Cfp June 2022

cfp@alice.wu.ac.at

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Fwd: [AISWorld] Call for Chapters-HANDBOOK ON ARTIFICIAL INTELLIGENCE AND SERVICES
by Gustaf Neumann 02 Jun '22

02 Jun '22

-------- Forwarded Message -------- Subject: [AISWorld] Call for Chapters-HANDBOOK ON ARTIFICIAL INTELLIGENCE AND SERVICES Date: Thu, 2 Jun 2022 08:38:11 +0000 From: Ada Scupola <ada(a)ruc.dk> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear colleagues, We would like to invite you to contribute a chapter to an edited book entitled "HANDBOOK ON ARTIFICIAL INTELLIGENC AND SERVICES" to be published by Edward Elgar latest in April 2024 Abstracts should be about 500 words Final Chapters should be about 5,000-8000 words Background Artificial intelligence (AI) is increasingly attracting scholarly attention in service research. AI, in fact, is getting more and more applied and used in service organizations, both private and public, thus impacting both the organizations and their interactions with customers/citizens. Although research on the intersection between AI and services is increasing, it remains an emerging and unexplored research field in terms of conceptual clarity, theoretical understanding and empirical studies as well as ethical, legal and policy issues. This handbook aims to provide a comprehensive overview and understanding of AI in service industries by collecting a rich body of studies investigating the phenomenon from theoretical and empirical perspectives. This handbook especially aims to provide state of the art conceptual and empirical research concerning uses and applications of AI in different service sectors and from different perspectives. Topics of Interest We seek chapters providing state of the art research within, but not limited to, the following broad themes. Both conceptual and empirical papers are welcome. PART I: MAPPING CONCEPTUAL RESEARCH ON AI AND SERVICES * Understanding the Intersection between Services and Artificial Intelligence * Conceptualizing and Theorizing Artificial Intelligence and Services * Analyzing Artificial Intelligence and Services * AI and Value Creation * Others PART II: FRAMING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE CONTEXT OF SERVICES · AI and customer relationship management · AI and Service encounter · AI, services and the sociology of technology · AI and service innovation · AI and Back Office · AI and Front Office (e.g. Chat bot) · AI and self service · AI and Augmented Intelligence · AI and Employment in Services PART III: EMPIRICAL STUDIES OF AI IN SERVICE SECTORS · AI and Manual services (e.g., repairing and maintenance of technical equipment, facilities management) · AI and Business Services (e.g., lawyers, accountant, etc.) · AI and Public services (e.g., elderly care, state and municipal services, libraries, education, health care services, taxation, etc.) · AI and Personal Services (e.g., tourism, medical services) · AI and service design PART IV: AI AND ETHICAL ISSUES * Algorithmic transparency/accountability/ explainability * Privacy and data protection issues * AI and Human Rights PART V: AI AND POLICY AND GOVERNANCE ISSUES * Governing AI * AI risks and guidelines for AI * Data-driven policy making * AI-adoption and public value perspectives * AI and representation of constituencies in public administration * AI guidelines and compliance * AI policy and regulation PART VI: EMERGING THEMES The chapters will undergo a review process where the authors may be invited to review other chapters. Important Dates Abstracts of 500 words due: September 1, 2022 Acceptance of Abstracts: October 1, 2022 Full Chapters due: February 1, 2023 Reviews to authors: May 1, 2023 Final Chapters due August 1, 2023 Final Acceptance October 1, 2023 Book published in Spring 2024 We consider organizing a workshop online or hybrid to discuss the abstract and/or the full chapters. Authors of accepted abstracts will be notified about this at a later point. To submit your abstracts/chapters or for any question, please email one of the editors: Prof. Ada Scupola, Roskilde University, Denmark, ada(a)ruc.dk<mailto:ada@ruc.dk>; Prof. Anders Hansen Henten, Aalborg University, Denmark, henten(a)es.aau.dk<mailto:henten@es.aau.dk>; Prof. Lars Fuglsang, Roskilde University, Denmark, fuglsang(a)ruc.dk<mailto:fuglsang@ruc.dk>; Prof. Jon Sundbo, Roskilde University, Denmark, sundbo(a)ruc.dk<mailto:sundbo@ruc.dk> . Best Regards/Med venlig hilsen Ada Scupola Professor (MSO) [RUC] Roskilde University Department of Social Science and Business Universitetsvej 1 DK-4000 Roskilde Telefon: +4546742598 ruc.dk https://forskning.ruc.dk/da/persons/ada https://forskning.ruc.dk/da/organisations/innovation-i-service-og-oplevelse https://www.co-val.eu/ https://ruc.dk/forskningsprojekt/tvaerinstitutionel-platform-om-kunstig-int… facebook.com/ruc.dk twitter.com/roskildeuni instagram.com/roskildeuniversitet Recent Publications Scupola, A., & Mergel, I. (Accepteret/In press). Co-Production in Digital Transformation of Public Administration and Public Value Creation: The case of Denmark. Government Information Quarterly. Scupola, A., & Nicolajsen, H. W. (Accepteret/In press). Enterprise Crowdsourcing and Organizational Culture: Lessons from an Engineering Consultancy. International Journal of e-Services and Mobile Applications, 13(2). Hansen, A. V., Fuglsang, L., Gallouj, F., & Scupola, A. (2021). Social Entrepreneurs as change makers: expanding public service networks for social innovation. Public Management Review , Latest articles. https://doi.org/10.1080/14719037.2021.1916065 Engen, M., Fuglsang, L., Tuominen, T., Sundbo, J., Møller, J. K., Scupola, A., & Sørensen, F. (2021). Conceptualising Employee Involvement in Service Innovation: An Integrative Review. Journal of Service Management, 32(5), 702-751. https://doi.org/10.1108/JOSM-11-2019-0348 Nicolajsen, H. W., Matthiasen , L., & Scupola, A. (2019). IT-enabled Idea Competitions for Organizational Innovation: An Inquiry into Breakdowns and Adaptations. Creativity and Innovation Management, 28(4), 436-449. https://doi.org/10.1111/caim.12330 Scupola, A. (2018). Digital Transformation of Public Administration Services in Denmark: A Process Tracing Case Study. Nordic and Baltic Journal of Information and Communications Technologies, 2018(1), 261-284. https://doi.org/10.13052/nbjict1902-097X.2018.014

