Environmental changes such as extreme weather events become increasingly noticeable worldwide. Earth observation (EO) data provide information about such changes, but little is known about citizens’ perceptions of and responses to such changes. Across three studies, we assess whether people’s place attachment on different regional levels predicts interest in EO data, and whether perceived environmental change affects emotional responses and place attachment. Two survey studies ( N = 118 students and N = 197 citizens from the Palatinate in (...) Southern Germany) revealed that place attachment predicts interest in EO data, especially when people felt strongly attached to the region or place in question. A third experimental study ( N = 600) with repeated measures ( N = 203) revealed that visualized environmental change – using satellite images of local vs. non-local environmental change – did not affect place attachment but elicited stronger emotional responses than visualizing no change. Policy support measures across Studies 2 and 3 suggest that place attachment and emotional responses are important predictors for action to mitigate consequences of environmental change. (shrink)

In their recent book, Is Inequality Bad for Our Health?, Daniels, Kennedy, and Kawachi claim that to “act justly in health policy, we must have knowledge about the causal pathways through which socioeconomic (and other) inequalities work to produce differential health outcomes.” One of the central problems with this approach is its dependency on “knowledge about the causal pathways.” A widely held belief is that the randomized clinical trial (RCT) is, and ought to be the “gold standard” of evaluating the (...) causal efficacy of interventions. However, often the only data available are non-experimental, observational data. For such data, the necessary randomization is missing. Because the randomization is missing, it seems to follow that it is not possible to make epistemically warranted claims about the causal pathways. Although we are not sanguine about the difficulty in using observational data to make warranted causal claims, we are not as pessimistic as those who believe that the only warranted causal claims are claims based on data from (idealized) RCTs. We argue that careful, thoughtful study design, informed by expert knowledge, that incorporates propensity score matching methods in conjunction with instrumental variable analyses, provides the possibility of warranted causal claims using observational data. (shrink)

We develop methods for determining local Lyapunov exponents from observations of a scalar data set. Using average mutual information and the method of false neighbors, we reconstruct a multivariate time series, and then use local polynomial neighborhood-to-neighborhood maps to determine the phase space partial derivatives required to compute Lyapunov exponents. In several examples we demonstrate that the methods allow one to accurately reproduce results determined when the dynamics is known beforehand. We present a new recursive QR decomposition method for (...) finding the eigenvalues of products of matrices when that product is severely ill conditioned, and we give an argument to show that local Lyapunov exponents are ambiguous up to order 1/L in the number of steps due to the choice of coordinate system. Local Lyapunov exponents are the critical element in determining the practical predictability of a chaotic system, so the results here will be of some general use. (shrink)

Cesario's critiques and suggestions for redesigning social psychology experiments echo Dahl's call for developmental researchers to use experimental and naturalistic methods in a complementary manner for understanding children's development. We provide examples of how naturalistic observations can rectify Cesario's missing flaws for developmental studies investigating children's social biases and help researchers derive theories they can then experimentally test.

This chapter covers the topic of learning causal models from observational data. A general introduction to causal discovery is presented, highlighting some of the challenges. Then, the types of graphs used to represent partial models are introduced. Several algorithms for causal discovery from observational data are explained, including score-based and constraint-based methods, causal discovery with functional and parametric constraints, and techniques based on continuous optimization. To conclude the chapter, we address subject-specific causal discovery and a method (...) to direct undirected edges based on causal effects estimation. (shrink)

Resumen El presente artículo describe una tipología de saludos y despedidas del español de México basada en datos observacionales de hablantes jóvenes del municipio de Metepec. El artículo también hace un contraste de datos observacionales y datos intuitivos referentes a los formatos de saludos y despedidas. En cuanto a la tipología, los saludos y las despedidas reportados se categorizan en tres y cuatro tipos respectivamente (saludos: hola, vocativos, la construcción interrogativa ¿Qué …?; despedidas: adiós, bye, imperativo del verbo cuidar y (...) despedidas temporales), y cada categoría cuenta con características y subcategorías particulares. La comparación entre los datos observacionales y los intuitivos en general indica que los datos observacionales no coinciden con los datos intuitivos; sin embargo, al ahondar en su contraste se identifican algunas similitudes particulares. (shrink)

The following quotation from Rosenbaum (1995) expresses a commonly held view about the problem of potential confounders, and how they can be dealt with. (We will take a “confounder” of treatment and response to be a variable that is a cause of both treatment and response.).

