In a series of ten preregistered experiments (N=2043), we investigate the effect of outcome valence on judgments of probability, negligence, and culpability – a phenomenon sometimes labelled moral (and legal) luck. We found that harmful outcomes, when contrasted with neutral outcomes, lead to increased perceived probability of harm ex post, and consequently to increased attribution of negligence and culpability. Rather than simply postulating a hindsight bias (as is common), we employ a variety of empirical means to demonstrate that (...) the outcome-driven asymmetry across perceived probabilities constitutes a systematic cognitive distortion. We then explore three distinct strategies to alleviate the hindsight bias and its downstream effects on mens rea and culpability ascriptions. Not all are successful, but at least some prove promising. They should, we argue, be taken into consideration in criminal jurisprudence, where distortions due to the hindsight bias are likely considerable and deeply disconcerting. (shrink)

Abstract: Lotteries have long been a source of fascination and intrigue, offering the tantalizing prospect of unexpected fortunes. In this research paper, we delve into the world of lottery predictions, employing cutting-edge AI techniques to unlock the secrets of lottery outcomes. Our dataset, obtained from Kaggle, comprises historical lottery draws, and our goal is to develop predictive models that can anticipate future winning numbers. This study explores the use of deep learning and time series analysis to achieve this elusive (...) feat. Through rigorous experimentation and data-driven approaches, we seek to determine the viability of AI in the realm of lottery predictions. Our findings reveal both the promise and limitations of AI in this context, shedding light on the complexities of lottery data and the potential need for quantum computing as a last resort. (shrink)

Previous research has assessed school facilities, administrative expenditures and curriculum and their relative contributions to students’ cognitive learning outcomes. This suggested the need to investigate further how these predictors may impact students’ affective and psychomotor outcomes. The current research studied the combined and relative prediction of school facilities, administrative expenses and curriculum on students’ overall cognitive, affective and psychomotor learning outcomes in public secondary schools. A cross-sectional research design was employed in this study, involving 87 school administrators (...) and a randomly selected group of 915 senior secondary class II (SS2) students. For data collection, we utilised the School Inputs Questionnaire (SIQ) and Educational Outcomes Questionnaire (EOQ), both developed by the researchers and validated through expert assessments, including content validity, Exploratory Factor Analysis (EFA) for dimensionality, Confirmatory Factor Analysis (CFA) for goodness of fit, and reliability using Cronbach's alpha. The results of these assessments demonstrated acceptable outcomes aligned with international standards. Hierarchical regression analysis was conducted to analyse the collected data. The findings indicated that enhancing the provision of quality school facilities, administrative expenses, and school curricula improved students' overall cognitive, affective, and psychomotor learning outcomes. Specifically, administrative expenses and school curriculum had significant predictive power for students’ overall cognitive, affective, and psychomotor learning outcomes. However, while school facilities significantly predicted students' overall, affective, and psychomotor dimensions, they did not significantly predict the cognitive dimension. These findings offer valuable insights for policymakers and educators aiming to enhance the educational quality in public secondary schools. (shrink)

In this paper, I examine why moral exemplars are useful and even necessary in moral education despite several critiques from researchers and educators. To support my point, I review recent AI research demonstrating that exemplar-based learning is superior to rule-based learning in model performance in training neural networks, such as large language models. I particularly focus on why education aiming at promoting the development of multifaceted moral functioning can be done effectively by using exemplars, which is similar to exemplar-based learning (...) in AI model training. Furthermore, I discuss the potential limitations and issues related to exemplar-applied moral education with findings from recent studies in AI research raising concerns about model biases and toxic outcomes. I attempt to propose ways to address the concerns regarding employing moral exemplars as well. As remedies, I suggest that autonomy-supporting deliberative and reflective learning processes should be utilized. Furthermore, based on the discussion, I examine how macroscopic socio-cultural aspects influence the effectiveness of exemplar-applied moral education. Suggestions for moral educators and future directions for research in moral education are briefly discussed. (shrink)

United Nations’ Sustainable Development Goals 4 Quality Education has highlighted major challenges for all nations to ensure inclusive and equitable quality access to education, facilities for children, and young adults. The SDG4 is even more important for developing nations as receiving proper education or vocational training, especially in science and technology, means a foundational step in improving other aspects of their citizens’ lives. However, the extant scientific literature about STEM education still lacks focus on developing countries, even more so in (...) the rural area. Using a dataset of 4967 observations of junior high school students from a rural area in a transition economy, the article employs the Bayesian approach to identify the interaction between gender, socioeconomic status, and students’ STEM academic achievements. The results report gender has little association with STEM academic achievements; however, female students (αa_Sex[2] = 2.83) appear to have achieved better results than their male counterparts (αa_Sex[1] = 2.68). Families with better economic status, parents with a high level of education (βb(EduMot) = 0.07), or non-manual jobs (αa_SexPJ[4] = 3.25) are found to be correlated with better study results. On the contrary, students with zero (βb(OnlyChi) = -0.14) or more than two siblings (βb(NumberofChi) = -0.01) are correlated with lower study results compared to those with only one sibling. These results imply the importance of providing women with opportunities for better education. Policymakers should also consider maintaining family size so the parents can provide their resources to each child equally. (shrink)

Educational institutions strive to produce graduates who are competent and competitive both domestically and globally. This graduate tracer study investigated the employment outcomes of graduates from the College of Teacher Education (CTE) and Graduate School (GS) Programs from SY 2016-2022. Data collection methods included Google forms, surveys, and phone calls. Of the 2846 CTE graduates, 2491 (87.75%) were traced, and of the 659 GS graduates, 550 (83.45%) were traced. Findings revealed that CTE graduates were predominantly single females aged (...) 24 or younger, who typically began working as permanent teachers at the Department of Education (DepEd) 2-3 years post-graduation, earning a base salary of P15,000–25,000. They generally served in these roles for 4-6 years. Conversely, GS alumni were primarily married men in their 30s, employed in permanent supervisory or managerial roles at DepEd, with monthly earnings between P25,000 and P50,000. Graduates reported that their university degrees were economically relevant and provided significant financial advantages. CTE graduates indicated that job satisfaction was more influenced by workplace interactions and environment than salary. The study suggests enhancing the use of social media to encourage graduate participation in tracer studies and recommends ongoing professional development for faculty to improve educational programs and prepare graduates with highly employable skills. Addressing job satisfaction disparities may require targeted interventions to improve educational programs, expand career development opportunities, and foster supportive work cultures tailored to each graduating class's needs. (shrink)

