John A Barrie; G. H. Bantock as Educational Philosopher, Journal of Philosophy of Education, Volume 24, Issue 1, 30 May 2006, Pages 93–106, https://doi.org/10.1.

This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range of public documents to identify the key actors, mechanisms and issues which structure societal expectations around artificial intelligence and an emerging discourse on ethics. We then explore expectations of AI and ethics through a survey of members of the public. Finally, we discuss the implications of our findings for (...) the role of AI in communication governance. We find that, despite societal expectations that we can design ethical AI, and public expectations that developers and governments should share responsibility for the outcomes of AI use, there is a significant divergence between these expectations and the ways in which AI technologies are currently used and governed in large scale communication systems. We conclude that discourses of ‘ethical AI’ are generically performative, but to become more effective we need to acknowledge the limitations of contemporary AI and the requirement for extensive human labour to meet the challenges of communication governance. An effective ethics of AI requires domain appropriate AI tools, updated professional practices, dignified places of work and robust regulatory and accountability frameworks. (shrink)

The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to provide coverage of all aspects of the infectious disease domain, including biomedical research, clinical care, and public health. IDO Core is designed to be a disease and pathogen neutral ontology, covering just those types of entities and relations that are relevant to infectious diseases generally. IDO Core is then extended by a collection of ontology modules focusing on specific diseases and pathogens. In this paper we (...) present applications of IDO Core within various areas of infectious disease research, together with an overview of all IDO extension ontologies and the methodology on the basis of which they are built. We also survey recent developments involving IDO, including the creation of IDO Virus; the Coronaviruses Infectious Disease Ontology (CIDO); and an extension of CIDO focused on COVID-19 (IDO-CovID-19).We also discuss how these ontologies might assist in information-driven efforts to deal with the ongoing COVID-19 pandemic, to accelerate data discovery in the early stages of future pandemics, and to promote reproducibility of infectious disease research. (shrink)

SNODENT is a dental diagnostic vocabulary incompletely integrated in SNOMED-CT. Nevertheless, SNODENT could become the de facto standard for dental diagnostic coding. SNODENT's manageable size, the fact that it is administratively self-contained, and relates to a well-understood domain provides valuable opportunities to formulate and test, in controlled experiments, a series of hypothesis concerning diagnostic systems. Of particular interest are questions related to establishing appropriate quality assurance methods for its optimal level of detail in content, its ontological structure, its construction and (...) maintenance. This paper builds on previous–software-based methodologies designed to assess the quality of SNOMED-CT. When applied to SNODENT several deficiencies were uncovered. 9.52% of SNODENT terms point to concepts in SNOMED-CT that have some problem. 18.53% of SNODENT terms point to SNOMED-CT concepts do not have, in SNOMED, the term used by SNODENT. Other findings include the absence of a clear specification of the exact relationship between a term and a termcode in SNODENT and the improper assignment of the same termcode to terms with significantly different meanings. An analysis of the way in which SNODENT is structurally integrated into SNOMED resulted in the generation of 1081 new termcodes reflecting entities not present in the SNOMED tables but required by SNOMED's own description logic based classification principles. Our results show that SNODENT requires considerable enhancements in content, quality of coding, quality of ontological structure and the manner in which it is integrated and aligned with SNOMED. We believe that methods for the analysis of the quality of diagnostic coding systems must be developed and employed if such systems are to be used effectively in both clinical practice and clinical research. (shrink)

