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Fwd: [ACSOS] International Workshop on Cyber Resilience and Antifragility in Complex, Distributed Systems (CyRA) - Call for Papers
by Gustaf Neumann 02 Apr '20

02 Apr '20

-------- Forwarded Message -------- Subject: [ACSOS] International Workshop on Cyber Resilience and Antifragility in Complex, Distributed Systems (CyRA) - Call for Papers Date: Thu, 2 Apr 2020 05:46:12 +0000 From: Baruwal Chhetri, Mohan (Data61, Docklands GS) <Mohan.Baruwalchhetri(a)data61.csiro.au> To: 'acsos(a)lists.uni-wuerzburg.de' <acsos(a)lists.uni-wuerzburg.de> ******************************************CyRA 2020 – Call for Papers ********************************************** 1st International Workshop on Cyber Resilience and Antifragility in Complex, Distributed Systems (CyRA 2020) 21 August 2020 - Washington DC, USA & online at 1st IEEE International Joint ICAC/SASO Conference on Autonomic Computing & Self-Organizing Systems (ACSOS) https://cyra2020.github.io/ https://2020.acsos.org/ *************************************************************************************************************** COVID Statement: ------------------------- We would like to express our empathy and condolences to those affected by COVID-19. The CyRA organizing committee has been monitoring the situation surrounding COVID-19, and considering the impact this may have on the event. At this point, we would like to announce and confirm that CyRA will follow the arrangements of the main ACSOS Conference as follows: * CyRA will take place, on its original date of 21 August 2020. * There will be an opportunity to present virtually, for anyone who cannot or chooses not to travel. * All accepted papers will be published in the conference proceedings by IEEE, irrespective of whether a physical or virtual presentation is given. * A decision about whether the conference will be entirely virtual or hybrid will be made in early June at the latest. This is to ensure that people have ample time to make travel arrangements, in the case of physical attendance. Overview: -------------- From inter-connected medical devices, traffic lights and autonomous vehicles, to air-traffic control systems, data centres and large-scale enterprise applications, software systems of varying levels of complexity are increasingly being used to either control or support essential business services and operations. Ongoing advances in various edge-oriented computing paradigms, inclusive of the Internet of Things (IoT), Edge computing, Fog computing and others, have served to significantly increase the complexity and ubiquity of these software systems (indeed, the IoT paradigm can be seen as an evolution of ubiquitous computing from the 1990s), and, as a result of this, to make them more critical. Given their criticality, in addition to being able to resist malicious attacks (security) and handle accidental failures (reliability), the resilience of such systems, namely, their ability to `bounce back’ from both attacks and failures and autonomously maintain operation, is becoming increasingly important. Going beyond resilience, in some situations (e.g. in highly dynamic, unpredictable environments) it is also desirable, and sometimes even essential, for software systems to have the ability to improve their own functionality and `bounce back’ even more resilient than before. This characteristic is termed antifragility. Both resilience and antifragility can be achieved through a variety of means, but one particularly promising approach is to apply techniques from autonomic and/or self-adaptive computing – realizing various self-* properties via adaptation, including the special property of self-improvement via meta-adaptation – in conjunction with AI and other research areas such as distributed computing and software engineering. This workshop aims to disseminate the latest research ideas and results that are based on, or arrived at by using, autonomic and/or self-adaptive computing (but also self-aware computing, CAS, and related variants), as these ideas and results pertain to cyber resilience and antifragility in complex, distributed systems; and to stimulate discussion on a range of topics within this overarching theme. Topics include, but are not limited to the following, as they apply to resilience and/or antifragility in complex, distributed systems via self-adaptive/autonomic/etc. computing: - decentralized decision-making and decision coordination - multi-agent systems/distributed AI - decentralized learning and meta-learning for self-improvement - decentralized architectures, including the use of micro-service architectures architectural patterns - self-organisation and self-assembly techniques, including self-organization/self-assembly of the adaptation logic - realizing self-* properties in a cross-cutting fashion - model-driven approaches and domain-specific languages - formal adaptation and meta-adaptation guarantees, in conjunction with learning Paper Submission: ------------------------- We invite original research papers that have not been previously published and are not currently under review for publication elsewhere. All papers will be peer reviewed by at least 3 international experts in the field. Acceptance/rejection will be based on relevance to the workshop topics, technical quality, originality and presentation (coherent structure, readable figures, etc.). Novel ideas, papers showing promising early results (prior to comprehensive validation), or papers which are more controversial and could trigger discussions, are especially welcome. For such submissions, criteria pertaining to originality and sound argumentation will be given greater weight during the review process. All accepted papers will be published in the ACSOS proceedings and submitted for inclusion to IEEE Xplore. Papers must thus be in the same format as the conference proceedings and must not be more than 6 pages in length. Submission site: https://easychair.org/conferences/?conf=cyra2020 <https://easychair.org/conferences/?conf=cyra2020> Important Dates: ----------------------- - Paper Submission Deadline: June 15, 2020 - Notification of Acceptance: July 1, 2020 - Camera Ready Submission: July 8, 2020 Organizing Committee: ------------------------------- - Dr. Surya Nepal, CSIRO Data61 & Cyber Security CRC, Australia - Dr. Anton V. Uzunov, DST Group, Australia - Dr. Mohan Baruwal Chhetri, CSIRO Data61, Australia Program Committee: ---------------------------- - Barry Porter, Lancaster University - Christian Krupitzer, University of Würzburg - Claudia Szabo, University of Adelaide - Danny Weyns, Katholieke Universiteit Leuven - David Garlan, Carnegie Mellon University - Kjell Jørgen Hole, Simula Research Laboratory - Mohamed Abdelrazek, Deakin University - Partha Pal, BBN Technologies - Ryszard Kowalczyk, Swinburne University of Technology - Thomas Vogel, Humboldt University of Berlin

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Fwd: [computational.science] [Changes to deadline] Graphical Models for Security (GraMSec 2020) - CFP
by Gustaf Neumann 02 Apr '20

