This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm underlying RSs? Our main finding is that multistakeholder RSs (MRSs) are designed and (...) theorised, methodologically, according to neoclassical welfare economics. We consider and reply to some methodological objections to MRSs on this basis, concluding that the multistakeholder approach offers the resources to understand the normative social dimension of RSs. (shrink)

Advances in AI research have brought increasingly sophisticated capabilities to AI systems and heightened the societal consequences of their use. Researchers and industry professionals have responded by contemplating responsible principles and practices for AI system design. At the same time, defense institutions are contemplating ethical guidelines and requirements for the development and use of AI for warfare. However, varying ethical and procedural approaches to technological development, research emphasis on offensive uses of AI, and lack of appropriate venues for multistakeholder (...) dialogue have led to differing operationalization of responsible AI principles and practices among civilian and defense entities. We argue that the disconnect between civilian and defense responsible development and use practices leads to underutilization of responsible AI research and hinders the implementation of responsible AI principles in both communities. We propose a research roadmap and recommendations for dialogue to increase exchange of responsible AI development and use practices for AI systems between civilian and defense communities. We argue that generating more opportunities for exchange will stimulate global progress in the implementation of responsible AI principles. (shrink)

A notable feature of paradox is recognition that seemingly contradictory terms are inextricably intertwined and interrelated—holding out the hope that something new can be learned from the cognitive tension contained within. Aram has characterized the central concern of the business and society field as the paradox of interdependent relations. Our study argues that this and related paradoxes can be addressed by engaging with others and trying to gain shared insight via an interactive, developmental, exploratory sensemaking process that can inform the (...) governance of stakeholder networks. We advocate multistakeholder learning dialogues (MSLDs) as a means for both scholars and practitioners to construct meanings that can guide joint efforts to cope with messy problems that help shape complex, paradoxical relationships within stakeholder networks. (shrink)

We predict multistakeholder benefits as a measure of organizational performance from the perspective of important organizational stakeholders. Specifically, we identify the relative importance of theoretical antecedents that affect the different dimensions of stakeholder benefits. Offering the first empirical synthesis of multistakeholder benefits to date, we assess the statistical explanatory power of different theories in the literature, focusing on the extent to which their suggested antecedents of organizational performance may lead to improvements in multiple dimensions of stakeholder benefits. Based (...) on 110 empirical studies since 1990 to date concerning any two of four stakeholder groups (investors, customers, employees, and community /environment), we find no evidence for any single theory to have sufficient explanatory power in predicting benefits concerning all four stakeholder groups. Thus, we cannot reduce different mechanisms leading to multistakeholder benefits to a grand model or theory but need to resort to a multi-theoretical synthesis. Taking stock of the meta-analysis, we suggest future studies should fill three gaps: multiple dimensions within a stakeholder benefit, causal complexity, and inequality of stakeholder benefit creation. (shrink)

In this article, we offer an approach of how participative stakeholder innovation can be evaluated in complex multistakeholder settings that address wicked issues. Based on the principle of mutual value creation, we present an evaluation framework that accounts for the social interaction process during which stakeholders integrate their resources and capabilities to develop innovative products and services. To assess this evaluation framework, we collected multiple data from the case study of the Swiss Cardiovascular Network, which represents a multistakeholder (...) setting related to the prevention of cardiovascular disease. Our findings indicate that the evaluation dimensions of the stakeholders’ mindsets, the process and context of the stakeholder interactions, as well as the outcomes are useful concepts to account for a cooperative process of innovation in a multistakeholder setting. We discuss both the theoretical and practical insights of our analysis for participative stakeholder innovation. (shrink)

The proliferation of multistakeholder initiatives (MSIs) over the past years has sparked an intense debate on the political role of corporations in the governance of global business conduct. To gain a better understanding of corporate political behavior in multistakeholder governance, this article investigates how firms construct a political identity when participating in MSIs. Based on an in-depth case study of the Accord on Fire and Building Safety in Bangladesh—an MSI established after the collapse of the Rana Plaza garment (...) factory complex in 2013 to improve working conditions in the Bangladeshi garment industry—we introduce the construct of a political CSR (corporate social responsibility) identity (PCSRI) and explore how firms construct their PCSRIs in MSIs. Employing a qualitative, inductive theory-building method, we analyze interviews and archival data to develop a framework that elucidates how companies construct their PCSRIs within a continuum ranging from conservative to progressive. We show that constructing a PCSRI involves enacting specific, yet interrelated, political strategies that are themselves shaped by several forces over time. This article contributes to the literature by providing a political perspective on organizational identity construction that extends the emerging integrative perspective in political corporate social responsibility (PCSR) research. We suggest that MSIs should be conceptualized as inherently political governance mechanisms that are driven by multidirectional and dynamic political processes of identity construction. Our study shows that corporate political engagement in MSIs is a more nuanced and complex phenomenon than presently theorized. (shrink)

This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders—as opposed to just the receivers of a recommendation—in assessing the ethical impacts of a recommender system.

