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Fwd: [AISWorld] CfP - EDOC 2020 Doctoral Consortium (deadline Aug. 7th, 2020)
by Gustaf Neumann 25 Jul '20

25 Jul '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP - EDOC 2020 Doctoral Consortium (deadline Aug. 7th, 2020) Date: Fri, 24 Jul 2020 17:08:28 +0200 From: Saïd Assar <said.assar(a)imt-bs.eu> To: aisworld(a)lists.aisnet.org 24th IEEE EDOC 2020 – The Enterprise Computing Conference http://www.edoc2020.org/ DOCTORAL CONSORTIUM The IEEE EDOC 2020 The Doctoral Consortium (DC) is a forum of exchange organized to encourage PhD students to present their early work and to exchange with other researchers in their fields. Senior researchers will provide feedback and advice on the work and advice on managing research projects. The Doctoral Consortium is also a place to establish a social network with peers in the field of the conference. The technical scope of the Doctoral Consortium is that of EDOC 2020, as described by the list of the topics in the EDOC 2020 call for papers. We encourage submissions from PhD students at an early stage of their research project, i.e., typically in their first or second year. A submission to the DC should clearly describe motivation, goal, expected results, and the research approach taken. Participants will be expected to actively discuss and argue about their work by reading each other’s work prior to the DC, giving a presentation at the Doctoral Consortium, debating together, and listening to senior researchers’ feedback. DC SUBMISSIONS To participate at the Doctoral Consortium, students should prepare a submission package consisting of two parts, (i) a paper and (ii) a letter of recommendation: (i) The paper (typically 3 to 6 pages) should cover the following aspects: - The context and goal of the research; - The scientific problem addressed in the PhD project and its relevance to the conference field. Any observation or case study that justifies or substantiates the problem should be given. The problem can be further specified with research questions and hypotheses; - Earlier works that have addressed a similar problem. Explanations why the problem is not solved (i.e. open issues and controversies) should be underlined; - The scientific method proposed to address the problem at hand ; - The expected results, and any result that has already been obtained so far; - A plan for the evaluation of results. All submissions must be made in PDF format and comply with the IEEE Computer Society Conference Proceedings Format Guidelines. Doctoral Papers should be submitted electronically in PDF format via the EDOC Conference Management system hosted on EasyChair to track EDOC 2020 Doctoral Consortium. (ii) The recommendation letter should: - be submitted directly to the DC chairs - include the title of the paper, the name of the candidate, the status of the dissertation research, and an expected date for the PhD defense. SELECTION PROCESS Desk rejects of papers that: - do not comply with the formatting guidelines, - are out of scope of the conference themes, - have been (or are) submitted or published elsewhere, - include plagiarism. The Doctoral Consortium Committee will review submissions using the following criteria: - Technical quality, clarity, soundness, precision, and adequacy of the problem statement, related work, self-contained and feasible method description, realistic expected results, and sensible evaluation plan. - Overall quality. PROCEEDINGS Accepted doctoral papers will be published in the workshop proceedings of the IEEE EDOC conference (EDOCW), which will be submitted to the IEEE Xplore® digital library. The PhD student, author of the accepted DC paper, must register for the conference and be in attendance to present the paper during the Doctoral Consortium. IMPORTANT DATES - Doctoral papers submissions: 26 July 2020 7 August 2020 - Doctoral papers acceptance notification: 30 August 2020 7 September 2020 - Doctoral papers camera-ready papers due: 13 September 2020 - Author registration: 13 September 2020 - Doctoral Consortium sessions: 5 October 2020 DC ADVISORY COMMITTEE - Colin Atkinson, University of Mannheim, Germany - Georg Grossmann, University of South Australia, Australia - Marten van Sinderen, University of Twente, The Netherlands DC CHAIRS - Said Assar, Institut Mines Telecom Business School, France - Bernd Neumayr, Johannes Kepler University Linz, Austria DC PROGRAM COMMITTEE [confirmed members] - Colin Atkinson, University of Mannheim, Germany - Lamiae Benhayoun, IMT-BS, France - Markus Borg, RISE, Sweden - Dominik Bork, TU Wien, Austria - Georg Grossmann, University of South Australia, Australia - Manuele Kirsch-Pinheiro, Université Paris 1 Panthéon Sorbonne, France - Manfred Jeusfeld, University of Skövde, Sweden - Andreas L. Opdahl, University of Bergen, Norway - Camille Salinesi, Université Paris 1 Panthéon Sorbonne, France - Dalila Tamzalit, University of Nantes, France - Thierno Tounkara, IMT-BS, France ----------------------------------------------------------------------------------- Saïd Assar*, *Professor Institut Mines-Telecom Business School -- Homepage : http://www-public.imtbs-tsp.eu/~assar/ <http://www-public.imtbs-tsp.eu/%7Eassar/> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP: 18th International Conference on Advances in Mobile Computing and Multimedia (MoMM2020) - Chiang Mai, Thailand
by Gustaf Neumann 25 Jul '20

