Cfp June 2020

cfp@alice.wu.ac.at

1 participants
146 discussions

Fwd: [AISWorld] HCOMP 2020: Call for Work-in-Progress and Demonstration Papers
by Gustaf Neumann 30 Jun '20

30 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] HCOMP 2020: Call for Work-in-Progress and Demonstration Papers Date: Tue, 30 Jun 2020 13:41:36 +0200 From: HCOMP Publicity <hcomp.publicity(a)gmail.com> To: AISWorld(a)lists.aisnet.org * We apologize for cross-posting * *** Covid-19 announcement *** The HCOMP organisers are monitoring the ongoing situation around Covid-19 closely. We plan to hold the conference at the same dates, either online, or, if it‘s safe and the restrictions allow it, at the planned venue in the Netherlands. We aim to disclose further details in a few months. In the meantime, we’re looking forward to your submissions! *** HCOMP 2020: Call for Work-in-Progress and Demonstration Papers *** Hilversum, the Netherlands October 26-28 2020 Website: https://www.humancomputation.com Twitter: @hcomp_conf <> <>IMPORTANT DATES - All times are midnight CEST (Amsterdam time) August 7, 2020: Submission due August 20, 2020: Notification of acceptance September 20, 2020: Final camera-ready papers due <>OVERVIEW The Works-in-Progress and Demonstration track focuses on recent findings or other types of innovative or thought-provoking work, hands-on demonstration, novel interactive technologies and experiences relevant to the HCOMP community. We encourage practitioners and researchers to submit Works-in-Progress & Demo Track as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. To maximise visibility this year accepted Works-in-Progress and Demonstration submissions will also be presented with a 1-2 min PechaKucha presentation dedicated to the Works-in-Progress & Demonstration Track within the HCOMP plenary programme. Submissions are welcome from any area of computer science, artificial intelligence, and human-computer interaction, to economics and the social sciences, all the way to digital humanities, policy, and ethics. This year, we especially encourage work that generate new insights into the “human computation” side of HCOMP, such as new understandings about human cognition, human-in-the-loop intelligence systems, human-AI interaction and collaboration, algorithmic and interface techniques for augmenting human abilities to perform tasks, and other issues that affect how humans collaborate with AI systems (such as bias, fairness, and interpretability). <>Works-in-progress A Work-in-Progress is a concise report of recent findings or other types of innovative or thought-provoking work relevant to the HCOMP community. The difference between Works-in-Progress and other contribution types is that Work-in-Progress submissions represent work that has not reached a level of completion that would warrant the full Refereed selection process. That said, appropriate submissions should make some contribution to the body of HCOMP knowledge, whether realized or promised. A significant benefit of a Work-in-Progress derives from the discussion between the author and conference attendees that will be fostered by the face-to-face presentation of the work. Work-in-Progress submissions are in the form of a ~2 page extended abstract, see Submission section. <>Demonstrations A demonstration is a high-visibility, high-impact forum of the HCOMP program that allows you to present your hands-on demonstration, share novel interactive technologies, and stage interactive experiences. Demonstrations will showcase this year’s most exciting human computation and collaborative human-AI prototypes and systems. If you have an interesting prototype, system, exhibit or installation, we want to know about it. Sharing hands-on experiences of your work is often the best way to communicate what you have created. The demonstration submission should describe the nature of the system as well as the expected form of interaction with the user and the audience. If you have special infrastructure requirements for the demonstration, please include them in a dedicated paragraph within the submission. Demonstrations submissions are in the form of a ~2 page extended abstract, see Submission section. <>SUBMISSION All submitted Works-in-Progress and Demos must represent original work, not previously published or under simultaneous peer-review for any other peer-reviewed, archival conference or journal. Submissions must be done in the form of up to 2 pages Extended Abstract (references can extend beyond the 2 pages) via the HCOMP-20 EasyChair Website. Submissions to Easychair is required on or before the deadline listed above. We cannot accept submissions by e-mail or fax. Authors will receive confirmation of receipt of their submissions, including an ID number, shortly after submission. HCOMP will contact authors again only if problems are encountered with papers. Inquiries regarding paper receipt must be made no later than August 10. <>Formatting Extended Abstracts must be formatted in AAAI two-column, camera-ready style; please refer to the AAAI 2020 Author Kit for details. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5″ x 11″) paper, using Type 1 or TrueType fonts. The AAAI copyright block is not required for works-in-progress or demo submissions, as they are not included in the formal proceedings. Please see below for information about publication. <>Supplemental Materials Authors are invited, but not required, to include supplemental materials such as executables and data files so that reviewers can reproduce results in the paper, images, additional videos, related papers, more detailed explanations, derivations, or results. These materials will be viewed only at the discretion of the reviewers, who are only obligated to read your paper itself. <>NOT Anonymized Authors should include information identifying themselves and their institutions for single-blind review. <>REVIEWS Submissions to the Works-in-Progress & Demonstration Track will be curated. This means that submissions will only be evaluated by the Works-in-Progress & Demonstration chairs (in coordination with other relevant conference chairs). Authors should expect to receive only very light feedback on their submissions. <>PUBLICATION AND PROCEEDINGS Accepted papers will NOT be included in official conference proceedings, and so may be submitted later to other conferences or journals for official publication. Accepted papers will be made available online on the conference website, and a summary of the WiP and Demo session will be provided in the AAAI AI Magazine. <>PRESENTING AT THE CONFERENCE Accepted submissions will be presented at the conference in two main modalities: 1) with a 1-2 min PechaKucha presentation in a plenary session dedicated to the Works-in-Progress & Demonstration Track within the HCOMP plenary programme, and 2) with an author proposed presentation format. Authors can propose their desired presentation format(s) at the time of submission, including (but not limited to) poster, interactive demo, short video, short presentation, or small exhibition booth. The eventual format(s) will be decided in cooperation between authors and conference organizers. Authors are asked to include special requests and requirements at the time of submission by sending an email to the chairs. <>WORK-IN-PROGRESS AND DEMO AWARD HCOMP 2020 will recognize one best Works-in-Progress and one best Demonstration. Announcement of the winners will be done at the conference in a plenary session together with the other conference award. The Works-in-Progress and Demonstration chairs will assess the Works-in-Progress and Demonstrations submissions to determine the winners (considering both quality of paper submission and presentation at the conference). <>CONTACTS Please contact the Works-in-progress and Demonstration Co-Chairs if you have any questions. Anna De Liddo, at anna.deliddo(a)open.ac.uk Alessandro Checco, at a.checco(a)sheffield.ac.uk _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] CfP: 1st International Workshop on Conceptual Modeling for Digital Twins (CoMoDiTy 2020) at ER 2020
by Gustaf Neumann 30 Jun '20

