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Fwd: [AISWorld] IJDSST CFP - SPECIAL ISSUE ON Group Decision-Making Support Systems for Pandemic Crises
by Gustaf Neumann 01 Jun '20

01 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] IJDSST CFP - SPECIAL ISSUE ON Group Decision-Making Support Systems for Pandemic Crises Date: Mon, 1 Jun 2020 15:57:40 +0000 From: Jose Manuel Mora Tavarez <jose.mora(a)edu.uaa.mx> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> CC: Fen Wang <Fen.Wang(a)cwu.edu>, jorge.marx.gomez(a)uni-oldenburg.de <jorge.marx.gomez(a)uni-oldenburg.de>, Gloria Wren <gwren(a)loyola.edu> SUBMISSION DUE DATE: December 15, 2020 SPECIAL ISSUE ON Group Decision-Making Support Systems for Pandemic Crises International Journal of Decision Support System Technology (IJDSST) https://www.igi-global.com/journal/international-journal-decision-support-s… INTRODUCTION: Group Decision-Making Support Systems (GDMSS) have been widely investigated and used from their origins in the '80s-'90s decades (Huber, 1984; DeSanctis and Gallupe, 1987; Nunamaker et al; 1987; Gray, 1987; Dickson et al., 1993; Fjermestad and Hiltz, 1998), and until nowadays (Gray et al., 2011; Zarate et al., 2013; Mora et al., 2014; Carneiro et al., 2019; Sakka et al., 2019; Ghavami et al., 2019; Aghazadeh and Padoano, 2020). GDMSS have been proposed for supporting critical group decisions demanded from high- social and economic impact events (Belardo and Harrald, 1992; Jefferson and Harrald, 2007; Levy and Taji, 2007; Xu et al., 2015). Furthermore, GDMSS have also supported the group decisions required in the healthcare sector in the last 30 years ago (Hatcher, 1990; Liu et al., 2018). Nowadays, the worldwide COVID-19 crisis with the highest impacts on public health, economic and social dimensions have challenged (Liu et al., 2020) the group decision-making process and GDMSS that can provide effective, efficient and systemic-view support including the impacted health, economic, and social dimensions among other relevant ones (Rehfuess et al., 2019; Portela et al., 2019). Furthermore, relevant studies have reported critical misconceptions on public governmental decisions that occurred due to the utilization of a single pandemic modeling perspective (Ionnadis, 2020), which calls for more systemically designed GDMSS (Luke and Stamatakis, 2012; Araz, 2013). Consequently, whereas there is a vast availability of GDMSS, the COVID-19 crisis has revealed that updated GDMSS concepts, frameworks, methods and technologies (Hevner et al., 2004; Arnott and Pervan, 2014), from a systemic perspective, are required to address effectively, efficiently, and ethically a group decision-making process conducted by policymakers in the context of a pandemic crisis (WHO, 2009; Moghadas et al., 2009; Moberg et al., 2018; Shearer et al., 2020; Squazzoni et al., 2020; Aghazadeh and Padoano, 2020). REFERENCES Aghazadeh, A., and Padoano, E. (2020). A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making. Sustainability, 12(7), 2602. Araz, O. M. (2013). Integrating complex system dynamics of pandemic influenza with a multi-criteria decision making model for evaluating public health strategies. Journal of Systems Science and Systems Engineering, 22(3), 319-339. Arnott, D., and Pervan, G. (2014). A Critical Analysis of Decision Support Systems Research Revisited: The Rise of Design Science. Journal of Information Technology, 29(4), 269-293. Belardo, S., and Harrald, J. (1992). A framework for the application of group decision support systems to the problem of planning for catastrophic events. IEEE transactions on Engineering Management, 39(4), 400-411. Carneiro, J., Saraiva, P., Conceicao, L., Santos, R., Marreiros, G., and Novais, P. (2019). Predicting satisfaction: perceived decision quality by decision-makers in web-based group decision support systems. Neurocomputing, 338, 399-417. DeSanctis, G., and Gallupe, R. B. (1987). A foundation for the study of group decision support systems. Management Science, 33(5), 589-609. Dickson, G. W., Partridge, J. E. L., and Robinson, L. H. (1993). Exploring modes of facilitative support for GDSS technology. MIS Quarterly, 173-194. Fjermestad, J, and Hiltz, S. R. (1998). An assessment of group support systems experimental research: methodology and results. Journal of Management Information Systems, 15(3), 7-149. Ghavami, S. M., Maleki, J., and Arentze, T. (2019). A multi-agent assisted approach for spatial Group Decision Support Systems: A case study of disaster management practice. International Journal of Disaster Risk Reduction, 38, 101223. Gray, P. (1987). Group decision support systems. Decision support systems, 3(3), 233-242. Gray, P., Johansen, B., Nunamaker, J., Rodman, J., and Wagner, G. R. (2011). GDSS past, present, and future. In Decision support (pp. 1-24). Springer, New York, NY. Hatcher, M. (1990). Uniqueness of group decision support systems (GDSS) in medical and health applications. Journal of Medical Systems, 14(6), 351-364. Hevner, A. R., March, S. T., Park, J., and Ram, S. (2004). Design science in information systems research. MIS Quarterly, 75-105. Huber, G. P. (1984). Issues in the design of group decision support systems. MIS Quarterly, 8(3), 195-204. Ioannidis, J.P. (2020).Coronavirus disease 2019 - the harms of exaggerated information and non-evidence-based measures. European Journal of Clinical Investigation, 50(4), e13222. Jefferson, T. I., and Harrald, J. R. (2007). Collaborative technology: providing agility in response to extreme events. International Journal of Electronic Governance, 1(1), 79-93. Levy, J. K., and Taji, K. (2007). Group decision support for hazards planning and emergency management: A Group Analytic Network Process (GANP) approach. Mathematical and Computer Modelling, 46(7-8), 906-917. Liu, H. C., You, X. Y., Tsung, F., and Ji, P. (2018). An improved approach for failure mode and effect analysis involving large group of experts: an application to the