25 Jul '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: 18th International Conference on Advances in Mobile Computing and Multimedia (MoMM2020) - Chiang Mai, Thailand Date: Sat, 25 Jul 2020 08:59:42 +0200 From: Ismail Khalil <ismail.khalil(a)jku.at> To: ISWorld <aisworld(a)lists.aisnet.org> *************************************************************************** We apologize if you receive multiple copies of this CFP *************************************************************************** C A L L F O R P A P E R S The 18th International Conference on Advances in Mobile Computing and Multimedia (MoMM2020) 30 November - 2 December 2020 Chiang Mai, Thailand http://www.iiwas.org/conferences/momm2020/ email: momm2020(a)iiwas.org Paper submission: https://easychair.org/conferences/?conf=momm2020. ***** Designing and Developing Innovative Mobile and Ubiquitous Solutions for Social Good ***** **** IMPORTANT DATES ***** 1 August 2020 : Full Papers (10 pages), Short papers, demos and work in progress (5 pages) 25 September 2020: Acceptance Notification 20 October 2020: Camera-Ready Papers and Authors Registration 30 Nov - 2 Dec 2020: Conference Dates ***** Publication ***** ALL accepted MoMM2020 papers will be published by ACM International Conference Proceedings Series (ISBN: pending) and the supplemental proceedings which will be archived in the ACM Digital Library, and indexed by DBLP, Ei Compendex, Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science). Selected high-quality papers will be invited to be published, after revision and extension, in special issues of international journals. **** Scope ***** During the last decade, mobile computing and multimedia have gone through massive advancements in terms of both hardware innovations and software solutions. The emerging and exponential technologies have accelerated research across a wide array of topics such as smart cities, digital twins, nanotechnology, augmented and virtual reality, artificial intelligence, chatbots and conversational interfaces, edge computing and server-less cloud computing. While the new technologies and developments have the potential to affect our lives and create positive social impact, they introduce huge challenges in terms of the design, underlying algorithms, implementation and technology adoption. MoMM provides an opportunity for researchers to present, share and discuss their research results and experiences with other researchers and experts in the same or similar fields. Recently, MoMM has been held in Munich (2019), Yogyakarta (2018), Salzburg (2017), Singapore (2016), Brussels (2015), Kaohsiung (2014), Vienna (2013), Bali (2012), Ho Chi Minh City (2011), Paris (2010), Kuala Lumpur (2009), and Linz (2008). This year, Chiang Mai, Thailand, the city centre for northern Thailand arts and cultures will host MoMM2020. **** Submissions ***** MoMM accepted four different types of contributions: - Original theoretical work: The contributions are expected to show original work that provide foundations to further progress research in the area. Rigorous proofs and/or performance measurements are expected for this type of contribution. - Real world case study: The contributions are expected to show a real world case study of an adopted concept and technology. The analysis of the case study should provide an original insight and findings, backing up by data collected from experiments and/or observation. - Experimental work: The contributions are expected to show reporting of rigorous comparative experiments of existing algorithms/systems to provide insight to the current state of the art in a research domain. - Lessons learnt reports: The contributions are expected to show lessons learnt from adoption of complex technology integration or implementation. Accepted papers and demonstrations from all three categories will be published in the ACM International Conference Proceedings Series. ***** Topics ***** Specific topics of interest include, but are not limited to: - Mobile and ubiquitous multimedia - Internet of Things solutions and applications - Smart cities - Mobile sensing technologies and applications - Mobile healthcare applications - Wearable computing - Mobile crowd sensing - Mobile multimodal interfaces - Chatbots and conversational interfaces - Cloud and edge computing - Immersive computing - Context-aware applications and recommender systems - Data Visualisation on mobile devices - Localisation, positioning and tracking systems - Mobile distributed reasoning and processing - Spatial searching and routing - Multi-agent systems **** Submission Guidelines **** Papers and demonstration descriptions must be submitted electronically in PDF through the conference website. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal, conference, or workshop with proceedings. Submitted demonstrations should convey a scientific result and should not be advertisements for commercial software packages. Submitted papers and demonstrations will be subject to stringent peer review by at least three members of the international program committee and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Accepted papers and demonstration descriptions will appear in the conference proceedings to be published by ACM. Format requirements for submissions of papers and demonstrations are: - Maximum 10 pages, including the abstract (no more than 150 words), all figures and references for Full Technical papers. - Maximum 5 pages, including the abstract (no more than 150 words), all figures and references for Short Position Papers. - A video clip (for review purpose only) and a description of maximum 4 pages for the demonstration. The description should outline the underlying novel concepts, methods and/or approaches, and details about implementation, deployment, testing, and evaluation and user uptake. - All submissions should be formatted according to ACM guidelines (https://www.acm.org/publications/proceedings-template) - Submissions must be entered into the Submission System (https://www.easychair.org/conferences/?conf=momm2020) **** Awards **** MoMM2020 best paper awards, best student paper awards, and best demonstrations will be selected based on novelty, significance, and the presentation at the conference. Best student paper awards can only be awarded to papers on which students are first authors. **** Past Conferences **** http://www.iiwas.org/conferences.htm ACM Digital library: https://dl.acm.org/conference/momm DBLP: http://www.informatik.uni-trier.de/~ley/db/conf/momm/ *** Contact ***** Pari Delir Haghighi, Program Committee Chair, Monash University, Australia ****************************************************************************** _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] [journals] CFP: Frontiers Research Topic on “Creativity and Robotics”
by Gustaf Neumann 24 Jul '20