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Fwd: [AISWorld] MIS Quarterly Executive: June 2022 TOC
by Gustaf Neumann 02 Jun '22

02 Jun '22

-------- Forwarded Message -------- Subject: [AISWorld] MIS Quarterly Executive: June 2022 TOC Date: Thu, 2 Jun 2022 08:04:27 +0000 From: MISQ Executive EiC - Gabe Piccoli <misqe_eic(a)aisnet.org> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleagues, The June 2022 Issue of MIS Quarterly Executive is now available at: https://aisel.aisnet.org/misqe/ The table of contents includes the following contributions: Editor’s Comments Gabriele Piccoli Message from SIM Mark Taylor and Mary Summer Articles Key Lessons from Bosch for Incumbent Firms Entering the Platform Economy Daniel Hodapp, Florian Hawlitschek, Felix Wortmann, Marco Lang, and Oliver Gassmann Best Practices for Leveraging Data Analytics in Procurement Benjamin B. M. Shao, Robert D. St. Louis, Karen Corral, and Ziru Li Building an Artificial Intelligence Explanation Capability Ida Someh, Barbara H. Wixom, Cynthia M. Beath, and Angela Zutavern How Verizon Media Built a Cybersecurity Culture Keri Pearlson, Josh Schwartz, Sean Sposito, and Masha Arbisman Read on! Gabe Piccoli Editor in Chief _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] Final Call: HICSS-56 Minitrack: Data Spaces for Sustainability and Resilience in Manufacturing
by Gustaf Neumann 02 Jun '22

02 Jun '22

-------- Forwarded Message -------- Subject: [WI] Final Call: HICSS-56 Minitrack: Data Spaces for Sustainability and Resilience in Manufacturing Date: Thu, 2 Jun 2022 10:19:07 +0200 From: Prof. Dr. Matthias Jarke <jarke(a)dbis.rwth-aachen.de> Reply-To: Prof. Dr. Matthias Jarke <jarke(a)dbis.rwth-aachen.de> To: wi(a)lists.kit.edu Hawaii International Conference on System Sciences (HICSS-56) January 3-6, 2023 Maui, Hawaii Track: Internet and the Digital Economy Minitrack “Data Spaces for Sustainability and Resilience in Manufacturing” https://internet-of-production.github.io/HICSS-56-Data-Spaces-for-Sustainab… Deadline for submissions: June 15, 2022 Industry has a particular responsibility to shape the transformation from our current economy into an ecologically and socially sustainable one. Additionally, the COVID-19 pandemic demonstrates how unexpected events can disrupt entire global logistics chains in short time. The resulting demand for change, combining sustainability and resilience aspects, poses enormous challenges for industrial production. At the same time, the ongoing digitalization and networking of industrial value chains – summarized as the fourth industrial revolution or Industry 4.0 – offer new opportunities and capabilities to reach these objectives. We see sustainability as a driver of structural change: In parallel to our current digital transformation, we need a sustainability transformation of today’s value creation and production models into future-proof resilient approaches. The objective of this minitrack is to foster a discussion how new information & communication systems can foster sustainability and resilience in the next generation of production systems. Data-enriched views on processes and an increasing information capability (in real-time, complete, distributed) are the underlying principles of improving the efficiency of processes and avoiding waste over the complete life cycle of products and industrial assets. A main enabler in this regard is cross-company data spaces. They link classic “data silos” even across company boundaries. Supported by a combination of optimization, simulation, artificial intelligence and machine learning, new insights can be created. In this minitrack, we aim to provide a forum for researchers and practitioners to discuss novel approaches in dealing with sustainability through resilient information systems and connected data spaces. Particularly, we invite submissions that discuss cross-organizational aspects of data sharing, e.g., to enable analyzing issues of sustainability and resilience across entire value chains. Areas of focus and interest of this minitrack include, but are not limited to: * Designing information systems for sustainable engineering, production, usage, and recycle/refurbish * Resource efficiency through digitally supported product life extension * Resilience and sustainability by design * Resilience in digital supply networks * Resilience and sustainability by design * Reactive hybrid intelligence for dealing with unexpected disruptions * Data sovereignty and data cooperation for sustainability * Lifetime synchronization of heterogeneous cyber-physical production systems * Sustainability through data-enriched supply chains * Process mining to enable sustainability-driven data analytics * Digital data-driven business models as enabler of sustainability in manufacturing * Sustainability impact of (platform-based) production ecosystems * Rebound effects managing the trade-off between sustainability gains by IS and digitalization vs IT resource consumption Important Dates April 15, 2022: Paper submission system opened for HICSS-56 June 15, 2022 | 11:59 pm HST: Paper submission deadline August 17, 2022: Notification of acceptance/rejection September 4, 2022: Deadline for authors (whose papers are conditionally accepted) to submit a revised manuscript September 22, 2021: Deadline for authors to submit final manuscript for publication October 1, 2021: Deadline for at least one author of each paper to register for the conference October 22, 2022: Deadline for the paper production fee payment January 3-6, 2023: HICSS-56 conference Minitrack Co-Chairs: Matthias Jarke (Primary Contact) RWTH Aachen University jarke(a)dbis.rwth-aachen.de Hoda ElMaraghy University of Windsor hae(a)uwindsor.ca <mailto:hae@uwindsor.ca> István Koren RWTH Aachen University koren(a)pads.rwth-aachen.de Frank Piller RWTH Aachen University piller(a)time.rwth-aachen.de -- 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: [WI] WI-IAT' 22 CfPs [Extended Deadline]
by Gustaf Neumann 02 Jun '22

