Applications in the social and behavioural sciences Books

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Book SynopsisThis book dives into the achievements, opportunities, risks and dangers of ICT in the rural Global South, and takes a look at the likely future.Drawing on years of experience across 45 counties, as well as extensive original academic research, Willem van Eekelen situates the evolving role of ICT in wider development patterns in the Global South. He discusses the effects of ICT on agriculture, trade, financial flows, resource management and governmental performance. He then considers the associated risks of financial insecurity, online gambling, exclusion, misinformation and the effects of ICT on people's freedom. The book concludes with six recommendations to maximise the usefulness of rural ICT investments and minimise the risk of them causing harm.This engaging and authoritative account of ICT and rural development will help students, academics, governmental policymakers, donors and investors wishing to support socio-economic development in the Global South.Trade ReviewThe book provides a fresh and exciting view of how technology is used in rural areas in the Deep South. I enjoyed reading the examples and feedback as well as the opportunities, future, and challenges experienced in their own contexts. I think a tremendous amount of knowledge is shared that can assist similar future projects in knowing how to approach ICT in rural contexts and what the pitfalls and dangers to be aware of. M. E. Herselman, Council for Scientific and Industrial Research (CSIR), CSIR, Pretoria Campus, Pretoria, Gauteng, South AfricaWillem van Eekelen, in ICT and Rural Development in the Global South, provides an open and honest review of ICT4D in the Global South. Van Eekelen's experience is clear to anyone who has worked in this field, and his knowledge of the benefits and risks is reflected on each page. Not only does he debunk many myths of ICT for development, but he also provides insight into where ICT can be beneficial, what risks ICT4D faces,and how to mitigate them. [...] ICT and Rural Development in the Global South is a must-read for anyone involved in ICT4D wanting to make a noticeable difference to livelihoods in the Global South.Malcolm Garbutt, University of the Western Cape, Bellville, South AfricaTable of ContentsPROLOGUE PART 1: ICT’S CONTRIBUTIONS TO RURAL DEVELOPMENT Introduction Chapter 1: Agricultural production processes Chapter 2: Trade Chapter 3: Diversified livelihoods Chapter 4: Microfinance Chapter 5: Remittances and social assistance Chapter 6: E-government Chapter 7: Climate change and natural resource management Chapter 8: The spread of ICT products and services PART 2: THE RISKS, DANGERS AND EXTERNALITIES OF ICT Introduction Chapter 9: Farming and rural employment Chapter 10: Financial safety and security Chapter 11: Gambling Chapter 12: The digital divide and its effects Chapter 13: Misinformation Chapter 14: Inclusivity and civic space CONCLUSIONS ANNEX 1: METHODOLOGY ANNEX 2: RESEARCH INTEGRITY AND ETHICS

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Book SynopsisPsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. "This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills." – Susanne Quadflieg, University of BristolTrade ReviewThe 2020 pandemic has forced a lot of researchers to move their physical lab experiments online. If you are already doing this, or thinking about it, the second edition of "Building Experiments in PsychoPy" is a must have. The new edition offers sage advice on online data collection and provides a walkthrough on how to use some of its new components (e.g., creating surveys via Forms. ). -- Jason GellerIn ye olden days when I was a student, we had to script our experiments, which was tedious and error-prone, or use proprietary software, which was expensive and inflexible. This is why I love PsychoPy Builder, and Building Experiments in PsychoPy is a great resource for today‘s budding experimenters. -- Heiða María SigurðardóttirTable of ContentsChapter 1: Introduction PART I: FOR THE BEGINNER Chapter 2: Building your first experiment Chapter 3: Using images: A study into face perception Chapter 4: Timing and brief stimuli: Posner cueing Chapter 5: Running studies online Chapter 6: Creating dynamic stimuli (revealing text and moving stimuli) Chapter 7: Providing feedback: Simple code components Chapter 8: Collecting survey data using forms Chapter 9: Using sliders Chapter 10: Randomizing and counterbalancing blocks of trials: A bilingual Stroop task Chapter 11: Using the mouse for input: Creating a visual search task PART II: FOR THE PROFESSIONAL Chapter 12: Implementing research designs with randomization Chapter 13: Coordinates and color spaces Chapter 14: Understanding your computer timing issues Chapter 15: Monitors and monitor center Chapter 16: Debugging your experiment Chapter 17: Pro tips, tricks, and lesser-known features PART III: FOR THE SPECIALIST Chapter 18: Psychophysics, stimuli and staircases Chapter 19: Building an FMRI study Chapter 20: Building an EEG study Chapter 21: Add eye tracking to your experiment Appendices

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Book SynopsisThe Internet has changed the past. Social media, Wikipedia, mobile networks, and the viral and visual nature of the Web have inundated the public sphere with historical information and misinformation, changing what we know about our history and History as a discipline. This is the first book to chronicle how and why it matters. Why does History matter at all? What role do history and the past play in our democracy? Our economy? Our understanding of ourselves? How do questions of history intersect with today’s most pressing debates about technology; the role of the media; journalism; tribalism; education; identity politics; the future of government, civilization, and the planet? At the start of a new decade, in the midst of growing political division around the world, this information is critical to an engaged citizenry. As we collectively grapple with the effects of technology and its capacity to destabilize our societies, scholars, educators and the general public should be aware of how the Web and social media shape what we know about ourselves - and crucially, about our past. Table of Contents1. Introduction2. e-History: Not Quite History, Not Quite The Past3. The Crowd-Sourced Past4. Nostalgia On-Demand5. The Viral Past6. The Visual Past7. The Newsworthy Past8. The Storytelling Past9. History.AI10. Does History Have A Future?

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Book SynopsisThis open access collection examines how higher education responds to the demands of the automation economy and the fourth industrial revolution. Considering significant trends in how people are learning, coupled with the ways in which different higher education institutions and education stakeholders are implementing adaptations, it looks at new programs and technological advances that are changing how and why we teach and learn. The book addresses trends in liberal arts integration of STEM innovations, the changing role of libraries in the digital age, global trends in youth mobility, and the development of lifelong learning programs. This is coupled with case study assessments of the various ways China, Singapore, South Africa and Costa Rica are preparing their populations for significant shifts in labour market demands – shifts that are already underway. Offering examples of new frameworks in which collaboration between government, industry, and higher education institutions can prevent lagging behind in this fast changing environment, this book is a key read for anyone wanting to understand how the world should respond to the radical technological shifts underway on the frontline of higher education.Table of Contents

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Book SynopsisThis book shows how the unique characteristics of traditionally differentiated media continue to determine narrative despite the recent digital convergence of media technologies. The author argues that media are now each largely defined by distinctive industrial practices that continue to preserve their identities and condition narrative production. Furthermore, the book demonstrates how a given medium’s variability in institutional and technological contexts influences diverse approaches to storytelling. By connecting US film, television, comic book and video game industries to their popular fictional characters and universes; including Star Wars, Batman, Game of Thrones and Grand Theft Auto; the book identifies how differences in industrial practice between media inform narrative production. This book is a must read for students and scholars interested in transmedia storytelling. Trade Review“A solid and engaging examination of narrative and medium in the entertainment industries that will appeal to scholars in a wide range of fields related to media studies. This is an ambitious manuscript that accomplishes its goal of discussing the narrative differences between and within serial media in the current entertainment industries. … One of the things that makes this book such a joy to read is the wealth of information provided here.” (Jessica Bay, Projections, Vol. 15 (1), 2021)“This is an impressive study, drawing on significant archival resources, that dazzles with the breadth of knowledge of different fields, … to simplify occasionally.” (Elke Weissmann, Critical Studies in Television, Vol. 14 (1), 2019)Table of Contents1. Introduction2. Narratives in the Media Convergence Era: The Industrial Dimensions of Medium Specificity.3. Economic Specificity in Narrative Design: the Business of Television Drama Storytelling.4. Audience Specificity in Narrative Design: Comic-Book Storytelling in the Inclusivity Era.5. Technological Specificity in Narrative Design: Story-Driven Videogame Series in an Upgrade Culture.6. Conclusion.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of 4 workshops, held at the 5th International Conference on Internet Science, St. Petersburg, Russia, in October 2018: Workshop 1 : Detecting Social Problems in Online Content, Workshop 2: CONVERSATIONS, Workshop 3: The Future of Decentralized Governance: A Workshop on Encryption,Blockchains, and Personal Data, and Workshop 4: Internet as an issue: An international workshop on governmentand media narratives. The 20 full papers presented together with 4 short papers were carefully reviewed and selected from 38 submissions. The contributions of the Workshop 1: Detecting Social Problems in Online Content has united Russian scholars who work upon Russian-language datasets. Workshop 2: CONVERSATIONS: An international workshop on chatbot research and design regularly discusses the novel issues in their research and production area. Workshop 3: The Future of Decentralized Governance: A Workshop on Encryption, Blockchains, and Personal Data. At this workshop scholars and industry representatives from France, the Netherlands, the UK, and Russia have discussed distributed governance technologies based on blockchain and other privacy-protecting technologies. Workshop 4: Internet as an issue: An international workshop on government and media narratives took a rare approach and regarded Internet as a focus for public discussion. Table of ContentsDetecting Social Problems in Online Content.- CONVERSATIONS 2018 - 2nd International Workshop on Chatbot Research.- The Future of Decentralized Governance Workshop.- Internet as an Issue: an International Workshop on Government andMedia Narratives.

