This paper provides a restatement and defense of the data/ phenomena distinction introduced by Jim Bogen and me several decades ago (e.g., Bogen and Woodward, The Philosophical Review, 303–352, 1988). Additional motivation for the distinction is introduced, ideas surrounding the distinction are clarified, and an attempt is made to respond to several criticisms.

The distinction between data and phenomena introduced by Bogen and Woodward (Philosophical Review 97(3):303–352, 1988) was meant to help accounting for scientific practice, especially in relation with scientific theory testing. Their article and the subsequent discussion is primarily viewed as internal to philosophy of science. We shall argue that the data/phenomena distinction can be used much more broadly in modelling processes in philosophy.

The paper rebuts a currently popular criticism against a certain take on the referential role of discontinuities and singularities in the physics of first-order phase transitions. It also elaborates on a proposal I made previously on how to understand this role within the framework provided by the distinction between data and phenomena.

Bogen and Woodward (1988) advance adistinction between data and phenomena. Roughly, theformer are the observations reported by experimentalscientists, the latter are objective, stable featuresof the world to which scientists infer based onpatterns in reliable data. While phenomena areexplained by theories, data are not, and so theempirical basis for an inference to a theory consistsin claims about phenomena. McAllister (1997) hasrecently offered a critique of their version of thisdistinction, offering in its place a version on (...) whichphenomena are theory laden, and hence on which theempirical support for inferences to theories is also,unavoidably, theory laden. In this commentary I arguethat McAllister and Bogen and Woodward are mistaken inthinking that the distinction is necessary, and thatthe empirical support for inferences to theories isnot necessarily theory laden in the way McAllister'saccount entails they are. (shrink)

According to standard (quantum) statistical mechanics, the phenomenon of a phase transition, as described in classical thermodynamics, cannot be derived unless one assumes that the system under study is infinite. This is naturally puzzling since real systems are composed of a finite number of particles; consequently, a well‐known reaction to this problem was to urge that the thermodynamic definition of phase transitions (in terms of singularities) should not be “taken seriously.” This article takes singularities seriously and analyzes their role by (...) using the well‐known distinction between data and phenomena , in an attempt to better understand the origin of the puzzle. *Received April 2009; revised July 2009. †To contact the author, please write to: University of Cambridge, Department of History and Philosophy of Science, Free School Lane, Cambridge CB2 3RH, United Kingdom; e‐mail: [email protected]. (shrink)

Van Fraassen argues that data provide the target-end structures required by structuralist accounts of scientific representation. But models represent phenomena not data. Van Fraassen agrees but argues that there is no pragmatic difference between taking a scientific model to accurately represent a physical system and accurately represent data extracted from it. In this article I reconstruct his argument and show that it turns on the false premise that the pragmatic content of acts of representation include doxastic (...) commitments. (shrink)

The papers collected here are the result of an INTERNATIONAL SYMPOSIUM: Data · Phenomena · Theories: What’s the notion of a scientific phenomenon good for? held in Heidelberg in September 2008. The event was organized by the research group Causality, Cognition, and the Constitution of Scientific Phenomena in cooperation with Philosophy Department at the University of Heidelberg (Peter McLaughlin and Andreas Kemmerling) and the IWH Heidelberg. The symposium was supported by the Emmy-Noether-Programm der Deutschen Forschungsgemeinschaft and by (...) Stiftung Universitat Heidelebrg . The workshop was held in honor of Daniela Bailer-Jones, who died on 13 November 2006 at the age of 37 (cf. my 2007 Daniela Bailer-Jones ). Bailer-Jones was an Emmy Noether fellow, and the symposium was arranged and run by those who were working in her research group at the time of her death: Monika Dullstein, Jochen Apel, and Pavel Radchencko. To them goes the credit for the conception, planning, and carrying out of the symposium. (shrink)

Bogen and Woodward characterized data as embedded in the context in which they are produced (‘local’) and claims about phenomena as retaining their significance beyond that context (‘nonlocal’). This view does not fit sciences such as biology, which successfully disseminate data via packaging processes that include appropriate labels, vehicles, and human interventions. These processes enhance the evidential scope of data and ensure that claims about phenomena are understood in the same way across research communities. I (...) conclude that the degree of locality of both data and claims about phenomena varies depending on the packaging used to make them travel and on the research setting in which they are used. †To contact the author, please write to: ESRC Centre for Genomics in Society, University of Exeter, Byrne House, St. Germans Road, EX4 4PJ Exeter, United Kingdom; e‐mail: [email protected]. (shrink)