02 Jun '22

-------- Forwarded Message -------- Subject: [WI] WI-IAT' 22 CfPs [Extended Deadline] Date: Thu, 2 Jun 2022 17:26:07 +0900 From: H.Z. Kuai <hongzhi.kuai(a)gmail.com> Reply-To: H.Z. Kuai <hongzhi.kuai(a)gmail.com> To: agents(a)cs.umbc.edu, fca-list(a)cs.uni-kassel.de, iefac.list(a)mailhost.ces.clemson.edu, neuromail(a)brain.riken.jp, s-news(a)lists.biostat.wustl.edu, wi(a)aifb.uni-karlsruhe.de, pvs(a)csl.sri.com, connectionists(a)cs.cmu.edu, Lprolog(a)cs.umn.edu, computational.science(a)lists.OptimaNumerics.com <computational.science(a)lists.optimanumerics.com>, types-announce(a)lists.seas.upenn.edu, types-list(a)lists.seas.upenn.edu, ai-grid(a)mailman.isi.edu, Vki-list(a)dfki.de, Ak-kd-list(a)aifb.uni-karlsruhe.de [Apologies if you receive this more than once] +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 21st IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '22) November 17-20, 2022, Niagara Falls, Canada A hybrid conference with both online and offline modes Web Intelligence = AI in the Connected World Homepage: https://www.wi-iat.com/wi-iat2022/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Full Papers Submission Deadline: June 30, 2020 (Extended) Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society * Award Information * * Two Student Travel Awards (US$500 Each) * Two Student Awards (Non-travel, US$500 Each) * Two Volunteer Awards (US$500 Each) * One Best Paper Award (US$1000) WI-IAT 2022 Special Event: - Web Intelligence Journal Special Issue: 20 Years of Web Intelligence https://www.iospress.com/catalog/journals/web-intelligence ************************************** WI-IAT 21st Keynote Speakers: ************************************** https://www.wi-iat.com/wi-iat2022/projects-KeynoteSpeakers.html - Ophir Frieder Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineering (IEEE) Georgetown University, USA - Kevin Leyton-Brown Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) Fellow of the Association of Computing Machinery (ACM) University of British Columbia, Canada - Ming Li Fellow of the Royal Society of Canada Fellow of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineering (IEEE) University of Waterloo, Canada - Witold Pedrycz Fellow of the Royal Society of Canada Fellow of the Institute of Electrical and Electronics Engineering (IEEE) University of Alberta, Canada - Yiyu Yao Fellow of the International Rough Set Society (IRSS) University of Regina, Canada More to be announced later. ACCEPTED WORKSHOPS/SPECIAL SESSIONS ++++++++++++++++++++++++++++++++++++++ https://www.wi-iat.com/wi-iat2022/Workshops-Special-Sessions.html WS01: The 11th International Workshop on Intelligent Data Processing (IDP) WS02: The 7th International Workshop on Application of Big Data for Computational Social Science (ABCSS2022) WS03: The 7th International Workshop on Integrated Social CRM (iCRM 2022) WS04: The 5th International Workshop on Social Media Analytics for Health intelligence (SMA4H) WS05: The International Workshop on Personalized QA and its Applications (PQAIA) WS06: The 2nd International Workshop on Expert Recommendation for Community Question Answering (XPERT4CQA) WS07: The International Workshop on Data Analytics on Social Media (DASM’22) WS08: The 15th Natural Language Processing and Ontology Engineering (NLPOE2022) WS09: The 1st International Workshop on the Fundamentals and Advances of Recommendation System (FA-RS) WS10: The International Workshop on Affective Computing and Emotion Recognition (ACER-EMORE2022) WS11: The International Workshop on Telemedicine System WS12: The International Workshop on Web Intelligence meets Brain Informatics (WImBI’22) More to be announced later. The 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '22) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Web Intelligence and Intelligent Agent Technology research and applications. Academia, professionals and industry people can exchange their ideas, findings and strategies in utilizing the power of human brains and man-made networks to create a better world. More specifically, the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, and emerging Web in health and smart living in the 5G Era. Therefore, the theme of WI-IAT '22 will be “Web Intelligence = AI in the Connected World”. After the great successful online WI-IAT'20 and hybrid WI-IAT'21 during the global pandemic, WI-IAT'22 will be held in Niagara Falls, Canada, and once again, in the hybrid mode. WI-IAT '22 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. TRACKS AND TOPICS ++++++++++++++++++ Track 1: Web of People * Crowdsourcing and Social Data Mining * Human-Centric Computing * Information Diffusion * Knowledge Community Support * Modelling Crowd-Sourcing * Opinion Mining * People Oriented Applications and Services * Recommendation Engines * Sentiment Analysis * Situational Awareness Social Network Analysis * Social Groups and Dynamics * Social Media and Dynamics * Social Networks Analytics * User and Behavioural Modelling Track 2: Web of Data * Algorithms and Knowledge Management * Autonomy-Oriented Computing (AOC) * Big Data Analytics * Big Data and Human Brain Complex Systems * Cognitive Models * Computational Models * Data-Driven Services and Applications * Data Integration and Data Provenance * Data Science and Machine Learning * Graph Isomorphism * Graph Theory * Information Search and Retrieval * Knowledge Graph * Knowledge Graph and Semantic Networks * Linked Data Management and Analytics * Self-Organizing Networks * Semantic Networks * Sensor Networks * Web Science Track 3: Web of Things * Complex Networks * Distributed Systems and Devices * Dynamics of Networks * Industrial Multi-Domain Web * Intelligent Ubiquitous Web of Things * IoT Data Analytics * Location and Time Awareness * Open Autonomous Systems * Streaming Data Analysis * Web Infrastructures and Devices Mobile Web * Wisdom Web of Things (W2T) Track 4: Web of Trust * Blockchain analytics and technologies * Fake content and fraud detection * Hidden Web Analytics * Monetization Services and Applications * Trust Models for Agents * Ubiquitous Computing * Web Cryptography * Monetization services and applications * Web safety and openness Track 5: Web of Agents * Agent Networks * Autonomy Remembrance Agents * Autonomy-oriented Computing * Behaviour Modelling * Distributed Problem-Solving Global Brain * Edge Computing * Individual-based Modelling Knowledge * Information Agents * Local-Global Behavioural Interactions * Mechanism Design * Multi-Agent Systems * Network Autonomy Remembrance Agents * Self-adaptive Evolutionary Systems * Self-organizing Systems * Social Groups and Dynamics Special Track: Emerging Web in Health and Smart Living * Big Data in Medicine * City Brain and Global Brain * Digital Ecosystems * Digital Epidemiology * Health Data Exchange and Sharing * Healthcare and Medical Applications and Services * Omics Research and Trends * Personalized Health Management and Analytics * Smart City Applications and Services * Time Awareness and Location Awareness Smart City * Wellbeing and Healthcare in the 5G Era IMPORTANT DATES +++++++++++++++ June 23, 2022: Workshop Proposal Submission June 30, 2022 (Extended): Full Papers Submission August 20, 2022: Paper Acceptance Notification August 20, 2022: Early Registration Opens September 7, 2022: Camera-ready Submission November 17, 2022: Workshops and Special Sessions November 18-20, 2022: Main Conference PAPER SUBMISSION ++++++++++++++++ Papers must be submitted electronically via CyberChair in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. Main Conference Paper Submission: https://www.wi-iat.com/wi-iat2022/Participant-Submission.html Workshops and Special Sessions Paper Submission: https://www.wi-iat.com/wi-iat2022/Workshops-Special-Sessions.html Organization Structure ++++++++++++++++++++++ General Chairs * Gabriella Pasi, University of Milano-Bicocca, Italy * Jimmy Huang, York University, Canada * Jie Tang, Tsinghua University, China * Christopher W. Clifton, Purdue University, USA Program Committee Chairs * Jiashu Zhao, Wilfrid Laurier University, Canada * Ebrahim Bagheri, Ryerson University, Canada * Norbert Fuhr, University of Duisburg-Essen, Germany * Atsuhiro Takasu, National Institute of Informatics, Japan * Yixing Fan, Chinese Academy of Sciences, China Local Organizing Chairs * Mehdi Kargar, Ryerson University, Canada * George J. Georgopoulos, York University, Canada Workshop/Special Session Chairs * Hiroki Matsumoto, Maebashi Institute of Technology, Japan * Ameeta Agrawal, Portland State University, USA * Cathal Gurrin, Dublin City University, Ireland * Chao Huang, University of Hong Kong, China Publicity Chairs * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Yang Liu, Wilfrid Laurier University, Canada * Yan Ge, University of Bristo, UK Tutorial Chair * Vivian Hu, Ryerson University, Canada Industry Chairs * Stephen Chan, Dapasoft, Canada * Long Xia, Baidu, China WIC Steering Committee Chairs * Ning Zhong, Maebashi Institute of Technology, Japan * Jiming Liu, Hong Kong Baptist University, HK, China WIC Executive Secretary * Xiaohui Tao, University of Southern Queensland, Australia -- 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 Journal articles, extension
by Gustaf Neumann 02 Jun '22