30 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP: 1st International Workshop on Conceptual Modeling for Digital Twins (CoMoDiTy 2020) at ER 2020 Date: Tue, 30 Jun 2020 15:21:38 +0200 From: Andreas Wortmann <wortmann(a)se-rwth.de> To: aisworld(a)lists.aisnet.org -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 1st International Workshop on Conceptual Modeling for Digital Twins (CoMoDiTy 2020) Co-located with 39th International Conference on Conceptual Modeling (ER 2020) 3-6 November 2020 Vienna, Austria https://comodity.github.io/ -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- -=-=-=-=-=-=-=- Theme & Goals -=-=-=-=-=-=-=- The workshop on Conceptual Modeling for Digital Twins (CoMoDiTy) aims at bringing together researchers and practitioners working on modeling concepts, methods, and tools for bringing the vision of digital twins to life. As such, it aspires to be a truly interdisciplinary meeting for researchers from conceptual modeling, model-driven software and systems engineering, and production engineering. As CoMoDiTy 2020 serves to have fruitful discussions between participants from conceptual modeling, model-driven software and systems engineering, and production engineering. As such, we devote half of the day for interactive sessions and discussions. -=-=-=-=-=-=-=-=-=- TOPICS OF INTEREST -=-=-=-=-=-=-=-=-=- The topics of interested of CoMoDiTy 2020 include but are not limited to the following: Conceptual modeling techniques for digital shadows and digital twins Theories for conceptual modeling of digital twins in the context of the observed cyber-physical systems Modeling methods and tools for developing digital shadows and digital twins Evolution and Life-Cycle Management with/for digital twins Case Studies of modeling digital twins Integrating 3D modeling and conceptual modeling Challenges in modeling digital twins Interaction of digital twin models and design time and at runtime Systematic derivation of digital twins Learning digital twins from observing system behavior Operating digital twins with humans in the loop Code generation and interpretation of executable digital twins Modeling distributed and scalable data for digital twins =-=-=-=-=-=- SUBMISSIONS =-=-=-=-=-=- We invite submissions of papers of up to 5 pages (Springer LNCS) describing original and unpublished results on any of the workshop’s topics of interest, including position papers, experience papers, and challenge papers from both researchers and practitioners. Submissions must be uploaded through EasyChair in the following link https://easychair.org/my/conference?conf=comodity2020. Each submission will be reviewed by at least 3 members of the program committee. They will value the relevance and interest for discussions that will take place at the workshop. Accepted papers will be published in the joint ER 2020 workshop proceeding. =-=-=-=-=-=-=-=-= IMPORTANT DATES =-=-=-=-=-=-=-=-= Submission deadline: 27 July 2020 Author notification: 17 August 2020 Camera-ready version: 07 September 2020 Camera-ready proceedings: 11 September 2020 =-=-=-=-=-=-=-=-=-= Organizers =-=-=-=-=-=-=-=-=-= Markus Stumptner (University of South Australia, Australia) Manuel Wimmer (Johannes Kepler University Linz, Austria) Andreas Wortmann (RWTH Aachen University, Germany) -=-=-=-=-=- Contact -=-=-=-=-=- For additional information, clarification, or answers to questions, please contact the organizers by email at comodity2020(a)easychair.org -- ----------------------------------------------------------------------------------------------------------------- Dr. Andreas Wortmann | Software Engineering Ahornstr. 55, 52074 Aachen, Germany | RWTH Aachen University Phone +49 (241) 80-21346 / Fax -22218 | http://www.se-rwth.de Model-Driven Development of a Digital Twin for Injection Molding CAiSE 2020: Advanced Information Systems Engineering (2020) https://doi.org/10.1007/978-3-030-49435-3_6 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] Journal of IT Case and Application Research (JITCAR), Volume 22, Number 1 published
by Gustaf Neumann 30 Jun '20

30 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] Journal of IT Case and Application Research (JITCAR), Volume 22, Number 1 published Date: Mon, 29 Jun 2020 21:21:04 +0000 From: Shailendra Palvia <Shailendra.Palvia(a)liu.edu> To: 'AISWorld(a)lists.aisnet.org' <AISWorld(a)lists.aisnet.org> CC: Bansal, Gaurav <bansalg(a)uwgb.edu>, JAMES HOLOHAN <Jim.Holohan(a)lit.ie>, Varun Grover <VGrover(a)walton.uark.edu>, Michael Raisinghani <mraisinghani(a)twu.edu>, Vijay Vemuri <vijayvemuri(a)gmail.com>, Obwegeser, Nikolaus <nikolaus.obwegeser(a)imd.org> Dear colleagues around the world: It is my pleasure to present the first 2020 JITCAR issue. It is the penunltimate issue under my editorship that started with the founding of this journal in 1999. The contents of this issue are: 1. Editorial Preface article by Dr. Varun Grover, Mr. Le Kuai, Mr. Jia Wei, and Mr. Yaping Zhu ; 2. Research Case Article-1 co-authored by Drs. James Holohan and Mohammad Y Sarhan; 3. Research Case Article-2 co-authored by Dr. Nikolaus Obwegeser, Ms. Katrine Arenfeldt, Ms. Amalie Corty Dam, Mr. Kim Harder Fenger, and Mr. Johan Vang Silkjaer; 4. Expert Opinion report by Dr. Mahesh Raisinghani; and 5. Book Review by Dr. Vijay Vemuri. Summary information of these items is as follows. In the editorial preface article titled, "The Complexity of Establishing Causality in a Digital Environment: An Eye to the Future", the authors focus on how the changes in "embeddedness" and "agency" due to digitalization are convoluting establishment of causality in studying relationships between IT and the social enterprise. In the research case article-1 titled, "Subservient to the Upper Echelon: How Information Systems Managers Practice Strategic Alignment in the Public Higher Education Sector," the authors examined in detail two educational institutions, operating under the auspices of Ireland's Institutes of Technology (IIT), to explore how the alignment of business and information systems (IS) strategies is practiced by IS managers. They applied a methodology that integrates Strategy as Process, constructivist grounded theory coding and case research methodology. They determined that the IS manager as a functional manager is expected to reduce costs and gain operational efficiencies in other functions. He/she is generally excluded from direct role in developing IS strategy and also prevented from dealing directly with organization's principal IS services provider. In the research case article-2 titled, "Aligning drivers, contractual governance, and relationship management of IT-outsourcing initiatives," the authors address the issue of two alignments in the context of outsourcing: drivers and goals, and contractual aspects and managerial aspects. The article develops a conceptual model of IT outsourcing alignment and then analyzes a single, in-depth case of IT outsourcing in a large Nordic company. The article concludes that there is a need to achieve a fit among drivers, goals, contractual factors, and managerial factors of IT outsourcing initiatives. The Expert Opinion report documents interview by Dr. Mahesh Raisinghani with the Managing Partner at CLT E-Sports & Charlotte Phoenix, Mr. Clarence James (CJ) Collins. His passion in gaming as a player lodged him into the esports scene many years ago. More recently he started supporting the Army esports program which led him to create his own future in esports. The Charlotte Phoenix is a professional team that competes in a variety of e-sport titles including Rocket League, League of Legends, and Call of Duty. E-sports includes a variety of operations, similar to what you might find in an NBA or NFL format. Esports being relatively unknown to most Americans, CLT e-sports is designed to support events and teach the local population about this arena. He is fully occupied with these two businesses. Questions posed to Mr. James are: (a) What are E-sports and how would you define it to someone who has never heard of it?; (b) How important is information technology (IT) in your indus try, and your organization?; (c) How do you make money in esports, its just kids playing video games?; (d) Please name and briefly describe some of your strategic approaches to the e-sports space; (e) Please describe the structure and organization of an esports business; (f) Can you think of 5 different business models in esports?; (g) What have been the most important technologies (e.g., mobile, Internet-based, online gaming, imaging, satellite communications, etc.) that have facilitated the expansion of your company's products and services?; (h) Why is e-sports in schools a good thing?; (i) What advice can you offer to companies exploring getting into esports? Book review report by Dr. Vijay Vemuri provides a detailed coverage of the 2018 book titled, "THE AI ADVANTAGE: How to put the Artificial Intelligence Revolution to Work,," authored by Thomas H. Davenport <https://smile.amazon.com/Nicholas-D.-Evans/e/B001IYVE4I/ref=sr_ntt_srch_lnk…> and published in 2018 by MIT Press. This book prefers the term cognitive technologies rather than AI so that there are no unreasonable expectations. The book emphasizes that cognitive technologies are primarily about gaining insights from data, information and knowledge to transform organizations. Routledge, in line with the ongoing trends, has published this journal online for the last six years since 2014. The website to find all JITCAR issues is: http://www.tandfonline.com/utca. All authors and reviewers are encouraged to start using Routledge's online manuscript submission and reviewing system http://www.editorialmanager.com/jitcar/. I urge all our current and future authors and reviewers to familiarize themselves with this system. I hope you all know that JITCAR is included in the SCOPUS index. I hope you will enjoy reading all the items in this issue. With best regards, Sincerely Dr. Shailendra Palvia Fulbright-Nehru Senior Scholar 2016-17 Professor of MIS, College of Management Long Island University Post, Brookville, NY 11801. Lifetime Scholarly Achievement Nomination from LIU Post in 2012 and 2016 http://liu.edu/CWPost/Academics/Faculty/Faculty/P/Shailendra-Palvia?rn=Facu… Editor-in-Chief, Journal of IT Case and Application Research (JITCAR) Phone #: 732-983-7034 Thou shall not hurt anybody by action, speech or thought directly or indirectly, consciously or subconsciously and if you do, ask for forgiveness. Please consider well being ! Of not just human beings !! But all living beings !!! _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] CfP - ACIS (2020) - Track: DataAnalytics, Knowledge Management, and Strategic Decision Making
by Gustaf Neumann 29 Jun '20