healthcare field. Quality Engineering, 30(4), 762-775. Liu, P., Zhong, X., and Yu, S. (2020). Striking a balance between science and politics: understanding the risk-based policy-making process during the outbreak of COVID-19 epidemic in China. Journal of Chinese Governance, 1-15. Luke, D. A., and Stamatakis, K. A. (2012). Systems science methods in public health: dynamics, networks, and agents. Annual Review of Public Health, 33, 357-376. Moberg, J., Oxman, A. D., Rosenbaum, S., Schünemann, H. J., Guyatt, G., Flottorp, S., ... and Alonso-Coello, P. (2018). The GRADE Evidence to Decision (EtD) framework for health system and public health decisions. Health Research Policy and Systems, 16(1), 45. Moghadas, S. M., Pizzi, N. J., Wu, J., and Yan, P. (2009). Managing public health crises: the role of models in pandemic preparedness. Influenza and Other Respiratory Viruses, 3(2), 75-79. Mora, M., Phillips-Wren, G., and Wang, F. (2014). An integrative evaluation framework for determining the value of group decision support systems. Engineering Management Journal, 26(2), 24-38. Nunamaker Jr, J. F., Applegate, L. M., and Konsynski, B. R. (1987). Facilitating group creativity: Experience with a group decision support system. Journal of Management Information Systems, 3(4), 5-19. Portela, A., Tunçalp, Ö., and Norris, S. L. (2019). Taking a complexity perspective when developing public health guidelines. Bulletin of the World Health Organization, 97(4), 247. Rehfuess, E. A., Stratil, J. M., Scheel, I. B., Portela, A., Norris, S. L., and Baltussen, R. (2019). The WHO-INTEGRATE evidence to decision framework version 1.0: integrating WHO norms and values and a complexity perspective. BMJ Global Health, 4(Suppl 1), e000844. Sakka, A., Bosetti, G., Grigera, J., Camilleri, G., Fernández, A., Zaraté, P., ... and Sautot, L. (2019). UX Challenges in GDSS: An Experience Report. In International Conference on Group Decision and Negotiation (pp. 67-79). Springer, Cham. Shearer, F. M., Moss, R., McVernon, J., Ross, J. V., and McCaw, J. M. (2020). Infectious disease pandemic planning and response: Incorporating decision analysis. PLoS Medicine, 17(1). Squazzoni, F., Polhill, J. G., Edmonds, B., Ahrweiler, P., Antosz, P., Scholz, G., ... and Gilbert, N. (2020). Computational models that matter during a global pandemic outbreak: A call to action. Journal of Artificial Societies and Social Simulation, 23(2). WHO (2009). WHO Guide to identifying the Economic Consequences of Disease and Injury. Department of Health Systems Financing Health Systems and Services, World Health Organization, Geneva, Switzerland. Xu, X. H., Du, Z. J., and Chen, X. H. (2015). Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions. Decision Support Systems, 79, 150-160. Zaraté, P., Konate, J. and Camilleri, G. (2013) Collaborative Decision Making Tools: A Comparative Study Based on Functionalities. (2013) In: 13th International Conference Group Decision and Negotiation (GDN 2013), 17-21 June, Stockholm, Sweden. OBJECTIVE OF THE SPECIAL ISSUE: This special issue pursues to advance group decision-making methods and tools to meet severe health, economic, and social challenges that emerged from the Covid-19 pandemic crisis in this decade. High-quality conceptual and empirical research papers are invited from the international interdisciplinary scientific community interested in helping to provide better group decision-making support to policymakers in the context of a pandemic crisis. RECOMMENDED TOPICS: Topics to be addressed in this special issue include (but are not limited to) the following ones: • Conceptual analysis of the WHO-INTEGRATE Evidence to Decision Framework with a group decision-making perspective. • Conceptual group decision-making methods derived from the WHO-INTEGRATE Evidence to Decision Framework. • Empirical designs and evaluations of GDMSS tools derived from the WHO-INTEGRATE Evidence to Decision Framework. • Systems science methods applied in group decision-making methods and tools in the context of pandemic crisis. • Descriptive Analytics applied in group decision-making methods and tools in the context of a pandemic crisis. • Predictive Analytics applied in group decision-making methods and tools in the context of a pandemic crisis. • Prescriptive Analytics applied in group decision-making methods and tools in the context of a pandemic crisis. • Efficient, effective, and usable MADM methods for enhancing GDMSS. • System Science methods (System Dynamics, Agent-based Simulation, and Network Analysis) for enhancing GDMSS. SUBMISSION PROCEDURE: Researchers and practitioners are invited to submit papers for this special theme issue on Group Decision-Making Support Systems for Pandemic Crises on or before December 15, 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL'S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. PUBLICATION SCHEDULE: · first submission deadline - December 15, 2020 · first editorial decision deadline - February 15, 2021 · second version submission deadline (conditioned papers) - March 15, 2021 · definitive editorial decision deadline - April 15, 2021 · camera-ready paper submission deadline - May 15, 2021 All inquires and paper submission should be directed to the attention of: Prof. Manuel Mora – lead guest editor International Journal of Decision Support Technology (IJDSST) E-mail: jose.mora(a)edu.uaa.mx<mailto:jose.mora@edu.uaa.mx> Guest Editors: Prof. Manuel Mora, Autonomous University of Aguascalientes, Mexico Prof. Gloria Phillips-Wren, Loyola University Maryland, USA Prof. Jorge Marx Gomez, University of Oldenburg, Germany Prof. Fen Wang, Central Washington University, USA ------------------------------------------------------------ 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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Fwd: [WI] CfP: CIFMA 2020 - 2nd International Workshop on Cognition: Interdisciplinary Foundations, Models and Applications
by Gustaf Neumann 01 Jun '20

