences. Merleau-Pontian eco-phenomenology thus emphasises a holistic dialogue within a more-than-human world (Abram, 1996: 65). Eco-phenomenology is a concept that points toward an applied strategy but so far this has not been attempted in earnest. This is specifically true when it comes to wildlife conservation. The Value of Being Wild, therefore, sets out to employ the concept of eco-phenomenology in order to provide a new practical wildlife conservation approach that challenges, and potentially replaces, the current prevailing policies as employed by global governmental and inter-governmental agencies. In particular, this alternative frame is posed as a replacement for the failing anthropocentric conservation practices currently in place in South Africa. This dissertation will therefore conclude by exploring strategies where conservation of wildlife is not taken as instrumentally-valued, or even intrinsically-valued, but rather as wild-valued in that the existence of wild animals as wild is conserved within a broader, more inclusive overall ecology that supports the survival and flourishing of all living beings that include plants, wild animals and human beings. (shrink)

Social machines are systems formed by technical and human elements interacting in a structured manner. The use of digital platforms as mediators allows large numbers of human participants to join such mechanisms, creating systems where interconnected digital and human components operate as a single machine capable of highly sophisticated behaviour. Under certain conditions, such systems can be described as autonomous and goal-driven agents. Many examples of modern Artificial Intelligence (AI) can be regarded as instances of this class of mechanisms. (...) We argue that this type of autonomous social machines has provided a new paradigm for the design of intelligent systems marking a new phase in the field of AI. The consequences of this observation range from methodological, philosophical to ethical. On the one side, it emphasises the role of Human-Computer Interaction in the design of intelligent systems, while on the other side it draws attention to both the risks for a human being and those for a society relying on mechanisms that are not necessarily controllable. The difficulty by companies in regulating the spread of misinformation, as well as those by authorities to protect task-workers managed by a software infrastructure, could be just some of the effects of this technological paradigm. (shrink)