29 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP - ACIS (2020) - Track: DataAnalytics, Knowledge Management, and Strategic Decision Making Date: Mon, 29 Jun 2020 09:51:33 +1200 From: Nazim Taskin <nazimtaskin(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear colleagues, Call for Papers *ACIS (2020) - Track: Data Analytics, Knowledge Management, and Strategic Decision Making* The goal of the Data Analytics, Knowledge Management and Strategic Decision-making track is to advance our knowledge of the complexity of the disruptive technologies of data analytics and their role in the advancement of KM for better strategic decision-making. Aligned with the conference theme, the emphasis of the track is on how individual and organizational knowledge can be distilled from and incorporated into data analytics for making more effective decisions and guidance to “navigate our digital future”. Therefore, we encourage submissions that offer significant theoretical and practical contributions on how organisations can utilise emerging and analytics technologies to create value and knowledge more effectively. Data by itself is worthless unless business users analyse it and transform it into practical knowledge that delivers value to their organizations. That’s where data analytics and KM come into the picture. The success of business decisions and government policies relies heavily on the quality of the data and knowledge that underlie the decisions and policies. For this reason, gathering, analysing and considering reliable data and more importantly, transforming them into usable knowledge and expertise is increasingly critical in strategic decision-making (Intezari & Gressel, 2017; Nicolas, 2004). Due to the extensive uncertainty, ambiguity, and risk associated with strategic decisions (McKenzie et al., 2011), the role of data analytics tools and technologies in KM has much to offer to help businesses and government agencies to succeed in their strategic decision-making (Li, Goh, & Jin, 2018). Nevertheless, the transformation of data into knowledge and the use of analytical tools in incorporating data and knowledge into strategic decisions is an underdeveloped field. While offering significant promises, data analytics poses new challenges for both practitioners and scholars. Therefore, it is important and timely that the fields of decision-making and KM respond to the profound changes that big data and analytics are bringing to organizations (Pauleen & Wang, 2017). We are particularly interested in the incorporation of KM systems into strategic decisions and policies, as well as the use of analytic tools and techniques in fully supporting and successfully operationalizing people’s knowledge. This track invites submissions that address the challenges and opportunities associated with data analytics and KM, and their implication/incorporation into business processes and decision-making practices at the individual and organisational levels. The papers should address the conference theme. The track accepts empirical papers, as well as conceptual papers that offer deep theoretical insights into the areas of interest. The track is open to papers employing various research methods; and accepts completed research papers, as well as research-in-progress papers. Topics of interest include but are not limited to: - Data analytics across decision-making levels: strategic, tactical, and operational - Data analytics and emerging research philosophies and methodologies - Methodologies, techniques, and analytical tools for individual and group decision-making - The integration of data analytics and KM for strategic decision-making: techniques, challenges and opportunities - Organizational barriers and enablers of the use of data analytics and KM in managerial and strategic decision-making - KM initiatives for managerial and strategic decision-making - Design, development, and use of KM technologies to support data-driven decisions and strategies - Organizational barriers and enablers of the use of data analytics for KM in managerial and strategic decision - Analytical tools and techniques, such as text analytics and sentiment analysis for analysing knowledge and disseminating expertise - Visualisation of structured and unstructured data and knowledge - Big data velocity and real-time analysis of data in decision-making at the individual and organisational levels - KM innovation, standards and challenges in managing data-driven decisions - Data Mining in explicit knowledge - Cultural challenges in organizations merging initiatives in analytics and KM - Individual, intra-, and inter-organizational data analytics and KM technologies Conference website: https://www.acis2020.org/ Deadline (please check conference website for updates): - August 10: Paper submission deadline - September 30: Notification of acceptance - December 1-4, 2020: Conference in Wellington, New Zealand Track co-chairs: Dr Ali INTEZARI, University of Queensland, a.intezari(a)uq.edu.au Professor David PAULEEN, Massey University, d.pauleen(a)massey.ac.nz Dr Tiong-thye GOH, Victoria University of Wellington, tiong.goh(a)vuw.ac.nz Dr Hamed JAFARZADEH, Massey University, h.jafarzadeh(a)massey.ac.nz References: - Intezari, A., and Gressel, S. 2017. “Information and Reformation in KM Systems: Big Data and Strategic Decision-making,” *Journal of Knowledge Management* (21:1), pp. 71–91. - Li, L., Goh, T. T., and Jin, D. 2018. “How Textual Quality of Online Reviews Affect Classification Performance: A Case of Deep Learning Sentiment Analysis,” *Neural Computing and Applications* (doi:10.1007/s00521-018-3865-7). - McKenzie, J., van Winkelen, C., and Grewal, S. 2011. “Developing Organisational Decision‐making Capability: A Knowledge Manager’s Guide, *“ Journal of Knowledge Management* (15:3), pp. 403–421. - Nicolas, R. 2004. “Knowledge Management Impacts on Decision Making Process, “ *Journal of Knowledge Management* (8:1), pp. 20–31. - Pauleen, D. J., and Wang, W. Y. C. 2017. “Does Big Data Mean Big Knowledge? KM Perspectives on Big Data and Analytics,” *Journal of Knowledge Management* (21:1), pp. 1–6. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] 5th Call for Papers: HICSS-54 (2021) minitrack: ICT-enabled Self-management of Chronic Diseases and Conditions
by Gustaf Neumann 28 Jun '20

