Wicked problems are tricky to solve because of their many interconnected components and a lack of any single optimal solution. At the science–policy interface, all problems can look wicked: research exposes the complexity that is relevant to designing, executing and implementing policy fit for ambitious human needs. Expertise in philosophical research can help to navigate that complexity.

Bridging Social Inequality Gaps - Concepts, Theories, Methods, and Tools focuses on contemporary discussions around multifaceted causes, explanations, and responses to social disparities. The contributors provide studies related to social and cultural dimensions of inequality, economic and technological dimensions of inequality, environmental dimensions of inequality, and political, ethical, and legal dimensions of inequality, as well as a variety of other perspectives on disparities. The volume also covers crucial issues and challenges for the global, national, regional, and local implementation of public (...) policies to reduce inequalities, including innovative actions, projects, and programs focused on achieving the United Nations Sustainable Development Goals (SDGs). The collection includes chapters encompassing research and practical recommendations from various disciplines such as sociology, economics, management, political science, administrative science, development studies, public health, peace and conflict studies, cultural studies, educational studies, communication studies, and social work. This book is an asset to academic and expert communities interested in theories of social inequality as well as effective measurement tools, public services, and strategies. Moreover, the volume helps students, practitioners, and people working in government, business, and nonprofit organizations to build more equitable social relationships. (shrink)

Human behavior is an underlying cause for many of the ecological crises faced in the 21st century, and there is no escaping from the fact that widespread behavior change is necessary for socio-ecological systems to take a sustainable turn. Whilst making people and communities behave sustainably is a fundamental objective for environmental policy, behavior change interventions and policies are often implemented from a very limited non-systemic perspective. Environmental policy-makers and psychologists alike often reduce cognition ‘to the brain,’ focusing (...) only to a minor extent on how everyday environments systemically afford pro-environmental behavior. Symptomatic of this are the widely prevalent attitude–action, value–action or knowledge–action gaps, understood in this paper as the gulfs lying between sustainable thinking and behavior due to lack of affordances. I suggest that by adopting a theory of affordances as a guiding heuristic, environmental policy-makers are better equipped to promote policies that translate sustainable thinking into sustainable behavior, often self-reinforcingly, and have better conceptual tools to nudge our socio–ecological system toward a sustainable turn. Affordance theory, which studies the relations between abilities to perceive and act and environmental features, is shown to provide a systemic framework for analyzing environmental policies and the ecology of human behavior. This facilitates the location and activation of leverage points for systemic policy interventions, which can help socio–ecological systems to learn to adapt to more sustainable habits. Affordance theory is presented to be applicable and pertinent to technically all nested levels of socio–ecological systems from the studies of sustainable objects and households to sustainable urban environments, making it an immensely versatile conceptual policy tool. Finally, affordance theory is also discussed from a participatory perspective. Increasing the fit between local thinking and external behavior possibilities entails a deep understanding of tacit and explicit attitudes, values, knowledge as well as physical and social environments, best gained via inclusive and polycentric policy approaches. (shrink)

Background -/- Emerging technologies and societal changes create new ethical concerns and greater need for cross-disciplinary and cross–stakeholder communication on navigating ethics in research. Scholarly articles are the primary mode of communication for researchers, however there are concerns regarding the expression of research ethics in these outputs. If not in these outputs, where should researchers and stakeholders learn about the ethical considerations of research? Objectives -/- Drawing on a scoping review, analysis of policy in a specific disciplinary context (learning (...) and technology), and reference group discussion, we address concerns regarding research ethics, in research involving emerging technologies through developing novel policy that aims to foster learning through the expression of ethical concepts in research. Approach -/- This paper develops new editorial policy for expression of research ethics in scholarly outputs across disciplines. These guidelines, aimed at authors, reviewers, and editors, are underpinned by: -/- a cross-disciplinary scoping review of existing policy and adherence to these policies; a review of emerging policies, and policies in a specific discipline (learning and technology); and, a collective drafting process undertaken by a reference group of journal editors (the authors of this paper). -/- Results -/- Analysis arising from the scoping review indicates gaps in policy across a wide range of journals (54% have no statement regarding reporting of research ethics), and adherence (51% of papers reviewed did not refer to ethics considerations). Analysis of emerging and discipline-specific policies highlights gaps. Conclusion -/- Our collective policy development process develops novel materials suitable for cross-disciplinary transfer, to address specific issues of research involving AI, and broader challenges of emerging technologies. (shrink)

Background: The United States symbolizes democracy in the new world and contributes to global prosperity. Nevertheless, incrementalism is a historically dominant national approach to public policy implementation that delays democracy and undermines human dignity. Human flourishing and national development are endangered by slow-moving democratic changes. This necessitates a social justice framework that traces the exploitation of incrementalism and the consequences of opportunity gaps. Objectives: This study aims to construct a grounded theory to address and answer the following research question: (...) Are anti-democratic concepts part of a process or strategy that hinders democratic change, and what reinforces it, if anything? Methods: Two categories emerged from a grounded theory of democratic social change. This combination of anti-democratic tenets and democratic principles led to abductive reasoning to fill the research gap. Results: The key finding was the existence of a systematic approach that led to democracy while simultaneously disempowering the same group through legal and extralegal means. Two processes hinder democracy: incrementalism and an anti-democratic demoralizing process. A constructivist social justice grounded theory was developed to analyze and evaluate public policy for barriers and facilitators of democracy. A thorough analysis and evaluation of the impact and consequences of public policy is recommended to better understand how such policies impede democracy and influence American perceptions of justice. (shrink)

The objective of Working Group 4 of the COST Action NET4Age-Friendly is to examine existing policies, advocacy, and funding opportunities and to build up relations with policy makers and funding organisations. Also, to synthesize and improve existing knowledge and models to develop from effective business and evaluation models, as well as to guarantee quality and education, proper dissemination and ensure the future of the Action. The Working Group further aims to enable capacity building to improve interdisciplinary participation, to promote (...) knowledge exchange and to foster a cross-European interdisciplinary research capacity, to improve cooperation and co-creation with cross-sectors stakeholders and to introduce and educate students SHAFE implementation and sustainability. To enable the achievement of the objectives of Working Group 4, the Leader of the Working Group, the Chair and Vice-Chair, in close cooperation with the Science Communication Coordinator, developed a template to map the current state of SHAFE policies, funding opportunities and networking in the COST member countries of the Action. On invitation, the Working Group lead received contributions from 37 countries, in a total of 85 Action members. The contributions provide an overview of the diversity of SHAFE policies and opportunities in Europe and beyond. These were not edited or revised and are a result of the main areas of expertise and knowledge of the contributors; thus, gaps in areas or content are possible and these shall be further explored in the following works and reports of this WG. But this preliminary mapping is of huge importance to proceed with the WG activities. In the following chapters, an introduction on the need of SHAFE policies is presented, followed by a summary of the main approaches to be pursued for the next period of work. The deliverable finishes with the opportunities of capacity building, networking and funding that will be relevant to undertake within the frame of Working Group 4 and the total COST Action. The total of country contributions is presented in the annex of this deliverable. (shrink)

