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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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Fwd: [AISWorld] 19th Annual Security Conference | Las Vegas | Submission System Problem Resolved
by Gustaf Neumann 11 Jan '20

11 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] 19th Annual Security Conference | Las Vegas | Submission System Problem Resolved Date: Fri, 10 Jan 2020 16:07:59 -0500 From: Gurpreet Dhillon <gpdhillon9(a)gmail.com> Reply-To: gdhillon(a)uncg.edu To: AISworld(a)lists.aisnet.org -------------------- Submission system problem has now been resolved. -------------------- The 19th Annual Security Conference Cybersecurity Workforce Development Challenges March 30 - April 1, 2020 The Tuscany Las Vegas, Nevada, USA www.security-conference.org CALL FOR PAPERS Submissions: January 15, 2019. The nature and scope of the Information Security field have evolved over the past several years. No longer are we just concerned with protecting the technical edifice. Our emphasis has become more holistic and we tend to consider all aspects of information protection as central to the field of security. The Annual Security Conference provides a forum for discourses in Security, Assurance, and Privacy that will define the moment and provide a useful basis for nurturing further dialogues. Contributions in the form of research papers, panel proposals, and case studies are invited. All submissions are peer-reviewed and considered for publication in the Journal of Information System Security ( http://www.jissec.org), European Journal of Management Studies and Information and Computer Security. Further details and submission instructions can be found at: www.security-conference.org General Chair Gurpreet Dhillon, The University of North Carolina, Greensboro, USA Co-Conference Chairs Dionysios Demetis, University of Hull, UK Steve Furnell, University of Plymouth, UK Program Chair Mark Harris, Augusta University, USA Mark Schmidt, St. Cloud State University, USA Spiro Samonas, Panasonic Avionics, USA Organizing Chair Kane Smith, The University of North Carolina, Greensboro, USA European Outreach Chairs Ella Kolkowska, Örebro University, Sweden Sergio Nunes, ISEG, University of Lisboa, Portugal International Program Committee Atif Ahmad, University of Melbourne, Australia Raj Sharman, University at Buffalo, USA Ian Angell, London School of Economics, UKIMG_0424 James Backhouse, London School of Economics, UK Rita Barrios, Compuware, USA Stefan Beißel, EUFH, Germany Mario Caldeira, ISEG University of Lisboa, Portugal Nathan Clarke, University of Plymouth, UK David L. Coss, College of Charleston, USA Eduardo Vera Cruz, University of Lisboa, Portugal Meledath Damodaran, University of Houston-Victoria, USA John D’Arcy, Notre Dame University, USA Dionysis Demetis, University of Hull, UK Robert Erbacher, Utah State University, USA Jean-Noel Ezingeard, Manchester Metropolitan University, UK Solange Ghernaouti-Hélie, University of Lausanne, Switzerland Sanjay Goel, State University of New York at Albany, NY, USA Karin Hedstrom, Orebro University, Sweden Anat Hovav, Korea University Business School, S. Korea Fredrik Karlson, Orebro University, Sweden Ella Kolkowska, Orebro University, Sweden Michael Lapke, University of Mary Washington, USA, USA Jeff May, James Madison University, USA Jean-Henry Morin, University of Geneva, Switzerland Krish Muralidhar, University of Kentucky, USA Sergio Nunes, ISEG, University of Lisboa, Portugal Yasser Omar, ISEG, University of Lisboa, Portugal Nancy Pouloudi, Athens University of Economics & Business, Greece Mario Romāo, ISEG, University of Lisboa, Portugal Nancy Russo, Northern Illinois University, USA Carlos Salema, IST University of Lisboa, Portugal Rathindra Sarathy, Oklahoma State University, USA Filipe de Sá-Soares, University of Minho, Portugal Reijo Savola, VTT Technical Research Centre of Finland Oulu, Finland Richard S. Swart, Utah State University, USA Junyuan Zeng, Samsung Research America, USA _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] FastPath 2020: International Workshop on Performance Analysis of Machine Learning Systems (An ISPASS Workshop under the auspices of IEEE)
by Gustaf Neumann 11 Jan '20

