Cfp March 2020

cfp@alice.wu.ac.at

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Fwd: [WI] CfP BIR 2020:19th International Conference on Perspectives in Business Informatics Research
by Gustaf Neumann 16 Mar '20

16 Mar '20

-------- Forwarded Message -------- Subject: [WI] CfP BIR 2020:19th International Conference on Perspectives in Business Informatics Research Date: Mon, 16 Mar 2020 14:59:00 +0100 From: BIR 2020 <bir2020(a)omilab.org> Reply-To: BIR 2020 <bir2020(a)omilab.org> To: wi(a)lists.kit.edu =============================================================================== BIR 2020 19th International Conference on Perspectives in Business Informatics Research University of Vienna Vienna, Austria, September 23-25, 2020 https://bir2020.omilab.org =============================================================================== CALL FOR PAPERS =============================================================================== We welcome submissions for the 19th International Conference on Perspectives in Business Informatics Research (BIR), taking place in Vienna, Austria. THEME: ARTIFICIAL INTELLIGENCE IN BUSINESS INFORMATICS Artificial Intelligence (AI) drastically changes the way we employ technology, design information systems and allocate human labor in the context of digital transformations. AI also shifts perspectives in Business Informatics Research, which has been traditionally concerned with how different forms and degrees of automation can support or evolve enterprise information systems. The two fundamental pillars of Artificial Intelligence - machine learning and knowledge engineering - converge towards new streamlining possibilities, with transformative results in areas such as business process automation, human- computer interaction, context-aware or capability-aware enterprise information systems. From its very inception the BIR conference focused on opening perspectives and stimulating new roadmaps for Business Informatics, considering both fundamental research and key application areas (e.g., Industry 4.0, Smart cities, e- Government). Large scale AI adoption brings disruptions that must be met by Business Informatics research with novel methods and tools, to ensure a triple- win for enterprises, employees and the societal environment in which they act. ------------------------------------------------------------------------------- IMPORTANT DATES - Abstract submission deadline: 11 May, 2020 - Submission Deadline for the Main Conference: 18 May, 2020 - Workshop Proposals: 15 April, 2020 - Deadlines for Workshops and Doctoral Consortium: to be announced after workshop selection - Conference: 23-25 September, 2020 ------------------------------------------------------------------------------- TOPICS: Business, IT People and System Responsibilities - Philosophical and social perspectives - Ontological foundations - Systems theory and principles - Conceptual modelling - Human oriented systems - Emerging technologies and paradigms - Business models and rules - Enterprise modelling and architectures Business & IS development - Capability planning and management - Business process modeling - Process mining - Model Driven Development - Service oriented architecture - Requirements engineering - Contextualised business and systems - Business Information Technology Alignment Enterprise Systems - IoT, ERP, CRM and SCM systems - Business intelligence systems - Data analytics and decision support systems - Databases for business - Big Data for business Application areas - Healthcare Supply Chain - Industry 4.0 - E-Government - Smart City - Computer games and gamification ICT Governance/Management - Digital Governance - IT Governance - Project, risk and security management - Data Governance - ICT system sustainability, ethics and ergonomics - Legacy systems Responsible Collaboration - Blockchain economy - Outsourcing, crowdsourcing, etc. - Social network analysis - Value creation and co-creation - Business compliance - Workflow management Semiotics & Knowledge Management - Linked data Semantic - Web methods and languages - Ontology modelling languages and tools - Digital innovation - Ontology applications in business - Web and social computing - Text mining - E-learning and learning organizations ------------------------------------------------------------------------------- TYPES OF PAPERS - Research papers: describing original research contributions (theoretical, methodological or conceptual). - Exploratory papers: introducing new ideas and directions for research by analysing the current state of the art, identifying the gaps that need to addressed, and introducing an approach as a means to bridge them. - Practice papers: discussing problems or challenges that organisations (private or public) face, relate them to the wider domain and provide useful insights to practitioners from similar organisations and contexts. Accepted papers will be published in a volume of the Springer’s LNBIP series, for which general author instructions are available here: https:// www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines (check below the Submission Guidelines for links to specific templates and additional details). Best papers will be invited to a special issue of the Journal of Complex Systems Informatics and Modeling Quarterly (CSIMQ). ------------------------------------------------------------------------------- SUBMISSION GUIDELINES Accepted papers will be published in Springer Lecture Notes in Business Information Processing (LNBIP, indexed in ISI Proceedings, DBLP, EI and Scopus). Authors should consult Springer's authors' guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to- Publish form (this will be made available to authors of accepted papers). The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. All submissions must be unpublished and not be under review elsewhere. Page limit for all papers is 15 pages. A preliminary abstract submission is expected one week before the paper submission deadline. Inclusion in the proceedings volume is conditioned by having at least one author registration per paper and having the paper presented during the conference. Initial submissions should be made in PDF format using the EasyChair submission page: https://easychair.org/conferences/?conf=bir20200. ------------------------------------------------------------------------------- WORKSHOP AND DOCTORAL CONSORTIUM BIR 2020 traditionally hosts diverse thematic workshops and a Doctoral Consortium which stimulate lively debates on specific topics and provide valuable improvement suggestions to early stage scientific ideas. The BIR workshops and the BIR Doctoral Consortium will publish a separate joint proceedings volume in the CEUR-WS series. Submission links and formatting guidelines will be posted by chairs after the list of approved workshops is announced. ------------------------------------------------------------------------------- ORGANIZERS Conference Chairs - Björn Johansson - Lund University/Linköping University, Sweden - Dimitris Karagiannis - University of Vienna, Austria Program Chairs - Robert Buchmann - University Babes-Bolyai, Romania - Andrea Polini - University of Camerino, Italy Workshop Chairs - Marite Kirikova - Riga Technical University, Latvia - Kurt Sandkuhl - University of Rostock, Germany DC Chairs - Knut Hinkelmann - FHNW, Switzerland - Barbara Re - University of Camerino, Italy Organizing Chair - Victoria Döller - University of Vienna, Austria ------------------------------------------------------------------------------- PROGRAM COMMITTEE MEMBERS Gundars Alksnis, Riga Technical University, Latvia Said Assar, Institut Mines Telecom Business School, France Eduard Babkin, National Research University Higher School of Economics, Russia Per Backlund, University of Skövde, Sweden Amelia Badica, University of Craiova, Romania Catalin Boja, Bucharest University of Economic Studies, Romania Dominik Bork, University of Vienna, Austria Tomas Bruckner, University of Economics in Prague, Czech Republic Robert Buchmann, Babes-Bolyai University, Romania Witold Chmielarz, University of Warsaw, Poland Michal Choras, University of Science and Technology Bydgoszcz, Poland Chiara Di Francescomarino, Bruno Kessler Foundation, Italy Hans-Georg Fill, Freiburg University, Switzerland Peter Forbrig, Rostock University, Germany Ana-Maria Ghiran, Babes-Bolyai University, Romania Janis Grabis, Riga Technical University, Latvia Janis Grundspenkis, Riga Technical University, Latvia Knut Hinkelmann, FHNW, Switzerland Adrian Iftene, University "Al.I.Cuza" Iasi, Romania Emilio Insfran, Polytechnic University of Valencia, Spain Florian Johannsen, University of Applied Sciences Schmalkalden, Germany Björn Johansson, Lund University/Linköping University, Sweden Dimitris Karagiannis, University of Vienna, Austria Sybren De Kinderen, Duissburg-Essen University, Germany Marite Kirikova, Riga Technical University, Latvia Birger Lantow, Rostock University, Germany Massimiliano De Leoni, University of Padua, Italy Ginta Majore, Vidzeme University of Applied Sciences, Latvia Raimundas Matulevicius, University of Tartu, Estonia Andrea Morichetta, University of Camerino, Italy Jens Myrup Pedersen, Aalborg University, Denmark Jacob Norbjerg, Copenhagen Business School, Denmark Cyril Onwubiko, Research Series Ltd., UK Malgorzata Pankowska, University of Economics in Katowice, Poland Data Petcu, West University of Timisoara, Romania Pierluigi Plebani, Polytechnic University of Milan Italy Paul Pocatilu, Bucharest University of Economic Studies, Romania Andrea Polini, University of Camerino, Italy Dorina Rajanen, University of Oulu, Finland Barbara Re, University of Camerino, Italy Iris Reinhartz-Berger, University of Haifa, Israel Vaclav Repa, University of Economics in Prague, Czech Republic Stefanie Rinderle-Ma, University of Vienna, Austria Ben Roelens, Open University of Netherlands, Netherlands Kurt Sandkuhl, Rostock University, Germany Rainer Schmidt, Munich University of Applied Sciences, Germany Manuel Serrano, University of Castilla-La Mancha, Spain Gheorghe Cosmin Silaghi, Babes-Bolyai University, Romania Janis Stirna, Stockholm University, Sweden Stefan Strecker, University of Hagen, Germany Filip Vencovsky, University of Economics in Prague, Czech Republic Gianluigi Viscusi, EPFL-CDM-CSI, Switzerland Anna Wingkvist, Linnaeus University, Sweden Stanislaw Wrycza, University of Gdansk, Poland Jelena Zdravkovic, University of Stockholm, Sweden Alfred Zimmermann, Reutlingen University, Germany Wieslaw Wolny, University of Economics in Katowice, Poland -- 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] CFP: Int. Workshop on Trust, Ethics and Information Quality in Smart Environments @ IEEE CBI 2020
by Gustaf Neumann 16 Mar '20