Given the urgency of global crises, interest abounds in alternative organizational forms (e.g., multistakeholder social enterprises, MSEs), promising structural solutions to engage diverse stakeholders in the creation of joint social, economic, and democratic values. Yet, studies of the who, how, and why of stakeholder engagement are predominantly rooted in for-profit contexts, assuming objective boundaries between insider/outsider stakeholders and engagement as a means to an end. The context of MSEs challenges both of these assumptions. Based on interviews with leaders of (...) 28 French MSEs, I show how the latter made sense of their expectations versus the reality of stakeholder engagement. Leader sensemaking strategies informed the enactment of (revised) stakeholder engagement strategies to maintain coherence, or address misalignment, between expectations and reality. The article contributes to the literature by challenging assumptions of stakeholder engagement in for-profit firms. It also cautions against an overreliance on designated organizational forms to enable substantive stakeholder engagement. (shrink)

The question of what drives corporate social performance has become a vital concern for many managers and researchers of large corporations. This study addresses this question by adopting a multilevel, multistakeholder, and multimethod approach to theorize and estimate the relative influence of macro, meso, and micro factors on CSP. Applying three different methods of variance decomposition analysis to an international sample of 2060 large public companies over a time span of 5 years, our results show that firm-level factors explain (...) the largest proportion of variance in aggregate CSP as well as CSP oriented toward communities, the natural environment, and employees. These results support our hypotheses according to which CSP is not primarily driven by macrolevel or mesolevel factors, except for shareholder-oriented CSP, which is relatively more influenced by country-level factors. As a whole, our findings also point to the value of subdividing CSP into its stakeholder-specific components as this disaggregation allows for a more careful examination of distinct drivers of distinct aspects of CSP. (shrink)

Social media (SM) influence young adults’ communication practices. Artificial Intelligence (AI) is increasingly used for making recommendations on SM. Yet, its effects on different generations of SM users are unknown. SM can use AI recommendations to sort texts and prioritize them, shaping users’ online and offline experiences. Current literature primarily addresses technological or human-user perspectives, overlooking cognitive perspectives. This research aims to propose methods for mapping users’ interactions with AI recommendations (AiRS) and analyzes how embodied interactions mediated by a digital (...) agent can lead to changes in social and cultural practices. For this, this work proposes a comparative analysis of central practices evoked by AI recommendations-mediated communication on SM among users in Italy, Estonia, and the Netherlands in the age category 18–26 years old. The data used in the comparative analysis was collected via semi-structured interviews and elaborated based on cognitive psychology and semiotics. This research highlights the contextual significance of AI recommendations as a mediator in creating new communication practices. Findings confirm that young adults often choose practices that would enhance their digital representations according to AiRS’ dominant patterns and categories. AiRS impacts individual interpretations and practices and can further affect social and cultural levels. (shrink)

As the multiple issues of the digital public sphere threaten our democracies and the cohesion of our societies, most attempts for a betterment of the digital networks and platforms revolve around a risk-response approach. This paper takes the opposite approach and develops a positive definition of the ideal ethical public sphere, combining normative features with original taxonomies. In view of defining common standards for a healthy digital public sphere, this paper offers an interdisciplinary literature review, and original recommendations, before discussing (...) potential leverages for implementing these changes. The suggested ethical normative features derive from a positive approach to the digital public sphere, as ideal common standards. Sustained by the underlying assumption that the composite landscape of the media ecosystem and its different layers (networks, platforms, users) cannot be steered by government regulations alone, the normative (deontological) approach serves to understand and justify the need for a normative approach, to help envision new pathways for an ethical transformation. (shrink)

Advancements in novel neurotechnologies, such as brain computer interfaces and neuromodulatory devices such as deep brain stimulators, will have profound implications for society and human rights. While these technologies are improving the diagnosis and treatment of mental and neurological diseases, they can also alter individual agency and estrange those using neurotechnologies from their sense of self, challenging basic notions of what it means to be human. As an international coalition of interdisciplinary scholars and practitioners, we examine these challenges and make (...) recommendations to mitigate negative consequences that could arise from the unregulated development or application of novel neurotechnologies. We explore potential ethical challenges in four key areas: identity and agency, privacy, bias, and enhancement. To address them, we propose democratic and inclusive summits to establish globally-coordinated ethical and societal guidelines for neurotechnology development and application, new measures, including “Neurorights,” for data privacy, security, and consent to empower neurotechnology users’ control over their data, new methods of identifying and preventing bias, and the adoption of public guidelines for safe and equitable distribution of neurotechnological devices. (shrink)

Globalization arguably generated a governance gap that is being filled by transnational rule-making involving private actors among others. The democratic legitimacy of such new forms of governance beyond nation states is sometimes questioned. Apart from nation-centered democracies, such governance cannot build, for example, on representation and voting procedures to convey legitimacy to the generated rules. Instead, alternative elements of democracy such as deliberation and inclusion require discussion to assess new instruments of governance. The recently published standard ISO 26000 is an (...) interesting example of transnational governance. ISO 26000 was developed in a lengthy multiorganizational process for the purpose of giving guidance on the social responsibility of organizations. By assessing the specific case of ISO 26000, this study sheds light on the question of how legitimacy beyond nation-state democracy is ensured or constricted. Centering on the idea of deliberate democracy and democratic legitimacy, the study offers in-depth insights on the normative legitimacy of the development process of ISO 26000. Positioned on the interface of business studies and public policy, this article contributes to the academic literature on transnational governance and on the role of multistakeholder processes in shaping the role of business in society. (shrink)

