2,523 research outputs found
Science and Values
This short paper, written for a wide audience, introduces "science and values" topics as they have arisen in the context of eugenics. The paper especially focuses on the context of 20th century eugenics in western Canada, where eugenic legislation in two provinces was not repealed until the 1970s and thousands of people were sterilized without their consent. A framework for understanding science-value relationships within this context is discussed, and so too is recent relevant work in philosophy of science
Full Open Population Capture-Recapture Models with Individual Covariates
Traditional analyses of capture-recapture data are based on likelihood
functions that explicitly integrate out all missing data. We use a complete
data likelihood (CDL) to show how a wide range of capture-recapture models can
be easily fitted using readily available software JAGS/BUGS even when there are
individual-specific time-varying covariates. The models we describe extend
those that condition on first capture to include abundance parameters, or
parameters related to abundance, such as population size, birth rates or
lifetime. The use of a CDL means that any missing data, including uncertain
individual covariates, can be included in models without the need for
customized likelihood functions. This approach also facilitates modeling
processes of demographic interest rather than the complexities caused by
non-ignorable missing data. We illustrate using two examples, (i) open
population modeling in the presence of a censored time-varying individual
covariate in a full robust-design, and (ii) full open population multi-state
modeling in the presence of a partially observed categorical variable
Biological Individuals
The impressive variation amongst biological individuals generates many complexities in addressing the simple-sounding question what is a biological individual? A distinction between evolutionary and physiological individuals is useful in thinking about biological individuals, as is attention to the kinds of groups, such as superorganisms and species, that have sometimes been thought of as biological individuals. More fully understanding the conceptual space that biological individuals occupy also involves considering a range of other concepts, such as life, reproduction, and agency. There has been a focus in some recent discussions by both philosophers and biologists on how evolutionary individuals are created and regulated, as well as continuing work on the evolution of individuality
Robust decision making for agile systems development Part 2: a decomposition and analysis
The need for agility in operational systems within the defence enterprise and procurement domains has been identified by many authors, and over time, there have been a number of initiatives and programmes that have sought to identify the nature of agility, and the means by which it can be defined and employed within individual cases and scenarios. These have identified impediments to the successful realization of agile practices and methods, particularly the resilience of agile decision making throughout the conceptual understanding, design and implementation of the operational system. To further investigate the extent to which this process can be implemented in a robust and reliable manner, Cranfield University created the ‘Robust Enterprise-based Approach for Agility in Capability Through-life (REA2CT)’ framework, which provides a number of functional steps to institute a systems development lifecycle approach to producing agile solutions for use in networked systems and systems-of-systems. This paper builds upon the description of the framework[1] by applying the Axiomatic Design (AD) theory to identify where complexity exists within the requirements and design activities that underpin the framework. Using this analysis, this paper identifies ‘pain points’ within the REA2CT framework, and suggests necessary improvements to facilitate the implementation of agility throughout the systems development lifecycle
Sprite Catcher: A Handheld Self Reflection and Mindfulness Tool for Mental Healthcare
This paper describes the rationale behind the ongoing development of Sprite Catcher - a handheld, tangible interactive tool for treating depression and anxiety. The current design, which is intended to encourage the user to practice self-reflection and mindfulness, is the product of participatory design conducted with counsellors from a local mental health charity and with a university psychology researcher. Through a review of previous work in this area, a description of a use scenario and an overview of the design's functions and concepts, we illustrate where the project is heading and which research questions we aim to respond to
Robust decision making for agile systems development Part 1: exploring the paradigm
The need for agility in operational systems within the defence enterprise and procurement domains has been identified by many authors, and over time, there have been a number of initiatives and programmes that have sought to identify the nature of agility, and the means by which it can be defined and employed within individual cases and scenarios. These have identified impediments to the successful realization of agile practices and methods, particularly the resilience of agile decision making throughout the conceptual understanding, design and implementation of the operational system. To further investigate the extent to which this process can be implemented in a robust and reliable manner, Cranfield University created the ‘Robust Enterprise-based Approach for Agility in Capability Through-life (REA2CT)’ framework, which provides a number of functional steps to institute a systems development lifecycle approach to producing agile solutions for use in networked systems and systems-of-systems. This paper briefly examines the Customer Need (CN) for the enterprise-based delivery of system (of systems) agility into the operational domain. Axiomatic Design (AD) theory is used to describe the REA2CT framework, identifying Functional Requirements (FRs) which might satisfy the CN for agility. Initial Design Parameters (DPs) are proposed to satisfy the FRs
Data Management
Goal: The overall goal of data management of farming information is to capture, organize and archive critical field data for modern farm planning, decision making and cropping system strategies during the growing season
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