A Balanced Economic Model: The Feedback Loop Between Public and Private Sectors with MMT as a Stabilizing Mechanism -/- Introduction -/- Modern capitalism thrives on competition, profit motives, and consumer demand. However, the system is flawed because it allows extreme wealth inequality, market instability, and frequent economic crashes. Advertising, as an essential part of capitalism, manipulates consumer behavior to sustain profits. While this fuels economic growth, it also distorts the real needs of society. -/- A better alternative Is a hybrid (...) economic model where government-created jobs, social safety nets, and free public services coexist with a profit-driven private sector. The key to making this work is a feedback loop mechanism that keeps the two sectors balanced, ensuring economic stability while preventing extreme inequality and unnecessary market collapses. This essay explores how Modern Monetary Theory (MMT) can support this feedback loop economy to create a self-regulating system where both public and private sectors benefit from each other. -/- I. The Feedback Loop Between Private Companies and Government Economic Policies -/- A feedback loop mechanism is a self-regulating system where different components interact, adjust, and respond to maintain balance. In the economy, the public sector (government jobs, social safety nets, and public services) and the private sector (businesses, investments, and free markets) create a mutual dependency: -/- 1. Government Spending Creates Consumer Demand → Private Sector Growth -/- Government creates jobs with good salaries in infrastructure, education, healthcare, and technology. -/- This injects money into the economy, giving people the purchasing power to buy goods and services from private companies. -/- As demand increases, businesses grow, hire more workers, and expand operations. -/- 2. Private Sector Growth → Increases Government Revenue Without High Taxation -/- As private companies generate profits, they pay taxes and reinvest in expansion. -/- Strong consumer demand reduces the need for excessive taxation because economic growth itself funds public programs. -/- Businesses compete not only for profits but also for innovation and efficiency. -/- 3. Social Safety Nets Prevent Market Collapses -/- During recessions, government stabilizes the economy by expanding social programs (unemployment benefits, food assistance, healthcare). -/- This prevents demand from crashing, ensuring that businesses still have customers even in economic downturns. -/- As the economy recovers, government reduces spending, allowing the private sector to take the lead again. -/- This dynamic cycle ensures that economic booms and recessions are smoothed out, preventing extreme market crashes or mass unemployment. -/- II. The Role of MMT in Supporting the Feedback Loop -/- Modern Monetary Theory (MMT) provides the economic foundation for this model by proving that a sovereign government can spend money without being constrained by traditional budget rules. Unlike mainstream economic thinking, which suggests that governments must “balance the budget,” MMT argues that government spending should adjust based on economic conditions. -/- 1. Government-Backed Job Programs as an Economic Stabilizer -/- MMT allows governments to fund public jobs without relying solely on taxation. -/- If private companies cut jobs, the government can expand its workforce to absorb the unemployed. -/- When the economy stabilizes, people move back to higher-paying private jobs, reducing government spending. -/- 2. Preventing Inflation Through Resource Control -/- MMT acknowledges that inflation happens when there’s too much money chasing too few goods. -/- The government can remove excess money through targeted taxation and invest in productivity (e.g., infrastructure, education) to keep supply stable. -/- This prevents excessive inflation while keeping the economy growing. -/- 3. Continuous Money Circulation Without Debt Crises -/- Governments can print money to fund essential services, but they control inflation by investing in real production capacity (e.g., factories, renewable energy, technology). -/- This means public investment directly benefits private businesses, keeping both sectors in sync. -/- This MMT-backed feedback loop ensures that economic downturns do not lead to catastrophic business failures or mass unemployment. -/- III. The Role of Advertising in a Balanced Economic System -/- Advertising, while necessary for businesses, often manipulates consumer behavior in a way that creates artificial demand. In a feedback loop economy, advertising should be regulated to align with real consumer needs rather than exploiting psychological weaknesses. -/- 1. Ethical Advertising Policies -/- Companies should be incentivized to market based on quality and innovation rather than manipulation. -/- False advertising and monopolistic dominance should be regulated to prevent consumer exploitation. -/- 2. Consumer Education Programs -/- Public education should include critical thinking courses to help people make informed purchasing decisions. -/- This reduces the influence of manipulative advertising, ensuring that businesses compete fairly. -/- This ensures that the feedback loop remains healthy, preventing unnecessary overproduction and unsustainable consumer debt. -/- IV. Real-World Examples of a Balanced System -/- Some countries have successfully implemented elements of this feedback loop economic model: -/- Nordic Countries (Sweden, Norway, Denmark, Finland) -/- Have free healthcare, education, and social safety nets while maintaining a competitive private sector. -/- Use progressive taxation to prevent extreme inequality, ensuring that economic growth benefits everyone. -/- Germany -/- Uses government-backed vocational training programs to ensure a highly skilled workforce. -/- Strong public-private partnerships help both sectors support each other dynamically. -/- Japan -/- Government plays a major role in funding research, infrastructure, and innovation, allowing private businesses to thrive. -/- Uses state-owned enterprises strategically while ensuring a competitive private market. -/- These examples prove that a properly managed hybrid model is more resilient, fair, and stable than extreme capitalism or extreme socialism. -/- V. Conclusion: A Self-Regulating Economy for the Future -/- A feedback loop economic system provides the best of both worlds: ✔ Government ensures economic stability through public job creation and social safety nets. ✔ Private companies drive innovation and competitiveness with strong consumer demand. ✔ MMT allows government spending to adjust dynamically without unnecessary austerity measures. ✔ Advertising is reformed to encourage ethical business practices and informed consumer choices. ✔ Inflation is controlled through taxation, investment, and resource management. -/- By integrating these feedback loop mechanisms, we can create a self-regulating economic model where both public and private sectors reinforce each other, ensuring long-term stability, prosperity, and economic fairness. -/- Policy Framework for a Balanced Economic System: Global Best Practices -/- To fully integrate the feedback loop mechanism between the public and private sectors, specific policies must be implemented to ensure economic stability, innovation, and fairness. Below are real-world policy examples that demonstrate how different countries successfully manage their economies using a mix of government intervention and free market principles. -/- I. Public Job Creation as an Economic Stabilizer -/- One of the biggest issues in capitalism is economic recessions leading to mass layoffs, which then reduce consumer spending, creating a vicious cycle of economic decline. The solution is public sector job programs that absorb unemployed workers during downturns and allow them to transition back to private jobs when the economy improves. -/- Global Examples -/- ✔ United States (New Deal Programs – 1930s) -/- During the Great Depression, the U.S. government created millions of jobs in construction, public works, and conservation projects. -/- These projects boosted infrastructure while providing employment, helping to revive the economy. -/- ✔ Argentina’s Jefes de Hogar Program (2002-2006) -/- Aimed at mitigating mass unemployment during Argentina’s economic crisis. -/- The government hired unemployed citizens to work in community service, infrastructure, and public health projects. -/- Created social stability and demand for private goods, helping Argentina recover. -/- ✔ Germany’s Kurzarbeit Program (Ongoing) -/- In times of economic slowdown, the German government pays companies to keep workers employed at reduced hours rather than laying them off. -/- This prevents mass unemployment, ensuring that workers still have income and spending power. -/- Policy Recommendation: → Implement automatic public employment programs during recessions to keep demand stable and prevent economic crashes. -/- II. Social Safety Nets to Support Consumer Demand -/- A strong social safety net ensures that consumers have purchasing power even in economic downturns, keeping the private sector stable. -/- Global Examples -/- ✔ Nordic Model (Denmark, Sweden, Norway, Finland) -/- Provides free healthcare, education, and unemployment benefits, preventing extreme poverty. -/- Funded through progressive taxation, ensuring that the wealthy contribute fairly to society. -/- This creates a stable consumer base for private companies, benefiting the entire economy. -/- ✔ Universal Basic Income (UBI) Experiments (Finland, Canada, Kenya) -/- Finland tested a UBI program where unemployed citizens received a monthly payment regardless of employment status. -/- Results showed that recipients were more likely to start businesses and find better jobs, proving that social safety nets do not reduce work incentives. -/- ✔ Singapore’s Housing and Retirement System -/- The government helps citizens buy homes with public funds, ensuring stable housing. -/- A mandatory retirement savings system (Central Provident Fund) ensures that people have money after they retire. -/- These policies reduce financial anxiety, allowing people to focus on entrepreneurship and economic growth. -/- Policy Recommendation: → Implement universal healthcare, free education, and unemployment benefits to ensure that economic downturns do not collapse consumer spending. -/- III. Regulating Advertising to Align with Consumer Needs -/- Unregulated advertising manipulates consumer behavior, creating unnecessary demand and overconsumption, which destabilizes economies. Governments can regulate advertising to ensure ethical business practices. -/- Global Examples -/- ✔ European Union (Strict Advertising Laws) -/- The EU bans false advertising, ensuring that companies cannot make misleading claims about their products. -/- Certain junk food and alcohol ads are restricted to protect public health. -/- ✔ France’s Ban on Child-Targeted Advertising -/- Prevents unethical marketing towards children, reducing unnecessary consumerism. -/- ✔ Japan’s Culture of Product Quality Over Hype -/- Japanese companies emphasize product reliability and long-term value, reducing dependence on manipulative advertising. -/- Policy Recommendation: → Implement ethical advertising regulations to prevent false marketing, predatory ads targeting vulnerable consumers, and excessive consumer debt. -/- IV. Public-Private Partnerships for Innovation and Infrastructure -/- Rather than treating the government and private sector as separate entities, a well-balanced system interconnects them through public-private partnerships (PPPs) to drive innovation. -/- Global Examples -/- ✔ Germany’s Mittelstand Model (SME Support System) -/- The German government provides long-term financial support to small and medium-sized enterprises (SMEs), which are the backbone of the economy. -/- Ensures that private businesses have stable growth without excessive corporate monopolies. -/- ✔ China’s State-Led Economic Model (Strategic Government Investments) -/- The government invests heavily in infrastructure and technology, allowing private businesses to thrive with low-cost logistics and energy. -/- Balances capitalist competition with government support, ensuring stability. -/- ✔ United States (NASA & SpaceX Collaboration) -/- NASA funded SpaceX and other private space companies, leading to rapid innovation in space technology. -/- This proves that government funding can accelerate private sector breakthroughs. -/- Policy Recommendation: → Use government funding to support innovation and long-term infrastructure projects while allowing private businesses to benefit and expand. -/- V. MMT as a Tool for Economic Stability -/- Traditional economic models suggest that governments must “balance their budgets” like households, but this is a flawed concept. Modern Monetary Theory (MMT) argues that sovereign nations with their own currency (like the U.S., Japan, and the UK) can create money to fund essential services without relying on debt from private banks. -/- How MMT Works in Practice -/- ✔ Japan’s National Debt Strategy -/- Japan has one of the highest debt-to-GDP ratios in the world, yet it has no financial crisis because it borrows in its own currency. -/- Instead of austerity, Japan uses public investment to maintain economic stability. -/- ✔ U.S. Stimulus During COVID-19 -/- The U.S. government printed money to send direct payments to citizens, preventing a total economic collapse. -/- Inflation was controlled by adjusting taxation and investment in production capacity. -/- ✔ EU’s Post-COVID Recovery Fund -/- The European Union used public money to stabilize industries and workers, preventing extreme recessions. -/- Policy Recommendation: → Use MMT-based strategies to fund infrastructure, social programs, and innovation, ensuring economic stability without excessive reliance on private banking debt. -/- VI. Conclusion: Creating a Self-Regulating Economy -/- A feedback loop economy that integrates public job creation, private sector competition, social safety nets, and MMT-backed fiscal policies provides a self-regulating system that ensures: -/- ✔ Stable employment and consumer demand even during economic downturns. ✔ Innovation and competition in the private sector without excessive monopolies or market crashes. ✔ Government-funded infrastructure and social programs that benefit both workers and businesses. ✔ Ethical advertising that prevents consumer exploitation and unnecessary debt. ✔ Balanced inflation control through strategic taxation and investment. -/- By combining the best policies from different global models, we can build an economic system that minimizes business bankruptcies, prevents recessions, and maximizes innovation and economic fairness. -/- . (shrink)