In this work, an intelligent observer is developed and implemented for fault detection and information retrieval in a small wind turbine. The intelligent observer will allow the detection of faults in the turbine’s energy generation, thanks to the estimation of the active power generated. This estimate will be compared with the real active power, measured by a real sensor, so that, if there is not a very high deviation between both values, the sensor measurement will be considered valid. However, when (...) the difference between the estimated value and the real value exceeds a threshold, the sensor measurement will be replaced with the estimate. This threshold will be determined based on the operating point. The results obtained are satisfactory, with a correct estimation and detection of anomalies. (shrink)

This paper provides a comprehensive summary of Johannes Kepler's research during his first tenure at Benatky, from February to June 1600. For the first time, Kepler had unrestricted access to Tycho Brahe's precise Mars observations, enabling him to test and refine his theories of planetary motion. Kepler aimed to resolve inconsistencies in Tycho’s Mars model, particularly its failure to predict parallactic observations accurately. Over the four months, he developed innovative methods, such as combining observations to triangulate distances and employing Tycho’s (...) model as a generator of reliable heliocentric longitudes. Despite numerous mathematical errors and theoretical missteps, Kepler laid the groundwork for the revolutionary ideas he would later present in Astronomia Nova. This paper highlights Kepler’s creative and exploratory approach, his use of Tycho’s data, and the significant progress he made in understanding Mars’ orbit, even as many of his early hypotheses were ultimately discarded. (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.

Indirect observation is a recent concept in systematic observation. It largely involves analyzing textual material generated either indirectly from transcriptions of audio recordings of verbal behavior in natural settings (e.g., conversation, group discussions) or directly from narratives (e.g., letters of complaint, tweets, forum posts). It may also feature seemingly unobtrusive objects that can provide relevant insights into daily routines. All these materials constitute an extremely rich source of information for studying everyday life, and they are continuously growing with the burgeoning (...) of new technologies for data recording, dissemination, and storage. Narratives are an excellent vehicle for studying everyday life, and quantitization is proposed as a means of integrating qualitative and quantitative elements. However, this analysis requires a structured system that enables researchers to analyze varying forms and sources of information objectively. In this paper, we present a methodological framework detailing the steps and decisions required to quantitatively analyze a set of data that was originally qualitative. We provide guidelines on study dimensions, text segmentation criteria, ad hoc observation instruments, data quality controls, and coding and preparation of text for quantitative analysis. The quality control stage is essential to ensure that the code matrices generated from the qualitative data are reliable. We provide examples of how an indirect observation study can produce data for quantitative analysis and also describe the different software tools available for the various stages of the process. The proposed method is framed within a specific mixed methods approach that involves collecting qualitative data and subsequently transforming these into matrices of codes (not frequencies) for quantitative analysis to detect underlying structures and behavioral patterns. The data collection and quality control procedures fully meet the requirement of flexibility and provide new perspectives on data integration in the study of biopsychosocial aspects in everyday contexts. (shrink)

Information about the structure of a causal system can come in the form of observational data—random samples of the system's autonomous behavior—or interventional data—samples conditioned on the particular values of one or more variables that have been experimentally manipulated. Here we study people's ability to infer causal structure from both observation and intervention, and to choose informative interventions on the basis of observational data. In three causal inference tasks, participants were to some degree capable of (...) distinguishing between competing causal hypotheses on the basis of purely observational data. Performance improved substantially when participants were allowed to observe the effects of interventions that they performed on the systems. We develop computational models of how people infer causal structure from data and how they plan intervention experiments, based on the representational framework of causal graphical models and the inferential principles of optimal Bayesian decision‐making and maximizing expected information gain. These analyses suggest that people can make rational causal inferences, subject to psychologically reasonable representational assumptions and computationally reasonable processing constraints. (shrink)

It is customary to distinguish experimental from purely observational sciences. The former include physics and molecular biology, the latter astronomy and palaeontology. Experiments involve actively intervening in the course of nature, as opposed to observing events that would have happened anyway. When a molecular biologist inserts viral DNA into a bacterium in his laboratory, this is an experiment; but when an astronomer points his telescope at the heavens, this is an observation. Without the biologist’s handiwork the bacterium would never (...) have contained foreign DNA; but the planets would have continued orbiting the sun whether or not the astronomer had directed his telescope skyward. The observational/experimental distinction would probably be difficult to make precise 1, as the notion of an ‘intervention’ is not easily defined, but it is intuitively fairly clear, and is frequently invoked by scientists and historians of science. Experimentation, or ‘putting questions to nature’, is often cited as a hallmark of the modern scientific method, something that permitted the enormous advances of the last 350 years. And it is sometimes said that the social sciences lag behind the natural because controlled experiments cannot be done so readily in the former. Moreover in certain sciences, e.g. epidemiology, students are explicitly taught that experimental data is preferable to observational data, particularly for doing causal inference. So the distinction between observational and experimental science has quite wide currency, and is often regarded as methodologically significant. Surprisingly, mainstream philosophy of science has had rather little to say about the observational/experimental distinction. 2 For example, discussions of confirmation usually invoke a notion of ‘evidence’, to be contrasted with ‘theory’ or ‘hypothesis’; the aim is to understand how the evidence bears on the hypothesis. But whether this ‘evidence’ comes from observation or experiment generally plays no role in the discussion; this is true …. (shrink)

