The thesis that technology is applied science is called by Niiniluoto (1997) the standard view. That is surprising because the identification between technology and applied science has been widely rejected by both historians and philosophers of technology, including Rapp (1974), Bugliarello and Doner (1976), Derry and Williams (1977), Feibleman (1983), Skolimowski (1966), Vermaas et al., (2011), Don Idhe (2013). The reasons of such rejection mainly stem from the fact that technology has historically progressed without the benefit of science, (...) i.e., it has been possible to design technological devices without the explicit and systematic development of the scientific theories and laws that would explain their functioning. Polish philosopher Henryk Skolimowski has attacked this identification based on historical evidence. He argues that in the development of technology, there are many cases wherein technological designs have supported pure scientific research, rather than the other way round if technology were applied science. According to Skolimowski, some cases that dispute the identification of technology as applied science are the design of the transistor, supersonic aircraft, and the Manhattan Project. However, this historical evidence should not persuade us for two reasons: 1) Rejecting the previous scientific research that served as the basis for the said technological designs commits Skolimowski to anachronism. 2) From a realistic perspective of science, technological devices are not only subject to the principles and laws of science, regardless of the extent of our knowledge of them, but incorporate insights on more articulated explanations that while not available at the time of designing, do inspire our practical and theoretical efforts and guide further work. In this paper, we posit that the cases offered by Skolimowski to motivate his rejection of the standard view are far from being conclusive. To this end, we not only critically assess each case but also identify other historical examples that might be even more promising to support Skolimowski's thesis. Finally, we critically deal with those more promising cases and argue for a deflationary interpretation of the standard view. -/- . (shrink)

In the same spirit with the theme of last issue of this SGJ journal (“Ongoing creation”), this paper shortly reviews a plausible mechanism from Aether to become ordinary matter from the perspective of Neutrosophic Logic. We also discuss two other possible applications of Neutrosophic Logic, including a resolution of conflicting paradigms in medicine. We hope that some ideas as outlined herein will be proved useful in the near future.

Evidential Pluralism maintains that in order to establish a causal claim one normally needs to establish the existence of an appropriate conditional correlation and the existence of an appropriate mechanism complex, so when assessing a causal claim one ought to consider both association studies and mechanistic studies. Hitherto, Evidential Pluralism has been applied to medicine, leading to the EBM+ programme, which recommends that evidence-based medicine should systematically evaluate mechanistic studies alongside clinical studies. This paper argues that Evidential Pluralism can (...) also be fruitfully applied to the social sciences. In particular, Evidential Pluralism provides (i) a new approach to evidence-based policy; (ii) an account of the evidential relationships in more theoretical research; and (iii) new philosophical motivation for mixed methods research. The application of Evidential Pluralism to the social sciences is also defended against two objections. (shrink)

Social machines are a prominent focus of attention for those who work in the field of Web and Internet science. Although a number of online systems have been described as social machines, there is, as yet, little consensus as to the precise meaning of the term “social machine.” This presents a problem for the scientific study of social machines, especially when it comes to the provision of a theoretical framework that directs, informs, and explicates the scientific and engineering activities of (...) the social machine community. The present paper outlines an approach to understanding social machines that draws on recent work in the philosophy of science, especially work in so-called mechanical philosophy. This is what might be called a mechanistic view of social machines. According to this view, social machines are systems whose phenomena are explained via an appeal to socio-technical mechanisms. We show how this account is able to accommodate a number of existing attempts to define the social machine concept, thereby yielding an important opportunity for theoretical integration. (shrink)

info:eu-repo/semantics/publishedVersion.

A traditional social scientific divide concerns the centrality of the interpretation of local understandings as opposed to attending to relatively general factors in understanding human individual and group differences. We consider one of the most common social scientific variables, race, and ask how to conceive of its causal power. We suggest that any plausible attempt to model the causal effects of such constructed social roles will involve close interplay between interpretationist and more general elements. Thus, we offer a case study (...) that one cannot offer a comprehensive model of the causal power of racial categories as social constructions without careful attention both to local meanings and more general mechanisms. (shrink)

This paper is an attempt to provide an adequate theoretical framework to understand the biological basis of human rights. We argue that the skepticism about human rights is increasing especially among the most rational, innovative and productive community of intellectuals belonging to the applied sciences. By using examples of embryonic stem cell research, a clash between applied scientists and legal scientists cum human rights activists has been highlighted. After an extensive literature review, this paper concludes that the (...) advances in applied sciences proven by empirical evidence should not be restricted by normative theories and philosophies of the social sciences. If we agree on these premises that Human Rights are biological, then biology can provide a framework of cooperation for social and applied scientists. (shrink)

What can we, as a society, legitimately expect from science? And what, if anything, can science legitimately expect from society? This paper argues that the relationship between science and society is governed by a science contract. I first introduce the notion of an expertise contract—a social contract that governs the relationship between experts and non-experts, bestows on experts certain fiduciary duties towards non-experts, and enables the division of epistemic labor in society. I then argue that the science contract cannot be (...) simply identified with the expertise contract as it applies to scientific experts but requires at least two modifications in order to reflect the global nature of science and the role of scientists as researchers. I conclude with some remarks about public trust in science and a non-ideal theory of the scientific contract. (shrink)

Which epistemic skills or attributes must a journalist possess in order to produce competent science journalism? I aim to answer this question by bringing together insights from journalism, science communication, and epistemology. In §1, I outline the Epistemic Challenge for Science Journalism. In §2, I present the dominant answer in the literature, the Knowledge-Based Solution, and argue against it. In §3, I propose an alternative, the Confirmation-Based Solution. In §4, I argue that this solution can address recent concerns regarding journalistic (...) objectivity. §5 discusses my proposal in the context of epistemological debates about norms of assertion. §6 concludes. (shrink)

Applying Modern Monetary Theory to the Philippines: Achieving Economic Balance Through Natural Laws -/- Introduction -/- The Philippines faces persistent economic challenges, including slow GDP growth, high income inequality, inflationary pressures, and overpopulation. Traditional economic policies often focus on austerity, borrowing limits, and foreign investments, but these approaches fail to address the root causes of economic imbalance. -/- Modern Monetary Theory (MMT) offers an alternative by allowing the government to issue money to finance public spending without relying on foreign debt (...) or excessive taxation. However, to prevent inflation and ensure long-term stability, government spending must be directed toward productive investments. This aligns with my universal formula, which is based on the universal law of balance in nature—ensuring that all systems, including economic ones, function without defects. -/- By integrating MMT with GDP growth, GDP per capita, the Gini coefficient (income equality), population regulation, and good governance, the Philippines can achieve sustainable economic progress while maintaining balance. -/- The Role of a Good and Non-Corrupt Government in Implementing MMT -/- MMT gives governments the power to create money, making it an incredibly powerful tool—but also a dangerous one if misused. A corrupt government can misallocate funds, cause hyperinflation, and worsen inequality. Therefore, strong leadership, transparency, and accountability are essential for MMT to work. -/- Eliminating corruption ensures that newly created money is invested in productive sectors rather than being stolen or wasted. -/- Strict financial oversight and independent institutions must monitor government spending. -/- A well-structured economic plan, free from political interests, must be followed to ensure MMT benefits all Filipinos, not just the elite. -/- If MMT is implemented by a corrupt government, it will only lead to inflation, economic collapse, and further inequality. The law of karma teaches that every action has consequences—if government spending is abused, the entire economy will suffer. -/- Using MMT to Increase the Philippines’ GDP Without Inflation -/- 1. Infrastructure Development -/- The Philippines suffers from poor infrastructure, leading to high transportation and electricity costs. Government investment in roads, ports, and energy projects would improve economic efficiency, reducing production costs and increasing business competitiveness. -/- The government can print money under MMT to fund major infrastructure projects, provided the projects enhance productivity. -/- Improved infrastructure will increase GDP by facilitating trade, reducing delays, and boosting industrial growth. -/- With proper planning, this investment will not cause inflation because it adds real value to the economy. -/- However, for infrastructure spending to be effective, the government must eliminate corruption in project implementation. Ghost projects, overpricing, and political kickbacks will waste public money and increase inflation without creating real economic value. -/- 2. Investing in Renewable Energy -/- The Philippines relies heavily on imported fossil fuels, making it vulnerable to price fluctuations. A shift toward solar, wind, and geothermal energy would: -/- Reduce long-term electricity costs, helping businesses expand without raising prices. -/- Make the country energy independent, lowering the need for foreign currency reserves. -/- Increase GDP by creating green energy jobs and technological innovations. -/- A good government will prioritize long-term energy security over short-term political interests. Corrupt officials, however, may block renewable energy projects in favor of profit-driven deals with fossil fuel industries, preventing the country from achieving energy independence. -/- 3. Expanding Manufacturing and Industrialization -/- The Philippine economy is heavily dependent on services (such as BPOs) and overseas remittances. To create long-term stability, the country must expand its manufacturing sector. -/- Government spending should prioritize local industries, such as electronics, semiconductors, and agribusiness processing. -/- Subsidies and incentives should be given to businesses that create jobs and produce high-value goods. -/- Export-oriented manufacturing would increase GDP while keeping money circulation within productive sectors, preventing inflation. -/- A corrupt government, however, may award subsidies and contracts based on political favors rather than economic merit, leading to inefficiency and wasted resources. A good and competent government will ensure that industrial policies are based on merit, efficiency, and long-term economic benefits. -/- 4. Research, Innovation, and Digital Transformation -/- Government investment in science, technology, and artificial intelligence (AI) would drive sustainable economic growth. -/- A national AI and automation strategy can improve industries such as agriculture, logistics, and healthcare, leading to higher GDP. -/- Government-funded research and technology parks can support Filipino startups and entrepreneurs. -/- This will help the country move from a consumer-driven economy to a technology and knowledge-based economy, increasing long-term wealth. -/- Without strong governance and anti-corruption measures, however, research funding may be misused, misallocated, or given to unqualified individuals. The universal law of balance requires that public resources be managed efficiently and fairly to maximize their benefits. -/- GDP Per Capita: Ensuring Growth Benefits Every Filipino -/- While GDP growth is important, it must translate to real improvements in people’s lives. A high GDP with a rapidly growing population leads to a lower GDP per capita, keeping the majority poor. -/- Government policies must regulate population growth through education and family planning. -/- Higher GDP per capita ensures that public investments in healthcare, education, and housing can meet the needs of citizens. -/- A well-balanced population ensures that economic growth does not lead to overconsumption of resources. -/- The Gini Coefficient: Reducing Income Inequality in the Philippines -/- The Philippines has one of the highest income inequality rates in Southeast Asia. The Gini coefficient reveals that wealth is concentrated in the hands of a few, while many struggle to survive. -/- MMT can be used to: -/- Fund free quality education and vocational training, allowing Filipinos to get better-paying jobs. -/- Provide universal healthcare, ensuring that people are not trapped in poverty due to medical expenses. -/- Invest in affordable housing and social safety nets for vulnerable populations. -/- Without addressing inequality, economic growth will only benefit the elite, leading to social unrest and instability. However, corrupt leaders often resist wealth redistribution because they benefit from maintaining economic inequality. A non-corrupt government is necessary to ensure fair wealth distribution. -/- Ensuring MMT Aligns with the Universal Law of Balance -/- The Philippines must apply MMT carefully to prevent economic imbalance. Simply printing money without strategic allocation will lead to inflation and instability. -/- Strict anti-corruption policies must be enforced to ensure MMT is used only for productive investments. -/- Public funds should be managed transparently, with regular audits and independent oversight. -/- Government leaders must be held accountable for economic decisions, ensuring they act in the best interest of all Filipinos. -/- A corrupt and incompetent government will lead to economic collapse under MMT, while a good, disciplined, and visionary government can use it to create lasting prosperity and stability. -/- Conclusion -/- Modern Monetary Theory, when properly applied, aligns with the universal law of balance in nature by ensuring that economic systems function without defects. The Philippines can use MMT to: -/- Increase GDP by investing in infrastructure, renewable energy, and industrialization. -/- Ensure GDP per capita growth by regulating population and creating sustainable jobs. -/- Reduce income inequality through education, healthcare, and wealth redistribution. -/- Maintain economic balance by applying feedback mechanisms such as taxation, productivity growth, and responsible government spending. -/- However, MMT requires a government that is competent, transparent, and corruption-free. Without ethical leadership, MMT will be abused and lead to inflation, economic collapse, and inequality. The law of balance demands that all systems—including governance—function properly to achieve economic stability. -/- By ensuring good governance, economic discipline, and strategic spending, the Philippines can use MMT to build a just, prosperous, and balanced society. -/- . (shrink)

