Several authors have recently advocated a so-called new case for paternalism, according to which empirical findings from distinct decision sciences provide compelling reasons in favour of paternalistic interference. In their view, the available behavioural and neuro-psychological findings enable paternalists to address traditional anti-paternalistic objections and reliably enhance the well-being of their target agents. In this paper, I combine insights from decision-making research, moral philosophy and evidence-based policy evaluation to assess the merits of this case. In particular, I articulate (...) and defend three complementary arguments that, I claim, challenge even the best available calls for such case. In doing so, I identify the main justificatory challenges faced by the new paternalists and explicate the implications of these challenges for the ongoing philosophical debate about the justifiability of paternalistic interference. (shrink)

The hypothesis that human reasoning and decision-making can be roughly modeled by Expected Utility Theory has been at the core of decision science. Accumulating evidence has led researchers to modify the hypothesis. One of the latest additions to the field is Dual Process theory, which attempts to explain variance between participants and tasks when it comes to deviations from Expected Utility Theory. It is argued that Dual Process theories at this point cannot replace previous theories, since they, (...) among other things, lack a firm conceptual framework, and have no means of producing independent evidence for their case. (shrink)

ABSTRACTThe financial crisis of 2008 was unforeseen partly because the academic theories that underpin policy making do not sufficiently account for uncertainty and complexity or learned and evolved human capabilities for managing them. Mainstream theories of decision making tend to be strongly normative and based on wishfully unrealistic “idealized” modeling. In order to develop theories of actual decision making under uncertainty, we need new methodologies that account for how human actors often manage uncertain situations “well enough.” Some possibly (...) helpful methodologies, drawing on digital science, focus on the role of emotions in determining people's choices; others examine how people construct narratives that enable them to act; still others combine qualitative with quantitative data. (shrink)

A common type of change in science occurs as theorists generalize a model of a phenomenon by removing some idealizations of the model. This type of change occurs in the decision sciences and also in the normative branch of the decision sciences that treats rational choice. After presenting a general ac-count of model generalization, the paper illustrates generalization of models in normative decision theory. The principal illustration generalizes a standard model of rational choice by removing the (...) idealization that deliberation has no cost. (shrink)

As professional football stadiums continue to grow in popularity worldwide, fans are able to watch the game in closer proximity, but the design of professional football stadiums to shorten the distance between fans and the playing field also exacerbates the impact of the home advantage on the referee’s decision to call a penalty. Studies have confirmed the existence of the home advantage and found that experienced referees can reduce the impact of this interference, but the neural mechanisms behind this (...) phenomenon have not been adequately investigated. In this study, we designed a soccer referee decision making task based on a home field effect scenario in a real soccer game, and used event-related potentials to compare the decision making and EEG differences between individuals with different experience levels when faced with foul actions under spectator noise interference. The experiments showed that individuals with different experience levels triggered a significant ERN EEG component when performing the penalty decision task under the home field effect factor, suggesting that the interference of the home field effect may lead referees to correct their previous decision-making behavior patterns in the penalty decision and reduce unfavorable calls against the home team. In contrast, referees with officiating experience elicited smaller ERN amplitudes compared to other subjects, suggesting that experience factors may inhibit this tendency to change behavioral patterns. This study suggests that in response to the increasing trend of professional football stadiums, policy makers should place more emphasis on enhancing the experience level of referees in the training of referees to ensure the fairness of the game. (shrink)

In recent years, several authors have reconstructed the relationship between 20th-century economic theory and neuro-psychological research in terms of a three-stage narrative of initial unity, increasing separation, and ongoing reunification. In this article, I draw on major developments in economic theory and neuro-psychological research to provide a descriptive and normative critique of this reconstruction. Moreover, I put forward a reconstruction of the relationship between economics and neuro-psychology that, I claim, better fits both the available empirical evidence and the methodological foundations (...) of these disciplines. In doing so, I argue that recent calls to develop a unified interdisciplinary framework for modeling choice are premised on disputable presuppositions concerning both the domain of economic theory and the relationship between this theory’s axiomatic foundations and empirical findings about the neuro-psychological substrates of choice. (shrink)

Self-experimentation is uncommon in the decision sciences, but mental experiments are common; for example, intuition and introspection are often used by theoretical economists as justifications for their models. While introspection can be useful for the generation of ideas, it can also be overused and become a comfortable illusion for the theorist and an obstacle for science.

