Cfp January 2020

cfp@alice.wu.ac.at

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Fwd: [AISWorld] DESRIST 2020 3rd Call for Papers
by Gustaf Neumann 14 Jan '20

14 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] DESRIST 2020 3rd Call for Papers Date: Tue, 14 Jan 2020 05:30:21 +0000 From: Rossi Matti <matti.rossi(a)aalto.fi> To: Isworld <aisworld(a)lists.aisnet.org> Design Science Research in Information Systems and Technologies (DESRIST) 2020 Conference https://desrist2020.org Host: University of Agder (UiA) Location: Kristiansand, Norway Date: June 9-11, 2020 Theme: Designing for Digital Transformation – Co-Creating Services with Citizens and Industry There has been a surge of interest in design science research (DSR) in Information Systems in the last few years and we can say that this is now a mature field. The goal of the design science research paradigm is to extend the boundaries of human and organizational capabilities by designing new and innovative constructs, models, methods, processes, and systems. Scholars from different backgrounds – such as information systems, computer science, data science, software engineering, energy informatics, medical informatics, and operations research – are actively engaged in generating novel solutions to interesting design problems. The theme of DESRIST 2020 is designing for digital transformation and our goal is to bring not only researchers but also practitioners from the private and public sector to the conference to discuss and debate how to co-create services for citizens and industries. Call for Contributions ------------------------------------- The 15th DESRIST conference will bring together researchers and practitioners engaged in all aspects of design science research, with a special emphasis on the design of services for digital transformation. Apart from theoretical contributions we are encouraging submissions on specific solutions, such as products and prototypes. We invite contributions (research papers, demos, and panel/debate proposals) that describe work in different areas of design science research, including, but not limited to, the following: * Conference Theme * Designing for Digital Transformation * Service Design and Design of Service Systems * Co-Designing Public Services and Governments * Theoretical and Methodological Contributions to Design Science Research * Science of Design and Design Theory * Design Processes and Principles of Design * Modularity and Rules in Design * Representations and Architectures for Design * Evaluation of Design Science Research * Emerging Methods and Tools in Design Science Research * Design Economics * Domain-specific Applications of Design Science Research We invite full papers, research-in-progress papers and panels as well as product and prototype presentations. See the submission page for details: https://desrist2020.org/submissions/ Publications ------------------------------------- The DESRIST Proceedings with the full research papers, research-in-progress papers, and prototypes papers accepted to the conference will be published in Lecture Notes in Computer Science (LNCS). Authors of selected papers will be invited to submit revised and extended versions of their work for fast-tracked submissions in journals of our discipline. Best Paper Award ------------------------------------- Two awards will be given out: the best paper of the conference, and the best student paper. Important Dates ------------------------------------- Paper, Poster and Prototype Submission Deadline: January 31, 2020 Paper Acceptance Notifications: March 10, 2020 Panel Submission Deadline: March 15, 2020 Panel Acceptance Notifications: March 25, 2020 Early Registration Deadline: April 5, 2020 Camera Ready Papers: April 7, 2020 Conference: June 10-11, 2020 Doctoral Consortium: June 9, 2020 2020 DESRIST Organization ------------------------------------- General Chairs Bengisu Tulu, Worcester Polytechnic Institute (WPI), USA Soussan Djamasbi, WPI, USA, Gondy Leroy, University of Arizona, USA Conference Chairs Maung Sein, UiA, Norway Leif Skiftenes Flak, UiA, Norway Program Chairs Oliver Mueller, Paderborn University, Germany Matti Rossi, Aalto University, Finland Panel Chairs Margunn Aanestad, UiA, Norway Polyxenia Vassilakopolou, UiA, Norway Monica Tremblay, William & Mary's Raymond A. Mason School of Business, USA Doctoral Consortium Chairs Sandeep Purao, Bentley University, USA Devinder Thapa, UiA, Norway Prototypes Chairs Amir Haj-Bolouri, University West, Sweden Leona Chandra Kruse, University of Liechtenstein, Liechtenstein Proceedings Chair Sara Hofmann, UiA, Norway Industry Relations Chairs Carl Erik Moe, UiA, Norway Local Arrangements Amna Drace, UiA, Norway Matti Rossi Professor of Information Systems Science Aalto University School of Business Department of Information and Service Management P.O. Box 21220, FI-00076 AALTO, Finland Visiting address Ekonominaukio 1 Room V209, Espoo https://goo.gl/maps/cniDWnZrAiy email: matti.rossi(a)aalto.fi<mailto:matti.rossi@aalto.fi> Mobile: +358-50-3835503, Skype: motrossi _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CfP: Digital Development Leadership – June 2020 UK DSA Conference track
by Gustaf Neumann 14 Jan '20