On March 11, 2020 the World Health Organization classified COVID‐19, caused by Sars‐CoV‐2, as a pandemic. Although not much was known about the new virus, the first outbreaks in China and Italy showed that potentially a large number of people worldwide could fall critically ill in a short period of time. A shortage of ventilators and intensive care resources was expected in many countries, leading to concerns about restrictions of medical care and preventable deaths. In order to be prepared for (...) this challenging situation, national triage guidance has been developed or adapted from former influenza pandemic guidelines in an increasing number of countries over the past few months. In this article, we provide a comparative analysis of triage recommendations from selected national and international professional societies, including Australia/New Zealand, Belgium, Canada, Germany, Great Britain, Italy, Pakistan, South Africa, Switzerland, the United States, and the International Society of Critical Care Medicine. We describe areas of consensus, including the importance of prognosis, patient will, transparency of the decision‐making process, and psychosocial support for staff, as well as the role of justice and benefit maximization as core principles. We then probe areas of disagreement, such as the role of survival versus outcome, long‐term versus short‐term prognosis, the use of age and comorbidities as triage criteria, priority groups and potential tiebreakers such as ‘lottery’ or ‘first come, first served’. Having explored a number of tensions in current guidance, we conclude with a suggestion for framework conditions that are clear, consistent and implementable. This analysis is intended to advance the ongoing debate regarding the fair allocation of limited resources and may be relevant for future policy‐making. (shrink)

Philosophers have talked to each other about moral issues concerning technology, but few of them have talked about issues of technology and the good life, and even fewer have talked about technology and the good life with the public in the form of recommendation. In effect, recommendations for various technologies are often left to technologists and gurus. Given the potential benefits of informing the public on their impacts on the good life, however, this is a curious state of affairs. (...) In the present paper, I will examine why philosophers are seemingly reluctant to offer recommendations to the public. While there are many reasons for philosophers to refrain from offering recommendations, I shall focus on a specific normative reason. More specifically, it appears that, according to a particular definition, offering recommendations can be viewed as paternalistic, and therefore is prima facie wrong to do so. I will provide an argument to show that the worry about paternalism is unfounded, because a form of paternalism engendered by technology is inevitable. Given the inevitability of paternalism, I note that philosophers should accept the duty to offer recommendations to the public. I will then briefly turn to design ethics, which has reconceptualised the role of philosophers and, in my mind, fitted well with the inevitability of paternalism. Finally, I shall argue that design ethics has to be supplemented by the practice of recommendation if it is to sustain its objective. (shrink)

Longtermism is the view that the most urgent global priorities, and those to which we should devote the largest portion of our resources, are those that focus on (i) ensuring a long future for humanity, and perhaps sentient or intelligent life more generally, and (ii) improving the quality of the lives that inhabit that long future. While it is by no means the only one, the argument most commonly given for this conclusion is that these interventions have greater expected goodness (...) per unit of resource devoted to them than each of the other available interventions, including those that focus on the health and well-being of the current population. In this paper, I argue that, even if we grant the consequentialist ethics upon which this argument depends, and even if we grant one of the axiologies that are typically paired with that ethics to give the argument, we are not morally required to choose an option that maximises expected utility; indeed, we might not even be permitted to do so. Instead, I will argue, if the argument's consequentialism is correct, we should choose using a decision theory that is sensitive to risk, and allows us to give greater weight to worse-case outcomes than expected utility theory does. And, I will show, such decision theories do not always recommend longtermist interventions. Indeed, sometimes, they recommend exactly the opposite: sometimes, they recommend hastening human extinction. Many, though not all, will take this as a reductio of the consequentialism or the axiology of the argument. I remain agnostic on the conclusion we should draw. (shrink)

The corporate financial performance (CFP)–corporate social performance (CSP) relationship has been investigated many times over the past few decades, yet the notion of CSP has generally been understood to be a single, monolithic aspect of corporate strategy. This article examines the common CFP–CSP understanding in three distinct ways: (1) by extending the evaluation of CSP as a complex, multistakeholder notion; (2) by analyzing CSP's relationship with the firm's financial performance at a given point in time as a lead (independent) (...) variable in the relationship and as a lag (dependent) variable in the relationship; and (3) for both positive and negative stakeholder relationships. The results indicate that the employee emerges as the stakeholder group most strongly linked to CFP, followed by the consumer stakeholder. The natural environment and the community stakeholder group are minimally associated with CFP. General support is found for a CFP–CSP relationship at a given point in time, with some support found for CSP as a lead (independent) variable. When used as a measure of financial performance, return on assets is more often correlated with CSP than is return on equity. These results and their implications are discussed. (shrink)

