25,395 research outputs found
A list of websites and reading materials on strategy & complexity
The list has been developed based on a broad interpretation of the subject of âstrategy & complexityâ. Resources will therefore more, or less directly relate to âbeing strategic in the face of complexityâ. Many of the articles and reports referred to in the attached bibliography can be accessed and downloaded from the internet. Most books can be found at amazon.com where you will often find a number of book reviews and summaries as well. Sometimes, reading the reviews will suffice and will give you the essence of the contents of the book after which you do not need to buy it. If the book looks interesting enough, buying options are easy
Complex Beauty
Complex systems and their underlying convoluted networks are ubiquitous, all
we need is an eye for them. They pose problems of organized complexity which
cannot be approached with a reductionist method. Complexity science and its
emergent sister network science both come to grips with the inherent complexity
of complex systems with an holistic strategy. The relevance of complexity,
however, transcends the sciences. Complex systems and networks are the focal
point of a philosophical, cultural and artistic turn of our tightly
interrelated and interdependent postmodern society. Here I take a different,
aesthetic perspective on complexity. I argue that complex systems can be
beautiful and can the object of artification - the neologism refers to
processes in which something that is not regarded as art in the traditional
sense of the word is changed into art. Complex systems and networks are
powerful sources of inspiration for the generative designer, for the artful
data visualizer, as well as for the traditional artist. I finally discuss the
benefits of a cross-fertilization between science and art
Holistic corpus-based dialectology
This paper is concerned with sketching future directions for corpus-based dialectology. We advocate a holistic approach to the study of geographically conditioned linguistic variability, and we present a suitable methodology, 'corpusbased dialectometry', in exactly this spirit. Specifically, we argue that in order to live up to the potential of the corpus-based method, practitioners need to (i) abandon their exclusive focus on individual linguistic features in favor of the study of feature aggregates, (ii) draw on computationally advanced multivariate analysis techniques (such as multidimensional scaling, cluster analysis, and principal component analysis), and (iii) aid interpretation of empirical results by marshalling state-of-the-art data visualization techniques. To exemplify this line of analysis, we present a case study which explores joint frequency variability of 57 morphosyntax features in 34 dialects all over Great Britain
Electronic fraud detection in the U.S. Medicaid Healthcare Program: lessons learned from other industries
It is estimated that between 850 billion annually is lost to fraud, waste, and abuse in the US healthcare system,with 175 billion of this due to fraudulent activity (Kelley 2009). Medicaid, a state-run, federally-matchedgovernment program which accounts for roughly one-quarter of all healthcare expenses in the US, has been particularlysusceptible targets for fraud in recent years. With escalating overall healthcare costs, payers, especially government-runprograms, must seek savings throughout the system to maintain reasonable quality of care standards. As such, the need foreffective fraud detection and prevention is critical. Electronic fraud detection systems are widely used in the insurance,telecommunications, and financial sectors. What lessons can be learned from these efforts and applied to improve frauddetection in the Medicaid health care program? In this paper, we conduct a systematic literature study to analyze theapplicability of existing electronic fraud detection techniques in similar industries to the US Medicaid program
Active learning based laboratory towards engineering education 4.0
Universities have a relevant and essential key role to ensure knowledge and development of competencies in the current fourth industrial revolution called Industry 4.0. The Industry 4.0 promotes a set of digital technologies to allow the convergence between the information technology and the operation technology towards smarter factories. Under such new framework, multiple initiatives are being carried out worldwide as response of such evolution, particularly, from the engineering education point of view. In this regard, this paper introduces the initiative that is being carried out at the Technical University of Catalonia, Spain, called Industry 4.0 Technologies Laboratory, I4Tech Lab. The I4Tech laboratory represents a technological environment for the academic, research and industrial promotion of related technologies. First, in this work, some of the main aspects considered in the definition of the so called engineering education 4.0 are discussed. Next, the proposed laboratory architecture, objectives as well as considered technologies are explained. Finally, the basis of the proposed academic method supported by an active learning approach is presented.Postprint (published version
Towards Value-Sensitive Learning Analytics Design
To support ethical considerations and system integrity in learning analytics,
this paper introduces two cases of applying the Value Sensitive Design
methodology to learning analytics design. The first study applied two methods
of Value Sensitive Design, namely stakeholder analysis and value analysis, to a
conceptual investigation of an existing learning analytics tool. This
investigation uncovered a number of values and value tensions, leading to
design trade-offs to be considered in future tool refinements. The second study
holistically applied Value Sensitive Design to the design of a recommendation
system for the Wikipedia WikiProjects. To proactively consider values among
stakeholders, we derived a multi-stage design process that included literature
analysis, empirical investigations, prototype development, community
engagement, iterative testing and refinement, and continuous evaluation. By
reporting on these two cases, this paper responds to a need of practical means
to support ethical considerations and human values in learning analytics
systems. These two cases demonstrate that Value Sensitive Design could be a
viable approach for balancing a wide range of human values, which tend to
encompass and surpass ethical issues, in learning analytics design.Comment: The 9th International Learning Analytics & Knowledge Conference
(LAK19
A holistic and participatory information system for rural water and sanitation sector in Latin America and the Caribbean
The provision of water supply, sanitation and hygiene services has emerged as a top priority in the development agenda in Latin American and the Caribbean. In light of the investments envisaged to reach the targets set by the Sustainable Development Goals (SDGs), information systems (IS) will play a key role in improving decision-making. In this context, this article introduces a global IS which is increasingly implemented in a number of countries across Latin America and the Caribbean as a policy instrument to support national and local decision-making: the Rural Water Supply and Sanitation Information System (SIASAR). This information system includes a comprehensive framework for data collection, data analysis and data dissemination that simultaneously fulfils different stakeholdersâ needs. This article analyses these three key monitoring issues from the viewpoint of stakeholdersâ involvement. Results indicate that SIASAR represents a suitable monitoring framework to analyse sustainable services and the level of service delivered. Additionally, it is highlighted the advantages of adopting a continued participatory approach in system development, namely i) the stimulation of experience exchange and knowledge sharing among recipient counties, ii) the promotion of learnt-by-doing, and iii) an increase of regional understanding, collaboration and comparison.Postprint (published version
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling
Communication consists of both meta-information as well as content.
Currently, the automated analysis of such data often focuses either on the
network aspects via social network analysis or on the content, utilizing
methods from text-mining. However, the first category of approaches does not
leverage the rich content information, while the latter ignores the
conversation environment and the temporal evolution, as evident in the
meta-information. In contradiction to communication research, which stresses
the importance of a holistic approach, both aspects are rarely applied
simultaneously, and consequently, their combination has not yet received enough
attention in automated analysis systems. In this work, we aim to address this
challenge by discussing the difficulties and design decisions of such a path as
well as contribute CommAID, a blueprint for a holistic strategy to
communication analysis. It features an integrated visual analytics design to
analyze communication networks through dynamics modeling, semantic pattern
retrieval, and a user-adaptable and problem-specific machine learning-based
retrieval system. An interactive multi-level matrix-based visualization
facilitates a focused analysis of both network and content using inline visuals
supporting cross-checks and reducing context switches. We evaluate our approach
in both a case study and through formative evaluation with eight law
enforcement experts using a real-world communication corpus. Results show that
our solution surpasses existing techniques in terms of integration level and
applicability. With this contribution, we aim to pave the path for a more
holistic approach to communication analysis.Comment: 12 pages, 7 figures, Computer Graphics Forum 2021 (pre-peer reviewed
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