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Fwd: [AISWorld] Journal of Service Research Call for Papers
by Gustaf Neumann 01 Oct '20

01 Oct '20

-------- Forwarded Message -------- Subject: [AISWorld] Journal of Service Research Call for Papers Date: Thu, 1 Oct 2020 12:10:46 -0400 From: Ming-Hui Huang <huangmh(a)ntu.edu.tw> To: aisworld(a)lists.aisnet.org CC: Ming-Hui Huang <mhhuang.ntu(a)gmail.com> Call for Papers *Journal of Service Research* Special Issue on *AI Service and Emotion* Special Issue Editors: Richard Bagozzi, Dwight F. Benton Professor of Behavioral Science in Management, University of Michigan (bagozzi(a)umich.edu) Michael K. Brady, Bob Sasser Professor of Marketing, *Florida State University* (mbrady(a)cob.fsu.edu) Ming-Hui Huang, Distinguished Professor, Department of Information Management, *National Taiwan University* (huangmh(a)ntu.edu.tw) *Submission Deadline: *Full papers due *April 15, 2021* *JSR*, the leading service journal, with a 5-year impact factor of 9.211, announces a special issue on *AI Service and Emotion*. This special issue, likes *JSR*, is broad and interdisciplinary, and is relevant and timely to important managerial and societal service issues. As AI (artificial intelligence) continues to advance, it plays an ever-increasing role in service. However, people tend to mistake that AI is just about rational thinking; however, recent research reveals that AI in service has important implications for emotions as well. At the micro-task level, frontline interactions are interaction- and emotion-intensive, requiring HI (human intelligence) to be capable of emotional intelligence, and when AI is used to perform frontline interactions, it either has to have such emotional intelligence or it should compliment HI for such interactions. We have witnessed such a replacement effect during the COVID-19 pandemic, when social distancing is required and AI is used to automate ordering and delivery to avoid human contact (see the *JSR* call for Frontline-in-Change special issue). At the macroeconomic level, AI, as thinking machines, has pushed the economy from manufacturing, to thinking service, to feeling service. The feeling service economy is characterized by AI doing the thinking tasks and HI doing the feeling tasks. This has important implications for how the economy should prepare HI for this disruptive change, for example, human workers will need to re-skill to be more feeling and empathetic. The special issue welcomes submissions from all disciplines with a service interest, such as service management, marketing, strategic management, information systems, economics, engineering, human resources, operations research, computer science, consumer research, psychology, and sociology. The analysis level can be micro, meso, or macro, and the methodology can be conceptual, empirical, or computational. Potential topics include, but are not limited to: · The Feeling Economy, e.g., the nature, characteristics, composition, timing, transformation mechanism, and consequences of the economy (more equal and inclusive, or less). · Managing AI, e.g., how firms can transform to become more feeling-oriented, how to apply and manage various AI intelligences for efficiency (productivity) and effectiveness. · The roles and benefits of AI for emotions in service, e.g., engaging customers in their service journeys, meeting their emotional needs. · The dark sides of using AI for emotions in service, e.g., increasing loneliness, distancing service interaction and relationships, disengaging customers, and customer rage. · The collaboration, augmentation, or replacement of AI for HI in service, e.g., what types and levels of HI skills are required (e.g., empathy, authenticity, sincerity), how AI and HI work as a team. · Data, machine learning, AI and service emotions, e.g., AI for capturing and sensing emotional data, for analyzing, simulating and synthesizing service emotions, and for reacting to emotions in service interactions · Driving technologies and technological requirements for the Feeling Economy and for service emotions, e.g., what AI can be considered as emotion-aware AI, what is required to develop feeling AI, and what are the technological bottlenecks for emotional AI. *Process and Timeline* Papers will undergo no more than two stages of full peer review. After the second round of review, a final decision will be made, to ensure the timeliness of publication. The special issue operates in a tight timeline, and authors should expect quick turnaround for reviews and revisions. The special issue is planned to be published in May 2022 and accepted papers will be published online first. -- Ming-Hui Huang, PhD Editor-in-Chief Elect, *Journal of Service Research* Distinguished Professor, Department of Information Management, National Taiwan University Fellow, European Marketing Academy (EMAC) International Research Fellow, Centre for Corporate Reputation, University of Oxford, UK Distinguished Research Fellow, Center for Excellence in Service, University of Maryland, US SERVSIG Officer for Asia, American Marketing Association (AMA) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CfP: AAAI Spring Symposium Combining Machine Learning and Knowledge Engineering
by Gustaf Neumann 01 Oct '20