Ethical decision making involves complex emotional, cognitive, social, and philosophical challenges. Even if someone wants to be ethical, he or she may not have clearly articulated what that means, or know how to go about making a decision consistent with his or her values. Information technology may be able to help. A decision support system could offer individuals and groups some guidance, assisting them in making a decision that reflects their underlying values. The first step towards (...) a design science of ethical decision support is to develop a theoretical base on which first-generation systems can be built. This paper brings together work in cognitive, social and moral psychology, information systems, and philosophy relevant to ethical decision making. Attributes of a system that would support ethical decision making are described. (shrink)

As a step towards understanding how local environemntal hazards policy is made, this article explores how Canadian local elected officials gained and assimilated scientific and technical information about the environmental hazards facing their communities. Consistent with previous work in the hazards field, three of Weiss’s (1979) meanings of research utilization were found to be directly applicable. The elected officials expressed the view that reconciling conflicting expert opinion and competing concerns was more difficult and more rightly their responsibility than gathering information. (...) This research demonstrates the utility of focus groups for interviewing elite populations making community scale decisions. (shrink)

This paper examines the early years of decision making in the award of the Nobel Prize in physics and chemistry, and shows how the prize became a tool in the boundary work which upheld the social demarcations between scientists and inventors, as well as promoting a particular normative view of individual scientific achievement. The Nobel committees were charged with rewarding scientific achievements that benefited humankind: their interpretation of that criterion, however, turned in the first instance on their assessment of (...) the groundbreaking nature of the ‘science’, with the applied or practical ‘benefits’ of that discovery being treated as very much secondary factors in the award. Through an interrogation of the reports sent by the committees to the Royal Swedish Academy of Sciences, this paper shows how committee members depended on a notion of ‘post-dated utilitarianism’ in reconciling potential tension between rewarding basic and applied science, and explores the ways in which the annual prize both shaped, and was shaped by, media perceptions of scientific virtue. (shrink)

This paper focuses on the normative analysis—in the sense of the classic decision-theoretic formulation—of decision problems that arise in connection with forensic expert reporting. We distinguish this analytical account from other common types of decision analyses, such as descriptive approaches. While decision theory is, since several decades, an extensively discussed topic in legal literature, its use in forensic science is more recent, and with an emphasis on goals such as the analysis of the logical structure (...) of forensic expert conclusions regarding, for example, propositions of common source of evidential and known materials. Typical examples are so-called identification decisions, especially categorical conclusions according to which fingermarks come from a particular a person of interest. We will present and compare ways of stating forensic identification decisions in decision-theoretic terms and explain their underlying rationale. In particular, we will emphasize the importance of viewing this analysis as normative in the sense of providing a reflective rather than a prescriptive reference point against which people in charge of forensic identification decisions may compare their otherwise intuitive and informal reasoning, before acting. Normative decision analysis in forensic science thus provides a vector through which current practice can be articulated, scrutinized and rethought. (shrink)

More than 50 years after the publication of Thomas Kuhn’s seminal book, The Structure of Scientific Revolutions, this volume assesses the adequacy of the Kuhnian model in explaining certain aspects of science, particularly the social and epistemic aspects of science. One argument put forward is that there are no good reasons to accept Kuhn’s incommensurability thesis, according to which scientific revolutions involve the replacement of theories with conceptually incompatible ones. Perhaps, therefore, it is time for another “decisive transformation (...) in the image of science by which we are now possessed.” Only this time, the image of science that needs to be transformed is the Kuhnian one. Does the Kuhnian image of science provide an adequate model of scientific practice? If we abandon the Kuhnian picture of revolutionary change and incommensurability, what consequences would follow from that vis-à-vis our understanding of scientific knowledge as a social endeavour? -/- The essays in this collection continue this debate, offering a critical examination of the arguments for and against the Kuhnian image of science as well as their implications for our understanding of science as a social and epistemic enterprise. (shrink)

Current environmental problems and technological risks are a challenge for a new institutional arrangement of the value spheres of Science, Politics and Morality. Distinguished authors from different European countries and America provide a cross-disciplinary perspective on the problems of political decision making under the conditions of scientific uncertainty. cases from biotechnology and the environmental sciences are discussed. The papers collected for this volume address the following themes: (i) controversies about risks and political decision making; (ii) concepts of (...) science for policy; (iii) the use of social science in the policy making process; (iv) ethical problems with developments in science and technology; (v) public and state interests in the development and control of technology. (shrink)