The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Rapid, accurate, and consistent interpretation of generated data is thereby of fundamental concern. Ontologies––structured, controlled, vocabularies––are designed to support consistency of interpretation, and thereby to prevent the development of data silos. This paper describes how ontologies are serving this purpose in the COVID-19 research domain, by following principles of the Open Biological and Biomedical Ontology (OBO) Foundry and by reusing existing ontologies such as the Infectious Disease Ontology (...) (IDO) Core, which provides terminological content common to investigations of all infectious diseases. We report here on the development of an IDO extension, the Virus Infectious Disease Ontology (VIDO), a reference ontology covering viral infectious diseases. We motivate term and definition choices, showcase reuse of terms from existing OBO ontologies, illustrate how ontological decisions were motivated by relevant life science research, and connect VIDO to the Coronavirus Infectious Disease Ontology (CIDO). We next use terms from these ontologies to annotate selections from life science research on SARS-CoV-2, highlighting how ontologies employing a common upper-level vocabulary may be seamlessly interwoven. Finally, we outline future work, including bacteria and fungus infectious disease reference ontologies currently under development, then cite uses of VIDO and CIDO in host-pathogen data analytics, electronic health record annotation, and ontology conflict-resolution projects. (shrink)

For years a debate has raged within the various literatures of philosophy, psychiatry, and psychology over whether, and to what degree, the concepts that characterize psychopathology are social constructions that reflect cultural values. While the majority position among philosophers has been normativist, i.e., that the conception of a mental disorder is value-laden, a vocal and cogent minority have argued that psychopathology results from malfunctions that can be described by terminology that is objective and scientific. Scientists and clinicians have tended to (...) endorse the objectivist position, with some notable exceptions. (shrink)

The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Ontologies – structured, controlled, vocabularies – are designed to support consistency of interpretation, and thereby to prevent the development of data silos. This paper describes how ontologies are serving this purpose in the virus research domain, following the principles of the Open Biological and Biomedical Ontology (OBO) Foundry and drawing on the resources of the Infectious Disease Ontology (IDO) Core. We report the development of the Virus Infectious (...) Disease Ontology (VIDO), a reference ontology extending IDO Core covering viral infectious diseases. We examine newly minted terms, showcase ontology term reuse, and illustrate the use of VIDO by annotating selections from recent life science research on SAR-CoV-2, in the interest of supporting machine learning projects. (shrink)

The present paper examines the arguments and data presented by Nisbett and Wilson relevant to their thesis that subjects do not have access to their own cognitive processes. It is concluded that their review of previous research is selective and incomplete and that the data they present in behalf of their thesis does not withstand a demand characteristics analysis. Furthermore, their use of observer-subject similarity as evidence of subjects' inability to access cognitive processes makes tests of their hypothesis confounded and, (...) at the same time, reveals limitations in the application of the pre-inquiry quasi-control to research on social behavior. Problems with postexperiment questionnaires, such as the demand characteristics of the inquiry procedure are also considered. Although there are difficulties in assessing subjects' cognitive processes, many of these may be overcome through the application of novel techniques and research conducted on more traditional methods. In contrast to the view that subjects have limited access to cognitive processes and that their verbal reports are not valid, it is concluded that subjects' verbalizations are a rich source of psychological data which must be pursued if we are to tap their cognitive processes and are to gain an adequate understanding of human behavior. (shrink)

It has long been claimed that Homo sapiens is the only species that has language, but only recently has it been recognized that humans also have an unusual pattern of growth and development. Social mammals have two stages of pre-adult development: infancy and juvenility. Humans have two additional prolonged and pronounced life history stages: childhood, an interval of four years extending between infancy and the juvenile period that follows, and adolescence, a stage of about eight years that stretches from juvenility (...) to adulthood. We begin by reviewing the primary biological and linguistic changes occurring in each of the four pre-adult ontogenetic stages in human life history. Then we attempt to trace the evolution of childhood and juvenility in our hominin ancestors. We propose that several different forms of selection applied in infancy and childhood; and that, in adolescence, elaborated vocal behaviors played a role in courtship and intrasexual competition, enhancing fitness and ultimately integrating performative and pragmatic skills with linguistic knowledge in a broad faculty of language. A theoretical consequence of our proposal is that fossil evidence of the uniquely human stages may be used, with other findings, to date the emergence of language. If important aspects of language cannot appear until sexual maturity, as we propose, then a second consequence is that the development of language requires the whole of modern human ontogeny. Our life history model thus offers new ways of investigating, and thinking about, the evolution, development, and ultimately the nature of human language. (shrink)