01 Oct '20

-------- Forwarded Message -------- Subject: [WI] CfP: AAAI Spring Symposium Combining Machine Learning and Knowledge Engineering Date: Thu, 01 Oct 2020 13:57:06 +0200 From: Knut Hinkelmann <knut.hinkelmann(a)fhnw.ch> Reply-To: Knut Hinkelmann <knut.hinkelmann(a)fhnw.ch> To: wi(a)lists.kit.edu AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021) March 22-24, 2021 @ Stanford University, Palo Alto, California, USA https://www.aaai-make.info | Submission: November 1, 2020 AAAI-MAKE 2021 brings together practitioners and researchers from various companies, research centers, and academia of machine learning and knowledge engineering working together on joint AI that is being explainable and grounded in domain knowledge. Topics • Enterprise AI • Machine Learning • Knowledge Engineering and Management • Knowledge Representation and Reasoning • Hybrid AI • Explainable AI • Conversational AI • Deep Learning and Neural Networks • Rule-based Systems • Recommender Systems • Scene Interpretation Systems • Ontologies and Semantic Web • Data Science Use cases, application scenarios, and requirements from the industry would be highly beneficial and most welcome. Since AAAI-MAKE is a dedicated symposium on the combination of machine learning and knowledge engineering, the contributions shall address both AI domains. For more details, see the following webpage: https://www.aaai-make.info. Submission We solicit position/full papers (5 to 12 pages) and short papers (2 to 4 pages) that can include recent or ongoing research, business cases, application scenarios, and surveys. Furthermore, proposals for industrial side-tutorial events, demonstrations, and (panel) discussions are very welcome too. Please submit through EasyChair (https://easychair.org/conferences/?conf=sss21). All submissions must reflect the formatting instructions (https://www.aaai-make.info/authors) and will be reviewed by the program committee. Accepted and camera-ready papers shall be published on the established open-access proceedings site CEUR-WS. Important Dates • Submission due: 1st of November 2020 • Notification of authors: 9th of December 2020 • Registration: 12th of February 2021 • Camera-ready: 19th of February 2021 • Symposium: 22-24 of March 2021 Organizing Committee • Hans-Georg Fill, University of Fribourg, Switzerland. • Aurona Gerber, University of Pretoria, South Africa. • Knut Hinkelmann (co-chair), FHNW University of Applied Sciences and Arts Northwestern Switzerland. • Doug Lenat, Cycorp, Inc., Austin, TX, USA. • Andreas Martin (co-chair), FHNW University of Applied Sciences and Arts Northwestern Switzerland. • Reinhard Stolle, Argo AI GmbH, München, Germany. • Frank van Harmelen, VU University, Amsterdam, Netherlands. AAAI-MAKE 2021 is part of the Spring Symposium Series of the Association for the Advancement of Artificial Intelligence (AAAI). For any inquiries, please contact mail(a)aaai-make.info. -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [AISWorld] SIGPhil's Philosophical dialogues: the story behind the work with Allen S Lee
by Gustaf Neumann 01 Oct '20

01 Oct '20

-------- Forwarded Message -------- Subject: [AISWorld] SIGPhil's Philosophical dialogues: the story behind the work with Allen S Lee Date: Wed, 30 Sep 2020 22:08:24 +0200 From: SANTA, Mijalche <mijalche(a)santa.mk> To: aisworld(a)lists.aisnet.org "SIGPhil's Philosophical dialogues: the story behind the work" is an AIS SIGPhil's activity to promote the philosophical discourse in IS field. The purpose of the SIGPhil's podcasts "Philosophical dialogues: the story behind the work" is to go behind the published work and seek answers to why philosophy, how philosophy, when philosophy and with whom. Together with the quests talking about their experience we will explore the history, the ideas, the reasoning, the process, the challenges and the funny things that happened and made contribution to what they did and published. We will also discuss what did not got published and the future of their philosophical work. All that in 45 to 60 minutes. If you want to engage or just explore the philosophy of science in information systems you should listen these podcasts. The first "SIGPhil's Philosophical dialogues: the story behind the work" podcast is with prof. Allen S Lee. Allen S. Lee is Professor Emeritus of Information Systems at Virginia Commonwealth University. He was a full professor at VCU from 1998 to 2017. He served as associate dean at both VCU and McGill University, as editor-in-chief of MIS Quarterly, and as a founding senior editor of MIS Quarterly Executive. He also served as Paul Paré Professor of Information Systems at McGill University, associate professor at the University of Cincinnati, and associate and assistant professor at Northeastern University. His research program over more than three decades has involved identifying basic lessons from the philosophy and history of science and extending them, in the information systems discipline, to show not only how qualitative research can be done rigorously, but also how quantitative research equally needs to live up to the requirements of science. He has taught doctoral seminars on systems theory, social theory, and qualitative research methods, as well as undergraduate database courses. He is a Fellow of the Association for Information Systems, a member of the Circle of Compadres of the Information Systems Doctoral Students Association (ISDSA) of the KPMG Ph.D. Project, and a founder of Chinese American Professors of Information Systems. In 2015, he received the LEO Award for “lifetime exceptional achievement in information systems” from the Association for Information Systems. We talk about his experience and work on philosophy in IS, how he started, how he progressed and his contribution to IS discourse. You can listen the podcast on the following link https://anchor.fm/mijalche-santa/episodes/Allen-S-Lee---SIGPhils-Philosophi… Stay tuned Mijalche Santa on behalf of AIS SIGPhil team . . . . . . . . . . . . . . . . . . . . . . . . gOaL: mAkiNg ToDay W O R T H Mijalche Santa, Ph.D. (he/him/his) Vice-Dean for Science and International Cooperation and Associate Professor Faculty of Economics - Skopje Ss. Cyril and Methodius University mijalche.santa(a)eccf.ukim.edu.mk mijalche(a)santa.mk 00389 2 3286 857 . . . . . . . . . . . . . . . . . . . . . . . . _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] SIGPhil's Philosophical dialogues: the story behind the work with Bo Dahlbom
by Gustaf Neumann 01 Oct '20