Despite the importance of scientific integrity to the well-being of society, recent findings suggest that training and mentoring in the responsible conduct of research are not very reliable or effective inhibitors of research misbehavior. Understanding how and why individual scientists decide to behave in ways that conform to or violate norms and standards of research is essential to the development of more effective training programs and the creation of more supportive environments. Scholars in business management, psychology, and other disciplines have (...) identified many important factors that affect ethical behavior, including individual, contextual, and organizational factors. Surprisingly little research has been conducted to examine the role of these factors in either the development of ethical decision-making skills, or their applicability to ethical issues commonly encountered in research and other scholarly and professional activities. Interdisciplinary approaches combined with research and discipline relevant paradigms should greatly enhance understanding of the individual contextual and organizational factors involved in ethical and unethical research conduct. Such studies will inform and facilitate the development of more effective ethics education programs in the sciences and engineering professions. (shrink)

When making decisions, people naturally face uncertainty about the potential consequences of their actions due in part to limits in their capacity to represent, evaluate or deliberate. Nonetheless, they aim to make the best decisions possible. In Decision Theory with a Human Face, Richard Bradley develops new theories of agency and rational decision-making, offering guidance on how 'real' agents who are aware of their bounds should represent the uncertainty they face, how they should revise their opinions as a (...) result of experience and how they should make decisions when lacking full awareness of, or precise opinions on relevant contingencies. He engages with the strengths and flaws of Bayesian reasoning, and presents clear and comprehensive explorations of key issues in decision theory, from belief and desire to semantics and learning. His book draws on philosophy, economics, decision science and psychology, and will appeal to readers in all of these disciplines. (shrink)

Academic and public debates are increasingly concerned with the question whether and how algorithmic decision-making may reinforce social inequality. Most previous research on this topic originates from computer science. The social sciences, however, have huge potentials to contribute to research on social consequences of ADM. Based on a process model of ADM systems, we demonstrate how social sciences may advance the literature on the impacts of ADM on social inequality by uncovering and mitigating biases in training data, by (...) understanding data processing and analysis, as well as by studying social contexts of algorithms in practice. Furthermore, we show that fairness notions need to be evaluated with respect to specific outcomes of ADM systems and with respect to concrete social contexts. Social sciences may evaluate how individuals handle algorithmic decisions in practice and how single decisions aggregate to macro social outcomes. In this overview, we highlight how social sciences can apply their knowledge on social stratification and on substantive domains of ADM applications to advance the understanding of social impacts of ADM. (shrink)

A constant refrain in both public discourse and academic research on shale gas development has been the necessity for 'sound science' to govern policy decisions. Rare, however, is the recommendation that effective policy on this topic also include 'sound moral thought'. I argue that: (1) philosophy (particularly moral thought and ethical reasoning) and science must work in tandem for making good policy decisions related to shale gas development, and (2) this realisation is essential for policy-makers, journalists, researchers, educators (...) and the public. By examining the range of normative claims offered within academic and public discourse, the variation in claims across contexts and the degree to which the normative arguments are well-supported, I illustrate the important role increased attention to moral thought could play in forwarding policy construction on shale gas development. Finally, I offer recommendations for how policy-makers, journalists, researchers and educators can more actively acknowledge the importance of both science and moral thought in policy-making related to shale gas development. (shrink)

Is Bayesian decision theory a panacea for many of the problems in epistemology and the philosophy of science, or is it philosophical snake-oil? For years a debate had been waged amongst specialists regarding the import and legitimacy of this body of theory. Mark Kaplan had written the first accessible and non-technical book to address this controversy. Introducing a new variant on Bayesian decision theory the author offers a compelling case that, while no panacea, decision theory does (...) in fact have the most profound consequences for the way in which philosophers think about inquiry, criticism and rational belief. The new variant on Bayesian theory is presented in such a way that a non-specialist will be able to understand it. The book also offers new solutions to some classic paradoxes. It focuses on the intuitive motivations of the Bayesian approach to epistemology and addresses the philosophical worries to which it has given rise. (shrink)