The temptation to use prospective observational studies (POS) instead of conducting difficult trials (RCTs) has always existed, but with the advent of powerful computers and large databases, it can become almost irresistible. We examine the potential consequences, were this to occur, by comparing two hypothetical studies of a new treatment: one RCT, and one POS. The POS inevitably submits more patients to inferior research methodology. In RCTs, patients are clearly informed of the research context, and 1:1 randomized allocation between (...) experimental and validated treatment balances risks for each patient. In POS, for each patient, the risks of receiving inferior treatment are impossible to estimate. The research context and the uncertainty are down-played, and patients and clinicians are at risk of becoming passive research subjects in studies performed from an outsider’s view, which potentially has extraneous objectives, and is conducted without their explicit, autonomous, and voluntary involvement and consent. (shrink)

The issue of the theory-ladenness of observation has long troubled philosophers of science, largely because it seems to threaten the objectivity of science. However, the way in which prior beliefs influence the perception of data is in part an empirical issue that can be investigated by cognitive psychology. This point is illustrated through an experimental analogue of scientific data-interpretation tasks in which subjects judging the covariation between personality variables based their judgments on pure data, their theoretical intuitions (...) about the variables, or both data and prior theoretical beliefs. Results showed that the perceived magnitude of correlations was greatest when subjects relied solely on theoretical intuitions; that data-based judgments were drawn in the direction of those prior beliefs; but that exposure to data nonetheless moderated the strength of the prior theories. In addition, prior beliefs were found to influence judgments only after a brief priming interval, suggesting that subjects needed time to retrieve their theoretical intuitions from memory. These results suggest ways to investigate the processes mediating theory-laden observation, and, contrary to the fears of positivist philosophers, imply that the theory-ladenness of observation does not entail that theoretical beliefs are immune to data. (shrink)

British social survey movement ‘Mass-Observation’ (M-O) was founded in 1937 by a poet, a film-maker and an ornithologist. It purported to offer a new kind of sociology – one informed by surrealism and working with a ‘mass’ of Observers recording day-to-day interactions. Various commentators have debated the importance and precise identity of M-O in its first phase, especially in light of its combination of social science and surrealism. This article draws on new archival research, in particular into the ‘paperwork’ practices (...) of Charles Madge, arguing that M-O is best understood as an attempt to define a new relationship between the survey subject and information organiser. The latter – as sociologist, planner or artist – was a distinctive interwar persona, central to ‘scientific humanism’. Bathos, as a formal strategy in modernist aesthetics, is introduced as an explanation of the failure of this particular part of the M-O project. Questions of subjectivity and data link M-O to a longer history of heterodox sociological inquiry. This analysis resolves some of the apparent paradoxes that have been prominent in studies of M-O, and draws attention to the unfulfilled promise of a vast archive of social data. (shrink)

This book develops an explanation for the roles of observation and theory in scientific endeavor that occupies the middle ground between empiricism and rationalism, and captures the strengths of both approaches. Brown argues that philosophical theories have the same epistemological status as scientific theories and constructs an epistemological theory that provides an account of the role that theory and instruments play in scientific observation. His theory of perception yields a new analysis of objectivity that combines the traditional view of observation (...) as the foundation of scientific objectivity with the contemporary recognition that observation is theory-dependent. (shrink)

Observation is described as that which is informationally linked to the observed with the help of its being characterized both internally and externally. The external characterization refers to what perception really is (exemplified by seeing) in the manner semantic externalism treats natural kinds. Observable predicates are treated as reducible to appearance behaviour thus characterized. Referring to this way of semantical reduction distinguishes cultures of knowledge from cultures which acknowledge linguistic utterances as truthmakers. Introductory Remarks Theories of the sciences have mainly (...) dealt with how observation confirms or disconfirms a hypothesis. The question why observation matters at all has hardly been dealt with. Instead of giving empirical evidence one could consider looking for evidence in books. Indeed, we use books in order to gain knowledge but in the sciences this is commonly justified for the reason that scientific books refer to formerly published empirical data utilized in current theories—because of their reference to observation. Imagine a text contains only true statements. Why not consider referring to it in order to decide upon the truth of a hypothesis? It does not matter whether I know for certain that its statements are true. Our concern is what I am justified to infer from the text, presupposing that its statements are true. A striking peculiarity is that in the sciences I am not justified to infer anything from it, even if the text leads me to true conclusions only. Obviously, the evidence I am finally allowed to rely on in the sciences is not a linguistic utterance be it a spoken or a written one. It seems that linguistic utterances do not count as reasonable truthmakers in the sciences as some utterances do in religion. (Quotes from the Bible or the Koran are examples.) It has traditionally been presupposed rather than justified that observation is basic in the sciences. To stress the role of observation seems trivial. How is observation related to scientific statements? (shrink)