14 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP: Digital Development Leadership – June 2020 UK DSA Conference track Date: Tue, 14 Jan 2020 06:44:59 +0000 From: Jaco Renken <jaco.renken(a)manchester.ac.uk> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Call for Abstracts – “Digital Development Leadership” track UK Development Studies Association conference, 17-19 Jun 2020, University of Birmingham, UK This is a call for abstracts/presentations – exploratory, analytical, critical – on leadership of digital development with an initial deadline of 20 Jan 2020. We are seeking papers that help us to conceptualise, to analyse, to evidence, to critique and, overall, to build a picture of leadership for digital development: its nature, characteristics, capacities, challenges, approaches and impacts . The following timeline will be observed: - 20 Jan 2020 - prospective presenters to submit a “paper proposal” (title, author names & emails, short abstract of <300 characters; long abstract of <250 words) via the conference online form<https://nomadit.co.uk/dsa/dsa2020/conferencesuite.php/paperproposal/8924>. Track details and link to paper proposal online at: https://nomadit.co.uk/conference/dsa2020/p/8924 - Feb: decision communicated on paper proposals - 4 Mar: conference registration opens (early-bird discounts close 7 Apr) - 17-19 Jun: conference If you have any queries prior to abstract submission, do please ask: jaco.renken(a)manchester.ac.uk<mailto:jaco.renken@manchester.ac.uk> Track Organisers: - Jaco Renken, Richard Heeks, Epiphania Kimaro, Centre for Development Informatics<http://www.cdi.manchester.ac.uk/>, GDI, University of Manchester, UK ----------------------------------------------------------------------------------- This track is an initiative of the DSA’s Information, Technology and Development study group<https://www.devstud.org.uk/study-groups/information-technology-and-developm…> General call for papers details at: https://www.devstud.org.uk/conferences/2020/cfp.shtml _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [computational.science] [CFP] GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning (co-located with IPDPS 2020)
by Gustaf Neumann 12 Jan '20