The present study examines how online instruction during the COVID pandemic impacted learning and performs a partial replication of a study by Hahn et al. (2012), which compared students’ testing outcomes of the Major Field Test in Business (MFTB) and the Comprehensive Business Exam (CBE). Our results find that online instruction during the 2020-2021 pandemic isolation period had no significant impact on pre- and post-COVID testing outcomes for either exam. It was further found that the question set employed (...) by the CBE exam appears to have changed from the pre- to the post-COVID testing timeframes, making this exam questionable for assurance of learning purposes when compared to prior year results. (shrink)

Learner-centered approaches have emerged as the fundamental pillar of effective pedagogy in the rapidly evolving landscape of 21st century education. This paradigm shift places the learner at the heart of the educational process, recognizing their diverse needs and aspirations. Consequently, the achievements of learners have become crucial indicators of institutional success. While extensive research has focused on student affairs and services, limited attention has been given to understanding the impact of administration on realizing the objectives of these support systems. This (...) study aims to investigate the relationship between the administration of learner-centered academic support systems and the attainment of desired outcomes in student affairs and services within higher education institutions in the Philippines. Utilizing a non-experimental correlational quantitative research design, a sample of three hundred fifty university students from various academic disciplines was randomly selected as participants. The findings demonstrate a strong positive correlation between the administration of learner-centered academic support systems and the achievement of desired outcomes in student affairs and services. As a result, the null hypothesis was rejected based on statistical analysis employing Pearson Correlation (r). These findings highlight the significant impact that learner-centered academic support system administration has on the realization of objectives in student affairs and services within the contemporary higher educational setting. To ensure sustained best practices in student development, it is imperative for the administration to foster collaboration with internal stakeholders and external partners. Recognizing that students are the focal point of instruction, their performance serves as a reflection of the institution’s commitment to providing quality education. By aligning administrative efforts with the evolving needs of students, institutions can enhance student affairs and services and create an optimal learning environment in the 21st century. (shrink)

This study assessed students’ perception of teachers’ effectiveness and learning outcomes in mathematics and economics in secondary schools of Cross River State, Nigeria. Two null hypotheses were formulated to direct the study. The factorial research design was adopted for the study. Cluster and purposive sampling techniques were however employed in selecting a sample of 1,800 students from the three education zones in Cross River State. “Students’ Perception of Teachers Effectiveness Questionnaire (SPTEQ)”, Mathematics Achievement Test (MAT), and Economics Achievement Test (...) (EAT) were used as instruments for data collection. Reliability estimates of .86, .91, and .81 were obtained for the three instruments using Cronbach alpha. Collected data were analysed using descriptive statistics while the research question was answered and the null hypothesis tested using Pearson Correlation matrix and multiple regression analyses (where applicable), with the aid of Minitab v18. Findings revealed amongst others that, there is a significant composite influence of students’ perception of teachers’ motivational skills, teaching methods, relationship with students, and communication level on learning outcomes in Mathematics (F = 142.46, p < .05) and Economics (F = 150.31, p < .05) respectively. It was recommended amongst others that secondary school teachers should adopt motivational techniques such as praises, rewards, and smiles, in strengthening the interest of learners during mathematics and Economics lessons. Keywords:. (shrink)

The issue of leadership styles used by school heads and the academic performance of students has recently attracted the attention of the general public and people are exerting energies into research to find its courses and effects. Nkoranza-North district is selected as a result of the fact that the researcher works there and the districts also have two senior high schools for the study. Primarily, the study was to find out the courses and impact of leadership styles on teaching and (...) learning outcomes in the Nkoranza-North district. The study covered a sample size of sixty (60) people comprises of Headmasters, selected teachers and selected students of the two. The researcher employed the descriptive method, while interview schedule and questionnaire were used to gather the information. Frequency and percentage were used to analyse the data. The study also looks at the various leadership styles employed by leaders some of which are Autocratic, Democratic and Laissez-faire. The findings of the study are discussed, conclusion draw and recommendations made. (shrink)

The tracer study for the Bachelor of Science in Business Administration (BSBA) degree with Business Economics (BE), Financial Management (FM), Human Resource Management (HRM), and Marketing Management (MM) of the School of Business Administration (SBA) tracks and gathers information about the career outcomes and experiences of graduates of the degree program. This study focuses on determining the employment opportunities pursued by the graduates of 2018–2022, as well as exploring the influence their education from the SBA of San Isidro (...) College (SIC) has had on their careers. Through this tracer study, valuable insight has been gained into the effectiveness of the SBA's BSBA program offered by SIC and its graduates' overall success and impact in the job market. The lack of respondents in the BE major suggests a need to revisit and modify the curriculum and marketing efforts to generate more interest among potential students. The FM, HRM, and MM major should be capitalized and sustained to maintain the positive momentum. The study's findings show a mix of employment outcomes for graduates, with opportunities for both early career growth and long-term employment. The program equips graduates with a diverse skillset for various job levels and industries. Most graduates find employment within the province, implying effectiveness in equipping them with the necessary skills. However, the distribution of salaries suggests potential issues with the job market or degree value, requiring further investigation. The program has successfully developed graduates with communication, human relations, and entrepreneurial skills but may need improvement in marketing management, problem-solving, and critical thinking. The study concludes that graduates have higher communication skills but lower problem-solving and critical thinking skills, emphasizing the need for curriculum modifications and additional support to improve overall skills. (shrink)

Racial disparities in health outcomes have recently become a flashpoint in the debate about the value of race as a biological concept. What role, if any, race has in the etiology of disease is a philosophically and scientifically contested topic. In this article, I expand on the insights of the new mechanistic philosophy of science to defend a mechanism discovery approach to investigating epidemiological racial disparities. The mechanism discovery approach has explanatory virtues lacking in the populational approach typically employed (...) in the study of race and biomedicine. The explanatory constraints that form an integral part of the new mechanistic approach enable mechanism discovery to avoid the epistemic and normative shortcomings of the populational approach. The methodology of mechanism discovery can fruitfully be extended to the treatment and reversal of epidemiological racial disparities. (shrink)