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Book SynopsisThis book constitutes the proceedings of the 15th International Conference on Intelligent Tutoring Systems, ITS 2019, held in Kingston, Jamaica, in June 2019. The 14 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. In the back matter of the volume 4 poster papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting, and enhancing human learning.Table of ContentsA Learning Early-warning Model Based on Knowledge Points.- Adaptive Learning Spaces with Context-Awareness.- Agents’ Cognitive vs. Socio-affective Support in Response to Learner’s Confusion.- An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving.- Analysis and Prediction of Student Emotions While Doing Programming Exercises.- Analyzing Best Hints for a Programming IST.- Analyzing the Group Formation Process in Intelligent Tutoring Systems.- Analyzing the usage of the classical ITS software architecture and refining it.- Assessing Students’ Clinical Reasoning using Gaze and EEG Features.- Computer-Aided Intervention for Reading Comprehension Disabilities.- Conceptualization of IMS that Estimates Learners’ Mental States from Learners’ Physiological Information Using Deep Neural Network Algorithm.- Data-Driven Student Clusters Based on Online Learning Behavior in a Flipped Classroom with an Intelligent Tutoring System.- Decision Support for an Adversarial Game Environment using Automatic Hint Generation.- Detecting Collaborative Learning through Emotions: An Investigation using Facial Expression Recognition.- Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents.- Intelligent On-line Exam Management and Evaluation System.- Learning by Arguing in Argument-Based Machine Learning Framework.- Model for data analysis process and its relationship to the hypothesis-driven and data-driven research approaches.- On the discovery of educational patterns using biclustering.- Parent-Child Interaction in Children's Learning How to Use a New Application.- Patterns of Collaboration Dialogue Acts in Typed-Chat Group Problem-Solving.- PKULAE: A Learning Attitude Evaluation Method Based on Learning Behavior.- Predicting MOOCs Dropout Using only two easily obtainable Features from the First Week’s Activities.- Predicting subjective enjoyment of aspects of a videogame from psychophysiological measures of arousal and valence.- Providing the Option to Skip Feedback – A Reproducibility Study.- Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing.- Representing and Evaluating Strategies for Solving Parsons Puzzles.- Testing the Robustness of Inquiry Practices once Scaffolding is Removed.- Toward Real-Time System Adaptation using Excitement Detection from Eye Tracking.- Towards Predicting Attention And Workload During Math Problem Solving.- Using a Simulator to Choose the Best Hints in a Reinforcement Learning-Based Multimodal ITS.

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Book SynopsisThis book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing.Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.Table of ContentsPart I: Understanding Musical IntelligenceCognitive Neuroscience of Music Stefan Koelsh The Musical Brain Aniruddh Patel The Neuroscience of Musical Improvisation Psyche Loui Part II: Machine Perception and Analysis Machine Listening of Music Juan Pablo Bello Convolutional Neural Networks for Audio Spectrogram Representation Lonce Wyse Robot Musicianship Gil Weinberg Robot Understanding of Conductor Gestures Atsuo Takahishi Human-Robot Emotional Musical Interaction Massimiliano Zecca Machine Recognition of Musical Emotion Yi-Hsuan Yang and Homer H. Chen Optical Recognition of Music Notation Ana Bebelo Music Transcription: from Audio to Music Notation Emmanouil Benetos Machine Learning System for Harmonic Analysis of Music Tijl De Bie Machine Learning of Jazz Jon Gillick Artificial Intelligence Data Mining for Music Tao Li Machine Learning of Body Movement in Instrumental Music Performance Federico Visi Machine Learning of Orchestral Conductor’s Baton Movements Donald G. Dansereau Machine Recognition of Music Emotion Yi-Hsuan Yang and Homer H. Chen Part III: Machine Composing and Performance Flow Machines Francois Pachet Machine Improvisation Shlomo Dubnov Artificial Agents for Collaborative Free Improvisation Adam Linson Symbolic Computational Creativity David Cope Tracing the Compositional Process Hanns Holger Rutz Composing with Intelligent Interactive Musical Agents Marcelo Gimenes Creating Music Autonomously with Evolutionary Algorithms Francisco J. Vico Constraint-Solving System for Generating Music Scores Orjan Sandred Constraint Modeling of Music Theories Torsten Anders Machine Learning Algorithm for Musical Composition Rebecca Fierbink An Artificial Intelligence Approach to Concatenative Sound Synthesis Noris Modh Norowi Sound Synthesis with Deep Neural Networks Jesse Engel On Computer-Aided Orchestration Marcelo Caetano Gesture Data in Musical Composition Marlon Schumacher and Marcelo Wanderley Surveying Systems for Expressive Musical Performance by Computer Alexis Kirke Computer-Assisted Analysis of Musical Interpretation Gerhard Widmer Gesture Recognition in Interactive Music Performance Dan Overholt Designing Constraints for Composition and Performance with Computers Thor Magnusson Part IV: Emerging Developments in Musical AI Machine Learning for Brain-Computer Music Interfacing Eduardo R. Miranda and Satvik Venkatesh Biological Neural Networks Synthesiser Guy Ben-Ary Sound and Music Biocomputing Eduardo R. Miranda and Edward Braund Musical Machine Learning with Biomemristors Eduardo R. Miranda and Edward Braund The Dawn of Quantum Computer Music Eduardo R. Miranda

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Book SynopsisThis Pivot investigates the impact of the digital on literary culture through the analysis of selected marketing narratives, social media stories, and reading communities. Drawing on the work of contemporary writers, from Bernardine Evaristo to Patricia Lockwood, each chapter addresses a specific tension arising from the overarching question: How has writing culture changed in this digital age? By examining shifting modes of literary production, this book considers how discourses of writing and publishing and hierarchies of cultural capital circulate in a socially motivated post-digital environment. Writing Cultures and Literary Media combines compelling accounts of book trends, reader reception, and interviews with writers and publishers to reveal fresh insights for students, practitioners, and scholars of writing, publishing, and communications. Table of ContentsIntroduction.- Chapter 1 Convergence culture: new book concepts for new audiencesChapter 2 Futurebook critics and cultural curators in a socially networked ageChapter 3 Curses and verses: Social media and the shock of the new in poetry and criticismChapter 4 Authentic fictions: Marketing stick storiesChapter 5 Visual editions: The analogue renaissance in an age of storytellingConclusion

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Book SynopsisThis open access book will examine the implications of digitalization for the understanding of humanity, conceived as a community of intelligent agency. It addresses important topics across a range of social and behavioral theories and identifies a range of novel mechanisms and their social behavioral effects. Across the book, the author highlights the expansion of intelligent processing capability brought about by digitalization and the challenges this exposes for integrating artificial and human capabilities. It includes the altered effects of bounded rationality in problem solving and decision making; related changes in the perception of rationality, plus novel myopias and biases. It also seeks to address cognitive intersubjectivity, learning from performance and agentic self-generation; and the novel methods and patterns of reasoned thought which emerge in a digitalized world; and how these mechanisms will combine in making and remaking the world of human experience and understanding. This book examines the problematics and prospects for digitally augmented humanity. In doing so, it maps the terrain for a future science of augmented agency. It will have cross-disciplinary appeal to students and scholars of applied psychology, cognitive and behavioral science, organizational psychology and management, business, finance, and digital cultures and humanities.Trade Review“This book provides an insightful introduction to the social and behavioral implications of human-computer integration, aimed at a wide audience from both human and computer sciences. The proposed conceptualization of augmented agency can provide a structural basis for exploring intelligence augmentation and promote further research in the field.” (Evangelia Kavakli, Computing Reviews, October 5, 2022)Table of ContentsChapter 1: Modeling Augmented HumanityChapter 2: Historical Metamodels of AgencyChapter 3: Agentic ModalityChapter 4: Problem SolvingChapter 5: Cognitive EmpathyChapter 6: Self-RegulationChapter 7: Evaluation of PerformanceChapter 8: LearningChapter 9: Self-GenerationChapter 10: Toward a Science of Augmented Agency