This paper draws attention to an increasingly common method of using computer simulations to establish evidential standards in physics. By simulating an actual detection procedure on a computer, physicists produce patterns of data (‘signatures’) that are expected to be observed if a sought-after phenomenon is present. Claims to detect the phenomenon are evaluated by comparing such simulated signatures with actual data. Here I provide a justification for this practice by showing how computer simulations establish the reliability of detection (...) procedures. I argue that this use of computer simulation undermines two fundamental tenets of the Bogen–Woodward account of evidential reasoning. Contrary to Bogen and Woodward’s view, computer-simulated signatures rely on ‘downward’ inferences from phenomena to data. Furthermore, these simulations establish the reliability of experimental setups without physically interacting with the apparatus. I illustrate my claims with a study of the recent detection of the superfluid-to-Mott-insulator phase transition in ultracold atomic gases. (shrink)

This article has two aims. The first is to introduce some novel data that highlight rather surprising pragmatic abilities in autism spectrum disorder (ASD). The second is to consider a possible implication of these data for an emerging empirical methodology in philosophy of language and mind. In pursuing the first aim, we expect our main audience to be clinicians and linguists interested in pragmatics. It is when we turn to methodological issues that we hope to pique the interest (...) of philosophers. Still, the methodological issue becomes pressing precisely because of the empirical finding—thus the first part is important for the philosophical readers as well. The game plan is as follows. Given our intended dual audience, we begin with background on autism and pragmatics. Some of this material will be familiar to some of our readership, but few will know all of it. (Those who do are invited to skip these sections.) We then present some results from our pilot study on a corpus of speech by people with ASD. The heart of our finding is that certain speakers with ASD, who have severe trouble with familiar pragmatic phenomena such as metaphor and conversational implicature, exhibit surprising abilities with respect to what is often called “pragmatic determinants of what is said.” We turn next to a possible implication of this finding: It seems to suggest that hitherto seemingly promising evidence from ASD about the semantics/pragmatics boundary is.. (shrink)

This paper investigates some metaphysical and epistemological assumptions behind Bogen and Woodward’s data-to-phenomena inferences. I raise a series of points and suggest an alternative possible Kantian stance about data-to-phenomena inferences. I clarify the nature of the suggested Kantian stance by contrasting it with McAllister’s view about phenomena as patterns in data sets.

The theory of knowledge in early twentieth-century Anglo American philosophy was oriented toward phenomenally described cognition. There was a healthy respect for the mind-body problem, which meant that phenomena in both the mental and physical domains were taken seriously. Bertrand Russell's developing position on sense-data and momentary particulars drew upon, and ultimately became like, the neutral monism of Ernst Mach and William James. Due to a more recent behaviorist and physicalist inspired "fear of the mental", this development has (...) been down-played in historical work on early analytic philosophy. Such neglect assumes that the "linguistic turn" is a proper and permanent effect of twentieth-century philosophy, an assumption that distorts early analytic historiography, and begs a substantive philosophical question about thought and cognition. (shrink)

Some twenty years ago, Bogen and Woodward challenged one of the fundamental assumptions of the received view, namely the theory-observation dichotomy and argued for the introduction of the further category of scientific phenomena. The latter, Bogen and Woodward stressed, are usually unobservable and inferred from what is indeed observable, namely scientific data. Crucially, Bogen and Woodward claimed that theories predict and explain phenomena, but not data. But then, of course, the thesis of theory-ladenness, which has it (...) that our observations are influenced by the theories we hold, cannot apply. On the basis of two case studies, I want to show that this consequence of Bogen and Woodward’s account is rather unrealistic. More importantly, I also object against Bogen and Woodward’s view that the reliability of data, which constitutes the precondition for data-to-phenomena inferences, can be secured without the theory one seeks to test. The case studies I revisit have figured heavily in the publications of Bogen and Woodward and others: the discovery of weak neutral currents and the discovery of the zebra pattern of magnetic anomalies. I show that, in the latter case, data can be ignored if they appear to be irrelevant from a particular theoretical perspective (TLI) and that, in the former case, the tested theory can be critical for the assessment of the reliability of the data (TLA). I argue that both TLI and TLA are much stronger senses of theory-ladenness than the classical thesis and that neither TLI nor TLA can be accommodated within Bogen and Woodward’s account. (shrink)

This paper explores how data serve as evidence for phenomena. In contrast to standard philosophical models which invite us to think of evidential relationships as logical relationships, I argue that evidential relationships in the context of data-to-phenomena reasoning are empirical relationships that depend on holding the right sort of pattern of counterfactual dependence between the data and the conclusions investigators reach on the phenomena themselves.

