Cfp June 2020

cfp@alice.wu.ac.at

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Fwd: [AISWorld] Last CFP 14th Multi Conference on Computer Science and Information Systems (MCCSIS 2020)
by Gustaf Neumann 01 Jun '20

01 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] Last CFP 14th Multi Conference on Computer Science and Information Systems (MCCSIS 2020) Date: Mon, 1 Jun 2020 12:16:12 -0500 From: nat(a)iadis.org To: aisworld(a)lists.aisnet.org Apologies for cross-postings. Please send to interested colleagues and students - MCCSIS 2020 CALL FOR PAPERS - Deadline for submissions (last call): 18 June 2020 - 14th Multi Conference on Computer Science and Information Systems (MCCSIS 2020) 21 to 25 July 2020 (http://www.mccsis.org) * IMPORTANT: Due to the coronavirus (COVID-19) pandemic, the conference will now be held online via Zoom. The Multi Conference on Computer Science and Information Systems 2020 (MCCSIS 2020) aims to address subjects like Computer Science, Information Systems and other emergent related fields. The multi conference has different conferences according to several themes. * Conferences part of the MCCSIS 2020: - e-Learning 2020 - eL2020 (http://www.elearning-conf.org/) - Theory and Practice in Modern Computing 2020 - TPMC2020 (http://www.tpmc-conf.org/) - Game and Entertainment Technologies 2020 - GET2020 (http://www.gaming-conf.org/) - ICT, Society, and Human Beings 2020 – ICT2020 (http://www.ict-conf.org/) - Web Based Communities and Social Media 2020 - WBC2020 (http://www.webcommunities-conf.org/) - Interfaces and Human Computer Interaction 2020 - IHCI2020 (http://www.ihci-conf.org/) - Computer Graphics, Visualization, Computer Vision and Image Processing 2020 - CGVCVIP2020 (http://www.cgv-conf.org/) - e-Health 2020 - eH2020 (http://www.ehealth-conf.org/) - Connected Smart Cities 2020 – CSC2020 (http://www.smartcities-conf.org/) - Big Data Analytics, Data Mining and Computational Intelligence 2020 – BigDaCI2020 (http://www.bigdaci.org/) * Paper Submission These are blind peer-reviewed conferences. Authors are invited to submit their papers in English through each conferences’ submissions system by June 18, 2020. Submissions must be original and should not have been published previously. * Important Dates: - Submission Deadline (last call): 18 June 2020 - Notification to Authors (last call): 3 July 2020 - Final Camera-Ready Submission and Early Registration (last call): Until 10 July 2020 - Late Registration (last call): After 10 July 2020 * Paper Publication The papers will be published in book and electronic format with ISBN, will be made available through the Digital Library available at http://www.iadisportal.org/digital-library/showsearch. The conference proceedings will be submitted for indexation by IET’s INSPEC, Elsevier, EI Compendex, Scopus, Thomson Reuters Web of Science, ERIC, EBSCO and other important indexing services. Selected authors of best papers will be invited to submit extended versions of their papers to selected journals (i.e. IADIS International Journal on Computer Science and Information Systems - ISSN: 1646-3692). Best papers will also be invited to submit for review extended versions for potential publication in journals from INDERSCIENCE Publishers. * Organized by: International Association for Development of the Information Society _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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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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Cfp June 2020