This paper analyses the relations between philosophy of information (PI), library and information science (LIS) and social epistemology (SE). In the first section, it is argued that there is a natural relation between philosophy and LIS but that SE cannot provide a satisfactory foundation for LIS. SE should rather be seen as sharing with LIS a common ground, represented by the study of information, to be investigated by a new discipline, PI. In the second section, the nature of PI is (...) outlined as the philosophical area that studies the conceptual nature of information, its dynamics and problems. In the third section, LIS is defined as a form of applied PI. The hypothesis supported is that PI should replace SE as the philosophical discipline that can best provide the conceptual foundation for LIS. In the conclusion, it is suggested that the 'identity' crisis undergone by LIS has been the natural outcome of a justified but precocious search for a philosophical counterpart that has emerged only recently: namely, PI. The development of LIS should not rely on some borrowed, pre-packaged theory. As applied PI, LIS can fruitfully contribute to the growth of basic theoretical research in PI itself and thus provide its own foundation. (shrink)

-/- The Science Behind Excessive Irrational Behavior: A Cognitive, Social, and Natural Law Perspective -/- Irrational behavior is a fundamental aspect of human interaction, serving as a response to perceived threats, misunderstandings, or emotional distress. However, when irrational behavior becomes excessive, unbalanced, or emotionally driven, it can indicate inefficiencies in cognitive processing, mental health issues, and misunderstandings arising from proximity of individual perception and the no-input perception of others. This essay explores the scientific basis of excessive irrational behavior through neuroscience, (...) psychology, evolutionary biology, and the principles of dynamic social interaction, while also examining its relation to the universal law of balance in nature. -/- The Cognitive Science of Irrational Behavior -/- From a neurological perspective, excessive irrational behavior can result from cognitive biases, emotional dysregulation, and inefficient brain processing. The prefrontal cortex, responsible for rational thinking and impulse control, plays a crucial role in judgment. If it functions inefficiently, a person may engage in rash or erratic behavior without fully analyzing the situation. Similarly, an overactive amygdala, which processes emotions like fear and anger, can make individuals more reactive and prone to negative responses. -/- Cognitive biases also shape how people engage in irrational behavior. Negativity bias makes the brain focus more on flaws and mistakes, while the fundamental attribution error leads people to blame others’ failures on personality traits rather than external circumstances. The Dunning-Kruger effect further explains how individuals with limited knowledge may overestimate their understanding, making them more prone to irrational responses while unaware of their own shortcomings. -/- Dynamic Social Interaction, Irrational Behavior, and Mental Health -/- Human interactions are governed by dynamic social interaction principles, which emphasize that all social behavior involves continuous feedback loops, adaptation, and reciprocal influence. However, irrational behavior, mental health disorders, and distortions in perception can disrupt these processes, leading to dysfunctional social interactions and social imbalance in the following ways: -/- 1. Feedback Mechanisms and Cognitive Distortions – In a healthy social system, irrational behavior can be corrected through feedback loops. However, mental health disorders such as anxiety, depression, and personality disorders can distort perception, leading individuals to engage in excessive or unbalanced irrational behavior. -/- 2. Reciprocity and Social Imbalance – Rational social interactions require a balance between rational responses and emotional regulation. However, conditions like narcissistic personality disorder (NPD) or borderline personality disorder (BPD) can create patterns of excessive emotional reactivity, hypersensitivity to perceived slights, and instability, disrupting healthy reciprocity. -/- 3. Homeostasis in Social Groups and Emotional Dysregulation – Just as biological systems maintain balance, social groups function best when there is emotional regulation and rational decision-making. Individuals suffering from bipolar disorder, schizophrenia, or severe mood disorders may engage in irrational behavior, causing instability in group dynamics. -/- 4. Emergent Behavior and Influence of Mental Health Issues – Social groups evolve based on collective interactions. If individuals with irrational thought patterns dominate discussions, they can influence others through groupthink, paranoia, or mob behavior, leading to misguided responses and social dysfunction. -/- 5. Emotional Contagion and the Spread of Irrational Behavior – Irrational behavior, like other emotions, spreads through social contagion. If negativity becomes dominant in a group due to irrational behaviors or mental health struggles, it can lower morale, increase hostility, and reduce cooperation, leading to chronic stress and conflict in relationships. -/- The Effect of Proximity of Individual Perception and No-Input Perception -/- Proximity of individual perception refers to how close or far an individual is to an issue, shaping the way they perceive reality. People who experience a problem firsthand tend to see more details, nuances, and complexity, while those who are distant from the issue may form oversimplified, biased, or incorrect judgments. -/- On the other hand, no-input perception occurs when individuals lack direct experience, knowledge, or sensory input about a situation, yet they still form strong opinions and engage in irrational behavior based on assumptions, external influences, or personal biases. This phenomenon is particularly dangerous in social decision-making because: -/- 1. False Confidence in Judgment – When individuals rely on second-hand information rather than direct experience, they may feel certain about their views despite lacking critical knowledge. This leads to misguided behavior and the spread of false narratives. -/- 2. Oversimplification and Cognitive Errors – People distant from an issue tend to reduce complex realities into black-and-white thinking. This prevents them from seeing the underlying causes of human behavior, leading to unfair or exaggerated judgments. -/- 3. Social Fragmentation and Conflict – When different individuals or groups have varying levels of proximity to an issue, their perceptions may clash, causing misunderstandings, polarization, and difficulty in reaching consensus. -/- 4. Echo Chambers and Groupthink – No-input perception can thrive in echo chambers, where individuals hear only information that reinforces their existing beliefs. This leads to blind behavior, where people react impulsively based on false or incomplete information. -/- 5. Distorted Leadership and Decision-Making – Leaders who make decisions without firsthand experience or diverse input may rely on no-input perception, leading to ineffective policies and misplaced blame on individuals rather than systemic problems. -/- The Interplay between proximity of perception and no-input perception further amplifies irrational behavior, creating cycles of misguided responses and resistance to correction. -/- The Universal Law of Balance in Nature and Rational Social Behavior -/- According to the universal law of balance in nature, all decision-making—whether individual or collective—should maintain equilibrium. Irrational behavior, when properly understood, should function as a natural feedback mechanism that corrects errors and enhances overall balance. However, if behavior is driven by ignorance, false beliefs, emotional bias, mental health issues, or distorted perceptions, it disrupts balance and creates unnecessary conflict. -/- To align behavior with natural balance, individuals must develop self-awareness, emotional intelligence, and holistic thinking. Instead of reacting impulsively, they should analyze situations objectively and ensure their responses contribute to constructive improvement rather than unnecessary negativity. -/- Conclusion -/- Excessive irrational behavior can often be traced to cognitive inefficiencies, evolutionary conditioning, ignorance of natural laws, mental health issues, and distortions caused by perception proximity and no-input perception. While the ability to respond to situations is essential for growth and problem-solving, it must be applied with rationality, fairness, and a holistic understanding of human nature. -/- By recognizing the interconnected nature of decision-making, mental health influences, dynamic social interaction principles, and the effects of perception distortions, individuals can transform destructive irrational behavior into a tool for progress, harmony, and collective well-being. -/- Integrating mental health awareness, perception analysis, and rational feedback mechanisms into education and social systems will help societies maintain balance, cooperation, and sustainable decision-making, preventing the harmful effects of misguided behavior and irrational social conflict. -/- . (shrink)