01 Oct '20

-------- Forwarded Message -------- Subject: [AISWorld] SIGPhil's Philosophical dialogues: the story behind the work with Bo Dahlbom Date: Wed, 30 Sep 2020 22:10:03 +0200 From: SANTA, Mijalche <mijalche(a)santa.mk> To: aisworld(a)lists.aisnet.org "SIGPhil's Philosophical dialogues: the story behind the work" is an AIS SIGPhil's activity to promote the philosophical discourse in IS field. The purpose of the SIGPhil's podcasts "Philosophical dialogues: the story behind the work" is to go behind the published work and seek answers to why philosophy, how philosophy, when philosophy and with whom. Together with the quests talking about their experience we will explore the history, the ideas, the reasoning, the process, the challenges and the funny things that happened and made contribution to what they did and published. We will also discuss what did not got published and the future of their philosophical work. All that in 45 to 60 minutes. If you want to engage or just explore the philosophy of science in information systems you should listen these podcasts. In the third "SIGPhil's Philosophical dialogues: the story behind the work" I talk with Bo Dahlbom. Bo Dahlbom is a professor of information systems at the University of Gothenburg and research director at Sustainable Innovation. He is a Fellow of the Royal Swedish Academy of Engineering Sciences. Prof. Bo Dahlbom has contributed to the development of the discipline information systems in Scandinavia, to the Nordic cooperation as the initiator of the IRIS Association, as editor of the Scandinavian journal, as conference organizer, and as the initiator of large Nordic collaborative research projects. He became associate professor in theoretical philosophy in 1983, full professor of information systems in 1994. It is this unique experience of Bo Dahlbom that provides a unique insight in our discussion while we discuss the past, present and the future of philosophy and information systems, the relation of empirical research and philosophical awareness and much more. Without a future do I bring you prof. Bo Dahlbom You can listen the podcast on the following link https://anchor.fm/mijalche-santa/episodes/Bo-Dahlbom---SIGPhils-Philosophic… Stay tuned Mijalche Santa on behalf of AIS SIGPhil team . . . . . . . . . . . . . . . . . . . . . . . . gOaL: mAkiNg ToDay W O R T H Mijalche Santa, Ph.D. (he/him/his) Vice-Dean for Science and International Cooperation and Associate Professor Faculty of Economics - Skopje Ss. Cyril and Methodius University mijalche.santa(a)eccf.ukim.edu.mk mijalche(a)santa.mk 00389 2 3286 857 . . . . . . . . . . . . . . . . . . . . . . . . _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [computational.science] CFP - Special Session on High Performance Computing in Modelling and Simulation (HPCMS)
by Gustaf Neumann 01 Oct '20

01 Oct '20

-------- Forwarded Message -------- Subject: [computational.science] CFP - Special Session on High Performance Computing in Modelling and Simulation (HPCMS) Date: Wed, 30 Sep 2020 18:14:00 +0200 From: William Spataro <william.spataro(a)unical.it> To: computational.science(a)lists.iccsa.org (sorry for cross postings) ************************************************************************** CALL FOR PAPERS: Special Session on High Performance Computing in Modelling and Simulation (HPCMS) Within PDP 2021 (www.pdp2021.org/) The 29th Euromicro International Conference on Parallel, and Network-Based Computing Valladolid (Spain) (online) 10-12 March 2021 https://www.pdp2021.org/specialsessions/hpcms/hpcms.html New Extended Deadline: October 21th, 2020 Contact: William Spataro - spataro(a)unical.it ************************************************************************* AIMS AND SCOPE The development of models through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex phenomena. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable. Following the success of our past HPCMS workshops at PDP (since 2014), we are glad to invite you to our seventh edition which will take place in Valladolid (Spain). An important mission of the HPCMS Workshop is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science, and thus in the High Performance Computing for Modelling and Simulation field. HPCMS intent is to offer an opportunity to express and confront views on trends, challenges, and state-of-the art in diverse application fields, such as engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc. Topics of interest include, but are not limited to, the following: - High-performance computing in computational science: intra-disciplinary and multi-disciplinary research applications - Complex systems modelling and simulation - Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations - Integrated approach to optimization and simulation - MPI, OpenMP, GPGPU applications in Computational Science - Optimization algorithms, modelling techniques related to optimization in Computational Science - High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems - Hardware approaches of high performance computing in modeling and simulation IMPORTANT DATES (Extended) Paper submission: 21 October 2020 Acceptance notification: 23 December 2020 Camera ready due: 17 January 2021 Conference: 10 - 12 March 2021 Submission guidelines Prospective authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt). Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as "omitted for blind review" entries. For submission, please use the following link and select the HPCMS session: http://www.easychair.org/conferences/?conf=pdp2021 and select the "High Performance Computing in Modelling and Simulation" track. Manuscript submission Publication All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted for inclusion in Xplore and the CSDL, and for indexing, among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issue As for previous editions, organizers of the HPCMS session are planning a Special Issue of an important international ISI Journal, based on distinguished papers that will be accepted for the session. Organizers William Spataro - University of Calabria, Italy Georgios Sirakoulis - Democritus University of Thrace, Greece Giuseppe A. Trunfio - University of Sassari, Italy Rocco Rongo, University of Calabria, Italy Andrea Giordano, ICAR-CNR, Italy Program Committee Angelos Amanatiadis, Democritus University of Thrace, Greece Donato D'Ambrosio, University of Calabria, Italy Pawel Topa, AGH University of Science and Technology, Poland Gianluigi Folino, ICAR-CNR, Italy Lou D'Alotto, York College/CUNY, New York, USA Antonios Gasteratos, Democritus University of Thrace, Greece Ioakeim Georgoudas, Democritus University of Thrace, Greece Marco Beccutti, University of Torino, Italy Rolf Hoffmann, Darmstadt University, Germany Ioannis Karafyllidis, Democritus University of Thrace, Greece Yaroslav Sergeyev, University of Calabria, Italy Antisthenis Tsompanas, University of the West of England, UK Rocco Rongo, University of Calabria, Italy Georgios Sirakoulis, Democritus University of Thrace, Greece William Spataro, University of Calabria, Italy Giuseppe A. Trunfio, University of Sassari, Italy Marco Villani, University of Modena and Reggio Emilia, Italy Jaroslaw Was, AGH University of Science and Technology, Poland Davide Spataro, ASML, The Netherlands Massimo Cafaro, University of Salento, Italy Andrea Giordano, ICAR-CNR, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Gihan R. Mudalige, University of Warwick, UK Alessio De Rango, University of Calabria, Italy -- °-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° William Spataro Department of Mathematics & Computer Science High Performance Computing Center University of Calabria I-87036 Arcavacata di Rende (CS) Italy Phone(s) : +39.0984.496464 Fax : +39.0984.493570 Web: www.mat.unical.it/spataro Email: spataro(a)unical.it -°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° -- ------------------------------------------------------------------------------------------------------------------ Il banner è generato automaticamente dal servizio di posta elettronica dell'Università della Calabria <https://www.unical.it/portale/portaltemplates/view/view.cfm?100061>