Part 1 of this exchange consists in a critique by Smith of Searle’s The Construction of Social Reality focusing on Searle’s use of the formula ‘X counts as Y in context C’. Smith argues that this formula works well for social objects such as dollar bills and presidents where the corresponding X terms (pieces of paper, human beings) are easy to identify. In cases such as debts and prices and money in a bank's computers, however, the formula fails, because these (...) are cases of what he calls ‘free-standing Y terms’, since there is here no X which can count as the corresponding Y. In his response in Part 2, Searle argues that Smith’s critique rests on three misunderstandings: 1. in wrongly presupposing that Searle is trying to analyze the nature of what he calls “social objects”, rather than of social facts; 2. in thinking that the counts as formula is intended as a definition, rather than as a mere mnemonic; and 3. in neglecting the naturalism of Searle’s account. (shrink)

College students and suburban residents completed questionnaires designed to examine the tendency of scientific explanations of undesirable behaviors to mitigate perceived culpability. In vignettes relating behaviors to an explanatory antecedent, we manipulated the uniformity of the behavior given the antecedent, the responsiveness of the behavior to deterrence, and the explanatory antecedent-type offered- physiological (e.g., a chemical imbalance) or experiential (e.g., abusive parents). Physiological explanations had a greater tendency to exonerate actors than did experiential explanations. The effects of uniformity and deterrence (...) were smaller, and the latter had a significant effect on judgment only when physiological rather than experiential antecedents were specified. Physiologically explained behavior was more likely to be characterized as "automatic", and willpower and character were less likely to be cited as relevant to the behavior. Physiological explanations of undesirable behavior may mitigate blame by inviting nonteleological causal attributions. Keywords: person perception, volition, moral attribution, responsibility. (shrink)

The conjoining of civic republicanism and green politics is a new but timely response to understanding and navigating a path through and beyond our turbulent times. A green republican analysis our contemporary condition–climate breakdown, rising inequality, the crisis of representative democracy–sees the structural and ideological imperative of endless economic growth as one root cause. From a green republican perspective economic growth has now passed a threshold where it has become a threat, both to the sustainability/longevity of the polity, but also (...) common goods and human flourishing. This paper identifies and analyses key components of the growth imperative, such as debt-based consumerism and non-democratic workplaces, as well as more widely discussed requirements of growth to externalise ecological and social costs, and growth’s dependence on cheap and secure sources of fossil resources. It argues that these components of growth pose serious risks to liberty as nondomination, the securing and protecting of common goods, rough equality and securing the ecological conditions for the republic. Therefore, these ‘green’ concerns should be also concerns for republicans. The paper looks at one recent strategy that has been proposed to help move societies beyond climate breakdown and carbon-addiction–namely the ‘Just Transition’ discourse and set of policy proposals. The paper offers a green republican account of the Just Transition strategy for a post-or low carbon economy in which equality, justice and democratic participation are central. (shrink)

Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopathological Imaging Ontology – QHIO. We apply QHIO to breast cancer hot-spot detection with (...) the goal of enhancing reliability of detection by promoting the sharing of data between image analysts. (shrink)

Environment and Social Theory provides a concise introduction to the relationship between the environment and social theory, both historically and within contemporary social theory.

Not long ago, a colleague chided me for using the term "the biological revolution. " Like many others, I have employed it as an umbrella term to refer to the seemingly vast, rapidly-moving, and fre quently bewildering developments of contemporary biomedicine: psy chosurgery, genetic counseling and engineering, artificial heart-lung machines, organ transplants-and on and on. The real "biological revo lution," he pointed out, began back in the nineteenth century in Europe. For it was then that death rates and infant mortality (...) began to decline, the germ theory of disease was firmly established, Darwin took his famous trip on the Beagle, and Gregor Mendel stumbled on to some fundamental principles of heredity. My friend, I think, was both right and wrong. The biological revolution did have its roots in the nineteenth century; that is when it first began to unfold. Yet, like many intellectual and scientific upheav als, its force was not felt for decades. Indeed, it seems fair to say that it was not until after the Second World War that the full force of the earlier discoveries in biology and medicine began to have a major impact, an impact that was all the more heightened by the rapid bi omedical developments after the war. (shrink)