Innovation is progressively needed in responding to global challenges. Moreover, the increasing complexity of challenges implies demand for the usage of multisectoral and policy mix approaches. Wicked problems can be tackled by "integrated innovation" that combines the coordinated implementation of social, technological, and health innovation co-created by entities of the public sector, the private sector, the non-governmental sector, and the informal sector. This Research Topic focuses on filling the knowledge gaps about the selected types of innovation. First, regarding social (...) innovation that can be understood as new strategies, concepts, products, services, and organizational forms that allow the satisfaction of human needs. Second, a technological innovation that refers to new or remarkably improved products, goods, or services in terms of their technical specifications, components, materials, software, design, or other functional features. Third, health innovation that focuses on novel or enhanced health policies, systems, products, technologies, services, and care delivery schemes to improve people’s health. Finally, this Research Topic highlights attempts to develop integrated innovation that can add value to social policy, health policy, and environmental policy by improving efficiency, effectiveness, quality, sustainability, safety, and affordability. (shrink)

Climatology is a paradigmatic complex systems science. Understanding the global climate involves tackling problems in physics, chemistry, economics, and many other disciplines. I argue that complex systems like the global climate are characterized by certain dynamical features that explain how those systems change over time. A complex system's dynamics are shaped by the interaction of many different components operating at many different temporal and spatial scales. Examining the multidisciplinary and holistic methods of climatology can help us better understand the (...) nature of complex systems in general. -/- Questions surrounding climate science can be divided into three rough categories: foundational, methodological, and evaluative questions. "How do we know that we can trust science?" is a paradigmatic foundational question (and a surprisingly difficult one to answer). Because the global climate is so complex, questions like "what makes a system complex?" also fall into this category. There are a number of existing definitions of `complexity,' and while all of them capture some aspects of what makes intuitively complex systems distinctive, none is entirely satisfactory. Most existing accounts of complexity have been developed to work with information-theoretic objects (signals, for instance) rather than the physical and social systems studied by scientists. -/- Dynamical complexity, a concept articulated in detail in the first third of the dissertation, is designed to bridge the gap between the mathematics of contemporary complexity theory (in particular the formalism of "effective complexity" developed by Gell-Mann and Lloyd [2003]) and a more general account of the structure of science generally. Dynamical complexity provides a physical interpretation of the formal tools of mathematical complexity theory, and thus can be used as a framework for thinking about general problems in the philosophy of science, including theories, explanation, and lawhood. -/- Methodological questions include questions about how climate science constructs its models, on what basis we trust those models, and how we might improve those models. In order to answer questions about climate modeling, it's important to understand what climate models look like and how they are constructed. Climate model families are significantly more diverse than are the model families of most other sciences (even sciences that study other complex systems). Existing climate models range from basic models that can be solved on paper to staggeringly complicated models that can only be analyzed using the most advanced supercomputers in the world. I introduce some of the central concepts in climatology by demonstrating how one of the most basic climate models might be constructed. I begin with the assumption that the Earth is a simple featureless blackbody which receives energy from the sun and releases it into space, and show how to model that assumption formally. I then gradually add other factors (e.g. albedo and the greenhouse effect) to the model, and show how each addition brings the model's prediction closer to agreement with observation. After constructing this basic model, I describe the so-called "complexity hierarchy" of the rest of climate models, and argue that the sense of "complexity" used in the climate modeling community is related to dynamical complexity. -/- With a clear understanding of the basics of climate modeling in hand, I then argue that foundational issues discussed early in the dissertation suggest that computation plays an irrevocably central role in climate modeling. "Science by simulation" is essential given the complexity of the global climate, but features of the climate system--the presence of non-linearities, feedback loops, and chaotic dynamics--put principled limits on the effectiveness of computational models. This tension is at the root of the staggering pluralism of the climate model hierarchy, and suggests that such pluralism is here to stay, rather than an artifact of our ignorance. Rather than attempting to converge on a single "best fit" climate model, we ought to embrace the diversity of climate models, and view each as a specialized tool designed to predict and explain a rather narrow range of phenomena. Understanding the climate system as a whole requires examining a number of different models, and correlating their outputs. This is the most significant methodological challenge of climatology. -/- Climatology's role contemporary political discourse raises an unusually high number of evaluative questions for a physical science. The two leading approaches to crafting policy surrounding climate change center on mitigation (i.e. stopping the changes from occurring) and adaptation (making post hoc changes to ameliorate the harm caused by those changes). Crafting an effective socio-political response to the threat of anthropogenic climate change, however, requires us to integrate multiple perspectives and values: the proper response will be just as diverse and pluralistic as the climate models themselves, and will incorporate aspects of both approaches. I conclude by offering some concrete recommendations about how to integrate this value pluralism into our socio-political decision making framework. (shrink)