24 Jul '20

-------- Forwarded Message -------- Subject: [AISWorld] [journals] CFP: Frontiers Research Topic on “Creativity and Robotics” Date: Thu, 23 Jul 2020 15:24:38 +0100 From: patrícia alves-oliveira <patricialvesoliveira(a)gmail.com> To: iva-list(a)lists.uni-bielefeld.de, chi-announcements(a)listserv.acm.org, BCS-HCI(a)jiscmail.ac.uk, um(a)di.unito.it, CSCW-ALL(a)jiscmail.ac.uk, euron-dist(a)iais.fraunhofer.de, aisworld(a)lists.aisnet.org, COGSCI-HUM(a)listserv.uh.edu, HRI-ANNOUNCEMENT(a)listserv.acm.org, ml-news(a)googlegroups.com, robotics-worldwide(a)usc.edu \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ Call for Papers for Frontiers Research Topic on “Creativity and Robotics” URL: https://www.frontiersin.org/research-topics/14181/creativity-and-robotics DEADLINES Abstract: 30 November 2020 (optional) Manuscript: 31 January 2021 KEYWORDS Human-Robot Interaction, Social Robotics, Creativity, Creative Robotics \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ABOUT THIS RESEARCH TOPIC Creativity has now emerged at the front line of research in the interdisciplinary field of Human-Robot Interaction (HRI). The goal of this Research Topic is to present this research in a single collection. There are many important lines of investigation within creativity and robotics. Some include designing and developing robots that can integrate and facilitate creativity in humans, solve problems creatively, provide “out of the box” ideas, act curiously, be intrinsically motivated, make sense of and integrate different stimuli, and extend the human potential by achieving tasks that neither the robot nor the human could do alone. We welcome researchers from diverse backgrounds, including those that are technical/computational, social scientific, and design-oriented. Interdisciplinarity will be a focus of this Research Topic, as we bring together research on algorithms and simulations, theoretical systematic literature reviews and meta-analyses, experimental studies, field studies, designs, art, and more. Investigations on creativity and robotics come from different standpoints, from the development of robots that incorporate creative abilities, to robots that have been developed as tools to potentiate creativity in humans but are not necessarily creative themselves. Thus, this is a timely moment for a dedicated venue that integrates current research efforts in creativity and robotics. By exploring novel ways to emulate creativity in robots, we aim to create new tools, as well as to advance the understanding of what creativity is in humans. Understanding human creativity is an ongoing, active research area where multiple definitions for the term “creativity” exist. Lacking a theoretical and algorithmic definition of creativity prevents us from recreating it in machines. Thus, we intend to present rigorous scientific advancements in methods, measures, models, algorithms, and theories, that contribute to the understanding of the interplay between social robots and creativity research. \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ CONTRIBUTIONS Contributions to this Research Topic are required to provide a clear definition for the concept of creativity. Additionally, contributions are expected to discuss how their research contributes to a “common language” that advances the holistic notion of the concept of creativity across fields. \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ TOPICS OF INTEREST Include, but are not limited to: • Algorithms to simulate creativity in social robots • Curiosity in social robots • Creativity applications of social robots, including educational, healthcare, in-home, entertainment, among others • Humor and jokes in social robots • Long-term creativity between humans and robots • Creative content generation in robots • Outcomes of interaction with a creative robot • Human perception of creative robots • Artistic applications of robots reporting creativity outcomes, including poetry, music, design, visual arts, performances • Creativity as domain-specific or a domain-general in social robots • Computational creativity for social robots • Group versus individual creativity in human-robot interaction • Creativity measurement in human-robot interaction • Co-creation with social robots • Robot embodiments and aesthetics for creativity fostering • Creative process versus creative outcome • Measuring human experiences in creating with robots • Identifying key aspects of human creativity for machine design \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ SUBMISSION DEADLINES* Abstract: 30 November 2020 Manuscript: 31 January 2021 *Submissions will be reviewed and processed as soon as they are submitted \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ TOPIC EDITORS - Patrícia Alves-Oliveira, University of Washington, USA - Amy LaViers, University of Illinois at Urbana-Champaign, USA - Peter Kahn, University of Washington, USA - Goren Gordon, Tel Aviv University - Maya Cakmak, University of Washington, USA \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ SUBMISSION SYSTEM URL: https://www.frontiersin.org/research-topics/14181/creativity-and-robotics ________________________________________________ Patrícia Alves-Oliveira The Robot-Creativity Project patricialvesoliveira.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Last Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications
by Gustaf Neumann 24 Jul '20