16 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: Int. Workshop on Trust, Ethics and Information Quality in Smart Environments @ IEEE CBI 2020 Date: Mon, 16 Mar 2020 16:04:10 +0100 From: Mouzhi Ge <mouzhi.ge(a)mail.muni.cz> To: aisworld(a)lists.aisnet.org CC: lisa.ehrlinger(a)jku.at ======================CALL FOR PAPERS============================== International Workshop on Trust, Ethics and Information Quality in Smart Environments(IW-TEIQ 2020) http://cbi.ivi.ie/ In conjunction with the 22nd IEEE International Conference on Business Informatics - CBI 2020, Antwerp June 22-24, 2020 =================================================================== SCOPE ============= With this workshop we aim to discuss information aspects in Smart Environments from a Trust, Ethics and Quality Perspective. Smart Environments are characterized by complex information exchanges between many intelligent devices, often based on IoT technology. Since Trust, Ethics and Information Quality have a high impact on the way data is exchanged, integrated, and shared, it creates new challenges and opportunities to explore how Trust, Ethics and Information Quality are interacted, measured and managed to create values to Smart Environments. As critical research aspects in Business Informatics, it can be detailed as how users perceive the information, how to handle the information, and how fitting the information for usage. Trust, Ethics and Quality of information are emerging issues in many scientific areas as well as in the industrial and the governmental areas. Information Trust, Ethics and Quality are gaining increasing relevance in the era of data analytics, as it is for example the case in IoT infrastructures where a large number of heterogeneous data sources needs to be considered. However, which data source can be trusted is related to the research of information provenance. Sometimes, the data source is deliberately edited such as fake news. Also, which data source can be used and how to use the information in an ethical way can be relevant to the invasion of personal information privacy. Further, Quality of information is not simply “correctness”, but covers dimensions like completeness, currency, interpretability, consistency, and many others, depending on the data consumers and the context where data is used. Following, the measurement and maintenance of Trust, Ethics and Quality of information is a non-trivial task, which needs to be tackled in order to guarantee qualitative data integration and analytics in smart environments. In this workshop, we aim to provide a platform for discussing approaches, models, results and case studies or experience reports addressing a broad range of issues related to Trust, Ethics and Quality of information. Research challenges include how to determine the Trust, Ethics and Quality of information and their impacts on business performance, capturing and maintaining Information Assets, and designing and improving Smart Environments. Papers can include and discuss various research methods and can be based on case studies, quantitative and quantitative methods, design science as well as experimental and simulation. In addition, practical oriented research and experience reports are encouraged. ================ IMPORTANT DATES ================ Paper Submission Due: April 17th, 2020 Authors Notification: April 27nd, 2020 Camera-ready Submission: May 10th, 2020 ================ TOPIC OF INTERESTS ================ Trust and reputation in business informatics Information provenance Ethics in business informatics Ethical issues in information systems Information quality assessment Data quality assessment Information quality improvement Information quality algebra Information quality models Data cleaning Information quality on the Web Quality of scientific information Quality of geographical information Information quality & trust ================ PAPER SUBMISSION ================ All papers should be submitted via Easychair: https://easychair.org/conferences/?conf=iwteiq2020 Submissions must be in English and should not exceed 6 pages for regular papers and 4 pages for research-in-progress papers in the IEEE 2-column template (http://ieeeauthorcenter.ieee.org/create-your-ieee-article/use-authoring-too…). Accepted papers will be published as IEEE proceedings and submitted for integration into the IEEE Digital Library. To ensure a double-blind review process make sure that your names and affiliations are NOT listed in the manuscript submitted for review. However, you should include ALL cited references in the submission’s references section to allow reviewers for cross-checking references (including your self-cited own prior work). ================================ ORGANIZING CO-CHAIRS ================================ Markus Helfert, Maynooth University, Ireland. Markus.Helfert(a)mu.ie Lisa Ehrlinger, Johannes Kepler University Linz, Austria. lisa.ehrlinger(a)jku.at Mouzhi Ge, Masaryk University, Czech Republic. Mouzhi.Ge(a)muni.cz _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] ONLINE CONFERENCE vs CORONAVIRUS PANDEMIC
by Gustaf Neumann 15 Mar '20