02 Apr '20

-------- Forwarded Message -------- Subject: [computational.science] [Changes to deadline] Graphical Models for Security (GraMSec 2020) - CFP Date: Wed, 1 Apr 2020 20:54:39 +0200 From: Barbara Fila (Kordy) <barbara.kordy(a)irisa.fr> To: computational.science(a)lists.iccsa.org GraMSec 2020: The Seventh International Workshop on Graphical Models for Security http://gramsec.uni.lu June 22, 2020 *Online event* Co-located with CSF 2020 *LNCS post-proceedings confirmed* SCOPE The use of graphical security models to represent and analyse the security of systems has gained an increasing research attention over the last two decades. Formal methods and computer security researchers, as well as security professionals from the industry and government, have proposed various graphical security models, metrics, and measurements. Graphical models are used to capture different security facets and address a range of challenges including security assessment, automated defence, secure services composition, security policy validation, and verification. The International Workshop on Graphical Models for Security is an established scientific event dedicated to study and exchange of experiences on graphical security and safety modelling. TOPICS This year, we encourage excellent submissions related, but not restricted, to the following broad headings: 1. Graph representations: mathematical, conceptual, and implemented tools for describing and reasoning about security and safety 2. Logical approaches: formal logical tools for representing and reasoning about graphs and their use as modelling tools in security 3. Machine learning: modelling and reasoning about the role of big data and machine learning in security operations 4. Networks in national security: terrorist networks, counter-terrorism networks; safety in national infrastructure (e.g., utilities and transportation) 5. Risk analysis and management: models and graphical methodologies for security and privacy risk management in business and organisational architectures 6. Social networks: using and reasoning about social graphs, network analysis, network protocols, social mapping, sociometry. 7. Semantics: developing or studying semantic approaches to graph-based models used in security like set theoretic models, categorical models, logical models, etc. 8. Threat modelling: modelling and analysing software systems security, models for DevSecOps, etc. 9. Security requirements: models and tools for describing and analysing requirements on system security and privacy. 10. Visual security: modelling and analytics for security visualisations. 11. Secure systems: safe and secure system design, quantification of security/safety, models for system security/safety evaluation. We welcome a broad range of contributions: from theory to tools and experience reports. Preference will be given to papers likely to stimulate high-quality debate at the Workshop. SUBMISSION GUIDELINES We solicit two types of submissions: - Regular papers (up to 18 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work within the scope of the workshop. - Short papers (up to 10 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work in progress. The reviewers are not required to read the appendices, so the papers should be intelligible without them. All submissions must be prepared using the LNCS style. Each paper will undergo a thorough review process. Submissions should be made using the GraMSec 2020 EasyChair website: https://easychair.org/conferences/?conf=gramsec2020. PUBLICATION As in previous editions, we the post-proceedings will be published in the Lecture Notes in Computer Science (LNCS) series, published by Springer. Proceedings will be published after the workshop, thus permitting the authors to incorporate feedback. VENUE Due to the current coronavirus outbreak, the IEEE CSF Symposium and its associated workshops, including GraMSec, will be held online this year. Details about registration and participation will be soon made available. IMPORTANT DATES Given the situation and the fact that the workshop will be held online, we will keep only one submission deadline. - Paper submissions due: Friday, April 24, 2020 - Notifications: Friday, May 29, 2020 - Workshop: Monday, June 22, 2020 - Camera ready versions due: Friday, August 7, 2020 PROGRAM CHAIRS Harley Eades III, Augusta University, United States of America Olga Gadyatskaya, Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands STEERING COMMITTEE Sushil Jajodia, George Mason University, United States of America Barbara Fila, INSA Rennes, IRISA, France Sjouke Mauw, University of Luxembourg, Luxembourg Christian W. Probst, Unitec, New Zealand Ketil Stølen, SINTEF Digital and University of Oslo, Norway PUBLICITY CHAIR Barbara Fila, INSA Rennes, IRISA, France WEB CHAIR Reynaldo Gil Pons, University of Luxembourg, Luxembourg

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Fwd: [ACSOS] 8th Interntional Workshop on Self-Improving Systems Integration / Call for Papers & Talks
by Gustaf Neumann 01 Apr '20

01 Apr '20

-------- Forwarded Message -------- Subject: [ACSOS] 8th Interntional Workshop on Self-Improving Systems Integration / Call for Papers & Talks Date: Wed, 1 Apr 2020 15:40:56 +0200 From: Prof. Dr.-Ing. Sven Tomforde <st(a)informatik.uni-kiel.de> To: acsos(a)lists.uni-wuerzburg.de ********* SISSY 2020 - Call for Papers & Talks *********7th International Workshop on Self-Improving Systems Integration (SISSY)21 August 2020 – Washington, DC, USA& online At the 1st IEEE International Joint ICAC/SASO Conference on Autonomic Computing & Self-Organizing Systems(ACSOS) https://sissy.telecom-paristech.fr/https://2020.acsos.org/ ******************************************************* COVID statement: We would first like to express our empathy and condolences with those affected by COVID-19 so far, and those who will have a difficult 2020. The SISSY Organising Committee has been monitoring the situation surrounding COVID-19 and considering what impact this may have on events scheduled for later in the year, such as ours. At this point we would like to announce and confirm that: * SISSY will take place, and on its original dates in August (17th or 21st). * Depending on the travel restrictions being in place in August, we'll decide about oportunites to present virtually. * All accepted contributions will become part of the IEEE proceedings of ACSOS, regardless of whether a physical or virtual presentation is given. * Whether the main conference (ACSOS 2020) and its workshops become entirely virtual or hybrid is a decision that we will make when we know more, and by the end of May/begin of June at the latest. This is to ensure people have ample time to make travel arrangements, in the case of physical attendance. ----------------------------------------------------------------------------- Call for Papers Information and communication technology (ICT) pervades every aspect of our daily lives. This inclusion changes our communities and all of our human interactions. It also presents a significant set of challenges in correctly designing and integrating our resulting technical systems. For instance, the embedding of ICT functionality in more and more devices (such as household appliances or thermostats) leads to novel interconnections and a changing structure of the overall system. Not only technical systems are increasingly coupled, a variety of previously isolated natural and human systems have consolidated into a kind of overall system of systems - an interwoven system structure. This change of structure is fundamental and affects the whole production cycle of technical systems standard system integration and testing is not feasible any more. The increasingly complex challenges of developing the right type of modelling, analysis, and infrastructure for designing and maintaining ICT infrastructures has continued to motivate the self-organising, autonomic and organic computing systems community. In this workshop, we intend to study novel approaches to system of system integration and testing by applying self-* principles; specifically we want approaches that allow for a continual process of self-integration among components and systems that is self-improving and evolving over time towards an optimised and stable solution. Although research in self-organising systems such as the Organic Computing (OC) and Autonomic Computing (AC) initiatives has seen an exciting decade of development, in which there has been considerable success in building individual systems, OC/AC is faced with the difficult challenge of integrating multiple self-organising systems, and integrating self-organising systems with traditionally engineered ones as well as naturally occurring human organisations. Meanwhile, although there has been important development in system of systems methodologies (e.g., Service-oriented Architectures, clouds technology etc.), many of these developments lack scalable methods for rapidly proving that new configurations of components/subsystems are correctly used or their changes verified or that these frameworks have pulled together the best possible context-sensitive configuration of resources for a user or another system. The SISSY workshop continues the successful predecessors held at IEEE International Conference on Self-Adaptive and Self-Organising Systems (SASO14) 2014 in London, UK, IEEE/ACM International Conference on Autonomic Computing (ICAC15) 2015 in Grenobles, France, at IEEE/ACM International Conference on Autonomic Computing (ICAC16) 2016 in Würzburg, Germany, at the IEEE International Conference on Self-Adaptive and Self-Organising Systems (SASO17) 2017 in Tucson, AZ, US, at the IEEE Foundations and Applications of Self* Systems Conference (FAS*18) 2018 in Trento, Italy, and at the IEEE Foundations and Applications of Self* Systems Conference (FAS*19) 2018 in Umea, Sweden. The workshop intends to focus on the important work of applying self-X principles to the integration of "Interwoven Systems" (where an "Interwoven System" is a system cutting across several technical domains, combining traditionally engineered systems, systems making use of self-X properties and methods, and human systems). The goal of the workshop is to identify key challenges involved in creating self-integrating systems and consider methods to achieve continuous self-improvement for this integration process. The workshop specifically targets an interdisciplinary community of researchers (i.e. from systems engineering, complex adaptive systems, socio-technical systems, and the OC/AC domains) in the hope that collective expertise from a range of domains can be leveraged to drive forward research in the area. ------------------------------------------------------------------------- Paper Submission Papers must represent original and unpublished work that is not currently under review. Papers will be judged on originality, significance, interest, correctness, clarity, and relevance to the broader community. Authors are strongly encouraged to report on concepts, experiences, measurements, user studies, and provide an appropriate quantitative evaluation if at all possible. We ask for two types of papers: a) 2 to 4 page position papers as a basis for discussion. b) 6 page full papers The proceedings of all ACSOS workshops will be published by IEEE Computer Society Press and made available as a part of the IEEE digital library. In addition, papers will be part of the conference proceedings with ISBN number. Indexing by IEEE explore and DBPL is expected. Submissions should be formatted according to the IEEE Computer Society Press proceedings style guide and submitted electronically in pdf format. Please submit your papers using the conference management system: https://easychair.org/conferences/?conf=sissy2020 ------------------------------------------------------------------------- Important Dates Paper Submission Deadline: May 27th, 2020 Paper Acceptance Notification: June 24th, 2020 Camera-Ready Papers due: July 8th, 2020 Workshop August 21st or 17th, 2020 ------------------------------------------------------------------------- Workshop Organisation Kirstie Bellman Topcy House Consulting, USA bellmanhome(a)yahoo.com Ada Diaconescu Telecom Paris-Tech, France ada.diaconescu(a)telecom-paristech.fr Lukas Esterle Aarhus University, Denmark lukas.esterle(a)eng.au.dk Sven Tomforde Christian-Albrechts-Universität zu Kiel, Germany st(a)informatik.uni-kiel.de ------------------------------------------------------------------------- Programme Committee - Kirstie Bellman, Topcy House, USA - Jean Botev, University of Luxembourg, Luxembourg - Uwe Brinkschulte, University of Frankfurt, Germany - Ada Diaconescu, Telecom Paris, France - Lukas Esterle, Aarhus University, Danmark - Rose Gamble, University of Tulsa, USA - Kurt Geihs, Universität Kassel, Germany - Christian Gruhl, Universität Kassel, Germany - Joerg Haehner, Universität Augsburg, Germany - Heiko Hamann, University of Lübeck, Germany - Wolfgang Karl, Karlsruhe Institute of Technology - Christian Krupitzer, Universität Würzburg, Germany - Chris Landauer, The Aerospace Company, USA - Peter Lewis, Aston University, Birmingham, UK - Gero Mühl, Universität Rostock, Germany - Phyllis Nelson, Cal Poly Pomona, USA - Evangelos Pournaras, Leeds University, UK - Wolfgang Reif, Universität Augsburg, Germany - Stefan Rudolph, Universität Augsburg, Germany - Gregor Schiele, University of Duisburg-Essen, Germany - Jan-Philipp Steghöfer, University of Gothenburg, Sweden - Anthony Stein, Universität Augsburg, Germany - Christopher Steward, Ohio State University, USA - Sven Tomforde, Christian-Albrechts-Universität zu Kiel, Germany - Stefan Wildermann, Universität Erlangen-Nürnberg, Germany