11 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] FastPath 2020: International Workshop on Performance Analysis of Machine Learning Systems (An ISPASS Workshop under the auspices of IEEE) Date: Fri, 10 Jan 2020 18:05:08 +0000 From: Falk Pollok <Falk.Pollok(a)ibm.com> To: aisworld(a)lists.aisnet.org FastPath 2020: International Workshop on Performance Analysis of Machine Learning Systems (An ISPASS Workshop under the auspices of IEEE) April 5, 2020 - Boston, Massachusetts, United States https://fastpath2020.github.io in conjunction with ISPASS 2020: http://www.ispass.org/ispass2020 SUMMARY FastPath 2019 brings together researchers and practitioners involved in crossstack hardware/software performance analysis, modeling, and evaluation for efficient machine learning systems. Machine learning demands tremendous amount of computing. Current machine learning systems are diverse, including cellphones, high performance computing systems, database systems, self-driving cars, robotics, and in-home appliances. Many machine-learning systems have customized hardware and/or software. The types and components of such systems vary, but a partial list includes traditional CPUs assisted with accelerators (ASICs, FPGAs, GPUs), memory accelerators, I/O accelerators, hybrid systems, converged infrastructure, and IT appliances. Designing efficient machine learning systems poses several challenges. These include distributed training on big data, hyper-parameter tuning for models, emerging accelerators, fast I/O for random inputs, approximate computing for training and inference, programming models for a diverse machine-learning workloads, high-bandwidth interconnect, efficient mapping of processing logic on hardware, and cross system stack performance optimization. Emerging infrastructure supporting big data analytics, cognitive computing, large-scale machine learning, mobile computing, and internet-of-things, exemplify system designs optimized for machine learning at large. TOPICS FastPath seeks to facilitate the exchange of ideas on performance optimization of machine learning/AI systems and seeks papers on a wide range of topics including, but not limited to: - Workload characterization, performance modeling and profiling of machine learning applications - GPUs, FPGAs, ASIC accelerators - Memory, I/O, storage, network accelerators - Hardware/software co-design - Efficient machine learning algorithms - Approximate computing in machine learning - Power/Energy and learning acceleration - Software, library, and runtime for machine learning systems - Workload scheduling and orchestration - Machine learning in cloud systems - Large-scale machine learning systems - Emerging intelligent/cognitive system - Converged/integrated infrastructure - Machine learning systems for specific domains, e.g., financial, biological, education, commerce, healthcare SUBMISSION Prospective authors must submit a 2-4 page extended abstract: https://easychair.org/conferences/?conf=fastpath2020 Authors of selected abstracts will be invited to give a 30-min presentation at the workshop. KEY DATES Submission: February 21, 2020 Notification: March 2, 2020 Final Materials / Workshop: April 5, 2020 ORGANIZERS General Chair: Erik Altman Program Committee Chairs: Parijat Dube, Vijay Janapa Reddi [Sender: Falk Pollok, falk.pollok(a)ibm.com (with apologies for multiple posts)] _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 2nd CFP: SPeL 2020 (13th International Workshop on Social and Personal Computing for Web-Supported Learning Communities)
by Gustaf Neumann 11 Jan '20

11 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] 2nd CFP: SPeL 2020 (13th International Workshop on Social and Personal Computing for Web-Supported Learning Communities) Date: Fri, 10 Jan 2020 20:28:49 +0200 (EET) From: Elvira Popescu <popescu_elvira(a)software.ucv.ro> To: aisworld(a)lists.aisnet.org ================================================================== SPeL 2020 13th International Workshop on Social and Personal Computing for Web-Supported Learning Communities http://software.ucv.ro/~epopescu/spel2020 In conjunction with MIS4TEL 2020 (10th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning) https://www.mis4tel-conference.net 17-19 June 2020 L'Aquila, Italy * Paper submission deadline: January 31, 2020 (preceded by a mandatory abstract submission by January 24) * All accepted workshop papers will be published by Springer in Advances in Intelligent Systems and Computing series. ================================================================== MOTIVATION =========== The workshop follows the previous SPeL 2008, SPeL 2009, SPeL 2010, SPeL 2011, DULP & SPeL 2012, SPeL 2013, SPeL 2014, SPeL 2015, SPeL 2016, SPeL 2017, SPeL 2018 and SPeL 2019 workshops, held in conjunction with the SAINT 2008 conference, WI/IAT 2009 