Understanding the policymaking process in an emerging economy in the global south, such as Bangladesh, holds significant importance. The country's remarkable socio-economic development, once the most impoverished in the region, has been facilitated by post-globalization economic transformation. While the literature on institutional change has predominantly focused on states in industrialist countries, this dissertation presents an innovative theoretical approach. It deeply explores primary case materials to illustrate how the state engages in policy evolution in a developing country's gradual shift from (...) the import substitution model towards globalization and deregulation. The central argument posited is that Bangladesh's globalization, particularly through its private sector-led garment exports, stands as a significant success story. Bangladesh is now the world's second-largest garment exporter after China. This achievement is attributed to the entrepreneurial development it fosters and its role in driving socio-economic change. Moreover, it has enabled the mobilization of resources, reducing aid dependence, enhancing climate resilience, improving public health and wellbeing, empowering women, and addressing critical needs in physical infrastructure and human development. The argument presented here diverges from the conventional explanation found in the literature, which tends to emphasize the role of external forces, particularly institutions like the World Bank, the International Monetary Fund, and donors, in triggering policy reforms in Bangladesh. These reforms, commonly linked with structural adjustment packages implemented during the balance of payments crisis, are frequently perceived as predominantly influenced by external pressures. Additionally, the influence of the business class or Bangladeshi non-governmental organizations (NGOs) is often asserted. This dissertation proposes an alternative explanation by suggesting that ideational viewpoints within the state, specifically the ideas espoused by top technocrats and political executives, played a significant role. It argues that these internal ideational factors were more influential than materialistic ones, highlighting the causal role of the policy process driven by endogenous imperatives. The introduction of the dissertation addresses the research problem and research puzzle while suggesting conjectures after problematizing existing arguments. The significant economic transformation observed in Bangladesh today is portrayed as the outcome of a gradual process spanning several decades. The transition towards promoting the private sector and embracing globalization commenced in 1991, following a series of incremental changes dating back to the 1970s and 1980s. During these periods, the institutional path progressed towards empowering the private sector and embracing globalization, laying the groundwork for a trajectory led by the private sector in the context of globalization. The theory chapter serves to establish the conceptual and theoretical foundation for analyzing both economic change and transformation by examining the evolutionary nature of the process. The study adopts an institutional change framework, drawing on the theory of gradual change and focusing on concepts such as layering and tipping points. Within this framework, causal variables such as powering and puzzling, social learning, and ideas are identified. The methodological approach is grounded in historical institutionalism, employing the process-tracing "within case" method. The selection of cases deliberately targets an important yet under-researched area—the policy process in Bangladesh concerning the success of garment-led industrialization. This dissertation fills a noticeable gap in the literature through rigorous analysis, enabling an in-depth exploration of the institutional dynamics spanning four governments from 1972 to 1991. The study relies on substantial primary materials, including interviews with key officials. Each empirical chapter not only presents data but also connects the findings to conceptual and theoretical conjectures, underscoring the significant contributions of this research. The key causal variables identified include the concepts of ‘puzzling’ and ‘social learning’ within the state capacity framework, along with a narrowly defined and developed concept of a "policy committee." The learning process entails technocrats engaging in what Hugh Heclo and Peter Hall term as "social learning," where they play a crucial role in addressing policy challenges, particularly during times of uncertainty and political turmoil, based on their learning from past experiences. Additionally, the concept of ‘powering’ is highlighted, emphasizing that while technocrats provide policy recommendations, it is ultimately the political executive who endorses policies. The interplay between ‘puzzling and powering’ and ‘social learning’ shapes the outcomes of the policy process. The first empirical chapter focusing on the Sheikh Mujibur Rahman Government (1972-1975) illustrates the emergence of policy learning during this period. Initially, this government pursued import substitution under strict government controls, with a predominant public sector. The historical context of exploitation under Pakistani rule and the centralization of industry by West Pakistan fostered socialism as an ideal for East Pakistan's economic emancipation. Additionally, close ties with India and the Soviet Union reinforced this socialist tendency. However, due to severe economic conditions resulting from stringent control on private investment and emphasis on large-scale public investment, policy puzzling and learning ensued. As a result, incremental changes were initiated, allowing limited private sector participation. The second empirical chapter explores the General Ziaur Rahman government's tenure (1975-1981) and how deregulation was consolidated within a layering step, paving the way for a shift towards globalization. General Zia and his technocrats, operating under authoritarian conditions, acknowledged the inefficacy of existing policies. Furthermore, General Zia's inclination towards the West fostered closer collaboration with donors. The Multifiber Agreement (MFA) presented an opportunity for garments, coinciding with the decline in jute exports. This government opened up industrial sectors for private participation, and banks provided funding across various sectors, with special emphasis on the burgeoning garment industry. The chapter also explores the origins of the garment industry during this period. Notably, Noorul Quader Khan, upon retiring as cabinet secretary, collaborated with a Korean multinational, Daewoo, with the support of General Zia, leading to the establishment of Desh Garments—a pioneering venture that catalyzed the export orientation of the sector. The third empirical chapter delves into the economic policies of the General Hussain Muhammad Ershad Government (1982-1990), highlighting its emphasis on greater private sector involvement. Under this administration, there was a political inclination towards globalization and deregulation, leading to the appointment of technocrats aligned with this vision. The leadership believed that promoting the private sector would be more effective in job creation. Despite facing significant political opposition, efforts towards disinvestment were made, eventually resulting in compromises like public-private partnerships. The decentralization of administration and restructuring of ministries aimed at promoting industrialization and economic globalization driven by the private sector at the regional level. Initiatives such as the Industrial Promotion and Development Company, with support from organizations like the International Finance Corporation, aimed to boost the private sector. Efforts towards globalization were synchronized with the establishment of an export processing zone in Chittagong, focusing on promoting private and foreign investment. Foreign investment promotion was encouraged through diplomatic efforts and legislative measures to safeguard investors. Currency devaluation was utilized to stimulate exports, along with some degree of import liberalization. The chapter convincingly argues that the groundwork for globalization, initiated under General Zia, came to fruition under General Ershad. The final empirical chapter contends that the system shifted towards globalization and deregulation in 1991. Although a severe balance of payments crisis occurred in 1989, it wasn't perceived as the sole cause of the industrial policy of 1991. The democratic uprising in 1990 led to the downfall of the military-backed government and the rise of a democratic government. The chapter argues that while economic and political changes may have been intertwined, the economic shift in 1991 was primarily driven by ideas within the state and driven by endogenous imperatives. It examines preceding periods to illustrate how the tipping mechanism might have operated, detailing the roles of top technocrats and political executives. The chapter provides insights into key policymakers and their ideas, as well as their interactions with industrialists, entrepreneurs, and representatives of multilateral organizations like the World Bank. Significant reform measures, including tariff reduction, the introduction of value-added tax, banking sector reform, and the adoption of floating exchange rates, are outcomes of the policy change. Additionally, sectors such as power, banks, and telecommunications, formerly monopolized by the public sector, are now deregulated. (shrink)

Kampus Merdeka was part of the Merdeka Belajar policy released by the Indonesian Ministry of Education, Culture, Research, and Technology (Kemendikbudristek) at the end of January 2020. This study focuses on a university program that gave students opportunities to develop skills in accordance with their talents and interests by entering the workforce right away as training for future careers. Until the middle of September 2022, 12 programs had launched. To provide a reliable reference, a comprehensive analysis of the Merdeka (...) Curriculum program was carried out in this work. We took a qualitative approach, conducting observations and interviews with fellow actors as well as a thorough analysis of pertinent databases on the related subjects. We found that active student participation and support from the university are the keys to the success of Kampus Merdeka. Furthermore, serious commitment is needed from all parties to gain a company’s trust. This study is important to gain deep insights into the Kampus Merdeka policy so that the needs of Kurikulum Merdeka can be met effectively. (shrink)

Philosophy &Public Affairs, Volume 52, Issue 1, Page 5-41, Winter 2024.