01 Jun '20

-------- Forwarded Message -------- Subject: [WI] CfP: CIFMA 2020 - 2nd International Workshop on Cognition: Interdisciplinary Foundations, Models and Applications Date: Mon, 1 Jun 2020 10:47:47 +0600 From: Antonio Cerone <antonio.cerone(a)nu.edu.kz> Reply-To: Antonio Cerone <antonio.cerone(a)nu.edu.kz> To: wi(a)lists.kit.edu CC: Graziani, Pierluigi <pierluigi.graziani(a)uniurb.it> [Apologies for cross-posting] ----------------------------------------------------------------------------------- Call for Papers ============ CIFMA 2020 ============ =================================================================================== 2nd International Workshop on Cognition: Interdisciplinary Foundations, Models and Applications Amsterdam, The Netherlands, 14 September 2020 https://cifma.github.io Co-located with SEFM 2020 =================================================================================== CIFMA 2020 WILL BE AN ENTIRELY VIRTUAL EVENT Because of the COVID-19 pandemic, following the decision taken by the SEFM 2020 organisers, also CIFMA 2020 will not take place physically but will be replaced by a virtual event. As usual, CIFMA 2020 accepted contributions will be included in the LNCS post-proceedings and all accepted papers will have to be presented at the virtual conference in order to be included in the LNCS volume. How the virtual conference will be organised is still under consideration, e.g., live presentations and/or recorded ones. ----------------------------------------------------------------------------------- IMPORTANT DATES Submission link:https://easychair.org/conferences/?conf=cifma2020 Paper Abstract Submission deadline: Wednesday 8 July 2020 Paper Submission deadline: Wednesday 15 July 2020 Accept/Reject Notification: Wednesday 26 August 2020 Pre-proceedings Final version due: Monday 7 September 2020 ----------------------------------------------------------------------------------- Cognition encompasses many aspects of intellectual functions and processes such as attention, knowledge, memory, judgment, reasoning, problem solving, decision making, comprehension and production of language. Although it originated from the field of psychology, it goes beyond the individual human mind and behaviour, and involves and affects the interaction with the environment in which humans act. The increasing complexity of the environment with which humans interact is no longer restricted to their natural living environment and the other humans populating it, but includes a large technological support consisting of physical and computational systems, virtual worlds and robots. This fact has expanded the scope of studying cognition to a large number of disciplines well beyond psychology. Cognitive processes are analysed from different perspectives within different contexts, notably in the fields of linguistics, anesthesia, neuroscience, psychiatry, psychology, education, philosophy, anthropology, biology, systemics, logic, and computer science. These and other different approaches to the analysis of cognition are synthesised in the developing field of cognitive science, a progressively autonomous academic discipline. The objectives of this new international workshop are: 1. to bring together practitioners and researchers from academia, industry and research institutions who are interested in the foundations and applications of cognition from the perspective of their areas of expertise and aim at a synergistic effort in integrating approaches from different areas; 2. to nurture cooperation among researchers from different areas and establish concrete collaborations; 3. to present formal methods to cognitive scientists as a general modelling and analysis approach, whose effectiveness goes well beyond its application to computer science and software engineering. ----------------------------------------------------------------------------------- KEYNOTE SPEAKER ----------------------------------------------------------------------------------- Johan van Benthem Institute for Logic, Language and Computation (ILLC), University of Amsterdam Amsterdam, The Netherlands ----------------------------------------------------------------------------------- SUBMISSION GUIDELINES ----------------------------------------------------------------------------------- Authors are invited to submit, via Easychair, research contributions or experience reports. The submission link is:https://easychair.org/conferences/?conf=cifma2020 All papers should be written in English and prepared using the specific LNCS templates available athttp://www.springer.de/comp/lncs/authors.html. Submissions are required to report on original, unpublished work and should not be submitted simultaneously for publication elsewhere. There are six categories of submissions * Research papers: to present original research and the analysis, interpretation and validation of the research findings. * Position papers: to present innovative, arguable ideas, opinions or frameworks which are likely to foster discussion at the workshop. * Interdisciplinary Project papers: To describe a new interdisciplinary research project, or the status of an ongoing project or the outcomes of a recently completed project. * Case Study papers: to report on case studies, preferably in a real-world setting. * Tool papers: to present a new tool, a new tool component or novel extensions to an existing tool. * Tool Demonstration papers: to demonstrate the tool workflow(s) and human interaction aspects, and evaluate the overall role of the tool and impact on cognitive science. Contributions will be in the form of - Regular papers: between 12 and 15 pages for submission (and between 12 and 16 pages for post-proceedings camera-ready). - Short papers: between 6 and 8 pages for submission (and between 6 and 9 pages for post-proceedings camera-ready). - Presentations: extended abstract up to 4 pages, which will be included in the pre-proceeding but not published in the post-proceedings. "Short papers" and "Presentations" can discuss new ideas which are at an early stage of development and which have not yet been thoroughly evaluated. The program committee may reject papers that are outside these lengths on the grounds of length alone. Submitted papers will be refereed for quality, correctness, originality and relevance. Notification and reviews will be communicated via email. Accepted papers (both Full papers and Short papers) will be included in the workshop programme and will appear in the workshop pre-proceedings as well as in the LNCS post-proceedings. Pre-proceedings will be available online before the Workshop. ----------------------------------------------------------------------------------- LIST OF TOPICS ----------------------------------------------------------------------------------- Contributions to the workshop cover the areas of education, research and technology, either in general or with a focus on formal methods. Topics are organised in possibly overlapping categories and include, but are not restricted to: * Interdisciplinary Foundations of Cognition: - philosophy of cognition - human memory and memory processes - attention - perception, visual cognition and situated cognition - cognitive models and architectures - languages for cognitive science - social cognition * Cognitive Robotics: - autonomous knowledge acquisition - motor babbling - learning by imitation - cognitive architectures for robotics * Cognitive Linguistics: - cognitive approaches to grammar - cognitive and conceptual semantics - conceptual organisation - cognitive phonology - dynamical models of language acquisition - computational models of metaphor and language acquisition * Cognitive Learning: - learning theories - cognitive development - problem solving - metacognition * Cognitive Neuroscience and Medicine: - biomedical signal and image processing - biomedical sensors and wearable systems - brain-computer interfaces and neural prostheses - brain mapping - neural and rehabilitation engineering * Logics and their application to: - human-computer interaction - human behaviour - human reasoning and problem solving - visual reasoning - human-robot interaction - linguistics * Software Engineering and Formal Methods: - integration of cognitive models and cognitive architectures within the software design and verification process - cognitive aspects in cyber-physical systems and their verification - socio-technical systems - cognitive aspects in safety analysis and verification of safety-critical systems - cognitive security - cognition hacking - formal frameworks for trust reasoning - formal methods for the modeling and analysis of robotic systems - formal methods for the modeling and analysis of human behaviour - formal methods for the modeling and analysis of human interaction with computers and robots - application of formal methods to cognitive psychology ----------------------------------------------------------------------------------- PROGRAM CO-CHAIRS ----------------------------------------------------------------------------------- Pierluigi Graziani, Department of Pure and Applied Sciences, University of Urbino, Italy Pedro Quaresma, Department of Mathematics, University of Coimbra, Portugal ----------------------------------------------------------------------------------- PROGRAM COMMITTEE (provisonal) ----------------------------------------------------------------------------------- Samuel Alexander, The U.S. Securities and Exchange Commission New York Regional Office, USA Oana Andrei, University of Glasgow, UK José Creissac Campos, University of Minho, Portugal Antonio Cerone, Nazarbayev University, Kazakhstan Peter Chapman, Edinburgh Napier University, UK Luisa Damiano, University of Messina, Italy Anke Dittmar, Universität Rostock, Germany Pierluigi Graziani, University of Urbino, Italy Yannis Haralambous, IMT Atlantique, France Reinhard Kahle, NOVA University Lisbon, Portugal Karl Reiner Lermer, Zurich University of Applied Sciences, Switzerland Kathy Malone, Nazarbayev University, Kazakhstan Paolo Masci, National Institute of Aerospace, USA Paolo Milazzo, University of Pisa, Italy Henry Muccini, University of L’Aquila, Italy Eugenio Omodeo, University of Trieste, Italy Graham Pluck, Nazarbayev University, Kazakhstan Giuseppe Primiero, University of Milan, Italy Ka I Pun, Western Norway University of Applied Sciences, Norway Pedro Quaresma, University of Coimbra, Portugal Anara Sandygulova, Nazarbayev University, Kazakhstan Giuseppe Sergioli, University of Cagliari, Italy Sandro Sozzo, University of Leicester, UK Mirko Tagliaferri, University of Urbino, Italy ----------------------------------------------------------------------------------- PUBLICATION ----------------------------------------------------------------------------------- Accepted regular and short papers will be published after the Workshop by Springer in a volume of Lecture Notes in Computer Science (http://www.springer.com/lncs), which will collect contributions to some workshops co-located with SEFM 2020. Condition for inclusion in the post-proceedings is that at least one of the co-authors has presented the paper at the Workshop. One or more journal special issue(s) with selected papers may be planned, depending on the number and quality of submissions. ----------------------------------------------------------------------------------- CONTACT ----------------------------------------------------------------------------------- All inquiries concerning CIFMA 2020 submissions and scientific programme should be sent tocifma2020(a)easychair.org <mailto:cifma2020@easychair.org> -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: Conference invitation to Neumann, Gustaf - Oct. 2020, Seoul, Republic of Korea
by Gustaf Neumann 01 Jun '20

01 Jun '20

-------- Forwarded Message -------- Subject: Conference invitation to Neumann, Gustaf - Oct. 2020, Seoul, Republic of Korea Date: Mon, 01 Jun 2020 04:52:29 +0000 (UTC) From: info(a)machinelearningconf.org Reply-To: Senlin Yan <info(a)machinelearningconf.org> To: gustaf.neumann(a)wu-wien.ac.at Dear Dr. Neumann, Gustaf, Hope this letter finds you and your families all the best! I am writing from the 2nd International Conference on Machine Learning and Intelligent Systems (MLIS2020) with reference to your outstanding research "From a social wiki to a social workflow system" This paper presents an approach for using wikis in an organizational context and a proto-type implementation for developing a wiki-based workflow system. We provide general considerations and requirements for changing a wiki's application context from public to organizational and will describe consequences for wiki architecture and policy management. The presented workflow system is based on an open-source wiki tool and is targeted at collaborative workflow design and activity management. © 2009 Springer Berlin Heidelberg. We cordially invite you to share your recent researches at MLIS2020, to be held from October 25 to 28, 2020 in Seoul, Republic of Korea. If you are not available for attendance, could you help us review one or two papers? Active reviewers are candidates for Technical Program Committee next year. If you are interested, please send your CV to us or inform us of your research interests. It is highly appreciated if you kindly forward this conference information to your colleagues and friends in this field. Note: If you are not able to attend personally after registration due to COVID-19, registration fee will be refunded. You are also warmly welcome to give a Video Presentation (recorded in advance) if available. For more information, please visit http://www.machinelearningconf.org/ Best regards, Senlin Yan Conference Secretary