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Book SynopsisThis book constitutes the proceedings of the 24th International Conference on Discovery Science, DS 2021, which took place virtually during October 11-13, 2021.The 36 papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: applications; classification; data streams; graph and network mining; machine learning for COVID-19; neural networks and deep learning; preferences and recommender systems; representation learning and feature selection; responsible artificial intelligence; and spatial, temporal and spatiotemporal data. Table of ContentsApplications.- Automated Grading of Exam Responses: An Extensive Classification Benchmark.- Automatic human-like detection of code smells.- HTML-LSTM: Information Extraction from HTML Tables in Web Pages using Tree-Structured LSTM.- Predicting reach to find persuadable customers: improving uplift models for churn prevention.- Classification.- A Semi-Supervised Framework for Misinformation Detection.- An Analysis of Performance Metrics for Imbalanced Classification.- Combining Predictions under Uncertainty: The Case of Random Decision Trees.- Shapley-Value Data Valuation for Semi-Supervised Learning.- Data streams.- A Network Intrusion Detection System for Concept Drifting Network Traffic Data.- Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams.- Statistical Analysis of Pairwise Connectivity.- Graph and Network Mining.- FHA: Fast Heuristic Attack against Graph Convolutional Networks.- Ranking Structured Objects with Graph Neural Networks.- Machine Learning for COVID-19.- Knowledge discovery of the delays experienced in reporting covid19 confirmed positive cases using time to event models.- Multi-Scale Sentiment Analysis of Location-Enriched COVID-19 Arabic Social Data.- Prioritization of COVID-19 literature via unsupervised keyphrase extraction and document representation learning.- Sentiment Nowcasting during the COVID-19 Pandemic.- Neural Networks and Deep Learning.- A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data.- Calibrated Resampling for Imbalance and Long-Tails in Deep learning.- Consensus Based Vertically Partitioned Multi-Layer Perceptrons for Edge Computing.- Controlling BigGAN Image Generation with a Segmentation Network.- GANs for tabular healthcare data generation: a review on utility and privacy.- Preferences and Recommender Systems.- An Ensemble Hypergraph Learning framework for Recommendation.- KATRec: Knowledge Aware aTtentive Sequential Recommendations.- Representation Learning and Feature Selection.- Elliptical Ordinal Embedding.- Unsupervised Feature Ranking via Attribute Networks.- Responsible Artificial Intelligence.- Deriving a Single Interpretable Model by Merging Tree-based Classifiers.- Ensemble of Counterfactual Explainers. Riccardo Guidotti and Salvatore Ruggieri.- Learning Time Series Counterfactuals via Latent Space Representations.- Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems.- Local Interpretable Classifier Explanations with Self-generated Semantic Features.- Privacy risk assessment of individual psychometric profiles.- The Case for Latent Variable vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19.- Spatial, Temporal and Spatiotemporal Data.- Local Exceptionality Detection in Time Series Using Subgroup Discovery.- Neural Additive Vector Autoregression Models for Causal Discovery in Time Series.- Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data.

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Book SynopsisThis volume constitutes selected papers presented at the First International Conference on Frontiers in Software Engineering, ICFSE 2021, hekd in Innopolis, Russia, in June 2021. The 13 presented full papers were thoroughly reviewed and selected from 37 submissions. The papers present discussion on such topics as software engineering tools and environments; empirical software engineering; model-driven and domain-specific engineering, human factors and social aspects of software engineering, cooperative, distributed, and global software engineering, component-based software engineering, software metrics, and software engineering for green and sustainable technologies.Table of ContentsInstitutional Commitment and Leadership as Prerequisites for Successful Comprehensive Internationalization.- Software Engineering as an Alchemical Process: Establishing a philosophy of the discipline.- AI Empowered DevSecOps Security for Next Generation Development.- A Case Study on Combining Agile and User Centered Design.- An Analysis of the Sensitivity of Software Reliability Growth Models using Bootstrap and Monte Carlo Simulations.- A study: Design patterns detection approaches and Impact on software quality.- Skills development through agile capstone projects.- Impact of the Communication Issues: A Case Study of IT Start-Up.- Evolution of Information System Design Methodologies: the IFIP Conference Management Problem Revisited.- Development of a Method and a Software for Decision-Making, System Modeling and Planning of Business Processes.- “Extreme development” as a means for learning agile.- A Meta-Analytical Comparison of Energy Consumed by Two Different Programming Languages.- Toward Inclusion of Children as Software Engineering Stakeholders.

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Book SynopsisThis book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Higher Education Learning Methodologies and Technologies Online, HELMeTO 2021, held in Pisa, Italy, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 26 revised full papers and 3 short papers presented were carefully reviewed and selected from a total of 65 submissions. The papers present recent research on challenges of implementing emerging technology solution for online, online learning pedagogical frameworks, facing COVID19 emergency in higher education teaching and learning, online learning technologies in practice, online learning strategies and resources, etc. Table of ContentsMethodologies for distance learning in higher education.- Technologies for Distance Learning in Higher Education.- Facing COVID19 Emergency in Higher Education Teaching.- Digital skills in e-learning and continuous online training.- Student’s perception of online learning, teaching, and assessment in higher education.- Faculty Development, Distance Education and online learning systems in higher education.- E-learning and disciplinary teaching: issues and innovations in contemporary higher education.- From an emergency DaD to new forms of blended learning via effectie methodologies to design, deliver and evaluate learning.

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Book SynopsisThis book constitutes the proceedings of the 30th International Conference on Case-Based Reasoning, ICCBR 2022, which took place in Nancy, France, during September 12-15, 2022.The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI).Table of ContentsExplainability in CBR Using Case-based Reasoning for Capturing Expert Knowledge on Explanation Methods.- A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations.- How close is too close? The Role of Feature Attributions in Discovering Counterfactual Explanations.- Algorithmic Bias and Fairness in Case-Based Reasoning.- ”Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI).- Representation and Similarity Extracting Case Indices from Convolutional Neural Networks: A Comparative Study.- Exploring the Effect of Recipe Representation on Critique-based Conversational Recommendation.- Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study.- Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud.- Adaptation and Analogical Reasoning Case Adaptation with Neural Networks: Capabilities and Limitations.- A Deep Learning Approach to Solving Morphological Analogies.- Theoretical and Experimental Study of a Complexity Measure for Analogical Transfer.- Graphs and Optimisation Case-Based Learning and Reasoning Using Layered Boundary Multigraphs.- swarm optimization in small case bases for software effort estimation.- MicroCBR: Case-based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting.- GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning.- Never judge a case by its (unreliable) neighbors: Estimating Case Reliability for CBR.- CBR and Neural Networks Improving Automated Hyperparameter Optimization with Case-Based Reasoning.- A factorial study of neural network learning from differences for regression.- ase-Based Inverse Reinforcement Learning Using Temporal Coherence.- Analogy-based post-treatment of CNN image segmentations.- Case-Based Applications An Extended Case-Based Reasoning Approach to Race-Time Prediction in Recreational Marathon Runners.- Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI.- A Case-Based Approach for Content Planning in Data-to-Text Generation.- The use of computer-assisted Case-Based Reasoning to support clinical decision-making – a scoping review.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th International Conference on Brain Informatics, BI 2022, held as hybrid event in Padua, Italy (in person) and Queensland, Australia (online) in July 2022. The 29 papers were selected from 65 submissions and the main theme of BI 2022 is Brain Science meets Artificial Intelligence with respect to the five tracks: Cognitive and computational foundations of brain science; human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain inspired computing.Table of ContentsCognitive and Computational Foundations of Brain Science.- Estimating the Temporal Evolution of Synaptic Weights from Dynamic Functional Connectivity.- From concrete to abstract rules: A computational sketch.- Detection of Healthy and Unhealthy Brain States from Local Field Potentials using Machine Learning.- COSLETS: Recognition of Emotion Based on EEG signals.- Influences of Social Learning in Individual Perception and Decision Making in People with Autism: A Computational Approach.- Investigations of Human Information Processing Systems.- Analysis of Semantic Processes as an Indication for Focal Point Selection by Decomposing Alpha Frequency Band.- Toward the study of the neural-underpinnings of dyslexia during Final-phoneme Elision: A machine learning approach.- Root-Cause Analysis of Activation Cascade Differences in Brain Networks.- Unstructured Categorization with Probabilistic Feedback: Learning Accuracy versus Response Time.- Brain Big Data Analytics, Curation and Management.- Optimizing measures of information encoding in astrocytic calcium signals.- Introducing the Rank-Biased Overlap as Similarity measure for Feature Importance in Explainable Machine Learning: a case study on Parkinson’s disease.- Prediction of neuropsychological scores from functional connectivity matrices using deep autoencoders.- Feature Fusion-Based Capsule Network for Cross-Subject Mental Workload Classification.- Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features.- Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction.- Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy based on Arousal State Detection from Multimodal Data.- Convex Hull in Brain Tumor Segmentation.- Informatics Paradigms for Brain and Mental Health Research.- Computer Added Diagnosis Framework for ADHD Detection using Quantitative EEG.- A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh.- Epilepsy Detection from EEG Data using a Hybrid CNN-LSTM Model.- Classifying Brain Tumor from MRI Images Using Parallel CNN Model.- Triplet-loss based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease.- Understanding syntax structure of language after a head injury.- A Belief Rule Based Expert System To Diagnose Alzheimer’s disease Using Whole Blood Gene Expression Data.- Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification.- Brain-Machine Intelligence and Brain-Inspired Computing.- Biologically Inspired Neural Path Finding.- A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning.- EEG signal classification using Shallow FBCSP ConvNet with a new cropping strategy.- Becoming Attuned To Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioural Adaptivity.