This paper employs some outcomes (for the most part due to David Lewis) of the contemporary debate on the metaphysics of dispositions to evaluate those dispositional analyses of meaning that make use of the concept of a disposition in ideal conditions. The first section of the paper explains why one may find appealing the notion of an ideal-condition dispositional analysis of meaning and argues that Saul Kripke’s well-known argument against such analyses is wanting. The second section focuses on Lewis’ (...) work in the metaphysics of dispositions in order to call attention to some intuitions about the nature of dispositions that we all seem to share. In particular, I stress the role of what I call "Actuality Constraint". The third section of the paper maintains that the Actuality Constraint can be used to show that the dispositions with which ideal-condition dispositional analyses identify my meaning addition by "+" do not exist (in so doing, I develop a suggestion put forward by Paul Boghossian). This immediately implies that ideal-condition dispositional analyses of meaning cannot work. The last section discusses a possible objection to my argument. The point of the objection is that the argument depends on an illicit assumption. I show (1) that, in fact, the assumption in question is far from illicit and (2) that even without this assumption it is possible to argue that the dispositions with which ideal-condition dispositional analyses identify my meaning addition by "+" do not exist. (shrink)

This research employs the Bayesian network modeling approach, and the Markov chain Monte Carlo technique, to learn about the role of lies and violence in teachings of major religions, using a unique dataset extracted from long-standing Vietnamese folktales. The results indicate that, although lying and violent acts augur negative consequences for those who commit them, their associations with core religious values diverge in the final outcome for the folktale characters. Lying that serves a religious mission of either Confucianism or Taoism (...) (but not Buddhism) brings a positive outcome to a character (βT_and_Lie_O= 2.23; βC_and_Lie_O= 1.47; βT_and_Lie_O= 2.23). A violent act committed to serving Buddhist missions results in a happy ending for the committer (βB_and_Viol_O= 2.55). What is highlighted here is a glaring double standard in the interpretation and practice of the three teachings: the very virtuous outcomes being preached, whether that be compassion and meditation in Buddhism, societal order in Confucianism, or natural harmony in Taoism, appear to accommodate two universal vices—violence in Buddhism and lying in the latter two. These findings contribute to a host of studies aimed at making sense of contradictory human behaviors, adding the role of religious teachings in addition to cognition in belief maintenance and motivated reasoning in discounting counterargument. (shrink)

Abstract: Colon cancer is a prevalent and life-threatening disease, necessitating accurate and timely diagnosis for effective treatment and improved patient outcomes. This research paper presents the development of a knowledge-based system for diagnosing colon cancer using the CLIPS language. Knowledge-based systems offer the potential to assist healthcare professionals in making informed diagnoses by leveraging expert knowledge and reasoning mechanisms. The methodology involves acquiring and structuring medical knowledge specific to colon cancer, followed by the implementation of a knowledge- based system (...) using CLIPS. The system's design integrates relevant medical databases and employs advanced reasoning mechanisms to facilitate accurate diagnosis. Evaluation results demonstrate the system's effectiveness, with high accuracy and sensitivity rates compared to existing methods. The findings highlight the potential of knowledge-based systems in improving clinical practice and patient care. The research contributes to the growing field of medical informatics by demonstrating the feasibility and effectiveness of CLIPS-based knowledge systems for colon cancer diagnosis. Future research can focus on enhancing system performance and expanding its scope to encompass other types of cancer diagnoses. (shrink)

Patients with serious illnesses or injuries may decide to quit their medical treatment if they think paying the fees will put their families into destitution. Without treatment, it is likely that fatal outcomes will soon follow. We call this phenomenon “near-suicide”. This study attempted to explore this phenomenon by examining how the seriousness of the patient’s illness or injury and the subjective evaluation of the patient’s and family’s financial situation after paying treatment fees affect the final decision on the (...) treatment process. Bayesian Mindsponge Framework (BMF) analytics were employed to analyze a dataset of 1042 Vietnamese patients. We found that the more serious the illnesses or injuries of patients were, the more likely they were to choose to quit treatment if they perceived that paying the treatment fees heavily affected their families’ financial status. Particularly, only one in four patients with the most serious health issues who thought that continuing the treatment would push themselves and their families into destitution would decide to continue the treatment. Considering the information-filtering mechanism using subjective cost–benefit judgments, these patients likely chose the financial well-being and future of their family members over their individual suffering and inevitable death. Our study also demonstrates that mindsponge-based reasoning and BMF analytics can be effective in designing and processing health data for studying extreme psychosocial phenomena. Moreover, we suggest that policymakers implement and adjust their policies (e.g., health insurance) following scientific evidence to mitigate patients’ likelihood of making “near-suicide” decisions and improve social equality in the healthcare system. (shrink)

This research employs the Bayesian network modeling approach, and the Markov chain Monte Carlo technique, to learn about the role of lies and violence in teachings of major religions, using a unique dataset extracted from long-standing Vietnamese folktales. The results indicate that, although lying and violent acts augur negative consequences for those who commit them, their associations with core religious values diverge in the outcome for the folktale characters. Lying that serves a religious mission of either Confucianism or Taoism (but (...) not Buddhism) brings a positive outcome to a character. A violent act committed to serving Buddhist mission results in a happy ending for the committer. (shrink)

The republican case for workplace democracy is presented and defended from two alternative means of ensuring freedom from arbitrary interference in the firm—namely, the right to freely exit the firm and workplace regulation. This paper shows, respectively, that costless exit is neither possible nor desirable in either perfect or imperfect labor markets, and that managerial discretion is both desirable and inevitable due to the incompleteness of employment contracts and labor legislation. The paper then shows that WD is necessary, from (...) a republican standpoint, if workers’ interests are to be adequately tracked in the exercise of managerial authority. Three important objections are finally addressed— that WD is redundant, that it is unnecessary provided that litigation and unionism can produce similar outcomes, and that it falls short of ensuring republican freedom compared to self-employment. (shrink)

Together we can achieve things that we could never do on our own. In fact, there are sheer endless opportunities for producing morally desirable outcomes together with others. Unsurprisingly, scholars have been finding the idea of collective moral obligations intriguing. Yet, there is little agreement among scholars on the nature of such obligations and on the extent to which their existence might force us to adjust existing theories of moral obligation. What interests me in this paper is the perspective (...) of the moral deliberating agent who faces a collective action problem, i.e. the type of reasoning she employs when deciding how to act. I hope to show that agents have collective obligations precisely when they are required to employ ‘we-reasoning’, a type of reasoning that differs from I-mode, best response reasoning, as I shall explain below. More precisely, two (or more) individual agents have a collective moral obligation to do x if x is an option for action that is only collectively available (more on that later) and each has sufficient reason to rank x highest out of the options available to them. (shrink)