02 Jun '22

-------- Forwarded Message -------- Subject: [AISWorld] CFP Journal articles, extension Date: Thu, 2 Jun 2022 03:19:08 +0000 From: Mārīte Kirikova <Marite.Kirikova(a)rtu.lv> To: AISWorld <aisworld-bounces(a)lists.aisnet.org>, AISWorld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Complex Systems Informatics and Modeling Quarterly (CSIMQ) Issue 31 Call for Papers Submission deadline: May 31, 2022 June 15, 2022 (extended) Submission site: https://csimq-journals.rtu.lv/about/submissions#onlineSubmissions The earliest publication date: July 29, 2022 CSIMQ is an Open Access journal that publishes peer-reviewed original research articles reporting on studies of the structure, algorithms, behavior, and interactions of natural, social, socio-technical, and artificial systems that store, process, access, and communicate information. It concerns data, information, and knowledge fundamentals, models, and management from the points of view of their discovery, engineering, and application. The articles shall address the topics of the following areas: Social, Socio-technical, Organization and Business Informatics, which includes but is not limited to · Social Systems Informatics · Socio-technical Systems Informatics · Organization Informatics · Business Informatics · Natural Systems Informatics · Artificial Systems Informatics High Complexity Information Systems Engineering, which includes but is not limited to · Intelligent Systems Engineering · Complex Systems Modeling and Software Development · Adaptive and Adaptable Information Systems Engineering · Networked Systems Engineering · Emergent and Virtual Systems Engineering Data and Knowledge Analytics, which includes but is not limited to · Data Intensive Computing · Semantic Data Analysis and Management · Big Data Analytics · Knowledge Analytics · Business Analytics · Social Networks Analytics Supercomputing, which includes but is not limited to · High Performance Computing · High Throughput Computing · Grid Computing · Cloud Computing · Supercomputing for Engineering Applications · Mathematical and Analytical Methods for Scientific Computing · Supercomputing for Social Systems The main principles of the journal are the following: · Usefulness and relevance of papers · Comfort for authors and readers · Flexibility in publishing The journal is free of charge, i.e. no fees are charged for manuscript processing and publishing and article download. Each submitted article (before the start of the peer review process) is first processed by plagiarism control system and goes through the initial quality checking. ISSN: 2255-9922; indexed in DOAJ, DBLP, EBSCO, NSD; website: https://csimq-journals.rtu.lv/

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Fwd: [WI] PoEM 2022 CfP - 15th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling
by Gustaf Neumann 01 Jun '22