28 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] 5th Call for Papers: HICSS-54 (2021) minitrack: ICT-enabled Self-management of Chronic Diseases and Conditions Date: Sat, 27 Jun 2020 18:16:47 -0700 From: Majid Dadgar <majid.dadgar(a)gmail.com> To: aisworld(a)lists.aisnet.org Apologies for cross-posting. After successfully holding this minitrack for 3 consecutive years and establishing a strong community of researchers and practitioners, we invite paper submissions for the following HICSS minitrack. *The new submission deadline is July 15.* Track title: Information Technology in Healthcare Minitrack title: ICT-enabled Self-management of Chronic Diseases and Conditions ***Fast Track to Journal Publication** *(at the discretion of minitrack chairs) *:*Journal of Information Technology & People *Description of the minitrack:*According to the U.S. National Center for Health Statistics, a disease is chronic when its course lasts for more than three months. Chronic diseases and conditions, persist an entire lifetime and generally cannot be prevented by vaccines or cured by medication (Adams, Kirzinger, & Martinez, 2013). This mini-track characterizes Chronic Diseases and Conditions very broadly to include, illnesses (such as diabetes, Alzheimer asthma), conditions (such as physical, sensory, mental, and cognitive disabilities, post-traumatic stress disorder, attention deficit hyperactivity disorder, autistic spectrum, Tourette syndrome, old age related conditions). Recurrent illnesses and conditions caused by chronic diseases, if not managed carefully, cannot only diminish quality of life and ability to work, but can also result in health emergencies, complications, and even death (World Health Organization, 2015). According to World Health Organization (WHO), chronic diseases are the leading cause of mortality worldwide, and 80% of chronic disease deaths occur in low- and middle-income countries. Advancing patients’ ability to engage in self-managed health through information and communication technologies (ICTs), such as mobile technologies and machine learning, is increasingly a top priority (e.g., The National Health Service, 2013, The Office of the National Coordinator for Health Information Technology, 2014). Effective self-management is a proven way of improving the lives of individuals suffering from chronic diseases (Dadgar and Joshi, 2018). Self-management refers to a care management approach in which patients actively take responsibility for treating their chronic diseases (Bodenheimer et al., 2002). It is a self-regulating, dynamic, continuous, interactive process (Schulman-Green et al., 2012). Despite technological advances in healthcare ICTs that improve care and reduce costs, patients often avoid using them (El-Gayar, Timsina, Nawar, & Eid, 2013). Although, ICTs have improved the health in healthcare services in terms of the delivery of high-quality patient care at low cost, but the development of ICTs that focus chiefly on patient-centered care is still in its infancy (Jacelon, Gibbs, & Ridgway, 2016). With that in mind, we are looking for papers taking a variety of approaches to answering research questions related to the design, development, and use of ICTs on patient-centered care. Such approaches might be described as experiments or quasi-experiments, design science, case studies, surveys, action research, psychometrics, and ethnography. We invite papers that use variety of advanced technologies such as Virtual Reality (VR), Augmented Reality (AR), Artificial Intelligence (AI), or Machine Learning (ML). We call for the papers that investigate use of ICTs for patients with chronic physical and psychological conditions, from diabetes and asthma, to obesity and fitness SM programs, to autism, dementia, bipolar disorders, and depression. Authors are invited to submit papers that address issues related to the design, development, and implementation of ICTs in self-management of chronic diseases and conditions. Potential issues and topics include, but are not limited to: - Learning about condition and health needs - Learning self-management regimen, skills, and strategies ( e.g., Monitoring and managing symptoms, side effects, and body responses, Adjusting treatment regimen to manage symptoms and side effects, Managing/taking medications, Goal setting, decision making, problem solving, planning, prioritizing and pacing in the self-management process) - Managing life style changes (e.g. modifying diet, nutrition, smoking, and physical activity, Changing behaviors to minimize disease impact, Balancing living life with health needs, Managing disruptions in school, work, family, and social activities) - Managing psychological aspects of chronic diseases and conditions (e.g. Developing confidence and self-efficacy, Reducing stress caused by the chronic disease, Identifying and benefiting from psychological resources drawing on intrinsic resources, e.g., creativity, strength and wisdom from past experiences, Maintaining positive outlook, hope, and self-worth, Dealing with shock of diagnosis, self-blame, and guilt) - Managing relationships with healthcare providers (e.g. Creating and maintaining relationships with healthcare providers) - Managing and sustaining relationships with family, friends, relatives, and peers (e.g. Creating a community of peers with similar experiences, Obtaining and managing social support from family and friends) - Cultivating courage, discipline, and motivation - Working through issues of dependence/independence - Seeking resources, such as financial assistance (e.g., prescription subsidies), environmental support (e.g., assistive devices), and community resources (e.g., transportation) - Exploring and expressing emotional responses - Making sense of the chronic disease (e.g. Finding meaning in work, relationships, activities, and spirituality) - Identifying and confronting change and loss (e.g., changes in physical function, role, identity, body image, control, and mortality) - Developing coping strategies (e.g., self-talk) - Focusing on possibilities (e.g., envisioning the future, reframing adversity into opportunity) - Designing virtual coaches - ICT designs for elder care and home care - ICT enabled preventative approaches *IMPORTANT DATES* - April 15: Paper submission begins - July 15: Paper submissions deadline - August 23: Notification of Acceptance/Rejection - September 22: Deadline for authors to submit final manuscript - October 1: Deadline for at least one author to register for HICSS-54 *Minitrack Co-Chairs:* Majid Dadgar (Primary Contact) University of San Francisco, CA, USA mdadgar(a)usfca.edu Bahae Samhan Illinois State University, IL, USA bmsamha(a)ilstu.edu K.D. Joshi University of Nevada, Reno, NV, USA kjoshi(a)unr.edu *Conference Website:* http://hicss.hawaii.edu/ *Author Guidelines:* http://hicss.hawaii.edu/tracks-and-minitracks/authors/ *References* - Adams, P., Kirzinger, W., & Martinez, M. (2013). Summary Health Statistics for the U.S. Population: National Health Interview Survey, 2012 (Vital Health Stat No. 10(259)). National Center for Health Statistics. - Bodenheimer, T., Lorig, K., Holman, H., & Grumbach, K. (2002). Patient Self-management of Chronic Disease in Primary Care. JAMA, 288(19), 2469–2475. - Dadgar, M. and Joshi, K.D. (2018) "The Role of Information and Communication Technology in Self-Management of Chronic Diseases: An Empirical Investigation through Value Sensitive Design," Journal of the Association for Information Systems (JAIS), 19(2), 86-112. - El-Gayar, O., Timsina, P., Nawar, N., & Eid, W. (2013). A systematic review of IT for diabetes selfmanagement: Are we there yet? International Journal of Medical Informatics, 82, 637–652. - Jacelon, C. S., Gibbs, M. A., & Ridgway, J. V. (2016). Computer technology for self-management: a scoping review. Journal of Clinical Nursing, 25, 1179–1192. - Schulman-Green, D., Jaser, S., Martin, F., Alonzo, A., Grey, M., McCorkle, R., … Whittemore, R. (2012). Processes of Self-Management in Chronic Illness. Journal of Nursing Scholarship, 44(2), 136–144. - The National Health Service. (2013). Everyone Counts: Planning for Patients 2014/15 to 2018/19. Retrieved from https://www.england.nhs.uk/wp-content/uploads/2013/12/5yr-strat-plann-guid-… - The Office of the National Coordinator for Health Information Technology. (2014). Federal Health IT Strategic Plan 2015-2020 - by The Office of the National Coordinator for Health Information Technology (ONC). Retrieved from https://www.healthit.gov/sites/default/files/9-5-federalhealthitstratplanfi… - World Health Organization. (2015). Noncommunicable diseases. Retrieved from http://www.who.int/mediacentre/factsheets/fs355/en/ _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] CFP- Connection Science- SI: "Smart Cities: Software Services and Cyber Infrastructure"
by Gustaf Neumann 28 Jun '20