In response to calls to forget and unthink photography this article considers the computational environment and its consequences for the image making. What is there to know about images that are networked and generated with data processing techniques rather than with light and chemistry? How to analyse images and read what they are and what they represent, beyond what is visible in the picture? The article argues that glitches while aesthetically capturing errors in the machine point to broader conditions (...) of image making revealing systemic errors and not only its momentary technical failures. To explore digital images as affective phenomena to be sensed, the article looks at how glitch and its operations have been used by artists to generate digital images, and most importantly how they reveal computational systems as technical objects and affective infrastructures where discrimination is not an error but part of the system. (shrink)

Bogen and Woodward claim that the function of scientific theories is to account for 'phenomena', which they describe both as investigator-independent constituents of the world and as corresponding to patterns in data sets. I argue that, if phenomena are considered to correspond to patterns in data, it is inadmissible to regard them as investigator-independent entities. Bogen and Woodward's account of phenomena is thus incoherent. I offer an alternative account, according to which phenomena are investigator-relative (...) entities. All the infinitely many patterns that data sets exhibit have equal intrinsic claim to the status of phenomenon: each investigator may stipulate which patterns correspond to phenomena for him or her. My notion of phenomena accords better both with experimental practice and with the historical development of science. (shrink)

This essay attempts to provide additional motivation for the data/phenomena framework advocated in Bogen and Woodward, “Saving the Phenomena”.

Although it has been something of a fetish for philosophers to distinguish between hallucination and illusion, the enduring problems for philosophy of perception that both phenomena present are not essentially different. Hallucination, in its pure philosophical form, is just another example of the philosopher’s penchant for considering extreme and extremely idealized cases in order to understand the ordinary. The problem that has driven much philosophical thinking about perception is the problem of how to reconcile our evident direct perceptual contact (...) with objects and properties with the equally evident fact that there is no phenomenological signal separating error and truth. “The obscure object of hallucination” offers a subtle and plausible solution to this problem and one that solves the problem generally, not just in the special case of hallucination. Johnston’s objective is to offer a theory of perception that meets two constraints: (1) that it provide an explanation of the possibility of delusive and veridical sensings that are indistinguishable from the first-person perspective and (2) that it count as form of direct realism where this is taken to involve acquaintance with the objects of perception. Johnston uses the first constraint to rule out disjunctivism. The second constraint is used to rule out conjunctivism, which as Johnston uses the term, includes most of the widely adopted philosophical theories of perception. Johnston also develops his own sophisticated and interesting theory of perception. In what follows, I will discuss the relation of Johnston’s theory to conjunctivism, examine one of his anti-conjunctivist arguments and finally compare Johnston’s theory with some other versions of direct realism. These topics constitute a very incomplete selection of the important issues discussed in this rich and interesting paper. I will also not disagree, in any fundamental way, with any of the central theses of Johnston’s discussion.. (shrink)

Se analizan ciertos conceptos del estructuralismo empirista de Bas van Fraassen, en particular, el de representación, para intentar una crítica a su posición con respecto al vínculo entre los modelos de las teorías y, en última instancia, el mundo físico por medio de los modelos de datos, a los cuales van Fraassen les adjudica el papel de representantes de los fenómenos. Al final se delinea, a muy grandes rasgos, una alternativa conceptualista. The article analyzes certain concepts of the empiricist structuralism (...) of Bas van Fraassen, particularly that of representation, in order to carry out a critique of his position with respect to the link between the models of the theories and, ultimately, the physical world, through data models to which van Fraassen grants the role of representatives of phenomena. Finally, the article outlines a conceptualist alternative. (shrink)

