Cfp March 2020

cfp@alice.wu.ac.at

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Fwd: [WI] CFP: 17th Conference on Principles of Knowledge Representation and Reasoning (KR 2020)
by Gustaf Neumann 04 Mar '20

04 Mar '20

-------- Forwarded Message -------- Subject: [WI] CFP: 17th Conference on Principles of Knowledge Representation and Reasoning (KR 2020) Date: Wed, 04 Mar 2020 10:40:34 +0200 From: Theofanis I. Aravanis <taravanis(a)upatras.gr> Reply-To: Theofanis I. Aravanis <taravanis(a)upatras.gr> Organization: University of Patras To: taravanis(a)upatras.gr CALL FOR PAPERS 17th Conference on Principles of Knowledge Representation and Reasoning (KR2020) 12-18 September 2020, Rhodes, Greece https://kr2020.inf.unibz.it/ Knowledge Representation and Reasoning (KR) is a well-established and lively field of research. In KR a fundamental assumption is that an agent's knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. This assumption, that much of what an agent deals with is knowledge-based, is common in many modern intelligent systems. Consequently, KR has contributed to the theory and practice of various areas in AI, including automated planning and natural language understanding, and to fields beyond AI, including databases, verification, software engineering, and robotics. In recent years, KR has contributed also to new and emerging fields, including the semantic web, computational biology, cyber security, and the development of software agents. The KR conference series is the leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge. SCOPE We solicit papers presenting novel results on the principles of KR that clearly contribute to the formal foundations of relevant problems or show the applicability of results to implemented or implementable systems. We also welcome papers from other areas that show clear use of, or contributions to, the principles or practice of KR. We also encourage "reports from the field" of applications, experiments, developments, and tests. Topics of interest include, but are not limited to: - Applications of KR - Argumentation - Belief revision and update, belief merging, information fusion - Commonsense reasoning - Computational aspects of knowledge representation - Concept formation, similarity-based reasoning - Contextual reasoning - Decision making - Description logics - Explanation finding, diagnosis, causal reasoning, abduction - Geometric, spatial, and temporal reasoning - Inconsistency- and exception tolerant reasoning, paraconsistent logics - KR and autonomous agents and multi-agent systems - KR and cognitive robotics - KR and cyber security - KR and education - KR and game theory - KR and machine learning, inductive logic programming, knowledge acquisition - KR and natural language processing and understanding - KR and the Web, Semantic Web - Knowledge graphs, virtual knowledge graphs, and open linked data - Knowledge representation languages - Logic programming, answer set programming, constraint logic programming - Modeling and reasoning about preferences - Multi- and order-sorted representations and reasoning - Nonmonotonic logics, default logics, conditional logics - Ontology formalisms and models - Ontology-based data access, integration, and exchange - Philosophical foundations of KR - Qualitative reasoning, reasoning about physical systems - Reasoning about actions and change, action languages - Reasoning about knowledge, beliefs, and other mental attitudes - Uncertainty, vagueness, many-valued and fuzzy logics KR2020 will also feature Workshops and Tutorials, solicited by means of an open call, and a Doctoral Consortium. TRACKS In addition to the main conference track, KR2020 will host the following tracks and sessions: * Applications and Systems Track * Recent Published Research Track * Special Session: KR and Machine Learning * Special Session: KR and Robotics * Special Session: Women in KR IMPORTANT DATES Submission of title and abstract: 4 March 2020 Paper submission deadline: 11 March 2020 Author response period: 4-6 May 2020 Notification: 27 May 2020 Camera-ready papers: 24 June 2020 Conference dates: 12-18 September 2020 Recent Published Research Track, Workshops and Tutorials, and Doctoral Consortium will have different submission and notification dates, which will be announced separately. AUTHORS GUIDELINES All submissions must be written in English and in AAAI style. Papers must be submitted in PDF format, through the EasyChair conference system: https://easychair.org/conferences/?conf=kr2020 . For the main conference track and additional tracks/sessions (except for the Recent Published Research track), we invite - Full papers of up to 9 pages, including abstract, figures, and appendices (if any), but excluding references and acknowledgements. - Short papers of up to 4 pages, excluding references and acknowledgements. Both full and short papers must describe original, previously unpublished research, and must not simultaneously be submitted for publication elsewhere. These restrictions do not apply to previously accepted workshop papers with a limited audience and/or without archival proceedings, and to papers uploaded at public repositories (e.g., arXiv). The accepted full papers and short papers will be published in the KR2020 proceedings. Recent Published Research Track, Workshops and Tutorials, and Doctoral Consortium will have different submission guidelines, which will be announced separately. CONFERENCE CHAIRS: General: Michael Thielscher (University of New South Wales, Australia) Program: Diego Calvanese (Free University of Bozen-Bolzano, Italy), Esra Erdem (Sabanci University, Turkey) Applications Track: Chitta Baral (Arizona State University, USA), Francesco Ricca (University of Calabria, Italy) Recent Published Research Track: James Delgrande (Simon Fraser University, Canada) Miros?aw Truszczynski (University of Kentucky, USA) Special Session: KR & ML: Alessandra Russo (Imperial College London, UK), Guy Van den Broeck (UCLA, USA) Special Session: KR & Robotics: Michael Beetz (University of Bremen, Germany), Fredrik Heintz (Linkoping University, Sweden) Special Session: Women in KR: Meghyn Bienvenu (University of Bordeaux, France), Magdalena Ortiz (Vienna University of Technology, Austria) Workshop and Tutorials: Anni-Yasmin Turhan (Dresden University of Technology, Germany), Renata Wassermann (University of Sao Paulo, Brasil) Doctoral Consortium: Vaishak Belle (University of Edinburgh, UK), Rafael Penaloza Nyssen (University of Milano-Bicocca, Italy) Local Organization: Pavlos Peppas (University of Patras, Greece) Publicity: Theofanis Aravanis (University of Patras, Greece) Paolo Felli (Free University of Bozen-Bolzano, Italy) -- 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] EMMSAD 2020 Conference, the deadline is around the corner!
by Gustaf Neumann 04 Mar '20