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Book SynopsisThis book constitutes the refereed proceedings of the ​First Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2022, and the First Workshop on Medical Image Assisted Biomarker Discovery, MIABID 2022, both held in conjunction with MICCAI 2022, Singapore, during September 18 and 22, 2022.For MIABID 2022, 7 papers from 10 submissions were accepted for publication. This workshop created a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society.For AIIIMA 2022, 10 papers from 15 submissions were accepted for publication. The first workshop on AIIIMA aimed to create a forum to discuss this specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research that has the potential to hugely impact our society, among the research community.

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Book SynopsisThis book constitutes the proceedings of the 15th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2022, which took place in London, UK, during November 23-25, 2022. PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is Enterprise Modeling and Model-based Development and Engineering. The 15 full papers presented in this volume were carefully reviewed and selected from a total of 45 submissions. They were organized in topical sections as follows: models in information system development; modeling enterprise architectures; modeling capabilities and ecosystems; DSML and meta-modeling; and participatory modeling.Table of ContentsModels in Information System Development.- Investigating the effectiveness of model-based testing on testing skill acquisition.- Generating Low-Code Applications from Enterprise Ontology.- Supporting the Individuation, Analysis and Gamification of Software Components for Acceptance Requirements Fulfilment.- Modeling Enterprise Architectures.- Historization of Enterprise Architecture Models Via Enterprise Architecture Knowledge Graphs.- Towards Ontology-based Validation of Enterprise Architecture Principles.- Ontological Analysis and Redesign of Security Modeling in ArchiMate.- Modeling Capabilities and Ecosystems.- Foundations of capability maps – a conceptual comparison.- Applying and Evaluating the KYKLOS Method.- Using Tangible Modeling to Create an e3value Conceptual Model for Digital Ecosystems.- DSML and Meta-Modeling.- Dynamic Models - the MetaMorph Formalism and Model-Operations.- Establishing Interoperability between the EMF and the MSDKVS Metamodeling Platforms.- Beyond Business Development: Regulatory Assessment of Electricity Sector Projects with Contextual Requirements Engineering.- Participatory Modeling.- A Methodology for DSML-assisted Participatory Agent-Based Enterprise Modelling.- Advantages and Limitations of Experiments for Researching Participatory Enterprise Modeling and Recommendations For Their Implementation.- Designing an Ontology for Human Rights Violations Documentation through Practitioner Input and Information Infrastructure Theory.

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Book SynopsisThis book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2022, held in Berlin, Germany, during September 26–28, 2022. This is the 6th conference of a new series, joining the efforts of two existing conference series, namely “RuleML” (International Web Rule Symposium) and “RR” (Web Reasoning and Rule Systems). The 18 full research papers presented in this book were carefully reviewed and selected from 54 submissions. The papers cover the following topics: answer set programming; foundations of nonmonotonic reasoning; datalog; queries over ontologies; proofs, error-tolerance, and rules; as well as agents and argumentation.Table of ContentsAnswer Set Programming.- Foundations of Nonmonotonic Reasoning.- Datalog.- Queries Over Ontologies.- Proofs, Error-tolerance, and Rules.- Agents and Argumentation.

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Book SynopsisThis volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops:Workshop on Data Science for Social Good (SoGood 2022)Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022)Workshop on Uplift Modeling (UMOD 2022)Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022)Workshop on Mining Data for Financial Application (MIDAS 2022)Workshop on Machine Learning for Cybersecurity (MLCS 2022)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022)Workshop on Data Analysis in Life Science (DALS 2022)Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)Table of ContentsWorkshop on Mining Data for Financial Application (MIDAS 2022).- Preface from the workshop organisers.- Multi-Task Learning for Features Extraction in Financial Annual Reports.- What to do with your sentiments in finance.- On the development of a European tracker of societal issues and economic activities using alternative data.- Privacy-preserving machine learning in life insurance risk prediction.- Financial Distress Model Prediction using Machine Learning: A Case Study on Indonesia’s Consumers Cyclical Companies.- Improve default prediction in highly unbalanced context.- Towards Explainable Occupational Fraud Detection.- Towards Data-Driven Volatility Modeling with Variational Autoencoders.- Auto-Clustering of Financial Reports Based on Formatting Style and Author’s Fingerprint.- InFi-BERT 1.0: Transformer-based language model for Indian Financial Volatility Prediction.- Workshop on Machine Learning for Cybersecurity (MLCS 2022).- Preface from the workshop organisers.- Intrusion Detection using Ensemble Models.- Domain Adaptation with Maximum Margin Criterion with application to network traffic classification.- Evaluation of Detection Limit in Network Dataset Quality Assessment with Permutation Testing.- Towards a General Model for Intrusion Detection: An Exploratory Study.- Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022).- Preface from the workshop organisers.- Conv-NILM-Net, a causal and multi-appliance model for energy source separation.- Domestic Hot Water Forecasting for Individual Housing with Deep Learning.- Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022).- Preface from the workshop organisers.- Detecting Drift in Healthcare AI Models based on Data Availability.- Assessing Different Feature Selection Methods applied to a bulk RNA Sequencing Dataset with regard to Biomedical Relevance.- Predicting Drug Treatment for Hospitalized Patients with Heart Failure.- A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients.- Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-Trained Transformer Language Models.- A Light-weight Deep Residual Network for Classification of Abnormal Heart Rhythms on Tiny Devices.- Workshop on Data Analysis in Life Science (DALS 2022).- Preface from the workshop organisers.- I-CONVEX: Fast and Accurate de Novo Transcriptome Recovery from Long Reads.- Italian debate on measles vaccination: how Twitter data highlight communities and polarity.- Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).- Preface from the workshop organisers.- Online Anomaly Explanation: A Case Study on Predictive Maintenance.- Fault forecasting using data-driven system modeling: a case study for Metro do Porto data set.- An online data-driven predictive maintenance approach for railway switches.- curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection.- Incorporating Physics-based Models into Data-Driven Approaches for Air Leak Detection in City Buses.- Towards Geometry-Preserving Domain Adaptation for Fault Identification.- A systematic approach for tracking the evolution of XAI as a field of research.- Frequent Generalized Subgraph Mining via Graph Edit Distances.

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Book SynopsisThis book constitutes the proceedings of the 9th Latin American Conference on High Performance Computing, CARLA 2022, held in Porto Alegre, Brazil, in September 2022. The 16 full papers presented in this volume were carefully reviewed and selected from 56 submissions.CARLA, the Latin American High Performance Computing Conference, is an international academic meeting aimed at providing a forum to foster the growth and strength of the High Performance Computing (HPC) community in Latin America and the Caribbean through the exchange and dissemination of new ideas, techniques, and research in HPC and its application areas.Table of ContentsA Comparative Evaluation of Parallel Programming Python Tools for Particle-in-cell on Symmetric Multiprocessors.- Accelerating GNN Training on CPU+Multi-FPGA Heterogeneous Platform.- Implementing a GPU-Portable Field Line Tracing Application with OpenMP Offload.- Quantitative Characterization of Scientific Computing Clusters.- Towards parameter-based profiling for MARE2DEM performance modeling.- Time-Power-Energy Balance of BLAS kernels in modern FPGAs.- Improving Boundary Layer Predictions Using Parametric Physics-Aware Neural Networks.- Towards Fire Identification Model in Satellite Images Using HPC Embedded Systems and AI.- A Machine Learning-based Missing Data Imputation with FHIR Interoperability Approach in Sepsis Prediction.- Understanding the Energy Consumption of HPC Scale Artificial Intelligence.- Tracking the COVID-19 Emotional Response in Mexico.- Multi-GPU 3-D Reverse Time Migration with Minimum I/O.- ParslRNA-Seq: an efficient and scalable RNAseq analysis workflow for studies of differentiated gene expression.- Refactoring an electric-market simulation software for massively parallel computations.- Nearly Quantum Computing by Simulation.- Functionality testing in the automation of scientific application workflows in an HPC environment.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the EAI International Conference on Internet of Everything, IoECon 2022, which took place in Guimarães, Portugal in September 16-17 2022. IoECon 2022 presents IoE paradigms to their whole dimension, intelligently connecting devices, people, processes, data, and things. IoE is multi-disciplinary and offers an opportunity to explore the co-relations between different areas, techniques, and theories about a new cyber world.The 10 revised full papers were carefully reviewed and selected from 26 submissions. The papers focus on a complete ecosystem that digitally interconnects everything, including people-to-people, people-to-machines, and machines-to-machines.Table of Contents​People-to-People.- Perspectives on the Internet of Everything.- Guidelines to Develop Consumers Cyber Resilience Capabilities in The IoE Ecosystem.- A competency definition based on the knowledge, skills, and human dispositions constructs.- The influence of the image and photography of E-Commerce products on the purchase decision of online consumers.- People-to-Machine and Machine-to-People.- The Man-Machine Relationship on the Web: Motivation to Use the Internet.- Cybersecurity Challenges in Healthcare Medical Devices.- A WSN real-time monitoring system approach for measuring Indoor Air Quality using the Internet of Things.- Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service?.- Machine-to-Machine.- Transient Session Key Derivation Protocol for Key Escrow Prevention in Public Key Infrastructure.- Evaluating CoAP, OSCORE, DTLS and HTTPS for Secure Device Communication.