This paper presents an analysis of the systematic astronomical observations performed by Muḥyī al-Dīn al-Maghribī at the Maragha observatory between 1262 and 1274 AD. In a treatise entitled Talkhīṣ al-majisṭī, preserved in a unique copy at Leiden, Universiteitsbibliotheek, Muḥyī al-Dīn explains his observations and measurements of the Sun, the Moon, the superior planets, and eight reference stars. His measurements of the meridian altitudes of the Sun, the superior planets, and the eight bright stars were made using the mural quadrant of (...) the observatory, and the times of their meridian transit using a water clock. The mean absolute error in the meridian altitudes of the Sun is ~ 3.1′, of the superior planets ~ 4.6′, and of the eight fixed stars ~ 6.2′. The clepsydras used by Muḥyī al-Dīn could apparently fix time intervals with a precision of ± 5 min. His estimation of the magnitudes of three lunar eclipses observed in Maragha in 1262, 1270, and 1274 AD is in close agreement with modern data. (shrink)

It has been suggested by Clark Glymour that the spatio-temporal structure of the universe might be underdetermined by all observational data that could ever, theoretically, be gathered. It is possible for two spacetimes to be observationally indistinguishable (OI) yet topologically distinct. David Malament extended the argument for the underdetermination of spacetime structure by showing that under quite general conditions (such as the absence of any closed timelike curves) a spacetime will always have an OI counterpart (at least in (...) weak sense). Because the plight of the cosmologist seemed to be so discouraging in this regard, Malament considered the relationship between global properties and OI spacetimes. This information is helpful to the cosmologist. It allows, in principle, one to reject some spacetime models based on observational evidence. In this paper, I consider the relationship between variants of geodesic incompleteness and different senses (some old and some new) of OI. In light of the findings, it seems that (for the most part) the predicament of the cosmologist is not good. Quite generally, versions of geodesic incompleteness are not conserved even under the strongest formulations of OI. (shrink)

In the last few decades, increasing attention has been given to gender issues in urban design. However, research on the urban environment continues to show large gender inequalities, which are especially evident when studying the use and enjoyment of the public space. This study aims to identify predominant patterns of use in public places and to explore the possible existence of traditional gender roles in the urban space. The study uses, three public spaces in the city of Barcelona as a (...) case study, an innovative combination of systematic observation techniques and network analysis procedures. Variables collected by EXOdES, a dedicated software analysis tool for systematic observation, are represented as nodes of a network system and analyzed using network analysis tools. Findings confirmed that, in spite of the progressive consolidation of feminist urbanism, uses in the public realm resulting from traditional gender roles remained explicitly recognizable. Whereas women’s occupation of space was related to playground and resting areas, generally involving care activities concerned with children or elderly people, men were primarily located in resting and sports areas, practicing sports, or participating in leisure activities. These patterns of use were more prone to emerge when users were part of a group than when they were alone. From a gender perspective, a contribution of the study is that it informed about main aspects of the analyzed public spaces reconfirming the existence of traditional roles in society, and the significance of exploring the public space as a key scenario where social features are explicitly exposed. From a methodological perspective, the processing of observational data with network analysis tools proved to be relevant and suitable for dealing with the intricacies of urban place analysis. Compared to more classical approaches and systems, these techniques allowed to identify and interpret complex systems composed of many variables and relationships in a relatively straightforward manner, which turns it into a useful aid for urban designers and architects. (shrink)

Open peer commentary on the article “Circularity and the Micro-Macro-Difference” by Manfred Füllsack. Upshot: We join Füllsack in his effort to untangle the concepts of circular causation, macro states, and observation by reanalyzing one of our own simulations in the light of these concepts. This simulation presents an example agent that keeps track of its own macro states. We examine how human observers can consider such an agent as an observing agent on its own.