The present study aimed to examine how to improve the effectiveness of moral exemplar-applied interventions based on the pillars of the Self-Determination Theory (SDT) framework, autonomy, competence, and relatedness. Past research has mainly focused on the relatedness and attainability of moral exemplars for predicting motivation outcomes. The data for this study consisted of synthesized data sets from previous studies examining the motivational impacts of distinct moral exemplars and intervention methods. The main syntheses for these data sets used Multilevel Modeling (...) (MLM) focusing on relatability, attainability, and intervention methods, corresponding to relatedness, competence, and autonomy in the SDT, respectively, as predictors. In general, there was a significant interaction effect between the attainability or relatability, and the intervention method. Autonomous instruction methods, which support autonomy, were demonstrated to boost motivational outcomes. Implications from this study support the employment of SDT to examine the use of moral exemplars in moral education and were consistent with previous exemplar studies. (shrink)

Common mental health disorders are rising globally, creating a strain on public healthcare systems. This has led to a renewed interest in the role that digital technologies may have for improving mental health outcomes. One result of this interest is the development and use of artificial intelligence for assessing, diagnosing, and treating mental health issues, which we refer to as ‘digital psychiatry’. This article focuses on the increasing use of digital psychiatry outside of clinical settings, in the following sectors: (...) education, employment, financial services, social media, and the digital well-being industry. We analyse the ethical risks of deploying digital psychiatry in these sectors, emphasising key problems and opportunities for public health, and offer recommendations for protecting and promoting public health and well-being in information societies. (shrink)

There are a number of important links and similarities between public health and safety. In this extended essay, Gregg D. Caruso defends and expands his public health-quarantine model, which is a non-retributive alternative for addressing criminal behavior that draws on the public health framework and prioritizes prevention and social justice. In developing his account, he explores the relationship between public health and safety, focusing on how social inequalities and systemic injustices affect health outcomes and crime rates, how poverty affects (...) brain development, how offenders often have pre-existing medical conditions (especially mental health issues), how involvement in the criminal justice system itself can lead to or worsen health and cognitive problems, how treatment and rehabilitation methods can best be employed to reduce recidivism and reintegrate offenders back into society, and how a public health approach could be successfully applied within the criminal justice system. Caruso's approach draws on research from the health sciences, social sciences, public policy, law, psychiatry, medical ethics, neuroscience, and philosophy, and he delivers a set of ethically defensible and practically workable proposals for implementing the public health-quarantine model. The essay begins by discussing recent empirical findings in psychology, neuroscience, and the social sciences that provide us with an increased understanding of the social and neurological determinants of health and criminal behavior. It then turns to Caruso's public health-quarantine model and argues that the model provides the most justified, humane, and effective approach for addressing criminal behavior. Caruso concludes by proposing a capability approach to social justice grounded in six key features of human well-being. He argues that we cannot successfully address concerns over public health and safety without simultaneously addressing issues of social justice—including the social determinants of health (SDH) and the social determinants of criminal behavior (SDCB)—and he recommends eight general policy proposals consistent with his model. (shrink)

Indigenous people (IP) have faced multiple difficulties in education. Indigenous students often do worse academically than non-indigenous student peers. These stated the low enrollment rates showed a dropout rate, absenteeism, repetition rates, literacy rate, and thus the educational outcomes, with retention and completion being two significant issues. Further, this study explores the lived experiences and challenges faced by indigenous high school students amidst the new normal education. Employing the Interpretative Phenomenological Analysis, the findings of this study were: (1) The (...) reason why IP learners were not satisfied with their performance is that they cannot understand some of the lessons due to the language barrier. (2) IP learners are committed to finishing their studies, however, some of the students lack resources for studying, like gadgets for researching, and they do not have cell phones. And the other students may have gadgets or cellphones, but their internet connection is low or not accessible in some places at their location. (shrink)

Throughout Iran and various countries, the recent calls of the “Zan, Zendegi, Azadi” (in Persian), “Jin, Jiyan, Azadi” (in Kurdish), or “Woman, Life, Freedom” (in English) movement call for change to acknowledge the importance of women. While these feminist protests and demonstrations have been met with brutality, systematic oppression, and internet blackouts within Iran, they have captured significant social media attention and coverage outside the country, especially among the Iranian diaspora and various international organizations. This article, grounded in feminist urban (...) theories of the Global South, analyzes the digital feminist placemaking movement in Iran. As the first counter‐revolution led by women, the movement utilizes digital art, graffiti, and protest movements to embody women’s solidarity groups and sympathy rallies. Our analysis employs various digital research methods, including social media scrutiny and the study of protest illustrations. Analyzing the digital feminist placemaking in Iran will enable us to compare the commonalities, differences, challenges, and opportunities between the minorities and majorities in the world’s countries. The outcomes of this research can help international organizations such as Amnesty International and the United Nations Agency for Gender Equality and Women’s Empowerment (UN Women), as well as policymakers, institutions, academics, and NGOs, to highlight the various ways in which broader public participation could be encouraged in the process of digital feminist insurgent placemaking. (shrink)

It is natural to think that there is a tight connection between whether someone is responsible for some outcome and whether it is appropriate to hold her accountable for that outcome. And this natural thought naturally extends to health: if someone is responsible for her health, then, all else being equal, she is accountable for it. Given this, some have thought that responsibility for health has an important role to play in distributing the benefits and burdens of healthcare. But there (...) is a reason for caution. That health is influenced by social, economic, and environmental factors is a matter of consensus. And some have argued that in light of these social determinants of health, individuals are not typically responsible for their health, rendering inappropriate policies that employ a responsibility‐for‐health criterion. This debate implicates a number of overlapping concepts and questions that are often difficult to pull apart. And I worry that those who maintain that social determinants undermine responsibility for health have latched on to the wrong target. The social determinants of health are relevant to such policies, but, I argue, not by globally undermining responsibility. Rather, social determinants are sometimes responsibility‐undermining, sometimes responsibility‐preserving, and often relevant to whether we should hold individuals accountable for their health regardless of their responsibility. This calls for a more nuanced appraisal of the ways in which the social determinants of health are relevant to such policies. And here I attempt to provide one. (shrink)

What is required for an action to promote the satisfaction of a desire? We reject extant answers and propose an alternative. Our account differs from competing answers in two ways: first, it is contrastive, in that actions promote the satisfaction of desires only as contrasted with other possible actions. Second, it employs a notion of expected fit between desire and world, defined as the weighted sum of the fit between the desire and the world in all possible outcomes, where (...) each weight is given by the probability of the agent’s obtaining the relevant outcome. According to our proposal, then, an action promotes a desire when the expected fit for the desire given that the agent performs the action is greater than the expected fit of the desire given that the agent performs the contrasting action. We highlight this account’s attractive features and explain how it improves on its competitors. (shrink)