The issue of materialism has recently been raised again. Mr. Putnam argues against philosophical behaviorism [4]. Such a position holds, as he construes it, that statements like ‘Jones is angry’ can be analyzed in solely behavioral terms. When one argues against philosophical behaviorism, he might be expected to distinguish this metaphysical position from behavior science. Putnam, however, does not make the distinction. Consequently he argues against both. I shall first state the distinction between these two different things, namely, philosophical behaviorism (...) and behavior science, as I see it. The behavior scientist adopts the thesis that in principle it is possible to predict future behavior on the basis of data concerning environmental, behavioral, and physiological variables. All three of these he considers in physical terms. The behavior scientist thus speaks about physical objects and properties of such. Talking in such terms, he believes that it is in principle possible to coordinate to statements asserting that person X has or is in state of mind Y another statement, employing only the above mentioned physical terms, such that either both are true or both are false. The reasons for the behavior scientist's program are the well known quandaries involved in the observation of other people's minds and the need for intersubjective verification in science. One can further distinguish between a narrower and a broader view of behavior science. The former restricts itself to environmental and behavioral variables at what some call the macro level; the latter includes, or even concentrates upon, physiological variables. As scientists neither the behaviorist nor the physiologist asks or answers philosophical questions, either epistemological or ontological, about minds, bodies, and mental contents. (shrink)

El presente escrito se propone presentar el modelo de tres niveles del conocimiento científico (datos, fenómenos y teorías) desde los recientes resultados de la filosofía de la ciencia obtenidos por dos perspectivas filosóficas particulares: el nuevo experimentalismo y el enfoque semántico de las teorías. Para ello contrasta los planteamientos principales de estas dos perspectivas con el modelo de dos niveles del conocimiento científico (observación y teoría) del positivismo lógico, que dominó el panorama de la filosofía de la ciencia en las (...) primeras seis décadas del siglo XX. (shrink)

There has been a spurt in both fundamental and translational research that examines the underlying mechanisms of the human microbiome in psychiatric disorders. The personalized and dynamic features of the human microbiome suggest the potential of its manipulation for precision psychiatry in ways to improve mental health and avoid disease. However, findings in the field of microbiome also raise philosophical and ethical questions. From a philosophical point of view, they may yet be another attempt at providing a biological cause for (...) phenomena that ultimately cannot be so easily localized. From an ethical point of view, it is relevant that the human gut microbiome comprises data on the individual’s lifestyle, disease history, previous medications, and mental health. Massive datasets of microbiome sequences are collected to facilitate comparative studies to identify specific links between the microbiome and mental health. Although this emerging research domain may show promise for psychiatric patients, it is surrounded by ethical challenges regarding patient privacy, health risks, effects on personal identity, and concerns about responsibility. This narrative overview displays the roles and advances of microbiome research in psychiatry and discusses the philosophical and ethical implications of microbiome big data and microbiome-based interventions for psychiatric patients. We also investigate whether these issues are really “new,” or “old wine in new bottles.”. (shrink)

• Conventional data mining infers relations among e.g. the fraction of supermarket baskets with diapers also contain beer. • Phenomenal data mining concerns relations between data and the phenomena underlying the data, e.g. y married couples keeping old friends buy diapers and • Example: The sales receipts of a supermarket usually not identify the customers. Grouping baskets by customer is possible and useful but requires new techniques.

Resumen: El rápido avance de la digitalización y la hiperconectividad de las sociedades modernas en los últimos años ha dado lugar a la dataficación de la vida de las personas y a la revolución del big data. Estos dos fenómenos presentan un gran potencial que puede originar múltiples beneficios en multitud de aspectos de la vida de los ciudadanos, pero también hay que tener en cuenta las implicaciones y los peligros de estos. Este artículo se centra en los peligros (...) provocados por las grandes corporaciones tecnológicas del planeta, las denominadas GAFAM (Google, Amazon, Facebook, Apple y Microsoft). Los procesos de extracción, almacenamiento y análisis de datos de la vida de las personas llevados a cabo por las GAFAM presentan diversas implicaciones peligrosas para los propios ciudadanos entre las que destacan la monopolización de sus datos y la perdida de privacidad. En este artículo se profundizará en estas dos amenazas. Utilizando una metodología hermenéutico-crítica basada en el análisis de fuentes bibliográficas, el objetivo de este artículo es examinar los principales riesgos de las GAFAM para la ciudadanía y proponer soluciones a estos. Abstract: The rapid advance of digitization and hyperconnectivity of modern societies has led to the datafication of people's lives and the big data revolution. These two phenomena have great potential that can cause multiple benefits in many aspects of citizens' lives, but their implications and dangers must also be considered. This article focuses on the dangers caused by the large technology corporations on the planet, the so-called GAFAM (Google, Amazon, Facebook, Apple, and Microsoft). The processes of extraction, storage, and analysis of data from people's lives carried out by the GAFAM have various dangerous implications for the citizens themselves, among which stand out the monopolization of their data and the loss of privacy. This article will delve into these two threats. Using a hermeneutical-critical methodology based on the analysis of bibliographic sources, the objective of this article is to examine the main risks of GAFAM for citizens and propose solutions to them. (shrink)