Ontology is one strategy for promoting interoperability of heterogeneous data through consistent tagging. An ontology is a controlled structured vocabulary consisting of general terms (such as “cell” or “image” or “tissue” or “microscope”) that form the basis for such tagging. These terms are designed to represent the types of entities in the domain of reality that the ontology has been devised to capture; the terms are provided with logical defi nitions thereby also supporting reasoning over the tagged data. Aim: This (...) paper provides a survey of the biomedical imaging ontologies that have been developed thus far. It outlines the challenges, particularly faced by ontologies in the fields of histopathological imaging and image analysis, and suggests a strategy for addressing these challenges in the example domain of quantitative histopathology imaging. The ultimate goal is to support the multiscale understanding of disease that comes from using interoperable ontologies to integrate imaging data with clinical and genomics data. (shrink)

The evolution of the human brain has resulted in the emergence of higher-order cognitive abilities, such as reasoning, planning and social awareness. Although there has been a concomitant increase in brain size and complexity, and component diversification, we argue that RNA regulation of epigenetic processes, RNA editing, and the controlled mobilization of transposable elements have provided the major substrates for cognitive advance. We also suggest that these expanded capacities and flexibilities have led to the collateral emergence of psychiatric fragilities and (...) conditions. (shrink)

Perhaps the most problematic dimension of the ‘triple bottom line’ understanding of sustainable development has been the ‘economic’ dimension. Much of the thinking about the appropriate ‘political economy’ to underpin or frame sustainable development has been either utopian (as in some ‘green’ political views) or an attempt to make peace with ‘business as usual’ approaches. This article suggests that ‘ecological modernisation’ is the dominant conceptualisation of ‘sustainable development’ within the UK, and illustrates this by looking at some key ‘sustainable development’ (...) policy documents from the UK Government. We take the view that the discourse of ‘ecological modernisation’ has provided discursive terrain for both pragmatic policy makers and a range of views on sustainable development, from weak to strong. In particular, the article suggests that the discourse of ‘economic security’ and ‘sufficiency’ can be used as a way of articulating a radical, robust and principled understanding of sustainable development, which offers a normatively compelling and policy-relevant path to outlining a ‘green political economy’ to underpin sustainable development. (shrink)

A normative criterion identifying the conditions for a desirable corporate reputation, “reputational optimality,” or “reputational bliss,” is described, and a case developed for its utility and reasonableness as a criterion to apply to real world phenomena. The paper discusses some behavioral patterns under alternative moral positions taken by observers and the firm, critiques some alternative moral principles, and considers some dynamics of moving toward, defending and maintaining, and breaching or breaking reputational bliss.

The study of reputation has often focused on the creation of good reputations rather than on the varied means by which reputations are modified, or shifted, and the factors affecting such shifts. This paper develops a theory of reputation shifting and identifies five basic reputational actions, the types of strategic responses that can be taken to manage reputations.

Language, like other human traits, could only have evolved during one or more stages of development. We enlist the theoretical framework of human life history to account for certain aspects of linguistic evolution, with special reference to initial phases in the process. It is hypothesized that selection operated at several developmental stages, the earlier ones producing new behaviors that were reinforced by additional, and possibly more powerful, forms of selection during later stages, especially adolescence and early adulthood. Peer commentaries have (...) provided opportunities to explain human life history more comprehensively, and to add details to our account of spoken language. We made no attempt to explain syntax in the target article, but we propose here that selection for “vocal plumage” may have increased our species’ capacity for utterance complexity, a development that would have benefited all levels of language. (shrink)