28 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP- Connection Science- SI: "Smart Cities: Software Services and Cyber Infrastructure" Date: Sun, 28 Jun 2020 06:34:49 +0000 From: Editorial Manager <journaleditorialmanager(a)outlook.com> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Call for Original Research Papers Special Issue on "Smart Cities: Software Services and Cyber Infrastructure" Connection Science, Taylor & Francis https://www.tandfonline.com/ccos20 *Submission Deadline: 30 November 2020 Smart city is the culmination of applying cutting-edge cyber-physical concepts to city resource management scenarios such as water supply, energy distribution, transportation management and public safety to streamline them for higher operational efficiencies. This is made possible by the tremendous recent advancement in technologies such as cloud computing, computer networking, and Internet of Things. In smart city deployments, sensors and actuators that generate and consume massive volumes of data under diverse formats and ontologies will be integrated into the overall system. The data created by the participating devices need to be appropriately classified and related so that duplication and conflicts can be minimized. To handle the massive volumes of data in a timely manner and to prevent overloads in the cloud infrastructure, newer edge computing paradigms need to be developed. This special issue mainly focuses on software services and cyber infrastructure of smart cities, addressing both original algorithmic development and new applications. We are soliciting original contributions, of leading researchers and practitioners from academia as well as industry, which address a wide range of theoretical and application issues in this domain. The topics relevant to this special issue include but are not limited to: - Enabling wireless communication technologies for smart cities - High-speed networking infrastructure for smart cities - Cloud computing infrastructure for smart cities - Edge computing for smart cities - Sensing and Internet of Things infrastructure for smart cities - Energy aware or low energy systems and technologies - Low maintenance embedded systems and networks - QoS of smart city systems, applications, and services - Service innovation and design to support smart cities - Management, configuration and deployment of smart city infrastructure - Application, deployment, test-bed, and experiences in smart cities - Big data acquisition, preprocessing, data storage and management for urban informatics - Data privacy, security, and trust issues in smart cities - Smart data for social entrepreneurship and community engagement - Sharing economy in smart cities - Mobile crowdsourcing for urban analytics Submission High-quality technical papers on the above topics are also welcome. Prospective authors should read 'Instructions for Authors' of this journal before the preparation of the manuscript. Submitted papers must be original and must not be under consideration in any other venue(s). All submitted papers will be reviewed by at least three expert reviewers and selected based on their originality, significance, relevance, and clarity of presentation. All manuscripts should be submitted through ScholarOne Manuscript System, available at: https://mc.manuscriptcentral.com/ccos. Important Dates Submission Deadline: 30 November 2020 Publication: Q4 2021 (tentative) Special Issue Editor(s) B. B. Gupta, National Institute of Technology, Kurukshetra, India bbgupta(a)nitkkr.ac.in Nadia Nedjah, State University of Rio de Janeiro, Brazil nadia(a)eng.uerj.br Gregorio Martinez Perez, University of Murcia (UMU), Spain gregorio(a)um.es Deepak Gupta, LoginRadius Inc., Canada deepak(a)loginradius.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] Deadline Extended / CfP Artificial Intelligence-based Assistants (AIA) HICSS Minitrack
by Gustaf Neumann 26 Jun '20

26 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] Deadline Extended / CfP Artificial Intelligence-based Assistants (AIA) HICSS Minitrack Date: Fri, 26 Jun 2020 14:36:50 +0000 From: Rainer Schmidt <Rainer.Schmidt(a)live.com> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear colleagues, The deadline for submitting papers to HICSS has been extended to July 15th Alfred, Rainer, and I would be very honored if you would use this to submit a paper to the Artificial Intelligence-based Assistants (AIA) HICSS Minitrack Best regards Rainer Artificial Intelligence-based Assistants (AIA) Minitrack HICSS54 Internet and the Digital Economy Track https://hicss.hawaii.edu/tracks-54/internet-and-the-digital-economy/#artifi… Description Artificial Intelligence (AI) receives a high degree of attention due to recent progress in several areas such as image detection, translation, and decision support. Many companies expect to gain a competitive advantage from AI. Starting from decision support, the way in which AI supports digital processes is becoming more and more sophisticated. Assistants leverage AI in two primary ways. First, virtual personal assistants and chatbots, such as Amazon Alexa and Google Home, enable the interaction of human beings with machines by voice, replacing standard human-computer interaction via mouse, keyboard, and screen of an application. Second, AI-based assistants replace human beings interfacing two application systems. These kinds of AI-based assistants are also subsumed under the term Robotic Process Automation (RPA), handling interactions previously performed by humans to pair two application systems. AI--based assistants employ technologies such as natural language processing, predict ive analytics, machine learning, as well as voice recognition and generation. They unlock business value through automating processes, intensifying customer interaction, reducing errors, and speeding up interactions to name a few. Following the understanding that information systems are socio-technical in nature, AI-based assistants should be framed as a step toward humanizing technology and work environments. Goal The minitrack "Artificial Intelligence-based Assistants" shall promote the scientific exchange on AI-based Assistants for the Digital Economy. The minitrack shall enable researchers to present and discuss innovative approaches, methodologies, models, processes, etc. to design, implement, deploy, operate and optimize such assistants for the Digital Economy. Focus of the Artificial Intelligence-based Assistants minitrack The Artificial Intelligence-based Assistants minitrack deals with the following topics, but contributions can also be submitted on other topics. * Applications of Artificial Intelligence-based Assistants in the Digital Economy * Methods and models to design, develop, implement, deploy, manage and monitor artificial-intelligence-based assistants. * Methods, tools, and approaches to capture user behavior using techniques such as process mining to derive recommendations for actions. * New business models and processes based on Artificial Intelligence-based Assistants Organizers Rainer Schmidt Munich University of Applied Rainer.Schmidt(a)hm.edu Rainer Alt Leipzig University rainer.alt(a)uni-leipzig.de Alfred Zimmermann Reutlingen University alfred.zimmermann(a)reutlingen-university.de Author information https://hicss.hawaii.edu/authors/ Publication of papers: Presented papers will be included in the Proceedings of HICSS-54 Important Dates for Paper Submission April 20 | 6:00 pm HST: Paper submission begins. July 15 | 11:59 pm HST: Paper submission deadline August 23 | 11:59 pm HST: Notification of Acceptance/Rejection September 4 | 11:59 pm HST: Deadline for authors to submit the revised version of papers accepted with mandatory changes (A-M) September 11: Notification of Acceptance/Rejection for A-M papers September 22: Deadline for authors to submit final manuscript for publication October 1: Deadline for at least one author of each paper to register for the conference _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] Cfp: Responsible AI and Analytics for an Ethical and Inclusive Digitised Society
by Gustaf Neumann 26 Jun '20