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Fwd: [AISWorld] 3rd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications
by Gustaf Neumann 01 Jun '20

01 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] 3rd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications Date: Mon, 1 Jun 2020 14:21:32 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org, cmoyer(a)igi-global.com, Sally Firmin <s.firmin(a)federation.edu.au> 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 May 30, 2020. Authors of the accepted proposals will be notified and provided with detailed guidelines. Full chapters are to be submitted by June 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 * June 30, 2020: Proposal Submission Deadline * July 05, 2020: Notification of Acceptance * July 30, 2020: Full Chapter Submission * August 25, 2020: Review Results Returned * August 26, 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] CFP: ICSNC 2020, Special track: AI-5GaaS
by Gustaf Neumann 01 Jun '20

01 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: ICSNC 2020, Special track: AI-5GaaS Date: Sun, 31 May 2020 20:19:54 +0300 From: Müge Erel-Özçevik <mugeerelozcevik(a)gmail.com> To: aisworld(a)lists.aisnet.org *Call for Contributions* *Note: Onsite and Online Options * In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation. We would be delighted if all authors manage to attend in person, but are aware that special circumstances are best handled by having flexible options. *Submission:* * 1. Inform the Chairs:* with the Title of your Contribution *2. Submission URL: * https://www.iariasubmit.org/conferences/submit/newcontribution.php?event=IC… Please select Track Preference as *AI-5GaaS * *Special track * *AI-5GaaS: Artificial Intelligence based 5G as a Service * *Chairs and Coordinators * Assist. Prof. Dr. Muge Erel-Ozcevik, Manisa Celal Bayar University, Turkey *erelmu(a)itu.edu.tr <erelmu(a)itu.edu.tr>, muge.ozcevik(a)cbu.edu.tr <muge.ozcevik(a)cbu.edu.tr>* Assist. Prof. Dr. Gokhan Secinti, Istanbul Technical University, Turkey *secinti(a)itu.edu.tr <secinti(a)itu.edu.tr> * *along with * *ICSNC 2020**, *The Fifteenth International Conference on Systems and Networks Communications October 18, 2020 to October 22, 2020 - Porto, Portugal https://www.iaria.org/conferences2020/ICSNC20.html Unprecedented expansion of cloud services offering Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) paves the way for the virtualization of entire 5G-capable hardware and software stacks; thus, leading the emergence of 5G as a service (5GaaS). It enables on-demand service deployment, while mitigating the risks of physical installation, lowering operational and capital expenditures (OPEX/CAPEX), aggregating the service providers and customers' requirements on the same platform. On the other hand, Content Delivery Networks (CDN) play a key role in the management of 5GaaS subscribers and their contents, where the applications define unique 5G requirements raised by novel trafic types, such as: enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency (URLLC), and massive Machine Transmission Communication (mMTC). Various bandwidth and latency requirements of these service types force CDN to benefit from the technologies such as Edge/Fog computation in order to sustain ever- complicating network management, revolutionizing the heterogeneous orchestration of the entire infrastructure spanning from server deployment, to network access. Under this expanding heterogeneity, the most feasible way to meet 5G requirements is to design an intelligent network management on 5G physical infrastructure. According to service providers, dynamic configuration and intelligent self-management for CDN can be only handled by Software Defined Networks (SDN). They believe that SDN proposes inexpensive network feature insertion thanks to a global view on the network and programming the network devices dynamically without any intervention on the physical plane. It enables flexible, scalable, and self-manageable virtual network slices to the customers according to Service Level Agreements (SLA). Both global management and network programmability features of SDN enable us to design and integrate novel techniques on 5G networks such as Artificial Intelligence (AI). In the recent years, AI is one of the most rapidly growing fields, finding new application domains with new and unique challenges everyday. This drastically changes the way the researchers/engineers used to approach to optimization processes. AI is broadly categorized into three main subsets such as Machine Learning (ML), Meta-Heuristics, and Fuzzy Inference Systems. Utilizing these tools, the following candidate applications for 5GaaS may only describe the tip of the iceberg. A technique executing ML uses the statistics collected from 5G physical plane periodically and performs supervised and/or unsupervised learning such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), Decision Trees (DT), K-means clustering, Hidden Markov Model (HMM), etc. A technique executing Meta-Heuristics algorithms solves hard optimization problems that cannot be executed within a reasonable time such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Simulated Annealing (SA), etc. A technique depending on Fuzzy logic has an advantage in representing customer experience and their explanation abilities. To this end, AI-5GaaS aims to improve the experience of customers and their service providers in 5G networks by serving AI-based techniques as a service to handle reduced OPEX/CAPEX. Therefore, this special issue aims to bring together talented researchers in the field and state-of-art designs and techniques to shape the future of 5G. *Potential topics include, but are not limited to:* 1. Meta-heuristics for AI based 5G networks; 2. Fuzzy inference systems for AI based 5G networks; 3. Cloud-Fog-Edge computing mechanisms; 4. AI-based mobility management; 5. SDN/NFV for autonomous network management; 6. CDN solutions for next generation networks; 7. Application areas for 5GaaS; 8. Security and Privacy issues for 5GaaS; 9. Testbeds, applications, case studies for 5GaaS; 10. APIS, new protocols and programming languages for 5GaaS *Important Datelines * Inform the Chairs (see Contacts below): as soon as you decide to contribute Submission: August 24 Notification: September 13 Registration: September 23 Camera-ready: September 23 *Contribution Types:* - Regular papers [in the proceedings, digital library] - Short papers (work in progress) [in the proceedings, digital library] - Posters: two pages [in the proceedings, digital library] - Posters: slide only [slide-deck posted on www.iaria.org] - Presentations: slide only [slide-deck posted on www.iaria.org] - Demos: two pages [posted on www.iaria.org] *Paper Format * - See: http://www.iaria.org/format.html - Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html *Publications * - Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org/ - Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html - Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org/ *Paper Submission * https://www.iariasubmit.org/conferences/submit/newcontribution.php?event=IC… Please select Track Preference as *AI-5GaaS * *Registration * - Each accepted paper needs at least one full registration, before the camera-ready manuscript can be included in the proceedings. - Registration fees are available at http://www.iaria.org/registration.html *Contacts * *Chairs* Muge Erel-Ozcevik: erelmu(a)itu.edu.tr, muge.ozcevik(a)cbu.edu.tr Gokhan Secinti: secinti(a)itu.edu.tr ICSNC Logistics: steve(a)iaria.org _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] [CFP] 1st Workshop on Cyber Forensics and Advanced Threat Investigations
by Gustaf Neumann 31 May '20