24 Jul '20

-------- Forwarded Message -------- Subject: [AISWorld] Last Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications Date: Fri, 24 Jul 2020 13:40:32 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org CC: cmoyer(a)igi-global.com 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 July 30, 2020. Authors of the accepted proposals will be notified and provided with detailed guidelines. Full chapters are to be submitted by 15 August, 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 * July 30, 2020: Proposal Submission Deadline * August 02, 2020: Notification of Acceptance * August 15, 2020: Full Chapter Submission * August 30, 2020: Review Results Returned * September 2, 2020: Final Acceptance Notification * September 10, 2020: Final Chapter Submission. * September – November 2020: estimated publishing period. Editor Information Prof. Dr. Zhaohao Sun, Ph.D. Editor of Handbook of Research on Intelligent Analytics with Multi-Industry Applications Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Morobe, PNG & Federation University Australia zhaohao.sun(a)gmail.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: Virtual 14th European Conference on Games Based Learning - (ECGBL 2020) - Preliminary Programme
by Gustaf Neumann 24 Jul '20

24 Jul '20

-------- Forwarded Message -------- Subject: Virtual 14th European Conference on Games Based Learning - (ECGBL 2020) - Preliminary Programme Date: Thu, 23 Jul 2020 15:31:02 +0000 From: ACPIL Updates <ACPIL.Updates(a)academic-conferences.org> To: Gustaf.Neumann(a)wu-wien.ac.at <Gustaf.Neumann(a)wu-wien.ac.at> Hello Gustaf Preparations for the virtual *14th European Conference on Games Based Learning - (ECGBL 2020)***supported by *University of Brighton, UK *on th*e 24 - 25 September 2020 *are well underway. ** You can see the preliminary programme at: https://www.academic-conferences.org/conferences/ecgbl/ecgbl-programme/ Please note that this timetable is *subject to change *and will be updated as necessary to mid-September 2020. The *virtual conference* will use Zoom for presentations and there will be a number of interactive sessions during the event. There are a number of registration options available, details of which can be found at: https://www.academic-conferences.org/conferences/ecgbl/ecgbl-registration/ Papers accepted for the conference will be published in the conference proceedings, subject toauthor registration and payment. <https://www.academic-conferences.org/conferences/ecgbl/ecgbl-registration/>The Proceedings have an ISSN, ISBN and will be submitted for indexing in the Thompson Web of Science and Scopus and listing in the EBSCO database. ** *Please feel free to circulate this message to any colleagues or contacts you think may be interested.* Follow the conference on LinkedIn <https://www.linkedin.com/company/academic-conferences>, Facebook <https://www.facebook.com/academic.conferences.publishing.international/>and Twitter <https://twitter.com/acpi_tweets>. Kind regards, *Elaine* Elaine Hayne Conferences Manager Academic Conferences & Publishing International 33 Wood Lane, Sonning Common, Reading, RG4 9SJ, UK Tel: +44 (0)118-972 4148 elaine(a)academic-conferences.org <mailto:elaine@academic-conferences.org%20> http://www.academic-conferences.org <http://www.academic-conferences.org/>__ <http://www.academic-conferences.org/><https://www.facebook.com/academic.conferences.publishing.international/><https://twitter.com/@acpi_tweets><https://www.linkedin.com/company/academic-conferences><https://plus.google.com/105515519810691027089/posts> IMPORTANT NOTICE **************** You are receiving this email because you are on the *ACPI Conferences*mailing list. If you no longer wish to receive notifications about any conferences, please reply to this email with *REMOVE* in the subject line.

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Fwd: [AISWorld] HCOMP 2020: Second round of applications for Doctoral Consortium
by Gustaf Neumann 23 Jul '20