The Science of Balanced Leadership and Competition: The Role of AI Technology as a Guide -/- Introduction -/- Leadership and competition are two fundamental forces that shape human societies, economies, and institutions. However, their effectiveness depends on how they are managed. When leadership is imbalanced, it leads to corruption, authoritarianism, or inefficiency. When competition is unregulated, it creates inequality, exploitation, and instability. The science of balanced leadership and competition is an approach that integrates principles of natural balance, ethical decision-making, and (...) systemic thinking to ensure sustainable and just progress. -/- In the modern era, artificial intelligence (AI) technology serves as a powerful tool to assist leaders in maintaining this balance. AI can analyze vast amounts of data, predict potential crises, and offer insights for decision-making. Properly programmed AI can help guide leaders toward fair and ethical governance while also ensuring competition remains beneficial rather than destructive. -/- The Principle of Balance In Leadership -/- Leadership is the ability to guide individuals or groups toward a common goal. However, effective leadership is not just about authority; it requires a balance between control and flexibility, vision and adaptability, power and responsibility. -/- 1. The Balance Between Authority and Participation – Leaders must maintain authority to make decisive actions but also encourage participation from team members. Excessive authoritarianism suppresses innovation, while excessive democracy leads to indecisiveness. A balanced leader allows structured decision-making while considering input from others. -/- 2. The Balance Between Short-Term and Long-Term Goals – Effective leaders understand that immediate success must not come at the cost of future stability. Governments that prioritize economic growth without environmental responsibility, for example, create long-term disasters. Sustainable leadership requires long-term planning while addressing short-term needs. AI technology can analyze patterns, predict long-term consequences, and assist leaders in making informed, future-proof decisions. -/- 3. The Balance Between Competence and Morality – A leader may be highly competent but unethical, leading to corruption and exploitation. Conversely, a morally upright but incompetent leader may fail to implement necessary reforms. Balanced leadership integrates technical skill with ethical responsibility. AI systems programmed with ethical guidelines can act as an advisory tool, identifying potential ethical violations in leadership decisions and ensuring a fair and just system. -/- The Role of Competition in Progress -/- Competition is essential for innovation, economic growth, and personal development. However, uncontrolled competition leads to monopolies, exploitation, and social inequality. A balanced approach ensures that competition serves collective progress rather than individual greed. -/- 1. Healthy Competition vs. Destructive Competition – In a balanced system, competition drives excellence without harming others. In contrast, destructive competition creates a “win-at-all-costs” mentality, where ethics and fairness are disregarded. Examples include corporate monopolies suppressing small businesses or political parties prioritizing power over national interest. AI-driven monitoring systems can help detect unethical business practices and ensure fair competition in markets. -/- 2. Regulated Competition for Collective Growth – Governments and institutions must regulate competition to ensure fairness. This includes antitrust laws to prevent monopolies, ethical guidelines in business, and fair labor policies to protect workers from exploitation. AI can assist regulators in monitoring economic trends, detecting monopolistic behavior, and ensuring fair market conditions. -/- 3. Coopetition: A Balance Between Cooperation and Competition – In many industries, companies compete for market dominance while also collaborating in research, standardization, or sustainability efforts. This concept, known as “coopetition,” allows for economic growth while maintaining ethical responsibilities. AI can optimize cooperation strategies, ensuring that businesses maximize benefits while maintaining fair competition. -/- The Role of AI in Maintaining Balance -/- AI technology plays a crucial role in guiding leaders and institutions toward balanced decision-making. It can be used in the following ways: -/- 1. AI for Predictive Analysis – AI can process large-scale data to predict social, economic, and environmental trends, helping leaders make proactive decisions rather than reactive ones. -/- 2. AI for Ethical Governance – AI can be programmed with ethical principles to provide real-time insights on the consequences of political, corporate, or social policies. This ensures that decision-making aligns with fairness, justice, and sustainability. -/- 3. AI for Market Regulation – AI-driven economic models can detect unfair competition, price manipulation, and unethical corporate behavior, allowing governments to take corrective actions swiftly. -/- 4. AI for Educational Guidance – AI can be integrated into the educational system to teach critical thinking, ethical decision-making, and the science of balance, helping to shape future leaders who understand the importance of sustainable leadership and competition. -/- Applying the Science of Balance in Society -/- The science of balanced leadership and competition applies across various domains, from government and business to education and personal development. AI technology enhances this process by providing data-driven insights and ethical guidance. -/- 1. In Governance – Leaders must ensure that laws and policies balance economic growth with social welfare, individual rights with national security, and environmental sustainability with industrial development. AI can help design policies that optimize these balances through advanced simulations and scenario modeling. -/- 2. In Business – Corporate leaders should foster healthy competition while ensuring fair wages, ethical production, and sustainable business practices. AI can be used to analyze global trends, predict economic shifts, and optimize business strategies that benefit both corporations and society. -/- 3. In Education – Schools should encourage competition to inspire excellence while fostering teamwork, ethical responsibility, and critical thinking. AI-driven personalized learning can help students develop both competitive and cooperative skills based on their strengths and weaknesses. -/- 4. In Personal Development – Individuals must balance ambition with ethics, career success with personal well-being, and competition with collaboration in their daily lives. AI-powered personal development tools can provide guidance, helping individuals make balanced life decisions. -/- Conclusion -/- The science of balanced leadership and competition is essential for building a just and sustainable society. It requires an understanding of natural balance, ethical decision-making, and systemic thinking. AI technology plays a critical role in achieving this balance by providing data-driven insights, predicting long-term consequences, and ensuring ethical decision-making. -/- When leadership is balanced, it fosters progress without oppression. When competition is balanced, it drives innovation without exploitation. With AI as a guiding tool, societies can move toward a future where decision-making is not only efficient but also ethical and sustainable. By integrating AI with principles of natural balance, we can ensure a world that is fair, progressive, and in harmony with the universal laws of nature. -/- . (shrink)

In a world that is overflowing with journals and other outlets for scientific publication, the appearance of any new periodical requires some justification. There are already more journals than we can read and more conferences than we can attend. In the case of applied Ontology, we believe that the creation of anew journal not only is completely justifiable, it is downright exciting. For too long, workers in computer science have assumed that content comes for free. “Theory” in computer science (...) has always meant the theory of processes and of computation. We measure the complexity of computer programs in terms of how long it takes machines to execute them, not in terms of how long it takes people to understand and to represent the data on which those programs might operate. We typically describe computer code in terms of algorithms that operate on formal parameters, often without pausing to discuss where the data that might satisfy those parameters come from. This journal was founded on the premise that workers in computer science, informatics, and information science are overdue in paying as much attention to contents as they do to algorithms. (shrink)

For Van Rensselaer Potter (1911–2001), Global Bio-Ethics is about building on the legacy of Aldo Leopold (1887–1948), one of the most notable forest managers of the twentieth century who brought to light the importance of pragmatism in the sciences and showed us a new way to proceed with environmental ethics. Following Richard Huxtable and Jonathan Ives's methodological 'Framework for Empirical Bioethics Research Projects' called 'Mapping, framing, shaping,' published in BMC Medicine Ethics (2019)), we propose operationalizing a framework for Global (...) Bio-Ethics by hybridizing approaches in empirical bioethics and ecosystem management. We explain this framework using the metaphor of forest management. This mixed approach is articulated through three phases: (1) mapping the “landscape” to build a working theory, (2) framing the “scene” to prepare the fieldwork, and (3) shaping bioethics “tools” to stimulate cooperation. Applying this methodology, an adaptive management cycle is outlined to help ensure that political processes are sustainable and socially acceptable, still based on strategic and ethical thinking, but also capable of reshaping failing policies. (shrink)

This paper aims to analyze the relationship between applied social sciences and practical wisdom. Utilizing conceptual analysis methodology, it begins by defining application, action, and practice, then delves into the conceptual analysis of applied social sciences and practical wisdom. The concept of phronesis in Aristotle's philosophy and practical wisdom in Muslim philosophers are studied and analyzed. By examining different definitions of practical wisdom among Muslim scholars and comparing their views with those of Aristotle, the paper evaluates (...) their perspectives. Subsequently, it focuses on exploring the relationship between applied social sciences and practical wisdom, analyzing their points of divergence and convergence. Considering the inherent nature of applied social sciences as technological and practical, contrasted with the virtue-based nature of practical wisdom, the paper raises the question of whether phronesis can logically benefit from pure applied social sciences as theoretical wisdom to guide individuals towards virtuous action. It also questions whether this scenario could be considered a form of applied social sciences. (shrink)

In this paper, I develop a "safety result" for applied mathematics. I show that whenever a theory in natural science entails some non-mathematical conclusion via an application of mathematics, there is a counterpart theory that carries no commitment to mathematical objects, entails the same conclusion, and the claims of which are true if the claims of the original theory are "correct": roughly, true given the assumption that mathematical objects exist. The framework used for proving the safety result has some (...) advantages over existing nominalistic accounts of applied mathematics. It also provides a nominalistic account of pure mathematics. (shrink)