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Fwd: [AISWorld] Elsevier Book Chapter
by Gustaf Neumann 30 Sep '20

30 Sep '20

-------- Forwarded Message -------- Subject: [AISWorld] Elsevier Book Chapter Date: Tue, 29 Sep 2020 21:32:26 +0530 From: SARIKA JAIN <jasarika(a)nitkkr.ac.in> Dear Colleague, This is a call for book chapter proposals for the book *"Leveraging Artificial Intelligence in Global Epidemics*" to be published by *Elsevier.* Deadline for submitting the Extended Summary: Sep 30, 2020 The individual chapters should provide a comprehensive overview of the chosen topic covering advances in the area and should be tutorial in nature and presentation, to appeal to a broad range of readers who may NOT be researchers on the topic. Hence, they shouldn't be like a research paper. You are hereby invited to submit first, a 2-3 page extended summary including (a) an abstract, (b) an outline / TOC / list of headings and sub-headings along with a summary of each heading, (c) short biographies of the authors, and (d) a statement why you are experts for the proposed chapter. Following a review of your summary, we'll offer our feedback and suggestions for improvement and better synergy with the rest of the chapters and cohesive coverage. *Chapter Submission Link*: https://easychair.org/conferences/?conf=aige2021 *Structure of the Book:* The book is planned to have 11-12 chapters divided into two sections. Part I consists of 3 chapters providing a holistic overview of global epidemics, a motivation for the book and challenges. Part II consists of emerging technologies that help fight against epidemics. Part II has 6 chapters as listed below. This makes 9 chapters. The rest 2-3 chapters are to be added dynamically based on the availability of authors (These chapters may be on The Use of Social Media for Tracking Public Behavior, Does AI help in Genome Sequencing, AI-assisted Testing, Computational Drug Repurposing, or any other trending and suitable topic in line with the title and the theme of the book). *Part I: Controlling Epidemics: A Perspective* This part provides an overview and study of Global Epidemic situations. It starts with assessing the countries' readiness for coping with epidemics, goes through the challenges in battling with epidemic, and then closes with a survey of existing approaches, techniques and tools available or developed by academicians or industry professionals for controlling the epidemics. 1 Setting the Scene (A Chapter by the Editors) This chapter provides an overview and summary of the complete book as a whole. It acts as glue between the chapters written by different authors and brings in synergy to all the chapters in both the parts of the book. In effect, it sets the scene for the reader and acts as an introductory and a must read before proceeding for the further chapters. 2 An Overview of Global Epidemics and the Challenges Faced (a) Assessing Countries' Readiness for Coping with Epidemics: There is a need of retrospective evaluation of each country's readiness for coping with epidemics. An automated data collection followed by evaluation will help in knowing if the human kind is well-equipped to deal with it. (b) A Study related to Ebola, Corona viruses, Zika, influenza, Dengue, Chikungunya, Malaria like infectious diseases will be presented in this chapter. A discussion on the most fatal pandemics recorded in the history (like the Plague, Spanish Flu, HIV/AIDS, COVID-19) and their economic consequences. What is common in these? All these have jumped to humans after being originated in animals somehow. (c) Challenges in Battling with Epidemics (d) ... 3 A Survey of Existing Approaches and Tools to fight against epidemic and the lessons learnt (a) Survey of tools/techniques/methodologies/software already available at the time of writing of this book to predict/detect/recommend actions during an epidemic situation. (b) Lessons learnt by every epidemic that has struck this world (including COVID-19) *Part II: Emerging Technologies Fight Against Epidemics* Having gone through the background of controlling global epidemic situation, this part of the book covers the emerging techniques to fight against epidemic. At the time of writing this book, COVID-19 pandemic was caused by coronavirus and was widespread with deadly results. The case study of COVID-19 has been presented to better exploit the study presented in each chapter. 4 AI Technologies specialized to the need in the fight against epidemic All current technologies under the umbrella of AI or surrounding AI should be covered like Data Science, Big Data, Machine Learning, Semantic Technologies, Data Analytics, cyber security. 5 Does AI help in Forecasting? This chapter will speak about WHO statistics on pathogens. AI can help predicting everything about spillovers, hence allowing the governments to plan ahead. AI can predict what, when, why, and where of the epidemic. We define AI and discuss the various machine learning models to predict the same. Case Study of Covid-19 for Predictions will be presented. 6 AI and Detection / Improved Diagnosis In case of outbreak of a disease; after detection, we need to publicize the threat. AI makes possible quick detection in order to enable possible vaccination and treatment; and alerts for the public. Diagnosis and Monitoring of cases is of paramount importance. Case Study of Covid-19 for Early Detection will be presented. 7 Generating Recommendations A global, AI-enabled data system can provide advices and issue warnings in real time. Help manage socio-economic impacts. 8 Role of AI in Contact Tracing The architecture of so called "Corona apps" and their backends is described in this chapter. The role of AI is clarified for these approaches and also other aspects like privacy and security. Furthermore, other approaches to contact tracing are introduced in this chapter. 9 Situation Awareness In any disaster, it is essential that the citizens get the correct information and organizations get the correct data. This chapter describes AI approaches to detect fake news or scams. 10-12 Open Topics dynamically picked by the authors Any other trending and suitable topic in line with the title and the theme of the book can be incorporated. Editors: - Le Gruenwald, The University of Oklahoma, USA, ggruenwald(a)ou.edu - Sarika Jain, National Institute of Technology, Kurukshetra, Haryana, India, jasarika(a)nitkkr.ac.in. - Sven Groppe, University of Lübeck, Germany, groppe(a)ifis.uni-luebeck.de *Deadlines:* Extended Summary: Sep 30, 2020 Notification of Proposal Approval: Oct 20, 2020 Full Chapter Submission: Jan 10, 2020 Best Regards Dr. Sarika Jain Assistant Professor at the Department of Computer Applications National Institute of Technology Kurukshetra, India https://sites.google.com/view/nitkkrsarikajain/ ######################################## Consider contributing to the International Semantic Intelligence Conference ISIC2021 <https://www.ifis.uni-luebeck.de/~groppe/isic/> Delhi India Feb 25-27, 2021 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers: OSS2021 - The 17th International Conference on Open Source Systems
by Gustaf Neumann 30 Sep '20