conference, DEXA 2010 conference, ICWL 2011 conference, ICALT 2012 conference, ICSTCC 2013 conference, ICWL 2014 conference, ICSLE 2015 conference, ICWL & SETE 2016 conferences, ICWL & SETE 2017 conferences, MIS4TEL 2018 conference and ICWL & SETE 2019 conferences respectively. The general topic of the workshop is the social and personal computing for web-supported learning communities. Web-based learning is moving from centralized, institution-based systems to a decentralized and informal creation and sharing of knowledge. Social software (e.g., blogs, wikis, social bookmarking systems, media sharing services) is increasingly being used for e-learning purposes, helping to create novel learning experiences and knowledge. In the world of pervasive Internet, learners are also evolving: the so-called "digital natives" want to be in constant communication with their peers, they expect an individualized instruction and a personalized learning environment, which automatically adapt to their individual needs. The challenge in this context is to provide intelligent and adaptive support for collaborative learning, taking into consideration the individual differences between learners. This workshop deals with current research on the interplay between collaboration and personalization issues for supporting intelligent learning environments. Its aim is to provide a forum for discussing new trends and initiatives in this area, including research about the planning, development, application, and evaluation of intelligent learning environments, where people can learn together in a personalized way through social interaction with other learners. The workshop is targeted at academic researchers, developers, educationists and practitioners interested in innovative uses of social media and adaptation techniques for the advancement of intelligent learning environments. The proposed field is interdisciplinary and very dynamic, taking into account the recent advent of Web 2.0 and ubiquitous personalization, and it is hoped to attract a large audience. TOPICS OF INTEREST ================== The workshop welcomes submissions covering aspects of collaboration, social interactions, adaptivity and personalization in technology enhanced learning, particularly related to issues about: * Social learning environments * Theory and modeling of social computing in education * Web 2.0 tools for collaborative learning * Personal learning environments * Lifelong learning networks * Virtual spaces for learning communities * Social networks analysis and mining * Computer-supported collaborative learning * Personalized and adaptive learning * Adaptation methods and techniques for groups of learners * Intelligent learner and group modeling * Collaborative filtering and recommendations for learners * Game-based social learning * Personalized mobile learning applications * Cloud-based social learning * Intelligent agent technology for social learning * Metadata, folksonomies and tagging * Semantic web and ontologies for personalized learning * Cognitive, motivational and affective aspects for personalization * Practice and experience sharing PAPER SUBMISSION AND PUBLICATION ================================== The workshop papers should be formatted according to the Springer AISC template (ftp://ftp.springernature.com/cs-proceeding/llncs/word/splnproc1703.zip). The length of the manuscript should be 4-6 pages for short papers and 8 pages for full papers. Papers should be submitted in PDF format, through the Easychair system (https://easychair.org/conferences/?conf=mis4tel20 - please select "Workshop on Social and Personal Computing for Web-Supported Learning Communities"). All accepted workshop papers will be included in MIS4TEL 2020 Proceedings, published by Springer in Advances in Intelligent Systems and Computing series. IMPORTANT DATES =============== Abstract submission: January 24, 2020 Full paper submission: January 31, 2020 Acceptance notification: March 9, 2020 Registration and camera-ready papers: March 30, 2020 Conference dates: June 17-19, 2020 WORKSHOP CHAIRS ================ Elvira Popescu - University of Craiova, Romania Sabine Graf - Athabasca University, Canada Please refer to the workshop website (http://software.ucv.ro/~epopescu/spel2020) for more information and contact us at: popescu_elvira(a)software.ucv.ro or sabineg(a)athabascau.ca for any inquiry. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] IJISPM - International Journal of Information Systems and Project Management, Volume 7
by Gustaf Neumann 11 Jan '20