The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of (...) nodes. This results in Big Data congestion, data management, storage issues and various inefficiencies. Fog Computing aims at solving the issues with data management as it includes intelligent computational components and storage closer to the data sources. Often, an IoT-enabled infrastructure is shared among many users with various requirements. Sharing resources, sharing operational costs and collective decision making (consensus) among many stakeholders is frequently neglected. This research addresses an essential requirement for adaptive, autonomous and consensus-based Fog computational solutions which are able to support distributed and in-network schemes and policies. These network schemes and policies need to meet the requirements of many users. In this work, innovative consensus-based computational solutions are investigated. These proposed solutions aim to correlate and organise data for effective management and decision making in Fog. Instead of individual decision making, the algorithms aim to aggregate several decisions into a consensus decision representing a collective agreement, benefiting from the individuals variant knowledge and meeting multiple stakeholders requirements. In order to validate the proposed solutions, hybrid research methodology is involved that includes the design of a test-bed and the execution of several experiments. In order to investigate the effectiveness of the paradigm, three experiments were designed and validated. Real-life sensor data and synthetic statistical data was collected, processed and analysed. Bayesian Machine Learning models and Analytics were used to consolidate the design and evaluate the performance of the algorithms. In the Fog environment, the first scenario tests the Aggregation by Distribution algorithm. The solution contribute in achieving a notable efficiency of data delivery obtained with a minimal loss in precision. The second scenario validates the merits of the approach in predicting the activities of high mobility IoT applications. The third scenario tests the applications related to smart home IoT. All proposed Consensus algorithms use statistical analysis to support effective decision making in Fog and enable data aggregation for optimal storage, data transmission, processing and analytics. The final results of all experiments showed that all the implemented consensus approaches surpass the individual ones in different performance terms. Formal results also showed that the paradigm is a good fit in many IoT environments and can be suitable for different scenarios when applying data analysis to correlate data with the design. Finally, the design demonstrates that Fog Computing can compete with Cloud Computing in terms of accuracy with an added preference of locality. (shrink)

The Importance of Holistically Empowering All Levels of Government Leadership for National Development -/- A nation’s progress is deeply rooted in the quality of its leadership at all levels of government. Effective governance requires more than just political authority—it demands informed decision-making, ethical governance, and strategic planning to achieve sustainable development. Holistically empowering all levels of government leadership is crucial to ensuring that policies are implemented effectively, economic stability is maintained, and the country remains resilient against global and local challenges. (...) Without well-trained and knowledgeable leaders, a nation risks falling into cycles of corruption, inefficiency, and instability. -/- This essay explores the importance of empowering all levels of government leadership, emphasizing how this approach strengthens governance, improves policy implementation, stabilizes the economy, and promotes sustainable national development. -/- Strategic and Balanced Decision-Making -/- When all levels of government leadership—from local officials to national policymakers—are holistically educated and empowered, decision-making becomes more strategic and well-balanced. Informed leaders understand the long-term consequences of their actions and avoid making impulsive or politically motivated choices that could destabilize the country. This ensures that governance is driven by rational planning rather than personal or short-term interests. -/- For example, countries with strong leadership development programs, such as Singapore, have demonstrated how well-informed leaders can create policies that prioritize long-term economic stability and social welfare over immediate political gains. By empowering leaders with knowledge of sustainable development, a nation ensures that progress is not only rapid but also lasting. -/- Strengthening Governance and Accountability -/- Weak leadership structures are often the root cause of corruption and inefficiency. When government leaders lack proper education in governance, economics, and ethics, they become more susceptible to corrupt practices or poor decision-making. Holistically empowering leaders through continuous education, training, and ethical reinforcement ensures a transparent and accountable government. -/- A good example is Scandinavian countries, where leadership development programs emphasize ethics, social responsibility, and economic sustainability. As a result, these countries have some of the lowest corruption levels in the world, proving that well-educated leaders are less likely to engage in corrupt activities. -/- Effective Policy Implementation -/- Even the best policies will fail if they are not implemented properly. Many developing nations struggle with policy execution due to gaps in leadership competency at different government levels. When national leaders create policies without ensuring that local leaders understand and support them, the implementation becomes weak or inconsistent. -/- By empowering leadership across all government levels, policies can be efficiently translated into real-world progress. For example, China’s rapid development was achieved not only through national-level planning but also by ensuring that local government officials were highly trained in economic management, urban planning, and infrastructure development. -/- Economic and Social Stability -/- A country’s economic health depends on leadership that understands economic sustainability. Leaders who rely solely on continuous economic growth without balancing resource management and population control risk creating long-term economic instability. -/- For instance, excessive reliance on resource extraction without reinvesting in sustainable industries has led to economic collapse in countries like Venezuela. In contrast, nations such as Germany have maintained economic stability by ensuring that government leaders at all levels are educated in economic sustainability and long-term planning. -/- Holistic leadership education should emphasize the balance between economic growth, environmental sustainability, and population regulation. Leaders must understand that wealth creation should serve the long-term needs of the people rather than short-term financial gains. -/- Resilience Against Global and Local Challenges -/- Every country faces challenges, whether from climate change, economic recessions, or political crises. A government with empowered leaders at all levels can respond effectively to these challenges. -/- For example, Japan’s efficient response to natural disasters is a result of well-trained leaders at every level of governance, from local mayors to national emergency coordinators. These leaders are educated in crisis management, ensuring that the country can adapt and recover quickly from disasters. -/- Without holistic leadership training, many nations struggle to respond to crises, leading to unnecessary loss of life, economic damage, and political instability. -/- Encouraging Grassroots Development -/- Sustainable development does not only happen at the national level—it must also be driven from the grassroots. Local government leaders play a crucial role in addressing the needs of their communities. When they are empowered with the right knowledge and skills, they can implement national policies effectively while addressing specific local challenges. -/- A good example is how decentralized governance in Switzerland has allowed local leaders to make independent decisions tailored to their communities’ needs while still aligning with national policies. This has led to high-quality public services and economic development at all levels. -/- Reducing Political Polarization and Populism -/- One of the biggest threats to democracy and governance today is political polarization fueled by misinformation and populism. Leaders who lack a holistic education in governance, economics, and social balance are more likely to manipulate public opinion for personal gain. This leads to societal divisions and weak governance. -/- When leaders are trained to understand the principles of balanced decision-making, they can guide the public towards rational, evidence-based solutions rather than emotional or ideological extremes. Countries that invest in political leadership education, such as Canada, have more stable governments with less political conflict. -/- Enhancing International Relations and Competitiveness -/- A country’s ability to engage in diplomacy, attract foreign investment, and maintain strong trade relations depends on the competency of its leaders. Well-educated and empowered government officials can negotiate better trade agreements, establish beneficial international partnerships, and improve the country’s global reputation. -/- For instance, Singapore has become one of the world’s most competitive economies due to its well-trained leaders who understand global trade dynamics, technology, and economic planning. Without a strong leadership framework, countries struggle to remain competitive in an increasingly interconnected world. -/- Solution: A Holistic Leadership Education System -/- To achieve holistic empowerment of government leadership, a structured and continuous leadership education system must be implemented. This system should include: -/- 1. Integration of Leadership Training in Education – Basic education should include subjects that develop critical thinking, governance principles, and ethical decision-making. -/- 2. Specialized Leadership Training for Government Officials – Ongoing training programs should be provided for government officials at all levels to improve their skills in policy-making, economics, and governance. -/- 3. Application of the Universal Law of Balance in Governance – Leaders should be educated on how to apply balance in decision-making to avoid extreme policies that harm economic and social stability. -/- 4. Transparency and Public Accountability Programs – Public officials should be trained in ethical governance, with strict accountability mechanisms in place. -/- Conclusion -/- Holistically empowering all levels of government leadership is the key to a nation’s sustainable development. When leaders are well-trained, accountable, and knowledgeable about governance, economics, and social balance, they can make informed decisions that benefit the country in the long run. -/- A nation that Invests in its leadership structure strengthens governance, improves policy implementation, stabilizes the economy, and builds resilience against crises. By ensuring that leadership education is integrated into all levels of governance, a country can achieve long-term progress and avoid the pitfalls of corruption, political instability, and economic collapse. -/- A true path to national development lies not just in economic policies but in the empowerment of those who lead the nation. -/- . (shrink)