12 Jan '20

-------- Forwarded Message -------- Subject: [computational.science] [CFP] GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning (co-located with IPDPS 2020) Date: Fri, 10 Jan 2020 17:49:26 +0000 From: Tumeo, Antonino via computational.science <computational.science(a)lists.iccsa.org> Reply-To: Tumeo, Antonino <Antonino.Tumeo(a)pnnl.gov> To: ascgroup(a)gmail.com <ascgroup(a)gmail.com> [Please accept our apologies for multiple postings.] CALL FOR PAPERS ******************************************************************************* GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning https://hpc.pnl.gov/grapl/ May 18, 2020 Co-Located with IPDPS 2020 New Orleans Louisiana, USA GrAPL is the result of the combination of two IPDPS workshops: GABB: Graph Algorithms Building Blocks GraML: Workshop on The Intersection of Graph Algorithms and Machine Learning ****************************************************************************** SUMMARY ------- Data analytics is one of the fastest growing segments of computer science. Many real-world analytic workloads are a mix of graph and machine learning methods. Graphs play an important role in the synthesis and analysis of relationships and organizational structures, furthering the ability of machine-learning methods to identify signature features. Given the difference in the parallel execution models of graph algorithms and machine learning methods, current tools, runtime systems, and architectures do not deliver consistently good performance across data analysis workflows. In this workshop we are interested in graphs, how their synthesis (representation) and analysis is supported in hardware and software, and the ways graph algorithms interact with machine learning. The workshop’s scope is broad and encompasses the wide range of methods used in large-scale data analytics workflows. This workshop seeks papers on the theory, model-based analysis, simulation, and analysis of operational data for graph analytics and related machine learning applications. In particular, we are interested, but not limited to the following topics: • Provide tractability and performance analysis in terms of complexity, time-to-solution, problem size, and quality of solution for systems that deal with mixed data analytics workflows; • Discuss the problem domains and problems addressable with graph methods, machine learning methods, or both; • Discuss programming models and associated frameworks such as Pregel, Galois, Boost, GraphBLAS, GraphChi, etc., for building large multi-attributed graphs; • Discuss how frameworks for building graph algorithms interact with those for building machine learning algorithms; • Discuss hardware platforms specialized for addressing large, dynamic, multi-attributed graphs and associated machine learning; Besides regular papers, short papers (up to four pages) describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. IMPORTANT DATES --------------- Position or full paper submission: February 3, 2020 Author Notification: February 29, 2020 Camera-ready: March 15, 2020 Workshop: May 18, 20120 PAPER SUBMISSIONS ----------------- Submissions will be done through Linklings: https://ssl.linklings.net/conferences/ipdps/ Please visit GrAPL'20 website for instructions: https://hpc.pnl.gov/grapl/ Authors can submit two types of papers: Short papers (up to 4 pages) and long papers (up to 10 pages). All submissions must be single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html ORGANIZATION ------------ General co-Chairs: Scott McMillan (CMU SEI), smcmillan(a)sei.cmu.edu Manoj Kumar (IBM), manoj1(a)us.ibm.com Program Chairs: Danai Koutra (University of Michigan, Ann Arbor), dkoutra(a)umich.edu Mahantesh Halappanavar (PNNL), hala(a)pnnl.gov GrAPL's Little Helpers: Tim Mattson (Intel) Antonino Tumeo (PNNL) Program Committee: Nesreen K Ahmed, Intel Research and Intel AI, USA Sasikanth Avancha, Intel Labs - Parallel Computing Lab, India Aydin Buluç, Lawrence Berkeley National Lab, USA Timothy A. Davis, University of Florida, USA Jana Doppa, Washington State University, USA John Gilbert, University of California at Santa Barbara, USA Sergio Gómez, Universitat Rovira i Virgili, Catalonia Will Hamilton, McGill University, Mila, Canada Stratis Ioannidis, Northeastern University, Boston, USA Bharat Kaul, Intel Labs - Parallel Computing Labs, India Kamesh Madduri, The Pennsylvania State University, USA Henning Meyerhenke, Humboldt University of Berlin, Germany Indranil Roy, Natural Intelligence, USA Robert Rallo, Pacific Northwest National Lab, USA P. Sadayappan, University of Utah, USA Yizhou Sun, University of California, Los Angeles, USA Flavio Vella, Free University of Bozen, Italy Steering Committee: David A. Bader (New Jersey Institute of Technology) Aydın Buluç (LBNL) John Feo (PNNL) John Gilbert (UC Santa Barbara) Tim Mattson (Intel) Ananth Kalyanaraman (Washington State University) Jeremy Kepner (MIT Lincoln Laboratory) Antonino Tumeo (PNNL)

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Fwd: [AISWorld] AMCIS 2020 CFP - Bright ICT Minitrack
by Gustaf Neumann 12 Jan '20

12 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] AMCIS 2020 CFP - Bright ICT Minitrack Date: Sat, 11 Jan 2020 16:47:46 -0500 From: Jiyong Park <jiyong.park(a)uncg.edu> To: aisworld(a)lists.aisnet.org *Minitrack: Bright ICT – Beyond Security and Privacy Concerns* *Information Security and Privacy (SIGSEC)* *AMCIS 2020* *Salt Lake City, Utah, August 12-16 2020* *CALL FOR PAPERS* Global information and communication infrastructures and platforms have made businesses and the broader society more efficient and effective. However, many serious side effects have emerged alongside these information and communications technology (ICT) platforms, imperiling the foundation of future not only in a particular country, but also across borders. To reduce the substantial adverse effects on our economy and national security, many researchers pay high attention to the negative effects of ICT and investigate concepts and approaches to drastically reduce its undesirable consequences. Beyond simple concerns of security and privacy, we have to establish safe and secure ICT platforms which can preventively identify and mitigate malicious anonymous security and privacy concerns across the globe. This minitrack extends the vision of ICT-enabled Bright Society adopted as an AIS Grand Vision Project (in short, Bright ICT Initiative) in 2014 (see Lee 2015).[1] <#_ftn1> In doing so, this minitrack encompasses the development of relevant technologies, business models, public policies, social norms, international agreements, and national indexes for bright, secure, and trusted ICT platforms (including Internet architecture). Systematic research on a global scale is particularly welcomed. This minitack invites original research articles addressing a broad coverage of technical, managerial, economic, and strategic solutions towards developing the bright ICT platforms, with emphasis on global trust building. Papers may employ any applicable IS research methods (e.g., case study, survey, analytical modeling, experiments, computational models, design science, etc.). Topics of interest, but not limited to: · Preventive bright ICT paradigm · Bright ICT in global environments · Cross-cultural security awareness · Compliance and liability · Cross-cultural views on privacy · Privacy management and concerns · Ethics in privacy and security Important Dates: · January 6, 2020: Manuscript submissions for AMCIS 2020 (*Now Open*) at PCS Submission ( https://new.precisionconference.com/user/login?society=ais) · *February 28, 2020*: AMCIS manuscript submissions closes for authors at 5:00pm MST (completed research and Emergent Research Forum (ERF)) · April 22, 2020: Camera-ready papers are due at 5:00pm MST We look forward to receiving your best works for the minitrack of Bright ICT. If you have any questions, feel free to contact one of minitrack co-chairs. Minitrack Co-Chairs Jiyong Park, jiyong.park(a)uncg.edu, University of North Carolina at Greensboro Aaron Michael French, afrench(a)unm.edu, University of New Mexico Dan J. Kim, dan.kim(a)unt.edu, University of North Texas ------------------------------ [1] <#_ftnref1> Lee, Jae Kyu. 2015. "Guest Editorial: Research Framework for AIS Grand Vision of the Bright ICT Initiative," *MIS Quarterly*, (39: 2) pp.iii-xii. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] ACM SIGMIS CPR Doctoral Consortium 2020
by Gustaf Neumann 12 Jan '20