Contemporary Information Systems management incorporates the need to make explicit the links between semiotics, meaning-making and the digital age. This focus addresses, at its core, pure rationality, that is, the capacity of human interpretation and of human inscription upon reality. Creating the new real, that is the motto. Humans are intrinsically semiotic creatures. Consequently, semiotics is not a choice or an option but something that works like a second skin, establishing limits and permeable linkages between: human thought and human's infinite (...) world of imagination; and human action, with its correspondent infinite world of intentionality, of desire and of unexplored possibilities. Two instances are contrasted as two reading lenses of current business reality: IS governance and industry 4.0. These phenomena correspond to the need to take accountability, transparency and responsibility into account, when designing IS and when using such systems through the ecology of connectivity, Big Data and the Internet of Things. Political, social and cultural dimensions are brought into the equation, when addressing the question of the relevance and adequateness of IS theory and practice to respond to contemporary challenges. The message is that what has already been achieved is but a shadow, a pale vision, of what might be achieved in the age of the new Renaissance. (shrink)

The Galilean explanatory style is characterized by the search for the underlying structure of phenomena, the positing of "deep" explanatory principles, and a view of the relation between theory and data, on which the search for "crucial data" is of primary importance. In this paper, I trace the dynamics of adopting the Galilean style, focusing on the science of episodic memory. I argue that memory systems, such as episodic and semantic memory, were posited as underlying competences producing (...) the observable phenomena of memory. Considered in idealized isolation from other systems, episodic memory was taken to underlay the ability of individuals to remember events from their personal past. Yet, in reality, memory systems regularly interact, standing in many-to-many relations to actual memory tasks and experiences. Upon this backdrop, I explore a puzzle about the increasing prominence of the notion of autonoetic consciousness in Tulving's theory of episodic memory. I argue that, contrary to widespread belief, the prominence is not best explained by the purported essential link between autonoetic consciousness and episodic memory. Rather, it is explained by the fact that autonoetic consciousness, hypothesized to uniquely accompany episodic retrieval, was considered a source of crucial data, predictable only from theories positing a functionally distinct episodic memory system. However, with the emergence of a new generation of theories, positing wider memory systems for remembering and imagination, the question of the relation between episodic memory and autonoetic consciousness has been reopened. This creates a pressing need for de-idealization, triggering a new search for crucial data. (shrink)

While the term “reactivity” has come to be associated with specific phenomena in the social sciences, having to do with subjects’ awareness of being studied, this paper takes a broader stance on this concept. I argue that reactivity is a ubiquitous feature of the psychological subject matter and that this fact is a precondition of experimental research, while also posing potential problems for the experimenter. The latter are connected to the worry about distorted data and experimental artifacts. But (...) what are experimental artifacts and what is the most productive way of dealing with them? In this paper, I approach these questions by exploring the ways in which experimenters in psychology simultaneously exploit and suppress the reactivity of their subject matter in order to produce experimental data that speak to the question or subject matter at hand. Highlighting the artificiality of experimental data, I raise the question of what distinguishes a genuine experimental result from an experimental artifact. My analysis construes experimental results as the outcomes of inferences from the data that take material background assumptions as auxiliary premises. Artifacts occur when one or more of these background assumptions are false, such that the data do not reliably serve the purposes they were generated for. I conclude by laying out the ways in which my analysis of data quality is relevant to, and informed by, recent debates about the replicability of experimental results. (shrink)