31 May '20

-------- Forwarded Message -------- Subject: [WI] [CFP] 1st Workshop on Cyber Forensics and Advanced Threat Investigations Date: Fri, 29 May 2020 17:43:42 +0100 From: CiberSeguridad UK <scholarshipchile(a)gmail.com> Reply-To: CiberSeguridad UK <scholarshipchile(a)gmail.com> To: wi(a)lists.kit.edu 1st International Workshop on Cyber Forensics and Advanced Threat Investigations in Emerging Networks (CFATI 2020) https://cfati.conceptechint.net/index.html in conjunction with EUSPN-2020 conference Nov 2 - 5, 2020 , Madeira, Portugal Important dates Paper Submission: 30th June, 2020 Acceptance Notification: 22nd Aug, 2020 Final Manuscript Due: 30th Aug, 2020 Scope of the workshop: The evolve of networked technologies, such as the internet of things and cyber-physical systems, possess challenges base on the highly limited capabilities of their infrastructure devices and the type of data that can be processed by these devices. Complicated efforts are required in suitable and timely manners against any detected threats. Moreover, new frameworks are required to collect and preserve potential evidential data in suitable and timely manners as well. To guarantee proper cyber-defenses and strategies against the expanding landscape of criminal activities as well as rapidly advancing network technologies such as SDN or 5G and 6G. There is a growing need for new methodologies, tools, and techniques, capable of extracting, preserving, and analyzing different evidence trails in various networked services and devices such as routers, firewalls, web proxies, and network monitoring tools. Additionally, there is also a growing need for research in new systems that are capable of analyzing network traffic, netflows, and systems logs. Satisfying these demands will aid in reconstructing the timeline of the cyber-crime/attack under investigation and, possibly, the identification of the potential actor(s). The main motivation for this Workshop is to bring together researchers and practitioners working on cyber forensics and threat investigations for emerging networks to disseminate current research issues and advances. Original technical papers describing new, state-of-the-art research, will be considered. The Workshop welcomes submissions that evaluate existing research results by reproducing experiments. The aim of this workshop is to provide insight for the discussion of the major research challenges and achievements on various topics of interest. CFATI 2020 will be held in conjunction with the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) which is co-organized on November 2-5, 2020, Madeira, Portugal. Papers on practical as well as on theoretical topics and problems in various topics related to cyber forensics and threat investigations are invited, with special emphasis on novel techniques and tools to collect data from networked devices and services in emerging networks (such as the ones can be found in cyber-physical systems and Internet of things). Topics include (but are not limited to): · Advanced threat investigations, forensic and anti-forensic techniques · Cooperative and distributed forensics and threat investigations · Data exfiltration techniques from networked devices and services (e.g. cyber-physical systems, and Internet-of-Things) · Attack detection, traceback, and attribution in SDN, 5G, and 6G · Methods for reconstruction of internet activities in SDN, 5G, and 6G · Forensics and threat investigations in IoT · Forensics and threat investigations in peer-to-peer, social, and cloud networks · Vulnerability & threat detection and mitigation techniques for networked services · Novel large-scale investigations techniques to analyze intelligence data sets and logs · Tools and services for cyber forensics and threat investigations · VoIP forensics, VoIPoW forensics We also encourage contributions describing innovative work in the realm of cybersecurity, cyber defense, and digital crimes. SUBMISSION AND PROCEEDINGS All papers accepted for workshops will be included in the EUSPN 2020 proceedings, which will be published by Elsevier. The authors must follow Elsevier guidelines as given on the EUSPN 2020 website. The number of pages for workshop papers is limited to 6 pages https://cfati.conceptechint.net/submissions.html Paper format The submitted paper must be formatted according to the guidelines of Procedia Computer Science, MS Word Template, Latex, Template Generic, Elsevier. Submission Authors should submit their contributions here, electronically in PDF format. https://easychair.org/conferences/?conf=cfati2020 The submission processes will be managed by easychair.org <http://easychair.org>. If you have used this system before, you can use the same username and password. If this is your first time using EasyChair, you will need to register for an account by clicking the "I have no EasyChair account" button. Upon completion of registration, you will get a notification email from the system and you are ready for submitting your paper. You can upload and re-upload the paper to the system by the submission due date. In case of any problem with submission, please contact the workshop chair for assistance https://cfati.conceptechint.net/contact-us.html Selective outstanding papers Selected papers presented at the workshop, after further revision, will have the opportunity to be published in special issues in indexed and/or high impact factor journals (details will be put online shortly). All workshops accepted papers will be printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series (online). Procedia Computer Sciences is hosted on www.elsevier.com <http://www.elsevier.com> and on Elsevier content platform ScienceDirect, and will be freely available worldwide. All papers in Procedia will also be indexed by Scopus and Engineering Village (Ei). This includes EI Compendex. All accepted papers will also be indexed in DBLP. If you have any further questions, please contact the workshop organizers via https://cfati.conceptechint.net/contact-us.html -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [AISWorld] 8th Int. Workshop on DEClarative, DECision and Hybrid approaches to processes (DEC2H): Deadline extended!
by Gustaf Neumann 31 May '20