15 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] ONLINE CONFERENCE vs CORONAVIRUS PANDEMIC Date: Mon, 16 Mar 2020 00:51:02 +0500 From: Tatiana Antipova <antipovatatianav(a)gmail.com> To: aisworld(a)lists.aisnet.org *Dear Author,* *You are cordially invited to Special Section of the 2020 International Conference on Integrated Science in Digital Age**, 01-03 May 2020.* The 2020 International Conference on Integrated Science in Digital Age, to be held online, 01 – 03 May 2020. An important characteristic feature of this Conference should be the short publication time and world-wide distribution. We are pleased to invite you to submit your papers that must be written in English, complied with the requested format *Template* (download a DOC example on https://www.springer.com/us/authors-editors/conference-proceedings/conferen…), must not have been published before, and related with one or more of the Conference Topics. The paper you are submitting must be your own work and you have obtained the appropriate consent from all co-authors to publish the paper at this event. *You can submit your papers via Conference Submission Form * https://ics.events/submissions/* .* *Conference Proceeding will be published by Springer in a book LNNS series and then submitted to Scopus, ISI, SpringerLink, etc. Indexation.* *Each accepted and registered papers that were submitted to our previously Conferences published by Springer and indexed by Scopus, SpringerLink, etc.* *Also we have the Journal of Digital Science (https://ics.events/journal-of-digital-science/ <https://ics.events/journal-of-digital-science/>) where you can publish you article as the best paper award.* *Conference Organiser,* *https://ics.events <https://ics.events/>.* All the best, Dr. Tatiana Antipova, Chair at Institute of Certified Specialists, https://ics.events. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP: BIR 2020 at University of Vienna, Vienna, Austria
by Gustaf Neumann 15 Mar '20

15 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: BIR 2020 at University of Vienna, Vienna, Austria Date: Sun, 15 Mar 2020 16:38:56 +0000 From: Björn Johansson <bjorn.johansson(a)ics.lu.se> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleague, BIR 2020 (19th International Conference on Perspectives in Business Informatics Research) invites you to contribute by submitting paper(s) to the conference taking place in Vienna, Austria in September 23-25, 2020 Conference theme: Artificial Intelligence in Business Informatics Artificial Intelligence (AI) drastically changes the way we employ technology, design information systems and allocate human labor in the context of digital transformations. AI also shifts perspectives in Business Informatics Research, which has been traditionally concerned with how different forms and degrees of automation can support or evolve enterprise information systems. The two fundamental pillars of Artificial Intelligence - machine learning and knowledge engineering - converge towards new streamlining possibilities, with transformative results in areas such as business process automation, human-computer interaction, context-aware or capability-aware enterprise information systems. This will be the central theme of the 19th International Conference on Perspectives in Business Informatics Research. The conference welcomes original research contributions for the conference on aspects of and future directions in Business Informatics Research with respect to the theme of AI in Business Informatics as well a new research methods and topics addressing digital transformation. Contributions from ongoing research and implications for future directions as well as industry papers are welcome. The submission deadline is May 18 2020. Submitted papers will be subject to a double-blind review process. All accepted papers will be published by Springer in the LNBIP Lecture Notes in Business Information Processing Series. Papers not accepted for the main conference will have the possibility to be accepted to BIR workshops or a pre-BIR forum day directly or after revision Workshops, Doctoral Consortium and a pre-BIR conference forum day will be organized as satellite events, September 23-2020. Accepted papers for workshops, DC and the pre-BIR forum day will be included in a CEUR proceeding. Detailed information about the BIR 2020 conference is available at the conference web site https://bir2020.omilab.org The conference is hosted by the University of Vienna, Vienna, Austria. The BIR conference series create a forum where researchers in business informatics, seniors as well as juniors, could meet and discuss with each other. The BIR 2020 conference welcomes papers from all over the world. We accept original papers of the following types: full research papers, research-in-progress papers, industrial papers. Traditionally in the frame of the BIR conference, Doctoral Consortium and workshops will also take place at BIR 2020. Conference Chairs - Björn Johansson – Linköping University & Lund University, Sweden - Dimitris Karagiannis - University of Vienna, Austria Best regards Björn Johansson [PhD/Associate Professor] Senior lecturer [Linköping University] Department of Management and Engineering Division of Information Systems and Digitalisation SE-581 83 Linköping Phone: +46 (0)13-28 12 90 Mobile: +46 (0)13 28 12 90 Visiting address: Campus Valla, A Building, Entrance 19, Office 2A:812 Please visit us at liu.se<https://liu.se/> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [ACSOS] Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at IEEE ACSOS
by Gustaf Neumann 14 Mar '20