In Husserl’s Missing Technologies, Don Ihde urges us to think deeply and critically about the ways in which the technologies utilized in contemporary science structure the way we perceive and understand the natural world. In this paper, I argue that we ought to extend Ihde’s analysis to consider how such technologies are changing the way we perceive and understand ourselves too. For it is not only the natural or “hard” sciences which are turning to advanced technologies for help in carrying (...) out their work, but also the social and “human” sciences. One set of tools in particular is rapidly being adopted—the family of information technologies that fall under the umbrella of “big data.” As in the natural sciences, big data is giving researchers in the human sciences access to phenomena which they would otherwise be unable to experience and investigate. And like the former, the latter thereby shape the ways those scientists perceive and understand who and what we are. Looking at two case studies of big data-driven research in the human sciences, I begin in this paper to suggest how we might understand these phenomenological and hermeneutic changes. (shrink)

In climate science, climate models are one of the main tools for understanding phenomena. Here, we develop a framework to assess the fitness of a climate model for providing understanding. The framework is based on three dimensions: representational accuracy, representational depth, and graspability. We show that this framework does justice to the intuition that classical process-based climate models give understanding of phenomena. While simple climate models are characterized by a larger graspability, state-of-the-art models have a higher representational accuracy (...) and representational depth. We then compare the fitness-for-providing understanding of process-based to data-driven models that are built with machine learning. We show that at first glance, data-driven models seem either unnecessary or inadequate for understanding. However, a case study from atmospheric research demonstrates that this is a false dilemma. Data-driven models can be useful tools for understanding , specifically for phenomena for which scientists can argue from the coherence of the models with background knowledge to their representational accuracy and for which the model complexity can be reduced such that they are graspable to a satisfactory extent. When citing this paper, please use the full journal title Studies in History and Philosophy of Science. (shrink)

In this paper, a survey of 180 inscriptions in Tamil between 1346 CE and 1400 CE is analysed for its notions and visualization of astral themes present in the epigraphical inscriptions as well as for the calendrical practices implicit in those inscriptions. I demonstrate the rich diversity of calendrical practices employed in this period. Although there are clear local usages, the applied methods of identification show that in several cases methods from other Indian calendrical traditions have also been used. This (...) applies both to the year and the month. In contrast, the use of the weekday is not widely seen in the inscriptions of this region following the local system. The study also clarifies that the inscriptions are a useful documentary source for other astronomical observations such as eclipses and solstices undertaken in southern Indian locations in the fourteenth and fifteenth centuries. (shrink)

In this paper, a survey of 180 inscriptions in Tamil between 1346 CE and 1400 CE is analysed for its notions and visualization of astral themes present in the epigraphical inscriptions as well as for the calendrical practices implicit in those inscriptions. I demonstrate the rich diversity of calendrical practices employed in this period. Although there are clear local usages, the applied methods of identification show that in several cases methods from other Indian calendrical traditions have also been used. This (...) applies both to the year and the month. In contrast, the use of the weekday is not widely seen in the inscriptions of this region following the local system. The study also clarifies that the inscriptions are a useful documentary source for other astronomical observations such as eclipses and solstices undertaken in southern Indian locations in the fourteenth and fifteenth centuries. (shrink)

In this paper, I argue that starting with the organelles that constitute a cell – and continuing up the hierarchy of components in processes and subsystems of an organism – there are clear instances of emergent biological phenomena that can be considered “living” entities. These components and their attending processes are living emergent phenomena because of the way in which the components are organized to maintain homeostasis of the organism at the various levels in the hierarchy. I call (...) this view the homeostatic organization view of biological phenomena and, as is shown, it comports well with the standard philosophical accounts of nomological emergence and representational emergence. To proffer HOV, I describe properties of biological entities that include internal-hierarchical data exchange, data selectivity, informational integration, and environmental-organismic information exchange. Further, a distinction is drawn between particularized homeostasis and generalized homeostasis, and I argue that because the various processes and subsystems of an organism are functioning properly in their internal environments , the organism is able to exist as a hierarchically-organized entity in some environment external to it . Stated simply: that components of biological phenomena are organized to perform some function resulting in homeostasis marks them out to be living emergent entities distinguishable, in description and in reality, from the very physico-chemical processes of which they are composed. (shrink)