23 Jul '20

-------- Forwarded Message -------- Subject: [AISWorld] HCOMP 2020: Second round of applications for Doctoral Consortium Date: Wed, 22 Jul 2020 12:52:23 +0300 From: HCOMP Publicity <hcomp.publicity(a)gmail.com> To: AISWorld(a)lists.aisnet.org * We apologize for cross-posting * *** Covid-19 announcement *** The HCOMP organisers are monitoring the ongoing situation around Covid-19 closely. We plan to hold the conference at the same dates, either online, or, if it‘s safe and the restrictions allow it, at the planned venue in the Netherlands. We aim to disclose further details in a few months. In the meantime, we’re looking forward to your submissions! *** HCOMP 2020: Second round of applications for Doctoral Consortium *** • Hilversum, the Netherlands • October 26-28 2020 • Website: https://www.humancomputation.com <https://www.humancomputation.com/> • Twitter: @hcomp_conf IMPORTANT DATES (Deadline extension) - ALL TIMES ARE MIDNIGHT CEST (AMSTERDAM TIME) • August 11: Second round of Doctoral Consortium applications due • September 8: Second round of Doctoral Consortium notifications sent HCOMP’s annual Doctoral Consortium provides doctoral students with a unique opportunity to meet each other and experienced researchers in the field. Students will be mentored by a group of faculty who are leaders in the diverse specialties that make up the HCOMP field. The objectives of the Doctoral Consortium are to provide students with an opportunity: • To present and discuss their research with experienced researchers: the Doctoral Consortium Mentors; • To establish a supportive community, including other doctoral students at a similar stage of their dissertation research; • To provide a platform for broader exposure for their research, both in general and in support of future a job search. AREAS OF INTEREST HCOMP is unique in the diversity of disciplines it draws upon, and contributes to, ranging from computer science, artificial intelligence, and human-computer interaction, to economics and the social sciences, all the way to digital humanities, policy, and ethics. This year, we especially encourage works that generate new insights into the quality (or qualities) of human-annotated datasets, including elements such as reliability and replicability of human computation and crowdsourcing experiments, novel metrics for aggregation of results, and holistic approaches to deal with bias, fairness, and interpretability. ELIGIBILITY Applicants must be currently enrolled in a full-time PhD program and have written, or be close to completing, a thesis proposal (or equivalent). We will give preference to students who have proposed or are about to propose but are far enough from completing their thesis that the feedback they receive at the event can impact their work. Before submitting, students should discuss this criterion with their advisor or supervisor. ATTENDANCE Those accepted are required to present their work at the Doctoral Consortium. Participants will also likely be required to present a poster on their work during the poster session at the main conference. SELECTION Submissions will be reviewed by a Program Committee of Doctoral Committee Mentors, with selection based upon the expected potential of both the student and their proposed work, as well as the expected benefit to the student from participation. Priority will be given to students whose research goes beyond locally available expertise at their home institutions. FINANCIAL SUPPORT More information about financial support coming soon. APPLICATION Applicants must submit a solely-authored paper in English containing: 1) a Doctoral Research Overview; and 2) a Supplemental Paragraph. DOCTORAL RESEARCH OVERVIEW. Please summarize your doctoral research, including the following sections: • Motivation for the proposed research; • Background and related work (including key references); • Description of the proposed research, including key research questions and planned methodology to be used for investigating these research questions; • Proposed experiments if appropriate; Any preliminary evaluation and findings are welcomed, but this is not required.; • Specific research issues and/or challenges (do not skip these; the consortium is about helping you solve issues, not boasting about the issues you already solved!). SUPPLEMENTAL PARAGRAPH. Please write a paragraph explaining: • Why you want to participate in the consortium at this point in your doctoral studies and how you expect to benefit from the consortium; • The status of your dissertation proposal (writing, submitted, presented, or approved); • Your expected (approximate) defense date. LENGTH AND ORGANIZATION. Your paper should be no more than 4 pages in total: 3 pages for the Doctoral Research Overview (including all figures and references), and the 4th page being the Supplemental Paragraph. The first page must contain the title of the paper, full author name, affiliation and contact details, an abstract of up to 250 words, and up to 3 keywords describing the research topic areas. FORMATTING. Papers must be formatted in AAAI two-column, camera-ready style; please refer to the AAAI 2019 Author Kit for details. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5” x 11”) paper, using Type 1 or TrueType fonts. It is the responsibility of the student to ensure that their submission uses no unusual formatting and is printable on a standard printer. The AAAI copyright block is not required for works-in-progress or demo submissions, as they are not included in the formal proceedings. Please see below for information regarding dissemination. SUBMISSION. Electronic submission through the HCOMP-20 EasyChair (https://easychair.org/conferences/?conf=hcomp2020 <https://easychair.org/conferences/?conf=hcomp2020>) paper submission site is required on or before the deadline listed above. We cannot accept submissions by e-mail or fax. Authors will receive confirmation of receipt of their submissions, including an ID number, shortly after submission. HCOMP will contact authors again only if problems are encountered with papers. DISSEMINATION. Submissions will be distributed only to mentors and other attendees of the doctoral consortium. Proceedings of the Doctoral Consortium will NOT be archived. As such, students may freely submit their research contributions for official publication in other venues. Participant names and university affiliations, as well as paper titles and abstracts, will be publicized on the conference website and in the conference program for the poster session. QUESTIONS? Please contact the Doctoral Consortium Chairs. Maribel Acosta, at maribel.acosta(a)kit.edu <mailto:maribel.acosta@kit.edu> Markus Krause, at public.markus.krause(a)gmail.com <mailto:public.markus.krause@gmail.com> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP SI: Business Analytics for the Management of Information Systems Development
by Gustaf Neumann 23 Jul '20