Embedding ethics modules within computer science courses has become a popular response to the growing recognition that CS programs need to better equip their students to navigate the ethical dimensions of computing technologies like AI, machine learning, and big data analytics. However, the popularity of this approach has outpaced the evidence of its positive outcomes. To help close that gap, this empirical study reports positive results from Northeastern’s program that embeds values analysis modules into CS courses. The resulting data (...) suggest that such modules have a positive effect on students’ moral attitudes and that students leave the modules believing they are more prepared to navigate the ethical dimensions they’ll likely face in their eventual careers. Importantly, these gains were accomplished at an institution without a philosophy doctoral program, suggesting this strategy can be effectively employed by a wider range of institutions than many have thought. (shrink)

Air pollution is a considerable environmental stressor for urban residents in developing countries. Perceived health risks of air pollution might induce migration intention among inhabitants. The current study employed the Bayesian Mindsponge Framework (BMF) to investigate the rationale behind the domestic and international migration intentions among 475 inhabitants in Hanoi, Vietnam – one of the most polluted capital cities worldwide. We found that people perceiving more impacts of air pollution in their daily life are more likely to have migration intention. (...) The effect of perceived air pollution impact on international migration intention is stronger than that of domestic migration. Acknowledging a family member’s air pollution-induced sickness moderated the association between perceived air pollution impact and domestic migration intention, while the personal experience of air pollution-induced sickness did not. In contrast, the moderation effect of personal experience of sickness became significant in the international migration circumstance, but the effect of information about a family member’s sickness was trivial. The findings suggest that urban inhabitants’ consideration of air pollution averting strategies reflects some characteristics of Homo Oeconomicus. Additionally, the individual’s socio-economic decision is seemingly insignificant on a social scale. Still, through environmental stressors as catalysts, such decisions might result in considerable social outcomes (e.g., internal migration and emigration). (shrink)

According to the Market Failures Approach to business ethics, beyond-compliance duties can be derived by employing the same rationale and arguments that justify state regulation of economic conduct. Very roughly the idea is that managers have a duty to behave as if they were complying with an ideal regulatory regime ensuring Pareto-optimal market outcomes. Proponents of the approach argue that managers have a professional duty not to undermine the institutional setting that defines their role, namely the competitive market. This (...) answer is inadequate, however, for it is the hierarchical firm, rather than the competitive market, that defines the role of corporate managers and shapes their professional obligations. Thus, if the obligations that the market failures approach generates are to apply to managers, they must do so in an indirect way. I suggest that the obligations the market failures approach generates directly apply to shareholders. Managers, in turn, inherit these obligations as part of their duties as loyal agents. (shrink)

Climate change assessments rely upon scenarios of socioeconomic developments to conceptualize alternative outcomes for global greenhouse gas emissions. These are used in conjunction with climate models to make projections of future climate. Specifically, the estimations of greenhouse gas emissions based on socioeconomic scenarios constrain climate models in their outcomes of temperatures, precipitation, etc. Traditionally, the fundamental logic of the socioeconomic scenarios—that is, the logic that makes them plausible—is developed and prioritized using methods that are very subjective. This introduces (...) a fundamental challenge for climate change assessment: The veracity of projections of future climate currently rests on subjective ground. We elaborate on these subjective aspects of scenarios in climate change research. We then consider an alternative method for developing scenarios, a systems dynamics approach called ‘Cross-Impact Balance’ (CIB) analysis. We discuss notions of ‘objective’ and ‘objectivity’ as criteria for distinguishing appropriate scenario methods for climate change research. We distinguish seven distinct meanings of ‘objective,’ and demonstrate that CIB analysis is more objective than traditional subjective approaches. However, we also consider criticisms concerning which of the seven meanings of ‘objective’ are appropriate for scenario work. Finally, we arrive at conclusions regarding which meanings of ‘objective’ and ‘objectivity’ are relevant for climate change research. Because scientific assessments uncover knowledge relevant to the responses of a real, independently existing climate system, this requires scenario methodologies employed in such studies to also uphold the seven meanings of ‘objective’ and ‘objectivity.’. (shrink)

Abstract: The sinking of the RMS Titanic in 1912 remains a poignant historical event that continues to captivate our collective imagination. In this research paper, we delve into the realm of data-driven analysis by applying Artificial Neural Networks (ANNs) to predict the chances of survival for passengers aboard the Titanic. Our study leverages a comprehensive dataset encompassing passenger information, demographics, and cabin class, providing a unique opportunity to explore the complex interplay of factors influencing survival outcomes. Our ANN-based predictive (...) model achieved an accuracy rate of 78%, shedding light on the underlying patterns within the data. However, this paper underscores the multifaceted nature of survival prediction and acknowledges several challenges. These include missing data imputation, feature engineering, and the inherent noise within historical datasets. We further discuss the importance of model evaluation metrics, showcasing not only accuracy but also precision, recall, and F1-score as essential indicators of predictive performance. The research paper meticulously outlines the architecture of the ANN model, emphasizing the key hyperparameters, activation functions, and regularization techniques employed in model development. Additionally, we address ethical considerations related to data handling and potential biases within the dataset. While our achieved accuracy is a notable achievement, this study emphasizes the importance of interpreting the results with due caution. It underscores the need for a holistic perspective that considers the practical implications of false positives and false negatives, especially in the context of a disaster scenario. In conclusion, this research contributes to our understanding of survival prediction in historical events like the Titanic disaster using modern machine learning techniques. It calls for further exploration and refinement of predictive models, with a focus on enhancing the interpretability and generalizability of such models to real-world applications. (shrink)

Typically, fair machine learning research focuses on a single decision maker and assumes that the underlying population is stationary. However, many of the critical domains motivating this work are characterized by competitive marketplaces with many decision makers. Realistically, we might expect only a subset of them to adopt any non-compulsory fairness-conscious policy, a situation that political philosophers call partial compliance. This possibility raises important questions: how does partial compliance and the consequent strategic behavior of decision subjects affect the allocation (...) class='Hi'>outcomes? If k% of employers were to voluntarily adopt a fairness-promoting intervention, should we expect k% progress (in aggregate) towards the benefits of universal adoption, or will the dynamics of partial compliance wash out the hoped-for benefits? How might adopting a global (versus local) perspective impact the conclusions of an auditor? In this paper, we propose a simple model of an employment market, leveraging simulation as a tool to explore the impact of both interaction effects and incentive effects on outcomes and auditing metrics. Our key findings are that at equilibrium: (1) partial compliance by k% of employers can result in far less than proportional (k%) progress towards the full compliance outcomes; (2) the gap is more severe when fair employers match global (vs local) statistics; (3) choices of local vs global statistics can paint dramatically different pictures of the performance vis-a-vis fairness desiderata of compliant versus non-compliant employers; (4) partial compliance based on local parity measures can induce extreme segregation. Finally, we discuss implications for auditors and insights concerning the design of regulatory frameworks. (shrink)