The first few years of the 21st century were characterised by a progressive loss of privacy. Two phenomena converged to give rise to the data economy: the realisation that data trails from users interacting with technology could be used to develop personalised advertising, and a concern for security that led authorities to use such personal data for the purposes of intelligence and policing. In contrast to the early days of the data economy and internet surveillance, (...) the last few years have witnessed a rising concern for privacy. As bad data practices have come to light, citizens are starting to understand the real cost of using online digital technologies. Two events stamped 2018 as a landmark year for privacy: the Cambridge Analytica scandal, and the implementation of the European Union’s General Data Protection Regulation (GDPR). The former showed the extent to which personal data has been shared without data subjects’ knowledge and consent and many times for unacceptable purposes, such as swaying elections. The latter inaugurated the beginning of robust data protection regulation in the digital age. Getting privacy right is one of the biggest challenges of this new decade of the 21st century. The past year has shown that there is still much work to be done on privacy to tame the darkest aspects of the data economy. As data scandals continue to emerge, questions abound as to how to interpret and enforce regulation, how to design new and better laws, how to complement regulation with better ethics, and how to find technical solutions to data problems. The aim of the research project Data, Privacy, and the Individual is to contribute to a better understanding of the ethics of privacy and of differential privacy. The outcomes of the project are seven research papers on privacy, a survey, and this final report, which summarises each research paper, and goes on to offer a set of reflections and recommendations to implement best practices regarding privacy. (shrink)

The aim of this article is to inquire about potential relationship between change of crime rates and change of gross domestic product growth rate, based on historical statistics of Japan. This national-level study used a dataset covering 88 years and 13 attributes. The data were processed with the self-organizing map, separation power checked by our ScatterCounter method, assisted by other clustering methods and statistical methods for obtaining comparable results. The article is an exploratory application of the SOM in research (...) of criminal phenomena through processing of multivariate data. The research confirmed previous findings that SOM was able to cluster efficiently the present data and characterize these different clusters. Other machine learning methods were applied to ensure clusters computed with SOM. The correlations obtained between GDP and other attributes were mostly weak, with a few of them interesting. (shrink)

Empiricists claim that in accepting a scientific theory one should not commit oneself to claims about things that are not observable in the sense of registering on human perceptual systems (according to Van Fraassen’s constructive empiricism) or experimental equipment (according to what I call liberal empiricism ). They also claim scientific theories should be accepted or rejected on the basis of how well they save the phenomena in the sense delivering unified descriptions of natural regularities among things that meet (...) their conditions for observability. I argue that empiricism is both unfaithful to real world scientific practice, and epistemically imprudent, if not incoherent. To illuminate scientific practice and save regularity phenomena one must commit oneself to claims about causal mechanisms that can be detected from data, but do not register directly on human perceptual systems or experimental equipment. I conclude by suggesting that empiricists should relax their standards for acceptable beliefs. (shrink)

The series Topics in Current Chemistry presents critical reviews of the present and future trends in modern chemical research. The scope of coverage is all areas of chemical science including the interfaces with related disciplines such as biology, medicine and materials science. The goal of each thematic volume is to give the non-specialist reader, whether in academia or industry, a comprehensive insight into an area where new research is emerging which is of interest to a larger scientific audience. Each review (...) within the volume critically surveys one aspect of that topic and places it within the context of the volume as a whole. The most significant developments of the last 5 to 10 years are presented using selected examples to illustrate the principles discussed. The coverage is not intended to be an exhaustive summary of the field or include large quantities of data, but should rather be conceptual, concentrating on the methodological thinking that will allow the non-specialist reader to understand the information presented. Contributions also offer an outlook on potential future developments in the field. Review articles for the individual volumes are invited by the volume editors. Readership: research chemists at universities or in industry, graduate students. (shrink)

En la estructura de una teoría se han distinguido tradicionalmente dos niveles conceptual y metodológicamente distintos: el nivel empirico y el teórico. Sostenemos que este enfoque de! doble nivel es incompleto y que conduce además a distorsiones, tanto en la comprensión filosofíca de las teorías como en la de su uso en la praxis científica. En este artículo se diseña un nuevo enfoque, segun el cual las teorías se conciben como estructuras representacionales tripartitas, que comprenden tres niveles conceptual y metodológicamente (...) distintos: el nivel de los datos, el de los fenómenos y el de los constructos teóricos. Se exploran las relaciones estructurales básicas entre los tres niveles y se muestran algunas aplicaciones relativas a los problemas de la idealización.Traditionally two different conceptual and methodological levels are distinguished within a theory: the empirical and the theoretical level. We argue that this two-level account is incomplete, leading to distortions of the philosophical understanding of theories and their usage in scientific praxis. We sketch a new account according to which theories are conceptualizad as three-tiered representational structures comprising three conceptually and methodologically different levels, to wit, the levels of data, phenomena and the level of theoretical constructs. Basic structural relations between these differentlevels are studied, some applications concerning problems of idealization are given. (shrink)