Decision-making has traditionally been modelled as a serial process, consisting of a number of distinct stages. The traditional account assumes that an agent first acquires the necessary perceptual evidence, by constructing a detailed inner repre- sentation of the environment, in order to deliberate over a set of possible options. Next, the agent considers her goals and beliefs, and subsequently commits to the best possible course of action. This process then repeats once the agent has learned from the consequences of (...) her actions and subsequently updated her beliefs. Under this interpretation, the agent’s body is considered merely as a means to report the decision, or to acquire the relevant goods. However, embodied cognition argues that an agent’s body should be understood as a proper part of the decision-making pro- cess. Accepting this principle challenges a number of commonly held beliefs in the cognitive sciences, but may lead to a more unified account of decision-making. This thesis explores an embodied account of decision-making using a recent frame- work known as predictive processing. This framework has been proposed by some as a functional description of neural activity. However, if it is approached from an embodied perspective, it can also offer a novel account of decision-making that ex- tends the scope of our explanatory considerations out beyond the brain and the body. We explore work in the cognitive sciences that supports this view, and argue that decision theory can benefit from adopting an embodied and predictive perspective. (shrink)

An incrementalist view of the R&Dprocess is developed, according to which R&D consists of informed trial and error. One way of avoiding expensive mistakes is to avoid choices within the R&D program that are highly sensitive to a particular scientific claim, because a great deal of time and money may have been spent to no avail should the claim turn out to befalse. The incremental view of R&D therefore entails that no choice within any R&D program is sensitive to any (...) scientific claim made at the time. Two tests are presented, antiseptic surgery and the first atomic pile, both of which confirm the incrementalist thesis. (shrink)

Is Bayesian decision theory a panacea for many of the problems in epistemology and the philosophy of science, or is it philosophical snake-oil? For years a debate had been waged amongst specialists regarding the import and legitimacy of this body of theory. Mark Kaplan had written the first accessible and non-technical book to address this controversy. Introducing a new variant on Bayesian decision theory the author offers a compelling case that, while no panacea, decision theory does (...) in fact have the most profound consequences for the way in which philosophers think about inquiry, criticism and rational belief. The new variant on Bayesian theory is presented in such a way that a non-specialist will be able to understand it. The book also offers new solutions to some classic paradoxes. It focuses on the intuitive motivations of the Bayesian approach to epistemology and addresses the philosophical worries to which it has given rise. (shrink)

This article analyses how normative decision theory is understood by economists. The paradigmatic example of normative decision theory, discussed in the article, is the expected utility theory. It...

Voluntary Consensus Standards are commerce-related documents developed by interested volunteers under due-process procedures which ensure that the concerns of all parties are fairly taken into account. Standards are beneficial to society because they promote commerce and lower the costs of and barriers to doing business. Because of this, conformance to a standard can confer significant competitive advantage.Vigorous, democratic competition between ideas leads to a high- quality standard. Some participants in the standards-development process will, against the general interest, attempt to skew (...) a standard to favor a specific product, service, or practice. In order prevent this sort of abuse, rules are written to prevent any common-interest block from overwhelming the general interest. Unfettered debate is fostered by having no rules defining volunteer-member misconduct, eliminating any possibility that a majority will improperly use such rules to silence a minority. This unfortunately permits the rare but not-hypothetical situation where those unscrupulous and determined, or those out of control, are able to engage in obstructionism and misconduct without any possibility of penalty. (shrink)

Name der Zeitschrift: Cognitive Linguistics Jahrgang: 27 Heft: 4 Seiten: 507-526.

Despite significant ethical advances in recent years, including professional developments in ethical review and codification, research deception continues to be a pervasive practice and contentious focus of debate in the behavioral sciences. Given the disciplines' generally stated ethical standards regarding the use of deceptive procedures, researchers have little practical guidance as to their ethical acceptability in specific research contexts. We use social contract theory to identify the conditions under which deception may or may not be morally permissible and formulate practical (...) recommendations to guide researchers on the ethical employment of deception in behavioral science research. (shrink)

Decision Theory and Rationality offers a challenging new interpretation of a key theoretical tool in the human and social sciences. This accessible book argues, contrary to orthodoxy in politics, economics, and management science, that decision theory cannot provide a theory of rationality.