01 Jun '22

-------- Forwarded Message -------- Subject: [WI] PoEM 2022 CfP - 15th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling Date: Wed, 1 Jun 2022 15:30:55 +0000 From: Gulden, J. (Jens) <j.gulden(a)uu.nl> Reply-To: Gulden, J. (Jens) <j.gulden(a)uu.nl> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> PoEM 2022 Call for Papers November 23-25, 2022, London, UK http://poem2022.mdx.ac.uk/ The 15th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM) takes place in London, UK, on November 23 - 25. It is hosted by the Middlesex University London. The working conference aims to improve the understanding of the practice of Enterprise Modelling (EM) by offering a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. IMPORTANT DATES Abstract submission (not mandatory): July 8, 2022 Paper submission deadline: July 15, 2022 Notification: September 5, 2022 Conference: November 23-25, 2022 PoEM 2022 invites you to contribute by submitting paper(s) on topics related to Enterprise modelling. This year, the theme of the conference is Enterprise Modelling and Model-based Development and Engineering. The theme reflects the importance of Enterprise modelling methods, techniques and tools in the development of complex solutions and systems, for example in the context of digital transformation, implementation of Artificial Intelligence, Internet-of-Things, Big Data solutions or Information and Software Systems. The diversity of stakeholders and variety of modelling techniques and perspectives to be integrated requires agile ways of working and techniques for efficiently dealing with unexpected changes. The field of Enterprise Modelling should seek to support these challenges by providing methods and tools, as well as investigating and reporting on the current state-of-research and state-of-practice. PoEM 2022 welcomes submissions addressing the above main theme, the topics listed below and combinations of both. Enterprise modelling languages for model-based engineering (MBE) Model Integration Tools and Methodologies for Enterprise Modelling Practices for Enterprise Modelling and Model-based Engineering Modelling in Industry 4.0, Cyber-Physical Systems, and Digital Twins Sociotechnical theory and Enterprise Modelling Modelling for AI solutions and Big Data applications Enterprise Modelling Theory, Practice, Case studies and Action Research Human Aspects of Enterprise Modelling Participatory and Collaborative Modelling Modelling Data -driven Organisations Agile Enterprise Modelling Meta-Modelling Quality and Validation of Enterprise Models Conceptualisations, Notations, Ontologies and Multi-Level Enterprise Modelling Value of Enterprise Modelling Knowledge Management and Enterprise Modelling Modelling Enterprise Security, Risk, Privacy and Regulatory Compliance Organisational and Resource Modelling SUBMISSIONS Types of papers: * Research papers describe original research contributions in Enterprise Modelling (max. 15 pages) * Practitioner/Experience papers present problems, challenges or experience related to any aspect of Enterprise Modelling encountered in practice (max. 15 pages) * Short papers can be used to present work in progress and emerging Enterprise Modelling challenges (max. 10 pages) Submission format: Springer LNBIP https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… Submission site: https://easychair.org/conferences/?conf=poem2022 PUBLICATIONS Accepted research and experience papers will be published in Springer Lecture Notes in Business Information Processing (LNBIP, indexed in Scopus, Web of Science, DBLP). PoEM FORUM papers and workshop papers will be published in the CEUR proceedings series. -- Dr. Jens Gulden Business Process Management and Analytics Department of Information and Computing Sciences Utrecht University Buys Ballotgebouw, Princetonplein 5, room 512 3584 CC Utrecht, The Netherlands mailj.gulden(a)uu.nl tel +31 30 2537088 -- Mailing-Liste:wi@lists.kit.edu Administrator:wi-request@lists.kit.edu Konfiguration:https://www.lists.kit.edu/wws/info/wi

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Fwd: [AISWorld] [Springer Book] Call for Direct submission of full chapters: Advanced AI and Internet of Health Things Technologies for Combating Pandemic
by Gustaf Neumann 01 Jun '22

01 Jun '22

-------- Forwarded Message -------- Subject: [AISWorld] [Springer Book] Call for Direct submission of full chapters: Advanced AI and Internet of Health Things Technologies for Combating Pandemic Date: Tue, 31 May 2022 21:11:47 +0100 From: mohamed Lahby <lahby(a)ieee.org> To: aisworld(a)lists.aisnet.org [Apologies, if you receive multiple copies of this CFC] Dear Colleagues/Friends/Students/Fellows, Please find a Call for Chapters below. The deadline is short. We are looking for a few more high-quality chapters to be added to this book's current content. The deadline for submission of proposal is: *July, 31th, 2022.* Those who have got their proposals accepted or chapters submitted may ignore this and encourage others to contribute only high-quality chapters. Regards, M. LAHBY Editor ==================================================================================================== *Call for Book Chapters (Free publication)* *Edited Book: Advanced AI and Internet of Health Things Technologies for Combating Pandemic* *Publication in "Internet of Things <https://www.springer.com/series/11636>", by Springer Ranked Q1 and indexed by (Scopus)* *Call for Chapters: **Call for Chapters Link <https://sites.google.com/view/ioht-pandemic-book/home-page?authuser=0>* *Submission link: Submission link <https://easychair.org/conferences/?conf=2a2ih2tcp>* *Chapter Submission Deadline: July 31th, 2022 * ----------------------------------------------------------------------------- Editors of the Springer Book "*Advanced AI and Internet of Health Things Technologies for Combating Pandemic*" invites submissions containing Original, High Quality Ideas that are relevant to the SCOPE OF THE BOOK. The chapter proposal may kindly be sent in Latex or Word format. EXPERIENCED Authors and Contributors in the field of Artificial Intelligence and Internet of Health Things Technologies for combating Pandemic may kindly submit their chapter. All chapter proposals that conform to submission guidelines will be peer reviewed and evaluated based on originality, technical and research content, depth, correctness, relevance to scope of the book and readability. For details the following website may kindly be referred: ------------------------------------------------------ Call for chapters Website <https://sites.google.com/view/ioht-pandemic-book/home-page?authuser=0> *Topics of Interest:* This book targets a mixed audience of researchers, academics and professionals from different communities to share and exchange new ideas, approaches, theories and practices to resolve the challenging issues associated with the leveraging of combating Pandemic with computational intelligence techniques and Internet of Health Things. Therefore, the suggested topics of interest for this book include, but are not limited to: - Machine Learning for COVID-19 or other pandemic - Deep Learning for COVID-19 or other pandemic - Big Data for COVID-19 or other pandemic - Blockchain technology for COVID-19 or other pandemic - IoT solutions for COVID-19 or other pandemic - Edge computing for COVID-19 or other pandemic - Software-Defined Networking (SDN) solutions for COVID-19 or other pandemic - 5G/6G for combating the COVID-19 or other pandemic - Telemedicine and mHealth solutions - Data mining of medical patient records - Internet of Medical Things (IoMT) for COVID-19 or other pandemic - Security and privacy issues - Cloud Computing Security for COVID-19 or other pandemic - Smart city for combating the COVID-19COVID-19 or other pandemic - Data model for COVID-19 or other pandemic - Mobile technology solutions for COVID-19 or other pandemic *Submission Procedure:* Authors are invited to submit their full chapters by *July 31, 2022*. Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. Submitted manuscripts should respect the standard guidelines of the Springer book chapter format. Manuscripts must be prepared using Latex, or Word, and according to the Springer requirements that can be downloaded from the (*link <https://www.springer.com/de/authors-editors/book-authors-editors/resources-…>*) and the Chapter should contain in between *15-24 pages*. Manuscripts that do not follow the formatting rules will be rejected without review. Prospective authors should send their manuscripts electronically through the easychair submission system as mentioned below: *Submission Link:* https://easychair.org/conferences/?conf=2a2ih2tcp *NB:* There are *no submission or acceptance fees* for manuscripts submitted to this book publication. All manuscripts are accepted based on a double-blind peer review editorial process. *Abstracting and Indexing:* The accepted chapters will be published in "*Internet of Things <https://www.springer.com/series/11636>*" by *Springer*, *Rank= Q1*, highly indexed in *Scopus, EI, DBPL, etc*… *Contact: * For questions regarding the book, please contact the *Lead volume editor*: *Mohamed Lahby*: lahby <mlahby(a)gmail.co>@ieee.org Best regards _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Final CALL FOR BOOK CHAPTERS to book: Driving Socioeconomic Development with Big Data
by Gustaf Neumann 01 Jun '22