The era of Big Data comes with the omnipresent metaphor of the Cloud, a term suggesting an ephemeral and seemingly endless storage space, unhindered by time and place. Similar to the satellite image of the Whole Earth, which was the icon of technological progress in the late 60s, the Cloud as a metaphor breathes the promise of technology, whilst obfuscating the hardware reality of server farms and software infrastructure necessary to enable the proliferation of data. This article presents (...) projects from the fields of humanities, social sciences and the arts that formulate a response to Big Data and its human and automated practices, from data analytics dashboards to critical reflections on smart technologies and objects. (shrink)

In a recent paper James Bogen and James Woodward denounce a set of views on confirmation that they collectively brand 'IRS'. The supporters of these views cast confirmation in terms of Inferential Relations between observational and theoretical Sentences. Against 1RS accounts of confirmation, Bogen and Woodward unveil two main objections: (a) inferential relations are not necessary to model confirmation relations since many data are neither in sentential form nor can they be put in such a form and (b) inferential (...) relations are not sufficient to model confirmation relations because the former cannot capture evidentially relevant factors about the detection processes and instruments that generate the data. In this paper I have a two-fold aim: (i) to show that Bogen and Woodward fail to provide compelling grounds for the rejection of IRS models and (ii) to highlight some of the models' neglected merits. (shrink)

It is a widespread assumption in philosophy of science that data is what is explained by theory—that data itself is not explanatory. I draw on instances of representational and explanatory practice from mammalian chronobiology to suggest that this assumption is unsustainable. In many instances, biologists employ representations of data in explanatory ways that are not reducible to constraints on or evidence for representations of mechanisms. Data graphs are used to exemplify relationships between quantities in the mechanism, (...) and often these representations are necessary for explaining particular aspects of the phenomena under study. I argue that this kind of representation is distinct from representing laws or generalizations, and its primary purpose is to convey particular types or patterns of quantitative relationships. The benefit of the analysis is two-fold. First, it provides a more accurate account of explanatory practice in broadly mechanistic analysis in biology. Second, it suggests that there is not an explanatory “fundamental” type of representation in biology. Rather, the practice of explanation consists in the construction of different types of representations and their employment for distinct explanatory purposes. (shrink)

Stronach and Allan state that the use of humor by the disabled is an attempt to reintegrate themselves back into a social surround. Seeing this assignment of a reintegration function as a bit too teleological, and given the absence of interactional data, the reviewer is critical of the authors' reliance on literary research and offers an alternative way to study humor in interaction.

Despite much research on the relationship between awareness and dementia little can be concluded concerning their relationship and the role of other factors. It is likely that studies capture different phenomena of awareness. This study aimed at identifying and delineating such variation by analysing data from three questionnaires obtained during the longitudinal study of awareness in 101 people with early-stage dementia. The data concerned awareness in relation to memory, activities of daily living and socio-emotional function. Significant differences (...) in patterns of discrepancies were obtained. This suggests that the awareness phenomena involved were structurally different; and that, in turn, this may reflect variation in the intrinsic linking between awareness and its ‘object’ . The identification of such differences is necessary so that appropriate methodologies can be applied to the study of awareness in different contexts. (shrink)

In the very first issue of the Journal of Consciousness Studies, dualist John Beloff discusses the problem of how interactions may occur between the supposedly different realms of mind and matter. It is indeed the case that meta-analyses covering many years of research give very strong support to the reality of psi phenomena . Historical analysis has shown, however, that the results of some of the stronger paradigms are subject to a decline effect after an initial successful period of (...) ten to twenty years. And even if the reality of the phenomena stand up against time, a proper use of the available data -- as opposed to Beloff's selective use of it -- would at least complicate the naive interactionist picture and in fact argue against the dualist perspective. (shrink)