Achieving Coherence introduces a transformative framework for understanding and managing the complexities of dynamic systems. In a world where uncertainty and interconnected challenges define the landscape, the SPARC framework (Spectrum of Possibility and Recursive Choice) offers a unified model to address these issues, bridging the gap between theory and application across disciplines. This work explores the principles of coherence, constraint satisfaction, and recursive feedback, shedding light on how systems maintain stability and adapt in the face of evolving constraints and (...) environmental noise. By integrating dimensional transitions, multi-constraint optimization, and resilience to stochastic influences, SPARC provides a novel approach to modeling systems that are inherently complex and interdependent. Applications range from stabilizing critical infrastructure and managing ecosystems under stress to advancing artificial intelligence and optimizing multi-agent systems. By demonstrating how local behaviors interact with global dynamics and how systems can thrive under variability, Achieving Coherence presents a compelling vision for navigating complexity and driving innovation in an interconnected world. (shrink)

What does it mean to be media literate in today’s world? How are we transformed by the many media infrastructures around us? We are immersed in a world mediated by information and communication technologies (ICTs). From hardware like smartphones, smartwatches, and home assistants to software like Facebook, Instagram, Twitter, and Snapchat, our lives have become a complex, interconnected network of relations. Scholarship on media literacy has tended to focus on developing the skills to access, analyze, evaluate, and create media (...) messages without considering or weighing the impact of the technological medium—how it enables and constrains both messages and media users. Additionally, there is often little attention paid to the broader context of interrelations which affect our engagement with media technologies. -/- This book addresses these issues by providing a transdisciplinary method that allows for both practical and theoretical analyses of media investigations. Informed by postphenomenology, media ecology, philosophical posthumanism, and complexity theory the author proposes both a framework and a pragmatic instrument for understanding the multiplicity of relations that all contribute to how we affect—and are affected by—our relations with media technology. The author argues persuasively that the increased awareness provided by this posthuman approach affords us a greater chance for reclaiming some of our agency and provides a sound foundation upon which we can then judge our media relations. This book will be an indispensable tool for educators in media literacy and media studies, as well as academics in philosophy of technology, media and communication studies, and the post-humanities. (shrink)

The rise of the Metaverse as a virtual, interconnected world has captured significant attention in recent years. As businesses increasingly recognize the potential of the Metaverse to transform industries, Microsoft Azure stands out as a leading platform for integrating and scaling Metaverse solutions. This paper explores how Azure's cloud infrastructure, advanced computing capabilities, and digital transformation tools enable businesses to integrate with the Metaverse, opening new opportunities for collaboration, customer engagement, and innovation. Additionally, the paper discusses the challenges (...) associated with implementing Metaverse solutions, such as data privacy, interoperability, and infrastructure scalability. Through a comprehensive analysis of Azure's role in supporting the Metaverse, this paper presents key considerations for enterprises looking to build and sustain their ecosystems in this new digital frontier. (shrink)

The rapid adoption of digital technologies in healthcare has revolutionized patient care, enabling seamless data sharing, remote consultations, and enhanced medical record management. However, this digital transformation has also introduced significant challenges to network security and data protection. Healthcare institutions face a dual challenge: ensuring uninterrupted connectivity for critical operations and safeguarding sensitive patient information from cyber threats. These challenges are exacerbated by the increased use of interconnected devices, electronic health records (EHRs), and cloud-based solutions, which, while enhancing efficiency, (...) expand the attack surface for malicious actors. This research focuses on addressing the pressing need for robust network security in healthcare institutions. It examines the unique vulnerabilities of healthcare networks, including the risks posed by outdated infrastructure, insufficient encryption protocols, and the lack of standardized security practices across systems. The paper highlights the critical role of advanced cybersecurity frameworks, such as zero-trust architectures and realtime threat detection systems, in mitigating risks. Additionally, it explores the integration of artificial intelligence (AI) and machine learning (ML) in enhancing the predictive capabilities of security tools, enabling institutions to proactively identify and neutralize potential threats. Connectivity remains a cornerstone of modern healthcare operations, facilitating collaboration among healthcare providers and ensuring timely access to patient data. However, maintaining connectivity without compromising security is a complex task. This research delves into strategies for achieving this balance, such as implementing secure Virtual Private Networks (VPNs), multi-factor authentication (MFA), and end-to-end encryption. It also emphasizes the importance of regular network assessments, employee training programs, and the adoption of compliance standards like HIPAA to ensure a secure and resilient network environment. The study includes case analyses of healthcare institutions that successfully navigated cybersecurity challenges, providing actionable insights into effective practices and lessons learned. These examples underscore the importance of integrating technological solutions with a culture of security awareness, emphasizing collaboration between IT professionals and medical staff. As cyber threats continue to evolve, healthcare institutions must remain vigilant and adaptive, embracing innovative solutions to safeguard their networks and protect patient data. This paper contributes to the broader discourse on cybersecurity in healthcare by proposing a comprehensive approach that addresses connectivity and data protection challenges while fostering operational efficiency. By prioritizing network security, healthcare institutions can build trust with patients, comply with regulatory requirements, and ensure the uninterrupted delivery of quality care. This research provides a roadmap for healthcare organizations seeking to strengthen their cybersecurity posture, highlighting the necessity of adopting a proactive, multi-layered approach to combat emerging threats. It calls for continuous investment in advanced technologies and emphasizes the role of collaboration among stakeholders to create a secure and connected healthcare ecosystem. (shrink)

The modern global technological landscape is shaped by rapid advances and interconnectivity, leading to a complex ecosystem of innovation, competition and collaboration. Significant developments are being seen in artificial intelligence, telecommunications, biotechnology and energy technologies. Digitalization is redefining industries such as healthcare, transport and finance, while cross-border data flows and 5G infrastructure are accelerating global connectivity. Key players such as the United States, China and Japan are investing heavily in research and development, pushing the capabilities of AI and quantum (...) computing further. These nations have adopted strategic initiatives to increase their technological self-confidence and ensure that their companies remain at the forefront of innovation. The European Union is positioned as a distinct player in the global technological landscape, aiming to stimulate innovation while ensuring trust, privacy and sustainability. By leveraging its regulatory power, investing in digital infrastructure and increasing collaboration between Member States, the EU is seeking to increase its strategic autonomy and competitiveness in the face of rapid technological change. Romania has seen significant development in its technology sector over the past two decades. Driven by a combination of government support, a well-educated workforce and strategic positioning within the European Union, Romania is increasingly making its mark on the technology scene. This study provides an overview of current global technology trends and the state of technology resources in the European Union and in Romania in particular, analyzing the strengths and weaknesses of the sector and highlighting the opportunities and challenges ahead. (shrink)