The claim is made in the book, Applied Ethics, published under the auspices of the Australian Association for Professional and Applied Ethics (AAPAE), that it can strengthen ethical behaviour. That claim, embodied in the subtitle, is based on more than a half dozen practices set out in the book. In total, they are drawn from an examination of ethical practices across fourteen different disciplines. The purpose of this paper is to outline and support that claim, drawing primarily on (...) chapters of the book, but also drawing on a small amount of additional information. The research on the ethical issues in each of these disciplines, and the writing of the chapters, were undertaken by members and associates of AAPAE. The fourteen disciplines were Marketing, Business, Accounting, Pharmacy, Nursing, Medicine, Veterinary & Animal Ethics, Engineering, Information and Communications Technology (ICT), Journalism, Policing, Politics, the Law and the Sciences. The findings have significance for the teaching of ethics by moral philosophers, for not all ethics classes follow the practices suggested by these findings. A few of the practices are even rejected by some moral philosophers. That the practices will improve ethical behaviour is the principal position taken by this paper. -/- . (shrink)

Academia is a competitive environment. Early Career Researchers (ECRs) are limited in experience and resources and especially need achievements to secure and expand their careers. To help with these issues, this book offers a new approach for conducting research using the combination of mindsponge innovative thinking and Bayesian analytics. This is not just another analytics book. 1. A new perspective on psychological processes: Mindsponge is a novel approach for examining the human mind’s information processing mechanism. This conceptual framework is used (...) to construct models in studies. The framework is highly flexible and widely applicable for many different types of information processes. The mindsponge approach can help researchers discover interesting ideas or even formulate their very own theories when investigating psychosocial phenomena. This approach brings a fresh wind to the current landscape of social sciences and humanities (SSH). 2. Easy-to-follow analysis protocol: The Bayesian Mindsponge Framework (BMF analytics) is useful in terms of computing and visualizing power but also easy to learn and apply. Contrary to being intimidating, the Bayesian analytics section of this book is presented in a reader-friendly manner with a detailed yet clear step-by-step procedure. Examples are from published BMF articles, allowing readers to immediately practice the method and quickly create their own applications. With educational purposes in mind, the book is very suitable for ECRs who are looking to innovate their research methods. 3. Advocating for low-cost, high-quality research: Doing science can be very costly. Mindsponge innovative thinking and BMF analytics help produce impactful studies using openly available data on online repositories. This is based on the authors’ previous works and experiences. The book presents examples of employing the open R package bayesvl on secondary data from different sources. With less financial constraints, researchers can have more freedom of thought to pursue their curiosity and creativity. ECRs in low- and middle-income countries may find this aspect crucial in their careers. 4. Support and collaboration: The authors share their insights from experiences in the academic publishing system to help readers get through the processes of manuscript writing and peer-reviewing more easily. The authors are also ready to support other researchers with further inquiries and collaboration opportunities at the following website, mindsponge(dot)info. This book is for: a) ECRs whose only abundant resources are their innovation capacity and strength of will; b) Researchers in SSH who want to explore a novel approach to thinking and study conducting; c) Low- and middle-income countries’ researchers looking for a cost-effective research protocol; and, d) Innovative thinkers who want to turn their interesting thoughts into good publications. (shrink)

A World Without Poverty: Applying the Universal Law of Balance in Nature -/- Introduction -/- Poverty is not a natural condition but a direct result of wrong decision-making that has ignored the universal law of balance in nature. Despite technological advancements and abundant resources, billions of people suffer from hunger, lack of healthcare, unemployment, and poor living conditions. The root cause of this suffering lies in imbalances in wealth, resources, population, environment, education, governance, and labor, all of which stem from (...) decisions based on false information, greed, and short-term thinking. -/- Moreover, the consequences of wrong decision-making extend beyond poverty. Imbalances create conflicts, social unrest, and major wars as societies compete over limited resources, power, and wealth. If humanity had applied the universal law of balance from the beginning, the world could have prevented not only poverty but also many historical conflicts and wars. This essay explores how wrong decision-making violates natural balance, leading to poverty, conflict, and war—and how applying the universal law of balance could have created a more peaceful and prosperous world. -/- The Role of Correct Information in Decision-Making -/- One of the biggest reasons poverty, conflict, and war exist is because societies have made decisions based on false, incomplete, or manipulated information. When leaders and institutions ignore truth, science, and rational thinking, they create imbalances that harm societies. Some key consequences of wrong information in decision-making include: -/- 1. Economic policies that favor the elite, creating wealth gaps that lead to revolution and unrest. -/- 2. Overexploitation of natural resources, leading to food shortages, climate change, and displacement of communities. -/- 3. Corrupt political decisions, resulting in dictatorship, oppression, and rebellion. -/- 4. Religious and ideological extremism, causing violent conflicts based on misinformation. -/- 5. Militarization and unnecessary wars, driven by propaganda rather than rational diplomacy. -/- If humanity had prioritized correct knowledge, scientific reasoning, and ethical decision-making, many of history’s greatest conflicts—along with the poverty they created—could have been avoided. -/- How Wrong Decisions Create Imbalances That Lead to Poverty, Conflict, and War -/- Poverty, conflict, and war did not occur naturally—they are direct results of wrong decisions that ignored balance. These decisions created major global imbalances, leading to inequality, suffering, and destruction. -/- 1. Economic Imbalance: Extreme Wealth Concentration Leads to Revolutions -/- Wrong Decision: Allowing unregulated capitalism and corrupt governments to concentrate wealth in the hands of a few. -/- Effect: Economic inequality fuels resentment, leading to violent revolutions and class wars. -/- Example: The French Revolution (1789) was caused by extreme wealth inequality. The monarchy and aristocracy controlled all resources, while the poor struggled to survive. This led to mass uprisings, executions, and civil war. -/- 2. Resource Imbalance: Overexploitation Leads to Resource Wars -/- Wrong Decision: Overexploiting natural resources instead of managing them sustainably. -/- Effect: Countries fight over limited resources, leading to wars, invasions, and territorial disputes. -/- Example: The Iraq War (2003) was largely influenced by oil interests. Instead of investing in renewable energy, global powers fought for control of Iraq’s oil reserves, leading to destruction and economic collapse. -/- 3. Population Imbalance: Overpopulation Causes Social Unrest -/- Wrong Decision: Ignoring the relationship between population growth and available resources, leading to overcrowded cities and slums. -/- Effect: High unemployment, poverty, and crime increase, leading to violent uprisings. -/- Example: The Arab Spring (2010-2012) began as protests over unemployment and poverty in overpopulated countries like Tunisia, Egypt, and Syria. It led to government collapses, civil wars, and massive refugee crises. -/- 4. Environmental Imbalance: Climate Change Causes Wars Over Survival -/- Wrong Decision: Destroying forests, polluting water sources, and overfishing for short-term economic gain. -/- Effect: Droughts, food shortages, and mass migrations force nations into conflicts over survival. -/- Example: The Syrian Civil War (2011-present) was worsened by a climate-induced drought that forced rural populations into cities, increasing tensions and contributing to violent conflict. -/- 5. Educational Imbalance: Ignorance and Misinformation Fuel War and Extremism -/- Wrong Decision: Underfunding education and spreading propaganda instead of critical thinking. -/- Effect: People are easily manipulated into war and violence based on false ideologies. -/- Example: Nazi Germany used false racial theories and propaganda to justify war and genocide, leading to World War II (1939-1945). Had people been educated in critical thinking and ethics, they might have resisted such dangerous ideologies. -/- 6. Political Imbalance: Corrupt Leadership Leads to War and Oppression -/- Wrong Decision: Leaders prioritizing power and greed over human welfare. -/- Effect: Dictatorships, oppression, and civil wars. -/- Example: World War I (1914-1918) was caused by political greed and imperialist ambitions, leading to millions of deaths and widespread poverty. -/- 7. Labor Imbalance: Worker Exploitation Leads to Revolutions and Strikes -/- Wrong Decision: Allowing corporations to exploit workers while keeping profits concentrated at the top. -/- Effect: Poor working conditions lead to strikes, protests, and violent uprisings. -/- Example: The Russian Revolution (1917) was triggered by poor working conditions, low wages, and food shortages, leading to the collapse of the Russian monarchy and the rise of the Soviet Union. -/- How the Universal Law of Balance Could Have Prevented Poverty, Conflict, and War -/- If the universal law of balance in nature had been applied, humanity would have: -/- 1. Used Correct Information to Make Rational Decisions -/- Governments would have made policies based on science, fairness, and sustainability, not propaganda. -/- Example: Nordic countries (Denmark, Norway) use fact-based governance, leading to economic stability and low poverty rates. -/- 2. Balanced Economic Systems -/- Wealth would have been distributed fairly instead of accumulating in the hands of a few. -/- Example: Switzerland has balanced capitalism with social protections, avoiding economic collapses and revolutions. -/- 3. Managed Resources Sustainably -/- Instead of overexploitation, societies would have invested in renewable energy and conservation. -/- Example: Costa Rica has preserved forests and developed eco-tourism, avoiding conflicts over resource scarcity. -/- 4. Controlled Population Growth to Match Resources -/- Governments would have balanced population growth through education and healthcare policies. -/- Example: Thailand used education and healthcare investment to stabilize its population and economy. -/- 5. Provided Universal Access to Education -/- People would have been educated on critical thinking, ethics, and sustainability. -/- Example: Finland offers free education, ensuring that people are informed and less vulnerable to war propaganda. -/- 6. Established Just and Accountable Governments -/- Leaders would have been scientifically trained in governance, ethics, and sustainability, preventing corruption. -/- Example: Switzerland’s decentralized system ensures fair leadership and stability. -/- 7. Ensured Fair Labor Practices -/- Workers would have received fair wages and benefits, preventing revolutions and mass strikes. -/- Example: Germany’s labor laws ensure that workers are well-paid, reducing poverty and social unrest. -/- Conclusion -/- Poverty, conflict, and war are not natural—they are consequences of wrong decisions based on false information, greed, and short-term thinking. Had humanity followed the universal law of balance in nature, we would have created a world with economic fairness, sustainable societies, and peace. By ensuring correct knowledge in decision-making, fair wealth distribution, environmental conservation, and ethical leadership, poverty and war could have been prevented. The future still depends on whether we choose to restore balance—or repeat the mistakes of the past. -/- . (shrink)