The Planteome project provides a suite of reference and species-specific ontologies for plants and annotations to genes and phenotypes. Ontologies serve as common standards for semantic integration of a large and growing corpus of plant genomics, phenomics and genetics data. The reference ontologies include the Plant Ontology, Plant Trait Ontology, and the Plant Experimental Conditions Ontology developed by the Planteome project, along with the Gene Ontology, Chemical Entities of Biological Interest, Phenotype and Attribute Ontology, and others. The project also provides (...) access to species-specific Crop Ontologies developed by various plant breeding and research communities from around the world. We provide integrated data on plant traits, phenotypes, and gene function and expression from 95 plant taxa, annotated with reference ontology terms. (shrink)

Organizational ethics programs often are created to address tensions in organizational values that have been identified through repeated clinical ethics consultation requests. Clinical ethicists possess some core competencies that are suitable for the leadership of high-quality organizational ethics programs, but they may need to develop new skills to build these programs, such as familiarity with healthcare delivery science, healthcare financing, and quality improvement methodology. To this end, we suggest that clinical ethicists build organizational ethics programs incrementally and via quality improvement (...) projects undertaken in collaboration with senior clinical leaders. Organizational ethics programs often differ from clinical ethics programs in their membership and processes, and likely will require ethicists to forge new partnerships with a wide array of organizational leaders. With attention to the ways that organizational ethics programs differ from clinical ethics programs, and investment in quality improvement methodology and formal institutional needs assessments, clinical ethics leaders can position an organizational ethics program to advocate effectively for visible and compelling alignment of leadership decision making with the values of the organization. (shrink)

Jonathan Cohen has produced a powerful argument for Colour Relationalism: the metaphysical thesis that colours are relational properties of a certain sort—relational with respect to perceivers and circumstances. Cohen makes two important assumptions: one is that Colour Relationalism and Colour Irrealism (which include Colour Eliminativism, Fictionalism and other “error theories”) are rivals; the second is that “error theories” are theories of last resort. In this paper, I challenge both assumptions. In particular, I argue that there is good reason to think (...) that Colour Relationalism needs to be supplemented by some version ofan Error theory. In so doing, I examine, in detail, the issues raised in a paper by Janet Levin in which she engages in an instructive debate with Colin McGinn. Levin’s paper is important since Cohen places heavy reliance on her arguments, both in defending his relationalist theory against crucial objections, and in his dismissal of error theories. (shrink)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

Part 1 of this exchange consists in a critique by Smith of Searle’s The Construction of Social Reality focusing on Searle’s use of the formula ‘X counts as Y in context C’. Smith argues that this formula works well for social objects such as dollar bills and presidents where the corresponding X terms (pieces of paper, human beings) are easy to identify. In cases such as debts and prices and money in a banks computers, however, the formula fails, because these (...) are cases of what he calls ‘free-standing Y terms’, since there is here no X which can count as the corresponding Y. In his response in Part 2, Searle argues that Smith’s critique rests on three misunderstandings: 1. in wrongly presupposing that Searle is trying to analyze the nature of what he calls “social objects”, rather than of social facts; 2. in thinking that the counts as formula is intended as a definition, rather than as a mere mnemonic; and 3. in neglecting the naturalism of Searle’s account. (shrink)

The study of biodiversity spans many disciplines and includes data pertaining to species distributions and abundances, genetic sequences, trait measurements, and ecological niches, complemented by information on collection and measurement protocols. A review of the current landscape of metadata standards and ontologies in biodiversity science suggests that existing standards such as the Darwin Core terminology are inadequate for describing biodiversity data in a semantically meaningful and computationally useful way. Existing ontologies, such as the Gene Ontology and others in the Open (...) Biological and Biomedical Ontologies (OBO) Foundry library, provide a semantic structure but lack many of the necessary terms to describe biodiversity data in all its dimensions. In this paper, we describe the motivation for and ongoing development of a new Biological Collections Ontology, the Environment Ontology, and the Population and Community Ontology. These ontologies share the aim of improving data aggregation and integration across the biodiversity domain and can be used to describe physical samples and sampling processes (for example, collection, extraction, and preservation techniques), as well as biodiversity observations that involve no physical sampling. Together they encompass studies of: 1) individual organisms, including voucher specimens from ecological studies and museum specimens, 2) bulk or environmental samples (e.g., gut contents, soil, water) that include DNA, other molecules, and potentially many organisms, especially microbes, and 3) survey-based ecological observations. We discuss how these ontologies can be applied to biodiversity use cases that span genetic, organismal, and ecosystem levels of organization. We argue that if adopted as a standard and rigorously applied and enriched by the biodiversity community, these ontologies would significantly reduce barriers to data discovery, integration, and exchange among biodiversity resources and researchers. (shrink)