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Fwd: Call for Papers - DELTA 2020 (Position/Regular Paper Extension)
by Gustaf Neumann 01 Apr '20

01 Apr '20

-------- Forwarded Message -------- Subject: Call for Papers - DELTA 2020 (Position/Regular Paper Extension) Date: Tue, 31 Mar 2020 22:00:20 +0000 From: DeLTA Secretariat <delta(a)scitevents.net> Reply-To: DeLTA Secretariat <delta(a)scitevents.net> To: gustaf.neumann(a)wu.ac.at CALL FOR PAPERS 1st International Conference on Deep Learning Theory and Applications New Position/Regular Paper Submission Deadline: *April 07, 2020 * *Exceptionally, due to COVID-19, we accept regular paper submissions until the deadline defined for position papers; furthermore, alternative forms of presentation will be made available for those that cannot travel to be able to present their papers. * *http://www.delta.scitevents.org* <http://VZUO.trk.elasticemail.com/tracking/click?d=8UA5Qonbm2d2AirR8Qzem3g64…> July 08 - 10, 2020 Lieusaint - Paris, France *Due to many requests, the position papers submission deadline of this conference has been extended. * Deep Learning and Big Data Analytics are two major topics of data science, nowadays. Big Data has become important in practice, as many organizations have been collecting massive amounts of data that can contain useful information for business analysis and decisions, impacting existing and future technology. A key benefit of Deep Learning is the ability to process these data and extract high-level complex abstractions as data representations, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled. Machine-learning and artificial intelligence are pervasive in most real-world applications scenarios such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains. Deep learning approaches, leveraging on big data, are outperforming state-of-the-art more “classical” supervised and unsupervised approaches, directly learning relevant features and data representations without requiring explicit domain knowledge or human feature engineering. These approaches are currently highly important in IoT applications. *DeLTA is organized in 5 major tracks: * 1 - Models and Algorithms <http://VZUO.trk.elasticemail.com/tracking/click?d=kjcUjDISYg5vK6nzTrsvoY3Hw…> 2 - Machine Learning <http://VZUO.trk.elasticemail.com/tracking/click?d=kjcUjDISYg5vK6nzTrsvoY3Hw…> 3 - Big Data Analytics <http://VZUO.trk.elasticemail.com/tracking/click?d=kjcUjDISYg5vK6nzTrsvoY3Hw…> 4 - Computer Vision Applications <http://VZUO.trk.elasticemail.com/tracking/click?d=kjcUjDISYg5vK6nzTrsvoY3Hw…> 5 - Natural Language Understanding <http://VZUO.trk.elasticemail.com/tracking/click?d=kjcUjDISYg5vK6nzTrsvoY3Hw…> *Conference Chair(s) <http://VZUO.trk.elasticemail.com/tracking/click?d=qQovZxdJ5wp3meXW0UFP2cQWR…>* Kurosh Madani, University of Paris-EST Créteil (UPEC), France *Program Chair(s) <http://VZUO.trk.elasticemail.com/tracking/click?d=kSVKUEsZmzrzqAR8uNc_gR5uW…>* Ana Fred, Instituto de Telecomunicações and University of Lisbon, Portugal *Endorsed by: * International Association for Pattern Recognition *In Cooperation with * ACM Special Interest Group on Artificial Intelligence International Neural Network Society With the presence of internationally distinguished keynote speaker: Petia Radeva <http://VZUO.trk.elasticemail.com/tracking/click?d=tSHpYY4JjgUa7j248uqMNPyzR…>, Universitat de Barcelona, Spain Proceedings will be submitted for *indexation by: * The DBLP Computer Science Bibliography Thomson Reuters Engineering Index (EI) SCOPUS Semantic Scholar Google Scholar Microsoft Academic A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer <http://VZUO.trk.elasticemail.com/tracking/click?d=IUkHIchreuWNesWRwGI8jt6vW…> in a CCIS Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library <http://VZUO.trk.elasticemail.com/tracking/click?d=TqOgEHPpYWZ-t4vKmbNK_NnpL…>. Kind regards, Ana Rita Paciência DeLTA Secretariat *Address: * Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal *Tel: * +351 265 520 185 *Web: * http://www.delta.scitevents.org <http://VZUO.trk.elasticemail.com/tracking/click?d=8UA5Qonbm2d2AirR8Qzem3g64…> *e-mail: * delta.secretariat(a)insticc.org <mailto:delta.secretariat@insticc.org> If you no longer wish to receive mail from us, you can unsubscribe <http://VZUO.trk.elasticemail.com/tracking/unsubscribe?msgid=hpvJdJgbqN7lVCF…> SCITEVENTS, Av. S. Francisco Xavier Lote 7 Cv. C, Setúbal, 2900-616, Portugal

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Fwd: [AISWorld] 2nd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications
by Gustaf Neumann 01 Apr '20