In this work we argue that there is no strong demarcation between pure and applied mathematics. We show this first by stressing non-deductive components within pure mathematics, like axiomatization and theory-building in general. We also stress the “purer” components of applied mathematics, like the theory of the models that are concerned with practical purposes. We further show that some mathematical theories can be viewed through either a pure or applied lens. These different lenses are tied to different (...) communities, which endorse different evaluative standards for theories. We evaluate the distinction between pure and applied mathematics from a late Wittgensteinian perspective. We note that the classical exegesis of the later Wittgenstein’s philosophy of mathematics, due to Maddy, leads to a clear-cut but misguided demarcation. We then turn our attention to a more niche interpretation of Wittgenstein by Dawson, which captures aspects of the aforementioned distinction more accurately. Building on this newer, maverick interpretation of the later Wittgenstein’s philosophy of mathematics, and endorsing an extended notion of meaning as use which includes social, mundane uses, we elaborate a fuzzy, but more realistic, demarcation. This demarcation, relying on family resemblance, is based on how direct and intended technical applications are, the kind of evaluative standards featured, and the range of rhetorical purposes at stake. (shrink)

‘There is no place in the phenomenology of fully absorbed coping’, writes Hubert Dreyfus, ‘for mindfulness. In flow, as Sartre sees, there are only attractive and repulsive forces drawing appropriate activity out of an active body’1. Among the many ways in which history animates dynamical systems at a range of distinctive timescales, the phenomena of embodied human habit, skilful movement, and absorbed coping are among the most pervasive and mundane, and the most philosophically puzzling. In this essay we examine both (...) habitual and skilled movement, sketching the outlines of a multidimensional framework within which the many differences across distinctive cases and domains might be fruitfully understood. Both the range of movement phenomena which can plausibly be seen as instances of habit or skill, and the space of possible theories of such phenomena are richer and more disparate than philosophy easily encompasses. We seek to bring phenomenology into contact with relevant movements in psychological theories of skilful action, in the belief that phenomenological philosophy and cognitive science can be allies rather than antagonists. (shrink)

Library information science (LIS) should develop its foundation in terms of a philosophy of information (PI). This seems a rather harmless suggestion. In Floridi (2002a), I have articulated some of the reasons why I believe that PI can fulfill the foundationalist needs better than SE can. In this contribution, I clarify some aspects of my proposal (Floridi, 2002a) in favor of the interpretation of LIS as applied PI. The aim of the article is to remove some ambiguities and possible (...) misunderstandings that might prevent the correct evaluation of my position, so that disagreement can become more constructive. (shrink)

Modern scientific communication traditionally uses visual narratives, such as comics, for education, presentation of scientific achievements to a mass audience, and as an object of research. The article offers a three-level characterization of the interaction of comic culture and science in a diachronic aspect. Attention is focused not only on the chronological stages of these intersections, the expression of the specifics of the interaction is offered against the background of scientific and public discussions that accompany the comics–science dialogue to this (...) day. Within the framework of the first stage (the appearance and distribution of popular science and educational comics), the characteristics of comics content necessary for the different genesis are highlighted: documentary storytelling, educational practices of learning through drawing, active cooperation with well-known companies and institutions, informativeness and empathic involvement of the young reader in a heroico-romantic narrative of scientific discoveries and mastering nature. With the intensification of interdisciplinary approaches (the second stage), comics are increasingly involved in presenting scientific results within the most diverse fields. Comics-based research is becoming an interdisciplinary method and a widespread practical area with the corresponding formation of scientific tools (applied comics, data comics), forms of interdisciplinary interaction (graphic medicine, ethnography, narrative geography, urban comics, comics journalism, etc.), and scientific publications (“The Comics Grid: Journal of Comics Scholarship”, “Sequentials”). The national format of comics-based research is presented on the example of Ukrainian comics projects (historical, feminist comics). In the genesis of development, Comics Studies have gone from a field of research to disciplinary definitions. In the creation of the metadiscourse of the scientific direction (the third stage), the authors focused on scientific discussions, the formation of academic directions and approaches, and markers of disciplinary self-identification. Emphasis is placed on the unique phenomenon of the simultaneous concordance of various stages of the dialogue between comics and science, on the prolonged replication of successful inventions into modern experience, and the active testing of known narratives at new levels of a scientific presentation. (shrink)

The attempt to construct an applied science of social change raises certain concerns, both theoretical and ethical. The theoretical concerns relate to the feasibility of predicting human behavior with sufficient reliability to ground a science that aspires to the management of social processes. The ethical concerns relate to the moral hazards involved in the modification of human social arrangements, given the unreliability of predicting human action.

Regardless of whether one agrees or disagrees with Stacie Friend’s claim that fiction is a genre, her notion of genre can be fruitfully applied to a paradigmatic genre such as science fiction. This article deploys Friend’s notion of genre in order to improve the influential characterization of science fiction proposed by Darko Suvin and to defend it from a criticism recently raised by Simon Evnine. According to Suvin, a work of science fiction must concern “a fictional ‘novum’ validated by (...) cognitive logic.” While Suvin conceives of his characterization as a necessary and sufficient condition for membership in the genre, I propose to cast the notions of “fictional novum” and “cognitive validation” as standard features of the genre, which works of science fiction should have but might lack. I argue that this amended version of Suvin’s characterization can better account for two basic properties of science fiction as a genre, namely its historicity and its relevance to appreciation. Lastly, I show that the amended version can shed some light on the affinity between works of science fiction and philosophical thought experiments. (shrink)

Most scientists would hold that science has not established that the cosmos is physically comprehensible – i.e. such that there is some as-yet undiscovered true physical theory of everything that is unified. This is an empirically untestable, or metaphysical thesis. It thus lies beyond the scope of science. Only when physics has formulated a testable unified theory of everything which has been amply corroborated empirically will science be in a position to declare that it has established that the cosmos is (...) physically comprehensible. But this argument presupposes a widely accepted but untenable conception of science which I shall call standard empiricism. According to standard empiricism, in science theories are accepted solely on the basis of evidence. Choice of theory may be influenced for a time by considerations of simplicity, unity, or explanatory capacity, but not in such a way that the universe itself is permanently assumed to be simple, unified or physically comprehensible. In science, no thesis about the universe can be accepted permanently as a part of scientific knowledge independently of evidence. Granted this view, it is clear that science cannot have established that the universe is physically comprehensible. Standard empiricism is, however, as I have indicated, untenable. Any fundamental physical theory, in order to be accepted as a part of theoretical scientific knowledge, must satisfy two criteria. It must be (1) sufficiently empirically successful, and (2) sufficiently unified. Given any accepted theory of physics, endlessly many empirically more successful disunified rivals can always be concocted – disunified because they assert that different dynamical laws govern the diverse phenomena to which the theory applies. These disunified rivals are not considered for a moment in physics, despite their greater empirical success. This persistent rejection of empirically more successful but disunified rival theories means, I argue, that a big, highly problematic, implicit assumption is made by science about the cosmos, to the effect, at least, that the cosmos is such that all seriously disunified theories are false. Once this point is recognized, it becomes clear, I argue, that we need a new conception of science which makes explicit, and so criticizable and improvable the big, influential, and problematic assumption that is at present implicit in physics in the persistent preference for unified theories. This conception of science, which I call aim-oriented empiricism, represents the assumption of physics in the form of a hierarchy of assumptions. As one goes up the hierarchy, the assumptions become less and less substantial, and more and more nearly such that their truth is required for science, or the pursuit of knowledge, to be possible at all. At each level, that assumption is accepted which (a) best accords with the next one up, and (b) has, associated with it the most empirically progressive research programme in physics, or holds out the greatest hope of leading to such an empirically progressive research programme. In this way a framework of relatively insubstantial, unproblematic, fixed assumptions and associated methods is created, high up in the hierarchy, within which much more substantial and problematic assumptions and associated methods, low down in the hierarchy, can be changed, and indeed improved, as scientific knowledge improves. One assumption in this hierarchy of assumptions, I argue, is that the cosmos is physically comprehensible – that is, such that some yet-to-be-discovered unified theory of everything is true. Hence the conclusion: improve our ideas about the nature of science and it becomes apparent that science has already established that the cosmos is physically comprehensible – in so far as science can ever establish anything theoretical. (shrink)