A naturalistic impulse has taken speculative analytic metaphysics in its critical sights. Importantly, the claim that it is desirable or requisite to give metaphysics scientific moorings rests on underlying epistemological assumptions or principles. If the naturalistic impulse toward metaphysics is to be well-founded and its prescriptions to have normative force, those assumptions or principles should be spelled out and justified. In short, advocates of naturalized or scientific metaphysics require epistemic infrastructure. This paper begins to supply it. The author first (...) sketches her conception of suitably naturalized or scientific metaphysics. She then lays out a number of candidate epistemic principles centring around the notion of theoretical constraint. The author offers several arguments for the principles, based on statistical likeliness, agreement, falsity avoidance, and methodological efficiency and inefficiency. Finally, she shows how scientific metaphysics satisfies the epistemic principles and is therefore preferable to its traditional rivals. (shrink)

ArgumentIn the United States, scientific knowledge is brought before the courts by way of testimony – the testimony of scientific experts. We argue that this expertise is best understoodfirstas related to the quality of the underlying scienceand thenin terms of who delivers it. Bloodstain pattern analysis (BPA), a contemporary forensic science, serves as the vaulting point for our exploration of objectivity as a metric for the quality of a science in judicial contexts. We argue that BPA fails to meet the (...) minimal standard set by Helen Longino’s social-procedural account of objectivity (1990, 2002). In light of some pressing issues for social-procedural accounts, we offer an infrastructural account of objectivity. This account offers what amounts to a friendly amendment to Longino’s account and adds to the ways in which we might analyze social-procedural objectivity. Finally, we address an issue that is pressing in the legal context: given that scientific knowledge is delivered by individuals, not communities, at least in U.S. courts, we (may) need a way to evaluate individual scientific and epistemic agents. We suggest a means for making this evaluation that is derived from our infrastructural account of objectivity. (shrink)

The article presents the results of an interdisciplinary (psychological, behavioral, sociological, urban) survey of residents of elite residential complexes of Odessa regarding theirs urban infrastructure preferences, as well as the degree of satisfaction with their place of residence. It was found that respondents are characterized by a high level of satisfaction with their place of residence. It was also revealed that the security criterion of the district is the main one for choosing a place of residence, which indicates the (...) unmet townspeople need for the general safety of the urban environment. Based on the obtained empirical data, an analysis of significant factors affecting the urban infrastructure preferences of residents from the point of view of the systemic concept of the social ecology of the city is conducted. Obtained data viewed that living in high-rise (multi-storey) buildings correlates with a low level of satisfaction, while low-rise buildings positively correlate with such significant aspects as the view from the window, a small number of neighbors, proximity to the sea, and effective house management. Multivariate regression revealed a positive relationship with such infrastructure objects as shopping and entertainment centers, postal services, places of family leisure, etc., which indicates the dominance of the consumer strategy in the behavior of the city resident. The collected empirical material served as the base for identifying the behavioral trends of the townspeople and allowed to simulate a qualitative profile of the activity of everyday support and personal development. (shrink)

From a socio-theoretical and media-theoretical perspective, this article analyses exemplary practices and structural characteristics of contemporary digital political campaigning to illustrate a transformation of the public sphere through the platform economy. The article first examines Cambridge Analytica and reconstructs its operational procedure, which, far from involving exceptionally new digital campaign practices, turns out to be quite standard. It then evaluates the role of Facebook as an enabling ‘affective infrastructure’, technologically orchestrating processes of political opinion-formation. Of special concern are various (...) tactics of ‘feedback propaganda’ and algorithmic-based user engagement that reflect, at a more theoretical level, the merging of surveillance-capitalist commercialization with a cybernetic logic of communication. The article proposes that this techno-economic dynamic reflects a continuation of the structural transformation of the public sphere. What Jürgen Habermas had analysed in terms of an economic fabrication of the public sphere in the 1960s is now advancing in a more radical form, and on a more programmatic basis, through the algorithmic architecture of social media. As the authors argue, this process will eventually lead to a new form of ‘infrastructural power’. (shrink)

This paper investigates agents’ blameworthiness when they are part of a group that does harm. We analyse three factors that affect the scope of an agent’s blameworthiness in these cases: shared intentionality, interpersonal influence, and common knowledge. Each factor involves circumstantial luck. The more each factor is present, the greater is the scope of each agent’s vicarious blameworthiness for the other agents’ contributions to the harm. We then consider an agent’s degree of blameworthiness, as distinct from her scope of blameworthiness. (...) We suggest that an agent mostly controls her degree of blameworthiness—but even here, luck constrains what possible degrees of blameworthiness are open to her. (shrink)

In We Have Always Been Cyborgs (2021), Stefan L. Sorgner argues that, given the growing economic burden of desirable welfare programs, in order for Western democratic societies to continue to flourish it will be necessary that they establish some form of algocracy (i.e., governance by algorithm). This is argued to be necessary both in order to maintain the sustainability and efficiency of these programs, but also due to the fact that further integration of humans into technical systems provides the only (...) effective means to bridge gaps in functionality and governance. However, Sorgner’s position is entirely insensitive to the design turn in applied ethics, which argues against the neutrality of technology, instead maintaining that technology and society co-construct each other with persistent feedback loops. This, I argue, is a problem for his account inasmuch as technologies, as they become more ubiquitous, likewise become pervasive and inextricable from our sociotechnical infrastructures. As such, less-than-beneficent forces, as current trends illustrate, can appropriate these seemingly banal infrastructures to gear them towards oppressive ends, thereby ultimately threatening the social democracies that Sorgner’s position aims to buttress. (shrink)

A preponderance of empirical research in higher education exists on the use of electronic resources to promote university education and learning. This suggests that this area of research has attracted significant interest worldwide. However, there seems to be inadequate information on the association between specific electronic infrastructures, how they are utilized for learning, and their effects on students’ learning effectiveness in higher institutions in Nigeria. This research draws on previous studies and seeks to establish how different electronic resources are used (...) in universities and how they impact students’ learning effectiveness. Using a descriptive survey design, this survey examined 1,452 participants (undergraduates and postgraduates) from Nigerian universities. The data were analyzed using mean and standard deviation, while a Polytomous Logistic Regression Model was used in testing the hypothesis formulated. Findings showed that the degree of the use of digital infrastructures in universities is low. The extent of learning effectiveness among students in universities is also low. The usage of e-infrastructures (such as e-learning, e-communication, and e-library tools) significantly predicted students’ levels of learning effectiveness. Based on these results, conclusions and relevant theoretical and practical implications are discussed for policy reforms in education and e-learning. This study faces a limitation arising from the small number of universities studied. However, it is suggested that future related studies extend their focus beyond the context of Nigeria. (shrink)