The aim of the paper is to discuss some possible connections between philosophical proposals about the social organisation of science and developments towards a greater democratisation of science policy. I suggest that there are important similarities between one approach to objectivity in philosophy of science—Helen Longino’s account of objectivity as freedom from individual biases achieved through interaction of a variety of perspectives—and some ideas about the epistemic benefits of wider representation of various groups’ perspectives in (...) class='Hi'>science policy, as analysed by Mark Brown. Given these similarities, I suggest that they allow one to approach developments in science policy as if one of their aims were epistemic improvement that can be recommended on the basis of the philosophical account; analyses of political developments inspired by these ideas about the benefits of inclusive dialogue can then be used for understanding the possibility to implement a philosophical proposal for improving the objectivity of science in practice. Outlining this suggestion, I also discuss the possibility of important differences between the developments in the two spheres and show how the concern about the possible divergence of politically motivated and epistemically motivated changes may be mitigated. In order to substantiate further the suggestion I make, I discuss one example of a development where politically motivated and epistemically motivated changes converge in practice—the development of professional ethics in American archaeology as analysed by Alison Wylie. I suggest that analysing such specific developments and getting involved with them can be one of the tasks for philosophy of science. In the concluding part of the paper I discuss how this approach to philosophy of science is related to a number of arguments about a more politically relevant philosophy of science. (shrink)

This article explores the institutionalization process of scientific organizations, with a focus on the case-study of the Laboratório Químico Municipal do Porto (LQMP). Within the context of Institutionalization Theory (IT) and framed by the history of chemistry, the LQMP’s lifecycle is examined to propose a new model for the institutionalization of scientific entities. The article reveals the dynamic interplay between historical developments in chemical science, micro-level scientific practices and macro-level societal changes, offering a comprehensive understanding of how scientific institutions (...) influence public policy and societal norms. Through the lens of IT, the article provides a nuanced exploration of the LQMP’s inception, development, and closure, shedding light on the broader implications of scientific institutionalization. This research addresses a gap in LQMP’s institutional understanding as a historical peripheral landmark in the emergence of science-based legislation. Its findings contribute to the theoretical discourse on the institutionalization of scientific practices, with implications for policy formulation on public health and food regulation. (shrink)

Science, technology, and professions form a system with strong interactions. Yet, these activities attack different kinds of problems which require different kinds of solutions. The problems that trigger scientific and technological research remain insufficiently solved or unsolved, therefore their possible solutions must be invented (i. e. they are partially or totally original) and, consequently, they should be tested against reality by researchers before considering them as true or useful. On the contrary, the problems that trigger professional inquiry are already (...) solved, or have at least some partial solution at hand that is available in the form of a technical protocol. This solution is applied with caution but without testing (i. e. the professional assumes that the solution works because it was already challenged by researchers). Moreover, science and technology tackle unsolved inverse problems, which allow the radical advancement of knowledge, and genuine innovation. A science policy based on a clear distinction between creative and routine activities (i. e. a cre- atively friendly policy) offers an opportunity for societies to reach value-added innovative economic and integral development. (shrink)

Marine ecosystems are under increasing pressure from human activity, yet successful management relies on knowledge. The evidence-based policy (EBP) approach has been promoted on the grounds that it provides greater transparency and consistency by relying on ‘high quality’ information. However, EBP also creates epistemic responsibilities. Decision-making where limited or no empirical evidence exists, such as is often the case in marine systems, creates epistemic obligations for new information acquisition. We argue that philosophical approaches can inform the science-policy (...) interface. Using marine biosecurity examples, we specifically examine the epistemic challenges in the acquisition and acceptance of evidence to inform policy, discussing epistemic due care and biases in consideration of evidence. (shrink)

Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing, and outreach. We present the steps taken with a forward-looking perspective on the challenges laying ahead, in particular the necessary change of the rewards and incentives system for researchers (...) (for which various actors are co-responsible and which goes beyond the mandate of the European Commission). Finally, we discuss the role of artificial intelligence (AI) within an open science perspective. (shrink)

In this topical section, we highlight the next step of research on modeling aiming to contribute to the emerging literature that radically refrains from approaching modeling as a scientific endeavor. Modeling surpasses “doing science” because it is frequently incorporated into decision-making processes in politics and management, i.e., areas which are not solely epistemically oriented. We do not refer to the production of models in academia for abstract or imaginary applications in practical fields, but instead highlight the real entwinement of (...) science and policy and the real erosion of their boundaries. Models in decision making – due to their strong entwinement with policy and management – are utilized differently than models in science; they are employed for different purposes and with different constraints. We claim that “being a part of decision-making” implies that models are elements of a very particular situation, in which knowledge about the present and the future is limited but dependence of decisions on the future is distinct. Emphasis on the future indicates that decisions are made about actions that have severe and lasting consequences. In these specific situations, models enable not only the acquisition of knowledge (the primary goal of science) but also enable deciding upon actions that change the course of events. As a result, there are specific ways to construct effective models and justify their results. Although some studies have explored this topic, our understanding of how models contribute to decision making outside of science remains fragmentary. This topical section aims to fill this gap in research and formulate an agenda for additional and more systematic investigations in the field. (shrink)