The Peoples of the Arctic and Arctic health and sustainability are highly interconnected and essentially one and the same. An appropriate path to a sustainable Arctic involves a shift away from individual learning and achieving toward community leadership and the betterment of society. This article draws upon mindset theory from Western psychology and Indigenous relational accountability to propose and outline a model for achieving sustainability in the Arctic. The geographic focus is the North American Arctic. The principles of the argument (...) and the foundations of the model may apply across the Circumpolar North. The paper is a call to action for social scientists and policy makers in the Arctic to implement an Indigenous-led and self-determined social science. Empowering and supporting Indigenous leaders and scholars to direct and conduct autonomous social science research would inherently produce well-being and sustainability for Indigenous communities and regions. The arguments are supported by an inductive analysis of peer-reviewed literature, and the model is organized and illustrated using a schematic of concentric circles. The foundational elements of the model include: Indigenous sovereignty, Indigenous ontology, Indigenous models of sustainability, and Indigenous scholarship. Environmental scientists, resource managers, and policy makers are directed to better understand, accept, and support Indigenous science as a comprehensive and valid knowledge system; change how they use key terminology in research; rethink research roles; and amend processes and timelines for research development and funding. To achieve the desired outcomes for community well-being and Arctic sustainability, Arctic social scientists should seriously consider centering Indigenous science, especially in Indigenous communities. (shrink)

‘Mapping accounts’ of applied mathematics hold that the application of mathematics in physical science is best understood in terms of ‘mappings’ between mathematical structures and physical structures. In this paper, I suggest that mapping accounts rely on the assumption that the mathematics relevant to any application of mathematics in empirical science can be captured in an appropriate mathematical structure. If we are interested in assessing the plausibility of mapping accounts, we must ask ourselves: how plausible is this assumption as (...) a working hypothesis about applied mathematics? In order to do so, we examine the role played by mathematics in the multiscalar modelling of sea ice melting behaviour and examine whether we can indeed capture the mathematics involved in the kind of mathematical structure employed by the mapping account. Along the way, we note that the cases of applied mathematics that appear in discussions of mapping accounts almost exclusively involve the employment of a single clearly circumscribed mathematical field or domain. While the core assumption of mapping accounts may appear plausible in such situations, we ultimately suggest that the mapping account is not able to handle the important added complexities involved in our sea ice case study. In particular, the notion of mathematical structure around which such accounts are framed does not seem to be able to capture the way in which some applications of mathematics require that very different pieces of mathematics be related to one another on the basis of both mathematical and empirical information. (shrink)

Applying the Holistic Governance System (HGS) to the Philippines -/- The Philippines has struggled with corruption, political instability, economic inequality, and weak governance. Applying the Holistic Governance System (HGS) could transform the country into a stable, prosperous, and globally competitive nation. -/- Key Challenges in the Philippines: -/- 1. Corruption – Widespread in government agencies, law enforcement, and politics. -/- 2. Political Dynasties & Electoral Manipulation – Many leaders come from elite families, limiting true democracy. -/- 3. Economic Inequality – (...) The wealth gap is extreme, with many Filipinos in poverty. -/- 4. Weak Law Enforcement & Justice System – Crime, illegal drugs, and extrajudicial killings undermine public trust. -/- 5. Underdeveloped Infrastructure – Slow development of transportation, digital connectivity, and urban planning. -/- 6. Brain Drain – Many skilled Filipinos leave for better opportunities abroad. -/- HGS can address these issues by combining the best governance models from around the world while adapting them to the Philippine context. -/- Step-by-Step Implementation of HGS in the Philippines: -/- 1. Political Reform: Replacing Traditional Politics with a Meritocratic Leadership System -/- The Strategic Council (7 Leaders): Instead of a single president, the Philippines would be led by a council of seven experts, each specializing in key areas like economy, education, security, and technology. -/- No Political Dynasties: Candidates must prove their qualifications (economic, scientific, or governance expertise) before being allowed to run. -/- Fixed 10-Year Term: Leaders serve long enough to implement national development plans but cannot seek re-election. -/- ???? Impact: This will eliminate corruption, improve decision-making, and end elite family control of politics. -/- 2. Balanced Democracy: Direct Citizen Participation in Decision-Making -/- Annual Referendums: Inspired by Switzerland, Filipinos will vote directly on key national policies (e.g., education reforms, infrastructure projects). -/- Congress Reform: Replace the current system with: -/- People’s Assembly – Elected by citizens to represent public concerns. -/- Expert Senate – Composed of scientists, economists, and policy experts. -/- ???? Impact: This system prevents corrupt politicians from making bad decisions and gives Filipinos a real voice in governance. -/- 3. Economic Reform: A Hybrid System for Growth & Stability -/- Balanced Free Market + State Planning: -/- Private businesses continue operating, but key industries (energy, healthcare, education, transport) are state-controlled for stability. -/- Large government investment in technology, renewable energy, and industrial growth. -/- Anti-Corruption Crackdown: Modeled after Singapore’s strict anti-corruption policies. -/- Digital Government System: Minimize human corruption by making all government transactions online with AI verification. -/- ???? Impact: The economy grows without exploitation, and corruption is eliminated in business and government. -/- 4. Social Welfare: Universal Services for All Filipinos -/- Free Universal Healthcare: Like Norway & Sweden, all Filipinos receive high-quality medical care. -/- Free Higher Education: Universities are fully funded, with scholarships for top students. -/- Basic Income for the Poor: Prevents extreme poverty and improves national productivity. -/- Affordable Housing & Smart Cities: Government builds modern, eco-friendly, low-cost housing. -/- ???? Impact: This ensures every Filipino has access to education, health, and stable living conditions. -/- 5. Justice & Security: Smart Law Enforcement with AI & Independent Courts -/- AI-Powered Legal System: Reduce human bias in court cases and prevent political influence. -/- Strict Anti-Corruption Laws: Inspired by Singapore, harsh penalties for corruption at all levels. -/- High-Tech Crime Prevention: AI surveillance, digital ID verification, and cybercrime prevention. -/- ???? Impact: A fast, fair, and corruption-free justice system. -/- 6. Infrastructure & Urban Development: Smart Cities & Green Energy -/- Nationwide High-Speed Rail & Smart Transportation: Inspired by China’s urban planning. -/- 100% Renewable Energy Goal: Government investment in solar, wind, and hydro energy. -/- Smart City Development: AI-controlled traffic, clean public spaces, and sustainable urban design. -/- ???? Impact: A modern Philippines with world-class infrastructure and zero energy dependence. -/- 7. Foreign Policy & National Defense: Economic Strength + Global Neutrality -/- Neutrality in Global Conflicts: Inspired by Switzerland, the Philippines avoids military conflicts but strengthens economic ties with all nations. -/- Strong Cybersecurity & Modernized Military: Instead of focusing on war, invest in cyber defense and AI-powered security. -/- Self-Sufficient Agriculture & Industry: Reduce dependence on foreign imports by boosting local food and industrial production. -/- ???? Impact: The Philippines becomes a secure, self-reliant, and economically strong nation. -/- The Future Philippines Under HGS: A Model Nation -/- Final Thoughts: Why the Philippines Needs HGS -/- ???? HGS will transform the Philippines into a: ✅ Politically stable nation with honest, expert-led governance. ✅ Economically strong country with innovation and self-sufficiency. ✅ Corruption-free government with strict anti-corruption policies. ✅ Technology-driven society with AI, smart cities, and digital governance. ✅ Socially progressive state with free healthcare, education, and a guaranteed basic income. -/- By eliminating corruption, restructuring governance, and investing in technology, the Philippines can rise as a global model for modern governance. -/- Roadmap for Transitioning the Philippines to the Holistic Governance System (HGS) -/- Goal: Transform the Philippines into a corruption-free, economically strong, socially progressive, and technologically advanced nation using HGS principles. -/- ???? Phase 1: Laying the Foundation (Year 1-5) -/- Objective: Establish public trust, eliminate corruption, and implement key reforms in government, economy, and education. -/- 1. Anti-Corruption Revolution (Year 1-3) -/- ✅ Create a National Anti-Corruption Tribunal (similar to Singapore’s system) with special prosecutors and AI-powered case review to ensure fair trials. ✅ Strict penalties for corruption (lifetime ban from politics, confiscation of illegally obtained wealth, long prison sentences). ✅ Full Digital Government System – All government transactions go online to remove human corruption (permits, taxes, elections, etc.). -/- ???? Impact: Government corruption is drastically reduced, and public trust in leadership increases. -/- 2. Leadership Reform (Year 2-5) -/- ✅ Ban Political Dynasties – Require strict merit-based qualifications for all public officials. ✅ Restructure the Government: Replace the president with the Strategic Council (7 experts) and reform Congress into: -/- People’s Assembly (elected representatives). -/- Expert Senate (top scientists, economists, and technocrats). ✅ Mandatory Leadership Training – All future leaders must undergo a 5-year program on governance, economics, and philosophy. -/- ???? Impact: The Philippines shifts from a corrupt dynasty-driven system to a competence-based government. -/- 3. Education Reform (Year 2-4) -/- ✅ Upgrade the curriculum to teach critical thinking, technological skills, and the Universal Law of Balance. ✅ Free College Education (funded by corruption money recovery). ✅ Global Research Partnerships with universities in Europe, Singapore, and the U.S. to improve STEM education. -/- ???? Impact: The youth become future innovators and critical thinkers, reducing brain drain. -/- ???? Phase 2: Economic & Social Transformation (Year 6-10) -/- Objective: Transition to a self-sufficient economy with world-class infrastructure and social services. -/- 4. Economic Overhaul (Year 6-10) -/- ✅ Hybrid Economic Model (similar to Singapore & China): -/- Free market for small businesses & entrepreneurship. -/- Government-controlled key industries (healthcare, energy, infrastructure). ✅ AI-Governed Tax System – Automate taxation to prevent tax evasion. ✅ Massive Government Investment in Technology (AI, robotics, green energy, and space research). -/- ???? Impact: The Philippines becomes a tech-driven economy, independent of remittances. -/- 5. Universal Social Welfare System (Year 6-8) -/- ✅ Free Universal Healthcare (Norway model) – Build more hospitals, increase doctor salaries, and implement telemedicine in rural areas. ✅ Basic Income for the Poor (funded by recovered corruption money and AI-driven economic growth). ✅ National Housing Program – Construct affordable smart cities with AI-managed traffic, green energy, and disaster-resistant buildings. -/- ???? Impact: All Filipinos have access to quality healthcare, education, and stable housing. -/- 6. Infrastructure Boom & Smart City Development (Year 6-10) -/- ✅ High-Speed Rail System (China model) – Connect Luzon, Visayas, and Mindanao with a modern railway. ✅ Digital Infrastructure – High-speed internet for all citizens, free public WiFi, and AI-managed urban planning. ✅ 100% Renewable Energy – Solar, wind, and hydro power investments to eliminate electricity shortages. -/- ???? Impact: The Philippines becomes a modern, highly developed nation with smart, efficient cities. -/- ???? Phase 3: Global Powerhouse & Permanent Stability (Year 11-20) -/- Objective: Establish the Philippines as a global leader in innovation, sustainability, and governance. -/- 7. AI-Powered Governance (Year 11-15) -/- ✅ Full AI Integration in Government – Automate law enforcement, policymaking analysis, and economic planning. ✅ Digital Direct Democracy – Filipinos can vote online in annual national referendums on key policies (Switzerland model). -/- ???? Impact: A corruption-proof, people-powered government that makes smart, data-driven decisions. -/- 8. Military & Foreign Policy Reform (Year 11-15) -/- ✅ Neutrality & Economic Diplomacy (Swiss Model) – Stay independent of global conflicts while expanding trade with the U.S., China, and ASEAN. ✅ Cybersecurity Defense System – Develop AI-powered cyber-defense technology to prevent hacking & cyber threats. ✅ Self-Sufficiency in Agriculture & Industry – Invest in high-tech farming and local industries to reduce import reliance. -/- ???? Impact: The Philippines becomes an economically powerful, self-sufficient, and diplomatically respected nation. -/- 9. Space & Advanced Scientific Research (Year 16-20) -/- ✅ Launch a Philippine Space Program (like NASA) to develop satellite technology and space exploration. ✅ Invest in AI & Quantum Computing Research to compete in the global tech industry. ✅ Biotechnology & Medicine Research to create Philippine-made vaccines, treatments, and bio-engineered food solutions. -/- ???? Impact: The Philippines becomes a hub for science, space, and technological innovation. -/- ???? Summary: The New Philippines Under HGS -/- ???? Conclusion: The Philippines as a Global Model Nation -/- By transitioning to HGS, the Philippines will: ✅ Eliminate corruption & political dynasties through AI-powered governance. ✅ Become a tech-driven, self-sufficient economy with free healthcare, education, and infrastructure. ✅ Modernize cities, transport, and digital services for efficiency and sustainability. ✅ Be a global leader in science, AI, and space exploration. -/- . (shrink)