12 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] ACM SIGMIS CPR Doctoral Consortium 2020 Date: Sat, 11 Jan 2020 22:37:38 +0000 From: Dr. Indira Guzman <Indira.Guzman(a)trident.edu> To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org>, SIGMIS-MEMBERS(a)listserv.acm.org <SIGMIS-MEMBERS(a)listserv.acm.org> CC: Dr. Indira Guzman <Indira.Guzman(a)trident.edu> Doctoral Consortium ACM SIGMIS Computers and People Research 2020 Digital Innovation: Designing our Digital Future Location: Nuremberg, Germany Dates: June 19-21, 2020 In conjunction with the CPR 2020 conference, a doctoral consortium will take place on the opening day of the conference. This doctoral consortium is intended for students at any stage of their dissertation research. This could include those students who are in the early stages of writing their dissertation proposal, through to those who are writing up their findings. Students interested in participating in the SIGMIS CPR doctoral consortium should be conducting research on a topic related to the conference theme or to the broad CPR focus on intersection of information technology and people. The purpose of the consortium is two-fold: * Provide feedback and guidance to students on their proposal while at a stage where feedback can be considered for future dissertation work. * Provide mentoring and networking opportunities to students who wish to pursue careers as researchers at the intersection of information systems and people. Doctoral students interested in the consortium must submit an application package which includes: (1) a nomination letter, (2) an application letter from doctoral students, (3) 1/2 page executive summary of the project, ans (4) a research proposal. Students nominated for the consortium by their faculty sponsor should submit the nomination letter and a 10-page research proposal together via email (sigmisacm(a)gmail.com<mailto:sigmisacm@gmail.com>) by the due date (February 3rd, 2020). Nomination Letter. Doctoral students may be nominated to the consortium by any faculty sponsor such as their dissertation chair, coursework advisor or a faculty member with whom the student is conducting research. The nomination letter must indicate the student is in good standing in their program, the sponsor's relationship with the student (eg. advisor, chair, instructor), the student's status in terms of completion of their dissertation (eg. proposal stage, pre-proposal, etc.), and potential value in attending. Application Letter. Students must submit an applicaiton letter describing why they would benefit from attending, along with specifics on personal learning objectives, and at least two challenges or questions they seek assistance with. Executive Summary. The 1/2 page should be suitable for sharing with other doctoral attendees and/or publication in the Proceedings if accepted. (Brief statement of Research Question, Motivation, Theoretical foundation, Methodology, Early Findings if applicable.) Research Proposal. The student's research proposal should be 11pt font, double spaced; the 10 pages excludes figures and references. The document must clearly articulate the goal and motivation of the research, the theories and literature that guide the research, the methodology being used or under consideration, and early findings if available. The application package will be reviewed by a panel of highly qualified senior faculty mentors. The doctoral students selected to participate in the doctoral consortium will receive one round of written feedback on their proposal prior to the conference. At the conference, each student will present their research ideas or questions and engage in discussion with faculty and fellow consortium participants. The doctoral consortium will allow activities in plenary mode and intense workshop sessions in smaller groups. * Accepted students may choose to publish an extended abstract of their proposal in the conference proceedings. * Funding will be available to assist with travel and registration fees to students selected for the doctoral consortium. If you have any questions you may contact any of the doctoral consortium co-chairs. Doctoral Consortium Co-Chairs Deborah Armstrong (djarmstrong(a)business.fsu.edu) Andreas Eckhardt (andreas.eckhardt(a)ggs.de) Indira Guzman (indira.guzman(a)trident.edu) Michelle Kaarst-Brown (mlbrow03(a)syr.edu) Tim Weitzel (tim.weitzel(a)uni-bamberg.de) <https://www.trident.edu/mktg/refer-a-friend/?cid=701E0000000ec2i> [Refer a Friend] This message from Trident University International may contain confidential or privileged information solely intended for the person or entity to which it is addressed. If you received this transmission in error, please call us immediately at 1-800-375-9878. Disclosure or use of any part of this message by persons other than the intended recipient is prohibited. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Special Issue of JAMS on Technology & Marketing
by Gustaf Neumann 11 Jan '20