This article examines adaptive resource management as it has been applied to the US horseshoe crab fishery over the past decade. As a critical yet constructive exercise, I have three goals: to suggest how adaptive management, for all its promise, can still be improved; to add a nuanced case study to the literatures on the quantification of nature and environmental decision-making; and to use the example of ARM to make certain temporal aspects of contemporary natural resource management more salient (...) to science and technology studies scholars—that is, to show the ways in which time matters in environmental science, policy, and the analysis thereof. I draw attention to the time-related aspects of adaptive management by developing the notions of temporal orientation and chronological accountability. Temporal orientation refers to the time-based perspectives and epistemological commitments—that is, past-facing empiricism versus future-oriented modeling—that scientists of different types bring to bear on environmental problems. Chronological accountability refers to the missing link in adaptive forms of environmental governance: firm time lines and commitments to reflexively revisit management decisions. The time-related aspects of natural resource management deserve greater attention among both environmental managers and analysts of environmental policy. (shrink)

In the past few years, the ethical ramifications of AI technologies have been at the center of intense debates. Considerable attention has been devoted to understanding how a morally responsible practice of data science can be promoted and which values have to shape it. In this context, ethics and moral responsibility have been mainly conceptualized as compliance to widely shared principles. However, several scholars have highlighted the limitations of such a principled approach. Drawing from microethics and the virtue theory (...) tradition, in this paper, we formulate a different approach to ethics in data science which is based on a different conception of “being ethical” and, ultimately, of what it means to promote a morally responsible data science. First, we develop the idea that, rather than only compliance, ethical decision-making consists in using certain moral abilities, which are cultivated by practicing and exercising them in the data science process. An aspect of virtue development that we discuss here is moral attention, which is the ability of data scientists to identify the ethical relevance of their own technical decisions in data science activities. Next, by elaborating on the capability approach, we define a technical act as ethically relevant when it impacts one or more of the basic human capabilities of data subjects. Therefore, rather than “applying ethics”, data scientists should cultivate ethics as a form of reflection on how technical choices and ethical impacts shape one another. Finally, we show how this microethical framework concretely works, by dissecting the ethical dimension of the technical procedures involved in data understanding and preparation of electronic health records. (shrink)

Although empirical evidence may provide a much desired sense of certainty amidst a pandemic characterised by uncertainty, the vast gamut of available COVID-19 data, including misinformation, has instead increased confusion and distrust in authorities’ decisions. One key lesson we have been gradually learning from the COVID-19 pandemic is that the availability of empirical data and scientific evidence alone do not automatically lead to good decisions. Good decision-making in public health policy, this paper argues, does depend on the availability of (...) reliable data and rigorous analyses, but depends above all on sound ethical reasoning that ascribes value and normative judgement to empirical facts. (shrink)

BackgroundResearch misconduct and questionable research practices have been the subject of increasing attention in the past few years. But despite the rich body of research available, few empirical works also include the perspectives of non-researcher stakeholders.MethodsWe conducted semi-structured interviews and focus groups with policy makers, funders, institution leaders, editors or publishers, research integrity office members, research integrity community members, laboratory technicians, researchers, research students, and former-researchers who changed career to inquire on the topics of success, integrity, and responsibilities in (...) class='Hi'>science. We used the Flemish biomedical landscape as a baseline to be able to grasp the views of interacting and complementary actors in a system setting.ResultsGiven the breadth of our results, we divided our findings in a two-paper series with the current paper focusing on the problems that affect the integrity and research culture. We first found that different actors have different perspectives on the problems that affect the integrity and culture of research. Problems were either linked to personalities and attitudes, or to the climates in which researchers operate. Elements that were described as essential for success were often thought to accentuate the problems of research climates by disrupting research culture and research integrity. Even though all participants agreed that current research climates need to be addressed, participants generally did not feel responsible nor capable of initiating change. Instead, respondents revealed a circle of blame and mistrust between actor groups.ConclusionsOur findings resonate with recent debates, and extrapolate a few action points which might help advance the discussion. First, the research integrity debate must revisit and tackle the way in which researchers are assessed. Second, approaches to promote better science need to address the impact that research climates have on research integrity and research culture rather than to capitalize on individual researchers’ compliance. Finally, inter-actor dialogues and shared decision making must be given priority to ensure that the perspectives of the full research system are captured. Understanding the relations and interdependency between these perspectives is key to be able to address the problems of science.Study registrationhttps://osf.io/33v3m. (shrink)