Previous work has shown that the Complex Conceptual Spaces − Single Observation Mathematical framework is a useful tool for event characterization. This mathematical framework is developed on the basis of Conceptual Spaces and uses integer linear programming to find the needed similarity values. The work of this paper is focused primarily on space event characterization. In particular, the focus is on the ranking of threats for malicious space events such as a kinetic kill. To make the Conceptual Spaces framework work, (...) the similarity values between the contents of observations on the one hand and the properties of the entities observed on the other needs to be found. This paper shows how to exploit Dempster-Shafer theory to implement a statistical approach for finding these similarities values. This approach will allow a user to identify the uncertainty involved in similarity value data, which can later be propagated through the developed mathematical model in order for the user to know the overall uncertainty in the observation-to-concept mappings needed for space event characterization. (shrink)

Ontologies, as the term is used in informatics, are structured vocabularies comprised of human- and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integra- tion, sharing and analysis. They have also become a foundation of artificial intelligence (AI) research. In what follows, we outline the Coronavirus Infectious Disease Ontology (CIDO), which covers multiple areas in the domain of coronavirus diseases, including etiology, transmission, epidemiology, pathogenesis, diagnosis, (...) prevention, and treatment. We emphasize CIDO development relevant to COVID-19. (shrink)

The National Center for Biomedical Ontology is a consortium that comprises leading informaticians, biologists, clinicians, and ontologists, funded by the National Institutes of Health (NIH) Roadmap, to develop innovative technology and methods that allow scientists to record, manage, and disseminate biomedical information and knowledge in machine-processable form. The goals of the Center are (1) to help unify the divergent and isolated efforts in ontology development by promoting high quality open-source, standards-based tools to create, manage, and use ontologies, (2) to create (...) new software tools so that scientists can use ontologies to annotate and analyze biomedical data, (3) to provide a national resource for the ongoing evaluation, integration, and evolution of biomedical ontologies and associated tools and theories in the context of driving biomedical projects (DBPs), and (4) to disseminate the tools and resources of the Center and to identify, evaluate, and communicate best practices of ontology development to the biomedical community. Through the research activities within the Center, collaborations with the DBPs, and interactions with the biomedical community, our goal is to help scientists to work more effectively in the e-science paradigm, enhancing experiment design, experiment execution, data analysis, information synthesis, hypothesis generation and testing, and understand human disease. (shrink)

Throughout the biological and biomedical sciences there is a growing need for, prescriptive ‘minimum information’ (MI) checklists specifying the key information to include when reporting experimental results are beginning to find favor with experimentalists, analysts, publishers and funders alike. Such checklists aim to ensure that methods, data, analyses and results are described to a level sufficient to support the unambiguous interpretation, sophisticated search, reanalysis and experimental corroboration and reuse of data sets, facilitating the extraction of maximum value from data sets (...) them. However, such ‘minimum information’ MI checklists are usually developed independently by groups working within representatives of particular biologically- or technologically-delineated domains. Consequently, an overview of the full range of checklists can be difficult to establish without intensive searching, and even tracking thetheir individual evolution of single checklists may be a non-trivial exercise. Checklists are also inevitably partially redundant when measured one against another, and where they overlap is far from straightforward. Furthermore, conflicts in scope and arbitrary decisions on wording and sub-structuring make integration difficult. This presents inhibit their use in combination. Overall, these issues present significant difficulties for the users of checklists, especially those in areas such as systems biology, who routinely combine information from multiple biological domains and technology platforms. To address all of the above, we present MIBBI (Minimum Information for Biological and Biomedical Investigations); a web-based communal resource for such checklists, designed to act as a ‘one-stop shop’ for those exploring the range of extant checklist projects, and to foster collaborative, integrative development and ultimately promote gradual integration of checklists. (shrink)