The paper offers a semantic and pragmatic analysis of statements of the form ‘x is beautiful’ as involving a double speech act: first, a report that x is beautiful relative to the speaker’s aesthetic standard, along the lines of naive contextualism; second, the speaker’s recommendation that her audience comes to share her appraisal of x as beautiful. We suggest that attributions of beauty tend to convey such a recommendation due to the role that aesthetic practices play in fostering (...) and enhancing interpersonal coordination. Aesthetic practices are driven by a disposition towards the attunement of attitudes and aesthetic recommendations contribute to forwarding such attunement. Our view is motivated by an attempt to satisfy the following set of desiderata: to account for the experiential nature of aesthetic judgments, disagreements in aesthetic debates, and the normative aspirations of aesthetic discourse, as well as to avoid appealing to error theory and realist ontological commitments. (shrink)

The article brings to light the use of recommender systems as technologies of the self, complementing the observations in current literature regarding their employment as technologies of ‘soft’ power. User practices on the music recommendation website last.fm reveal that many users do not only utilize the website to receive guidance about music products but also to examine and transform an aspect of their self, i.e. their ‘music taste’. The capacity of assisting users in self-cultivation practices, however, is not unique (...) to last.fm but stem from certain properties shared by all recommendation systems. Furthermore, unlike other oft-studied digital/web technologies of the self which facilitate ‘self-publishing’ vis-à-vis virtual companions in social media, recommender algorithms themselves can act as ‘intimate experts’, accompanying users in their self-care practices. Thus, recommendation systems can facilitate both algorithmic control and creative self-transformation, which calls for a theorization of this new cultural medium as a space of tension. (shrink)

Recommender Systems (RecSys) have been around since the early days of the Internet, helping users navigate the vast ocean of information and the increasingly available options that have been available for us ever since. The range of tasks for which one could use a RecSys is expanding as the technical capabilities grow, with the disruption of Machine Learning representing a tipping point in this domain, as in many others. However, the increase of the technical capabilities of AI-powered RecSys did not (...) come with a thorough consideration of their ethical implications and, despite being a well-established technical domain, the potential impacts of RecSys on their users are still under-assessed. This paper aims at filling this gap in regards to one of the main impacts of RecSys: personal autonomy. We first describe how technology can affect human values and a suitable methodology to identify these effects and mitigate potential harms: Value Sensitive Design (VSD). We use VSD to carry out a conceptual investigation of personal autonomy in the context of a generic RecSys and draw on a nuanced account of procedural autonomy to focus on two components: competence and authenticity. We provide the results of our inquiry as a value hierarchy and apply it to the design of a speculative RecSys as an example. (shrink)

This paper explores and rehabilitates the value of decisional privacy as a conceptual tool, complementary to informational privacy, for critiquing personalized choice architectures employed by self-tracking technologies. Self-tracking technologies are promoted and used as a means to self-improvement. Based on large aggregates of personal data and the data of other users, self-tracking technologies offer personalized feedback that nudges the user into behavioral change. The real-time personalization of choice architectures requires continuous surveillance and is a very powerful technology, recently coined as (...) “hypernudging.” While users celebrate the increased personalization of their coaching devices, “hypernudging” technologies raise concerns about manipulation. This paper addresses that intuition by claiming that decisional privacy is at stake. It thus counters the trend to solely focus on informational privacy when evaluating information and communication technologies. It proposes that decisional privacy and informational privacy are often part of a mutually reinforcing dynamic. Hypernudging is used as a key example to illustrate that the two dimensions should not be treated separately. Hypernudging self-tracking technologies compromise autonomy because they violate informational and decisional privacy. In order to effectively judge whether technologies that use hypernudges empower users, we need both privacy dimensions as conceptual tools. (shrink)

It is widely agreed by philosophers that the so-called “Frege-Russell definition of natural number” is actually an assertion concerning the nature of the numbers and that it cannot be regarded as a definition in the ordinary mathematical sense. On the basis of the reasoning in this paper it is clear that the Frege-Russell definition contradicts the following three principles (taken together): (1) each number is the same entity in each possible world, (2) each number exists in each possible world, (3) (...) some entities existing in the actual world do not exist in every possible world. Since these principles seem to be true, the paper is a refutation of the Frege-Russell definition. The paper does more. It shows that the contradictory of the Frege-Russell definition follows even when principles 2 and 3 are replaced by one considerably weaker principle. The ideas contained in the paper are related to two earlier objections to the definition. The first, sometimes attributed to the mathematician, C. S. Keyser, is that existence of the numbers as defined implies the existence of infinitely many particulars in each possible world. The second is, in effect, an idea which is said to have led Whitehead to reject the definition of number to which he had subscribed in Principia Mathematica. Whitehead is supposed to have said that he could not believe that the number two changes every “time twins are born”. The mathematician H. Jeffreys expressed similar ideas [Philos. of Sci. 5 (1938), 434–451]. One of the merits of the author’s work is that it refutes the Frege-Russell definition without the need to take sides on controversial points presupposed by the Keyser and Whitehead objections. The objections made by the author are therefore not to be identified with the Keyser and Whitehead objections. Even if the author’s work is to be regarded as a refinement and integration of previous ideas, it is nevertheless a contribution—not only because the basic points are well worth repeating but also because the refinements are logically significant improvements and because the author has stated them clearly and concisely in the idiom of contemporary philosophy. (shrink)