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Book SynopsisThis book constitutes revised selected papers from the international workshops, the EDOC Forum and the Demonstration and Doctoral Consortium track, that were held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022. The conference took place in Bozen-Bolzano, Italy, during October 3–7, 2022.The conference focuses on the area of enterprise computing, this year with the special emphasis on the theme of designing and operating “Flexible Enterprises”. Workshops within EDOC cover more focused topics and allow for the presentation and discussion of work that is in the earlier development stages. The 18 full and 8 short papers included in this volume were carefully reviewed and selected from 82 submissions. They stem from the following satellite events: – Workshop on Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS) – 14th Workshop on Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE) – 17th Workshop on Trends in Enterprise Architecture Research (TEAR) – EDOC Forum – Demonstrations Track – Doctoral Consortium Table of ContentsIDAMS 2022.- Digital Architectures Under Society 5.0: An Enterprise Architecture Perspective.- Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights.- Digital Technologies Supporting Digitalization: A Maturity Model to Manage their Usage Risks.- DTMN a Modelling Notation for Digital Twins.- Adaptive Management of Cyber-Physical Workflows by Means of Case-Based Reasoning and Automated Planning.- An Optimization Ontology for Goal Modelling Frameworks.- SOEA4EE 2022.-Visual Description of Digital IT Consulting Services using DITCOS-DN: Proposal and Evaluation of a Graphical Editor.- Implementing a service-oriented rural smartness platform: lessons learned from a technical action research in West Java, Indonesia.- TEAR 2022.- Areas where Enterprise Architecture Contributes to Organizational Goals - A Quantitative Study in the Netherlands.- Achieving Alignment by Means of EA Artifacts.- Contextuality and Temporality of Enterprise Architecture Problems: A Comparative Case Study.- Zooming in on Competences in Ontology-Based Enterprise Architecture Modeling.- A Knowledge-Graph Based Integrated Digital EA Maturity and Performance Framework.- Workplace Topology Model for Assessment of Static and Dynamic Interactions Among Employees.- EDOC Forum.- Optimized Throttling for OAuth-based Authorization Servers.- A Concept and a Multitenant Web Application for Interactive Software Architecture Analysis.- An ontology for software patterns: application to blockchain-based software development.- Learning-aided Adaptation - A Case Study from Wellness Ecosystem.- Demonstrations Track.- The Deployment Model Abstraction Framework.- Dromi: A Tool for Automatically Reporting the Impacts of Sagas implemented in Microservice Architectures on the Business Processes.- Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit.- Interactive Design of Time-Aware Business Processes.- Prosimos: Discovering and Simulating Business Processes With Differentiated Resources.- Doctoral Consortium.- Data analytics and machine learning for smart decision making in automotive sector.- To model or not to model? Assessing the value of ontology-driven conceptual modeling.- A Proposal for Intent-based Configuration of ICT Components.

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Book SynopsisThis volume on virtual and augmented reality (VR/AR) and gamification for cultural heritage offers an insightful introduction to the theories, development, recent applications and trends of the enabling technologies for mixed reality and gamified interaction in cultural heritage and creative industries in general. It has two main goals: serving as an introductory textbook to train beginning and experienced researchers in the field of interactive digital cultural heritage, and offering a novel platform for researchers in and across the culturally-related disciplines.To this end, it is divided into two sections following a pedagogical model developed by the focus group of the first EU Marie S. Curie Fellowship Initial Training Network on Digital Cultural Heritage (ITN-DCH): Section I describes recent advances in mixed reality enabling technologies, while section II presents the latest findings on interaction with 3D tangible and intangible digital cultural heritage. The sections include selected contributions from some of the most respected scholars, researchers and professionals in the fields of VR/AR, gamification, and digital heritage.This book is intended for all heritage professionals, researchers, lecturers and students who wish to explore the latest mixed reality and gamification technologies in the context of cultural heritage and creative industries. It pursues a pedagogic approach based on trainings, conferences, workshops and summer schools that the ITN-DCH fellows have been following in order to learn how to design next-generation virtual heritage applications, systems and services.Table of ContentsDigital Heritage & Virtual Archaeology: an approach through the framework of international recommendations.- Data Acquisition for the Geometric Documentation of Cultural Heritage.- Autonomous Mapping of the Priscilla Catacombs.- Acceleration of 3D mass digitization processes: recent advances and challenges.- Intangible Cultural Heritage and New Technologies: Challenges and Opportunities for Cultural Preservation and Development.- 3D Digital Libraries in Cultural Heritage and their contribution in the documentation of the past.- Enriching and Publishing Cultural Heritage as Linked Open Data.- Digital memory and integrated data capturing: innovations for an inclusive Cultural Heritage in Europe through 3D semantic modelling.- 5D Model of the Holy Aedicule of the Church of the Holy Sepulchre through an innovative and interdisciplinary approach.- Historic BIM for mobile VR/AR applications.- Data collection for estimation of resilience of cultural heritage assets.- Virtual Reconstruction of Historical Architecture as Media for Knowledge.- Gamified AR/VR character rendering and animation enabling technologies.- Experiencing the multisensory past.- Multimodal Serious Games Technologies for Cultural Heritage.- Modelling life through time: cultural heritage case studies.- Preservation and gamification of traditional sports.- Deployment of robotic guides in museum contexts.- Digital cultural heritage experience in Ambient Intelligence.- Storytelling and Digital Epigraphy-based narratives in Linked Open Data.- Additive Manufacturing (AM) based evaluation, reconstruction and improvement of cultural heritage artifacts and human structures.- The Willing Suspension of Disbelief: The Tangible and the Intangible of Heritage Education in E-learning and Virtual Museums.- 4D Modeling of Static and Moving Objects: Digitizing Tangible and Intangible Cultural Heritage.

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Book SynopsisThe target of SQL tuning is the improvement of the existing execution plan. The authors discuss the removal of brakes in the execution plan. Such "brakes" or bottlenecks can be recognized by a formal analysis of the execution plan. For this purpose no data model knowledge is needed. This is especially beneficial for database administrators because they are usually not or insufficiently familiar with the data model. The book presents numerous practical examples with this method.Table of ContentsPrefaces.- Introduction.- Some thoughts concerning the term "SQL Tuning".- Minimum minimorum to the subject "Execution Plan".- Approaches to formal SQL Tuning.- Bottlenecks in Execution Plans.- Procedure for formal SQL Tuning.- Practical experiences with formal SQL Tuning.- Appendix.- Application of the formal method for analysis of performance issues following Oracle migration.