Faced with enormous unemployment, the South African government enacted pro-SMME policies. It was assumed that such policies would ignite broad-based growth within the SMMEs cluster, regardless of the sector. However, the current evidence suggests that these laudable efforts have not benefited the poorest of the poor nor have they aroused and sustained entrepreneurship in certain quarters. Using the spaza shop as the focus and two prominent townships as the locus, this paper sought to understand the factors that under mind the (...) effective startup of businesses by natives. Furthermore, it identified the support structures that can foster and sustain new firm births. Leaning on the exploratory and descriptive research design, the quantitative research approach was enforced through self-administered questionnaires. The data collected was captured and analysed using the Statistical Package for the Social Sciences (SPSS) software, and was based on 121 fully completed questionnaires. A number of challenges unique to native spaza shops were conceded. These included a restricted access to seed capital, inability to benefit from bulk purchases, competition from non-South African shops, lack of business information, unsuitable business location, and the lack of collateral. The customarily challenges included a high level of crime, high cost of security and limited management skills. To encourage and sustain, new firm births, firstly, spaza shop-owners must have a clear vision of what they want to achieve before they embark on the venture. Secondly, crime must be dealt with collectively. Thirdly, government agencies and the private sector must come on board to address the skills gap. Lastly, technology should be adopted, to mitigate the issues around bulk purchases and transport costs. (shrink)

Over the past few years we have seen an increasing number of legal proceedings related to inappropriately implemented technology. At the same time career paths have diverged from the foundation of statistics out to Data Scientist, Machine Learning and AI. All of these new branches being fundamentally branches of statistics and mathematics. This has meant that formal training has struggled to keep up with what is required in the plethora of new roles. Mathematics as a taught subject is still based (...) in decades old teaching specifications and has not been updated centrally as a curriculum to include new technologies, coding or ethics. This subject area is firmly split between ICT and Mathematics in secondary school, continuing on to be split between Computer Science and Mathematics at University. As we move forwards with technology we see these once seperate fields becoming increasingly intertwined. We propose that existing provision for concepts such as ethics and societal responsibility in analysis currently exist but have not been incorporated into the mainstream curriculum of School or University. This is partially due to the split between fields in an educational setting but also the speed with which education is able to keep up with Industry and its requirements. Principles and frameworks of socially responsible modelling beginning at school level means that ethics and real-life modelling are introduced much earlier than normal. Integrating these concepts with philosophical principles of society and politics ensures a suitable background for future modellers and users of technology to draw on. Modelling is currently undertaken in technical sciences at University but the Subject Benchmark Statements are not current (Subject Benchmark Statements describe the nature of study and the academic standards expected of graduates in specific subject areas. They show what graduates might reasonably be expected to know, do and understand at the end of their studies). Even in 2019 the UK did not yet have Benchmark Statements that discuss the learning to be done in Higher Education around AI and advanced Machine Learning. Where there is provision for AI and Data Science within degree courses ethics is not generally highlighted as a key concept. As such there can be a lack of focus on the teaching of modelling or ethics as specific skills. The skills required to use a basic statistical model, for example would not be sufficient to start from scratch and build an ethical model reflecting real-world scenarios with which to inform policy or organisational decision making. This is a skill in itself and includes such aspects as awareness of data quality, ethics, user implementation problems, context and an understanding of the environment that the model is being created in. As the field of analytics has progressed so quickly in the last decade modules such as those covering AI have simply been bolted on to Maths or Computing degrees rather than being fully detailed as key areas of study or driving new, more integrated courses of study. This paper posits that gaps at primary, secondary and tertiary educational levels need to be addressed. Implementing and integrating key concepts from school level is essential so that areas such as assumptions, caveats, quality assurance and answering the right questions with constructive challenge become a cultural fixture. This not only helps developers of technology but users of rapidly developing technology also. In addition, leadership and soft skills as part of this education will ensure that a cultural shift can take place and promote continuous improvement in analysis within organisations. The addition of key concepts throughout the educational system and the updating of potentially outdated curriculums is key to ensuring a functional society. A society where every citizen is a user of tech and those that develop it can be ethical and socially responsible in its development. (shrink)

Drawing on the SAGE minutes and other documents, I consider the wider lessons for norms of scientific advising that can be learned from the UK’s initial response to coronavirus in the period January-March 2020, when an initial strategy that planned to avoid total suppression of transmission was abruptly replaced by an aggressive suppression strategy. I introduce a distinction between “normatively light advice”, in which no specific policy option is recommended, and “normatively heavy advice” that does make an explicit recommendation. (...) I argue that, although scientific advisers should avoid normatively heavy advice in normal times in order to facilitate democratic accountability, this norm can be permissibly overridden in situations of grave emergency. SAGE’s major mistake in early 2020 was not that of endorsing a particular strategy, nor that of being insufficiently precautionary, but that of relying too heavily on a specific set of “reasonable worst-case” planning assumptions. I formulate some proposals that assign a more circumscribed role to “worst-case” thinking in emergency planning. In an epilogue, I consider what the implications of my proposals would have been for the UK’s response to the “second wave” of late 2020. (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)

Vietnam, with a geographical proximity and a high volume of trade with China, was the first country to record an outbreak of the new Coronavirus disease (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 or SARS-CoV-2. While the country was expected to have a high risk of transmission, as of April 4, 2020—in comparison to attempts to contain the disease around the world—responses from Vietnam are being seen as prompt and effective in protecting the interests of its citizens, (...) with 239 confirmed cases and no fatalities. This study analyzes the situation in terms of Vietnam’s policy response, social media and science journalism. A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items. The findings shed light on how Vietnam—despite being under-resourced—has demonstrated political readiness to combat the emerging pandemic since the earliest days. Timely communication on any developments of the outbreak from the government and the media, combined with up-to-date research on the new virus by the Vietnamese science community, have altogether provided reliable sources of information. By emphasizing the need for immediate and genuine cooperation between government, civil society and private individuals, the case study offers valuable lessons for other nations concerning not only the concurrent fight against the COVID-19 pandemic but also the overall responses to a public health crisis. (shrink)

Generalisation, universal knowledge claims, and recommendations within disaster studies are problematic because they lead to miscommunication and the misapplication of actionable knowledge. The consequences and impacts thereof are not often considered by experts; forgone as irrelevant to the academic division of labour. There is a disconnect between expert assertions for disaster risk reduction (DRR) and their practical suitability for laypersons. Experts currently assert independently of the context within which protective action measures (PAMs) are to be used, measures unconnected to the (...) people for whom they are developed. This has knock-on effects for DRR: much expert-generated science and policy remains unused, unimplemented, and sometimes misapplied. I use philosophical accounts of assertion and epistemic blame to highlight the epistemic relationship between experts and laypersons. This relationship includes responsibilities and agreements between epistemic agents. Since multilevel DRR knowledge still transfers top-down from experts to laypersons, if experts impair the epistemic relationship, they can be held epistemically blameworthy. To address the pervasiveness of top-down systems, I analyse the epistemic framings and narratives currently shaping DRR, and more specifically PAMs and campaigns. I deconstruct universal perspectives that dominate the epistemic processes of generating, disseminating, and implementing DRR knowledge and specifically for co-seismic landslide PAMs for Nepal. I argue for more inclusive, contextual, and epistemically responsible DRR. Co-production of knowledge should begin from the standpoints of marginalised persons who may have an epistemic advantage due to their socio-politically marginalised positions. Often these epistemic contributions are left out of DRR efforts because marginalised persons are rarely afforded equal, if any, epistemic agency, which results in epistemic gaps and a large pool of relevant knowledge remaining unincorporated and unused in DRR research and policy. (shrink)