14 Mar '20

-------- Forwarded Message -------- Subject: [ACSOS] Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at IEEE ACSOS Date: Sat, 14 Mar 2020 15:43:59 +0100 From: Christian Krupitzer <christian.krupitzer(a)uni-wuerzburg.de> To: acsos(a)lists.uni-wuerzburg.de Dear Colleagues, We apologize if you received multiple CFPs for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), the merger of the IEEE/ACM ICAC and the IEEE SASO conferences. A short version of the CFP follows, the full version can be found here: http://seac2020.informatik.uni-wuerzburg.de/ ========================================== ** Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020)** At IEEE ACSOS 2020, August 17-21, Washington DC, USA The workshop on self-aware computing (SeAC) provides a forum to foster interaction and collaborations between the respective research communities, raising the awareness about related research efforts and synergies that can be exploited to advance the state of the art. The workshop was initiated by the 2015 Dagstuhl Seminar 15041 on model-driven algorithms and architectures for self-aware computing systems, which brought together 45 international experts. Paper submission deadline: June 12, 2020 Talk submission deadline: June 12, 2020 Author notification: July 1, 2020 Final Manuscript (paper): July 8, 2020 Workshop Day: August 17, 2020 List of Topics This workshop is interested in all the topics concerning self-aware computing systems; however, for this year, we have a special theme on evaluation of SeAC systems. Please find below several examples of possible topics: - Fundamental science and theory of self-aware systems - Levels and aspects of self-aware systems - Architectures for individual and collective systems - Methods and algorithms for model learning (self-modeling) and reasoning - Self-adaptation in individual and collective systems - Synthesis and verification metrics and benchmarks - Tool support for evaluation and measurements, and quality assurance - Open challenges and future research directions - Applications and case studies: cloud computing, cyber-physical systems, data centers, dependable computing, industrial internet / industry 4.0, internet of things, mobile computing, service-oriented systems, smart buildings, smart city, smart grid / energy management, smart factory, traffic management, autonomous robotics, and space applications. Submission Guidelines The workshop participants will be selected based on their experience and ideas related to the field of self-aware computing. There are two ways to participate: i) present a talk without a respective paper published in the workshop proceedings, ii) submit a paper to be presented at the workshop and published in the workshop proceedings: - Full workshop paper limited to 6 pages (double column, IEEE format, including references) - Short workshop paper limited to 4 pages (double column, IEEE format, including references) - Talk extended abstract limited to 1 page (without formatting restrictions) We kindly invite PhD students to unleash their creativity and submit their ideas about the application of the IT solutions in everyday life and in particular in autonomic and self-managing systems. All the papers must be written in English and must conform to the double-column IEEE formatting guidelines. At least three PC members will review each submission. The authors will be notified about acceptance before the ACSOS 2020 early registration deadline. At least one author of each accepted submission must register and present the paper. All workshop papers will be submitted for inclusion to IEEE Xplore. Submission can be done via EasyChair: https://easychair.org/conferences/?conf=seac2020 Organization - Christian Krupitzer, University of Würzburg, Germany, christian.krupitzer(a)uni-wuerzburg.de - Peter Lewis, Aston University, Birmingham, UK, p.lewis(a)aston.ac.uk - Ilias Gerostathopoulos, Vrije Universiteit Amsterdam, Netherlands, i.g.gerostathopoulos(a)vu.nl - Thomas Prantl, University of Würzburg, Germany, thomas.prantl(a)uni-wuerzburg.de (Publicity Chair) _______________________________________________ acsos mailing list acsos(a)lists.uni-wuerzburg.de https://lists.uni-wuerzburg.de/mailman/listinfo/acsos

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Fwd: [AISWorld] CFP: The Int. Conference on Deep Learning, Big Data and Blockchain
by Gustaf Neumann 13 Mar '20

13 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: The Int. Conference on Deep Learning, Big Data and Blockchain Date: Fri, 13 Mar 2020 09:30:11 +0000 From: Deep-BDB <deepml.info(a)gmail.com> To: aisworld(a)lists.aisnet.org ------------------------ Call for Papers (Deadline Extended)----------------------------- The 2nd International Conference on Deep Learning, Big Data and Blockchain (DEEP-BDB 2020) (Springer Series) 24-26 August 2020, Rome, Italy http://www.ficloud.org/deep-bdb/ ----------------------------------------------------------------------------------------- Deep and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. All such fields produce and consume massive amount of big data, which include, for example, online commerce data (marketing data, customer reviews, customer relationship), transportation data (road sensors, cameras, GPS), and data about healthcare, social media, and various other applications. Deep learning techniques and big data techniques yield useful outputs in predicting, discovering and acquiring insights and deeper knowledge about events for better and efficient decision making. The groundbreaking technology of blockchain technology also enable decentralization, immutability, and transparency of data and applications. It has been exploited in modern research and industrial domains in order to achieve high level of trust, security and reliable execution of applications and data which are shared across a network of computers. The International Conference on Deep Learning, Big Data and Blockcain (DEEP-BDB) aims to enable synergy between these areas and to provide a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Topics of interest include (but not limited to): - Deep/Machine learning based models - Statistical models and learning - Data analysis, insights and hidden pattern - Data analysis and decision making - Data wrangling, munching and cleaning - Data integration and fusion - Data visualization - Data and information quality - Security threat detection - Visualizing security threats - Enhancing privacy and trust - Data mining; Information extraction; - Sentiment analysis - Data classification and clustering - Knowledge acquisition and learning - Clustering, classification and regression - Supervised and unsupervised learning - Blockain security and trust - Blockchain data management - Data & application reliability - Blockchain and data distribution - Blockain and finacial transactions - Blockchain and Bitcoin applications - Blockain and NoSQL databases - Protocols for blockchain - Cryptography, Cryptocurrency - Fraud detection and prevention - Blockchain and Internet of Things - Scalability of blockchains Application areas: - Finance, business and retail - Intelligent transportation - Healthcare and clinical decision support - Bioinformatics and biomedical informatics - Computer vision - Human activity recognition - Cybersecurity - Natural language processing - Recommender systems - Social media and networks Important Dates: Submission Deadline: 02 April 2020 Authors Notification: 20 May 2020 Final Manuscript Due: 15 June 2020 Paper Submission: Papers must be written in English. Full papers should be limited to 12 pages. Short papers should be limited to 8 pages. Papers must be formatted in Springer's format. See Information for Authors of Springer Proceedings ( https://www.springer.com/us/authors-editors/conference-proceedings/conferen… ). All papers accepted for this conference are peer-reviewed and are to be published by Springer in the Advances in Intelligent Systems and Computing series. Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceeding Submition of papers are done through the EasyChair submission system. See conference website for further details. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] AI Paradigms for Smart Cyber-Physical Systems: book chapter.
by Gustaf Neumann 13 Mar '20