Today we are all familiar with the iconic pictures of the nebulae produced by the Hubble Space Telescope’s digital cameras. But there was a time, before the successful application of photography to the heavens, in which scientists had to rely on handmade drawings of these mysterious phenomena. Observing by Hand sheds entirely new light on the ways in which the production and reception of handdrawn images of the nebulae in the nineteenth century contributed to astronomical observation. Omar W. Nasim investigates (...) hundreds of unpublished observing books and paper records from six nineteenth-century observers of the nebulae: Sir John Herschel; William Parsons, the third Earl of Rosse; William Lassell; Ebenezer Porter Mason; Ernst Wilhelm Leberecht Tempel; and George Phillips Bond. Nasim focuses on the ways in which these observers created and employed their drawings in data-driven procedures, from their choices of artistic materials and techniques to their practices and scientific observation. He examines the ways in which the act of drawing complemented the acts of seeing and knowing, as well as the ways that making pictures was connected to the production of scientific knowledge. An impeccably researched, carefully crafted, and beautifully illustrated piece of historical work, Observing by Hand will delight historians of science, art, and the book, as well as astronomers and philosophers. (shrink)

In science, it sometimes occurs that an event is directly observed, and on other occasions that it is not directly observed but one can make the unambiguous inference that it has occurred. Is there any difference concerning the analysis of data arising from these two situations? In this note we show that there is such a difference in one case arising frequently in genetics. The difference derives from the fact that the ability to make the unambiguous inference arises only (...) from a restricted form of data. (shrink)

Sellars has taught us that we do not have direct epistemic access to sense data. Therefore, the latter cannot work as the bedrock of our knowledge. At the same time, through the myth of genius Jones, Sellars has tried to explain how we become able to rationally refer to sense data. What is more, it even seems that, following Jones’ teachings, the Rylean folk have become able to observe sense data. How could this be possible if sense (...) data are merely mythical entities? By making use of some ideas and reflections from Husserl on perceptual experience, categorial intuition, and knowledge, I suggest a way to overcome the riddle. My solution, however, will partially contrast with Sellars’ idea that sense data are, in the end, something internal to the subject. (shrink)

The motivating question of this paper is: ‘How are our beliefs in the theorems of mathematics justified?’ This is distinguished from the question ‘How are our mathematical beliefs reliably true?’ We examine an influential answer, outlined by Russell, championed by Gödel, and developed by those searching for new axioms to settle undecidables, that our mathematical beliefs are justified by ‘intuitions’, as our scientific beliefs are justified by observations. On this view, axioms are analogous to laws of nature. They are postulated (...) to best systematize the data to be explained. We argue that there is a decisive difference between the cases. There is agreement on the data to be systematized in the scientific case that has no analog in the mathematical one. There is virtual consensus over observations, but conspicuous dispute over intuitions. In this respect, mathematics more closely resembles stereotypical philosophy. We conclude by distinguishing two ideas that have long been associated -- realism (the idea that there is an independent reality) and objectivity (the idea that in a disagreement, only one of us can be right). We argue that, while realism is true of mathematics and philosophy, these domains fail to be objective. One upshot of the discussion is that even questions of fundamental physics may fail to be objective in roughly the sense that the question, ‘Is the Parallel Postulate is true?’, understood as one of pure mathematics, fails to be. Another is a kind of pragmatism. Factual questions in mathematics, modality, logic, and evaluative areas go proxy for non-factual practical ones. (shrink)

In 1823, F.W. Bessel published a startling conclusion: ‘involuntary constant differences’ mark out the recorded astronomical transit times of distinct observers. Bessel’s discovery eventually led to the institutionalization of the ‘personal equation’ for astrometry and spurred psychological investigations into the processes of visual perception. Bessel’s discovery revealed that the epistemic terrain of astrometry was more unpredictable than had been previously thought. Yet the solution to these worries was not a rigorous theory of the observer, but rather a set of cautionary (...) practices in data recording. This paper investigates the reasoning process Bessel used to discover involuntary constant differences and asks whether the apparent perceptual relativity he had discovered constituted a threat to data integrity. Bessel’s solution was epistemically responsible because it treated individual observational differences as a type of potential error that was avoided by preventing mixed observations. Additionally, error was not primarily viewed as a mismatch with reality, but rather as endemic to observational data, which kept the focus on practical matters rather than ontological ones. (shrink)

Most experimental studies of facial expression processing have used static stimuli (photographs), yet facial expressions in daily life are generally dynamic. In its original photographic format, the Karolinska Directed Emotional Faces (KDEF) has been frequently utilized. In the current study, we validate a dynamic version of this database, the KDEF-dyn. To this end, we applied animation between neutral and emotional expressions (happy, sad, angry, fearful, disgusted, and surprised; 1,033-ms unfolding) to 40 KDEF models, with morphing software. Ninety-six human observers categorized (...) the expressions of the resulting 240 video-clip stimuli, and automated face analysis assessed the evidence for 6 expressions and 20 facial action units (AUs) at 31 intensities. Low-level image properties (luminance, signal-to-noise ratio, etc.) and other purely perceptual factors (e.g., size, unfolding speed) were controlled. Human recognition performance (accuracy, efficiency, and confusions) patterns were consistent with prior research using static and other dynamic expressions. Automated assessment of expressions and AUs was sensitive to intensity manipulations. Significant correlations emerged between human observers’ categorization and automated classification. The KDEF-dyn database aims to provide a balance between experimental control and ecological validity for research on emotional facial expression processing. The stimuli and the validation data are available to the scientific community. (shrink)