26 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] Cfp: Responsible AI and Analytics for an Ethical and Inclusive Digitised Society Date: Fri, 26 Jun 2020 16:21:23 +0000 From: Dennehy, Denis <denis.dennehy(a)nuigalway.ie> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> The 20th IFIP Conference e-Business, e-Services, and e-Society I3E2021 Responsible AI and Analytics for an Ethical and Inclusive Digitised Society 1st – 3rd September 2021 NUI Galway, Galway, Ireland www.I3E2021.com<http://www.I3E2021.com> AI, analytics, and ICT in general, create opportunities and unintended or negative consequences for individuals and society (cf. Ransbotham et al., 2016; Majchrzak et al., 2016). These opportunities and consequences have not been evenly distributed. Despite the many personal, economic, and societal benefits offered by AI and analytics, its use raises a variety of ethical concerns. Ethics permeates the entire analytics process, from what data to use, to how to represent the extracted knowledge and exploit the insights to create economic and social value. Ethical concerns (i.e. illegitimate surveillance, invasion of privacy, unemployment, malicious use etc.) are frequently used to portray AI and analytics as ‘a danger to humanity’. These concerns warrant the attention of the academic community who are in a privileged position within society to raise awareness about the responsible design, implementation and use of AI, analytics, and ICT. At the same time, AI and analytics has opened new domains of exclusion and privilege for some, leaving some individuals and communities excluded from the digitised society. For example, digital exclusion is part of the overall challenge of exclusion, a growing phenomenon which carries with it a series of deteriorations in life paths (i.e. poor lifelong earnings and an increased risk of marginalisation). There are many who are currently excluded for reasons of low income and education, location, culture, trust and confidence levels or various disabilities (European Commission). Success in the increasingly digitised society requires a comprehensive approach to fostering an ethical and inclusive society. The 20th IFIP Conference on e-Business, e-Services, and e-Society aims to bring together contributions from a variety of perspectives, disciplines and communities for the advancement of knowledge regarding Responsible AI and Analytics for an Ethical and Inclusive Digitised Society. To this end, we invite scholars, practitioners and research students to submit and present their papers and findings to the 20th IFIP Conference on e-Business, e-Services, and e-Society to be held in September 2021 at NUI Galway, Galway, Ireland. Theoretical and empirical papers employing quantitative, qualitative, and/or critical methods are welcomed. Submission Guidelines Authors should submit original, unpublished research papers. All papers must not simultaneously be submitted to another journal or conference. All accepted papers will be published in the conference proceedings. Submissions should not be under consideration for any other conference or journal outlet. Special Issues Authors of selected papers will be invited to submit an extended and revised version of their paper for fast track review and publication with the following ABS ranked journals. * Information Systems Frontiers * International Journal of Information Management * Journal of Decision Systems * Information available on conference website. Important Dates: * Submission date: 28th February 2021 * Notification to authors: 31st March 2021 * Camera ready submission: 30th April 2021 * Early bird registration: 10th May 2021 Conference Chairs * Denis Dennehy, National University of Ireland Galway, Ireland * Anastasia Griva, National University of Ireland Galway, Ireland Conference Co-Chairs * Yogesh, K Dwivedi, Swansea University, UK * Matti Mäntymäki, University of Turku, Finland * Ilias Pappas, University of Agder & NTNU, Norway * Nancy Pouloudi, Athens University of Economics and Business, Greece Pre-Conference Doctoral Symposium (31st August) PhD candidates can submit a brief proposal (max 5 pages) to the Doctoral Symposium. No extra fees included. Details available on the conference website. Doctoral Consortium Co-chairs * Kieran Conboy, National University of Ireland Galway, Ireland * Nancy Pouloudi, Athens University of Economics and Business, Greece * Cleopatra Bardaki, Harokopio University, Athens, Greece Program Co-chairs and Co-editors of Conference Proceedings * Denis Dennehy, National University of Ireland Galway, Ireland * Anastasia Griva, National University of Ireland Galway, Ireland * Nancy Pouloudi, Athens University of Economics and Business, Greece * Yogesh K Dwivedi, Swansea University, UK * Matti Mäntymäki, University of Turku, Finland * Ilias Pappas, University of Agder & NTNU, Norway Topics of Submission Papers employing quantitative, qualitative, and/or critical methods are welcomed. Areas of interest include, amongst others, the following themes: General Conference Theme * Societal impact of AI, analytics and current or emerging technologies or technological trends, e.g. IoT, robotics, smart cities, blockchain * Dark-side of AI and analytics * Innovations in AI and analytics * AI and the future of work * Ethical issues related to AI and analytics * The role of AI and analytics in social inclusion/exclusion and educational (in)equality * Strategies (e.g. best practices, policies, and governance mechanisms) for addressing the unintended consequences of AI and analytics * Implications of collaborative analytics in a digitised society Information Systems * Sentiment analytics * Software analytics * Social media analytics * Big data analytics * ICTs for enabling smart cities * Ethics and CSR issues related to AI and analytics * Smart infrastructure management * National digital and Internet policy * Cyber security * Blockchain * Digital ecosystems * Public policy for digital transformation * Inter-organisation information systems * Application of AI and analytics to address societal challenges * Leveraging AI and analytics for social innovation and entrepreneurship * Organisational learning and innovation from AI and analytics * Human computer interaction (HCI) * Smart AI, analytics, and ICT adoption studies * Smart transportation and mobility * Smart urbanisation and living * Supply chain management * Information dissemination * Analysis of user generated content * Open data initiatives * Digital inclusion * Business Intelligence * Learning analytics * e-Learning organisational issues * Gamification * Educational systems design * Virtual learning environments Ransbotham, S., Fichman, R.G., Gopal, R. and Gupta, A., 2016. Special section introduction—ubiquitous IT and digital vulnerabilities. Information Systems Research, 27(4), pp.834-847. Majchrzak, A., Markus, M.L. and Wareham, J., 2016. Designing for digital transformation: Lessons for information systems research from the study of ICT and societal challenges. MIS Quarterly, 40(2), pp.267-277. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] ICITS'21 - 2021 Int. Conference on Information Technology & Systems, Santa Elena, Ecuador
by Gustaf Neumann 26 Jun '20