13 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] AI Paradigms for Smart Cyber-Physical Systems: book chapter. Date: Fri, 13 Mar 2020 11:56:54 +0300 From: Atilla Elçi <atilla.elci(a)gmail.com> To: tccc-announce(a)comsoc.org, CSPlus-Admin <cfp-admin(a)grid.chu.edu.tw>, mycolleagues(a)mailman.ufsc.br, team(a)researchbib.com, AISWorld(a)lists.aisnet.org, ai-sges(a)jiscmail.ac.uk Inviting you to propose a book chapter soon: due date is in 10 days! Call for Chapters: Artificial Intelligence Paradigms for Smart Cyber-Physical Systems Proposals Submission Deadline: March 23, 2020 Full Chapters Due: March 23, 2020 Final Chapter Submission Date: June 30, 2020 Recommended Topics Topics of interest include, but are not limited to: • Data management, knowledge representation and ontology for Cyber-Physical Systems • Big data and smart computing for Cyber-Physical Systems • Algorithms, models, and designs for social Cyber-Physical Systems • Machine learning for/with Cyber-Physical Systems • Nature-Inspired Algorithms for Cyber-Physical Systems • Affecting Ubiquitous Intelligence in Cyber-Physical Computing • Device Virtualization (DV) in pervasive Cyber-Physical Systems • Issues and implementation of Privacy, Security, and Trust in Cyber-Physical Systems • Affecting Context-Awareness for Cyber-Physical Systems • Design, development, and implementation of Smart Cyber-Physical Systems • Comparison of artificial intelligence-based approaches to Cyber-Physical Systems • AI-based fraud detection, and mitigation • Smart IDS and IPS for Cyber-Physical System • Cyber-attack forecasting, detection, and mitigation • Innovative applications of Cyber-Physical Systems in various domains Submission Procedure Researchers and practitioners are invited to submit full chapters by *March 23, 2020*, and all interested authors must consult the guidelines for manuscript preparation at http://www.igi-global.com/publish/contributor-resources/before-you-write/; please use “Authored or Edited Chapter Template” prior to submission at the eEditorial Discovery® online submission manager ( https://www.igi-global.com/submission/). All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. Authors will be notified by *June 15, 2020* about the status of their chapters. Note: *There are no submission or acceptance fees for manuscripts submitted to this book publication*, *Artificial Intelligence Paradigms for Smart Cyber-Physical Systems*. All manuscripts are accepted based on a double-blind peer review editorial process. All full chapters must be submitted through the eEditorial Discovery®TM online submission manager. *This publication is anticipated to be released in 2020*. Inquiries Dr. Ashish Kr. Luhach ashishluhach(a)acm.org Dr. Atilla Elçi atilla.elci(a)gmail.com Saygılarımla / Warm greetings Atilla Elci, Ph.D., camp Aksaray, TR. My books on Amazon: https://www.amazon.com/s?k=Atilla+ELCI&ref=nb_sb_noss https://scholar.google.com/citations?user=wpQvtlQAAAAJ&hl=en _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [fai-saso] Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at IEEE ACSOS
by Gustaf Neumann 13 Mar '20

13 Mar '20

-------- Forwarded Message -------- Subject: [fai-saso] Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at IEEE ACSOS Date: Thu, 12 Mar 2020 23:49:27 +0100 From: Christian Krupitzer <christian.krupitzer(a)uni-wuerzburg.de> To: fai-saso(a)listserv.uni-augsburg.de Dear Colleagues, We apologize if you received multiple CFPs for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), the merger of the IEEE/ACM ICAC and the IEEE SASO conferences. A short version of the CFP follows, the full version can be found here: http://seac2020.informatik.uni-wuerzburg.de/ ========================================== ** Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020)** At IEEE ACSOS 2020, August 17-21, Washington DC, USA The workshop on self-aware computing (SeAC) provides a forum to foster interaction and collaborations between the respective research communities, raising the awareness about related research efforts and synergies that can be exploited to advance the state of the art. The workshop was initiated by the 2015 Dagstuhl Seminar 15041 on model-driven algorithms and architectures for self-aware computing systems, which brought together 45 international experts. Paper submission deadline: June 12, 2020 Talk submission deadline: June 12, 2020 Author notification: July 1, 2020 Final Manuscript (paper): July 8, 2020 Workshop Day: August 17, 2020 List of Topics This workshop is interested in all the topics concerning self-aware computing systems; however, for this year, we have a special theme on evaluation of SeAC systems. Please find below several examples of possible topics: - Fundamental science and theory of self-aware systems - Levels and aspects of self-aware systems - Architectures for individual and collective systems - Methods and algorithms for model learning (self-modeling) and reasoning - Self-adaptation in individual and collective systems - Synthesis and verification metrics and benchmarks - Tool support for evaluation and measurements, and quality assurance - Open challenges and future research directions - Applications and case studies: cloud computing, cyber-physical systems, data centers, dependable computing, industrial internet / industry 4.0, internet of things, mobile computing, service-oriented systems, smart buildings, smart city, smart grid / energy management, smart factory, traffic management, autonomous robotics, and space applications. Submission Guidelines The workshop participants will be selected based on their experience and ideas related to the field of self-aware computing. There are two ways to participate: i) present a talk without a respective paper published in the workshop proceedings, ii) submit a paper to be presented at the workshop and published in the workshop proceedings: - Full workshop paper limited to 6 pages (double column, IEEE format, including references) - Short workshop paper limited to 4 pages (double column, IEEE format, including references) - Talk extended abstract limited to 1 page (without formatting restrictions) We kindly invite PhD students to unleash their creativity and submit their ideas about the application of the IT solutions in everyday life and in particular in autonomic and self-managing systems. All the papers must be written in English and must conform to the double-column IEEE formatting guidelines. At least three PC members will review each submission. The authors will be notified about acceptance before the ACSOS 2020 early registration deadline. At least one author of each accepted submission must register and present the paper. All workshop papers will be submitted for inclusion to IEEE Xplore. Submission can be done via EasyChair: https://easychair.org/conferences/?conf=seac2020 Organization - Christian Krupitzer, University of Würzburg, Germany, christian.krupitzer(a)uni-wuerzburg.de - Peter Lewis, Aston University, Birmingham, UK, p.lewis(a)aston.ac.uk - Ilias Gerostathopoulos, Vrije Universiteit Amsterdam, Netherlands, i.g.gerostathopoulos(a)vu.nl - Thomas Prantl, University of Würzburg, Germany, thomas.prantl(a)uni-wuerzburg.de (Publicity Chair) _______________________________________________ fai-saso mailing list fai-saso(a)listserv.uni-augsburg.de https://mailman.rz.uni-augsburg.de/mailman/listinfo/fai-saso

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Fwd: [AISWorld] Special Section of JMIS on Fake News on the Internet, papers due April 30, 2020
by Gustaf Neumann 13 Mar '20