Wearable devices are increasingly present in the health context, as tools for biomedical research and clinical care. In this context, wearables are considered key tools for a more digital, personalised, preventive medicine. At the same time, wearables have also been associated with issues and risks, such as those connected to privacy and data sharing. Yet, discussions in the literature have mostly focused on either technical or ethical considerations, framing these as largely separate areas of discussion, and the contribution of wearables (...) to the collection, development, application of biomedical knowledge has only partially been discussed. To fill in these gaps, in this article we provide an epistemic (knowledgerelated) overview of the main functions of wearable technology for health: monitoring, screening, detection, and prediction. On this basis, we identify 4 areas of concern in the application of wearables for these functions: data quality, balanced estimations, health equity, and fairness. To move the field forward in an effective and beneficial direction, we present recommendations for the 4 areas: local standards of quality, interoperability, access, and representativity. (shrink)

Institutional resilience refers to the capacity of institutions to deal with adversity. Crises are a major source of adversity. However, we poorly understand the relations between institutional resilience and crises. Through a comparative process tracing across three European countries, I investigate how multistakeholder partnerships in work integration contributed to institutional resilience in response to the economic and the refugee crises. I present these foremost as moral crises, where public, private, and nonprofit actors choose to engage or not engage out (...) of a sense of responsibility. I develop a framework and research propositions on how multistakeholder collaboration may increase institutional resilience when it is affected by moral crises and make three contributions: First, in contrast to the destructive effects of crises often stressed, I identify pull and push factors triggered by moral crises that may galvanize fragmented efforts into joint action. Second, I conceptualize nested contingencies of institutional resilience, by explaining how resilience is affected by interaction between (1) the capacity of existing institutions and the level of adversity produced by crises and (2) institutional precursors that new actor constellations can build on and crises challenge existing institutions directly or indirectly. Third, I conceptualize which type of actor is likely to take the lead, and under which context conditions, when multiple stakeholders engage in increasing institutional resilience. I derive implications on how anticipatory embedded agency can prevent crises and how moral pro-activity may not only benefit institutional resilience, but also the organizations who choose to act. (shrink)

Patients rely on, benefit from, and are strongly influenced by physicians’ recommendations. In spite of the centrality and importance of physicians’ recommendations to clinical care, there is only a scant literature describing the conceptual process of forming a clinical recommendation, and no discrete professional standards for making individual clinical recommendations. Evidence-based medicine and shared decision making together are intended to improve medical decision making, but there has been limited attention to how a recommendation is discretely formulated from either (...) of those processes or how patients’ preferences ought to be considered and how much weight they should hold. Moreover, physicians’ bias has been reported to strongly influence how a recommendation is derived, thereby undermining the quality of healthcare decisions and patients’ trust. To demonstrate a potential for improving the quality of decisions, this article proposes a conceptual framework for how physicians should reach a clinical recommendation and apply the process in practice. For preference-sensitive clinical decisions—that is, clinical decisions when patients’ values and preferences are relevant—the process for reaching a recommendation should be transparent to patients and should be based solely on the medical evidence and patients’ values and preferences. When patients’ preferences for care do not prioritize health, physicians decide whether their recommendation will prioritize a welfare-enhancing versus an autonomy-enhancing approach. When there are gaps in understanding how physicians derive their clinical recommendations and how to further improve the quality of the decisions, the author calls for further empiric research. (shrink)

In this paper, a personalized online education platform based on a collaborative filtering algorithm is designed by applying the recommendation algorithm in the recommendation system to the online education platform using a cross-platform compatible HTML5 and high-performance framework hybrid programming approach. The server-side development adopts a mature B/S architecture and the popular development model, while the mobile terminal uses HTML5 and framework to implement the function of recommending personalized courses for users using collaborative filtering and recommendation algorithms. (...) By improving the traditional recommendation algorithm based on collaborative filtering, the course recommendation results are more in line with users' interests, which greatly improves the accuracy and efficiency of the recommendation. On this basis, online teaching on this platform is divided into two modes: one mode is the original teacher uploads recorded teaching videos and students can learn by purchasing online or offline download; the other mode is interactive online live teaching. Each course is a separate online classroom; the teacher will publish online class information in advance, and students can purchase to get classroom number and password information online. (shrink)

In the July 2001 issue of the JournalofBiosocialScience Tina Moffat presents an interesting study from Nepal (Moffat, 2001). She refers to several studies, among them our study from Nepal’s neighbouring country Bhutan (Bøhler & Ingstad, 1996), to show that weaning practices are determined by different aspects of the environment, and thus cannot be made universal. However, she goes on to conclude that the recommendation of exclusive breast-feeding for 6 months may not be appropriate for the population she studied. This (...) part of her conclusion is, in my view, far from sufficiently supported by her data. (shrink)

These range from merely good reads to really outstanding books. A raw ranking of them would be of little use to others, unless I explained why I gave them the ranks I did, and anyway I'd probably give different rankings by the time your read this. (When I know of an on-line review about a book which I agree with --- e.g., because I wrote it --- I've included a link; also some exceedingly short remarks about interesting cases.).