01 Apr '20

-------- Forwarded Message -------- Subject: [AISWorld] 2nd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications Date: Wed, 1 Apr 2020 10:19:50 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications EDITED BY PROF. DR. ZHAOHAO SUN TO BE PUBLISHED BY IGI Global, USA https://www.igi-global.com/publish/call-for-papers/call-details/4539 or http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=96711 or https://www.researchgate.net/project/Intelligent-Analytics-with-Applications Introduction Intelligent analytics is an emerging scientific paradigm that integrates big data/information/knowledge/wisdom, analytics and artificial intelligence (AI) to provide smart services to our work, business, life, industry and society. From a fundamental perspective, intelligent analytics at least includes intelligent big data analytics, intelligent big information analytics, intelligent big knowledge analytics, intelligent big wisdom analytics. Intelligent analytics has been revolutionizing our work, life, business, management, organization and industry. It becomes disruptive technology for healthcare, web services, service computing, cloud computing, 5G development, blockchain and social networking computing. However, many fundamental, technological and managerial issues in developing and applying intelligent analytics with multi-industry applications remain open. For example, what is the foundation of intelligent analytics? what are the elements of intelligent analytics? What are the real big characteristics of intelligent analytics? How can apply intelligent analytics to improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation and industries? What is the effect of intelligent analytics on business, management, the Internet of things, cloud computing, blockchain, service and society? This book will address these issues by exploring the cutting-edge theory, technologies and methodologies of intelligent analytics with multi-industry applications and emphasize integration of AI, business intelligence, big data/information/knowledge/wisdom, and analytics from a perspective of computing, service and management. This book also provides applications of the proposed theory, technologies and methodologies of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud and service) commerce and services, healthcare, the Internet of things, sharing economy, cloud computing, blockchain, and Industry 4.0 in the real world. This book titled “Intelligent Analytics with Multi-industry Applications” is the first book to reveal the cutting-edge theory, technologies, methodologies of intelligent analytics with applications. This is also the first book demonstrating that intelligent analytics is an important enabler for developing cloud computing, 5G, blockchains, digital transformation, business, management, governance and services in multi-industry applications. The proposed approaches will facilitate research, development and applications of intelligent analytics, big data/information/knowledge/wisdom analytics, data science, digital transformation, e-business and web service, service computing, cloud computing and social computing. Aims, Scope and Target Audience This book’s primary aim is to convey the foundations, technologies, thoughts, and methods of intelligent analytics with multi-industry applications to scientists, engineers, educators and university students, business, service and management professionals, policy makers and decision makers and others who have interest in big data, big information, big knowledge and big intelligence and wisdom, intelligent analytics, AI, cloud computing, the Internet of things (IoT), digital transformation, SMACS intelligence and computing, commerce and service as well as data science, information science, and knowledge science. Primary audiences for this book are undergraduate, postgraduate students and variety of professionals in the fields of big data, data science, information science and technology, knowledge technology and engineering, intelligence science, analytics, AI, computing, commerce, business, services, management and government. The variety of readers in the fields of government, consulting, marketing, business and trade as well as the readers from all the social strata can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies and applications of intelligent analytics with applications. Papers as book chapters of all theoretical and technological approaches, and applications of intelligent analytics are welcome. Submissions that cross multiple disciplines such as management, service, business, artificial intelligence, intelligent systems, data science, optimization, statistics, information systems, decision sciences, and industries to develop theory and provide technologies and applications that could move theory and practice forward in intelligent analytics, are especially encouraged. Topics Topics of contributions to this book include four parts: foundations, technologies, applications and emerging technologies and applications of intelligent analytics as follows. Part I. Foundations of intelligent analytics Topics: fundamental concepts, models/architectures, frameworks/schemes or foundations for developing, operating, evaluating, managing intelligent analytics. The following topics might also include, but not limited to. • Intelligent analytics as a Science and Technology (IAaaST) • Big Data science • Big Data intelligence • Intelligent Analytics for big data, information, knowledge, intelligence and wisdom • Intelligent analytics in business ecosystems • Decision science for intelligent analytics • Computing and foundations of intelligent analytics • New computational models for Big Data • Mathematical fundamentals of intelligent Big Data analytics • Fuzzy logic approach to intelligent analytics • Graph theory for intelligent analytics • ICT fundamentals for analytics • Intelligent visualization techniques for analytics • Statistical modelling for intelligent analytics • Machine learning for intelligent analytics • Optimization techniques for intelligent analytics • Data mining for intelligent analytics • Business models for intelligent analytics • Real-time algorithms for intelligent analytics • Computing thinking for intelligent analytics Part II. Technologies for intelligent analytics Topics: Technologies for developing intelligent analytics might also include the following topics, but not limited to. * Intelligent Analytics as a System (IAaaSy) * Intelligent Analytics as a Service (IAaaSe) * Intelligent Analytics as a Management (IAaaM) * Intelligent Analytics as a Business (IAaaB) * Rule-based systems, * Machine learning, * Multi-agent systems, * Neural networks systems, * Fuzzy logic, * Cased-based reasoning, * Genetic algorithms, * Data mining algorithms, * Intelligent agents, * Intelligent user interfaces * Web technologies, * Intelligent big data/information/knowledge technologies, * Intelligent service technologies, * Social networking technologies, * Intelligent decision technologies, * Intelligent management technologies and business technologies. * Machine-to-machine communication Part III. Multi-industry Applications of intelligent analytics Topics: cases for using foundations and technologies in Part I, II in multi-industry applications and various domains such as digital transformation, blockchain, 5G, SMACS computing, commerce and services, financial services, legal services, healthcare services, educational services, and military services taking into account intelligent diagnostic, descriptive, predictive and prescriptive analytics. The following topics might also include, but not limited to. * Intelligent Analytics as an application * Intelligent analytics with applications * Intelligent analytics-based innovation and entrepreneurship * Intelligent analytics in business ecosystems * Intelligent analytics with public and open data * Intelligent analytics and markets * Intelligent analytics for e-commerce * Intelligent analytics for cloud computing * Intelligent analytics for IoT * Intelligent analytics for blockchain * Intelligent analytics for 5G applications * Intelligent analytics in business decision making * Intelligent analytics in healthcare * Marketing Analytics * Intelligent analytics in banking industry * Intelligent analytics in social networking services * Intelligent analytics for Big Data, information, knowledge and intelligence * Cybersecurity and privacy issues in Intelligent analytics. * Intelligent analytics for management * Intelligent analytics for risk management * Organization analytics Part IV. Emerging technologies and applications for intelligent analytics Topics: Emerging technologies, methodologies, and applications for intelligent analytics. The following topics might also include, but not limited to * Emergent AI-based technologies * Emergent intelligent analytics technologies * Challenges for intelligent big data analytics * Challenges for intelligent big information analytics * Challenges for intelligent big knowledge analytics * Challenges for intelligent analytics research * Challenges for intelligent analytics applications * Challenges for intelligent analytics tools Submission Procedure Please submit a brief summary (abstract) consisting of title and round 150-200 words for the proposed chapter clearly identifying the main objectives of your contribution online by clicking “propose a chapter” at https://www.igi-global.com/publish/call-for-papers/call-details/4539 or to the editor at zhaohao.sun(a)gmail.com by April 30, 2020. Authors of the accepted proposals will be notified and provided with detailed guidelines. Full chapters are to be submitted by May 30, 2020. Submission Format and Evaluation This book will be developed using the eEditorial Discovery™ online submission manager. Therefore, all manuscripts of book chapter must be submitted online using https://www.igi-global.com/submission/submit-chapter/?projectid=8480e8ad-d6… Every book chapter submission should consist of 8,000-12,000 words, and be structured into sections including Abstract, Introduction, background (or related work), main sections, future research directions, conclusion, references. Every book chapter must be submitted in Microsoft® Word, and be typewritten in English in APA style based on “manage source” and “insert citation” function. Every book chapter submission is original. Only ORIGINAL articles will be accepted for publication by IGI-Global. Upon acceptance of your article, you will be required to sign a warranty that your article is original and has NOT been submitted for publication or published elsewhere. All chapter submissions undergo a double-blind peer-review using the eEditorial Discovery™ online submission manager. Conditioned chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among: accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines. Important Dates * April 30, 2020: Proposal Submission Deadline * May 10, 2020: Notification of Acceptance * May 30, 2020: Full Chapter Submission * July 8, 2020: Review Results Returned * August 19, 2020: Final Acceptance Notification * September 2, 2020: Final Chapter Submission. * September – November 2020: estimated publishing period. Editor Information Prof. Dr. Zhaohao Sun, Ph.D. Editor of Handbook of Research on Intelligent Analytics with Multi-Industry Applications Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Morobe, PNG & Federation University Australia zhaohao.sun(a)gmail.com; z.sun(a)federation.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers - Service Analytics on HICSS 2021 - Hawaii International Conference on System Sciences
by Gustaf Neumann 01 Apr '20