11 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] Special Issue of JAMS on Technology & Marketing Date: Sat, 11 Jan 2020 18:21:53 +0000 From: Elena Karahanna <ekarah(a)uga.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear colleagues: The following special issue of the Journal of the Academy of Marketing Science on Technology and Marketing may be of interest. Journal of the Academy of Marketing Science, 48:1, January 2020 Special Issue: Technology and Marketing Issue Editors: Dhruv Grewal, John Hulland, Praveen K. Kopalle, Elena Karahanna Table of Contents Editorial The future of technology and marketing: a multidisciplinary perspective Dhruv Grewal, John Hulland, Praveen K. Kopalle, Elena Karahanna Articles Emerging technologies and analytics for a new era of value-centered marketing in healthcare Ritu Agarwal, Michelle Dugas, Gordon Gao, P.K. Kannan How artificial intelligence will change the future of marketing Thomas Davenport, Abhijit Guha, Dhruv Grewal Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing Felipe Thomaz, Carolina Salge, Elena Karahanna, John Hulland Personalized mobile marketing strategies Siliang Tong, Xueming Luo, Bo Xu The future of social media in marketing Gil Appel, Lauren Grewal, Rhonda Hadi, Andrew T. Stephen The future of in-store technology Dhruv Grewal, Stephanie M. Noble, Anne L. Roggeveen, Jens Nordfalt How legacy firms can embrace the digital ecosystem via digital customer orientation Praveen K. Kopalle, V. Kumar, Mohan Supramanian Commentaries Technology-enabled interactions in digital environments: a conceptual foundation for current and future research Manjit S. Yadav, Paul A. Pavlou Explainable AI: from black box to glass box Arun Rai Elena Karahanna, Ph.D. Distinguished Research Professor & L. Edmund Rast Professor of Business Management Information Systems Department C413 Benson Hall | 600 S. Lumpkin St. | Athens, GA 30602 https://www.terry.uga.edu/directory/mis/elena-karahanna.html www.elenakarahanna.net<http://www.elenakarahanna.net/> [1503014768756_PastedImage]

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Fwd: [AISWorld] CFP: Book chapter for Book: *Handbook of Research on Intelligent Analytics with Multi-Industry Applications*
by Gustaf Neumann 11 Jan '20

11 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: Book chapter for Book: *Handbook of Research on Intelligent Analytics with Multi-Industry Applications* Date: Sat, 11 Jan 2020 11:10:29 -0500 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org, IRMA ListServ <irma-l(a)irma-international.org>, irma-list(a)irma-international.org CALL FOR BOOK CHAPTERS 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 also see 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, AI, 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 * Emerging AI-based technologies * Emerging 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 Researchers and practitioners are invited to submit on or before January 11, 2020 a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by January 25, 2020 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by May 10, 2020, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Handbook of Research on Intelligent Analytics with Multi-Industry Applications. All manuscripts are accepted based on a double-blind peer review editorial process. All proposals should be submitted through the eEditorial Discovery®TM online submission manager at https://www.igi-global.com/publish/call-for-papers/call-details/4539 Submission Format and Evaluation 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. Publisher This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in the end of 2020. Important Dates * January 30, 2020: Proposal Submission Deadline * February 16, 2020: Notification of Acceptance * May 10, 2020: Full Chapter Submission * July 8, 2020: Review Results Returned * August 19, 2020: Final Acceptance Notification * September 2, 2020: Final Chapter Submission Inquiries If you have any questions about this book or interest in submitting a book chapter, please contact Prof. Dr. Zhaohao Sun, Ph.D. Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology, Morobe, PNG & Federation University Australia zhaohao.sun(a)gmail.com; z.sun(a)federation.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Connection Science, most recent issue published (Vol. 31, Issue 4, 2019)
by Gustaf Neumann 11 Jan '20