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Book SynopsisFor millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds of symbols convey information without reference to language. This book presents the first systematic study of graphical symbol systems, including a history of graphical symbols from the Paleolithic onwards, a taxonomy of non-linguistic systems – systems that are not tied to spoken language – and a survey of more than 25 such systems. One important feature of many non-linguistic systems is that, as in written language, symbols may be combined into complex “messages” if the information the system represents is itself complex. To illustrate, the author presents an in-depth comparison of two systems that had very similar functions, but very different structure: European heraldry and Japanese kamon. Writing first appeared in Mesopotamia about 5,000 years ago and is believed to have evolved from a previous non-linguistic accounting system. The exact mechanism is unknown, but crucial was the discovery that symbols can represent the sounds of words, not just the meanings. The book presents a novel neurologically-inspired hypothesis that writing evolved in an institutional context in which symbols were “dictated”, thus driving an association between symbol and sound, and provides a computational simulation to support this hypothesis. The author further discusses some common fallacies about writing and non-linguistic systems, and how these relate to widely cited claims about statistical “evidence” for one or another system being writing. The book ends with some thoughts about the future of graphical symbol systems. The intended audience includes students, researchers, lecturers, professionals and scientists from fields like Natural Language Processing, Machine Learning, Archaeology and Semiotics, as well as general readers interested in language and/or writing systems and symbol systems.Trade Review“The book is the first systematic study of graphical symbol systems, ranging from the imagery found in Paleolithic cave paintings, through ancient and contemporary writing systems employing both phonetic and logographic symbols, to modern language-independent symbols such as meteorological icons and emoji.” (Andrew Robinson, Science, science.org, Vol. 382 (6669), October 27, 2023)Table of ContentsPreface1 Introduction 1.1 What’s in a Symbol? 1.2 Syntax 1.3 What this book is about 2 Semiotics 2.1 Introduction 2.2 The Field of Semiotics 2.3 Iconicity 2.4 Syntax 2.5 Articulation 3 Taxonomy 3.1 Introduction 3.2 History 3.3 Preliminary Taxonomy 3.4 Examples of systems 3.5 Kamon/Heraldry 3.5.1 Kamon 3.5.2 British heraldry 3.5.3 Structural Differences: Summary 3.A Symbol system survey (A detailed analysis of 26 symbol systems) 3.B Statistics of kamon 4 Writing Systems 4.1 Introduction 4.2 Writing 4.2.1 Preliminaries 4.2.2 Types of Writing Systems 4.2.3 Blissymbolics 4.3 Limitations of writing 4.3.1 Inclusiveness 4.3.2 Graphocentrism 4.3.3 Summary 4.4 Writing: A summary 5 Symbols in the Brain 5.1 Brain areas 5.2 Meaning in the brain 5.3 Reading in the brain 5.3.1 The letterbox 5.3.2 Summary: the evolution of the letterbox 5.4 Non-linguistic symbols in the brain 5.5 A Hypothesis 6 The Evolution of Writing 6.1 Evolution 6.2 A Hypothesis 6.3 Schools 7 Simulations 7.1 Prior work 7.2 Simulation 7.2.1 Description of the model 7.2.2 Simulation of evolution 7.2.3 Summary and discussion 7.3 Pre-writing 7.4 Summary 7.A Details 7.A.1 Data Generation 7.A.2 Model 7.B Compounds 7.B.1 Monosyllabic cases 7.B.2 Sesquisyllabic cases 7.B.3 Disyllabic cases 8 Misrepresentations 8.1 Introduction 8.2 What does it mean to say something "Looks like writing"? 8.3 Statistics 8.3.1 Statistical analysis of the Indus Valley inscriptions 8.3.2 More on structure in the Indus inscriptions 8.3.3 Variations of distributions of symbols 8.4 Summary 9 The Future 9.1 The Dream of a Universal Written Language 9.2 Semasiography 9.3 The Prestige of Writing 9.4 Final Thoughts

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Book SynopsisThis textbook covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-disciplinary approach. The presentation is illustrated using the BPMN industry standard defined by the Object Management Group and widely endorsed by practitioners and vendors worldwide.In addition to explaining the relevant conceptual background, the book provides dozens of examples, more than 230 exercises – many with solutions – and numerous suggestions for further reading. This second edition includes extended and completely revised chapters on process identification, process discovery, qualitative process analysis, process redesign, process automation and process monitoring. A new chapter on BPM as an enterprise capability has been added, which expands the scope of the book to encompass topics such as the strategic alignment and governance of BPM initiatives.The textbook is the result of many years of combined teaching experience of the authors, both at the undergraduate and graduate levels as well as in the context of professional training. Students and professionals from both business management and computer science will benefit from the step-by-step style of the textbook and its focus on fundamental concepts and proven methods. Lecturers will appreciate the class-tested format and the additional teaching material available on the accompanying website.Table of Contents1 Introduction to Business Process Management.- 2 Process Identification.- 3 Essential Process Modeling.- 4 Advanced Process Modeling.- 5 Process Discovery.- 6 Qualitative Process Analysis.- 7 Quantitative Process Analysis.- 8 Process Redesign.- 9 Process-Aware Information Systems.- 10 Process Implementation with Executable Models.- 11 Process Monitoring.- 12 BPM as an Enterprise Capability.

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Book SynopsisThis book originates from a multiple year research project on ICT and justice in a number of EU countries. Among the project's major objectives was the development of new methodologies for facilitating ICT-based innovation in the judiciary.Table of ContentsIntroduction; F. Contini and G. Francesco Lanzara PART I: PERSPECTIVES: ICT, INSTITUTIONS AND E-GOVERNMENT Building Digital Institutions: ICT and the Rise of Assemblages in Government; G. Francesco Lanzara How Institutions are Inscribed in Technical Objects and what it may mean in the case of the Internet; B. Czarniawska The Regulative Regime of Technology; J. Kallinikos ICT, Marketization and Bureaucracy in the UK Public Sector: Critique and Reappraisal; A. Cordella and L. Willcocks PART II: EXPERIENCES: ICT, INSTITUTIONAL COMPLEXITY, AND THE DEVELOPMENT OF E-SERVICES E-justice in Finland and in Italy: Enabling Versus Constraining Models; M. Fabri Aligning ICT and Legal Frameworks in Austria's e-bureaucracy: From Mainframe to the Internet; S. Koch and E. Bernroider Institutional Complexity and Functional Simplification: The Case of Money Claim Online Service in England and Wales; J. Kallinikos Assemblage-in-the-making: Developing the e-services for the Justice of the Peace Office in Italy; M. Velicogna and F. Contini ICT, Assemblages and Institutional Contexts: Understanding Multiple Development Paths; F. Contini

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisEarly Cybernetics.- Gregory Bateson.- Norbert Wiener.- Warren McCulloch.- Margaret Mead.- W. Ross Ashby.- General Systems Theory.- Ludwig von Bertalanffy.- Kenneth Boulding.- Geoffrey Vickers.- Howard Odum.- System Dynamics.- Jay Forrester.- Donella Meadows.- Peter Senge.- Soft and Critical Systems.- C. West Churchman.- Russell Ackoff.- Peter Checkland.- Werner Ulrich.- Michael Jackson.- Later Cybernetics.- Heinz von Foerster.- Stafford Beer.- Humberto Maturana.- Niklas Luhmann.- Paul Watzlawick.- Complexity Theory.- Ilya Prigogine.- Stuart Kauffman.- James Lovelock.- Learning Systems.- Kurt Lewin.- Eric Trist.- Chris Argyris.- Donald Schön.- Mary Catherine Bateson. Afterword.- IndexTable of ContentsEarly Cybernetics.- Gregory Bateson.- Norbert Wiener.- Warren McCulloch.- Margaret Mead.- W. Ross Ashby.- General Systems Theory.- Ludwig von Bertalanffy.- Kenneth Boulding.- Geoffrey Vickers.- Howard Odum.- System Dynamics.- Jay Forrester.- Donella Meadows.- Peter Senge.- Soft and Critical Systems.- C. West Churchman.- Russell Ackoff.- Peter Checkland.- Werner Ulrich.- Michael Jackson.- Later Cybernetics.- Heinz von Foerster.- Stafford Beer.- Humberto Maturana.- Niklas Luhmann.- Paul Watzlawick.- Complexity Theory.- Ilya Prigogine.- Stuart Kauffman.- James Lovelock.- Learning Systems.- Kurt Lewin.- Eric Trist.- Chris Argyris.- Donald Schön.- Mary Catherine Bateson. Afterword.- Index

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Book SynopsisThe main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of real-world business processes. The end result can often be visualized as a graph, and the book explains how to use Python and Graphviz to render these graphs intuitively. Overall, it enables the reader to implement process mining techniques on his or her own, independently of any specific process mining tool. An introduction to two popular process mining tools, namely Disco and ProM, is also provided. In this second edition the code snippets have been updated to Python 3, and some smaller errors have been corrected.The book will be especially valuable for self-study or as a precursor to a more advanced text. Practitioners and students will be able to follow along on their own, even if they have no prior knowledge of the topic. After reading this book, they will be able to more confidently proceed to the research literature if needed.Table of ContentsEvent Logs.- Control-Flow Perspective.- Organizational Perspective.- Performance Perspective.- Process Mining in Practice.