01 Apr '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers - Service Analytics on HICSS 2021 - Hawaii International Conference on System Sciences Date: Tue, 31 Mar 2020 20:46:33 +0000 From: Kühl, Niklas <niklas.kuehl(a)kit.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleague, we want to invite you to submit a paper to the SERVICE ANALYTICS Minitrack on the HICSS-54: January 5-8, 2021 Grand Hyatt Kauai, Hawaii (hicss.hawaii.edu). Full papers will be included in the Conference Proceedings published by the IEEE Computer Society and maintained in the IEEE Digital Library. HICSS publications account for the top 2% downloads of all IEEE conferences, and have been consistently ranked as the most cited papers in top journal publications. SERVICE ANALYTICS comprise the application of data analytics and optimization techniques to service systems. SERVICE ANALYTICS is a field of research that receives more and more interest and importance in today’s service-driven societies and industries. On HICSS-54, the Service Analytics Minitrack will be run for the 8th time. We are seeking contributions applying Data Mining, Predictive Modeling, Machine Learning, Artificial Intelligence, Usage Behavior Analysis, Simulation, Visualization, Mathematical Optimization to service situations in Healthcare, Retail, Travel and Transport, Traffic (Connected Car), Electricity Consumption (Smart Meters), Telecommunications (Mobile Phone Usage), Social Networks, IT, Finance, Manufacturing (Industrial Services), Logistics Important Dates (details on http://hicss.hawaii.edu/tracks-and-minitracks/authors/): June 15: Paper Submission Deadline (submission system opens on April 20) Select track “Decision Analytics, Mobile Services, and Service Science” and Minitrack “Service Analytics” August 17: Notification of Acceptance/Rejection If you know colleagues who could be interested in a submission, please forward this mail to them. Thanks and best regards, Hansjörg Fromm – Niklas Kühl - Gerhard Satzger - Thomas Setzer Prof. Dr. Hansjoerg Fromm Karlsruhe Service Research Institute Karlsruhe Institute of Technology (KIT) Kaiserstrasse 89, 76133 Karlsruhe, Germany Phone: (49) 171-5538591 Sec.: Helga Neher / Maria-Theresia Simon; email: office(a)ksri.kit.edu<mailto:office@ksri.kit.edu>; phone (49) 721-608-43227 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP: IMHE Workshop @ ITS 2020
by Gustaf Neumann 31 Mar '20