Both biosemiotics and evolutionary epistemology are concerned with how knowledge evolves. (Applied) Evolutionary Epistemology thereby focuses on identifying the units, levels, and mechanisms or processes that underlie the evolutionary development of knowing and knowledge, while biosemiotics places emphasis on the study of how signs underlie the development of meaning. We compare the two schools of thought and analyze how in delineating their research program, biosemiotics runs into several problems that are overcome by evolutionary epistemologists. For one, by emphasizing signs, (...) biosemiotics needs to delineate a semiotic threshold, which is a problem not encountered by evolutionary epistemologists. Instead, the latter recognizes that all organisms are knowers that evolve knowledge, which they recognize to extend toward phenomena produced by organisms such as behavior, cognition, language, culture, science, and technology. Secondly, biosemiotics attempts at continuing adaptationist notions on how organisms relate to their environment, while especially Applied Evolutionary Epistemology comes to redefine the nature of the organism–environment relationship in such a way that it recognizes the spatiotemporal boundedness of existence, which in turn makes adaptationist accounts obsolete. (shrink)

Haack classifies Spengler’s views on the end of science as what she terms annihilationist in that he forecasts the absolute termination of scientific activity as opposed to its completion or culmination. She also argues that in addition to his externalist argument that Western science, as cultural product, cannot survive the demise of Western Culture, Spengler also puts forward an internalist argument that science, regardless of the imminent demise of Western Culture, is in terminal decline as evidenced by its diminishing returns. (...) I argue against Haack that Spengler’s argument for the diminishing returns of modern science is in fact an externalist one, in that he locates the sources of science’s current decline outside the discipline of science itself, attributing them to a change in cultural attitude towards scientific endeavours. I further argue that Spengler’s prediction of the imminent end of science was directed specifically at pure science, and that he in fact held that applied science would continue to develop. I also take issue with Haack’s suggestion that Spengler’s views on science were outmoded at the time that he wrote them. (shrink)

I outline the theoretical framework of, and three research programs within American speculative philosophy of science during the period 1900-1931. One program applies verificationism to research in psychology, one investigates the methodology of research programs, and one analyses scientific explanation and other scientific concepts. The primary sources for my outline are works by Morris Raphael Cohen, Grace Andrus de Laguna, Theodore de Laguna, Edgar Arthur Singer Jr., Harold Robert Smart, and Marie Collins Swabey. I also use my outline to provide (...) a partial comparison of American speculative philosophy of science and 1930s logical positivism. My comparison suggests that logical positivism was a proposal for substantially narrowing down and winding back American philosophy of science and was based on positions that were already problematized in the American context. -/- . (shrink)

In this paper, I address the question of whether metaphysics and theology are or can become science. After examining the qualities of contemporary science, which evolved from an earlier historic concept of any body of literature into a formal method for obtaining empirical knowledge, I apply that standard to metaphysics and theology. I argue that neither metaphysics nor theology practices a scientific method or generates scientific knowledge. Worse, I conclude that both metaphysics and theology are at best purely cultural projects—exercises (...) in exegesis of local cultural and religious ideas and language—and, therefore, that other cultures have produced or would produce radically different schemes of metaphysics or theology. At its worst, metaphysics is speculation about the unknowable, while theology is rumination about the imaginary. (shrink)

The essay brings a summation of human efforts seeking to understand our existence. Plato and Kant & cognitive science complete reduction of philosophy to a neural mechanism, evolved along elementary Darwinian principles. Plato in his famous Cave Allegory explains that between reality and our experience of it there exists a great chasm, a metaphysical gap, fully confirmed through particle-wave duality of quantum physics. Kant found that we have two kinds of perception, two senses: By the spatial outer sense we perceive (...) phenomena, objects in space. Our temporal inner sense lets us perceive our inner state, noumena . Kant's two senses are fully confirmed through bilateral brain duality of cognitive science. The bilateral brain serves inner, temporal sense, logic & noumena in the left hemisphere. The right brain half is for the outer, spatial sense, geometry & phenomena. We form a whole system, a bilateral interior cosmos, a kind of world model, expressing what may lie beyond the metaphysical gap. In the right brain we build a phenomenal cosmos, to resemble the outer environment. In the brain's left hemisphere a noumenal cosmos, a model of our private world including Saint Teresa of Avila's castillo interior. The cosmos is regularly updated with novel sense data integrated into our memory banks. This was recognized early by Helmholtz (1860s). Our lives, health & well-being depend on us keeping our interior cosmos in good order. This used to be seen as saving one's precious soul from perdition. While we endeavour to keep our phenomenal cosmos neat & orderly by protecting the environment from harm, our noumenal cosmos to be livable requires us to engage in ethical conduct. This bilateral cosmos is responsible for our common sense judgment power, that we depend on for being able to lead a good & benign life. The 200 million neurons of BA10 in the prefrontal lobe have global access to the interior cosmos, & apply massive feedback to identify environmental conditions rapidly. The global access also gives conscious presence of the individual to itself, all that is present in the interior cosmos, for total freedom of action. In the left brain private ego, we are guarded by faith in divine mercy, & guided to choose the best course of action, able to survive under the most adverse conditions. For this, we receive directions from the Holy Ghost in Saint Teresa's castillo interior. (shrink)

Library information science (LIS) should develop its foundation in terms of a philosophy of information (PI). This seems a rather harmless suggestion. Where else could information science look for its conceptual foundations if not in PI? However, accepting this proposal means moving away from one of the few solid alternatives currently available in the field, namely, providing LIS with a foundation in terms of social epistemology (SE). This is no trivial move, so some reasonable reluctance is to be expected. To (...) overcome it, the proposal needs to be more than just acceptable; it must be convincing. In Floridi (2002a), I have articulated some of the reasons why I believe that PI can fulfill the foundationalist needs better than SE can. I won’t rehearse them here. I find them compelling, but I am ready to change my mind if counterarguments become available. Rather, in this contribution, I wish to clarify some aspects of my proposal (Floridi, 2002a) in favor of the interpretation of LIS as applied PI. I won’t try to show you that I am right in suggesting that PI may provide a foundation for LIS better than SE. My more modest goal is to remove some ambiguities and possible misunderstandings that might prevent the correct evaluation of my position, so that disagreement can become more constructive. (shrink)

Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called 'ontologies,' for managing information in fields such as science, government, industry, and healthcare. Currently, these systems are designed in a variety of different ways, so they cannot share data with one another. They are often idiosyncratically structured, accessible only to those who (...) created them, and unable to serve as inputs for automated reasoning. This volume shows, in a nontechnical way and using examples from medicine and biology, how the rigorous application of theories and insights from philosophical ontology can improve the ontologies upon which information management depends. (shrink)

This paper argues that Davidson's argument against conceptual schemes fail against so-called "Applied Relativisms", i.e. theories of conceptual relativism found outside philosophy such as Whorf's. These theories make no metaphysical claims, which Davidson seems to assume. Ultimately, the misunderstanding (and resulting strawman argument) illustrates (the effect of) differences in conceptual schemes more than that it undermines it.