This paper examines how science advice can provide policy recommendations in a trustworthy manner. Despite their major political importance, expert recommendations are understudied in the philosophy of science and social epistemology. Matthew Bennett has recently developed a notion of what he calls recommendation trust, according to which well-placed trust in experts’ policy recommendations requires that recommendations are aligned with the interests of the trust-giver. While interest alignment might be central to some cases of public trust, this (...) paper argues against the significance of interest-alignment to meritorious public trust. First, political bodies and citizens can have a basic kind of well-placed recommendation trust in science advice based on an all-things-considered judgement regarding the possession of relevant competencies, responsible conduct, and a proper institutional design. Moreover, scientists’ policy recommendations can be seen as open-ended and as dynamic proposals that enable inter-institutional reasoning and political deliberation. Finally, by providing conditional recommendations, scientists can expand the scope of feasible policy options from which political bodies can choose, thus making the condition of interest alignment even less significant to the trustworthy provision of recommendations. (shrink)

Scientific information plays an important role in shaping policies and recommendations for behaviors that are meant to improve the overall health and well-being of the public. However, a subset of the population does not trust information from scientific authorities, and even for those that do trust it, information alone is often not enough to motivate action. Feelings of shame can be motivational, and thus some recent public policies have attempted to leverage shame to motivate the public to act in accordance (...) with science-based recommendations. We argue that because these shame policies are employed in non-communal contexts, they are both practically ineffective and morally problematic: shame is unlikely to be effective at motivating the public to behave in accordance with science-based policy, and shaming citizens is an unethical way to get them to comply. We argue that shame-based policies are likely to contribute to further distrust in scientific authority. (shrink)

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a ‘good (...) AI society’; the role and responsibility of the government, the private sector, and the research community in pursuing such a development; and where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a ‘good AI society’. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach. (shrink)

The idea of artificial intelligence for social good is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are (...) essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good. (shrink)

This policy brief explores important trends for the future of science for policy in Europe and the challenges and opportunities that they present for the development of science for policy ecosystems in the European Union. On the background of an increasing prominence of science in public debates and an increasing willingness of governments to mobilize scientific advice, the policy brief explores trends that shape the practices and processes of information exchange between knowledge actors (...) and policy-makers with the intention to produce scientifically informed policies in Europe, and frame important challenges and opportunities for science for policy ecosystems in the EU. (shrink)

Philosophy of science is showing an increasing interest in the social aspects and the social organisation of science—the ways social values and social interactions and structures play a role in the creation of knowledge and the ways this role should be taken into account in the organisation of science and science policy. My thesis explores a number of issues related to this theme. I argue that a prominent approach to the social organisation of science—Philip (...) Kitcher’s well-ordered science—runs into a number of problems. They undermine its philosophical plausibility and practical usefulness. I agree with Kitcher that arguments about the social organisation of science should recognise profound societal consequences of science. Kitcher argues that the appropriate organisation of science should therefore take into account laypersons’ values and needs when making decisions concerning research planning, evaluation and application. My criticisms show that this is not enough. Drawing on Helen Longino ideas, I argue that laypersons’ perspectives and knowledge may also be relevant when doing research. In order to show how more inclusive research practices may be possible, I discuss connections between philosophy of science and some developments in science policy, which has also recently shown considerable interest in democratic participation. I demonstrate how public participation experiments in science policy may sometimes be close enough to what the philosopher would recommend. Their analysis can thus be helpful for understanding how societal developments may provide opportunities for the involvement of laypersons in science and what factors may endanger its success. I conclude that a way to pursue a more socially relevant philosophy of science is to focus on the points of contact and possibilities of cooperation between philosophical proposals and these public participation initiatives. (shrink)

Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these questions. This report (...) sets out some possible approaches, and describes some of the ways government is already engaging with these issues. (shrink)

Development in all of its stages, from organizing the vision and strategy to implementing plans, requires policy-making. We show that the division of labor and specialization of sciences and some philosophical doctrines cause the emergence of technocracy in policies. Technocracy makes development not happen in the direction of public welfare. For this reason, for sustainable development, we need institutions, strategies, and philosophical contexts that provide a democratic ground for the possibility of criticizing and reforming policies.

This book consolidates emerging research on Aristotle's science and ethics in order to explore the extent to which the concepts, methods, and practices he developed for scientific inquiry and explanation are used to investigate moral phenomena. Each chapter shows, in a different way, that Aristotle's ethics is much more like a science than it is typically represented. The upshot of this is twofold. First, uncovering the links between Aristotle's science and ethics promises to open up new and (...) innovative directions for research into his moral philosophy. Second, showing why Aristotle thinks ethics can never be fully assimilated to the model of science will help shed new light on his views about the limits of science. The volume thus promises to make a significant contribution to our understanding of the epistemological, metaphysical, and psychological foundations of Aristotle's ethics. (shrink)

The UK has been ‘following the science’ in response to the COVID-19 pandemic in line with the national framework for the use of scientific advice in assessment of risk. We argue that the way in which it does so is unsatisfactory in two important respects. Firstly, pandemic policy making is not based on a comprehensive assessment of policy impacts. And secondly, the focus on reasonable worst-case scenarios as a way of managing uncertainty results in a loss of (...) decision-relevant information and does not provide a coherent basis for policy making. (shrink)

Kevin Elliott and others separate two common arguments for the legitimacy of societal values in scientific reasoning as the gap and the error arguments. This article poses two questions: How are these two arguments related, and what can we learn from their interrelation? I contend that we can better understand the error argument as nested within the gap because the error is a limited case of the gap with narrower features. Furthermore, this nestedness provides philosophers with conceptual tools for analyzing (...) more robustly how values pervade science. (shrink)