This article presents a new framework for unobtrusive observation analytics of knowledge and skills-in-action through continuous collection of data from individuals while they interact with digital assets either as individuals or on problem-solving teams. The framework includes measures of the skill and knowledge areas of collaboration, creativity, personal learning, problem solving, and global sustainability, which are observed during natural production and use of communications, intentional artifacts, and resources in a digital learning space designed for self-directed and team-based learning challenges. (...) The article describes the digital context for data collection and shows some example data and analyses. (shrink)

In this paper, I examine the early history of discussions of participant observation and objectivity in anthropology. The discussions resolve around the question of whether participant observation is a reliable method for obtaining data that may serve as the basis for true accounts of native ways of life. I show how Malinowski in 1922 introduced participant observation as a straightforwardly reliable method and then discuss how—and why—most of the discussants in the 1940s and 1950s maintained that the method is (...) reliable only if the researcher takes a whole number of precautionary measures. (shrink)

We use evidence from cognitive psychology and the history of science to examine the issue of the theory-ladenness of perceptual observation. This evidence shows that perception is theory-laden, but that it is only strongly theory-laden when the perceptual evidence is ambiguous or degraded, or when it requires a difficult perceptual judgment. We argue that debates about the theory-ladenness issue have focused too narrowly on the issue of perceptual experience, and that a full account of the scientific process requires an examination (...) of theory-ladenness in attention, perception, data interpretation, data production, memory, and scientific communication. We conclude that the evidence for theory-ladenness does not lead to a relativist account of scientific knowledge. (shrink)

This special issue considers the significance of film to the establishment and development of scientific approaches to the mind. Bonnie Evans explores how the origins of film technologies in 1895 in France encouraged a series of innovative collaborations, influencing both psychological theorisation, and new filming techniques. Jeremy Blatter explains how Harvard psychologist Hugo Münsterberg created early films specifically designed to engage audiences using psychological tactics. Scott Curtis’ article examines how Yale psychologist Arnold Gesell was able to extract scientific data (...) from a film. Felix Rietmann’s article explores a collection of infant observation films from the 1930s and 1960s and how they developed unique narratives of mothers’ engagement with their children that did not necessarily match up with dominant scientific theories. Janet Harbord's article considers how a trilogy of films made at the Maudsley Hospital in the 1950s engaged with innovative film-making techniques that captured behaviour as discrete units. Seth Watter further examines how William S. Condon's use of the unique technology of the Bell and Howell 173BD projector in the 1960s created new understandings of human behaviour that could not have been predicted in advance, and which were highly influenced by the technology itself. Finally, Des O’Rawe explores how radical approaches in both anti-psychiatry, and documentary film-making in the 1960s created new opportunities for audiences to engage with different psychological states. All of these developments in film and psychology continue to influence understandings in both these fields to the present day. (shrink)

In “Flagpoles anyone? Causal and explanatory asymmetries”, James Woodward supplements his celebrated interventionist account of causation and explanation with a set of new ideas about causal and explanatory asymmetries, which he extracts from some cutting-edge methods for causal discovery from observational data. Among other things, Woodward draws interesting connections between observational causal discovery and interventionist themes that are inspired in the first place by experimental causal discovery, alluding to a sort of unity between observational and experimental (...) causal discovery. In this paper, I make explicit what I take to be the implicated unity. Like experimental causal discovery, observational causal discovery also relies on interventions, albeit interventions that are not carried out by investigators and hence need to be detected as part of the inference. The observational patterns appealed to in observational causal discovery are not only surrogates for would-be interventions, as Woodward sometimes puts it; they also serve to mark relevant interventions that actually happen in the data generating process. (shrink)

Informed consent may be unobtainable in online contexts. This article examines the difficulties of obtaining informed consent online through a Facebook case study. It is proposed that there are at least two ways informed consent could be waived in research: first, if the data are public, and second, if the data are textual. Accordingly, the publicness of the Facebook News Feed is considered. Taking account of the wide availability of Facebook users’ data, and reflecting on how public (...) those users perceive their information to be, this paper argues that some Facebook data are properly viewed as public to semi-public in nature. A second issue is whether the Facebook News Feed data collection ought to be classified as document-based or human subjects research. Since the Facebook News Feed involves social interaction that may elicit ‘ethically important moments’, this paper proposes that observing it may constitute human subjects research. While informed consent is desirable for human subjects research, it is suggested that Facebook News Feed observations are comparable to observational research in a public space, and thus waiving informed consent in this online setting could be justifiable. (shrink)