31 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: IMHE Workshop @ ITS 2020 Date: Tue, 31 Mar 2020 20:41:11 +0300 (EEST) From: Elvira Popescu <popescu_elvira(a)software.ucv.ro> To: aisworld(a)lists.aisnet.org First International Workshop on Intelligence Support for Mentoring Processes in Higher Education (IMHE 2020) at ITS 2020 (16th International Conference on Intelligent Tutoring Systems) Athens, Greece, 8-12 June 2020 https://its2020.iis-international.org/ Mentoring is the activity of a senior person (the mentor) sharing domain knowledge to a less experienced person (the mentee). Mentoring support is based on a trustful, protected and private atmosphere between the mentor and the mentee. The goal is to develop a professional identity and to reflect the current situation. At universities, mentors are senior academics or skilled employees while mentees are mostly students with different competences. Intelligent tutoring systems have a long tradition, focusing on cognitive aspects of learning in a selected domain. They were successfully applied especially in such areas, where the domain knowledge can be well formalised with the help of experts. Nevertheless, in the learning process also motivations, emotions and meta-cognitive competences play a crucial role. These can be nowadays quite well recognised and monitored through big educational data and a wide spectrum of available sensors. This enables the support also for the mentoring process, which is more spontaneous, holistic and depends on the needs and interests of the mentee. Psychological and emotional support are at the heart of the mentoring relationship, underpinned by empathy and trust. Various roles and success factors for mentoring have been identified as well. We want to look at these aspects and investigate how they were technologically supported, in order to specify the requirements for intelligent mentoring systems. This should help us to answer the following questions: How can we design educational concepts that enable a scalable individual mentoring in the development of competences? How can we design intelligent mentoring systems to cover typical challenges and to scale up mentoring support in universities? How can we design an infrastructure to exchange data between universities in a private and secure way to scale up on the inter-university level? How can we integrate heterogeneous data sources (learning management systems, sensors, social networking sites) to facilitate learning analytics supporting mentoring processes? == Topics include but are not limited to: * Pedagogical models of mentoring * Peer mentoring & crowdsourcing mentoring * Workplace & career mentoring * Meta-cognitive competences of mentoring * Chatbots in Mentoring * Mixed Reality Mentoring * Wearables and Sensors for mentoring * Self-regulated mentoring, nudging & behaviour change * Mentoring analytics * Mentoring support in learning management systems * Mobile mentoring support * Design and research methodologies for mentoring support * Measuring and Analysing mentoring support * Visualization techniques for mentoring support * Motivation and gamification of mentoring support * Deep learning, machine learning and data mining in mentoring support * Recommender technologies for mentoring support (mentor-mentee matching) * Semantic technologies for mentoring support (ontologies, domain & mentoring models) * Distributed mentoring environments (cloud & p2p platforms) * Mentoring for specific domains & subjects (math, engineering, social sciences, pedagogy) * Affective computing for mentoring * Requirements of intelligent mentoring systems == Paper submission and publication Position papers should be written in English and they should be 6-8 pages in LNCS format. Please submit your papers as a PDF document via EasyChair: https://easychair.org/conferences/?conf=imhe2020. All submissions will be subject to a double-blind review process. A publication of the accepted papers is planned as a volume in the CEUR-WS.org series. We will also develop the workshop contributions into an article collection in Frontiers of Artificial Intelligence. == Important dates 20 April 2020 – Paper submission deadline 8 May 2020 – Notification of acceptance/rejection 20 May 2020 – Deadline for authors to submit final manuscript for publication TBA - Deadline for at least one author of each paper to register for the workshop == Workshop Organizers Ralf Klamma (RWTH Aachen University, Germany) Milos Kravcik (DFKI, Germany) Elvira Popescu (University of Craiova, Romania) Viktoria Pammer-Schindler (Graz University of Technology, Austria) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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30 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP | Engaging Governance | 54th HICSS 2021 conference | fastracks Internet Research (IF 3.8) and Electronic Markets (IF 3.8) | AIS Transactions on Human-Computer Interaction | Deadline June 15 2020 Date: Mon, 30 Mar 2020 21:32:08 +0300 From: Lobna Hassan <lobnasamir(a)gmail.com> To: AISWorld(a)lists.aisnet.org Link to full CFP: https://www.tut.fi/Gamification/2020/03/08/cfp-engaging-governance-54th-ann… <https://www.tut.fi/Gamification/2020/03/08/cfp-engaging-governance-54th-ann…> === Engaging Governance track Part of the “Digital Government” – track 54th annual Hawaii International Conference on System Sciences HICSS January 5-8, 2020 | Grand Hyatt, Kauai === IMPORTANT DATES - June 15: Submissions deadline - August 17: Notification sent to authors - September 4: Revision deadline - September 10: Final acceptance notifications sent to authors - September 22: Deadline for authors to submit the final manuscript (camera ready) - October 1: Registration deadline - January 5-8: Conference - February 15, 2019 (date subject to change) (Optional) Submission deadline for extended versions of selected papers for Internet Research or AIS Transactions on Human-Computer Interaction Authors of accepted papers have the option to fast-track extended versions of their HICSS papers either to Internet Research (Impact factor 3.838) (http://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=int <http://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=int> or AIS Transactions on Human-Computer Interaction (https://aisel.aisnet.org/thci/ <https://aisel.aisnet.org/thci/>). Moreover, the Engaging Governance mini-track is part of the Gamification Publication Track aimed at the persistent development of gamification research: http://gamifinconference.com/gamification-track/ <http://gamifinconference.com/gamification-track/> Submission instructions: https://hicss.hawaii.edu/authors/ <https://hicss.hawaii.edu/authors/> === Topics include (but are not limited to) the intersections between engagement and governance: 1) Engagement - Game-based approaches: games, gamification, gamefulness, urban gamification, simulations, policy games, serious games, games with a purpose, game-based learning - Motivational technology: persuasive technology, affective technology, quantified self, motivational theory - Play: playfulness, toys, toyification - Storytelling: narratives, stories, digital storytelling, interactive narrative, storification, roleplay - Immersive technology: AR, VR, XR, digital twins - User generated content: social media, social networks, memes, streaming 2( Governance - Participation: e-participation, e-democracy, empowerment, co-creation, integration, diversity, accessibility - Urban planning: smart cities, public spaces, resource management, commons, sustainability, IoTs - Public data: open data, big data, data ownership, citizen sensing, crowdsensing visualization, information and misinformation - Economy: national economy, sharing economy, information economy, taxation, market regulation - Security and law enforcement: cybersecurity, surveillance, privacy, deception, organized crime, information warfare, digital forensics, e-justice - Policy and politics: policymaking, law-making, voting, petitioning, post-truth politics, campaigning, elections, nudge politics, top-down vs bottom-up regulations - Emergency response: disaster and resources management volunteer work We encourage a wide range of submissions from any disciplinary backgrounds: empirical and conceptual research papers, case studies, and reviews. We additionally welcome submissions to connected minitracks of Gamification, CFP: https://www.tut.fi/Gamification/2020/03/08/cfp-gamification-54th-annual-haw… <https://www.tut.fi/Gamification/2020/03/08/cfp-gamification-54th-annual-haw…> Streaming Media in Entertainment: https://www.tut.fi/Gamification/2020/03/19/cfp-gamification-54th-annual-haw… <https://www.tut.fi/Gamification/2020/03/19/cfp-gamification-54th-annual-haw…> === CHAIRS Lobna Hassan