Recommending the identity of bidders in public procurement auctions has a significant impact in many areas of public procurement, but it has not yet been studied in depth. A bidders recommender would be a very beneficial tool because a supplier can search appropriate tenders and, vice versa, a public procurement agency can discover automatically unknown companies which are suitable for its tender. This paper develops a pioneering algorithm to recommend potential bidders using a machine learning method, particularly a random forest (...) classifier. The bidders recommender is described theoretically, so it can be implemented or adapted to any particular situation. It has been successfully validated with a case study: an actual Spanish tender dataset which has 102,087 tenders from 2014 to 2020 and a company dataset which has 1,353,213 Spanish companies. Quantitative, graphical, and statistical descriptions of both datasets are presented. The results of the case study were satisfactory: the winning bidding company is within the recommended companies group, from 24% to 38% of the tenders, according to different test conditions and scenarios. (shrink)

This paper recommends how authors of statistical studies can communicate to general audiences fully, clearly, and comfortably. The studies may use statistical methods to explore issues in science, engineering, and society or they may address issues in statistics specifically. In either case, readers without explicit statistical training should have no problem understanding the issues, the methods, or the results at a non-technical level. The arguments for those results should be clear, logical, and persuasive. This paper also provides advice for editors (...) of general journals on selecting high quality statistical articles without the need for exceptional work or expense. Finally, readers are also advised to watch out for some common errors or misuses of statistics that can be detected without a technical statistical background. (shrink)

Recommender systems assist users in receiving preferred or relevant services and information. Using such technology could be instrumental in addressing the lack of relevance digital mental health apps have to the user, a leading cause of low engagement. However, the use of recommender systems for digital mental health apps, particularly those driven by personal data and artificial intelligence, presents a range of ethical considerations. This paper focuses on considerations particular to the juncture of recommender systems and digital mental health technologies. (...) While separate bodies of work have focused on these two areas, to our knowledge, the intersection presented in this paper has not yet been examined. This paper identifies and discusses a set of advantages and ethical concerns related to incorporating recommender systems into the digital mental health ecosystem. Advantages of incorporating recommender systems into DMH apps are identified as a reduction in choice overload, improvement to the digital therapeutic alliance, and increased access to personal data & self-management. Ethical challenges identified are lack of explainability, complexities pertaining to the privacy/personalization trade-off and recommendation quality, and the control of app usage history data. These novel considerations will provide a greater understanding of how DMH apps can effectively and ethically implement recommender systems. (shrink)

Nanomedicine is yielding new and improved treatments and diagnostics for a range of diseases and disorders. Nanomedicine applications incorporate materials and components with nanoscale dimensions where novel physiochemical properties emerge as a result of size-dependent phenomena and high surface-to-mass ratio. Nanotherapeutics and in vivo nanodiagnostics are a subset of nanomedicine products that enter the human body. These include drugs, biological products, implantable medical devices, and combination products that are designed to function in the body in ways unachievable at larger scales. (...) Nanotherapeutics andin vivonanodiagnostics incorporate materials that are engineered at the nanoscale to express novel properties that are medicinally useful. These nanomedicine applications can also contain nanomaterials that are biologically active, producing interactions that depend on biological triggers. Examples include nanoscale formulations of insoluble drugs to improve bioavailability and pharmacokinetics, drugs encapsulated in hollow nanoparticles with the ability to target and cross cellular and tissue membranes and to release their payload at a specific time or location, imaging agents that demonstrate novel optical properties to aid in locating micrometastases, and antimicrobial and drug-eluting components or coatings of implantable medical devices such as stents. (shrink)