13 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] Special Section of JMIS on Fake News on the Internet, papers due April 30, 2020 Date: Fri, 13 Mar 2020 06:04:15 +0000 From: Galletta, Dennis <GALLETTA(a)pitt.edu> To: 'AISWorld(a)lists.aisnet.org' <AISWorld(a)lists.aisnet.org> Dear colleagues: This is a 2nd reminder: *Journal of Management Information Systems * *Special Section on Fake News on the Internet* *Due Date: April 30, 2020* The online generation and dissemination of false information (e.g., through Facebook, Twitter, Snapchat and other Internet media), commonly referred to as "fake news", has garnered immense public attention following the 2016 Brexit referendum, the 2016 and 2018 US elections, the 2019 Indian lynchings, and the 2019 rise in polio cases in Pakistan. Fake news undermines public life across the globe, especially in countries where journalistic practices and institutions are weak [3]. Some fake news is created to spread ideological messages or to create mischief whereas other fake news is created for profit, such as the Macedonian teenagers who created fake news sites to drive advertising [21]. Research shows that fake news spreads "significantly farther, faster, deeper, and more broadly" than true news [23:1146] and has had major societal impacts [14]. All signs indicate that it will get worse as political activists, scammers, alternative news media, and hostile governments become more sophisticated in their production and targeting of fake news. Fake news and other types of false information are also a matter of concern for business and management research and practice [2,8,18]. Businesses have engaged in deceptive communications such as greenwashing, astroturfing, false advertising and other types of false messages [4,13], but false content presented as news presents a novel range of issues for individuals, organizations, and societies [1,17]. The widespread adoption and use of information and communication technologies, particularly social and digital media, play a key role in the current wave of fake news and false information sweeping the globe [1,6,12]. We believe that the IS discipline can contribute significantly to the discourse, as it already has in related areas such as cyberdeviance [22] and deception [e.g., 5]. Our field can draw on its intellectual core of theories and empirical findings on the design, use, and impacts of IT artifacts at different levels of analysis. A nascent body of IS research on this topic is emerging [7,15,16,17,19]. Related areas such as review manipulation [e.g., 10] and social behaviors in online social networks [e.g., 9,11,20] can provide valuable lessons to apply to online fake news and false information more generally. Yet there is a dearth of evidence about many aspects, and many issues remain open to debate. This Special Section seeks to expand this emerging work and mobilize a full-fledged research agenda on fake news within the IS discipline. We call for papers addressing interesting IS questions around the fake news phenomenon on the Internet. We seek a wide range of research in content, theory, perspectives, methods, and stakeholders affected. We encourage pure IS research as well as inter-disciplinary research with partners from journalism, communication, sociology, political science, and other disciplines. Example fake news (FN) topics for the special issue include, but are not limited to: * Different sources, domains, and purposes of FN * Impacts of FN on users, groups, companies, and/or societies * User attitudes and behaviors about FN, and the effectiveness of user interventions (e.g. education, nudges) * Trust, authenticity, authority, and truth on social media and the Internet in general * Social media companies' attitudes and behavior around the consumption and/or sharing of FN * Effects of platform governance, management, and technical affordances on the spread and consumption of FN * Technical, behavioral, economic, regulatory/policy solutions to reduce the consumption and/or sharing of FN * Design of algorithms, social bots, curation systems, recommendation systems and their effects on the spread of FN, whether to promote or inhibit FN. * Crowdsourcing innovations to counter FN * Contribution of online communities in the incubation, spread, and/or detection of FN * Business models, innovations and opportunities in news and media businesses to counter FN * National, cultural, and institutional differences in the nature and dynamics of FN * Organized disinformation operations on social media: sources, dynamics, effectiveness, and responses * Social media manipulation and algorithmic "gaming" to encourage the spread of FN * New theories around FN. We welcome research using a variety of methodologies, and at any level of analysis, such as: * High quality qualitative (e.g., interview, observation) or quantitative (e.g., experimental, survey) research of all kinds * Archival and observational research using data drawn from the Internet * Mixed methods research (e.g., surveys complemented with digital trace data) * Research proposing and evaluating innovative artifacts (i.e., design science research) * Comprehensive theory development papers. *Timeline* Authors are welcome to email an abstract or extended abstract to the Guest Editors prior to submission if they have questions about their paper's fit with the special section. Official submissions should be emailed to: ardennis(a)iu.edu<mailto:ardennis@iu.edu> Due: April 30, 2020 Notification: July 15, 2020 1st Resubmission: October 15, 2021 Notification: January 15, 2021 2nd Resubmission: April 15, 2021 Final Decisions: June 15, 2021 *Guest Editors* *Alan Dennis, Indiana University, USA, **ardennis(a)iu.edu<mailto:**ardennis@iu.edu> <ardennis(a)iu.edu<mailto:ardennis@iu.edu>>* Alan has conducted several lab experiments and surveys on the consumption and sharing of fake news. He has written more than hundred research articles, and served as Senior Editor for *MIS Quarterly. *His other research interests include virtual teams (including virtual reality), NeuroIS, and designing IT to influence subconscious cognition. He serves on the editorial board of *Journal of Management Information Systems*. *Dennis Galletta, University of Pittsburgh, USA, * *galletta(a)pitt.edu<mailto:*galletta@pitt.edu><galletta(a)pitt.edu<mailto:galletta@pitt.edu>>* Dennis has conducted studies in the related area of phishing (e.g., Moody et al. 2017) and has launched a two-study project to research fake news. He is an AIS Fellow, a LEO lifetime achievement awardee, and serves as Doctoral Director for the Business School. He has published over a hundred articles, conference papers, and books. He serves as an *MIS Quarterly* Senior Editor and an editorial board member of *Journal of **Management Information Systems*. *Jane Webster, Queen's University, Canada, * *jane.webster(a)queensu.ca<mailto:*jane.webster@queensu.ca><jane.webster(a)queensu.ca<mailto:jane.webster@queensu.ca>>* Jane has worked in areas related to fake news, including knowledge hiding, knowledge sharing, and greenwashing. She has served as a Senior Editor for *MIS Quarterly *and VP Publications for AIS. She has published over a hundred research papers, most recently focusing on information systems and technologies to support environmental sustainability. * References* 1. Allcott, H. and Gentzkow, M. Social media and fake news in the 2016 election. *Journal of Economic Perspectives*, *31*, 2 (May 2017), 211-236. 2. Aral, S. Truth, Disrupted. *Harvard Business Review*, 2018, 3-11. 3. Bradshaw, S. and Howard, P.N. Challenging truth and trust: A global inventory of organized social media manipulation. *The Computational Propaganda Project*, (2018). 4. Dunlap, R.R. and McCright, A.M. Organized climate change denial. In J.S. Dryzek, R.B. Norgaard and D. Schlosberg, eds., *The Oxford handbook of climate change and society*. Oxford University Press, 2011. 5. George, J.F., Gupta, M., Giordano, G., Mills, A.M., Tennant, V.M., and Lewis, C.C. The effects of communication media and culture on deception detection accuracy. *MIS Quarterly*, *42*, 2 (February 2018), 551-575. 6. Humprecht, E. Where "fake news" flourishes: a comparison across four Western democracies. *Information, Communication & Society*, (May 2018), 1-16. 7. Kim, A. and Dennis, A.R. Says who? The effects of presentation format and source rating on fake news in social media. *MIS Quarterly*, *43*, 3 (September 2019). 8. Knight, E. and Tsoukas, H. When fiction trumps truth: What "post-truth" and "alternative facts" mean for management studies. *Organization Studies*, *40*, 2 (February 2019), 183-197. 9. Kuem, J., Ray, S., Siponen, M., and Kim, S.S. What leads to prosocial behaviors on social networking services: A tripartite model. *Journal of Management Information Systems*, *34*, 1 (January 2017), 40-70. 10. Kumar, N., Venugopal, D., Qiu, L., and Kumar, S. Detecting review manipulation on online platforms with hierarchical supervised learning. *Journal of Management Information Systems*, *35*, 1 (January 2018), 350-380. 11. Kwon, H.E., Oh, W., and Kim, T. Platform structures, homing preferences, and homophilous propensities in online social networks. *Journal of Management Information Systems*, *34*, 3 (July 2017), 768-802. 12. Lazer, D.M.J., Baum, M.A., Benkler, Y., et al. The science of fake news. *Science*, *359*, 6380 (March 2018), 1094-1096. 13. Lyon, T.P. and Montgomery, A.W. The means and end of greenwash. *Organization & Environment*, *28*, 2 (June 2015), 223-249. 14. Mathew, I. Most Americans say they have lost trust in the media. *Columbia Journalism Review*, 2018. https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cjr.o…p;reserved=0. 15. Moravec, P., Kim, A., and Dennis, A.R. Behind the stars: The effects of news source ratings on fake news in social media. *Journal of Management Information Systems*, (in press). 16. Moravec, P., Kim, A., and Dennis, A.R. Flagging fake news: System 1 vs. System 2. In *ICIS 2018 Proceedings*. Association for Information Systems, San Francisco, CA, US, 2018. 17. Moravec, P., Minas, R.A., and Dennis, A.R. Fake news on social media: People believe what they want to believe when it makes no sense at all. *MIS Quarterly*, (in press). 18. Murphy, M. Study: Fake news hits the workplace. *Leadership IQ*, 2017. https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.leade… 19. Murungi, D., Puaro, S., and Yates, D.J. Beyond facts: A new spin on fake news in the age of social media. In *AMCIS 2018 Proceedings*. Association for Information Systems, New Orleans, LA, US, 2018. 20. Pan, Z., Lu, Y., Wang, B., and Chau, P.Y.K. Who do you think you are? Common and differential effects of social self-identity on social media usage. *Journal of Management Information Systems*, *34*, 1 (January 2017), 71-101. 21. Subramanian, S. Inside the Macedonian fake-news complex. *Wired*, 2017. https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.wired…p;reserved=0. 22. Venkatraman, S., M. K. Cheung, C., Lee, Z.W.Y., D. Davis, F., and Venkatesh, V. The "Darth" side of technology use: An inductively derived typology of cyberdeviance. *Journal of Management Information Systems*, *35*, 4 (October 2018), 1060-1091. 23. Vosoughi, S., Roy, D., and Aral, S. The spread of true and false news online. *Science*, *359*, 6380 (March 2018), 1146-1151. ~~~~~~~~~~~~~~~~~~~~~~~~~~ DG ---------------------------------------------------------------------------- Dennis F. Galletta Professor of Business Administration University of Pittsburgh Director, Katz Doctoral Program 282a Mervis Hall AIS LEO and Fellow Phone +1 412-648-1699 Katz Graduate School of Business Fax +1 412-624-3633 Pittsburgh, PA 15260 E-mail: galletta @ pitt.edu homepage: www.pitt.edu/~galletta<https://na01.safelinks.protection.outlook.com/?url=http:%2F%2Fwww.pitt.edu%…> ---------------------------------------------------------------------------- _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 2ND CALL FOR BOOK CHAPTERS: BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications
by Gustaf Neumann 12 Mar '20