University of Turku / Tampere University Email: lobna.hassan(a)tuni.fi Mattia Thibault Tampere University Email: mattia.thibault(a)tuni.fi Juho Hamari University of Turku / Tampere University Email: juho.hamari(a)tuni.fi See you in Hawaii! ==== Public engagement in the governance of shared resources and commons is often inhibited by several factors, such as the growing complexity of modern life, constraints of time or space, and the lack of interest to engage from both individuals and governing bodies. On the other hand, the increased digitalization of society and exponential technological developments have made participation in governance more technologically feasible than ever. Research and practice have sprung to investigate how emerging technologies could impact engagement in governance under such umbrellas as e-democracy (16), e-participation (21, 25), e-voting (26), e-petitioning (3), and online, participatory campaigning (11, 31), amongst many other governance engagement strategies. Engagement with governance is often facilitated through various technological means and strategies. Among others, games, game-based and playful approaches (10, 22, 23) have been utilized in governance and public engagement practices, for example through simulations and policy games (10). Emerging and connected technologies and strategies are similarly being utilized to foster engagement with governance through social media (2, 8), gamification & gameful design (12, 13, 18, 19), serious games (7, 32), persuasive technology (24), virtual (28) and augmented reality (4, 27). For example: serious games are being utilized to foster civic learning (9), gamification to promote formal interaction between citizens and policy makers (10, 13, 15), and virtual reality as means of promoting empathy, integration and social connection (5). Many have, additionally, explored how public spaces, and especially smart cities, could be made more engaging to citizens, often in playful ways (14, 23). Smart cities can become playgrounds, where inhabitants, for better or for worse, shape the city’s landscape: its public areas, walkways, social interactions and makeups through technologies (8, 14, 20, 23, 30). Location-based games such as Pokémon Go (4) were able to attract millions of players, making cities friendlier as spaces where individuals felt safer and were more likely to create social connections with their neighbors. Concepts such as Hackable Cities (20, 34), Playable Cities (23), and Urban Gamification (33) highlight the large-scale change that emerging technologies are bringing about in the smart cities of the future. Moreover, social media and user generated content have become a key player in public life through, for example, political memes (2, 8, 11), and organization of political and city activities (20). These emerging technologies and engagement strategies, amongst others, have shown and still hold a great potential for public engagement in governance. Nonetheless, engagement with governance and the public good can be seen to exist outside the common hurdles of the everyday life, where the effects of engagement are often invisible or take a long time to materialize (13, 18). While we could argue that the basic technological means for facilitating engagement in governance are available to remedy to the modern physical challenges that hinder exactly such engagement, public engagement with governance often swings between the extremes of being passive or active through logistically unsustainable online and offline movements engagement, such as has been seen with the Arab Spring (1, 17), occupy Wall Street movements (6), and some city alteration movements (20, 29, 34). Both, the lack of engagement in governance and unsustainable engagement with it are of detriment to governance and democratic practices. Alha, K., Koskinen, E., Paavilainen, J., & Hamari, J. (2019). Why do people play location-based augmented reality games: A study on Pokémon GO. Computers in Human Behavior, 93, 114-122. Blascovich, J., & Bailenson, J. (2011). Infinite reality: Avatars, eternal life, new worlds, and the dawn of the virtual revolution. William Morrow & Co. Connolly, T. M. Boyle, E. A., MacArthur, E., Hainey, T. & Boyle, J. M. (2012). A systematic literature review of empirical evidence on computer games and serious games. Computers & Education, 59, 661-686. Deterding, S. (2015). The lens of intrinsic skill atoms: A method for gameful design. Human–Computer Interaction, 30(3-4), 294-335. Granic, I., Lobel, A., & Engels, R. C. (2014). The benefits of playing video games. American psychologist, 69(1), 66. Hamari, J. (2019). Gamification. In G. Ritzer & C. Rojek (Eds.), The Blackwell Encyclopedia of Sociology. New York John Wiley & Sons. DOI: https://doi.org/10.1002/9781405165518.wbeos1321 Hamari, J., & Sjöblom, M. (2017). What is eSports and why do people watch it? Internet research, 27(2), 211-232. Hamari, J., Hassan, L., & Dias, A. (2018). Gamification, quantified-self or social networking? Matching users’ goals with motivational technology. User Modeling and User-Adapted Interaction. 28(1), 35-74. Hassan, L., Dias, A., & Hamari, J. (2019). How motivational feedback increases user’s benefits and continued use: A study on gamification, quantified-self and social networking. International Journal of Information Management, 46, 151-162. Huotari, K., & Hamari, J. (2017). A definition for gamification: anchoring gamification in the service marketing literature. Electronic Markets, 27(1), 21-31. Högberg, J., Hamari, J., & Wästlund, E. (2019). Gameful Experience Questionnaire (GAMEFULQUEST): An instrument for measuring the perceived gamefulness of system use. User Modeling and User-adapted Interaction. Kiili, K. (2005). Digital game-based learning: Towards an experiential gaming model. The Internet and Higher Education, 8(1), 13-24. Koivisto, J., & Hamari, J. (2019). The rise of motivational information systems: A review of gamification literature. International Journal of Information Management, 45, 191-210. Landers, R. N., Auer, E. M., Collmus, A. B., & Armstrong, M. B. (2018). Gamification science, its history and future: Definitions and a research agenda. Simulation & Gaming, 49(3), 315-337. Malone, T. W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive science, 5(4), 333-369. Montola, M., Stenros, J., & Waern, A. (2009). Pervasive games: theory and design. Morgan Kaufmann Publishers Inc. Morschheuser, B., Hamari, J., Koivisto, J., & Maedche, A. (2017). Gamified crowdsourcing: Conceptualization, literature review, and future agenda. International Journal of Human-Computer Studies, 106, 26-43. Mäyrä, F. (2016). Pokémon GO: Entering the Ludic Society. Mobile Media & Communication, 2050157916678270. Nijholt, A. (2017). Playable Cities The City as a Digital Playground. Springer. Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive Systems Design: Key Issues, Process Model, and System Features. Communications of the Association for Information Systems, 24(1). Peng, W., Crouse, J. C., & Lin, J. H. (2013). Using active video games for physical activity promotion: a systematic review of the current state of research. Health education & behavior, 40(2), 171-192. Ryan, R. M., Rigby, C. S., & Przybylski, A. (2006). The motivational pull of video games: A self-determination theory approach. Motivation and emotion, 30(4), 344-360. Sotamaa, O. (2010). When the game is not enough: Motivations and practices among computer game modding culture. Games and Culture, 5(3), 239-255. Squire, K. D. (2008). Video games and education: Designing learning systems for an interactive age. Educational Technology, 48(2), 17-26. Taylor, T. L. (2012). Raising the Stakes: E-sports and the Professionalization of Computer Gaming. MIT Press. Thibault, M. (2019) “Towards a Typology of Urban Gamification” in In Proceedings of the 52nd Annual Hawaii International Conference on System Sciences (HICSS), Hawaii, USA, January 8-11, 2019., pp. 1476-1485. Törhönen, M., Sjöblom, M., & Hamari, J. (2018). Aspects of online popularity: What do content creators believe to affect their popularity on Twitch and YouTube? In Proceedings of the 2nd International GamiFIN conference, Pori. Finland, May 21-23, 2018. Von Ahn, L., & Dabbish, L. (2008). Designing games with a purpose. Communications of the ACM, 51(8), 58-67. Wexelblat, A. (Ed.). (2014). Virtual reality: applications and explorations. Academic Press. Xi, N., & Hamari, J. (2020). Does gamification affect brand engagement and equity? A study in online brand communities, Journal of Business Research, 109, 449-460. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for contributions - Agile IT Service Management - Tenets, Approaches, Frameworks and Practices
by Gustaf Neumann 30 Mar '20