Religiosity is associated with better mental health outcomes including lower levels of anxiety and depression; a greater sense of emotional wellbeing; and personal fulfilment. However, whether religiosity has the same bearing on the mental health of lesbians, gay men, bisexual, and transgender (LGBT+) individuals has yet to be fully established. What is clear is the social environment in which it operates is one that routinely rejects and stigmatises non-heterosexual people. Set within a global context, religion has been acknowledged to be (...) a key agency hostile to the introduction of legislation protecting the civil rights of the LGBT+ populace. In this article, the interconnections between religious hegemony, LGBT+ Christians, and socio-political advances for the equal rights of gay people is explored through an assessment of the scholarly literature and research. This article seeks to contribute to an understanding of the relationship between traditional religion, secular society, and the mental wellbeing of LGBT+ citizens. (shrink)

In this paper I look at the connection between willing and believing for Kant’s and Kantian ethics. I argue that the two main formulations of the categorical imperative are relativized to agents according to their beliefs. I then point out three different ways in which Kant or a present-day Kantian might defend this position. I conclude with some remarks about the contrast between Kant’s legal theory and his ethical theory.

The rapid advancements in cloud computing are transforming enterprise solutions across industries. Among the most promising innovations is quantum computing, which holds the potential to revolutionize how businesses process data, optimize systems, and solve complex problems. Microsoft Azure, a leader in cloud infrastructure, has integrated quantum computing through Azure Quantum to offer scalable quantum solutions. This paper explores the impact of Azure's quantum computing capabilities on enterprise solutions, focusing on scalability, problem-solving efficiency, and future-proofing business operations. By examining Azure’s (...) quantum computing tools, quantum algorithms, and their applications in real-world scenarios, the paper highlights how enterprises can leverage this technology to address computational challenges, enhance performance, and maintain competitive advantage in an increasingly data-driven world. The analysis also addresses the potential hurdles and the importance of preparing cloud infrastructures for the quantum computing era. (shrink)

According to Val Plumwood (1995), liberal-democracy is an authoritarian political system that protects privilege but fails to protect nature. A major obstacle, she says, is radical inequality, which has become increasingly far-reaching under liberal-democracy; an indicator of ‘the capacity of its privileged groups to distribute social goods upwards and to create rigidities which hinder the democratic correctiveness of social institutions’ (p. 134). This cautionary tale has repercussions for education, especially civics and citizenship education. To address this, we explore the potential (...) of what Gerard Delanty calls ‘cultural citizenship’ as an alternative to the disciplinary citizenship that permeates Western liberal discourse. Cultural citizenship emphasises citizenship as communication and continual learning processes, rejecting the idea of citizenship as a fixed set of cultural ideals, norms or values defined and enforced by liberal society’s legal, political and cultural institutions, including education and ‘citizenship training’. However, we contend that a critical first step, essential to democratic correctiveness, is to clear away obstacles created by the privileging of a dominant epistemic position. We conclude that Plumwood’s philosophy alongside John Dewey’s work on democracy and education provide a theoretical framework for effective democratic inquiry aimed towards interconnective, deliberative practice and corrective methodology for epistemic accountability. (shrink)

This volume addresses the ninth Sustainable Development Goal. It focuses particularly on the challenges and complexities of industrial development after the COVID-19 crisis. Issues covered by the volume include, among others, social and cultural aspects of technology transfer and global diffusion of groundbreaking technologies, supply chains and the global economy, redesign of the transport systems, multi-level, cross-sectoral, and multi-sectoral cooperation of various stakeholders, regional and local bottom-up responses to crises, the advances in the access to digital infrastructures as well as (...) information and communications technologies, and the new ideas and approaches relevant for the fields of technological policy, industrial policy, and innovative policy. (shrink)

The thesis contains three empirical studies into economic effects of infrastructure, focusing on different aspects of the Vietnamese economy during the period 2000-2007, namely, economic growth, private sector employment, and private sector location choices. In addition, the empirical studies explicitly take into account the potential existence of cross-province transport infrastructure spillovers. By estimating empirical models specified in accordance with the relevant literature and the context of the Vietnamese economy, and subject to the availability of data, the thesis obtains (...) the following main findings. Firstly, there is evidence of a positive impact of transport infrastructure on economic growth, on private sector employment, and on private sector location choices. Secondly, sectoral differences in the impact of transport infrastructure are identified in the location choice analysis. Thirdly, the cross-province transport infrastructure spillovers cannot be seen in the growth analysis; whereas, there is some evidence of a negative spillover effect on private sector employment. In the location choice analysis, the evidence of spillovers varies dramatically. Finally, higher-education infrastructure, which is assumed to be associated with the capacity of qualified labour supply, is positively related to both private sector employment and location choices. (shrink)

This Chapter explores the integration of Blue- Green Infrastructure (BGI) into urban development using data- driven approaches enhanced by AI- powered ETL (Extract, Transform, Load) systems. As cities face increasing challenges due to climate change, sustainable urban planning practices such as BGI—which combines natural (green) and water management (blue) elements—are critical for resilience. However, the complexity of urban environments demands sophisticated data processing techniques to assess, design, and implement BGI solutions effectively. By adopting AI models within ETL processes, this (...) paper presents a framework that automates the analysis of incoming environmental data, optimizes the planning process, and provides adaptive decision- making tools. The study highlights how AI- augmented ETL systems can process large volumes of geospatial, environmental, and infrastructure data, offering a more efficient, scalable, and intelligent approach to urban BGI integration. Case studies of smart city initiatives employing this technology are discussed, showcasing the benefits of data- driven BGI solutions in enhancing sustainability, urban resilience, and quality of life. (shrink)

The exponential growth of high-frequency real-time financial transactions necessitates scalable machine learning infrastructures capable of processing and forecasting data in real time. This paper proposes a comprehensive design and implementation strategy for such infrastructures using distributed computing frameworks like Apache Spark and cloud services such as Amazon Web Services (AWS). Emphasizing technical specifics, the paper delves into architectural designs, implementation strategies, and optimization techniques that address critical challenges in data ingestion, real-time processing, model training, and deployment. A proof-of-concept implementation demonstrates (...) the feasibility of the proposed architecture on a small scale, highlighting its potential benefits. The findings suggest that implementing a scalable distributed machine learning infrastructure can enhance computational efficiency and significantly improve the accuracy and timeliness of financial forecasts. Future work will involve deploying the proposed architecture in large-scale industry settings to validate its effectiveness in real-world scenarios. (shrink)

Better Economics for the Earth by Quan-Hoang Vuong [and Minh-Hoang Nguyen] offers a fresh perspective on how quantum and information theories can reshape our understanding of economics, especially in relation to environmental issues. The book simplifies complex scientific concepts and connects them to real-world challenges, such as sustainability and resource management. I found it both thought-provoking and accessible, even without a deep background in physics or economics.