30 Sep '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers: OSS2021 - The 17th International Conference on Open Source Systems Date: Wed, 30 Sep 2020 06:47:14 +0000 From: Valentina Lenarduzzi <Valentina.Lenarduzzi(a)lut.fi> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> ************************************************** The 17th International Conference on Open Source Systems (OSS 2021) https://www.oss2021.org 12-13 May 2021 Lahti, Finland ************************************************** Free/Libre Open Source Software (FLOSS) has emerged as one of the most important phenomena in computer science, engineering, and collaboration at large. It has had a major impact on the information technology industry, has changed software development practices world-wide, and has been instrumental for education and research in academia, providing free access to essential tools and pioneering research on large-scale peer production. FLOSS has changed the way people perceive the software business and helped in keeping markets away from monopolies and lock-in risks. As such, a deep understanding of FLOSS requires an understanding of a wide spectrum of issues. The 17th edition of the International Conference on Open Source Systems (OSS 2021), true to the conference traditions, will be a holistic forum on the advances in the theory and practice of FLOSS, for people from very diverse backgrounds. All traditional OSS topics will be covered and welcome (see full list below). In addition, OSS 2021 will have a special focus on large-scale open source, covering topics such as, but not limited to: The use of FLOSS in large organizations, including private for-profit corporations, major non-profit organizations, large public administrations, etc. The migration to FLOSS from proprietary systems in said large organizations. - The development and maintenance of very large FLOSS systems, such as individual software products made of multi-million lines of code or entire software ecosystems encompassing tens of thousand components. - The study and analysis of very large FLOSS systems, as defined above, focusing on traits such as evolution, quality, and health, of both the systems themselves and the associated communities. - Wide-area collaboration and peer production using FLOSS and/or aimed at developing them. Due to the ongoing COVID-19 pandemic, experience reports about how FLOSS systems have enabled remote work, remote conferences, or remote collaboration will be particularly welcome. OSS 2021 will bring together people from industry and academia to share experiences and ideas as well as to provide an archival source for scholarly papers on FLOSS topics. The conference will also inform and educate practitioners, identify directions for further research, and offer a platform for ongoing technology transfer. The conference will accept three kinds of submissions: - Research papers (max 10 pages): Submissions describing original research in the area of FLOSS systems. Research papers that discuss actionable insights resulting from the presented results will be particularly welcome. - Tool papers (max 5 pages): Submission describing the novel release or original development of software applications, libraries, frameworks, or other FLOSS tools that have a significant user base or have been used to achieve significant practical results. Tool papers are expected to include a validation section showing the usefulness of the presented tools. - Experience reports (max 5 pages): Submissions reflecting on the experience of adopting FLOSS processes, techniques, tools, business models, best practices, etc. in an industry, community, or public sector context. Note that, to allow for more complete and fully formatted reference lists, bibliographic references do not count towards the page limit. Topics of Interest: ------------------------ Conference topics include, but are not limited to: - Business models for FLOSS - Cost and quality models for FLOSS - Diversity in FLOSS communities - Documentation of FLOSS - Empirical analysis of FLOSS development artifacts - FLOSS and agile methodologies - FLOSS in DevOps workflows - FLOSS and E-government - FLOSS case studies and experiments - FLOSS education and training - FLOSS in large organizations and public administrations - FLOSS in the wider Open* ecosystem: Open Culture, Open Data, Open Hardware - FLOSS licensing - FLOSS projects and communities - Foundations and rationale of FLOSS - Human factors in FLOSS - Impact of FLOSS on collaboration and peer production - Knowledge management in FLOSS - Legal issues and policies in FLOSS - Migrations from proprietary to FLOSS systems - Remote collaboration on FLOSS projects and using FLOSS tools - Software health in FLOSS systems and communities - Tools and methodologies for FLOSS development and management Submission Details: -------------------------- All submissions must present original work, unpublished, and not under submission elsewhere. The authors must clearly explain the contribution of the work in terms of its theoretical and/or practical value and situate it in relationship to previous work. Submissions must be in English and conform to https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. Papers should submit as PDF files at: https://easychair.org/my/conference?conf=oss2021#<https://easychair.org/my/conference?conf=oss2021> All accepted submissions will be included in the conference proceedings, published by Springer. The Open Access status of the official proceedings is still being determined. In any case, open access preprints of all accepted submissions will be collected and referenced from the conference website. OSS 2021 Best Papers - Special Issue: ------------------------------------------------- A selection of conference distinguished papers will be announced at the conference and invited to submit extended paper versions to the upcoming special issue on large-scale open source software of the journal Science of Computer Programming, published by Elsevier. Important Dates: ----------------------- - Abstract submission: January 3rd, 2021 - Paper submission: January 10th, 2021 - Authors notification: February 07th, 2021 - Camera ready: February 21th, 2021 - Conference: May 12th-13th, 2021 Organizers: ---------------- - Davide Taibi, Tampere University, Finland (General Chair) - Valentina Lenarduzzi, LUT University, Finland (Program Co-Chairs) - Stefano Zacchiroli, Université de Paris and Inria, France (Program Co-Chairs) - Fabio Palomba, University of Salerno, Italy (Special Issue Chair) - Terhi Kilamo, Tampere University, Finland (Proceedings Chair) - Gemma Catolino, TU Delft, Netherlands (Social Media and Publicity Chair) - Sonja Hyrynsalmi, LUT University, Finland (Local Co-chairs) - Sami Hyrynsalmi, LUT University, Finland (Local Co-chairs) - Antti Knutas, LUT University, Finland (Streaming Chair) - Jose Camposano, LUT University, Finland (Website Chair) Valentina Lenarduzzi, PhD Researcher LUT University - School of Engineering Science Mukkulankatu, 19 - Lahti (Finland) valentina.lenarduzzi(a)lut.fi<mailto:valentina.lenarduzzi@lut.fi> 0058 050 5668791 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: Call for Papers ML 2021 (1st call): submissions until 26 October 2020
by Gustaf Neumann 30 Sep '20

30 Sep '20

-------- Forwarded Message -------- Subject: Call for Papers ML 2021 (1st call): submissions until 26 October 2020 Date: Wed, 30 Sep 2020 11:06:44 -0500 From: secretariat(a)mlearning-conf.org To: secretariat(a)mlearning-conf.org Dear Sir/Madam, Since you submitted a paper to a previous edition of the International Conference on Mobile Learning, we are inviting you to join us and submit a paper to the 2021 edition that will be held virtually, from 3 – 5 March 2021. * Important Dates (first call): - Submission Deadline: 26 October 2020 - Notification to Authors: 23 November 2020 - Final Camera-Ready Submission and Early Registration: Until 21 December 2020 - Late Registration: After 21 December 2020 For more information and to check the detailed Call for Papers, please access http://mlearning-conf.org/. Best Regards, Alexandra Correia IADIS Secretariat ----------------------------------- URL: http://www.mlearning-conf.org/ Visit our page and join us on Facebook: http://www.facebook.com/IADIS and on Twitter http://twitter.com/IADIS