30 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for contributions - Agile IT Service Management - Tenets, Approaches, Frameworks and Practices Date: Mon, 30 Mar 2020 18:36:36 +0000 From: Jose Manuel Mora Tavarez <jose.mora(a)edu.uaa.mx> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> CC: jorge.marx.gomez(a)uni-oldenburg.de <jorge.marx.gomez(a)uni-oldenburg.de> EEE'20 - The 19th Int'l Conf on e-Learning, e-Business, Enterprise Information Systems, and e-Government | Jul 27-30, 2020 | Las Vegas, Nevada, USA Special on live or virtual Session: Agile IT Service Management - Tenets, Approaches, Frameworks and Practices https://americancse.org/events/csce2020/conferences/eee20/special_workshop_… Type of Submissions/Papers for this session: 1. Full/Regular Research Papers (maximum of 10 pages). 2. Short Research Papers (maximum of 6 pages). 3. Extended Abstract/Poster Papers (maximum of 3 pages). IMPORTANT DATES · Submission of papers --- March 29, 2020 - April 25, 2020 · Notification of acceptance (+/- two days) --- April 19, 2020 - May 08, 2020 · Submission of accepted papers + Copyright + Registration --- May 05, 2020 - May 22, 2020 ------------------------------------------------------------ Prof. Dr. José Manuel Mora Tavarez Depto. de Sistemas de Información Centro de Ciencias Básicas Universidad Autónoma de Aguascalientes Ave. Universidad 940 Aguascalientes, AGS. México 20131 Email: jose.mora(a)edu.uaa.mx <https://www.researchgate.net/profile/Manuel_Mora> ResearchGate Weblink<https://www.researchgate.net/profile/Manuel_Mora> <https://scholar.google.com.mx/citations?user=97rTgbkAAAAJ&hl=en&oi=sra> Scholar Google Weblink<https://scholar.google.com.mx/citations?user=97rTgbkAAAAJ&hl=en&oi=sra> Linkedin Weblink<https://www.linkedin.com/in/manuel-mora-engd-37b03a1/> SCOPUS Weblink<https://www.scopus.com/authid/detail.uri?authorId=25823339800> ------------------------------------------------------------ _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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30 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP | Gamification | 54th HICSS 2021 conference | fastracks Internet Research (IF 3.8) and Electronic Markets (IF 3.8) | AIS Transactions on Human-Computer Interaction | Deadline June 15 2020 Date: Mon, 30 Mar 2020 21:56:44 +0300 From: Lobna Hassan <lobnasamir(a)gmail.com> To: AISWorld(a)lists.aisnet.org Link to full CFP: https://www.tut.fi/Gamification/2020/03/08/cfp-gamification-54th-annual-haw… <https://www.tut.fi/Gamification/2020/03/08/cfp-gamification-54th-annual-haw…> === GAMIFICATION track Part of the “Decision Analytics, Mobile Services, and Service Science” – track 54th annual Hawaii International Conference on System Sciences HICSS January 5-8, 2020 | Grand Hyatt, Kauai === IMPORTANT DATES - June 15: Submissions deadline - August 17: Notification sent to authors - September 4: Revision deadline - September 10: Final acceptance notifications sent to authors - September 22: Deadline for authors to submit the final manuscript (camera ready) - October 1: Registration deadline - January 5-8: Conference - February 15, 2019 (date subject to change) (Optional) Submission deadline for extended versions of selected papers for Internet Research or AIS Transactions on Human-Computer Interaction Authors of accepted papers have the option to fast-track extended versions of their HICSS papers either to Internet Research (Impact factor 3.838) (http://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=int <http://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=int> or AIS Transactions on Human-Computer Interaction (https://aisel.aisnet.org/thci/ <https://aisel.aisnet.org/thci/>). Moreover, the Gamification mini-track is part of the Gamification Publication Track aimed at the persistent development of gamification research: http://gamifinconference.com/gamification-track/ <http://gamifinconference.com/gamification-track/> Submission instructions: https://hicss.hawaii.edu/authors/ <https://hicss.hawaii.edu/authors/> === TOPICS (but are not limited to): - Users: e.g. Engagement, experience, motivations, user/player types - Education: e.g. Serious games, game-based learning, simulation games - Media: e.g. eSports, streaming - Commerce: e.g. Game business models, free-to-play, gamification as marketing, adoption - Work: e.g. Organizational gamification, gameful work, games-with-a-purpose, playbour - Technology: e.g. VR, AR, MR, gameful wearables and IoT - Toys & playfulness - Health: e.g. Quantified-self, games for health, health benefits - Cities: e.g. smart cities, urban gamification, playable cities, community engagement, governance - Theories/concepts/methods: Contributions to science around gamification We encourage a wide range of submissions from any disciplinary backgrounds: empirical and conceptual research papers, case studies, and reviews. We additionally welcome submissions to connected minitracks of Engaging Governance, CFP: https://www.tut.fi/Gamification/2020/03/08/cfp-engaging-governance-54th-ann… <https://www.tut.fi/Gamification/2020/03/08/cfp-engaging-governance-54th-ann…> Streaming Media in Entertainment: https://www.tut.fi/Gamification/2020/03/19/cfp-gamification-54th-annual-haw… <https://www.tut.fi/Gamification/2020/03/19/cfp-gamification-54th-annual-haw…> === CHAIRS Juho Hamari University of Turku / Tampere University Email: juho.hamari(a)tuni.fi Lobna Hassan University of Turku / Tampere University Email: lobna.hassan(a)tuni.fi Nannan Xi Tampere University Email: nannan.xi(a)tuni.fi See you in Hawaii! ==== Interaction with games is considered to have positive effects on our cognitive, emotional, social abilities and motivation (5; 9; 10; 13; 15; 22; 30). It isn’t surprising, then that our reality and lives are increasingly becoming game-like (6). This is not limited to the fact that digital games have become a pervasive part of our lives, but perhaps most prominently with the fact that activities, systems and services that are not traditionally perceived as game-like are becoming either intentionally or unintentionally gameful (4; 6; 10; 13; 14). Gamification refers to a “process of transforming any activity, system, service, product or organizational structure into one which affords positive experiences, skills and practices similar to those afforded by games, and is often referred to as the gameful experience. This is commonly but optionally done with an intention to facilitate changes in behaviours or cognitive processes. As the main inspirations of gamification are games and play, gamification is commonly pursued by employing game design” (6). Gamification has become an umbrella concept that, to varying degrees, includes and encompasses other related technological developments such as serious games (3), game-based learning (12; 24), exergames & quantified-self (8; 9; 21), games with a purpose/human-based computation games (17; 28), and persuasive technology (20). Secondly, gamification also manifests in a gradual, albeit unintentional, cultural, organizational and societal transformation stemming from the increased pervasive engagement with games, gameful interactions (6), game communities and player practices. For example, recently we have witnessed the popular emergence of augmented reality games (16; 17) and virtual reality technologies (2; 29) that enable a more seamless integration of games into our physical reality. Case in point are urban spaces that are increasingly becoming playgrounds for different games and -play activities. While location-based games such as Pokémon Go (1) were able to attract millions of players, concepts such as Playable Cities (19) and Urban Gamification (26) highlight the large scale changes that games are bringing about in the smart cities of the future. Moreover, the media ecosystem has also experienced a degree of ludic transformation: with user generated content becoming an important competitor for large media corporations. This transformation has led to the development of several emerging phenomena such as the Youtube and modding cultures (23; 27) and esports (7; 25), that have penetrated the cultural membrane allowing games to seep into domains hitherto dominated by traditional media. Alha, K., Koskinen, E., Paavilainen, J., & Hamari, J. (2019). Why do people play location-based augmented reality games: A study on Pokémon GO. Computers in Human Behavior, 93, 114-122. Blascovich, J., & Bailenson, J. (2011). Infinite reality: Avatars, eternal life, new worlds, and the dawn of the virtual revolution. William Morrow & Co. Connolly, T. M. Boyle, E. A., MacArthur, E., Hainey, T. & Boyle, J. M. (2012). A systematic literature review of empirical evidence on computer games and serious games. Computers & Education, 59, 661-686. Deterding, S. (2015). The lens of intrinsic skill atoms: A method for gameful design. Human–Computer Interaction, 30(3-4), 294-335. Granic, I., Lobel, A., & Engels, R. C. (2014). The benefits of playing video games. American psychologist, 69(1), 66. Hamari, J. (2019). Gamification. In G. Ritzer & C. Rojek (Eds.), The Blackwell Encyclopedia of Sociology. New York John Wiley & Sons. DOI: https://doi.org/10.1002/9781405165518.wbeos1321 Hamari, J., & Sjöblom, M. (2017). What is eSports and why do people watch it? Internet research, 27(2), 211-232. Hamari, J., Hassan, L., & Dias, A. (2018). Gamification, quantified-self or social networking? Matching users’ goals with motivational technology. User Modeling and User-Adapted Interaction. 28(1), 35-74. Hassan, L., Dias, A., & Hamari, J. (2019). How motivational feedback increases user’s benefits and continued use: A study on gamification, quantified-self and social networking. International Journal of Information Management, 46, 151-162. Huotari, K., & Hamari, J. (2017). A definition for gamification: anchoring gamification in the service marketing literature. Electronic Markets, 27(1), 21-31. Högberg, J., Hamari, J., & Wästlund, E. (2019). Gameful Experience Questionnaire (GAMEFULQUEST): An instrument for measuring the perceived gamefulness of system use. User Modeling and User-adapted Interaction. Kiili, K. (2005). Digital game-based learning: Towards an experiential gaming model. The Internet and Higher Education, 8(1), 13-24. Koivisto, J., & Hamari, J. (2019). The rise of motivational information systems: A review of gamification literature. International Journal of Information Management, 45, 191-210. Landers, R. N., Auer, E. M., Collmus, A. B., & Armstrong, M. B. (2018). Gamification science, its history and future: Definitions and a research agenda. Simulation & Gaming, 49(3), 315-337. Malone, T. W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive science, 5(4), 333-369. Montola, M., Stenros, J., & Waern, A. (2009). Pervasive games: theory and design. Morgan Kaufmann Publishers Inc. Morschheuser, B., Hamari, J., Koivisto, J., & Maedche, A. (2017). Gamified crowdsourcing: Conceptualization, literature review, and future agenda. International Journal of Human-Computer Studies, 106, 26-43. Mäyrä, F. (2016). Pokémon GO: Entering the Ludic Society. Mobile Media & Communication, 2050157916678270. Nijholt, A. (2017). Playable Cities The City as a Digital Playground. Springer. Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive Systems Design: Key Issues, Process Model, and System Features. 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(2019) “Towards a Typology of Urban Gamification” in In Proceedings of the 52nd Annual Hawaii International Conference on System Sciences (HICSS), Hawaii, USA, January 8-11, 2019., pp. 1476-1485. Törhönen, M., Sjöblom, M., & Hamari, J. (2018). Aspects of online popularity: What do content creators believe to affect their popularity on Twitch and YouTube? In Proceedings of the 2nd International GamiFIN conference, Pori. Finland, May 21-23, 2018. Von Ahn, L., & Dabbish, L. (2008). Designing games with a purpose. Communications of the ACM, 51(8), 58-67. Wexelblat, A. (Ed.). (2014). Virtual reality: applications and explorations. Academic Press. Xi, N., & Hamari, J. (2020). Does gamification affect brand engagement and equity? A study in online brand communities, Journal of Business Research, 109, 449-460. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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