Natural science, properly understood, provides us with the methodological key to the salvation of humanity. First, we need to acknowledge that the actual aims of science are profoundly problematic, in that they make problematic assumptions about metaphysics, values and the social use of science. Then we need to represent these aims in the form of a hierarchy of aims, which become increasingly unproblematic as one goes up the hierarchy; as result we create a framework of relatively unproblematic aims and methods, (...) high up in the hierarchy, within which much more problematic aims and methods, low down in the hierarchy, may be improved as scientific knowledge improves. Then, we need to generalize this hierarchical, aims-and-methods-improving methodology so that it becomes fruitfully applicable to any worthwhile endeavour with problematic aims. Finally, we need to apply this methodology to the immensely problematic task of making progress towards as good a world as feasible. (shrink)

Increasingly, in data-intensive areas of the life sciences, experimental results are being described in algorithmically useful ways with the help of ontologies. Such ontologies are authored and maintained by scientists to support the retrieval, integration and analysis of their data. The proposition to be defended here is that ontologies of this type – the Gene Ontology (GO) being the most conspicuous example – are a part of science. Initial evidence for the truth of this proposition (which some will find (...) self-evident) is the increasing recognition of the importance of empirically-based methods of evaluation to the ontology development work being undertaken in support of scientific research. Ontologies created by scientists must, of course, be associated with implementations satisfying the requirements of software engineering. But the ontologies are not themselves engineering artifacts, and to conceive them as such brings grievous consequences. Rather, ontologies such as the GO are in different respects comparable to scientific theories, to scientific databases, and to scientific journal publications. Such a view implies a new conception of what is involved in the authoring, maintenance and application of ontologies in scientific contexts, and therewith also a new approach to the evaluation of ontologies and to the training of ontologists. (shrink)

Looking out of Information Science (IS) it´s a dangerous attempt to compare this relative new science direct with Philosophy. Here you find a first circumspective trial of an investigation of the traditionally named “queen of science”, Philosophy, two thousand years old and - direct opposite - the only a half century old Information Science. For me it is till now not yet clear how to do this in a serious scientific manner. I worked in Applied Informatics for 30 years (...) and make Information Science since about 15 years. Here I dare to publish for first time the results. SOKRATES (469 – 399 b.Chr.), PLATON (428/27- 348/47 b.Chr.) und ARISTOTELES (384 - 322 b.Chr.) as inventors of our traditional occidental Philosophy, have founded the search of the sense of our Human Life, Thinking and Acting as an own science. They set the Joy of Life on top of their way of thinking. PLATON has separated this special new thinking from the „Sophists“ who had a very good public image too at his time. But they were thinking more about common business facts and knowledge only. Today we would call them manufacturer, qualified skilled workers or even bachelors of special sciences. Philosophy has (since over 20 centuries) till today first of all the smart and high duty to serve Religion and Ethics as mental, spirit- and language-grounded science-base. In other direction it was used to overthink our whole surrounding nature theoretically and completely by our best Human Mind. It´s our traditional science on our mental highest level. All sciences can be related by Philosophy. That´s possible by our human ability to Learn, Think, Understand and finally Know any interesting new fact. Where and how do we have now to integrate this new own science Information Science? We search consciously term-oriented and make an abstract science-theoretical comparison to find answers and definitions. (shrink)

Most scientists would hold that science has not established that the cosmos is physically comprehensible – i.e. such that there is some as-yet undiscovered true physical theory of everything that is unified. This is an empirically untestable, or metaphysical thesis. It thus lies beyond the scope of science. Only when physics has formulated a testable unified theory of everything which has been amply corroborated empirically will science be in a position to declare that it has established that the cosmos is (...) physically comprehensible. But this argument presupposes a widely accepted but untenable conception of science which I shall call standard empiricism. According to standard empiricism, in science theories are accepted solely on the basis of evidence. Choice of theory may be influenced for a time by considerations of simplicity, unity, or explanatory capacity, but not in such a way that the universe itself is permanently assumed to be simple, unified or physically comprehensible. In science, no thesis about the universe can be accepted permanently as a part of scientific knowledge independently of evidence. Granted this view, it is clear that science cannot have established that the universe is physically comprehensible. Standard empiricism is, however, as I have indicated, untenable. Any fundamental physical theory, in order to be accepted as a part of theoretical scientific knowledge, must satisfy two criteria. It must be sufficiently empirically successful, and sufficiently unified. Given any accepted theory of physics, endlessly many empirically more successful disunified rivals can always be concocted – disunified because they assert that different dynamical laws govern the diverse phenomena to which the theory applies. These disunified rivals are not considered for a moment in physics, despite their greater empirical success. This persistent rejection of empirically more successful but disunified rival theories means, I argue, that a big, highly problematic, implicit assumption is made by science about the cosmos, to the effect, at least, that the cosmos is such that all seriously disunified theories are false. Once this point is recognized, it becomes clear, I argue, that we need a new conception of science which makes explicit, and so criticizable and improvable the big, influential, and problematic assumption that is at present implicit in physics in the persistent preference for unified theories. This conception of science, which I call aim-oriented empiricism, represents the assumption of physics in the form of a hierarchy of assumptions. As one goes up the hierarchy, the assumptions become less and less substantial, and more and more nearly such that their truth is required for science, or the pursuit of knowledge, to be possible at all. At each level, that assumption is accepted which best accords with the next one up, and has, associated with it the most empirically progressive research programme in physics, or holds out the greatest hope of leading to such an empirically progressive research programme. In this way a framework of relatively insubstantial, unproblematic, fixed assumptions and associated methods is created, high up in the hierarchy, within which much more substantial and problematic assumptions and associated methods, low down in the hierarchy, can be changed, and indeed improved, as scientific knowledge improves. One assumption in this hierarchy of assumptions, I argue, is that the cosmos is physically comprehensible – that is, such that some yet-to-be-discovered unified theory of everything is true. Hence the conclusion: improve our ideas about the nature of science and it becomes apparent that science has already established that the cosmos is physically comprehensible – in so far as science can ever establish anything theoretical. (shrink)

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost (...) and globally accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)

The relevance of analytic metaphysics has come under criticism: Ladyman & Ross, for instance, have suggested do discontinue the field. French & McKenzie have argued in defense of analytic metaphysics that it develops tools that could turn out to be useful for philosophy of physics. In this article, we show first that this heuristic defense of metaphysics can be extended to the scientific field of applied ontology, which uses constructs from analytic metaphysics. Second, we elaborate on a parallel by (...) French & McKenzie between mathematics and metaphysics to show that the whole field of analytic metaphysics, being useful not only for philosophy but also for science, should continue to exist as a largely autonomous field. (shrink)

Philosophers and social scientists largely agree that fake news is not just necessarily untruthful, but necessarily insincere: it’s produced either with the intention to deceive or an indifference toward its truth. Against this, I argue insincerity is neither a necessary nor obviously typical feature of fake news. The main argument proceeds in two stages. The first, methodological step develops classification criteria for identifying instances of fake news. By attending to expressed theoretical and practical interests, I observe how our classification practices (...) turn on worries about fake news’s unique political-epistemic risks. From this, I argue (i) theories of fake news should capture independent mechanisms that realise these risks and (ii) the manifestation of them suffices for classifying a news story as fake news. The second step applies the classification criteria to bad science journalism. I argue the systematic epistemic faults in bad science journalism manifest the same political-epistemic risks we see in fake news, which suffices to justify classifying it as fake news. But since such faults aren’t plausibly attributed to its propagators being insincere, insincerity doesn’t function independently as a mechanism for realising fake news’s political-epistemic risks. Thus, I conclude, we should exclude insincerity from our accounts of the phenomenon. (shrink)

We argue that many recent philosophical discussions about the reference of everyday concepts of intentional states have implicitly been predicated on descriptive theories of reference. To rectify this, we attempt to demonstrate how a causal theory can be applied to intentional concepts. Specifically, we argue that some phenomena in early social de- velopment ðe.g., mimicry, gaze following, and emotional contagionÞ can serve as refer- ence fixers that enable children to track others’ intentional states and, thus, to refer to those (...) states. This allows intentional concepts to be anchored to their referents, even if folk psy- chological descriptions turn out to be false. (shrink)

The cognitive science of belief is a burgeoning field, with insights ranging from detailing the fundamental structure of the mind, to explaining the spread of fake news. Here we highlight how new insights into belief acquisition, storage, and change can transform our understanding of psychiatric disorders. Although we focus on monothematic delusions, the conclusions apply more broadly. -/- .

This study develops a Science–Technology–Society (STS)-based science ethics education program for high school students majoring in or planning to major in science and engineering. Our education program includes the fields of philosophy, history, sociology and ethics of science and technology, and other STS-related theories. We expected our STS-based science ethics education program to promote students’ epistemological beliefs and moral judgment development. These psychological constructs are needed to properly solve complicated moral and social dilemmas in the fields of science and engineering. (...) We applied this program to a group of Korean high school science students gifted in science and engineering. To measure the effects of this program, we used an essay-based qualitative measurement. The results indicate that there was significant development in both epistemological beliefs and moral judgment. In closing, we briefly discuss the need to develop epistemological beliefs and moral judgment using an STS-based science ethics education program. (shrink)

What is the purpose of philosophy of science? Here are some answers.