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Fwd: [AISWorld] JDS SI CFP - Decision-Making Frameworks and Methods for Crisis Management in a Global Pandemic
by Gustaf Neumann 29 Sep '20

29 Sep '20

-------- Forwarded Message -------- Subject: [AISWorld] JDS SI CFP - Decision-Making Frameworks and Methods for Crisis Management in a Global Pandemic Date: Tue, 29 Sep 2020 19:15:31 +0000 From: Jose Manuel Mora Tavarez <jose.mora(a)edu.uaa.mx> To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org> CC: Gloria Wren <gwren(a)loyola.edu>, Fen Wang <Fen.Wang(a)cwu.edu>, jorge.marx.gomez(a)uni-oldenburg.de <jorge.marx.gomez(a)uni-oldenburg.de> Journal of Decision Systems Special Issue on Decision-Making Frameworks and Methods for Crisis Management in a Global Pandemic Submission due date: October 31, 2020 OBJECTIVE OF THE SPECIAL ISSUE The objective of this special issue is to advance decision support methods and decision-making processes to efficiently, effectively, and ethically manage critical decisions on core human dimensions (health, economic, educational, social, and recreational) impacted by global pandemics such as COVID-19. High-quality conceptual and empirical research papers are invited from the international interdisciplinary scientific community interested in helping to devise potential solutions from a decision-making perspective. FULL CFP AT https://www.journalconferencejob.com/decision-making-frameworks-pandemic ------------------------------------------------------------ Prof. Dr. José Manuel Mora Tavarez Depto. de Sistemas de Información Centro de Ciencias Básicas Universidad Autónoma de Aguascalientes Ave. Universidad 940 Aguascalientes, AGS. México 20131 Email: jose.mora(a)edu.uaa.mx ResearchGate Weblink Scholar Google Weblink Linkedin Weblink SCOPUS Weblink ------------------------------------------------------------ _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: IJBDI latest issue published (Vol. 7, No. 3, 2020) and Call-For-Papers of 2021 Thematic Issues
by Gustaf Neumann 29 Sep '20