The World Trade Organisation, and the international trade regime within which it operates, is regularly evaluated in terms of distributive outcomes or opportunities. A less-established concern is the extent to which the institutional structure of the trade regime enables agents to exert control over the economic forces to which they’re subject. This oversight is surprising, as trade negotiations amongst states have profound impacts upon what options remain open to those states and their citizens in regulating their economies. This article (...) contributes to filling this lacuna in the literature. Following on from recent neo-republican work on global and international justice, it argues that a major problem with the WTO is that it fails to effectively mitigate the domination of some states by others within its negotiations. Such domination prevails despite the employment of negative consensus as a decision-making procedure. (shrink)

As more objections have been raised against grant peer-review for being costly and time-consuming, the legitimate question arises whether machine learning algorithms could help assess the epistemic efficiency of the proposed projects. As a case study, we investigated whether project efficiency in high energy physics can be algorithmically predicted based on the data from the proposal. To analyze the potential of algorithmic prediction in HEP, we conducted a study on data about the structure and outcomes of HEP experiments with (...) the goal of predicting their efficiency. In the first step, we assessed the project efficiency using Data Envelopment Analysis of 67 experiments conducted in the HEP laboratory Fermilab. In the second step, we employed predictive algorithms to detect which team structures maximize the epistemic performance of an expert group. For this purpose, we used the efficiency scores obtained by DEA and applied predictive algorithms – lasso and ridge linear regression, neural network, and gradient boosted trees – on them. The results of the predictive analyses show moderately high accuracy, indicating that they can be beneficial as one of the steps in grant review. Still, their applicability in practice should be approached with caution. Some of the limitations of the algorithmic approach are the unreliability of citation patterns, unobservable variables that influence scientific success, and the potential predictability of the model. (shrink)

Abstract: This research delves into the utilization of Artificial Neural Networks (ANNs) as a powerful tool for predicting the overall ratings of books by leveraging a diverse set of attributes. To achieve this, we employ a comprehensive dataset sourced from Goodreads, enabling us to thoroughly examine the intricate connections between the different attributes of books and the ratings they receive from readers. In our investigation, we meticulously scrutinize how attributes such as genre, author, page count, publication year, and reader reviews (...) influence a book's overall rating. Through rigorous analysis and experimentation, we construct an advanced ANN model tailored for predictive analysis in the realm of book ratings. The outcomes of our study reveal the remarkable potential of ANNs in this domain. The ANN model exhibits an impressive level of accuracy when it comes to forecasting book ratings, underlining the efficacy and promise of artificial neural networks in enhancing our understanding and prediction of book evaluations. This research opens up new avenues for leveraging machine learning techniques to gain deeper insights into the dynamics of book ratings and reader preferences. (shrink)

Race is one of the most common variables in the social sciences, used to draw correlations between racial groups and numerous other important variables such as education, healthcare outcomes, aptitude tests, wealth, employment and so forth. But where concern with race once reflected the view that races were biologically real, many, if not most, contemporary social scientists have abandoned the idea that racial categories demarcate substantial, intrinsic biological differences between people. This, in turn, raises an important question about (...) the significance of race in those social sciences: if there is no biological basis of race, why are racial categories useful to social scientists? More specifically, in virtue of what are racial categories a successful basis of informative, important social scientific generalizations? 2 We’ll call this social science’s race puzzle. (shrink)

In this paper, we propose a new hybrid neutrosophic multi criteria decision making (MCDM) framework that employs a collection of neutrosophic analytical network process (ANP), and order preference by similarity to ideal solution (TOPSIS) under bipolar neutrosophic numbers. The MCDM framework is applied for chief executive officer (CEO) selection in a case study at the Elsewedy Electric Group, Egypt. The proposed approach allows us to assemble individual evaluations of the decision makers and therefore perform accurate personnel selection. The outcomes (...) of the proposed method are compared with those of the related works such as weight sum model (WSM), weight product model (WPM), analytical hierarchy process (AHP), multiobjective optimization based on simple ratio analysis (MOORA) and ANP methods to prove and validate the results. (shrink)

-/- In Plato's work the "Sophist", Socrates, who typically occupies a central position in Plato's dialogues, is assigned a supporting role. This has led some scholars to argue for a shift in Plato's oeuvre, where he distances himself from Socrates and introduces a new main protagonist. However, this new protagonist remains unnamed and is only identified by his social position as Xenos, indicating that he is an outsider and a stranger whose identity is ambiguous. In this article, I argue that (...) Plato's decision to leave the character unnamed serves to raise a first problem: the question of whether this stranger is a friend or an adversary of philosophy. At the beginning of the dialogue, Socrates employs a series of references to Homer to bring into play a second problem: the problem of disguise. The third problem, “What is a sophist?”, is attributed to the Xenos. This is the only problem that is explicitly developed and is, therefore, the most prominent in the dialogue. If we relate these three problems to each other, it becomes clear that they represent contradictory intuitions without providing us with a strict criterion for deciding which of these intuitions is correct. By presenting these problems in their entanglement without providing a way out, Plato invites his readers to think without making explicit what the outcome of this thinking should be. -/- [In Dutch: In de "Sofist" speelt Sokrates, vaak het meest prominente personage in Plato’s dialogen, alleen maar een bijrol. Dit heeft veel interpreten ertoe verleid om een breuk in het oeuvre van Plato te postuleren, waarbij Plato afstand zou nemen van Sokrates ten behoeve van een nieuw personage. Ik zal echter laten zien dat Plato er bewust voor kiest om dit nieuwe personage naamloos te laten en hem alleen aan te duiden via zijn sociale positie als xenos (vreemdeling). Hiermee roept Plato, zo zal ik betogen, impliciet een eerste probleem op: is deze naamlo- ze Xenos een vriend of een vijand van de filosofie? Aan het begin van de dialoog wordt er door Sokrates een tweede probleem in spel gebracht: het probleem van de vermomming. Het derde probleem — ‘wat is een sofist?’ — wordt toegeschreven aan de Xenos. Dit is het enige probleem dat expliciet wordt uitgewerkt en is dan ook het meest prominent aanwezig in de dialoog. Als we deze drie problemen op elkaar betrekken dan wordt duidelijk dat ze tegenstrijdige intuïties vertolken, zonder dat we een strikt criterium krijgen aangereikt om te beslissen welke van deze intuïties de juiste is. Door deze problemen in een nog niet ontwarde kluwen te presenteren, nodigt Plato zijn lezers uit tot denken, zonder expliciet te maken wat de uitkomst van dit denken zou moeten zijn.]. (shrink)