In March 2016, an interdisciplinary group met for two days and two evenings to explore the implications for policy making of second-order science. The event was sponsored by SITRA, the Finnish Parliament's Innovation Fund. Their interest arose from their concern that the well-established ways, including evidence-based approaches, of policy and decision making used in government were increasingly falling short of the complexity, uncertainty, and urgency of needed decision making. There was no assumption that second-order science or (...) second-order cybernetics would reveal any practical possibilities at this early stage of enquiry. On the other hand, some members of the group are practioners in both policy and in facilitating change in sectors of society. Thus, the intellectual concepts were strongly grounded in experience. This is an account of the deliberations of that group and some reflections on what came out of the various shared contributions and ensuing dialogues. The overall conclusion of the event is that there definitely are possibilities that are worthy of further research and exploration. (shrink)

We report the results of an exploratory study that examines the judgments of climate scientists, climate policy experts, astrophysicists, and non-experts (N = 3367) about the factors that contribute to the creation and persistence of disagreement within climate science and astrophysics and about how one should respond to expert disagreement. We found that, as compared to non-experts, climate experts believe that within climate science (i) there is less disagreement about climate change, (ii) methodological factors play less of (...) a role in generating disagreements, (iii) fewer personal or institutional biases influence climate research, and (iv) there is more agreement about which methods should be used to examine relevant phenomena we also observed that the uniquely American political context predicted experts’ judgments about some of these factors. We also found that, in regard to disagreements concerning cosmic ray physics, and commensurate with the greater inherent uncertainty and data lacunae in their field, astrophysicists working on cosmic rays were generally more willing to acknowledge expert disagreement, more open to the idea that a set of data can have multiple valid interpretations, and generally less quick to dismiss someone articulating a non-standard view as non-expert, than climate scientists were in regard to climate science. (shrink)

The essay proceeds from the assumptions that for a economic/political integration group to succeed, first, its participants’ motives should ideally be as alike as possible and not oppose one another and, second, their expectations from integration should correspond to the organisation’s capabilities. In light of these assumptions, the study endeavours to assess the Eurasian Economic Union’s (EAEU) potential for stability and development. First, the author analyses the key motives that were driving its member states’ decisions to enter the organisation, compares (...) them with one another and discusses how the countries’ motives influence their conduct in the union. Second, the author confronts those motives against the EAEU’s activities and the general logic of interstate politics on the post-Soviet space to reckon up whether the bloc’s capabilities fit with the expectations of its member countries. Finally, based on that discussion, the author speculates on how the divergence/convergence of EAEU member states’ goals, as well as the (in-)feasibility of their expectations, affect the organisation’s development. (shrink)

This study explores the role of government policies, public-private partnerships, and emerging technologies in bridging the digital divide, ensuring inclusive and equitable access to quality education for all students. By analyzing case studies and statistical data, this research identifies key areas where the EdTech revolution can be leveraged to close gaps in the education system while fostering innovation in pedagogical practices. Finally, the paper presents recommendations for ensuring that the EdTech revolution contributes to systemic equity, rather than exacerbating existing disparities.

This study explores the role of government policies, public-private partnerships, and emerging technologies in bridging the digital divide, ensuring inclusive and equitable access to quality education for all students. By analyzing case studies and statistical data, this research identifies key areas where the EdTech revolution can be leveraged to close gaps in the education system while fostering innovation in pedagogical practices. Finally, the paper presents recommendations for ensuring that the EdTech revolution contributes to systemic equity, rather than exacerbating existing disparities.

COVID19 pandemic has clarified that public health policies are central for the future of human societies from several perspectives. As a matter of fact, they are based on certain premises that are practical-political (e.g., ensuring the health of citizens), moral (e.g., health is a value), or epistemological (e.g., certain ideas concerning expertise and shared knowledge). Indeed, effective policies require first and foremost not only to be based on reliable data and models (i.e., so-called evidence-based policy) but also to ensure (...) that these policies are democratically accepted, shared (e.g., considering both cognitive and social dimensions), and hopefully formed after a deliberative process involving experts from various fields alongside citizens. (shrink)

Kitcher has proposed an ideal-theory account—well-ordered science (WOS)— of the collective good that science’s research agenda should promote. Against criticism regarding WOS’s action-guidance, Kitcher has advised critics not to confuse substantive ideals and the ways to arrive at them, and he has defended WOS as a necessary and useful ideal for science policy. I provide a distinction between two types of ideal-theories that helps clarifying WOS’s elusive nature. I use this distinction to argue that the action-guidance (...) problem that WOS faces remains even under the aims/means distinction, because the WOS’s failure is more basic than critics have suggested. (shrink)

Background: The attitudes of many undergraduates towards practicum exercise is declining in each passing year, affecting the quality of educational leaders produced from higher education. Studies in the past, have documented that there is no significant difference in the attitudes of students with or without practicum experience towards academic activities in higher education. Little or nothing seems to be known at the moment regarding the reasons why there is an indifference in the attitudes of students after completing a practicum course. (...) In response to this gap, we designed this study to assess principals' leadership variables as the presumed cause of undergraduates' declining attitudes towards practicum exercise in secondary schools. -/- Methods: A census study was carried out in Cross River State, where the entire 667 secondary school administrators (271 principals and 396 vice principals) were studied. “Principals’ Leadership Variables and Undergraduates’ Attitudes Towards Practicum Exercise Questionnaire” (PLVUATPEQ), designed by the researchers, was used in data collection. Data collected were analysed using simple linear regression analysis. Results: We find amongst others, that principals’ leadership styles, communication patterns, decision-making and supervisory approaches significantly predict undergraduates' attitudes towards practicum exercise relatively. Each of these independent variables accounts differently for the variance in the dependent variable based on their unique coefficient of determination. -/- Conclusion: It was concluded generally, that principals’ leadership variables significantly predict undergraduates’ attitudes towards practicum exercise. The attitudes of undergraduates towards practicum exercise increases as the leadership styles, communication patterns, decision-making skills, and supervisory approaches of principals improve. The implications of this study are discussed for policy and educational reforms. (shrink)