23 Jul '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP SI: Business Analytics for the Management of Information Systems Development Date: Wed, 22 Jul 2020 11:33:22 +0000 From: Dennehy, Denis <denis.dennehy(a)nuigalway.ie> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Special issue call for papers from Information Technology & People Submission deadline: 30th September 2020 Special issue editors: Denis Dennehy, National University of Ireland Galway, Ireland Email: denis.dennehy(a)nuigalway.ie<mailto:denis.dennehy@nuigalway.ie> Ilias Pappas, University of Agder, Norway Email: ilias.pappas(a)uia.no<mailto:%20ilias.pappas@uia.no> Samuel Fossa Wamba, Toulouse Business School, France Email: s.fosso-wamba(a)tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr> Katina Michael, Arizona State University, USA Email: katina.michael(a)asu.edu <mailto:katina.michael@asu.edu> <mailto:katina.michael@asu.edu>Overview of Special Issue Information Systems Development (ISD) has been part of the intellectual core of information systems for over 40 years (Obrand et al., 2018; Sidorova et al., 2008). Its chequered history of successes and failures has, however, been an ongoing concern of the IS research community (Dwivedi et al., 2015; Hassan & Mathiassen, 2017). Despite efforts to improve the management of ISD projects, these efforts have not had the desired effect (Lim et al., 2011). There is anecdotal evidence that business analytics can help project managers to (i) understand the dynamics and collective state of complex projects, (ii) detect and forecast trends, (iii) improve the effectiveness of risk models, (iv) evaluate the effectiveness of a change to the development process, and (v) distinguish questions of ‘information’ from questions of ‘insight’ (Davenport et al., 2010). Business analytics are frequently referred to as ‘the techniques, technologies, systems, practices, methodologies, and applications that analyse critical business data to help an enterprise better understand its business and market and make timely decisions’ (Chen et al., 2012, p.1166). Yet, much of the research conducted to date has focused on the technologies of business analytics and not enough on the people and their organisational context in which such technologies are intended to be used (Abbasi et al, 2017; Conboy et al., 2018; Mikalef et al., 2019). This is a significant limitation given that the ISD environment is a highly metric oriented, complex, and socially embedded activity that is continuously changing (Conboy, 2009; Kudaravalli et al., 2017; Windeler et al., 2017). This special issue seeks to collect contemporary research on the latest developments and challenges of how organisations exploit business analytics to support project/portfolio managers, project teams, and other project stakeholders. Indicative List of Anticipated Themes This special issue seeks a wide range of articles that draw on diverse project settings, theories, and approaches to understand the different aspects of business analytics as applied to the context of ISD. The following questions are of interest for the special issue: • How can business analytics be used to better understand and manage ISD projects? • What value does business analytics provide to ISD management and development teams? • What tensions arise from the integration of business analytics with traditional and agile methods and practices? • What are the emerging best practices that enable business analytics to be embedded within the ISD process and the wider organisation? • Does the deployment of business analytics make existing agile methods and practices less valuable or even obsolete? • What new metrics and standards can business analytics provide to manage and control ISD projects more effectively? • How can business analytics enable organisational learning and innovation in the context of ISD? • How are business analytics being applied in various types (distributed, large scale) of ISD projects? • How can business analytics support the scaling of ISD projects? • What are the change management and organisational cultural issues that need to be considered when developing analytical capabilities? • How can business analytics provide new ways of working in ISD projects? • What ethical issues stem from the use of business analytics in ISD projects? • How can business analytics be used to support more effective decision making? • What are the new theories and theoretical developments to explain the implementation and use of business analytics in ISD projects? These questions are not intended to be exhaustive. Rather they are intended to stimulate thinking about the role of business analytics in the management of ISD projects across various levels of analysis - from participants in individual projects through projects, programs, portfolios, organisations, and the wider society. We welcome submissions that address questions pertaining to all aspects of the intersection of business analytics and ISD project management. Important Dates: • Initial paper submission deadline: 30th September, 2020 • First round authors notification: 30th November, 2020 • Invited revisions deadline: 31st January, 2021 • Second round authors notification: 31st March, 2021 • Final revision deadline: 31st May, 2021 • Final authors notification: 30th June, 2021 • Projected publication date: Winter 2021 Submission Details To view the author guidelines for this journal, please visit: https://www.emeraldgrouppublishing.com/products/journals/author_guidelines.… Please submit your manuscript via our review website: http://mc.manuscriptcentral.com/itp References Abbasi, A., Sarker, S. and Chiang, R.H., 2016. Big data research in information systems: Toward an inclusive research agenda. Journal of the Association for Information Systems, 17(2), p.I. Conboy, K., Dennehy, D., & O'Connor, M. (2018). ‘Big time’: An examination of temporal complexity and business value in analytics. Information & Management. Conboy, K., 2009. Agility from first principles: Reconstructing the concept of agility in information systems development. Information Systems Research, 20(3), pp.329-354. Chen, H., Chiang, R.H. and Storey, V.C., 2012. Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4). Davenport, T.H., Harris, J. and Shapiro, J., 2010. Competing on talent analytics. Harvard Business Review, 88(10), pp.52-58. Dwivedi, Y.K., Wastell, D., Laumer, S., Henriksen, H.Z., Myers, M.D., Bunker, D., Elbanna, A., Ravishankar, M.N. and Srivastava, S.C., 2015. Research on information systems failures and successes: Status update and future directions. Information Systems Frontiers, 17(1), pp.143-157. Hassan, N.R. and Mathiassen, L., 2018. Distilling a body of knowledge for information systems development. Information Systems Journal, 28(1), pp.175-226. Kudaravalli, S., Faraj, S. and Johnson, S.L., 2017. A Configural Approach to Coordinating Expertise in Software Development Teams. MIS Quarterly, 41(1). Lim, E.P., Chen, H. and Chen, G., 2013. Business intelligence and analytics: Research directions. ACM Transactions on Management Information Systems (TMIS), 3(4), p.17. Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics capabilities and innovation: the mediating role of dynamic capabilities and moderating effect of the environment. British Journal of Management, 30(2), 272-298. Sidorova, A., Evangelopoulos, N., Valacich, J.S. and Ramakrishnan, T., 2008. Uncovering the intellectual core of the information systems discipline. MIS Quarterly, pp.467-482. Öbrand, L., Augustsson, N.P., Mathiassen, L. and Holmström, J., 2019. The interstitiality of IT risk: An inquiry into information systems development practices. Information Systems Journal, 29(1), pp.97-118. Windeler, J.B., Maruping, L. and Venkatesh, V., 2017. Technical systems development risk factors: The role of empowering leadership in lowering developers’ stress. Information Systems Research, 28(4), pp.775-796. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CfP ACIS 2020 (virtual): Information Security Management and Privacy Track
by Gustaf Neumann 23 Jul '20