Recent longitudinal observations show that human menstrual cycles, sleep‐wake cycles and manic‐depressive cycles can become synchronized with lunar cycles, but do so in uniquely complex and heterogeneous ways that are unlikely to have been detected by past studies. Past studies’ negative results have given rise to a scientific consensus that human biology and behavior are unaffected by lunar cycles. The recent observations show that synchrony can be temporary, and can occur with more than one type of lunar cycle, more than (...) one phase of a lunar cycle and more than one resonant frequency of a lunar cycle. Given the variability of human responses to lunar cycles, aggregate analyses used in almost all previous studies would likely have cancelled out individuals’ responses and led to false negative results. In light of these observations, the question of lunar influence should be investigated further, with longitudinal observations and case‐by‐case analyses of individuals’ data. (shrink)

Background Clients are invited to play a role in decisions about their care. Collaborative deliberation comprises constructive engagement, recognition of alternative actions, comparative learning, construction and elicitation of preferences and preference integration. Collaborative deliberation between clients and professionals is a process that requires an interest in each other, sharing of views on alternatives and preferences and integrating into decisions. The aim is to gain insight into collaborative deliberation in consultations and the clients’ perception of arranging long-term care. Design A descriptive (...) qualitative study to explore collaborative deliberation in consultations between clients and professionals. Six organisations providing long-term care were included. Data collection of nine clients involved observations of consultation with field notes and audio-records, interviews with clients and professionals shortly and 3–6 months after the consultation and questionnaires to collect background information. The data were analysed by deductive content analysis. Findings Constructive engagement was visible in all consultations. Clients and professionals showed respect, empathy and curiosity towards each other. In most consultations, two or more alternative actions are recognised and discussed. Comparative learning appears to be two sided, the client and the professional learn from each other's knowledge and experiences. Construction and elicitation of preference, and preference integration, seems to be present, but difficult to recognise in all consultations. Discussion/conclusion Although all propositions could be identified, there seems room for improvement in preference elicitation and integration of these preferences in the discussions on courses of action. Assistance seems needed with preference elicitation, both for the clients and for the professional. (shrink)

The increasing availability of passively observed data has yielded a growing interest in “data fusion” methods, which involve merging data from observational and experimental sources to draw causal conclusions. Such methods often require a precarious tradeoff between the unknown bias in the observational dataset and the often-large variance in the experimental dataset. We propose an alternative approach, which avoids this tradeoff: rather than using observational data for inference, we use it to design a (...) more efficient experiment. We consider the case of a stratified experiment with a binary outcome and suppose pilot estimates for the stratum potential outcome variances can be obtained from the observational study. We extend existing results to generate confidence sets for these variances, while accounting for the possibility of unmeasured confounding. Then, we pose the experimental design problem as a regret minimization problem subject to the constraints imposed by our confidence sets. We show that this problem can be converted into a concave maximization and solved using conventional methods. Finally, we demonstrate the practical utility of our methods using data from the Women’s Health Initiative. (shrink)

Traditional empiricist analyses of the source of scientific objectivity were based on two guiding themes: that a claim can be objective only if it is tested against some independent touchstone, and that observation provides that touchstone. The issue of objectivity arises here only for beliefs that are formulated as propositions or sets of propositions, and the standard view demands that objective beliefs make claims about entities that exist independently of those beliefs, and whose properties can be determined and compared with (...) the content of the beliefs under examination. In addition, it is demanded that the means of acquiring information about the entities in question be logically independent of the beliefs being tested. For example, if the belief that my typewriter has forty-five keys is to be objective, the typewriter must, in some sense, exist independently of any of my beliefs about it, and, although as a practical matter I might not check how many keys the typewriter has unless I happened to be testing some hypothesis, the procedure for determining the number of keys must not presuppose any of my beliefs about the number of keys. These demands hold whether we take such entities as my typewriter to be material objects that exist completely independently of our awareness of them and with which we somehow make contact through impressions, Machian elements, sense-data, or sensations. For even among those empiricists who hold that we ultimately perceive only our own sensations, it is still maintained that our beliefs in no way determine what sensations will occur at a given time. (shrink)

Due to the complexity of research objects, theoretical concepts, and stimuli in media research, researchers in psychology and communications presumably need sophisticated measures beyond self-report scales to answer research questions on media use processes. The present study evaluates stimulus-dependent structure in spontaneous eye-blink behavior as an objective, corroborative measure for the media use phenomenon of spatial presence. To this end, a mixed methods approach is used in an experimental setting to collect, combine, analyze, and interpret data from standardized participant (...) self-report, observation of participant behavior, and content analysis of the media stimulus. T-pattern detection is used to analyze stimulus-dependent blinking behavior, and this structural data is then contrasted with self-report data. The combined results show that behavioral indicators yield the predicted results, while self-report data shows unpredicted results that are not predicted by the underlying theory. The use of a mixed methods approach offered insights that support further theory development and theory testing beyond a traditional, mono-method experimental approach. (shrink)