01 Jun '22

-------- Forwarded Message -------- Subject: [AISWorld] Final CALL FOR BOOK CHAPTERS to book: Driving Socioeconomic Development with Big Data Date: Wed, 1 Jun 2022 15:30:08 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org CC: Rowan Rumbaugh <rrumbaugh(a)igi-global.com> Final CALL FOR BOOK CHAPTERS Book: *Driving Socioeconomic Development with Big Data**: Theories, Technologies, and Applications* Edited by Prof. Dr. Zhaohao Sun To be published by *IGI Global, USA* Introduction Big data has become one of the most important frontiers for research and development in academia and industries. Big data has also become the strategic resource of an organization and a country. Big data technologies have made significant progress since 2012 with the dramatic progress of artificial intelligence and data science. As a kind of big data technology, big data analytics is at the heart of any business, management, decision-making, and socio-economic development. Big data and its emerging technologies including big data analytics have been revolutionizing our work, live styles, economies, and societies. Big data and big data analytics have increasingly become critical elements for nearly all industries and keys to a successful digital business and intelligent business. Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. The socio-economic development depends not only on big data but also on big data technologies including big data analytics. However, the following research challenges have not drawn much attention in academia and industries. Why does big data matter to socioeconomic development? What is the relationship between big data and socioeconomic development? How can big data contribute to socioeconomic development? How can we apply big data, big data technologies including big data analytics to expedite socio-economic development? How can we use big data, big data technologies including big data analytics to enhance digital services? This book addresses the above-mentioned issues and challenges by exploring the cutting-edge theories, technologies, and methodologies of big data-driven socioeconomic development with applications, and highlights the integration of artificial intelligence, business intelligence, intelligent business, big data technologies, big data analytics, and analytics intelligence from a perspective of computing, business, service, and management. This book also provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of e-SMACS (electronic, service, mobile, analytics, cloud, and social) business and services, healthcare, IoE (the Internet of Everything), sharing economy, blockchain, 5G/6G technology, cybersecurity, robotic automation, and Industry 4.0 in the real world. The proposed approaches will facilitate research and development of big data, big data technologies, intelligent analytics, big data analytics, data science, digital transformation, e-business, digital service, service computing, cloud computing, social computing, and more. Objective of the book This book titled “Driving Socioeconomic Development with Big Data: Theories, Technologies, and Applications” aims to explore novel big data theories, algorithms, technologies, methodologies, and applications for driving socioeconomic development and sustainable development. The book highlights at least two perspectives in terms of theories, technologies, and applications. The first is from a perspective of big data and its technologies to explore socio-economic development. The second is from a perspective of socio-economic development to look at big data and its technologies. This is the first book titled “Driving Socioeconomic Development with Big Data” to reveal the cutting-edge theories, technologies, methodologies, and applications of big data, big data technologies including big data analytics for promoting socioeconomic development and sustainable development. This is also the first book demonstrating that big data and big data technologies including big data analytics are at the center of intelligent business, intelligent decision making, intelligent management, digital transformation, governance, and services in the digital age. Target audience This book’s primary aim is to convey the theories, technologies, tools, apps, thoughts, methods, and applications of driving socioeconomic development with big data to scientists, engineers, educators and university students, business, service, and management professionals, policymakers, decision-makers, and others who have an interest in big data, big data technologies, intelligent business analytics, AI, digital transformation, e-SMACS business and intelligence, commerce, digital service, data science, and socioeconomic development. Primary audiences for this book are undergraduate, postgraduate students, and a variety of professionals in the fields of big data, intelligent business analytics, intelligent business and management, data science, information science and technology, knowledge technology and engineering, intelligence science, analytics, AI, ICT, 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 theories, technologies, methodologies, tools, apps, and applications of driving socioeconomic development with big data in the digital age. Topics of Interest We seek book chapters with original research that promotes the cutting-edge theories, technologies, methodologies, tools, apps, and applications of driving socioeconomic development with big data. Submissions that cross multiple disciplines such as management, service, business, AI, intelligent systems, computer science, data science, optimization, statistics, information systems, knowledge systems, decision sciences, and industries to develop theory and provide technologies and applications that could drive socioeconomic development with big data, are especially encouraged. *Part I. Theories of driving socioeconomic development with big data* Topics: fundamental concepts, theories, principles, models/architectures, frameworks, mechanisms, and foundations for driving socioeconomic development with big data. The following topics might include, but are not limited to. 1. Big data driven socioeconomic development 2. Big data technologies driven socioeconomic development 3. Big data driven digital society development 4. Big data driven smart city development 5. Big data driven digital services 6. Driving digital society development with big data analytics 7. Driving socioeconomic development with AI/Ethic AI/Explainable AI/ responsible AI 8. Driving Socioeconomic Development with e-SMACS (electronic, social, mobile, analytics, cloud, service as a web service) technologies 9. Metaanalytics, metaintelligence, metaplatform, and metaverse for driving socioeconomic development 10. Self-service analytics and socioeconomic development 11. Convergence of IoT, cloud, and big data and socioeconomic development 12. Theoretical foundations of driving socioeconomic development with big data 13. Frameworks and mechanisms for driving socioeconomic development with big data 14. Relativity principles of big data and small data 15. Mathematical theory of big data 16. Big data intelligence 17. Analytics intelligence and thinking 18. Business analytics intelligence 19. Intelligent analytics ecosystems 20. Big data analytics for automated decision making 21. Computational foundations of intelligent analytics 22. Mathematical fundamentals of intelligent analytics 23. Fuzzy logic approach to intelligent business analytics 24. ICT fundamentals for analytics 25. Real-time algorithms for intelligent business analytics 26. Machine learning and deep learning for intelligent business analytics 27. Data and text mining for intelligent business analytics 28. Intelligent warehouses, intelligent mining, intelligent statistical modelling 29. Intelligent visualization of data, models, and