This report analyses the relationship between RRI-like practices and competitive advantage. RRI frameworks have traditionally been less oriented towards their application in competitive environments; hence resulting in limitations to the applicability of some of its main tenets in industry and in the context of the development of a national competitive advantage. Aiming to close this gap and identify how a competitive advantage based on engagement in RRI-like practices across world regions may be developed, a systematic literature review, a survey and (...) case studies were carried out. Five main drivers of competitive advantage through RRI-like practices were identified: avoiding uncompetitive regulation, increasing social acceptance, incorporating stakeholder needs and tapping into new markets, increasing the efficiency of the innovation process, and reputational effects. On the other hand, four barriers were identified: obstacles during the research and innovation process, protecting intellectual property, lack of consumer awareness, and barriers derived from the institutional environment. The survey revealed that, while there are some differences in terms of attitudes and engagement in RRI-like practices across regions, both procedural and outcome dimensions were relevant. However, the application of particular practices in exercising such dimensions showed more variations across regions, reflecting adaption to local environments. In relation to competitive advantage, outcome dimensions and open and transparent innovation processes showed a clear relationship with performance, in particular with customer performance. The reason for this might lie in the increased visibility of such practices to the consumer. Two cases studies were carried out focusing on the management of socio-ethical concerns through RRI-like practices and their relationship with competitive advantage. The case on the bio-economy domain, identified different responses depending on local regulations and the focus placed on the development of competitive advantages at the micro and macro levels, and showcased the importance of domain specific considerations in RRI-like responses. The ICT case highlighted the importance of network approaches and second-order reflexivity, and the need to adapt RRI-like practices to local contexts to maximise their benefits for competitive advantage. Lastly, the analysis of the two cases concentrating on transversal issues made notable how strategic approaches to RRI and their proper integration in strategy showed an improved relation with competitive advantage. This study makes a significant contribution to existing research on RRI-like practices and competitive advantage and adds to the literature on business involvement in RRI that has been flourishing despite the tradition of overlooking RRI by actors in competitive environments. Moreover, it provides a set of practical recommendations for industry, policymakers, research performing organizations, research funding organizations, investors, civil society and NGOs and association bodies. These recommendations are oriented towards developing and sustaining a competitive advantage based on RRI-like practices by research and innovation actors, while supported by other stakeholders in the system. The advice is informed by the research study and proposes the need to tailor and adopt bottom-up approaches in the implementation of RRI-practices, integrating RRI-like logics and competitive advantage logics into organizational dynamic, and the need for collaboration among different actors, apart from recommendations particular to each stakeholder. (shrink)

Periodic tables (PTs) are the ‘ultimate paper tools’ of general and inorganic chemistry. There are three fields of open questions concerning the relation between PTs and physics: (i) the relation between the chemical facts and the concept of a periodic system (PS) of chemical elements (CEs) as represented by PTs; (ii) the internal structure of the PS; (iii)␣The relation between the PS and atomistic quantum chemistry. The main open questions refer to (i). The fuzziness of the concepts of chemical properties (...) and of chemical similarities of the CE and their compounds guarantees the autonomy of chemistry. We distinguish between CEs, Elemental Stuffs and Elemental Atoms. We comment on the basic properties of the basic elements. Concerning (ii), two sharp physical numbers (nuclear charge and number of valence electrons) and two coarse fuzzy ranges (ranges of energies and of spatial extensions of the atomic orbitals, AOs) characterize the atoms of the CEs and determine the two-dimensional structure of the PS. Concerning (iii), some relevant ‘facts’ about and from quantum chemistry are reviewed and compared with common ‘textbook facts’. What counts in chemistry is the whole set of nondiffuse orbitals in low-energy average configurations of chemically bonded atoms. Decisive for the periodicity are the energy gaps between the core and valence shells. Diffuse Rydberg orbitals and minute spin–orbit splittings are important in spectroscopy and for philosophers, but less so in chemical science and for the PS. (shrink)

This open access contributed volume examines the ethical and legal foundations of (future) policies on recommender systems and offers a transdisciplinary approach to tackle important issues related to their development, use and integration into online eco-systems. This volume scrutinizes the values driving automated recommendations - what is important for an individual receiving the recommendation, the company on which that platform was received, and society at large might diverge. The volume addresses concerns about manipulation of individuals and risks for personal (...) autonomy. From a legal perspective, the volume offers a much-needed evaluation of regulatory needs and lawmakers’ answers in various legal disciplines. The focus is on European Union measures of platform regulation, consumer protection and anti-discrimination law. The volume will be of particular interest to the community of legal scholars dealing with platform regulation and algorithmic decision making. By including specific use cases, the volume also exposes pitfalls associated with current models of regulation. Beyond the juxtaposition of purely ethical and legal perspectives, the volume contains truly interdisciplinary work on various aspects of recommender systems. (shrink)

In recent years, social networks have made significant progress and the number of people who use them to communicate is increasing day by day. The vast amount of information available on social networks has led to the importance of using friend recommender systems to discover knowledge about future communications. It is challenging to choose the best machine learning approach to address the recommender system issue since there are several strategies with various benefits and drawbacks. In light of this, a solution (...) based on the stacking approach was put out in this study to provide a buddy recommendation system in social networks. Additionally, a decrease in system performance was caused by the large amount of information that was accessible and the inefficiency of some functions. To solve this problem, a particle swarm optimization algorithm to select the most efficient features was used in our proposed method. To learn the model in the objective function of the particle swarm algorithm, a hybrid system based on stacking is proposed. In this method, two random forests and Extreme Gradient Boosting had been used as the base classifiers. The results obtained from these base classifiers were used in the logistic regression algorithm, which has been applied sequentially. The suggested approach was able to effectively address this issue by combining the advantages of the applied strategies. The results of implementation and evaluation of the proposed system show the appropriate efficiency of this method compared with other studied techniques. (shrink)