11 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] Connection Science, most recent issue published (Vol. 31, Issue 4, 2019) Date: Sat, 11 Jan 2020 09:41:07 +0000 From: Editorial Manager <journaleditorialmanager(a)outlook.com> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleagues and Friends, We would like to bring to your attention to the recently published papers in the latest issue of Connection Science. WEB: https://www.tandfonline.com/toc/ccos20/current Connection Science is a leading inter-disciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modeling, artificial intelligence, machine learning, deep learning, Big Data, quantum computing, Blockchain, Zero-Knowledge Proofs, Internet of Things, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in all aspects of Computer Science, and applied applications are particularly relevant and welcome. The journal also encourages submission of research in systems-level computational subjects that seeks to understand models in science and engineering. Connection Science is indexed by SCI, SCIE /Clarivate Analytics, EI Compendex, INSPEC, SCOPUS, CrossRef, DBLP, and 10+ others. Please submit your high-quality manuscripts for publication consideration in Connection Science. Connection Science, Vol. 31, Issue 4, 2019 Title and author(s) Fuzzy kernel feature selection with multi-objective differential evolution algorithm Emrah Hancer pages 323-341 DOI: 10.1080/09540091.2019.1639624 Solving optimal control problems of the time-delayed systems by a neural network framework pages 342-372 DOI: 10.1080/09540091.2019.1604627 Event-triggered H∞ anti-synchronisation for delayed neural networks with discontinuous neuron activations via non-fragile control strategy Min Liu, Huaiqin Wu, Jinde Cao, Yanning Wang pages 373-429 DOI: 10.1080/09540091.2019.1604628 Exploring the usability of the text-based CAPTCHA on tablet computers Darko Brodić and Alessia Amelio pages 430-444 DOI: 10.1080/09540091.2019.1609417 ----- The Editorial Office Connection Science https://www.tandfonline.com/ccos20 journaleditorialmanager(a)outlook.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] ECIS 2020 Blockchain Workshop: Call for Abstracts
by Gustaf Neumann 11 Jan '20