26 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] ICITS'21 - 2021 Int. Conference on Information Technology & Systems, Santa Elena, Ecuador Date: Fri, 26 Jun 2020 12:00:08 +0100 From: Maria <marialemos72(a)gmail.com> Reply-To: intercits(a)gmail.com To: AISWorld(a)lists.aisnet.org * Proceedings by Springer and indexed in Scopus, ISI, Ei-Compendex, Google Scholar, etc. -------------------------------------------------------------- ICITS'21 - The 2021 International Conference on Information Technology & Systems Peninsula de Santa Elena, Ecuador, 4 - 6 February 2021 http://www.icits.me/ <http://www.icits.me/> ------------------------------------------------------------------------------------------------------------------------- Scope ICITS'21 - The 2021 International Conference on Information Technology & Systems, to be held in Península de Santa Elena, Ecuador, 4 - 6 February 2021, is an international forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences and concerns in the several perspectives of Information Technology & Systems. We are pleased to invite you to submit your papers to ICITS'21. They can be written in English, Spanish or Portuguese. All submissions will be reviewed on the basis of relevance, originality, importance and clarity. Topics Submitted papers should be related with one or more of the main themes proposed for the Conference: A) Information and Knowledge Management (IKM); B) Organizational Models and Information Systems (OMIS); C) Software and Systems Modeling (SSM); D) Software Systems, Architectures, Applications and Tools (SSAAT); E) Multimedia Systems and Applications (MSA); F) Computer Networks, Mobility and Pervasive Systems (CNMPS); G) Intelligent and Decision Support Systems (IDSS); H) Big Data Analytics and Applications (BDAA); I) Human-Computer Interaction (HCI); J) Ethics, Computers and Security (ECS) K) Health Informatics (HIS); L) Information Technologies in Education (ITE); Submission and Decision Submitted papers written in English (until 10-page limit) must comply with the format of Advances in Intelligent Systems and Computing series (see Instructions for Authors at Springer Website <https://www.springer.com/us/authors-editors/conference-proceedings/conferen…>), must not have been published before, not be under review for any other conference or publication and not include any information leading to the authors’ identification. Therefore, the authors’ names and affiliations should not be included in the version for evaluation by the Scientific Committee. This information should only be included in the camera-ready version, saved in Word or Latex format and also in PDF format. These files must be accompanied by the Consent to Publish form <http://www.icits.me/copyright.pdf> filled out, in a ZIP file, and uploaded at the conference management system. Submitted papers written in Spanish or Portuguese (until 15-page limit) must comply with the format of RISTI <http://www.risti.xyz/> - Revista Ibérica de Sistemas e Tecnologias de Informação (download instructions/template for authors in Spanish <http://www.risti.xyz/formato-es.doc> or Portuguese <http://www.risti.xyz/formato-pt.doc>), must not have been published before, not be under review for any other conference or publication and not include any information leading to the authors’ identification. Therefore, the authors’ names and affiliations should not be included in the version for evaluation by the Scientific Committee. This information should only be included in the camera-ready version, saved in Word. These files must be uploaded at the conference management system in a ZIP file. All papers will be subjected to a “double-blind review” by at least two members of the Scientific Committee. Based on Scientific Committee evaluation, a paper can be rejected or accepted by the Conference Chairs. In the later case, it can be accepted as paper or poster. The authors of papers accepted as posters must build and print a poster to be exhibited during the Conference. This poster must follow an A1 or A2 vertical format. The Conference can includes Work Sessions where these posters are presented and orally discussed, with a 7 minute limit per poster. The authors of accepted papers will have 15 minutes to present their work in a Conference Work Session; approximately 5 minutes of discussion will follow each presentation. Publication and Indexing Papers accepted as posters are not published; they are only exhibited, presented and discussed during the conference. To ensure that a paper accepted as paper is published, at least one of the authors must be fully registered by the 6th of November 2020, and the paper must comply with the suggested layout and page-limit. Additionally, all recommended changes must be addressed by the authors before they submit the camera-ready version. No more than one paper per registration will be published. An extra fee must be paid for publication of additional papers, with a maximum of one additional paper per registration. One registration permits only the participation of one author in the conference. Papers written in English and accepted and registered will be published in Proceedings by Springer, in a book of the Advances in Intelligent Systems and Computing <http://www.springer.com/series/11156>series, will be submitted for indexation by ISI, EI-Compendex, SCOPUS and DBLP, among others, and will be available in the SpringerLink Digital Library <http://link.springer.com/>. Papers written in Spanish or Portuguese and accepted and registered will be published in a Special Issue of RISTI <http://www.risti.xyz/index.php?option=com_content&view=article&id=3&Itemid=…> and will be submitted for indexation by SCOPUS, among others. Important Dates Paper Submission: September 6, 2020 Notification of Acceptance: October 18, 2020 Payment of Registration, to ensure the inclusion of an accepted paper in the conference proceedings: November 6, 2020. Camera-ready Submission: November 6, 2020 ICITS'21 Website: http://www.icits.me/ <http://www.icits.me/> -------------- -- This email has been checked for viruses by AVG. https://www.avg.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] 3rd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications
by Gustaf Neumann 26 Jun '20