04 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] EMMSAD 2020 Conference, the deadline is around the corner! Date: Wed, 4 Mar 2020 07:37:18 +0000 From: Jelena Zdravkovic <jelenaz(a)kth.se> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> ***************************************************************** The 25th International Conference on Exploring Modeling Methods for Systems Analysis and Development (EMMSAD’2020) held in conjunction with CAiSE’20, Grenoble, France http://www.emmsad.org/ @EMMSADconf Submission deadline: March 9th, 2020 ********************************************************* Background and Aims: ******************** EMMSAD is a well-established two-day international working conference in conjunction with CAiSE (http://www.emmsad.org/). The objective of EMMSAD series is to provide a forum for researchers and practitioners interested in modeling methods for Systems Analysis and Development (SA&D), including enterprise, business process, information system (IS), and domain-specific modeling, to meet and exchange research ideas and results. Topics: ******* Foundations of modeling & method engineering: Chairs: Jolita Ralyte & Janis Stirna * Definition and representation * Agility in method engineering * Situational method engineering * Maturity and quality of methods * Method adaptation, extension and configuration Enterprise, business, process & capability modeling: Chairs: Janis Grabis & Paul Grefen * Enterprise modeling approaches, architectures, and platforms * Business models and ecosystems * Modeling data-driven organizations * Business process modeling, architectures, and evolution * Reference modeling * Capability-driven development IS & requirements modeling: Chairs: Oscar Pastor & Marcela Ruiz * Model-Driven development * Requirements modeling for emerging technologies such as big data and AI * Modeling in agile development * Crowd-based and collaborative modeling * Quality & NFRs of models and modeling * Traceability between software artifacts * Experience in practice and education Domain-specific & ontology modeling: Chairs: Dimitris Karagiannis & Arnon Sturm * Metamodel and model engineering * Design of DSLs and supporting tools * Multi-level and multi-perspective modeling * Ontology and domain-specific analogy * Practices of/with ontology and DSM * AI and DSM Evaluation of modeling approaches: Chairs: Agnes Koschmider & Geert Poels * Empirical evaluation * Formal evaluation * Evaluation through practice * (Re)Design of modeling approaches * New methods for model or modeling evaluation Important Dates: **************** * Abstract submissions: March 2, 2020 (recommended) * Full paper submissions: March 7, 2020 * Notification of acceptance: March 30, 2020 * Camera-ready copies: April 8, 2020 * Conference: June 8-9, 2020 Submission & Publication: ************************** The working conference accepts long papers that report Completed Research or Research-In-Progress and short papers reporting innovative ideas, experience, or tools. * Completed research papers should not only discuss research findings, but also the initial research objectives, the research methodology used, as well as its appropriateness and its execution. * Research-in-progress papers report on research that is well under way with preliminary results available at the time of the conference. These papers should clearly identify the research objectives of the ongoing research effort, the research methodology used, and the progress made so-far. * Idea papers may present completely new research approaches or adaptation of existing approaches to new types of emerging challenges. The papers should precisely describe the shortcomings of current methods, the innovative aspects of the suggested approach, and its potential to make change. * Experience reports are expected to report on work done in a context of a real-life organization. They should describe the practical goals of the work, the organizational/business context, the methods or theories used, and the lessons learnt. * Tool demonstration papers should be related to the conference topics. They should include the research background and application context, the key technologies used, the novelty of the tool, and its limitations. Please use the following format for your submissions: * Long papers (Completed Research and Research-in-Progress) should not exceed 15 pages (including references and appendices). * Short papers (idea papers, experience reports, and tool demonstration) should not exceed 8 pages (including references and appendices). The presentation of these papers may take an interactive form (e.g., a poster or a demo session). Only electronic submissions in PDF format, and in Springer's LNBIP style (See http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0) will be accepted through the conference management system available at https://easychair.org/my/conference?conf=emmsad2020. The proceedings with the accepted papers will be published in *** Springer's LNBIP series ***. Top papers will be invited to submit an extended and enhanced version for consideration for publication in *** SoSyM – Software and System Modelling journal *** (2-years IF for 2018: 2.660; Q1 in software engineering). The best paper will be awarded. Organization: ************* Organizing committee: * Iris Reinhartz-Berger, University of Haifa, Israel * Jelena Zdravkovic, Stockholm University, Sweden Advisory committee: * John Krogstie, Norwegian University of Science and Technology, Norway * Henderik A. Proper, Luxembourg Institute of Science & Technology, Luxembourg _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] iCFP HICSS-54 Minitrack on Emerging Issues in Distributed Group Decision-Making
by Gustaf Neumann 04 Mar '20