11 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] ECIS 2020 Blockchain Workshop: Call for Abstracts Date: Wed, 1 Jan 2020 12:05:00 +0000 From: Trevor Clohessy <Trevor.Clohessy(a)gmit.ie> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Third Pre-ECIS Workshop on Blockchain Research: Beyond the Horizon - June 13th (9am - 12pm) & 14th (9am - 12pm)<https://ecis2020.ma/workshops-and-ancillary-meetings/> Call for Abstracts Description of Workshop The first blockchain – a peer to peer virtual currency system – was introduced in October 2008 as part of a proposal for Bitcoin by Satoshi Nakamato, that “eschewed a central authority for issuing currency, transferring ownership, and confirming transactions” (Iansiti and Lakhani, 2017). Today’s applications of such systems range from low novelty and complexity initiatives (e.g. Bitcoin payments) to high novelty and complex initiatives (e.g. self-executing contracts). There are also nuanced mature Blockchain supply chain tracking initiatives in multiple domains. Therefore, rigorous research pertaining to Blockchain is highly needed, specifically from an organizational readiness perspective. Building on the success of two previous ECIS workshops in Portsmouth, UK, in 2018 and in Stockholm, Sweden, in 2019, the aim of this workshop is to advance the theoretical and practical discussions on Blockchain and to provide substantial feedback to authors with an interactive format. This workshop is open to both early-stage and advanced blockchain research projects and offers networking opportunities. The workshop will take place over two half-days in a hybrid format encompassing paper sessions and interactive hands-on feedback. The goal of the workshop is twofold: (1) giving feedback to the authors and helping them to develop their ideas, and (2) providing networking and collaboration opportunities. Abstract Submission Requirements/Limits This workshop is open to academic, public sector, governmental and industry participants. Workshop participants are selected based on extended abstracts. These abstracts can either be ideas or suggestions for academic papers or research collaborations or insights from proposed or current industry blockchain projects. Either way, they should be early stage, but show some potential. In the abstract the authors should provide a concrete idea on the topic they are interested in. The extended abstracts should not exceed two (2) pages. The submitted abstracts should outline a research question, the research method being used and the expected findings. There are no restrictions pertaining to the academic approach. Conceptual abstracts are fine, as are empirical (theory building and testing) and design science papers. The workshop will be restricted to 30 participants. Accepted authors will be allocated to teams based on similar blockchain research interests and situated at roundtables. All accepted authors will be expected to read all accepted papers prior to the workshop. Initially, the authors will briefly present an overview of their research. They will then receive constructive feedback from both mentors and fellow authors on how they can advance their own blockchain research or projects. Relevant Dates Submissions due by March 20, 2020, to be sent to workshop organizers below. Replies by April 17, 2020 Workshops and Tutorials will be held on June 13 (9am – 12pm) and 14 (9am – 12pm), at Marrakech. Please Send Abstracts to the Facilitating team Trevor Clohessy, Assistant Professor, Department of Enterprise and Technology, Galway-Mayo Institute of Technology, Ireland Email: trevor.clohessy(a)gmit.ie<mailto:trevor.clohessy@gmit.ie> Eamon Walsh, Lecturer, PhD Researcher and Head of Department, Department of Enterprise and Technology, Galway-Mayo Institute of Technology, Ireland Email: eamon.walsh(a)gmit.ie<mailto:eamon.walsh@gmit.ie> Horst Treiblmaier, Professor, Modul University Vienna, Austria Email: horst.treiblmaier(a)modul.ac.at<mailto:horst.treiblmaier@modul.ac.at> Theo Stratopoulos, Associate Professor, School of Accounting and Finance, University of Waterloo, Ontario, Canada Email: tstratopoulos(a)uwaterloo.ca<mailto:tstratopoulos@uwaterloo.ca> Tá an ríomhphost seo faoi réir an tséanta seo leanas atá le fáil ag Séanadh Ríomhphost GMIT<http://www.gmit.ie/general/seanadh-riomhphoist> This email is subject to the following disclaimer available at GMIT Email Disclaimer<http://www.gmit.ie/general/email-disclaimer> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [computational.science] ICCSA 2020: COA Workshop
by Gustaf Neumann 11 Jan '20

11 Jan '20

-------- Forwarded Message -------- Subject: [computational.science] ICCSA 2020: COA Workshop Date: Fri, 10 Jan 2020 10:19:23 +0000 From: Ana Rocha via computational.science <computational.science(a)lists.iccsa.org> Reply-To: Ana Rocha <arocha(a)dps.uminho.pt> Organization: UMinho To: computational.science(a)lists.iccsa.org Dear colleague, This is an invitation to submit a contribution for the: Computational Optimization and Applications (COA 2020) Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020, http://www.iccsa.org/) will be held on July 1 - 4, 2020 in Cagliari, Italy. TOPICS ====== The scope of the Workshop is to bring together scientists working in Computational Optimization and its applications in science and engineering. Topics of interest include (but are not limited to): * Computational Optimization: new issues in computational algorithms for continuous and discrete optimization; deterministic and stochastic algorithms, nature-inspired algorithms and other metaheuristic algorithms for solving optimization problems. * Applications: case studies in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. IMPORTANT DATES ================ February 15, 2020: Deadline for abstract and paper submission to the COA Workshop April 15, 2020: Notification of Acceptance. May 8, 2020: Early-bird Registration ends. May 8, 2020: Submission deadline for the final version of the Proceeding Papers July 1-4, 2020: ICCSA 2020 Conference PROCEEDINGS ============ The proceedings of the COA 2020 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site (http://www.iccsa.org/instructions-for-authors ) If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZERS =========== * Ana Maria A. C. Rocha (arocha(a)dps.uminho.pt), Dep. of Production and Systems (University of Minho), Centro ALGORITMI (University of Minho), Portugal * Humberto Rocha (hrocha(a)fe.uc.pt), Economics Faculty (University of Coimbra), CeBER (University of Coimbra), Portugal If you have some doubts or problems so not hesitate to contact the organizers. Best regards, Ana Maria A.C. Rocha and Humberto Rocha (COA 2020 organizers)

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