Après avoir indiqué ce qu’il entend par Mathématiques pures et par Théorie de la connaissance, Vuillemin annonce, dans l’Introduction au premier tome de La Philosophie de l’algèbre, que son but est double. En considérant le « rapport étroit » et l’« affinité d’inspiration » entre ces deux disciplines, il se propose d’examiner, d’une part, « comment une connaissance pure est possible » et, d’autre part, de « critiquer, reformer et définir, autant qu’il se pourra, la méthode propre à la philosophie (...) théorique » grâce aux « analogies » repérées dans la connaissance mathématique. Ce double but dérive du constat, reposant sur l’analyse de l’histoire des mathématiques et de la philosophie, qu’« un renouvellement des méthodes de celles-là a, à chaque fois, des répercussions sur celle-ci ». Les renouvellements des méthodes que les mathématiques modernes induisent portent essentiellement, selon Vuillemin, sur les notions de structure, d’infini et de logique. Le deuxième tome de La Philosophie de l’algèbre devait donc montrer comment définir la méthode propre à la philosophie théorique. On essaiera de montrer comment le dernier chapitre du premier tome de cet ouvrage contient en soi des difficultés qui commanderont l’abandon du projet et comment l’idée de pluralisme qui y est esquissée exige une refonte conceptuelle que Vuillemin ne fournira que plus de vingt ans après. (shrink)

The following definitions and explanations are decisions formulated arbitrarily in a sense. However, the underlying assumptions serving as a guide to their formulation are found in both pragmatism and logical positivism. Yet there has been some confusion of the difference between definitions, axioms, postulates, etc., and as a result there is a confusion of certain phases of formal and factual knowledge. For example, one notices in C. I. Lewis' works that all formal statements are thought of as “definitive.” A more (...) effective word, I believe, is “prescriptive.” Axioms are prescriptive, yet, as will be seen below, they are not definitions, and no one in practice conceives of them as such, as can be seen in mathematical works. Axioms prescribe the logical relationship between two or more concepts or words. If interpreted, the factual referents of the words, whose logical relations have been prescribed in axioms, are different. This is not the case with definitions. (shrink)

Bovine tuberculosis is the most economically important animal health policy issue in Britain. The problem of what to do about badgers has plagued successive governments since a dead badger was discovered with bovine TB in 1971. Successive Labour governments oversaw the Randomised Badger Culling Trial from 1998 to 2006. Despite the RBCT recommendation against culling, the 2010–2015 Coalition government implemented pilot badger culls. This paper provides an account of the evolution of bovine TB and badger control policy, focusing on the (...) 1997–2010 Labour, the 2010–2015 Coalition and the 2015-present Conservative governments. Interviews with bovine TB policy stakeholders supplement discussion of the development of bovine TB policy. The paper discusses the science and politics of bovine TB policy, in which there are different badger control policies in Westminster, Welsh and Scottish governments. Badger control is a highly polarised issue, and the Coalition and Conservative governments have been heavily criticised for a culling policy opposed by the independent scientific community. Recent governments have defended badger culling on the basis of veterinary advice and experience in countries such as New Zealand. The paper concludes with two key recommendations to inform controversial animal health and welfare policy issues such as bovine TB. First, mandatory Animal Welfare Impact Assessment provides objective data on the impacts of policy options on cows and badgers. Second, robust ethical analysis, conducted by independent experts using established moral frameworks, should be applied to animal health and welfare issues for the benefit of decision makers. (shrink)

A general view in philosophy of science says that the appropriateness of an object to act as a surrogate depends on the user’s decision to utilize it as such. This paper challenges this claim by examining the role of surrogative reasoning in high-throughput sequencing technologies as they are used in contemporary microbiome science. Drawing on this, we argue that, in technology-driven surrogates, knowledge about the type of inference practically permitted and epistemically justified by the surrogate constrains their (...) use and thus puts a limit to the user’s intentions to use any object as a surrogate for what they please. Ignoring this leads to a serious epistemic misalignment, which ultimately prevents surrogative reasoning. Thus, we conclude that knowledge about the type of surrogate reasoning that the technologies being used allow is fundamental to avoid misinterpreting the consequences of the data obtained with them, the hypothesis this data supports, and what these technologies are surrogates of. (shrink)