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Book SynopsisDespite the ever-increasing interest in eye tracking, there is still no comprehensive work on the potential and applications of table-mounted and mobile head-mounted eye tracking solutions in travel and tourism. This volume bridges that gap, effectively linking eye tracking with travel and tourism. It presents, on the one hand, novel academic contributions on the concept of eye tracking, and on the other, practice-oriented case studies that illustrate the use and strategic value of eye tracking in travel and tourism. It provides concrete and novel insights into tourist behavior and the tourist consumer experience and, for the academic community, offers a comprehensive, scientifically based overview of the empirical, methodological, theoretical, and practical contributions of eye tracking research. Accordingly, the book will be of value to a diverse audience. It will be a useful resource for existing and future tourism businesses, allowing them to adopt proactive approaches in the design of tourism products. It will also stimulate further research in the field and inspire scholars and practitioners to combine their ideas and expertise, to look beyond supposedly fixed horizons, and to identify emerging opportunities. Trade Review“The chapters in this book provide a thorough and systematic review of the literature and reveal the detail of the experiment process, data analysis, and interpretation, which aid beginners when they first carry out eye-tracking experiments in their tourism studies. … In general, the content presentation of the book offers rich information about using a multisource approach and data triangulation with eye-tracking technology to analyzing online/offline tourist behavior while reducing the potential biases that can appear in traditional methods.” (Sunny Zhenzhen Nong and Lawrence Hoc Nang Fong, Information Technology & Tourism, Vol. 23, 2021)Table of ContentsChapter 1: Introduction to Eye Tracking in Tourism. Part I: Eye tracking methods, concepts and applications. Chapter 2: A review of eye-tracking methods in tourism research. Chapter 3: Best practice for eye-tracking studies: DOs and DON’Ts. Chapter 4: Eye-tracking: Evaluation, potential, and limitations of field applications. Chapter 5: Knowledge Co-Creation through Eye Tracking in Tourism. Part II: Eye tracking research and case studies. Chapter 6: The Relevance of Eye-Tracking to Understand Users’ Practices and Content Interpretation in Tourism-related Online Navigation. Chapter 7: Areas of Interest on Destination Websites: A Generation Y’s Perspective. Chapter 8: Measurement of visual attention to advertising using eye-tracking techniques. Chapter 9: User Experience Improvement for Online Travel Agencies through Eye-tracking – the Onlineweg.de Case Study. Chapter 10: Areas of interest for a CSR certificate on touristic websites: An eye tracking experiment using the example of TourCert. Chapter 11: Acquiring sustainability information in holiday travel. Chapter 12: The museum learning experience through the visitors’ eyes: An eye tracking exploration of the physical context. Chapter 13: Using Mobile Eye-Tracking to Inform the Development of nature tourism Destinations in Iceland. Chapter 14: Viewing behaviour and task performance on Austrian destination websites: Comparing Generation Y and the Baby Boomers.

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Book SynopsisThis open access book describes methods for research on and research through design. It posits that ethnography is an appropriate method for design research because it constantly orients itself, like design projects, towards social realities. In research processes, designers acquire project-specific knowledge, which happens mostly intuitively in practice. When this knowledge becomes the subject of reflection and explication, it strengthens the discipline of design and makes it more open to interdisciplinary dialogue. Through the use of the ethnographic method in design, this book shows how design researchers can question the certainties of the everyday world, deconstruct reality into singular aesthetic and semantic phenomena, and reconfigure them into new contexts of signification. It shows that design ethnography is a process in which the epistemic and creative elements flow into one another in iterative loops. The goal of design ethnography is not to colonize the discipline of design with a positivist and objectivist scientific ethos, but rather to reinforce and reflect upon the explorative and searching methods that are inherent to it. This innovative book is of interest to design researchers and professionals, including graphic artists, ethnographers, visual anthropologists and others involved with creative arts/media. Table of ContentsChapter 1. Introduction.- Chapter 2. The Blind Spot.- Chapter 3. The Everyday World and Intersubjectivity.- Chapter 4. Design Research: Immersion and Intervention.- Chapter 5. Methods and Aspects of Field Research.- Chapter 6. Analysis.- Chapter 7. Representation and reporting.- Chapter 8. Epilogue.

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Book SynopsisThis book features the latest research in the area of immersive technologies, presented at the 6th International Augmented Reality and Virtual Reality Conference, held in online in 2020. Bridging the gap between academia and industry, it presents the state of the art in augmented reality (AR) and virtual reality (VR) technologies and their applications in various industries such as marketing, education, health care, tourism, events, fashion, entertainment, retail and the gaming industry.The book is a collection of research papers by prominent AR and VR scholars from around the globe. Covering the most significant topics in the field of augmented and virtual reality and providing the latest findings, it is of interest to academics and practitioners alike.Table of ContentsHow To Design Effective AR Retail Apps.- The Role of Mental Imagery as Driver to Purchase Intentions in a Virtual Supermarket.- User responses towards Augmented Reality face filters: Implications for social media and brands.- Can You Make the Cut? Exploring the Effect of Frequency of Cuts in Virtual Reality Storytelling.- Incorporation of augmented-reality technology into smartphone app for large-scale performance art.- Testing Mixed Reality Experiences and Visitor’s Behaviours in a Heritage Museum.- Interactive Mixed Reality Technology for Boosting the Level of Museum Engagement.- Too real for comfort: Measuring Consumers’ Augmented Reality Information Privacy Concerns.- The Proteus Effect: How Avatars Influence Their Users’ Self-Perception and Behaviour.- Modifying the Technology Acceptance Model To Investigate Behavioural Intention To Use Augmented.- Using Virtual Reality as a form of Simulation in the context of Legal Education

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Book SynopsisThe 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.Table of ContentsRepresentation Learning and Embedding.- Episode Adaptive Embedding Networks for Few-shot Learning.- Universal Representation for Code.- Self-supervised Adaptive Aggregator Learning on Graph.- A Fast Algorithm for Simultaneous Sparse Approximation.- STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning.- RW-GCN: Training Graph Convolution Networks with biased random walk for Semi-Supervised Classification.- Loss-aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models.- SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network.- VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning.- Self-supervised Graph Representation Learning with Variational Inference.- Manifold Approximation and Projection by Maximizing Graph Information.- Learning Attention-based Translational Knowledge Graph Embedding via Nonlinear Dynamic Mapping.- Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction.- Human-Understandable Decision Making for Visual Recognition.- LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding.- Transferring Domain Knowledge with an Adviser in Continuous Tasks.- Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach.- Quality Control for Hierarchical Classification with Incomplete Annotations.- Learning from Data.- Learning Discriminative Features using Multi-label Dual Space.- AutoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering.- BanditRank: Learning to Rank Using Contextual Bandits.- A compressed and accelerated SegNet for plant leaf disease segmentation: A Differential Evolution based approach.- Meta-Context Transformers for Domain-Specific Response Generation.- A Multi-task Kernel Learning Algorithm for Survival Analysis.- Meta-data Augmentation based Search Strategy through Generative Adversarial Network for AutoML Model Selection.- Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction.- Rule Injection-based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning.- Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition.- Reinforced Natural Language Inference for Distantly Supervised Relation Classification.- SaGCN: Structure-aware Graph Convolution Network for Document-level Relation Extraction.- Addressing the class imbalance problem in medical image segmentation via accelerated Tversky loss function.- Incorporating Relational Knowledge in Explainable Fake News Detection.- Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction.

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Book SynopsisThis open access State-of-the-Art Survey describes and documents the developments and results of the Once-Only Principle Project (TOOP). The Once-Only Principle (OOP) is part of the seven underlying principles of the eGovernment Action Plan 2016-2020. It aims to make the government more effective and to reduce administrative burdens by asking citizens and companies to provide certain standard information to the public authorities only once.The project was horizontal and policy-driven with the aim of showing that the implementation of OOP in a cross-border and cross-sector setting is feasible. The book summarizes the results of the project from policy, organizational, architectural, and technical points of view. Table of ContentsThe Once-Only Principle: A Matter of Trust.- Implementation of the 'once-only' principle in Europe – national approaches.- Drivers for and Barriers to the Cross-Border Implementation of the Once-Only Principle - Once-Only Principle Good Practices in Europe.- The Single Digital Gateway Regulation as an Enabler and Constraint of Once-Only in Europe.- Legal Basis and Regulatory Applications of the Once-Only Principle: the Italian Case.- TOOP Trust Architecture.- The Technical challenges in OOP application across the European Union and the TOOP OOP architecture.- Testing methodology for the TOOP pilots.- TOOP pilot experiences: challenges and achievements in implementing once-only in different domains and Member States.- Measuring the Impact of the Once Only Principle for Businesses Across Borders.- The Future of the Once-Only Principle in Europe.

