Collaborative Knowledge Production: Quality of Life in Saskatoon

Collaborative research partnerships are a predominate model in current academic research and funding. A corresponding expectation of formal knowledge production is the applicability of research results to practical situations. The inclusion of knowledge users in the production process is understood as the most likely way to ensure the application of knowledge. The increased interaction and collaboration within the formal knowledge system affects the nature and implications of knowledge production. Stemming from observations of changes in the natural and information sciences, Gibbons et al. (1994: 34) describe Mode 2 knowledge production as “contextualized, heterogeneous, and reflexive production of knowledge for the purpose of application”. However, Gibbons et al. (1994) do not adequately address the changes of knowledge production within the social sciences. This project aims to fill this gap in the Mode 2 theory. This thesis provides a case study of a Community-University partnership as an example of collaborative and applied research in the social sciences. Findings from a qualitative, interpretative and thematic analysis of documents indicate that the Mode 2 theory does not entirely describe research characteristic of the social sciences, and lacks in three essential components: issues related to institutional adjustments and ethics; funding and sustainability for Mode 2 research; and conflict and unequal power relations within partnerships. However, Mode 2 research is found to describe the essential framework for which this collaborative research partnership in the health and social sciences operated

Applications of Causality and Causal Inference in Software Engineering

Causal inference is a study of causal relationships between events and the statistical study of inferring these relationships through interventions and other statistical techniques. Causal reasoning is any line of work toward determining causal relationships, including causal inference. This paper explores the relationship between causal reasoning and various fields of software engineering. This paper aims to uncover which software engineering fields are currently benefiting from the study of causal inference and causal reasoning, as well as which aspects of various problems are best addressed using this methodology. With this information, this paper also aims to find future subjects and fields that would benefit from this form of reasoning and to provide that information to future researchers. This paper follows a systematic literature review, including; the formulation of a search query, inclusion and exclusion criteria of the search results, clarifying questions answered by the found literature, and synthesizing the results from the literature review. Through close examination of the 45 found papers relevant to the research questions, it was revealed that the majority of causal reasoning as related to software engineering is related to testing through root cause localization. Furthermore, most causal reasoning is done informally through an exploratory process of forming a Causality Graph as opposed to strict statistical analysis or introduction of interventions. Finally, causal reasoning is also used as a justification for many tools intended to make the software more human-readable by providing additional causal information to logging processes or modeling languages

Front-Line Physicians' Satisfaction with Information Systems in Hospitals

Day-to-day operations management in hospital units is difficult due to continuously varying situations, several actors involved and a vast number of information systems in use. The aim of this study was to describe front-line physicians' satisfaction with existing information systems needed to support the day-to-day operations management in hospitals. A cross-sectional survey was used and data chosen with stratified random sampling were collected in nine hospitals. Data were analyzed with descriptive and inferential statistical methods. The response rate was 65 % (n = 111). The physicians reported that information systems support their decision making to some extent, but they do not improve access to information nor are they tailored for physicians. The respondents also reported that they need to use several information systems to support decision making and that they would prefer one information system to access important information. Improved information access would better support physicians' decision making and has the potential to improve the quality of decisions and speed up the decision making process.Peer reviewe

Coatings for Corrosion Protection: Offshore Oil and Gas Operation Facilities, Marine Pipeline and Ship Structures

This workshop on Coatings for Corrosion Protection: Offshore Oil and Gas Operation Facilities, Marine Pipelines, Ship Structures, and Port Facilities was held on April 14-16, 2004 in Biloxi, Mississippi. This workshop of 150 attendees drew participation by internationally recognized marine coating experts, material specialists, inspection specialists, coating manufacturers, maintenance engineers, and designers. The workshop was crafted to include multiple viewpoints: industrial, academic, environmental, regulatory, standardization, and certification. Keynote and topic papers were presented to establish a current information base for discussions. Six discussion groups addressed specific issues and identified, prioritized, and recommended specific research and development topics for the government and industries to undertake. The recommendations of this workshop offer a clear identification of research and development issues and create a roadmap for achieving them

Increasing agriculture sustainability in Europe: driving factors for agroforestry implementation

Agroforestry contributes to challenges such as feeding increasing populations, depletion of natural resources and the impact of climate change. This thesis aims at analysing the drivers of the European farmers and foresters for implementing or not agroforestry in their lands, and how the last Common Agricultural Policy affected the promotion of agroforestry in Europe. The major driving forces are tradition in the family or the region, diversification of products and learning from successful experiences. The promotion of the woody component can be appreciated in different sections of the CAP linked to Pillar I and Pillar II, although lack of consistency between Pillars are one of the main drawbacks to adopt agroforestry

A software development framework for context-aware systems

The beginning of the new century has been characterised by the miniaturisation and accessibility of electronics, which has enabled its widespread usage around the world. This technological background is progressively materialising the future of the remainder of the century, where industry-based societies have been moving towards information-based societies. Information from users and their environment is now pervasively available, and many new research areas have born in order to shape the potential of such advancements. Particularly, context-aware computing is at the core of many areas such as Intelligent Environments, Ambient Intelligence, Ambient Assisted Living or Pervasive Computing. Embedding contextual awareness into computers promises a fundamental enhancement in the interaction between computers and humans. While traditional computers require explicit commands in order to operate, contextually aware computers could also use information from the background and the users to provide services according to the situation. But embedding this contextual awareness has many unresolved challenges. The area of context-aware computing has attracted the interest of many researchers that have presented different approaches to solve particular aspects on the implementation of this technology. The great corpus of research in this direction indicates that context-aware systems have different requirements than those of traditional computing. Approaches for developing context-aware systems are typically scattered or do not present compatibility with other approaches. Existing techniques for creating context-aware systems also do not focus on covering all the different stages of a typical software development life-cycle. The contribution of this thesis is towards the foundation layers of a more holistic approach, that tries to facilitate further research on the best techniques for developing these kinds of systems. The approach presents a framework to support the development not only with methodologies, but with open-source tools that facilitate the implementation of context-aware systems in mobile and stationary platforms

Biometric Systems

Biometric authentication has been widely used for access control and security systems over the past few years. The purpose of this book is to provide the readers with life cycle of different biometric authentication systems from their design and development to qualification and final application. The major systems discussed in this book include fingerprint identification, face recognition, iris segmentation and classification, signature verification and other miscellaneous systems which describe management policies of biometrics, reliability measures, pressure based typing and signature verification, bio-chemical systems and behavioral characteristics. In summary, this book provides the students and the researchers with different approaches to develop biometric authentication systems and at the same time includes state-of-the-art approaches in their design and development. The approaches have been thoroughly tested on standard databases and in real world applications

The essential role of language in survey research

Language users, such as survey respondents and interviewers, must speak the same language literally and figuratively to interact with each other. As diversity grows in the United States and globally, interviewers and respondents may speak a different language or speak the same language differently that reflects their own cultural norms of communication. This book discusses the role of language in survey research when comparisons across groups, cultures, and countries are of interest. Language use in surveys is dynamic, including words, symbols (e.g., arrows), and even emojis. The entire survey life cycle is carried out through language. Researchers write or translate questions and instructions that will address research questions and then pretest them using various techniques, including qualitative inquiry that focuses on context beyond just “the numbers.” Human or virtual data collectors use persuasive messages to communicate with survey respondents and encourage their survey participation. Respondents must comprehend and interpret survey questions and instructions to provide a response. All of these survey processes and products contribute to data quality, and the role of language is essential