insights. *Part II. Technologies for driving socioeconomic development with big data* Technologies of big data-driven socioeconomic development in this book include big data management, big data technology, intelligent technology, computational technology, web technology, Internet technology, social networking technology, cloud technology, intelligent business technology, management technology, 5G/6G technology, and IoE (the Internet of Everything) technology, to name a few. Besides, technologies for driving socioeconomic development with big data might include the following topics of interest but are not limited to. 1. Intelligent technologies for big data, information, knowledge, intelligence, and wisdom processing 2. Demand for socio-economic development and sustainable development for big data and big data technologies 3. Digital transformation, innovation and revolution 4. Platform economy and sharing economy 5. Intelligent analytics technology 6. Intelligent analytics systems and services 7. Intelligent data visualization techniques for business analytics 8. Intelligent techniques for enterprise analytics and services analytics 9. Business processes flow-oriented intelligent analytics 10. Rule-based systems and expert systems 11. Neural networks 12. Fuzzy logic 13. Intelligent agents and multi-agent systems 14. Cased-based reasoning 15. Genetic algorithms 16. Data mining 17. Intelligent user interfaces 18. Intelligent big data/information/knowledge technologies 19. Digital service technologies 20. Social networking technologies 21. Intelligent decision technologies 22. Cloud computing, IoT, and IoE 23. Big data technologies for micro, small & medium enterprises (MSMEs) 24. Optimization techniques for intelligent business analytics 25. Self-service analytics and self-service tools 26. DIKIW (data, information, knowledge, intelligence, and wisdom) as a digital service 27. Optimization for big data, information, knowledge, intelligence, and wisdom 28. Machine-to-machine communication 29. Big data-driven small data technology and methodology. *Part III. Applications of driving socioeconomic development with big data* Applications of big data-driven socioeconomic development in this book cover all the applications and case studies of big data, big data technologies including intelligent analytics in business and management, e-commerce, social networking, big data, digital transformation, eSMACS business and services, IoT, 5G/6G systems, intelligent drones, healthcare, smart cities, and other real-world problem-solving. Besides, real world applications and case studies for driving socioeconomic development with big data might include the following topics, but are not limited to. 1. Big data driven digital innovation and entrepreneurship 2. Intelligent analytics in business ecosystems 3. IoT and IoE 4. blockchain 5. Big data driven business decision making 6. Intelligent healthcare analytics 7. Analytic flow-oriented business solutions 8. Smart airport management 9. Big data analytics for business innovation 10. Big data analytics economy and platform economy 11. Intelligent analytics for location intelligence 12. Big data management and intelligent analytics 13. Marketing analytics, healthcare analytics, management analytics and HR analytics 14. Big data analytics in the banking industry 15. Intelligent analytics in social networking services 16. Intelligent analytics for big data, information, knowledge, and wisdom 17. Cybersecurity and privacy in the big data age. 18. Intelligent analytics for management 19. Organization analytics 20. Driving decision making with big data 21. Analytics centric business and enterprise innovations 22. SME oriented analytics intelligence 23. Academic analytics, teaching analytics, and learning analytics 24. Smart AI, intelligent business analytics adoption studies 25. Ethical issues related to big data technologies 26. Risks in adoption and deployment of business analytics and enterprise analytics. 27. Automated analytics process integration. *Part IV. Emerging technologies and applications for driving socioeconomic development with big data* Topics: Emerging cutting-edge theories, technologies, methodologies, and applications for driving socioeconomic development with big data. The following topics of interest might also include, but are not limited to. 1. Big data analytics 2.0, 3.0, and 4.0 2. Next generation of intelligent business analytics 3. Intelligent business analytics for enhancing organization intelligence and market intelligence. 4. Challenges and opportunities for big data driven socioeconomic development 5. Ethic AI and responsible AI for driving socioeconomic development with big data 6. Challenges, opportunities, and implications for sustainable development with big data 7. Emergent big data technologies and tools 8. Emergent small data technologies and tools 9. Emergent technologies for analytics intelligence 10. Challenges and opportunities for data mining, machine learning, IoT, cloud computing, and data science 11. Challenges and opportunities for intelligent analytics tools, platforms, and systems 12. Challenges, and trends of intelligent analytics and business analytics. Submission Procedure For detail, also see http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=156300 or https://www.igi-global.com/publish/call-for-papers/call-details/5830 All interested authors must submit a chapter proposal (abstract) consisting of title, authors and affiliation information and about 150 words for the proposed chapter identifying the main objectives of your contribution online at https://www.igi-global.com/publish/call-for-papers/submit/5830, by June 30, 2022. Authors of the accepted proposals will be notified by July 10, 2022, and provided with detailed guidelines for developing the chapter manuscript. Full chapters are to be submitted online by July 30, 2022. Submission Format and Evaluation All interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. Every book chapter submission consisting of 8,000-12,000 words is original. Only ORIGINAL manuscripts will be accepted for publication by IGI-Global. Upon acceptance of your book chapter, you will be required to sign a warranty that your book chapter is original and has NOT been submitted for publication or published elsewhere. There are no submission or acceptance fees for manuscripts submitted to this book publication, Driving Socioeconomic Development with Big Data: Theories, Technologies, and Applications. All manuscripts are accepted based on a double-blind peer review editorial process using the eEditorial Discovery™ online submission manager. Conditioned accepted 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. Contributors may also be requested to serve as reviewers for this project. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines, which will be accessible for the contributor of book proposals. Important Dates · June 30, 2022, chapter proposal submission deadline to the editor. · July 10, 2022, the authors of the accepted proposals will be notified. · July 30, 2022, Submission deadline of the full chapters. · September 30, 2022: Review results due to authors. · October 20, 2022: Revisions are due from authors. · November 20, 2022: Final acceptance/rejection notification due to authors. · Dec 20, 2022: All final accepted materials due from authors to the publisher. Editors’ Information Prof. Dr. Zhaohao Sun, Ph.D. Editor of the Book titled “Driving Socioeconomic Development with Big Data: Theories, Technologies, and Applications”, to be released by IGI-Global Department of Business Studies PNG University of Technology Lae 411, Morobe, Papua New Guinea zhaohao.sun(a)gmail.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 8th IEEE International Smart Cities Conference (ISC2 2022): Last Call for Papers
by Gustaf Neumann 01 Jun '22