26 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] 3rd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications Date: Fri, 26 Jun 2020 08:56:59 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org CC: cmoyer(a)igi-global.com BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications EDITED BY PROF. DR. ZHAOHAO SUN TO BE PUBLISHED BY IGI Global, USA https://www.igi-global.com/publish/call-for-papers/call-details/4539 or http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=96711 or https://www.researchgate.net/project/Intelligent-Analytics-with-Applications Introduction Intelligent analytics is an emerging scientific paradigm that integrates big data/information/knowledge/wisdom, analytics and artificial intelligence (AI) to provide smart services to our work, business, life, industry and society. From a fundamental perspective, intelligent analytics at least includes intelligent big data analytics, intelligent big information analytics, intelligent big knowledge analytics, intelligent big wisdom analytics. Intelligent analytics has been revolutionizing our work, life, business, management, organization and industry. It becomes disruptive technology for healthcare, web services, service computing, cloud computing, 5G development, blockchain and social networking computing. However, many fundamental, technological and managerial issues in developing and applying intelligent analytics with multi-industry applications remain open. For example, what is the foundation of intelligent analytics? what are the elements of intelligent analytics? What are the real big characteristics of intelligent analytics? How can apply intelligent analytics to improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation and industries? What is the effect of intelligent analytics on business, management, the Internet of things, cloud computing, blockchain, service and society? This book will address these issues by exploring the cutting-edge theory, technologies and methodologies of intelligent analytics with multi-industry applications and emphasize integration of AI, business intelligence, big data/information/knowledge/wisdom, and analytics from a perspective of computing, service and management. This book also provides applications of the proposed theory, technologies and methodologies of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud and service) commerce and services, healthcare, the Internet of things, sharing economy, cloud computing, blockchain, and Industry 4.0 in the real world. This book titled “Intelligent Analytics with Multi-industry Applications” is the first book to reveal the cutting-edge theory, technologies, methodologies of intelligent analytics with applications. This is also the first book demonstrating that intelligent analytics is an important enabler for developing cloud computing, 5G, blockchains, digital transformation, business, management, governance and services in multi-industry applications. The proposed approaches will facilitate research, development and applications of intelligent analytics, big data/information/knowledge/wisdom analytics, data science, digital transformation, e-business and web service, service computing, cloud computing and social computing. Aims, Scope and Target Audience This book’s primary aim is to convey the foundations, technologies, thoughts, and methods of intelligent analytics with multi-industry applications to scientists, engineers, educators and university students, business, service and management professionals, policy makers and decision makers and others who have interest in big data, big information, big knowledge and big intelligence and wisdom, intelligent analytics, AI, cloud computing, the Internet of things (IoT), digital transformation, SMACS intelligence and computing, commerce and service as well as data science, information science, and knowledge science. Primary audiences for this book are undergraduate, postgraduate students and variety of professionals in the fields of big data, data science, information science and technology, knowledge technology and engineering, intelligence science, analytics, AI, computing, commerce, business, services, management and government. The variety of readers in the fields of government, consulting, marketing, business and trade as well as the readers from all the social strata can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies and applications of intelligent analytics with applications. Papers as book chapters of all theoretical and technological approaches, and applications of intelligent analytics are welcome. Submissions that cross multiple disciplines such as management, service, business, artificial intelligence, intelligent systems, data science, optimization, statistics, information systems, decision sciences, and industries to develop theory and provide technologies and applications that could move theory and practice forward in intelligent analytics, are especially encouraged. Topics Topics of contributions to this book include four parts: foundations, technologies, applications and emerging technologies and applications of intelligent analytics as follows. Part I. Foundations of intelligent analytics Topics: fundamental concepts, models/architectures, frameworks/schemes or foundations for developing, operating, evaluating, managing intelligent analytics. The following topics might also include, but not limited to. • Intelligent analytics as a Science and Technology (IAaaST) • Big Data science • Big Data intelligence • Intelligent Analytics for big data, information, knowledge, intelligence and wisdom • Intelligent analytics in business ecosystems • Decision science for intelligent analytics • Computing and foundations of intelligent analytics • New computational models for Big Data • Mathematical fundamentals of intelligent Big Data analytics • Fuzzy logic approach to intelligent analytics • Graph theory for intelligent analytics • ICT fundamentals for analytics • Intelligent visualization techniques for analytics • Statistical modelling for intelligent analytics • Machine learning for intelligent analytics • Optimization techniques for intelligent analytics • Data mining for intelligent analytics • Business models for intelligent analytics • Real-time algorithms for intelligent analytics • Computing thinking for intelligent analytics Part II. Technologies for intelligent analytics Topics: Technologies for developing intelligent analytics might also include the following topics, but not limited to. * Intelligent Analytics as a System (IAaaSy) * Intelligent Analytics as a Service (IAaaSe) * Intelligent Analytics as a Management (IAaaM) * Intelligent Analytics as a Business (IAaaB) * Rule-based systems, * Machine learning, * Multi-agent systems, * Neural networks systems, * Fuzzy logic, * Cased-based reasoning, * Genetic algorithms, * Data mining algorithms, * Intelligent agents, * Intelligent user interfaces * Web technologies, * Intelligent big data/information/knowledge technologies, * Intelligent service technologies, * Social networking technologies, * Intelligent decision technologies, * Intelligent management technologies and business technologies. * Machine-to-machine communication Part III. Multi-industry Applications of intelligent analytics Topics: cases for using foundations and technologies in Part I, II in multi-industry applications and various domains such as digital transformation, blockchain, 5G, SMACS computing, commerce and services, financial services, legal services, healthcare services, educational services, and military services taking into account intelligent diagnostic, descriptive, predictive and prescriptive analytics. The following topics might also include, but not limited to. * Intelligent Analytics as an application * Intelligent analytics with applications * Intelligent analytics-based innovation and entrepreneurship * Intelligent analytics in business ecosystems * Intelligent analytics with public and open data * Intelligent analytics and markets * Intelligent analytics for e-commerce * Intelligent analytics for cloud computing * Intelligent analytics for IoT * Intelligent analytics for blockchain * Intelligent analytics for 5G applications * Intelligent analytics in business decision making * Intelligent analytics in healthcare * Marketing Analytics * Intelligent analytics in banking industry * Intelligent analytics in social networking services * Intelligent analytics for Big Data, information, knowledge and intelligence * Cybersecurity and privacy issues in Intelligent analytics. * Intelligent analytics for management * Intelligent analytics for risk management * Organization analytics Part IV. Emerging technologies and applications for intelligent analytics Topics: Emerging technologies, methodologies, and applications for intelligent analytics. The following topics might also include, but not limited to * Emergent AI-based technologies * Emergent intelligent analytics technologies * Challenges for intelligent big data analytics * Challenges for intelligent big information analytics * Challenges for intelligent big knowledge analytics * Challenges for intelligent analytics research * Challenges for intelligent analytics applications * Challenges for intelligent analytics tools Submission Procedure Please submit a brief summary (abstract) consisting of title and round 150-200 words for the proposed chapter clearly identifying the main objectives of your contribution online by clicking “propose a chapter” at https://www.igi-global.com/publish/call-for-papers/call-details/4539 or to the editor at zhaohao.sun(a)gmail.com by June 30, 2020. Authors of the accepted proposals will be notified and provided with detailed guidelines. Full chapters are to be submitted by July 30, 2020. Submission Format and Evaluation This book will be developed using the eEditorial Discovery™ online submission manager. Therefore, all manuscripts of book chapter must be submitted online using https://www.igi-global.com/submission/submit-chapter/?projectid=8480e8ad-d6… Every book chapter submission should consist of 8,000-12,000 words, and be structured into sections including Abstract, Introduction, background (or related work), main sections, future research directions, conclusion, references. Every book chapter must be submitted in Microsoft® Word, and be typewritten in English in APA style based on “manage source” and “insert citation” function. Every book chapter submission is original. Only ORIGINAL articles will be accepted for publication by IGI-Global. Upon acceptance of your article, you will be required to sign a warranty that your article is original and has NOT been submitted for publication or published elsewhere. All chapter submissions undergo a double-blind peer-review using the eEditorial Discovery™ online submission manager. Conditioned chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among: accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines. Important Dates * June 30, 2020: Proposal Submission Deadline * July 05, 2020: Notification of Acceptance * July 30, 2020: Full Chapter Submission * August 25, 2020: Review Results Returned * August 26, 2020: Final Acceptance Notification * September 2, 2020: Final Chapter Submission. * September – November 2020: estimated publishing period. Editor Information Prof. Dr. Zhaohao Sun, Ph.D. Editor of Handbook of Research on Intelligent Analytics with Multi-Industry Applications Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Morobe, PNG & Federation University Australia zhaohao.sun(a)gmail.com; z.sun(a)federation.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Jump to page:

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

Cfp June 2020