The notion of repression as active forgetfulness already found in Nietzsche and systematised by Freud and his successors is employed in a distinctive manner by Merleau-Ponty in Phenomenology of Perception. By showing how we appropriate our environment towards outcomes and respond to other people, he contends, we can unearth hidden modes of operative intentionality. Two such modes are the motor intentional projection of action and the anonymous intercorporeality that includes touching and being touched. Each of these is an aspect (...) of a past that was never a present. Merleau-Ponty does have something to say about pasts that were once present and that linger on in human life. Yet he shows little interest in the unconsciousness of psychoanalysis for its own sake. Psychoanalytic accounts of repression are assimilated into his theory of the body itself, serving merely as means for illustrating the latter. I suggest that this move follows on a conception of an integrated existent whose past acquisitions are remarkably enabling and untroubling. (shrink)

Continued urbanization, along with anthropogenic global warming, has and will increase land surface temperature and air temperature anomalies in urban areas when compared to their rural surroundings, leading to Urban Heat Islands (UHI). UHI poses environmental and health risks, affecting both psychological and physiological aspects of human health. Thus, using a deep learning approach that considers morphological variables, this study predicts UHI intensity in 69 European cities from 2007 to 2021 and projects UHI impacts for 2050 and 2080. The research (...) employs Artificial Neural Networks, Deep Neural Networks, and Gated Recurrent Units, combining high-resolution 3D urban models with environmental data to analyze UHI trends. The results indicate strong associations between urban form, weather patterns, and UHI intensity, highlighting the need for customized urban planning and policy measures to reduce UHI impacts and foster sustainable urban settings. This research enhances understanding of UHI dynamics and serves as a valuable tool for urban planners and policymakers to address the challenges of climate change, urbanization, and air pollution, ultimately aiding in the improvement of health outcomes and building energy consumption. Moreover, the methodology effectively demonstrates the ability of the GRU to link its scores with UHI projections, offering crucial insights into potential health impacts. (shrink)

Measuring the effectiveness of medical interventions faces three epistemological challenges: the choice of good measuring instruments, the use of appropriate analytic measures, and the use of a reliable method of extrapolating measures from an experimental context to a more general context. In practice each of these challenges contributes to overestimating the effectiveness of medical interventions. These challenges suggest the need for corrective normative principles. The instruments employed in clinical research should measure patient-relevant and disease-specific parameters, and should not be sensitive (...) to parameters that are only indirectly relevant. Effectiveness always should be measured and reported in absolute terms (using measures such as 'absolute risk reduction'), and only sometimes should effectiveness also be measured and reported in relative terms (using measures such as 'relative risk reduction')-employment of relative measures promotes an informal fallacy akin to the base-rate fallacy, which can be exploited to exaggerate claims of effectiveness. Finally, extrapolating from research settings to clinical settings should more rigorously take into account possible ways in which the intervention in question can fail to be effective in a target population. (shrink)

The water scarcity crisis is becoming more severe across the globe and recycled water has been suggested as a feasible solution to the crisis. However, expanding the use of potable and recycled public water has been hindered by public acceptance. Previous studies suggest threat perception and trust of provided information have positive linear relationships with recycled water acceptance. However, given the complex filtering role of trust in the human mental process, we argue that the effects of threat perception and trust (...) may have non-linear relationships with acceptance of recycled water for drinking. To support and validate this argument, we employed Bayesian Mindsponge Framework analytics on 726 Spanish residents. We found that individuals more concerned about water shortage are less likely to accept using recycled water for drinking if their trust in the water quality and safety is low. Meanwhile, people more concerned about water shortage are more likely to accept using recycled water for drinking if they trust the water quality and safety. The findings suggest the non-linear relationships between threat perception, trust, and recycled water acceptance while validating mindsponge-based reasoning. Moreover, the results also highlight the importance of trust in influencing the mental process’s outcome: recycled water acceptance. (shrink)

A growing body of research suggests that students achieve learning outcomes at higher rates when instructors use active-learning methods rather than standard modes of instruction. To investigate how one such method might be used to teach philosophy, we observed two classes that employed Reacting to the Past, an educational role-immersion game. We chose to investigate Reacting because role-immersion games are considered a particularly effective active-learning strategy. Professors who have used Reacting to teach history, interdisciplinary humanities, and political theory agree (...) that it engages students and teaches general skills like collaboration and communication. We investigated whether it can be effective for teaching philosophical content and skills like analyzing, evaluating, crafting, and communicating arguments in addition to bringing the more general benefits of active learning to philosophy classrooms. Overall, we find Reacting to be a useful tool for achieving these ends. While we do not argue that Reacting is uniquely useful for teaching philosophy, we conclude that it is worthy of consideration by philosophers interested in creative active-learning strategies, especially given that it offers a prepackaged set of flexible, user-friendly tools for motivating and engaging students. (shrink)

Purpose: This study aimed to explore the practices of secondary public school teachers in preparing for classroom observation amidst the new normal of education. The emphasis of this study was drawn from the central question, "What are the practices of secondary public school teachers in preparing for classroom observation amidst the new normal of education?". Research Methodology: This study used a qualitative research design. It employed a phenomenology design to explore the practices of secondary public school teachers in preparing the (...) new normal classroom observation. Results: Teachers believe that classroom observation is a measuring tool for achieving their professional goals or performance level. They also think that classroom observation can evaluate and assess the students' learning outcomes effectively and efficiently. Limitations: This study was limited to 22 secondary public school teachers in Cagayan, Philippines. Contribution: It can be helpful for teachers to improve their teaching techniques, strategies, methods, and instructional materials to be used amid this new normal of education. (shrink)

Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our investigation (...) identifies the most influential features in breast cancer diagnosis, shedding light on the key determinants of malignancy. Notably, we find that factors such as fractal dimension_se, symmetry worst, compactness_worst, symmetry_se, and smoothness_se play pivotal roles in distinguishing between benign and malignant cases. This research contributes to the ongoing efforts to enhance breast cancer diagnosis, providing valuable insights into feature importance and showcasing the potential of neural networks in medical applications. Our findings have implications for improving early detection and treatment strategies, ultimately contributing to improved patient outcomes. (shrink)