01 Jun '22

-------- Forwarded Message -------- Subject: [AISWorld] 8th IEEE International Smart Cities Conference (ISC2 2022): Last Call for Papers Date: Wed, 1 Jun 2022 10:57:31 +0300 From: George A. Papadopoulos <george(a)cs.ucy.ac.cy> To: aisworld(a)lists.aisnet.org *** Last Call for Papers *** 8th IEEE International Smart Cities Conference (ISC2 2022) "Community Smartification and towards ZERO emission Smart Cities for a Green New Era" September 26-29, 2022, Aliathon Resort, Paphos, Cyprus https://attend.ieee.org/isc2-2022 (*** Submission Deadline Extension: June 14, 2022 AoE (firm!)) The IEEE ISC2 2022 Organizing Committee is glad to announce that it is currently accepting papers for the 8th edition of the IEEE International Smart Cities Conference. This year, the IEEE ISC2 will be held in-person on September 26-29, 2022, in Paphos, Cyprus and the theme of the conference is “Community Smartification and towards ZERO emission Smart Cities for a Green New Era.” The IEEE ISC2 is the flagship conference sponsored by the IEEE Smart Cities Technical Community, a coalition of eight IEEE technical societies and organizations. Besides contributions addressing the conference theme, authors are welcome to submit their original research results in traditional topics across broad application and functional domains, within the context of smart urban infrastructure systems. The technical areas include, but are not limited to: • Smart city theory, modelling and simulation  • Intelligent infrastructure • Sensors and actuators • Open data and big data analytics • AI powered smart cities services • Safety and security systems • Smart healthcare • Smart emergency management • IoT and Smart X services • Data security and privacy • Connected Vehicle (CV) technologies • Unmanned Aerial Vehicles (UAVs) • Smart mobility and transportation • Smart energy systems • Smart buildings and Smart grid • Digital city and smart growth • Smart traffic system operations • Environmental monitoring technologies The complete list of technical areas can be found here: https://attend.ieee.org/isc2-2022/call-for-papers/ . Should you need further clarifications or have any inquiries, please do not hesitate to contact us at: isc22022(a)easychair.org . Paper Submission Guidelines Prospective authors are invited to submit high quality original (Full or Short) papers via the EasyChair submission site at https://easychair.org/conferences/?conf=isc22022 . Full papers should describe novel research contributions with evaluation results and are limited to seven (7) pages. Short papers, limited in length to four (4) pages, should be more visionary in nature and are meant to discuss new challenges and visions, highlight early research results, and explore novel research directions. All submitted papers must be unpublished and not considered elsewhere for publication, should be written in English and formatted according to the IEEE Template ( https://www.ieee.org/conferences/publishing/templates.html ). Each submitted paper will pass through the standard IEEE peer-review process. If accepted and presented at the conference, it will appear in the conference proceedings and be submitted for inclusion in the IEEE Xplore Digital Library. The conference organisers are currently negotiating a number of special issues with high quality journals. More information is available on the conference web site (https://attend.ieee.org/isc2-2022/journal-special-issues/ ). The best papers will be awarded in the conference Best Paper Award and a Best Student Paper Award contests. For more information, please visit the conference website: https://attend.ieee.org/isc2-2022 . Sponsorship Opportunities Please refer to the web site for further details: https://attend.ieee.org/isc2-2022/sponsorships/ . Important Dates • Conference Paper Submission Deadline: June 14, 2022 AoE (firm!) • Conference Acceptance Notification: July 15, 2022 • Conference Camera-ready Deadline: July 31, 2022 • Author Registration Deadline: July 31, 2022 • Conference Dates: September 26-29, 2022 Organizing Committee https://attend.ieee.org/isc2-2022/chairs/ Special Track Chairs Committee https://attend.ieee.org/isc2-2022/special-tracks-committee2/ IEEE Smart Cities https://smartcities.ieee.org _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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