Cloud computing has become an essential component of enterprises and organizations globally in the current era of digital technology. The cloud has a multitude of advantages, including scalability, flexibility, and cost-effectiveness, rendering it an appealing choice for data storage and processing. The increasing storage of sensitive information in cloud environments has raised significant concerns over the security of such systems. The frequency of cyber threats and attacks specifically aimed at cloud infrastructure has been increasing, presenting substantial dangers to the (...) data, reputation, and financial stability of enterprises. Conventional security methods can become inadequate when confronted with ever intricate and dynamic threats. Artificial Intelligence (AI) technologies possess the capacity to significantly transform cloud security through their ability to promptly identify and thwart assaults, adjust to emerging risks, and offer intelligent perspectives for proactive security actions. The objective of this research study is to investigate the utilization of AI technologies in augmenting the security measures within cloud computing systems. This paper aims to offer significant insights and recommendations for businesses seeking to protect their cloud-based assets by analyzing the present state of cloud security, the capabilities of AI, and the possible advantages and obstacles associated with using AI into cloud security policies. (shrink)

Works of fiction are alleged to differ from works of nonfiction in instructing their audience to imagine their content. Indeed, works of fiction have been defined in terms of this feature: they are works that mandate us to imagine their content. This paper examines this definition of works of fiction, focusing on the nature of the activity that ensues in response to reading or watching fiction. Investigating how imaginings function in other contexts, I show, first, that they presuppose a cognitive (...) infrastructure encompassing at least one additional kind of mental state, whose role is to determine, to some degree, truth in an imaginary world. I then discuss the implications for the definition of fiction, showing that the definition should be refined to accommodate the structure that imagining presupposes: a work counts as fiction just in case it mandates us, not only to imagine, but to engage in a more complex mental activity, an activity that in addition to imagining, involves positing a backdrop for our imaginings. (shrink)

This Research Topic explores the ninth Sustainable Development Goal (SDG), which aims to build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation, particularly in the context of post-COVID-19 pandemic recovery. The pandemic significantly impacted the manufacturing sector, leading to a global production drop, job losses, and disrupted supply chains, with less technology-intensive industries taking longer to regain ground. Despite these challenges, the United Nations highlights opportunities to enhance industrialization and technology distribution, emphasizing, among other things, the need (...) to expand mobile broadband networks, increase research and development investment, and improve rural road connectivity. (shrink)

In this article, we deal with the evaluation of the losses suffered by persons living in urban areas as a result of energy services. In the first part, we analyse how by adopting different informational foci we obtain contrasting interpersonal evaluations regarding the same loss. In the second part, we distinguish between a diachronic and a hypothetical/moralised threshold for harm in order to assess whether individuals are benefiting from or being harmed by a given energy service. Our argument is that (...) the most accurate evaluation of an individual damage caused by an energy service can be obtained by using capabilities as informational focus, instead of realised wellbeing or means to wellbeing, and by interpreting the loss in relation to a hypothetical/moralised threshold that corresponds to a list of central capabilities. In the last part, we address monetary and non-monetary compensations for a loss that is evaluated in terms of capabilities. Accordingly, we expound how compensation policies can either restore the capabilities lost due to energy services or monetarily compensate the individual for the fact that a given capability (or set of capabilities) has been irremediably lost. (shrink)

Humans think and communicate in very flexible and schematic ways, and a Spatial Data Infrastructure (SDI) for the Amazon and associated information system ontologies should reflect this flexibility and the adaptive nature of human cognition in order to achieve semantic interoperability. In this paper I offer a conceptual investigation of SDI and explore the nature of cultural schemas as expressions of indigenous ontologies and the challenges of semantic interoperability across cultures. Cultural schemas are, in essence, our ontologies, but they (...) are markedly different than classical formal ontologies. They shape our ontological commitments to what exists in the world as well as the ways in which we approach and engage the world. And while they help structure our understanding of the world in which we are embedded, they are associative and flexible. They help to focus our attention to particular details of our experiences and give them salience, yet they cannot be simply reduced to a series of extracted features. They allow us to make meaning of the contextualized, cultural experience in which we are always immersed. An SDI is a shared social-technological-informational structure that, if it is to be useful and successful for sustainability in the Amazon, must incorporate and use indigenous cultural schemas. Indigenous communities must have the ability to contribute to the collection of geospatial data and their contributions recognized as legitimate forms of knowledge. In order for the SDI to work, it must recognize the larger cultural landscape to which cultural schemas can connect to the ready-to-hand elements of salient cultural experiences. (shrink)

The preconditions and features of the formation of post-industrial society are defined in the article. The distinctive role of active innovation infrastructure of the country in integrating into the European community and society based on knowledge are proved. The characteristic features of the economy of post-industrial society are the increasing role of intangible resources in ensuring social reproduction, “softization” and “servization” the subjects of innovation infrastructure. The essence of economic category “innovation infrastructure“ is defined in the article. (...) It is a dynamic self-regulating system of markets and subjects that entering these markets in certain economic relations and it provides the necessary conditions for implementation of the innovation processes. Mechanism of functioning of the constituent elements of innovation infrastructure in market economy is proposed, relationships between them are defined. (shrink)

Hierarchy and inequality are deeply rooted in Indian tradition. They are found in practice in the form of unequal placement of caste and class groups in the civilizing system of Indian society. The notions of dharma (normative order), karma (personnel moral commitment) and jāti (caste) that constitute the basic principles of Indian culture, making the Indian cultural tradition a unique cultural tradition, are also the principles of hierarchy and social stratification. In this paper, an attempt has been made to present (...) a comprehensive and investigative view of different scholars concerning the deep-rooted traditional characteristics of caste in Indian society. (shrink)

Quantum computing has the potential to revolutionize problem-solving across various domains, from cryptography to materials science. However, the complexities of quantum hardware, including the need for highly specialized environments and significant computational resources, have made quantum computing difficult for most organizations to access. Cloud-native quantum computing, which leverages cloud infrastructure to provide scalable, ondemand access to quantum processors, offers a transformative solution to this challenge. This paper explores the rise of cloud-native quantum computing, focusing on how cloud infrastructure (...) facilitates the deployment and execution of quantum algorithms. We examine the benefits of cloud-based quantum computing, the challenges it faces, and the role of cloud service providers in advancing quantum technologies. Additionally, we explore the synergy between quantum computing and classical computing, emphasizing hybrid quantum-classical systems. Finally, we look ahead to the future of quantum computing in the cloud, outlining emerging trends, research opportunities, and the potential impacts on industries such as finance, healthcare, and logistics. (shrink)

In the era of cloud computing, securing access to cloud instances is paramount for protecting sensitive data and ensuring compliance with industry standards. Secure Shell (SSH) access management plays a critical role in safeguarding cloud environments by controlling how users interact with cloud-based systems. However, traditional SSH access management methods can often be cumbersome, error-prone, and vulnerable to breaches. This paper explores the implementation of Privileged Access Management (PAM) solutions for enhancing the security of SSH access to cloud instances. By (...) integrating PAM systems with cloud infrastructure, organizations can enforce stricter access controls, enable detailed session auditing, and reduce the risk of unauthorized access. The paper discusses best practices for managing SSH keys, monitoring user activity, and automating access management workflows using PAM solutions, ultimately improving the security posture of cloud environments. (shrink)