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Book SynopsisChapters "Investigating the Role of Educational Robotics in Formal Mathematics Education: The Case of Geometry for 15-Year-Old Students" and "From Paper to Online: Digitizing Card Based Co-creation of Games for Privacy Education" are available open access under a Creative Commons Attribution 4.0 International License via springer.com.Table of ContentsThe Impact of Explicating Learning Goals on Teaching and Learning in Higher Education: Evaluating a Learning Goal Visualization.- Catching group criteria semantic information when forming collaborative learning groups.- The role of social practices of knowledge appropriation for sustaining TEL innovations in the classroom.- Visual Aids for Teaching Piano to Students with Autism: Designing a Web App through Practice.- Interactive and explainable advising dashboard opens the black box of student success prediction.- Investigating the role of educational robotics in formal mathematics education: a case study of geometry for 15-year-old students.- Peer Assessment Interactions and Their Temporal Dynamics Using a Graphlet-Based Method.- VLE Limits and Perspectives for Digital Integration in Teaching Practices Lessons Learned from the French Basic Education Teachers’ Experience during the COVID-19 Pandemic.- First-year university students in distance learning: motivations and early experiences.- The dire cost of early disengagement: A four-year learning analytics study over a full program.- Analysis of the ”D’oh!” moments. Physiological markers of performance in cognitive switching tasks.- Examining the Effect of Self-Explanations in Distributed Self-Assessment.- 148 Cheng-Yu Chung and I-Han Hsiao Examining the relationship between reflective writing behaviour and self-regulated learning competence: A time-series analysis.- From Paper to Online: Digitizing Card Based Co-Creation of Games for Privacy Education.- An in-depth methodology to predict at-risk learners.- A Framework to Guide Educational Technology Studies in the Evolving Classroom Research Environment.- Using Prompts and Remediation to Improve Primary School Students Self-Evaluation and Self-Efficacy in a Literacy Web Application.- Student Creativity to Design Fake News Literacy Training: An Overview of Twelve Graduate Student Projects.- Recommendations for Orchestration of Formative Assessment Sequences: a Data-driven Approach.- Surveying Teachers’ Preferences and Boundaries regarding Human-AI Control in Dynamic Pairing of Students for Collaborative Learning.- What Do Learning Designs Show about Pedagogical Adoption? An Analysis Approach and a Case Study on Inquiry-Based Learning.- On the Linguistic and Pedagogical Quality of Automatic Question Generation via Neural Machine Translation.- Developing a prototype of an Open Educational Resource on research methods for PhD candidates in Technology-Enhanced Learning.- Comparing usage in and between primary and secondary schools for a blended TEL portal.- Investigating the Associations between Emotion, Cognitive Load and Personal Learning Goals: The Case for MOOCs.- I need more motivation: Engaging Students in the Gamification Design Process.- Augmented Reality as Educational Tool: Perceptions, Challenges, and Requirements from Teachers.- Towards a self-assessment tool for teachers to improve LMS mastery based on Teaching Analytics.- Uncovering Latent Profiles Based on How Students Review Paper-based Assessments.- Orchestrating an ubiquitous learning situation about Cultural Heritage with Casual Learn.- Bibliometric Analysis of the Last Ten Years of the European Conference on Technology-enhanced Learning.

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Book SynopsisThis book contains a selection of the best papers of the 33rd Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2021, held in Esch-sur-Alzette, Luxembourg, in November 2021. The 14 papers presented in this volume were carefully reviewed and selected from 46 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.

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Book SynopsisThis textbook provides a comprehensive, holistic, scientifically precise, and practically relevant description of Enterprise Architecture Management (EAM). Based on state-of-the-art concepts, it also addresses current trends like disruptive digitization or agile methods. The book is structured in five chapters. The first chapter offers a comprehensive overview of EAM. It addresses questions like: what does EAM mean, what is the history of EAM, why do enterprises need EAM, what are its goals, and how is it related to digitalization? It also includes a short overview of essential EAM standards and literature. The second chapter provides an overview of Enterprise Architecture (EA). It starts with clarifying basic terminology and the difference between EA and EAM. It also gives a short summary of existing EA frameworks and methods for structuring the digital ecosystem into layers and views. The third chapter addresses the strategic and tactical context of the EAM capability in an enterprise. It defines essential terms and parameters in the context of enterprise strategy and tactics as well as the operative, organizational context of EAM. The fourth chapter specifies the detailed goals, processes, functions, artifacts, roles and tools of EAM, building the basis for an EAM process framework that provides a comprehensive overview of EAM processes and functions. Closing the circle, the last chapter describes how to evaluate EAM in an enterprise. It starts by laying out core terminology, like “metric” and “strategic performance measurement system” and ends with a framework that integrates the various measuring areas in the context of EA and EAM. This textbook focuses on two groups: First, EAM scholars, ie bachelor or master students of Business Information Systems, Business Administration or Computer Science. And second, EAM practitioners working in the field of IT strategy or EA who need a reliable, scientifically solid, and practically proven state-of-the-art description of essential EAM methods.Table of Contents1. EAM in a Nutshell.- 2. Enterprise Architecture in a Nutshell.- 3. Strategic and Tactical Context of EAM.- 4. EAM Implementation.- 5. EAM Evaluation.

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Book SynopsisThis textbook is aimed at students of non-specialist courses with computer science components. Special emphasis is placed on the so-called life sciences, such as medical technology, rescue engineering, biotechnology, environmental engineering or process engineering. The textbook is suitable for readers in study and practice who want to get an introduction to computer science. The special feature of this book is the problem-based approach, as well as the exercises designed according to different taxonomy levels.Table of ContentsIntroduction to computer science.- Basics of programming in C++.- Arrays and pointers.- File operations.- Object orientation and inheritance.

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Book SynopsisDieses Buch bietet einen wertvollen Ansatz für eine neue, ganzheitliche Herangehensweise zur erfolgreichen Gestaltung der Digitalisierung. Diese wird häufig mit technologischem Fortschritt gleichgesetzt oder nur aus technologisch-wirtschaftlicher Sicht betrachtet. Aber sie ist viel mehr als das: Die Digitalisierung beeinflusst alle Bereiche unseres Lebens - wie wir arbeiten, wie wir lernen, wie wir miteinander kommunizieren und vieles mehr. Um die digitale Epoche jedoch gestalten zu können, ist der Dialog und die Zusammenarbeit von Menschen aus unterschiedlichen Bereichen erforderlich.Der Autor deckt hierzu eine Vielzahl von Themen ab, bietet Lösungsvorschläge für die Herausforderungen, die mit der Digitalisierung einhergehen, und gewährt eine erweiterte Sicht auf die technologischen, wirtschaftlichen und gesellschaftlichen Aspekte der Digitalisierung. Denn gerade in der interdisziplinären Zusammenarbeit und der Einbeziehung des kulturellen Kontextes liegen Ansatzpunkte für eine erfolgreiche Gestaltung der Digitalisierung. Er fordert entsprechend einen Perspektivenwechsel für eine neue Zusammenarbeit, um eine ganzheitliche Betrachtung der Digitalisierung zu fördern. Dazu geht das Buch den Fragen nach, welche Anforderungen hierfür zu erfüllen sind und welche Auswirkungen dieser neue Ansatz haben wird.Table of ContentsEINLEITUNG Von der Neolithische Revolution zur Digitalen Epoche Fazit: Digitalisierung bedarf eines Interdisziplinären Kraftaktes! TEIL 1: MERKMALE, AUSPRÄGUNGEN UND AUSWIRKUNGEN DER DIGITALISIERUNG GRUNDLAGEN DER DIGITALISIERUNG Logik und Arithmetik im Binärsystem Halbleiter: Grundlage exponentieller Leistungssteigerungen Verteilte Daten - Vernetztes Wissen Ökonomische Effekte Merkmale, Auswirkungen und Anforderungen Fazit: Digitalisierung muss und kann gestaltet werden - auf Basis von Fakten! DIGITALE PLATTFORMEN Netzwerkeffekte Plattform versus Wertkette Soziale Medien Fazit: Plattform-Governance ist der Schlüssel! KÜNSTLICHE INTELLIGENZ Künstliche neuronale Netze Starke und schwache Künstliche Intelligenz Do-it-yourself versus Commercials-off-the-Shelf Daten - Algorithmen - Menschen Fazit: Kollaborative statt Künstlicher Intelligenz! TEIL 2: GESTALTUNG DER DIGITALEN EPOCHE INFORMATIONSTECHNOLOGIE Management von Komplexität Cloud-Architektur DevOps Analytics- und IT-Lebenszyklus Internet of Things und Edge Computing Spannungsfelder Fazit: IT bildet die Strategische Basis für die Beherrschung von Komplexität! UNTERNEHMEN UND WIRTSCHAFT Neue Geschäftsmodelle Agile Transformation Kernkompetenzen Fazit: Evolution von Kernkompetenzen ist der Motor der Digitalisierung! STAAT UND GESELLSCHAFT Soziale Marktwirtschaft 2.0 Öffentliche Güter einer vernetzten Gesellschaft Kunst! Fazit: Vernetzung ist die Erfolgsposition der Digitalen Epoche! RESÜMEE

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Book Synopsis​​E-Commerce Strategy: Text and Cases provides the fundamental literature required for graduate students and practitioners to understand electronic commerce. Unlike similar books, topics such as e-channel adoption, factors affecting e-commerce adoption, and strategy design are reviewed in greater depth.Table of ContentsUnderstanding E-commerce.- Technology of E-commerce.- Web Page Hosting.- Concepts in E-commerce.- Understanding E-commerce Product Design Strategy.- E-commerce and Online Auctions.- E-commerce Strategy.- Channels in E-commerce.- E-commerce Portal Design Strategy.- Future Trend - Social Commerce.- Drivers of Online-selling Diffusion: A Look at Organizational and Environmental Factors Through Time.

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