31 May '20

-------- Forwarded Message -------- Subject: [AISWorld] 8th Int. Workshop on DEClarative, DECision and Hybrid approaches to processes (DEC2H): Deadline extended! Date: Fri, 29 May 2020 17:17:26 +0200 From: Claudio Di Ciccio <claudio.diciccio(a)uniroma1.it> To: aisworld(a)lists.aisnet.org ******************************************************************************** Call for Papers DEC2H 2020 8th International Workshop on DEClarative, DECision and Hybrid approaches to processes 14 September 2020 Co-located with the 18th Int. Conference on Business Process Management (BPM) http://dec2h-2020.di.uniroma1.it/ ******************************************************************************** Due to the consequences of the COVID-19 pandemic, it has been decided that BPM 2020 will be a fully virtual conference. The same will apply to the DEC2H workshop. Further details will follow as we get nearer to the workshop date. ******************************************************************************** In this workshop, we are interested in the application and challenges of decision-based, rule-based and hybrid modelling in all phases of the BPM lifecycle (identification, discovery, analysis, redesign, implementation and monitoring). Important Dates -------------------------- - Abstract submission (optional) deadline: June 5, 2020 (extended!) - Papers submission deadline: June 12, 2020 (extended!) - Notification: June 29, 2020 - Camera-ready deadline: July 13, 2020 - Workshop: September 14, 2020 Scope -------------------------- Processes and business process models involve rules and decisions describing the premises and possible outcomes of specific situations. However, important though they are, rules and decisions are often hidden in process flows, process activities or in the head of employees (tacit knowledge), so that they need to be discovered using state-of-art intelligent techniques. For knowledge-intensive processes it is common that rules and decisions, as opposed to the process-flow, define the allowed behaviour of a process. E.g., the major purpose of an insurance claim process is to ensure that the rules governing the claim are being followed and to arrive at a final decision. While traditional imperative notations such as BPMN excel at describing “happy paths”, they turn out to be rather inadequate for modelling rules and decisions. Imperative notations indeed tend to describe possible behaviour as alternative, restricted flows. But encompassing all possible variations makes imperative models cluttered and thus impractical in highly flexible scenarios. Against this background, a new declarative modelling paradigm has been proposed that aims to directly capture the business rules or constraints underlying the process. The approach has gained momentum in recent years, and several declarative notations have been developed such as Declare, DCR Graphs, DMN, GSM and eCRG. Lately, there has been a rapidly growing interest in hybrid approaches, which combine the strengths of different modelling paradigms. In this workshop, we are interested in the application and challenges of decision- and rule-based modelling in all phases of the BPM lifecycle (identification, discovery, analysis, redesign, implementation and monitoring). The purpose of the workshop is, therefore: - To examine the relationship between rules, decisions and processes, including models; not only to model the process but also to model the rules and decisions. - To enhance rule and decision mining based on process data (e.g. event logs) - To examine decision goals, structures, and their connection with business processes, in order to find a good integration between rule- and decision-based modelling and flow-based modelling. - To examine standards (DMN, CMMN, BPMN) and their integration. - To study how different process models can be designed to fit a decision process, according to various optimization criteria, such as throughput time, use of resources, etc. - To study the integration between different modelling paradigms. - To show best practices in separating process, rule and decision concerns. Topics of interest -------------------------- Topics of interest include, but are not limited to: Declarative and hybrid (process modelling) approaches - Declarative notations (Declare, DCR Graphs, GSM, eCRG, ...) - Decision & goal notations (DMN, PDM, ...) - Case management notations (CMMN, ...) - Hybrid notations - Declarative and hybrid modelling methodologies - Process metrics - Process maintenance and flexibility - Human-centred and flexible processes - Decision rules and processes - Decision models and structures - Formal analysis (e.g. expressiveness proofs) of declarative and hybrid notations - Formal verification (e.g. model-checking and static analysis) of declarative and hybrid models - Run-time adaptation of declarative and hybrid process models Decision mining and declarative/hybrid process mining - Decision mining - Declarative process mining - Hybrid process mining - Data mining for decision and declarative/hybrid process analysis - Rule mining for decision and declarative/hybrid process analysis Applications of decision- and rule-modelling in BPM - Goal-driven processes - Knowledge-intensive processes - Business process compliance - Knowledge workflow management - Usability and understandability studies - Case studies - Tools Format of the Workshop -------------------------- The workshop will begin with a keynote, followed by presentations of accepted papers. Full papers have 20 minutes for their presentations and 10 minutes for discussion and Q&A. Short papers have 15 + 5 minutes. At the end of the workshop, there will be a closing panel discussion. Each manuscript will be reviewed by at least three program committee members guaranteeing that only papers presenting high-quality work and innovative research in areas relevant to the workshop theme will be accepted. All accepted papers will appear in the workshop proceedings published by Springer in the Lecture Notes in Business Information Processing (LNBIP) series. There will be a single LNBIP volume dedicated to the proceedings of all BPM workshops. All accepted papers will appear in the workshop proceedings. They will be distributed electronically on USB sticks. The post-proceedings will be published by Springer in the Lecture Notes in Business Information Processing (LNBIP) series, in a single volume dedicated to the proceedings of all BPM workshops. During a time window after the conference, the workshop participants will be granted the free download of the papers. Submission -------------------------- We are interested in research, work-in-progress, position, case-study and tool papers, either in long (not exceeding 12 pages) or short (not exceeding 6 pages) format. Only papers in English will be considered. Submitted papers must present original research contributions not concurrently submitted elsewhere. Authors are requested to prepare submissions according to the LNBIP format specified by Springer (see the instructions [1] and the LaTeX-template[2]). The title page must contain a short abstract and a list of keywords, preferably using the list of topics given above. Papers must be submitted electronically via the EasyChair portal [3]. [1] https://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0 [2] ftp://ftp.springer.de/pub/tex/latex/lnbip/author.zip [3] https://easychair.org/conferences/?conf=bpm2020 Program Committee -------------------------- - Rafael Accorsi, PwC, Switzerland - Bart Baesens, KU Leuven, Belgium - Andrea Burattin, Technical University of Denmark, Denmark - Josep Carmona, Universitat Politècnica de Catalunya, Spain - João Costa Seco, Universidade Nova de Lisboa, Portugal - Massimiliano de Leoni, University of Padua, Italy - Johannes De Smedt, University of Edinburgh, United Kingdom - Jochen De Weerdt, KU Leuven, Belgium - Chiara Di Francescomarino, Fondazione Bruno Kessler, Italy - Rik Eshuis, Eindhoven University of Technology, The Netherlands - Robert Golan, DBmind Technologies Inc., United States - María Teresa Gómez-López, Universidad de Sevilla, Spain - Xunhua Guo, Tsinghua University, China - Thomas Hildebrandt, University of Copenhagen, Denmark - Amin Jalali, Stockholm University, Sweden - Krzysztof Kluza, AGH University of Science and Technology, Poland - Fabrizio M. Maggi, University of Tartu, Estonia - Andrea Marrella, Sapienza University of Rome, Italy - Marco Montali, Free University of Bozen-Bolzano, Italy - Artem Polyvyanyy, University of Melbourne, Australia - Hajo A. Reijers, Utrecht University, The Netherlands - Flavia M. Santoro, Universidade do Estado do Rio de Janeiro, Brazil - Stefan Schönig, Universität Regensburg, Germany - Lucinéia H. Thom, Universidade Federal do Rio Grande do Sul, Brazil - Han van der Aa, Humboldt University of Berlin, Germany - Wil M.P. van der Aalst, RWTH Aachen University, Germany - Barbara Weber, University of St. Gallen, Switzerland - Mathias Weske, Hasso Plattner Institute, University of Potsdam, Germany Organisers -------------------------- - Søren Debois, IT University of Copenhagen, Denmark - Claudio Di Ciccio, Sapienza University of Rome, Italy - Tijs Slaats, University of Copenhagen, Denmark - Jan Vanthienen, KU Leuven, Belgium Contacts -------------------------- Web: http://dec2h-2020.di.uniroma1.it/ Email: dec2h-2020(a)di.uniroma1.it -- *Il tuo 5 diventa 1000 - *Fai crescere la tua università - Dona il 5 per mille alla Sapienza Codice fiscale: *80209930587* https://www.uniroma1.it/it/pagina/fai-crescere-la-tua-universita-con-il-cin… <https://www.uniroma1.it/it/pagina/fai-crescere-la-tua-universita-con-il-cin…> -- ________________________________________________________ Le informazioni contenute in questo messaggio di posta elettronica sono strettamente riservate e indirizzate esclusivamente al destinatario. Si prega di non leggere, fare copia, inoltrare a terzi o conservare tale messaggio se non si è il legittimo destinatario dello stesso. Qualora tale messaggio sia stato ricevuto per errore, si prega di restituirlo al mittente e di cancellarlo permanentemente dal proprio computer. The information contained in this e mail message is strictly confidential and intended for the use of the addressee only. If you are not the intended recipient, please do not read, copy, forward or store it on your computer. If you have received the message in error, please forward it back to the sender and delete it permanently from your computer system. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CfP Informatik 2020: Workshop Hochschule 2030
by Gustaf Neumann 31 May '20