At present, numerous innovations and technologies take place continuously. Serverless computing is a paradigm switch from conventional cloud computing. The term ‘serverless’ represents that the cloud developers do not interact with servers directly, whereas they use codes and logic to do so. This feature enhanced and extended the overall performance of the serverless platform. This paper presents a comparative study of both cloud environments from conventional to platform-independent or serverless computing. Apart from this, several key aspects such as definitions benefits, (...) limitations, challenges, real-world applications, and futuristic direction are discussed in a well-organized form. (shrink)

The research resulted in a comprehensive overview of the Vietnamese public infrastructure market. Primary data confirmed most of the secondary data collected while adding more supporting details, with no perceivable contradiction among data sources. Macro-economically, Vietnam emerged as a high-potential market due to the rapid economic growth, the massive infrastructure demand driven by urbanization and industrialization, and the Government’s recent efforts. However, there were market uncertainties that required careful consideration, with regulatory inefficiency and corruption being the most prominent (...) ones. Culturally, Vietnam and Finland exhibited distinct differences. The thesis concluded that Vietnam was a market of high potentiality and medium risk. The author’s recommendations for market entry included a careful approach to mitigate risks concerning regulations, and the addition of a translator when negotiating to reduce the risk of cultural misunderstanding. (shrink)

With the rapid development of information technology, the electricity consumption of Internet Data Centers (IDCs) increases drastically, resulting in considerable carbon emissions that need to be reduced urgently. In addition to the introduction of Renewable Energy Sources (RES), the joint use of the spatial migration capacity of IDC workload and the temporal flexibility of the demand of Electric Vehicle Charging Stations (EVCSs) provides an important means to change the carbon footprint of the IDC. In this paper, a sustainability improvement strategy (...) for the IDC carbon emission reduction was developed by coordinating the spatial-temporal dispatch flexibilities of the IDC workload and the EVCS demand. Based on the Minkowski sum algorithm, a generalized flexible load model of the EVCSs, considering traffic flow and Road Impedance (RI) was formulated. The case studies show that the proposed method can effectively increase the renewable energy consumption, reduce the overall carbon emissions of multi-IDCs, reduce the energy cost of the DCO, and utilize the EV dispatching potential. Discussions are also provided on the relationship between workload processing time delay and the renewable energy consumption rate. (shrink)

Blended learning is a teaching approach that combines traditional in-person instruction with digital resources to create a more adaptable and accessible educational experience. This hybrid model blends the strengths of classroom teaching with the flexibility of online tools like virtual classrooms, e-books, and digital assessments, helping to overcome many of the challenges found in conventional education. Traditional education systems often face issues such as limited access to quality resources, outdated instructional materials, and inadequate teacher support, especially in remote or underserved (...) areas. These limitations became even more apparent during the COVID-19 pandemic, which disrupted in-person learning worldwide and emphasized the need for flexible and sustainable educational methods that can adapt to changing circumstances. (shrink)

The exponential growth of data storage requirements has become a pressing challenge in hybrid cloud environments, necessitating efficient data deduplication methods. This research proposes a novel Smart Deduplication Framework (SDF) designed to identify and eliminate redundant data, thus optimizing storage usage and improving data retrieval speeds. The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine learning-based duplicate detection, the framework (...) achieves significant storage savings without compromising data integrity. Real-time testing on a hybrid cloud setup demonstrated a 65% reduction in storage needs and a 40% improvement in data retrieval times. Additionally, the system employs blockchain for immutable logging of deduplication activities, enhancing transparency and traceability. This study concludes with an evaluation of the deduplication framework's impact on cost efficiency, system performance, and potential scalability. Future enhancements aim to integrate multi-cloud interoperability and advanced compression algorithms to further refine storage management. (shrink)

Abstract** This paper illuminates the journey of discovery in understanding universal interconnectedness, examining how seemingly complex relationships between quantum and cosmic phenomena become elegantly simple once properly understood. Following Galileo's insight that truth, once discovered, reveals its inherent simplicity, we explore how the connection between universes via quantum-classical bridges might represent such a fundamental truth—one that, once grasped, transforms our understanding of consciousness, reality, and human existence. This work charts both the path of discovery and the resulting clarity it brings (...) to our comprehension of cosmic relationships. (shrink)

The article is devoted to the prospects of creation and functioning of cooperative banks and development banks in Ukraine. The article deals with the peculiarities of cooperative banks and development banks. Sci-entists analyzed the views on the activities of banks and their impact on economic development. The article deals with the peculiarities of development and operation of the cooperative banks of developed countries: Germany and Poland. A three-tier model of national cooperative bank system has been suggested. The influences of developments (...) banks operations on the national economy are defined. The main grounded differences between development banks and commercial banks are defined. The problems of creating devel-opment banks in Ukraine are analyzed. (shrink)

Port Cities are historically the places for paradigm shifts, radical changes, and socio-economic transitions. In particular, the interaction zone between the port infrastructure and urban activities creates liminal spaces at the forefront of many contemporary challenges. In these liminal spaces, the port's flows, form, and function intertwine with urban contexts and conflict with the living conditions. Conceptualizing the portcityscape and harborscape as liminal space and urban thresholds leads to (re)thinking about innovative participatory methods and technologies for building community resilience (...) in port cities. Additionally, inevitable constant development in port cities requires adaptability and resilience from the waterfronts to the hinterlands and city centers. Such confrontation of port infrastructures and urbanization is socio-politically and spatially challenging, specifically in historic port cities. Therefore, as the approach to exploiting energy and human resources changes over time, the physicality of the built environment in port cities and how we (re)use the resources need to be redefined. This research investigates key socio-spatial features and challenges of port cities by examining how the port's proximity to the city requires coordination, collaboration, transparency, and community dialogue. The introduction and background literature discuss three domains and notions of port city studies, building community resiliency through participatory frameworks, and parasitic architecture. By building upon this analytical framework, the paper presents case studies developed within the research-led design studio focusing on building resilient communities in four port cities, including Amsterdam, Constanta, Alexandria, and Rio De Janeiro. This research focus on the community-enabled application of emerging technologies, innovative approaches, and co-designing and co-building participatory methods. The selected case studies introduce an integrative and multi-scalar pedagogical framework for building resilient communities in liminal spaces of port cities. (shrink)

The increasing reliance on digital technologies within the power sector has introduced considerable cybersecurity risks, especially from malware and trojans. These threats can disrupt essential operations, manipulate grid functions, and compromise the integrity of energy systems, thereby endangering both economic stability and national security. This research aims to create a detection framework tailored to the specific challenges of the power sector. The proposed framework utilizes advanced methods such as behaviour based anomaly detection, machine learning algorithms, and both static and dynamic (...) analysis of software. By examining distinct patterns and signatures associated with malware and trojans targeting power sector software, this study seeks to enhance early detection capabilities and response strategies. Real-world case studies and simulations will be employed to evaluate the effectiveness of these detection techniques, highlighting the necessity of robust and adaptable security measures to protect critical energy infrastructure. (shrink)

This chapter outlines a framework for thinking about justice in the global digital economy. The chapter first proposes to understand the digital economy as about infrastructure, then describes some of the problems of justice raised by the global digital economy and sketches potential reforms.