This chapter looks into the nature of observation. Objects of observation are as important as the content and quality of the data. To discern the observable from that of unobservable is the chief task of this chapter. Frédéric Bastiat’s metaphor for ‘Seen and Unseen’ is applied in actual situations. The difference and order of precedence between observability and learnability is also important. The quality of the data is often spoiled with noise. This noise is most of the time (...) unobservable. It created an important problem for statistical inference and thereby scientific inquiry. To understand the content of the data, we need to filter it out of all sources of noise. So Bastiat’s classical metaphor of “seen and unseen” can be extended to an inquiry of noisy data in contemporary business world. The increasing recent researches on this topic will be covered by the chapter. (shrink)

In this short paper we analyse the writings of Maria Valtorta that relate to the Birth of the Virgin Mary and extract descriptions relating to the astronomical and environmental features which the author allegedly witnesses. Using planetary software we attempt to align these observations with August 5th 17BC; the date given for the Birth of the Virgin Mary by the alleged Medjugorje visionaries. Using data from the Valtorta vision relating to both the unusual weather conditions and the position of (...) a rainbow over Mount Hermon; we unexpectedly found that the bearing and elevation of the Moon as observed from Nazareth on the Medjugorje date could indeed create the conditions suitable for an observable Lunar Rainbow rising from the peak of Mount Hermon. We found at no time in August of 17BC could the Sun have been responsible for the Valtorta rainbow. (shrink)

Integrated Information Theory (IIT) provides a quantitative framework for explaining consciousness phenomenon, positing that conscious systems comprise elements integrated through causal properties. We apply IIT 3.0 and 4.0 — the latest iterations of this framework — to sequences of Large Language Model (LLM) representations, analyzing data derived from existing Theory of Mind (ToM) test results. Our study systematically investigates whether the differences of ToM test performances, when presented in the LLM representations, can be revealed by IIT estimates, i.e., Φmax (...) (IIT 3.0), Φ (IIT 4.0), Conceptual Information (IIT 3.0), and Φ-structure (IIT 4.0). Furthermore, we compare these metrics with the Span Representations independent of any estimate for consciousness. This additional effort aims to differentiate between potential “consciousness” phenomena and inherent separations within LLM representational space. We conduct comprehensive experiments examining variations across LLM transformer layers and linguistic spans from stimuli. Our results suggest that sequences of contemporary Transformer-based LLM representations lack statistically significant indicators of observed “consciousness” phenomena but exhibit intriguing patterns under _spatio_-permutational analyses. (shrink)

The essays in this book clarify the technical, legal, ethical, and social aspects of the interaction between eHealth technologies and surveillance practices. The book starts out by presenting a theoretical framework on eHealth and surveillance, followed by an introduction to the various ideas on eHealth and surveillance explored in the subsequent chapters. Issues addressed in the chapters include privacy and data protection, social acceptance of eHealth, cost-effective and innovative healthcare, as well as the privacy aspects of employee wellness programs (...) using eHealth, the use of mobile health app data by insurance companies, advertising industry and law enforcement, and the ethics of Big Data use in healthcare. A closing chapter draws on the previous content to explore the notion that people are 'under observation', bringing together two hitherto unrelated streams of scholarship interested in observation: eHealth and surveillance studies. In short, the book represents a first essential step towards cross-fertilization and offers new insights into the legal, ethical and social significance of being 'under observation'. (shrink)

At the most mundane level, CCTV observes bodies, and as such attaches great importance to the specific features of the human body. At the same time, however, bodies tend to disappear, as they are represented electronically by the camera monitors and, in the case of image recording, by the computer systems processing data. The roles of bodies(either as targets of surveillance or as translations into flows of disembodied information), however, are not unimportant or inconsequential, but may in fact give (...) rise to a number of tangible ethical dilemmas. Firstly, the virtual representation of the embodied actor is not a neutral, unproblematic process. Body representation techniques such as CCTV produce constructions of the subject that involve judgmental, discriminatory processes of categorisation and are based on asymmetrical relations between observers and observed. Secondly, the `data doubles' are not inconsequential: the representations of the body produced by CCTV can have palpable consequences for the embodied self and its life chances. The widespread use of CCTV could therefore give rise to individual as well as social issues, and possibly in a different manner than previous surveillance technologies. This fact signals the need for(re-)conceptualisations of moral values (such as privacy) applicable to the case of CCTV which take into account the importance of bodily protections. (shrink)