29 Sep '20

-------- Forwarded Message -------- Subject: IJBDI latest issue published (Vol. 7, No. 3, 2020) and Call-For-Papers of 2021 Thematic Issues Date: Tue, 29 Sep 2020 18:27:22 +0800 From: CSPlus <csplus(a)asia.edu.tw> Reply-To: CSPlus <csplus(a)asia.edu.tw> To: neumann(a)wu-wien.ac.at *************************************************************************************************************************************************************************************************** Apologies if you got multiple copies of this email. If you'd like to opt out of these announcements, information on how to unsubscribe is available at the bottom of this email. *************************************************************************************************************************************************************************************************** Dear Distinguished Colleagues, The International Journal of Big Data Intelligence (IJBDI) delighted to announce the publication of the latest issue. We hope these papers will be appealing to research, academia, and industry experts and inspire them for further advancements in the several existing and upcoming areas of data science. =========================== IJBDI Vol. 7 No. 3 (2020) =========================== https://www.inderscience.com/info/inarticletoc.php?jcode=ijbdi&year=2020&vo… Article #1 Title: Transaction sampling algorithms for real-time crypto block dependability Authors: Abhilash Kancharla; Hyeyoung Kim; Nohpill Park Int. J. of Big Data Intelligence, Vol. 7, No. 3, 2020, pp.127 - 136 Abstract: This paper presents various transaction sampling algorithms for the proposed real-time crypto computing, and analytical model to assure their dependability under stringent real-time requirement. Efficacy of the algorithms is assessed in terms of the block dependability that expresses the probability for the pending transactions to be posted within the current or the target block delay. Algorithms on prioritising and sampling transactions from pool, to facilitate execution of those transactions within their deadline requirements, such as normal, random, sorted, and stratified, are proposed and simulated. Performance variables such as the number of pending transactions, average speed, gas fees, deadlines, number of miners, are identified and taken into the block dependability in order to reveal the influence of those variables. Extensive parametric simulation results are presented and discussed in the cases of the random and sorted transaction sampling algorithms along with a prototype built based on the Ethereum open source. Keywords: blockchain; Ethereum; real-time; dependability; crypto computing. Article #2 Title: DeepICU: imbalanced classification by using deep neural networks for network intrusion detection Authors: Allen Yang; Boxiang Dong; Dawei Li; Weifeng Sun; Bharath K. Samanthula Int. J. of Big Data Intelligence, Vol. 7, No. 3, 2020, pp.137 - 147 Abstract: Cyber intrusions are becoming more commonplace, more dangerous, and more sophisticated. Therefore, there is a desperate need for a robust intrusion detection system. In a healthy network environment, a majority of the connections are initiated by benign behaviours. Despite a wide variety of attacks, they only occupy a limited fraction of the observed network traffic. The imbalanced class distribution implicitly forces conventional classifiers to be biased toward the majority/benign class, thus leave many attack incidents undetected. In this paper, we design a new intrusion detection system named DeepICU based on deep neural networks. To address the class imbalance issue, we design two novel loss functions, i.e., attack-sharing loss and attack-discrete loss, that can effectively move the decision boundary towards the attack classes. Extensive experimental results on three benchmark datasets demonstrate the high detection accuracy of DeepICU. In particular, compared with eight state-of-the-art approaches, DeepICU always provides the best class-balanced accuracy. Keywords: intrusion detection; deep learning; imbalanced classification; hard sample mining. Article #3 Title: Optimised parallel implementation with dynamic programming technique for the multiple sequence alignment Authors: T. Gururaj; G.M. Siddesh Int. J. of Big Data Intelligence,Vol. 7, No. 3, 2020, pp.148 - 156 Abstract: Gene sequencing techniques are very useful in analysing various diseases, especially cancer. The various techniques have been applied for the gene sequence for the effective analysis. These technique help also in reducing the computation time. Most existing methods are of low efficiency in the gene sequence alignment due to lack of proper technique to reduce the gap penalty. In this research, the optimised Needleman-Wunsch (ONW) algorithm is applied for multiple sequence alignment (MSA). The ONW technique uses Needleman-Wunsch (NW) algorithm in parallel implementation for multiple genes. The dynamic programming technique such as the backtracking algorithm is applied for reducing the gap penalty in the gene alignment. The proposed ONW algorithm is applied in the case study and being analysed for its performance. This