23 Jul '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP ACIS 2020 (virtual): Information Security Management and Privacy Track Date: Wed, 22 Jul 2020 22:10:08 +0000 From: Sean Maynard <sean.maynard(a)unimelb.edu.au> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Conference Theme: Navigating our Digital Future (He waka eke noa - We are all in this together) https://www.acis2020.org/ Track: Information Security Management and Privacy GENERAL INFORMATION ACIS is the premier conference in Australasia for Information Systems. In 2020, ACIS will be hosted by the School of Information Management, Victoria University of Wellington, New Zealand. ACIS 2020 is going virtual. We are committing ourselves to provide an interactive online experience for our attendees. We cordially invite you to submit a paper. Our Paper submissions close on 10 August 2020. If your paper is accepted, your work will be published in the conference proceedings, and you are welcome to present it virtually. Please see the following link for further details: https://www.acis2020.org/covid19-update TRACK DESCRIPTION Organisations and society in general are faced by challenges around digital technology innovation, and the rapid, large scale change that it brings. Whilst some organisations have achieved unprecedented levels of productivity and profit as a result of embracing digital transformation, many have not. Emerging cyber threats arising from the new competitive environment are the theft of intellectual property and disruption of business continuity. Risks to organisations are exacerbated by the unprecedented scale at which competitive information and knowledge is being collected and analysed by organisations and the increased vulnerabilities from the rapid integration of new and complex technologies into the digital environment such as the internet of things. The Information Security Management and Privacy track focuses on how organisations and society can protect themselves considering the disruption caused by digital technology. This track welcomes empirical and rich theoretical papers that provide interesting insights on these and other issues in the IS sphere from an information security management and privacy perspective. The track welcomes design science, empirical, economic, managerial, behavioural, and theoretical submissions across a diverse range of topics—from technical management aspects to broader social and managerial issues at the individual, organizational, or societal levels. We invite theoretical perspectives from behavioural, organizational, cognitive, cultural, socio-technical, or other lenses for analysis of these issues. TOPICS OF INTEREST INCLUDE BUT ARE NOT LIMITED TO Adoption, use, and continuance of information security technologies and policies Cross-cultural issues in IS security and privacy Cyberwarfare and cybersecurity Design and development of information security and privacy enhancing technologies Incident response and investigations of security violations Information security strategy and governance Knowledge leakage Legal, societal, and ethical issues in IS security and privacy Risk analysis and management, risk and fraud assessment Security and privacy concerning social media, social networking, big data, the IoT or mobile devices Security analytics Security, Education, Training, and Awareness (SETA) programs and campaigns Social engineering and human risks, including the role of employees and customers Theoretical and empirical analyses of information security behaviours and on information, user, and customer privacy IMPORTANT DATES - Paper Submission Deadline: 10 Aug 2020 - Paper Acceptance Decision: 30 Sept 2020 - ACIS2020 Conference: 1-4 Dec 2020 (New Zealand Daylight Time) TRACK CHAIRS Sean MAYNARD, The University of Melbourne, seanbm(a)unimelb.edu.au Nik THOMPSON, Curtin University, nik.thompson(a)curtin.edu.au Atif AHMAD, The University of Melbourne, atif(a)unimelb.edu.au Sean ============= Dr Sean Maynard | Course Director, Master of Information Systems (MIS) : CRICOS: 055847J School of Computing and Information Systems, Melbourne School of Engineering, The University of Melbourne, Victoria, 3010. W: http://people.eng.unimelb.edu.au/seanbm/, LinkedIn: https://www.linkedin.com/in/seanbm69/ unimelb.edu.au | facebook.com/unimelb | twitter.com/unimelb (With apologies for cross-posting.) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP: Special Issue of Journal of Information Systems Education (JISE) on Equality, Diversity, and Inclusion
by Gustaf Neumann 23 Jul '20