In Democracy and the Claims of Nature, the leading thinkers in the fields of environmental, political, and social theory come together to discuss the tensions and sympathies of democratic ideals and environmental values. The prominent contributors reflect upon where we stand in our understanding of the relationship between democracy and the claims of nature. Democracy and the Claims of Nature bridges the gap between the often competing ideals of the two fields, leading to a greater understanding of each for the (...) other. (shrink)

What impact are we having on the environment around us? How can we limit the effect of human life on the natural world? These questions and more are considered in 'Advances in Sustainability and Environmental Justice' volume 13, which looks at environmental philosophy, humanity's place in the world, and how we can live in harmony with our planet.

This paper describes an AFOSR-supported basic research program that focuses on developing a new framework for combining hard with soft data in order to improve space situational awareness. The goal is to provide, in an automatic and near real-time fashion, a ranking of possible threats to blue assets (assets trying to be protected) from red assets (assets with hostile intentions). The approach is based on Conceptual Spaces models, which combine features from traditional associative and symbolic cognitive models. While Conceptual Spaces (...) are revolutionary, they lack an underlying mathematical framework. Several such frameworks have attempted to represent Conceptual Spaces, but by far the most robust is the model developed by Holender. His model utilizes integer linear programming in order to obtain an overall similarity value between observations and concepts that support the formation of hypotheses. This paper will describe a method for building Conceptual Spaces models for threats that utilizes ontologies as a means to provide a clear semantic foundation for this inferencing process; in particular threat ontologies and space domain ontologies are developed and employed in this approach. A space situational awareness use-case is presented involving a kinetic kill scenario and results are shown to assess the performance of this fusion-based inferencing framework. (shrink)

This paper provides a method for characterizing space events using the framework of conceptual spaces. We focus specifically on estimating and ranking the likelihood of collisions between space objects. The objective is to design an approach for anticipatory decision support for space operators who can take preventive actions on the basis of assessments of relative risk. To make this possible our approach draws on the fusion of both hard and soft data within a single decision support framework. Contextual data is (...) also taken into account, for example data about space weather effects, by drawing on the Space Domain Ontologies, a large system of ontologies designed to support all aspects of space situational awareness. The framework is coupled with a mathematical programming scheme that frames a mathematically optimal approach for decision support, providing a quantitative basis for ranking potential for collision across multiple satellite pairs. The goal is to provide the broadest possible information foundation for critical assessments of collision likelihood. (shrink)

Barry Dainton presents a fascinating new account of the self, the key to which is experiential or phenomenal continuity. Provided our mental life continues we can easily imagine ourselves surviving the most dramatic physical alterations, or even moving from one body to another. It was this fact that led John Locke to conclude that a credible account of our persistence conditions - an account which reflects how we actually conceive of ourselves - should be framed in terms of (...) mental rather than material continuity. But mental continuity comes in different forms. Most of Locke's contemporary followers agree that our continued existence is secured by psychological continuity, which they take to be made up of memories, beliefs, intentions, personality traits, and the like. Dainton argues that that a better and more believable account can be framed in terms of the sort of continuity we find in our streams of consciousness from moment to moment. Why? Simply because provided this continuity is not lost - provided our streams of consciousness flow on - we can easily imagine ourselves surviving the most dramatic psychological alterations. Phenomenal continuity seems to provide a more reliable guide to our persistence than any form of continuity. The Phenomenal Self is a full-scale defence and elaboration of this premise. The first task is arriving at an adequate understanding of phenomenal unity and continuity. This achieved, Dainton turns to the most pressing problem facing any experience-based approach: losses of consciousness. How can we survive them? He shows how the problem can be solved in a satisfactory manner by construing ourselves as systems of experiential capacities. He then moves on to explore a range of further issues. How simple can a self be? How are we related to our bodies? Is our persistence an all-or-nothing affair? Do our minds consist of parts which could enjoy an independent existence? Is it metaphysically intelligible to construe ourselves as systems of capacities? The book concludes with a novel treatment of fission and fusion. (shrink)