proves that the proposed ONW algorithm has higher performance compared to the other existing method in the MSA techniques. The proposed method has an average similarity of 88.85%, while the existing method has a similarity of 60.23%. Keywords: backtracking algorithm; gap penalty; multiple sequence alignment; MSA; optimised Needleman-Wunsch algorithm; parallel implementation. Article #4 Title: Distributed log management for dynamically changing computing environments on cloud Authors: Takayuki Kushida Int. J. of Big Data Intelligence, Vol. 7, No. 3, 2020, pp.157 - 168 Abstract: The cloud logging service is a core component for the operation and management of the production system. The service is usually a central server deployment whereby the dedicated central servers accept all log messages from leaf computing nodes. As the number of applications and solutions on the cloud changes dynamically, the amount of log messages that are forwarded to the logging service is also changed. The paper proposes a distributed logging service (DLS) that distributes log messages to multiple leaf computing nodes. No central server is required to manage the logging service. DLS also provides alert notifications, authentication, lifetime management and resilience, which are required for the production system. Results of an evaluation of the emulated environment show that DLS is suitable for use with applications and solutions which are used for production usages. Keywords: distributed log; logging service; log management; cloud management; distributed hash table; DHT. Article #5 Title: A survey about legible Arabic fonts for young readers Authors: Anoual El Kah; Abdelhak Lakhouaja Int. J. of Big Data Intelligence, Vol. 7, No. 3, 2020, pp.169 - 175 Abstract: Reading is an interconnected cognitive process including recognition and comprehension. The objective of the reading act could not be achieved unless the text is legible enough to interpret. For that reason, legibility is crucial for the reading mechanism, it will affect reading speed and the recognition of the graphs in the right way. Based on the fact that fonts and the way the text is presented influence children's reading performance and fluency, the current paper investigates different Arabic fonts in order to determine the optimal font for a fluent reading for children with a low rate of errors in both printed and on-screen texts. This study recruits 33 primary Moroccan school students of third grade and investigates the reading fluency and error rates for five Arabic font types. This paper recommends, as a result, the use of Simplified Arabic font for reducing reading errors due to graphs presentation for either printed or on-screen texts. Keywords: reading; legibility; Arabic language; fonts; primary schools; Simplified Arabic. === Call For Papers - 2021 Thematic Issues === Big Data Intelligence for Medical AI and Healthcare (Submission deadline Nov. 30, 2020) Big Data Intelligence for 5G Applications and enhanced connectivity (Submission deadline Dec. 31, 2020) Big Data Intelligence for Smart Cities, Transportation and AIoT (Submission deadline Jan. 31, 2021) Big Data Intelligence for Extended Reality, Smart Education and Multimedia (Submission deadline Feb. 28, 2021) === About IJBDI === International Journal of Big Data Intelligence (IJBDI) is a peer reviewed journal publishing original and high-quality articles covering a wide range of topics in big data intelligence. IJBDI provides a rapid forum for the dissemination of original research as well as review/survey articles. The journal has a distinguished editorial board with extensive academic qualifications, ensuring high scientific standards. The IJBDI invites renowned researchers from various branches of the fields to submit manuscripts for publication in the journal. Accepted papers of IJBDI will undergo language copyediting, typesetting, and reference validation in order to provide the highest publication quality. The average reviewing process is about 10 weeks. Note: There is no submission or publication fees for manuscripts submitted to the International Journal of Big Data Intelligence (IJBDI). Journal homepage: https://www.inderscience.com/jhome.php?jcode=ijbdi Submission Portal: http://www.indersciencesubmissions.com *************************************************************************************************************************************************************************************************** The CSPlus (Computational Science Publicity and Liaison for Ubiquitous Society) mailing list has been setup for researchers and educators from around the world to share information with respect to upcoming events, publications, job opportunities, etc.. To unsubscribe, please go to http://hpc.asia.edu.tw/csplus/ or click http://hpc.asia.edu.tw/csplus/unsubscribe.php?mail=neumann@wu-wien.ac.at If you need any help, please email us at csplus(a)asia.edu.tw ***************************************************************************************************************************************************************************************************

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