23 Jul '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: Special Issue of Journal of Information Systems Education (JISE) on Equality, Diversity, and Inclusion Date: Thu, 23 Jul 2020 11:19:31 +0000 From: Lang, Michael <michael.lang(a)nuigalway.ie> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> The Journal of Information Systems Education (JISE) invites submissions for a Special Issue titled “Equality, Diversity, and Inclusion in IS Education”. This special issue is interested in the intersections between issues such as gender, ethnicity, culture, (dis)ability, socioeconomic status, family lifecycle stage, and age, and how they relate to information systems education or the use of technology in education. Submitted articles may be full research papers, systematic literature reviews, teaching cases, or practical teaching tips. Discursive opinion pieces are also welcome, with preference given to multi-authored contributions that include assenting and dissenting views. It is hoped that the selected papers will represent a broad and varied mix with several regions of the world represented. Papers for this special issue are due on September 30, 2020 (extensions considered on a case by case basis). Prospective authors are welcome to submit an abstract to the Guest Editors for preliminary feedback on the appropriateness of their planned manuscript. Further details about topics, submission guidelines, timelines, etcetera are available on the JISE website at http://jise.org/equality.html Guest Editors Michael Lang, NUI Galway, Ireland (Michael.Lang(a)nuigalway.ie) Mark Freeman, University of Wollongong, Australia Gaye Kiely, University College Cork, Ireland Amy Woszczynski, Kennesaw State University, USA _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP - Springer Social Network Analysis and Mining (SNAM) - Special Issue on Tackling COVID-19 Infodemic
by Gustaf Neumann 23 Jul '20

23 Jul '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP - Springer Social Network Analysis and Mining (SNAM) - Special Issue on Tackling COVID-19 Infodemic Date: Tue, 21 Jul 2020 21:05:11 -0700 From: Kai Shu <kshu(a)iit.edu> To: aisworld(a)lists.aisnet.org CC: Miriam Metzger <metzger(a)ucsb.edu>, Huan Liu <huanliu(a)asu.edu> *Call For Papers* ================== Social Network Analysis and Mining - Special Issue on Tackling COVID-19 Infodemic Website: https://www.springer.com/journal/13278/updates/18175124 *Description*================== While the COVID-19 pandemic continues its global devastation, numerous accompanying challenges emerge. One important challenge is to efficiently and effectively use recently gathered data and find computational tools to combat the COVID-19 infodemic. An infodemic is an overabundance of information – some accurate and some not – occurring during an epidemic. Rampant conspiracy theories, disinformation, misinformation, and various types of scams can spread fast by taking advantage of human gullibility, fear, and ignorance. Therefore, there is a pressing need to manage the infodemic to help people find trustworthy information and reliable guidance during this global public health crisis. AI for Good holds a lot of potential for solving societal problems including combating the infodemic, while challenges remain. It is important to integrate theories from different disciplines to help with the COVID-19 crisis. In this special issue, we provide an interdisciplinary forum for researchers and practitioners to combat the COVID-19 infodemic. We expect novel research to study the understanding, detection, mitigation, and measurement of the COVID-19 infodemic and potential future outbreaks. To facilitate further research in COVID-19 infodemic, this special issue welcomes interdisciplinary research articles, new open-access datasets, repositories, and benchmarks, broadening research on crisis informatics and its development. *Topics of interest include, but are not limited to:* ==================================== - Disinformation/misinformation detection and mitigation - Fact-checking and credibility assessment - Computational tools to understand, measure and contain infodemic - Diffusion and intervention of infodemic - Bias, transparency, and fairness - Economical impacts of infodemic - Infodemic monitoring across countries, regions, and cultures - Individual and societal impacts of COVID-19 infodemic - Epidemiology, public health, and infodemic - Psychology, marketing, and behavioral insights - Data science, applied maths, and physics for infodemic - Society, ethics, trust, and governance for infodemic - Attribution and source tracing of COVID-19 infodemic - Spatio-temporal infodemic analysis - Social network analysis - AI for COVID-19 - Sociological and psychological analysis of infodemic - COVID-19 infodemic datasets, benchmarks, and repositories *Submission Instructions* ================== Articles reporting original and unpublished research results pertaining to the above topics are solicited. We welcome two types of research contributions: (1) Research manuscripts reporting novel methodologies and results (up to 20 pages); (2) Benchmark, Datasets, Repositories, and Demonstration Systems (up to 8 pages). Submitted articles will follow an academic review process. Manuscripts must be prepared according to the instruction for authors available at the journal webpage and submitted through the publisher's online submission system, available at https://www.editorialmanager.com/snam/default.aspx. Please note: when submitting, please choose the correct special issue, i.e. "*SI: Tackling COVID-19 Infodemic*". *Important Dates* ================== Submission deadline: *October 15, 2020* Notification: November 25, 2020 Camera-ready deadline: December 30, 2020 *Guest Editors * ================== Kai Shu, Illinois Institute of Technology, kshu(a)iit.edu Miriam Metzger, University of California, Santa Barbara, metzger(a)ucsb.edu Huan Liu, Arizona State University, huanliu(a)asu.edu All questions can be directed to Kai Shu at kshu(a)iit.edu. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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