With the rapid development of the Internet, recommendation systems have received widespread attention as an effective way to solve information overload. Social tagging technology can both reflect users’ interests and describe the characteristics of the items themselves, making group recommendation thus becoming a recommendation technology in urgent demand nowadays. In traditional tag-based recommendation systems, the general processing method is to calculate the similarity and then rank the recommended items according to the similarity. Without considering the influence (...) of continuous user behavior, in this article, we propose a personalized recommendation algorithm based on social tags by combining the ideas of Markov chain and collaborative filtering. This algorithm splits the three-dimensional relationship of into two two-dimensional relationships of and. The user’s interest degree to the tags is calculated by the Markov chain model, and then the items corresponding to them are matched by the recommended tag set. The influence between tags is used to model the satisfaction of items based on the correlation between the tags contained in the matched items, and collaborative filtering is used to complete the sparse values when calculating the interest and satisfaction between user–tags and user–items to improve the accuracy of recommendations. The experiments show that in the publicly available dataset, the personalized recommendation algorithm proposed in this article has significantly improved in accuracy and recall rate compared with the existing algorithms. (shrink)

Gamification is increasingly being proposed as a strategy to increase engagement for mental health and wellbeing technologies. However, its implementation has been criticized as atheoretical, particularly in relation to behavior change theory and game studies theories. Definitions of the term “gamification” vary, sometimes widely, between and within academic fields and the effectiveness of gamification is yet to be empirically established. Despite this, enthusiasm for developing gamified mental health technologies, such as interventions, continues to grow. There is a need to examine (...) how best to implement gamification in mental health and wellbeing technologies in a way that takes quick production cycles into account while still emphasizing empirical investigation and building a rigorous evidence base. With reference to game studies and the medical literature, this article interrogates gamification for mental health and wellbeing by examining core properties of the game form. It then explores how gamification can best be conceptualized and implemented for mental health and wellbeing goals from conceptualization through to iterative co-development and evaluation that accommodates software development schedules. Finally, it summarizes its conceptual analysis into recommendations for researchers and designers looking to do so. These recommendations are: assess suitability, implement to support, assess acceptability, evaluate impact, and document comprehensively. These recommendations aim to encourage clear language, unified terminology, the application and evaluation of theory, comprehensive and constant documentation, and transparent evaluation of outcomes. (shrink)

Democratic legitimacy is rarely associated with private governance. After all, private actors are not legitimized through elections by a demos. Instead of abandoning democratic principles when entering the private sphere of governance, however, this article argues in favour of employing alternative criteria of democracy in assessments. Specifically, this article uses the criteria of participation, transparency and accountability to evaluate the democratic legitimacy of private food retail governance institutions. It pursues this evaluation of the democratic legitimacy of these institutions against the (...) background of their ambivalent impact on the sustainability of the global agrifood system. The paper refers to a range of cases of private retail standards with different governance structures and substantial foci to illustrate its argument. (shrink)

As a result of simultaneous developments, including the proliferation of opportunities for online feedback, the application of discourse ethics to journalism, and a greater emphasis on journalistic accountability, the time is ripe for revisiting opportunities that online mechanisms provide for holding journalists accountable to audiences. This paper proposes recommendations to guide hosting online comments in light of the Habermasian framework of discourse ethics developed by Glasser and Ettema (2008). It also explores the limits of such approaches in nations with different (...) press models, such as the development model as practiced in China. (shrink)

With the rapid development of information technology and data science, as well as the innovative concept of “Internet+” education, personalized e-learning has received widespread attention in school education and family education. The development of education informatization has led to a rapid increase in the number of online learning users and an explosion in the number of learning resources, which makes learners face the dilemma of “information overload” and “learning lost” in the learning process. In the personalized learning resource recommendation (...) system, the most critical thing is the construction of the learner model. Currently, most learner models generally have a lack of scientific focus that they have a single method of obtaining dimensions, feature attributes, and low computational complexity. These problems may lead to disagreement between the learner’s learning ability and the difficulty of the recommended learning resources and may lead to the cognitive overload or disorientation of learners in the learning process. The purpose of this paper is to construct a learner model to support the above problems and to strongly support individual learning resources recommendation by learning the resource model which effectively reduces the problem of cold start and sparsity in the recommended process. In this paper, we analyze the behavioral data of learners in the learning process and extract three features of learner’s cognitive ability, knowledge level, and preference for learning of learner model analysis. Among them, the preference model of the learner is constructed using the ontology, and the semantic relation between the knowledge is better understood, and the interest of the student learning is discovered. (shrink)

It is not unusual for patients and their families, when confronted with difficult medical choices, to ask their physicians for advice. This paper outlines the shades of meaning of two questions frequently put to physicians: “What should I do?” and “What would you do?” It is argued that these are not questions about objective matters of fact. Hence, any response to such questions requires an understanding, appreciation, and disclosure of the personal context and values that inform the recommendation. A (...) framework for considering and articulating a response to these questions is suggested, using as a heuristic the phrasing “If I were you…/If it were me…” Journal of Medical Ethics. (shrink)