Entanglement measures quantify the amount of quantum entanglement that is contained in quantum states. Typically, different entanglement measures do not have to be partially ordered. The presence of a definite partial order between two entanglement measures for all quantum states, however, allows for meaningful conceptualization of sensitivity to entanglement, which will be greater for the entanglement measure that produces the larger numerical values. Here, we have investigated the partial order between the normalized versions of four entanglement measures based on Schmidt (...) decomposition of bipartite pure quantum states, namely, concurrence, tangle, entanglement robustness and Schmidt number. We have shown that among those four measures, the concurrence and the Schmidt number have the highest and the lowest sensitivity to quantum entanglement, respectively. Further, we have demonstrated how these measures could be used to track the dynamics of quantum entanglement in a simple quantum toy model composed of two qutrits. Lastly, we have employed state-dependent entanglement statistics to compute measurable correlations between the outcomes of quantum observables in agreement with the uncertainty principle. The presented results could be helpful in quantum applications that require monitoring of the available quantum resources for sharp identification of temporal points of maximal entanglement or system separability. (shrink)

This paper proposes a philosophically informed decision-making methodology, inspired by Aristotle, that encourages constructive discussions amongst employers and employees; is directed towards shared higher-level goals; is consistent with planning frameworks already in place in many businesses; can be amended over time without disruptive disputes; and accounts for the particularities of each industry, enterprise, workplace, and job. It seeks to establish a more fundamental basis for discussions about remote vs. in-person office work: specifically, the purpose and nature of the work of (...) those affected. If these matters can be decided, then subsequent discussions might be focused more upon the shared outcomes to which stakeholders are committed and less upon individual preferences and ‘hunches.’. (shrink)

The field of public policy is dominated by the social sciences. Schools and departments of public policy and public administration are largely populated by economists, political scientists, and sociologists, and the vast majority of work in prestigious public policy journals employs empirical methods. This is unsurprising, in one respect, for collecting data, predicting and identifying the causal impacts of policies, and understanding political institutions and processes are massive, important tasks that require the tools of the social sciences. It is surprising, (...) in another respect however, since much policy scholarship and analysis aspires to offer recommendations to policymakers, and recommendations necessarily involve evaluative judgments, for example, that the status quo is deficient and that a certain course of action will make things better. To defend such judgments, policy scholars and analysts cannot appeal to the social sciences alone for these judgments concern the realm of values, not facts. Instead, careful ethical reflection and analysis is required. This need for ethical reflection in public policy is particularly evident in the practice of policy analysis, a principal analytic tool of the field. Policy analyses involve the identification of policy problems, the specification of criteria for evaluating possible solutions, and the recommendation that a policy option offers the best balance of trade offs. This identification of bads, the specification of goods policies should realize, and the weighing of these goods with the judgment that policymakers should or ought to pursue this course of action or that, are all deeply ethical activities. Ethical reflection and analysis is thus a constituent feature of policy analysis, and like the amassing of evidence and projection of outcomes, this reflection and analysis may be performed well or badly. The overall aim of this book is to provide students, scholars, and practitioners of public policy with guidance regarding the ethical dimensions of policy analysis. My aim in this chapter is to set the stage, providing an overview of these dimensions. After providing a brief overview of the practice of policy analysis, I identify the steps of an analysis where analysts must make ethical judgments in order to move forward, and fully articulate the ethical questions they must confront and take a position on. (shrink)

Choice experiment (CE) is a questionnaire based method that the accuracy of research questionnaire determines the validity of the research outcomes. Attribute selection has a prime importance in every CE studies. If respondents do not understand or do not have preference for a certain attribute, the attribute non-attendance problem might happen that biases overall results of the research. Qualitative approaches such as literature review, focus group discussion, and in depth discussion commonly applied in CE researches. However, especially in the (...) developing countries context where ethnical and cultural diversity is a challenge in conducting survey based questionnaires, qualitative methods are not sufficient in selecting attributes. Present study investigates the application of relative importance index (RII) in respondents¡¯ preference for attributes in a modal shift study in Klang Valley, Malaysia. The 5 point Likert scale questions were employed to enhance respondents¡¯ preferences for initial 24 selected attributes. The results of this study showed that from 24 pre-selected attributes, only 18 of them had RII>0.5 and could be included in the final CE design. The results of this study could help researchers to control for unobserved problems in selecting the attributes which could not be discovered through qualitative approaches. -/- . (shrink)

Marie Oldfield, Pro Bono Economics & Refugee Council. Over half the total applications for asylum the UK receives each year are initially rejected, yet nearly a third of these initial rejections are subsequently overturned on appeal. This process that fails to get decisions right first time imposes significant costs, not just on the applicants themselves, but also more widely on UK taxpayers. Asylum seekers are not entitled to welfare benefits nor employment except in some limited cases, and are often (...) placed in unsuitable conditions with lack of appropriate support to prepare their case for asylum. These unfortunate circumstances mean that they are unable to gather and present all the required evidence first time, even when the case for asylum is legitimate. As a result, the application is rejected and thus begins a cycle of appeals that might eventually lead to a successful outcome for the asylum seeker but will, in the process, burden the taxpayer with unnecessary administrative cost and cause the asylum seeker needless distress and prevent them from accessing suitable economic opportunities. • Our study estimates that there are approximately 4,000 initial rejections that are successfully appealed each year and, with each appeal incurring direct administrative costs of around £1,000, the price tag of incorrect initial decisions adds up to a hefty £4 million per year in unnecessary administrative costs alone. • There are other costs, too, that negatively impact asylum seekers and taxpayers, albeit in a more indirect manner. The longer the appeals process is dragged out, the more delay there is to successful asylum seekers entering the labour market which means lost economic activity and forgone tax revenue for the Exchequer. Long periods of unemployment also result in skills attrition and lower the probability of the asylum seeker successfully entering the labour market in the future. • A lengthy appeals process heightens stress and worsens mental health in asylum seekers, a group arguably already more vulnerable on this front. Unnecessary human suffering aside, there is also a monetary cost borne by the taxpayer should NHS mental health services become involved. Thus, there is a pressing and viable case for providing asylum seekers a stable environment in which to complete their applications for asylum. This would increase the likelihood of reaching correct decisions in the first instance, avoid unnecessary administrative costs of an arduous appeals process, enable successful asylum seekers to access the labour market and contribute to the Exchequer, and avoid placing extra demands on already strained NHS mental health services. (shrink)