12 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] 2ND CALL FOR BOOK CHAPTERS: BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications Date: Thu, 12 Mar 2020 12:11:31 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications EDITED BY PROF. DR. ZHAOHAO SUN TO BE PUBLISHED BY IGI Global, USA https://www.igi-global.com/publish/call-for-papers/call-details/4539 or http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=96711 or https://www.researchgate.net/project/Intelligent-Analytics-with-Applications Introduction Intelligent analytics is an emerging scientific paradigm that integrates big data/information/knowledge/wisdom, analytics and artificial intelligence (AI) to provide smart services to our work, business, life, industry and society. From a fundamental perspective, intelligent analytics at least includes intelligent big data analytics, intelligent big information analytics, intelligent big knowledge analytics, intelligent big wisdom analytics. Intelligent analytics has been revolutionizing our work, life, business, management, organization and industry. It becomes disruptive technology for healthcare, web services, service computing, cloud computing, 5G development, blockchain and social networking computing. However, many fundamental, technological and managerial issues in developing and applying intelligent analytics with multi-industry applications remain open. For example, what is the foundation of intelligent analytics? what are the elements of intelligent analytics? What are the real big characteristics of intelligent analytics? How can apply intelligent analytics to improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation and industries? What is the effect of intelligent analytics on business, management, the Internet of things, cloud computing, blockchain, service and society? This book will address these issues by exploring the cutting-edge theory, technologies and methodologies of intelligent analytics with multi-industry applications and emphasize integration of AI, business intelligence, big data/information/knowledge/wisdom, and analytics from a perspective of computing, service and management. This book also provides applications of the proposed theory, technologies and methodologies of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud and service) commerce and services, healthcare, the Internet of things, sharing economy, cloud computing, blockchain, and Industry 4.0 in the real world. This book titled “Intelligent Analytics with Multi-industry Applications” is the first book to reveal the cutting-edge theory, technologies, methodologies of intelligent analytics with applications. This is also the first book demonstrating that intelligent analytics is an important enabler for developing cloud computing, 5G, blockchains, digital transformation, business, management, governance and services in multi-industry applications. The proposed approaches will facilitate research, development and applications of intelligent analytics, big data/information/knowledge/wisdom analytics, data science, digital transformation, e-business and web service, service computing, cloud computing and social computing. Aims, Scope and Target Audience This book’s primary aim is to convey the foundations, technologies, thoughts, and methods of intelligent analytics with multi-industry applications to scientists, engineers, educators and university students, business, service and management professionals, policy makers and decision makers and others who have interest in big data, big information, big knowledge and big intelligence and wisdom, intelligent analytics, AI, cloud computing, the Internet of things (IoT), digital transformation, SMACS intelligence and computing, commerce and service as well as data science, information science, and knowledge science. Primary audiences for this book are undergraduate, postgraduate students and variety of professionals in the fields of big data, data science, information science and technology, knowledge technology and engineering, intelligence science, analytics, AI, computing, commerce, business, services, management and government. The variety of readers in the fields of government, consulting, marketing, business and trade as well as the readers from all the social strata can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies and applications of intelligent analytics with applications. Papers as book chapters of all theoretical and technological approaches, and applications of intelligent analytics are welcome. Submissions that cross multiple disciplines such as management, service, business, artificial intelligence, intelligent systems, data science, optimization, statistics, information systems, decision sciences, and industries to develop theory and provide technologies and applications that could move theory and practice forward in intelligent analytics, are especially encouraged. Topics Topics of contributions to this book include four parts: foundations, technologies, applications and emerging technologies and applications of intelligent analytics as follows. Part I. Foundations of intelligent analytics Topics: fundamental concepts, models/architectures, frameworks/schemes or foundations for developing, operating, evaluating, managing intelligent analytics. The following topics might also include, but not limited to. • Intelligent analytics as a Science and Technology (IAaaST) • Big Data science • Big Data intelligence • Intelligent Analytics for big data, information, knowledge, intelligence and wisdom • Intelligent analytics in business ecosystems • Decision science for intelligent analytics • Computing and foundations of intelligent analytics • New computational models for Big Data • Mathematical fundamentals of intelligent Big Data analytics • Fuzzy logic approach to intelligent analytics • Graph theory for intelligent analytics • ICT fundamentals for analytics • Intelligent visualization techniques for analytics • Statistical modelling for intelligent analytics • Machine learning for intelligent analytics • Optimization techniques for intelligent analytics • Data mining for intelligent analytics • Business models for intelligent analytics • Real-time algorithms for intelligent analytics • Computing thinking for intelligent analytics Part II. Technologies for intelligent analytics Topics: Technologies for developing intelligent analytics might also include the following topics, but not limited to. * Intelligent Analytics as a System (IAaaSy) * Intelligent Analytics as a Service (IAaaSe) * Intelligent Analytics as a Management (IAaaM) * Intelligent Analytics as a Business (IAaaB) * Rule-based systems, * Machine learning, * Multi-agent systems, * Neural networks systems, * Fuzzy logic, * Cased-based reasoning, * Genetic algorithms, * Data mining algorithms, * Intelligent agents, * Intelligent user interfaces * Web technologies, * Intelligent big data/information/knowledge technologies, * Intelligent service technologies, * Social networking technologies, * Intelligent decision technologies, * Intelligent management technologies and business technologies. * Machine-to-machine communication Part III. Multi-industry Applications of intelligent analytics Topics: cases for using foundations and technologies in Part I, II in multi-industry applications and various domains such as digital transformation, blockchain, 5G, SMACS computing, commerce and services, financial services, legal services, healthcare services, educational services, and military services taking into account intelligent diagnostic, descriptive, predictive and prescriptive analytics. The following topics might also include, but not limited to. * Intelligent Analytics as an application * Intelligent analytics with applications * Intelligent analytics-based innovation and entrepreneurship * Intelligent analytics in business ecosystems * Intelligent analytics with public and open data * Intelligent analytics and markets * Intelligent analytics for e-commerce * Intelligent analytics for cloud computing * Intelligent analytics for IoT * Intelligent analytics for blockchain * Intelligent analytics for 5G applications * Intelligent analytics in business decision making * Intelligent analytics in healthcare * Marketing Analytics * Intelligent analytics in banking industry * Intelligent analytics in social networking services * Intelligent analytics for Big Data, information, knowledge and intelligence * Cybersecurity and privacy issues in Intelligent analytics. * Intelligent analytics for management * Intelligent analytics for risk management * Organization analytics Part IV. Emerging technologies and applications for intelligent analytics Topics: Emerging technologies, methodologies, and applications for intelligent analytics. The following topics might also include, but not limited to * Emergent AI-based technologies * Emergent intelligent analytics technologies * Challenges for intelligent big data analytics * Challenges for intelligent big information analytics * Challenges for intelligent big knowledge analytics * Challenges for intelligent analytics research * Challenges for intelligent analytics applications * Challenges for intelligent analytics tools Submission Procedure Please submit a brief summary (abstract) consisting of title and round 150-200 words for the proposed chapter clearly identifying the main objectives of your contribution online by clicking “propose a chapter” at https://www.igi-global.com/publish/call-for-papers/call-details/4539 or to the editor at zhaohao.sun(a)gmail.com by March 30, 2020. Authors of the accepted proposals will be notified and provided with detailed guidelines. Full chapters are to be submitted by May 30, 2020. Submission Format and Evaluation This book will be developed using the eEditorial Discovery™ online submission manager. Therefore, all manuscripts of book chapter must be submitted online using https://www.igi-global.com/submission/submit-chapter/?projectid=8480e8ad-d6… Every book chapter submission should consist of 8,000-12,000 words, and be structured into sections including Abstract, Introduction, background (or related work), main sections, future research directions, conclusion, references. Every book chapter must be submitted in Microsoft® Word, and be typewritten in English in APA style based on “manage source” and “insert citation” function. Every book chapter submission is original. Only ORIGINAL articles will be accepted for publication by IGI-Global. Upon acceptance of your article, you will be required to sign a warranty that your article is original and has NOT been submitted for publication or published elsewhere. All chapter submissions undergo a double-blind peer-review using the eEditorial Discovery™ online submission manager. Conditioned chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among: accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines. Important Dates * March 30, 2020: Proposal Submission Deadline * April 10, 2020: Notification of Acceptance * May 10, 2020: Full Chapter Submission * July 8, 2020: Review Results Returned * August 19, 2020: Final Acceptance Notification * September 2, 2020: Final Chapter Submission. * September – November 2020: estimated publishing period. Editor Information Prof. Dr. Zhaohao Sun, Ph.D. 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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