This article focuses on some of the implications of Heidegger’s pragmatism for information technology analysis and critique. I survey Heidegger’s transformation of Enlightenment…
Abstract
This article focuses on some of the implications of Heidegger’s pragmatism for information technology analysis and critique. I survey Heidegger’s transformation of Enlightenment notions such as identity, proximity, community, disembodiment, pattern, representation and utopia to the phenomenological concepts of Dasein, care, being‐with, corporality, praxis, disclosure and the not‐yet. Each of these concepts return us to the issue of practice.
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COLIN H. DAVIDSON, PHILIPPE L. DAVIDSON and KALEV RUBERG
The building industry, through its structure and its mandate, faces endemic information problems; expert systems are expected to impact positively. Expert systems are suited to…
Abstract
The building industry, through its structure and its mandate, faces endemic information problems; expert systems are expected to impact positively. Expert systems are suited to situations of uncertainty; knowledge and reasoning are separated, allowing easier updating. Knowledge acquisition from human experts is difficult and problems of information reliability arise, suggesting the scope for cooperation between knowledge engineers and documentalists familiar with the domain. In building, prevailing conditions seem to indicate the appropriateness of expert systems, particularly during the design phase; however, written documentation and general research results are rarely consulted. This highlights the need for an information ‘refining’ stage between production and use. It is easier to set up expert systems for specialised sub‐domains; however, on‐going research is attempting to develop a comprehensive approach to project‐specific information that would be operational from initial design through to completed construction. Criteria for a comprehensive design information system can be listed.
Accurate documentation of damaged or destroyed historical buildings to protect cultural heritage has been on the agenda of architecture for many years. In that sense, this study…
Abstract
Purpose
Accurate documentation of damaged or destroyed historical buildings to protect cultural heritage has been on the agenda of architecture for many years. In that sense, this study uses machine learning (ML) to predict missing/damaged parts of historical buildings within the scope of early ottoman tombs.
Design/methodology/approach
This study uses conditional generative adversarial networks (cGANs), a subset of ML to predict missing/damaged parts of historical buildings within the scope of early Ottoman tombs. This paper discusses that using GAN as a ML framework is an efficient method for estimating missing/damaged parts of historical buildings. The study uses the plan drawings of nearly 200 historical buildings, which were prepared one by one as a data set for the ML process.
Findings
The study contributes to the field by (1) generating a mixed methodological framework, (2) validating the effectiveness of the proposed framework in the restitution of historical buildings and (3) assessing the contextual dependency of the generated data. The paper provides insights into how ML can be used in the conservation of architectural heritage. It suggests that using a comprehensive data set in the process can be highly effective in getting successful results. The findings of the research will be a reference for new studies on the conservation of cultural heritage with ML and will make a significant contribution to the literature.
Research limitations/implications
A reliable outcome has been obtained concerning the interpretation of documented data and the generation of missing data at the macro level. The framework is remarkably effective when it comes to the identification and re-generation of missing architectural components like walls, domes, windows, doors, etc. on a macro level without details. On the other hand, the proposed methodological framework is not ready for advanced steps of restitution since every case of architectural heritage is very detailed and unique. Therefore, the proposed framework for re-generation of missing components of heritage buildings is limited by the basic geometrical form which means the architectural details of the mentioned components including ornaments, materials, identification of construction layers, etc. are not covered.
Originality/value
The generic literature as to ML models used in architecture mostly constitutes design exploration and floor plan/urban layout generation. More specific studies in the conservation of architectural heritage by using ML mostly focus on architectural component recognition over 3D point cloud data (1) or superficial damage detection of heritage buildings (2). However, we propose a mixed methodological framework for the interpretation of documented architectural data and the regeneration of missing parts of historical buildings. In addition, the methodology and the results of this paper constitute a guide for further research on ML and consequently contribute to architects in the early phases of restitution.
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In her 25 years of teaching biological sciences, Professor Mary Coynehas sought appropriate diagrams and images to illustrate the concepts ofwhat she terms a visual discipline…
Abstract
In her 25 years of teaching biological sciences, Professor Mary Coyne has sought appropriate diagrams and images to illustrate the concepts of what she terms a visual discipline. Until recently, she used both slides and overhead transparencies during lectures – methods which she found inflexible, colorless, or boring. Moreover, these methods constantly thwarted her goal of new and better ways to illustrate a point. Frequent refocussing of the slide projector frustrated her by interrupting the flow of her lectures. Worse still was the scarcity of study review materials available for students. One slide carousel left on reserve at the library was never enough, nor was slide projection a practical study method.