That uses of language not only can, but even normally do, have the character of actions was a fact largely unrealised by those engaged in the study of language before the present century, at least in the sense that there was lacking any attempt to come to terms systematically with the action-theoretic peculiarities of language use. Where the action-character of linguistic phenomena was acknowledged, it was normally regarded as a peripheral matter, relating to derivative or nonstandard aspects of language which (...) could afford to be ignored. (shrink)

Mentalistic (or Lockean) accounts of personal identity are normally formulated in terms of causal relations between psychological states such as beliefs, memories, and intentions. In this paper we develop an alternative (but still Lockean) account of personal identity, based on phenomenal relations between experiences. We begin by examining a notorious puzzle case due to Bernard Williams, and extract two lessons from it: first, that Williams's puzzle can be defused by distinguishing between the psychological and phenomenal approaches, second, that so far (...) as personal identity is concerned, it is phenomenal rather than psychological continuity that matters. We then consider different ways in which the phenomenal approach may be developed, and respond to a number of objections. That with which the consciousness of this present thinking thing can join itself, makes the same person, and is one self with it, and with nothing else; and so attributes to itself and owns all the actions of that thing, as its own, as far as that consciousness reaches, and no farther; as every one who reflects will perceive. Locke, Essay Concerning Human Understanding [II.xxvii.17]. (shrink)

The overall goal of the approach developed in this paper is to estimate the likelihood of a given kinetic kill scenario between hostile spacebased adversaries using the mathematical framework of Complex Conceptual Spaces Single Observation. Conceptual spaces are a cognitive model that provide a method for systematically and automatically mimicking human decision making. For accurate decisions to be made, the fusion of both hard and soft data into a single decision framework is required. This presents several challenges to this data (...) fusion framework. The first is the challenge involved in handling multiple complex terminologies, which is addressed by drawing on a set of Space Domain Ontologies. Another challenge is the complex combinatorics involved when considering all possible feature combinations. This can be mitigated by using integer linear programming optimization that is outlined by the Complex Conceptual Spaces Single Observation mathematical model framework. A third challenge is the complicated physics that is involved in a spacecraft collision that must be addressed to obtain a better understanding of threat assessment. Overcoming these various challenges allows for a quantitative ranking for the potential of a kinetic kill collision across multiple spacecraft pairs. In addition to overcoming these challenges this paper will break down threat assessment into four domains and identify a ranking of threat both for each individual domain and for the four domains combined. Simulation results are shown to verify the developed concepts. (shrink)

Co-authored letter to the APA to take a lead role in the recognition of teaching in the classroom, based on the participation in an interdisciplinary Conference on the Role of Advocacy in the Classroom back in 1995. At the time of this writing, the late Myles Brand was the President of Indiana University and a member of the IU Department of Philosophy.

Formalised knowledge systems, including universities and research institutes, are important for contemporary societies. They are, however, also arguably failing humanity when their impact is measured against the level of progress being made in stimulating the societal changes needed to address challenges like climate change. In this research we used a novel futures-oriented and participatory approach that asked what future envisioned knowledge systems might need to look like and how we might get there. Findings suggest that envisioned future systems will need (...) to be much more collaborative, open, diverse, egalitarian, and able to work with values and systemic issues. They will also need to go beyond producing knowledge about our world to generating wisdom about how to act within it. To get to envisioned systems we will need to rapidly scale methodological innovations, connect innovators, and creatively accelerate learning about working with intractable challenges. We will also need to create new funding schemes, a global knowledge commons, and challenge deeply held assumptions. To genuinely be a creative force in supporting longevity of human and non-human life on our planet, the shift in knowledge systems will probably need to be at the scale of the enlightenment and speed of the scientific and technological revolution accompanying the second World War. This will require bold and strategic action from governments, scientists, civic society and sustained transformational intent. (shrink)