From the outset, critical social theory has sought to diagnose people’s participation in their own oppression, by revealing the roots of irrational and self-undermining choices in the complex interplay between human nature, social structures, and cultural beliefs. As part of this project, Ideologiekritik has aimed to expose faulty conceptions of this interplay, so that the objectively pathological character of what people are “freely” choosing could come more clearly into view. The challenge, however, has always been to find a way of (...) doing this without arrogantly assuming special access to what is good for people. And this danger of paternalism is one to which social theorists have all too often fallen prey. In this brief essay, I focus on contemporary instances of clearly self-defeating behavior in contexts of complex choices. I begin by discussing a recent attempt to diagnose and solve these failures of choices, namely the public policy recommendations of behavioral economist Richard Thaler and reform-minded legal theorist Cass Sunstein. Their influential “libertarian paternalist” approach is particularly interesting, both in what it includes (attention to the socially constructed nature of choice situations and the roots of the problems in human nature) and in what it leaves out (an understanding of the social construction of human nature and an adequate appreciation of the value of autonomy). After discussing it, I consider a broadly perfectionist alternative, to the effect that the problem lies in a failure to adequately appreciate the importance of developing autonomy. I then turn to sketching the outlines of a new approach, based on the concept of “autonomy gaps,” which approaches overly demanding policies in relational and action-theoretical terms. In the final section, I show how this provides the basis for an analysis both in terms of a critique of ideology and of social pathology. (shrink)

The paper is an attempt to analyse the benefits that remote work could bring in the development of the country. It is organized in three parts. In the first part it engages with the concept of public policy, how it is shaped and should be done to make visible problems that need to be addressed. The second part analysis the benefits of teleworking and potential models for city organization and population distribution to support country development. The last part analyses (...) the case of Albania to discover that remote work, demography, and country development are concepts not yet analyzed in connection for exploring the benefits they could bring. The paper concludes that government should invest in developing human resources in the field of digitalization, so that the number of employees who could telework and companies that could use that expertise is increased. In this way, companies and staff do not necessarily need to locate in the capital or big cities but could locate in medium size cities and periphery. This would contribute to the development of currently neglected areas and decrease living expenses in big cities, making thus more affordable the life for the low-income workers. In doing so, not only the living conditions will improve but the gap between centre and periphery will narrow down and lead to a better distribution of economic benefits across country. (shrink)

In this interview, Robert Goodin discusses some of the main issues he has tackled in his work, with a particular focus on the relation between political theory and political science, and the challenges and benefits of an interdisciplinary approach for political philosophers.

Robotization is an increasingly pervasive feature of our lives. Robots with high degrees of autonomy may cause harm, yet in sufciently complex systems neither the robots nor the human developers may be candidates for moral blame. John Danaher has recently argued that this may lead to a retribution gap, where the human desire for retribution faces a lack of appropriate subjects for retributive blame. The potential social and moral implications of a retribution gap are considerable. I argue that the retributive (...) intuitions that feed into retribution gaps are best understood as deontological intuitions. I apply a debunking argument for deontological intuitions in order to show that retributive intuitions cannot be used to justify retributive punishment in cases of robot harm without clear candidates for blame. The fundamental moral question thus becomes what we ought to do with these retributive intuitions, given that they do not justify retribution. I draw a parallel from recent work on implicit biases to make a case for taking moral responsibility for retributive intuitions. In the same way that we can exert some form of control over our unwanted implicit biases, we can and should do so for unjustifed retributive intuitions in cases of robot harm. (shrink)

Considering public moral attitudes is a hallmark of the anticipatory governance of emerging biotechnologies, such as heritable human genome editing. However, such anticipatory governance often overlooks that future morality is open to change and that future generations may perform different moral assessments on the very biotechnologies we are trying to govern in the present. In this article, we identify an ’anticipatory gap’ that has not been sufficiently addressed in the discussion on the public governance of heritable genome editing, namely, uncertainty (...) about the moral visions of future generations about the emerging applications that we are currently attempting to govern now. This paper motivates the relevance of this anticipatory gap, identifying the challenges it generates and offering various recommendations so that moral uncertainty does not lead to governance paralysis with regard to human germline genome editing. (shrink)

Hot-cold empathy gaps are a pervasive phenomena wherein one’s predictions about others tend to skew ‘in the direction’ of one’s own current visceral states. For instance, when one predicts how hungry someone else is, one’s prediction will tend to reflect one’s own current hunger state. These gaps also obtain intrapersonally, when one attempts to predict what one oneself would do at a different time. In this paper, we do three things: We draw on empirical evidence to argue that so-called hot-cold (...) empathy gaps arise when one projects one’s own current state into a simulation about another. Second, we argue that this process does not typically confer knowledge, even when the predictions it produces happen to be accurate. Third, we suggest that these results can be used to develop a challenge for L.A. Paul's view that authentic action sometimes requires subjective knowledge of one’s own values and how these values relate to relevant outcomes. We then sketch an alternative view of the epistemic grounds of authenticity, one on which authenticity requires a kind of understanding. The relevant form of understanding can be achieved by subjective knowledge but can also be achieved elsewise, such as through testimony from a close friend about what one values. (shrink)

The paper addresses two difficulties that arise in Treatise 1.2.5. First, Hume appears to be inconsistent when he denies that we have an idea of a vacuum or empty space yet allows for the idea of an “invisible and intangible distance.” My solution to this difficulty is to develop the overlooked possibility that Hume does not take the invisible and intangible distance to be a distance at all. Second, although Hume denies that we have an idea of a vacuum, some (...) texts in Treatise 1.2.5 are taken by interpreters to suggest that Hume nonetheless believes that there are vacuums in nature. I discuss the relevant texts and defend the view that Hume does not in fact countenance belief in vacuums. I conclude by outlining an interpretation of Hume’s intention in the Treatise that allows us to understand his discussion of ideas as having implications for the sciences. (shrink)

This article offers a normative analysis of some of the most controversial incidents involving police—what I call police-generated killings. In these cases, bad police tactics create a situation where deadly force becomes necessary, becomes perceived as necessary, or occurs unintentionally. Police deserve blame for such killings because they choose tactics that unnecessarily raise the risk of deadly force, thus violating their obligation to prioritize the protection of life. Since current law in the United States fails to ban many bad tactics, (...) police- generated killings often are treated as “lawful but awful.” To address these killings, some call on changes to departmental policies or voluntary reparations by local governments, yet such measures leave in place a troubling gap between ethics and law. I argue that police-generated killings merit legal sanctions by appealing to a relevant analogy: self-generated self-defense, where the person who engages in self-defense started the trouble. The persistent lack of accountability for police-generated killings threatens life, police legitimacy, and trust in democratic institutions. The article closes by identifying tools in law and policy to address this challenge. (shrink)