31 May '20

-------- Forwarded Message -------- Subject: [WI] CfP Informatik 2020: Workshop Hochschule 2030 Date: Fri, 29 May 2020 15:15:37 +0000 From: Auth, Gunnar - HSF <Gunnar.Auth(a)hsf.sachsen.de> Reply-To: Auth, Gunnar - HSF <Gunnar.Auth(a)hsf.sachsen.de> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> -------------------------------------------------------------------- Call for Papers -------------------------------------------------------------------- Workshop Hochschule 2030 im Rahmen der 50. GI Jahrestagung 28. September 2020 in Karlsruhe -------------------------------------------------------------------- https://www.cs.uni-potsdam.de/hochschule2030/ -------------------------------------------------------------------- *ALLES ONLINE ?!* Hochschule ist wie jeder andere Bereich des öffentlichen Lebens ohne Digitalität nicht mehr vorstellbar. Covid19 hat dieser schon länger andauernden Entwicklung einen neuen Schub verliehen. Der Rückblick erlaubt uns auch eine Einschätzung, welche zukünftigen Technologien und Organisationsformen die Kernprozesse unserer Hochschulen künftig verändern werden. Zum einen werden Technologien, auch durch wirtschaftliche Interessen getrieben, in immer engeren Innovationszyklen und kürzeren Laufzeiten mit Hochdruck zum Einsatz gebracht. Zum anderen werden eigene Forschungsleistungen in verschiedenen Bereichen einer Hochschule (bspw. Institute, Verwaltungsdezernate, IT-Service-Einrichtungen) umgesetzt und manifestieren damit die Dualität von Forschungsleistung und nutzbaren Services. Hinzu kommen neuartige Managementkonzepte und Organisationsmodelle zur Bewältigung dieser Veränderungen. In diesem Spannungsfeld des Innovationsmanagements soll aus unterschiedlichen Blickwinkeln untersucht werden, welche aktuellen Phänomene und Entwicklungen maßgeblich zur digitalen Transformation der Hochschulen beitragen. Das Verständnis dieser Entwicklungen eröffnet Gestaltungsoptionen für die Hochschule der Zukunft. Mittels konstruktiver Forschungsdesigns erarbeitete Modelle, Methoden oder Prototypen werden aus theoretischer und praktischer Sicht diskutiert und weiterentwickelt. Wir adressieren dabei sowohl Forschung und Studium & Lehre als primäre Geschäftsfelder der Hochschulen als auch unterstützende Verwaltungsprozesse. Themenbereiche, die im Rahmen des Workshops beleuchtet werden, umfassen die folgenden Aspekte, sind aber nicht auf diese beschränkt: • Weiterentwicklung und Optimierung des digitalen Campus • neue Szenarien und Formate des mediengestützten Lehrens und Lernens • Werkzeuge, Architekturen und Infrastrukturen für innovative Lehr-/Lernszenarien • digitale und virtualisierte Forschungsumgebungen • Einsatz digitaler Lösungen in der Hochschulverwaltung • Methoden zur IT-basierten Gestaltung und Verwaltung von Dienstportfolios • effiziente IT-gestützte Support-Strukturen • neue Organisationsformen für IT-Serviceeinrichtungen und darüber hinaus • zukunftsfähige Strategien für die kooperative IT-Versorgung für Hochschulen • Community-basierte Methoden im Innovationsmanagement Gesucht werden sowohl wissenschaftliche Beiträge auf Basis abgeschlossener Forschung als auch Work-in-Progress, Best-Practice-Beispiele und Studierendenbeiträge. *TERMINE* 13.07.20 Einreichung von Extended Abstracts 10.08.20 Benachrichtigung über die Annahme 07.09.20 Einreichung von Langfassungen 28.09.20 Workshop im Rahmen der GI-Jahrestagung 14.10.20 Abgabe der Endfassung für denTagungsband *EINREICHUNG VON BEITRÄGEN* Für den Workshop werden originäre Forschungs-, Entwicklungs- und Erfahrungsberichte zu den aufgeführten Themenbereichen erbeten. Die Workshop-Sprache ist deutsch. Die Beiträge sind im Format der GI-Lecture Notes in Informatics (LNI) anzufertigen: https://gi.de/service/publikationen/lni Begutachtet wird auf der Basis von Extended Abstracts im Umfang von 4 Seiten. Angenommene Beiträge sind als Langfassung von maximal 14 Seiten aufzubereiten. Nach dem Workshop wird die finale Fassung im gemeinsamen Tagungsband publiziert. Die Veröffentlichung setzt die Registrierung von mindestens einem Autor für die INFORMATIK 2020 voraus. Jeder angenommene Beitrag wird auf dem Workshop präsentiert. Bitte reichen Sie Ihren anonymisierten Beitrag (d.h. ohne erkennbare Namen von Autoren, Einrichtungen oder Projekten) als PDF-Datei über EasyChair ein: https://easychair.org/conferences/?conf=hs2030 Der Workshop findet wie auch die GI-Jahrestagung in diesem Jahr online statt. PROGRAM CO-CHAIRS Ulrike Lucke (Uni Potsdam) Markus von der Heyde (vdH-IT) Gunnar Auth (HSF Meißen) ORGANISATION Axel Wiepke (Uni Potsdam) -------------------------------------------------------------------- https://www.cs.uni-potsdam.de/hochschule2030/download/HS2030_CfP.pdf -------------------------------------------------------------------- -- Prof. Dr. Gunnar Auth Professur für Verwaltungsinformatik und E-Government ________________________________________________________________________ HOCHSCHULE MEISSEN (FH) UND FORTBILDUNGSZENTRUM Fachbereich Allgemeine Verwaltung Herbert-Böhme-Str. 11 | 01662 Meißen Tel.: +49 3521 473-915 | Fax: +49 3521 473-455 (Abt.) gunnar.auth(a)hsf.sachsen.de | www.hsf.sachsen.de Information zum Zugang für verschlüsselte/signierte E-Mails/elektronische Dokumente sowie De-Mail unter www.hsf.sachsen.de/kontakt MACH WAS WICHTIGES Arbeiten im Öffentlichen Dienst Sachsen -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [computational.science] Call-for-participation: Workshop on Hierarchical Parallelism for Exascale Computing
by Gustaf Neumann 31 May '20