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This paper explores the contribution of the AAA Symposium on Ethics Research in Accounting to fostering accounting ethics research. For a 17-year period, the contributors, their…
Abstract
This paper explores the contribution of the AAA Symposium on Ethics Research in Accounting to fostering accounting ethics research. For a 17-year period, the contributors, their schools of affiliation, and their research topics were analyzed to determine the extent of and trends in accounting ethics research. The research rankings of the contributing authors were examined in business ethics journals, top-40 accounting journals, and accounting education journals. Institutional rankings identify supportive places to do accounting ethics research. The impact of significant accounting scandals such as Enron and Madoff was examined and a financial scandal “bump” in paper presentations was found. Authors affiliated with Texas schools had papers following the state requirement of an ethics accounting course. A large amount of ethics education-related research was also presented at the Ethics Symposia. Overall the study results indicate that the Symposium with its AAA affiliation is a high-quality venue for paper presentation.
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Kirstin Hallmann and Gesine Harms
The purpose of this study is to investigate the determinants of volunteer's motivation at major sporting events, how those affect future voluntary engagement, and whether there…
Abstract
Purpose
The purpose of this study is to investigate the determinants of volunteer's motivation at major sporting events, how those affect future voluntary engagement, and whether there are differences in motivation based on the type of event.
Design/methodology/approach
A quantitative research design was chosen and volunteers at two major events in handball (n=96) and equestrian (n=83) were surveyed. Structural equation modelling was used based on a multi‐group analysis to answer the guiding research questions.
Findings
The results reveal that the expression of values and personal growth are the strongest factors influencing volunteer motivation and future behaviour. The factor “love of sport” had surprisingly no major effect on volunteer motivation at the handball event. Significant differences in volunteer motivation based on the type of event were detected.
Research limitations/implications
A limitation of this study is the rather small sample sizes. Nonetheless, the results appear reliable. One implication of this research is that a model proposed in previous research to investigate volunteer motivation at mega sport events can be applied to major sport events and the multi‐group approach is useful when analysing different events.
Practical implications
Practitioners should try to find a good match between the interests and abilities of the volunteers and their tasks at the event, which includes their motivations.
Originality/value
The value of this research lies in applying a new methodological approach using multi‐group analysis to volunteer research.
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The papers collected here were written for the second biennial Wirth conference on Austrian Economics. The Wirth Institute for Austrian and Central European Studies sponsored the…
Abstract
The papers collected here were written for the second biennial Wirth conference on Austrian Economics. The Wirth Institute for Austrian and Central European Studies sponsored the conference in cooperation with the University of Toronto in Mississauga. The conference was held from 17 to 18 October 2008 in Mississauga. The Wirth Institute has a natural home in Edmonton on the campus of the University of Alberta, which is a leading center for Central European Studies. The fact that the Institute has received support not only from government of Austria, but also from the governments of the Czech Republic, Hungary, Poland, Slovakia, and Slovenia reflects its historically minded recognition of the unique intellectual milieu of the Habsburg Empire. This intellectual milieu lasted beyond the breakup of the empire right through to the Anschluss in 1938. It is this milieu that shaped the Austrian school of economics and helped shape the context for the conference.
Peter J. Boettke, Christopher J. Coyne and Patrick Newman
This chapter provides a comprehensive survey of the contributions of the Austrian school of economics, with specific emphasis on post-WWII developments. We provide a brief history…
Abstract
This chapter provides a comprehensive survey of the contributions of the Austrian school of economics, with specific emphasis on post-WWII developments. We provide a brief history and overview of the original theorists of the Austrian school in order to set the stage for the subsequent development of their ideas by Ludwig von Mises and F. A. Hayek. In discussing the main ideas of Mises and Hayek, we focus on how their work provided the foundations for the modern Austrian school, which included Ludwig Lachmann, Murray Rothbard and Israel Kirzner. These scholars contributed to the Austrian revival in the 1960s and 1970s, which, in turn, set the stage for the emergence of the contemporary Austrian school in the 1980s. We review the contemporary development of the Austrian school and, in doing so, discuss the tensions, alternative paths, and the promising future of Austrian economics.