11 Jan '20

-------- Forwarded Message -------- Subject: [AISWorld] IJISPM - International Journal of Information Systems and Project Management, Volume 7 Date: Fri, 10 Jan 2020 11:20:23 +0000 From: João Varajão <varajao(a)dsi.uminho.pt> To: aisworld(a)lists.aisnet.org Dear Colleagues, The International Journal of Information Systems and Project Management (IJISPM) is pleased to announce that all the papers of volume 7 are now available for download at: https://ijispm.sciencesphere.org/ ***** Volume 7 includes the following contributions: Viewpoints: Go for it: Where IS researchers aren’t researching Carol Saunders, University of South Florida, USA Anne-F. Rutkowski, Tilburg University, The Netherlands Governance, governmentality and project performance: the role of sovereignty Ralf Müller, BI Norwegian Business School, Norway Research and practice in IS: insights from medicine that might contribute to overcoming the relevance deficit in the IS domain João Álvaro Carvalho, University of Minho, Portugal Research papers: Performance measurement of complex project: framework and means supporting management of project-based organizations Erik Głodziński, Warsaw University of Technology, Poland Evaluation of the usability of a new ITG instrument to measure hard and soft governance maturity Daniel Smits, University of Twente, The Netherlands Jos van Hillegersberg, University of Twente, The Netherlands Using a coach to improve team performance when the team uses a Kanban process methodology Ivan Shamshurin, Syracuse University, USA Jeffrey S. Saltz, Syracuse University, USA Consumer perspectives on information privacy following the implementation of the GDPR Wanda Presthus, Kristiania University College, Norway Hanne Sørum, Kristiania University College, Norway A comparison of project control standards based on network analysis Nathalie Perrier, Polytechnique Montréal, Canada Salah-Eddine Benbrahim, Polytechnique Montréal, Canada Robert Pellerin, Polytechnique Montréal, Canada Business process models and entity life cycles Giorgio Bruno, Politecnico di Torino, Italy Causing factors, outcomes, and governance of Shadow IT and business-managed IT: a systematic literature review Stefan Klotz, TU Dresden, Germany Andreas Kopper, TU Dresden, Germany Markus Westner, OTH Regensburg, Germany Susanne Strahringer, TU Dresden, Germany Improving and embedding project management practice: generic or context dependent? Gabriela Fernandes, University of Minho, Portugal Madalena Araújo, University of Minho, Portugal Project resilience: a conceptual framework Khalil Rahi, Polytechnique Montreal, Canada An interpretive study on the role of top managers in enterprise resource planning (ERP) business value creation José Fernando López-Muñoz, ESIC Business & Marketing School, Spain Alejandro Escribá-Esteve, University of Valencia, Spain An empirical analysis on the effects of investment assessment methods on IS/IT project success Meltem Özturan, Boğaziçi University, Turkey Furkan Gürsoy, Boğaziçi University, Turkey Burç Çeken, Boğaziçi University, Turkey Towards design of citizen centric e-government projects in developing country context: the design-reality gap in Uganda Stephen Kyakulumbye, University of the Western Cape, Uganda Shaun Pather, University of the Western Cape, South Africa Mmaki Jantjies, University of the Western Cape, South Africa Megaproject complexity attributes and competences: lessons from IT and construction projects Maxwell Nyarirangwe, University of the Witwatersrand, South Africa Oluwayomi. K. Babatunde, University of the Witwatersrand, South Africa Editorials from: Sam Takavarasha Jr, University of Fort Hare, South Africa Carl Adams, University of Portsmouth, United Kingdom Liezel Cilliers, University of Fort Hare, South Africa João Varajão, University of Minho, Portugal ***** IJISPM is an AIS affiliated journal. Published four times per year, the IJISPM offers comprehensive coverage of aspects of information systems and project management, seeking contributions that build on established lines of work, as well as on new research streams. Researchers and practitioners are encouraged to submit their manuscripts to the IJISPM. The guidelines for submission can be found at the journal’s homepage: http://ijispm.sciencesphere.org Best wishes for 2020!! João Varajão Editor-in-Chief, International Journal of Information Systems and Project Management (IJISPM) University of Minho, Portugal _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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