31 May '20

-------- Forwarded Message -------- Subject: [computational.science] Call-for-participation: Workshop on Hierarchical Parallelism for Exascale Computing Date: Fri, 29 May 2020 14:41:20 +0000 From: Rizzi, Francesco NMN via computational.science <computational.science(a)lists.iccsa.org> Reply-To: Rizzi, Francesco NMN <fnrizzi(a)sandia.gov> ******************************************************************** Call for Participation Workshop on Hierarchical Parallelism for Exascale Computing ---HiPar20--- Held in conjunction with SC20, Atlanta, GA. In cooperation with: IEEE and TCHPC. www.hipar.net ******************************************************************** ================================ Summary ================================ High Performance Computing (HPC) platforms are evolving towards having fewer but more powerful nodes, driven by the increasing number of physical cores in multiple sockets and accelerators. The boundary between nodes and networks is starting to blur, with some nodes now containing tens of compute elements and memory sub-systems connected via a memory fabric. The immediate consequence is an increase in complexity due to ever more complex architectures (e.g., memory hierarchies), novel accelerator designs, and energy constraints. Spurred largely by this trend, hierarchical parallelism is gaining momentum. This approach embraces, rather than avoiding, the intrinsic complexity of current and future HPC systems by exploiting parallelism at all levels: compute, memory and network. This workshop focuses on hierarchical parallelism. It aims to bring together application, hardware, and software practitioners proposing new strategies to fully exploit computational hierarchies, and examples to illustrate their benefits to achieve extreme scale parallelism. ================================ Scope and Aims ================================ HiPar20 is designed to showcase new studies, approaches, and cutting-edge ideas on hierarchical parallelism for extreme-scale computing. We welcome papers and talks from the HPC community addressing the use of emerging architectures — focusing particularly on those characterized by fewer but more powerful nodes as well as systems with hierarchical network with tiered communication semantics. Specifically, the emphasis is on the design, implementation, and application of programming models for multi-level parallelism, including abstractions for hierarchical memory access, heterogeneity, multi-threading, vectorization, and energy efficiency, as well as scalability and performance studies thereof. Of particular interest are models addressing these concerns portably: providing ease of programming and maintaining performance in the presence of varied accelerators, hardware configurations, and execution models. Studies that explore the merits of specific approaches to addressing these concerns, such as generic programming or domain specific languages, are also in scope. The workshop is not limited to the traditional HPC software community. As one example, another key topic is the use of hierarchical parallelism in dealing with the challenges arising in machine learning due to the growing importance of this field, the large scale of systems tackled in that area, and the increasing interest from more traditional HPC areas. A goal of HiPar20 is to highlight not just success stories but also discuss drawbacks and challenges. HiPar20 welcomes HPC practitioners from all areas, ranging from hardware and compiler experts to algorithms and software developers, to present and discuss the state of the art in emerging approaches to utilize multi-level parallelism for extreme scale computing. ================================ Topics ================================ Submissions are encouraged in, but not limited to the following areas: * Hierarchical work scheduling and execution; * Hardware, software, and algorithmic advances for efficient use of memory hierarchies, multi-threading and vectorization; * Efficient use of nested parallelism, for example CUDA dynamic parallelism, for large scale simulations; * Programming heterogeneous nodes; * Leading-edge programming models, for example fully distributed task-based models and hybrid MPI+X, with X representing shared memory parallelism via threads, vectorization, tasking or parallel loop constructs. * Implementations of algorithms that are natural fits for nested work (for example approaches that use recursion); * Challenges and successes in managing computing hierarchies; * Examples demonstrating effective use of the combination of inter-node and intra-node parallelism; * Novel approaches leveraging asynchronous execution to maximize efficiency; * Challenges and successes of porting of existing applications to many-core and heterogeneous platforms; * Recent developments in compiler optimizations for emerging architectures; * Applications of hierarchical programming models from emerging AI fields, for example deep learning and extreme-scale data analytics. ================================ Submission Guidelines ================================ We solicit submissions in the following categories: (a) Regular research papers: Intended for submissions describing original work and ideas that have not appeared in another conference or journal, and are not currently under review for any other conference or journal. Regular papers must be at least (6) and must not exceed (10) letter size pages (U.S. letter – 8.5"x11"). Accepted regular papers will be published in the workshop proceedings in cooperation with IEEE TCHPC. (b) Short papers: Intended for material that is not mature enough for a full paper, to present novel, interesting ideas or preliminary results that will be formally submitted elsewhere. Short papers must not exceed four (4) pages. Short papers will NOT be included in the proceedings. Please note that: - The page limits above only apply to the core text, content-related appendices, and figures. References and reproducibility appendix do not count against the page limit. - When deciding between submissions with comparable evaluations, priority will be given to those with higher quality of presentation and whose focus relates more directly to the workshop themes. - Papers must be submitted electronically at https://submissions.supercomputing.org/ and must follow the IEEE format: www.ieee.org/conferences/publishing/templates.html ================================ Reproducibility Initiative ================================ HiPar20 follows the SC20 reproducibility and transparency initiative. The SC20 details can be found at: https://sc20.supercomputing.org/submit/transparency-reproducibility-initiat…. HiPar20 requires all submission to include an Artifact Description (AD) Appendix. Note that the AD will be auto-generated from author responses to a form embedded in the online submission system. The Artifact Evaluation (AE) remains optional. We also encourage authors to follow the transparency initiative for two reasons: (a) it helps the authors themselves with the actual writing and structuring of the paper to express the research process; (b) it helps readers understand the thinking process used by the authors to plan, obtain and explain their results. ================================ Coronavirus and HiPar20 ================================ We are monitoring the situation on a daily basis, following closely the SC20 updates: https://sc20.supercomputing.org/attend/coronavirus-sc/ https://sc20.supercomputing.org/2020/03/10/hpc-supports-pandemic-research-e… We are brainstorming about hosting the workshop in a virtual setting, should SC20 become digital. Please refer to our HiPar20 website www.hipar.net for latest updates. ================================ Important dates ================================ Submission Deadline: August 31, 2020 (AoE) Author Notification: September 14, 2020 Camera Ready: October 5, 2020 Final Program: October 9, 2020 Workshop Date: Sun Nov 15, 9am-5:30pm ================================ Chairs and Committees ================================ Workshop chair: - Francesco Rizzi NexGen Analytics Organizing Committee: - D.S. Hollman Sandia National Labs - Lee Howes Facebook - Xiaoye Sherry Li Lawrence Berkeley National Lab Program Committee Chairs: - Christian Trott Sandia National Labs - Filippo Spiga NVIDIA Program Committee: - Mark Bull EPCC - Carlo Cavazzoni CINECA - Benjamin Cumming CSCS - Chris Forster NVIDIA - Marta Garcia Gasulla BSC - Anja Gerbes Geothe Uni.Frankfurt - Mark Hoemmen Stellar Science - Toshiyuki Imamura RIKEN - Guido Juckeland Helmholtz Center - Hartmut Kaiser LSU - Vivek Kale Brookhaven Labs - Jonathan Lifflander Sandia National Labs - James Lin Shanghai J.Tong Univ. - Aram Markosyan Xilinx - Rui Oliveira INESC TEC - Philippe Pebay NexGen Analytics - Zhiqi Tao Intel - Flavio Vella Univ. of Bozen - Michèle Weiland EPCC - Jeremiah Wilke Sandia National Labs ================================ Contact information: ================================ For questions, please email us at: hiparws(a)gmail.com

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Fwd: [AISWorld] CFP--ECRA Special Issue on Business Analytics for Social Good
by Gustaf Neumann 28 May '20

28 May '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP--ECRA Special Issue on Business Analytics for Social Good Date: Thu, 28 May 2020 10:16:06 +0800 From: Kang Zhao <kangzhao7(a)gmail.com> To: aisworld(a)lists.aisnet.org *Electronic Commence Research and Applications* *Special Issue on Business Analytics for Social Good* Special issue editors: Dirk Neumann (The University ofFreiburg, Germany), dirk.neumann(a)is.uni-freiburg.de. Junjie Wu (Beihang University,China), wujj(a)buaa.edu.cn. Kang Zhao (The University ofIowa, USA), kang-zhao(a)uiowa.edu. Platforms for electronic commerce, mobile commerce, and online social networking are making huge impact on our life in various ways. Meanwhile, data generated from these platforms has created tremendous value not only to the business but also to the society. In addition to leveraging the data for business objectives, eCommerce researchers and scholars also bear the responsibility of contributing to the benefits of the general public by analyzing such data. This special issue seeks data-enabled research that applies or develops computational and data science methods to address societal challenges in today’s interconnected world. We encourage research that analyzes publicly available data (e.g., from the Web or government agencies) or proprietary data (e.g., from business and organizations). Potential topics include, but are not limited to: · Discrimination and bias in social media · Vulnerable population in disaster relief and infectious disease control · (Mis)Information during emergency responses · Equality and privacy in eCommerce recommender systems · Social justice in law enforcement · Equal access to business or life opportunities · Disparities and inequality in health, health literacy and healthcare · Healthcare management during emergencies · Donations and fundraising for charity · Environmental protection and sustainability Authors are encouraged to email their papers’ abstracts to guest editors, so that the fit for this special issue can be evaluated, although this step is optional. Timeline · Initial submissions due: Sept 30, 2020 · First round of decisions: Jan 15, 2021 · Revisions due: March 15, 2021 · Final decisions: May 15, 2021 Submission guidelines: · Authors must submit all manuscripts through ECRA’s online submission portal https://ees.elsevier.com/ecra/default.asp, and choose "BASociaGood” as a special issue submission. · Submissions must follow author guidelines of ECRA ( https://www.elsevier.com/journals/electronic-commerce-research-and-applicat…). -- Kang Zhao, Ph.D. Tippie College of Business The University of Iowa Website: http://www.kangzhao.net _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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