04 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] iCFP HICSS-54 Minitrack on Emerging Issues in Distributed Group Decision-Making Date: Tue, 3 Mar 2020 21:15:57 +0000 From: Anil Aggarwal <aaggarwal(a)ubalt.edu> To: ISWorld <aisworld(a)lists.aisnet.org> Dear Colleagues: After successful sessions last five years, we are continuing our mini track on Emerging Issues in Distributed Group Decision-Making: Opportunities and Challenges at the HICSS Conference. We invite you to submit your paper to our minitrack . A call for papers is attached. http://home.ubalt.edu/ntsbagga/hicss_54.htm Regards, Anil Aggarwal University of Baltimore USA Doug Vogel Harbin Institute of technology PRC Yuko SJ Murayama Tsuda College Japan ===================== CALL FOR PAPERS FOR the Mini-track Emerging Issues in e-collaboration Distributed Group Decision-Making: Opportunities and Challenges<http://home.ubalt.edu/ntsbagga/hicss_54.htm> (Part of the Collaboration Systems and Technology track ) HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS-54) Grand Hyatt Kauai Given the current turbulent state of world economy, outsourcing is coming under tremendous pressure. Companies are no longer providing long-term contracts but are renewing them based on deliverables from outsourced companies. This is putting tremendous pressure on teams to deliver quality product on time. Team adaptability and team configuration are becoming crucial to meet deadlines. Teams must be able to adapt quickly to the changing environment. Agile teams adapt and deliver quickly and provide maximum customer satisfaction. By definition, however, agile teams must be co-located. Can distributed teams be agile and adaptable? This requires careful team configuration. Distributed teams face many challenges of time, location, infrastructure, language, customs, socialization and politics. This is further compounded in globally distributed teams by diversity, nationality and cultural issues. As old issue are resolved, new challenges emerge that require knowledge from multiple disciplines such as information systems, social sciences, international management, leadership and political science. It is almost impossible for one individual to have expertise in so many domains, which makes this a very challenging but ultimately rewarding collaborative area of research. Given the richness and research potential of this area, it is essential to brainstorm and bring diverse points of view to develop underlying theory and frameworks. The mini track will attempt to accomplish these objectives. The mini track will address emerging issue such as diversity, culture, adaptability and agility related to teams in distributed group decision making, as well as the underlying theories of group dynamics, coordination, communications and decision-making in distributed environments, in creation of competitive advantage. Examples of topics in the discussion of globally distributed decision making mini-track will include the following (but are not limited to): * eCollaboration in distributed teams * Fake news impact on ecollaboration * Swift team collaboration * Sub groups impact on eCollaboration * Big data collaboration * E-government(s) inter- , intra-collaboration * Collaboration through crowdsourcing * Disaster management in distributed teams * Delivering health services through collaboration * Economics of distributed decision making in the clouds * Trust and distrust as motivator in distributed decision making * Can agile teams be globally distributed? * Agile/Adaptable team configuration in globally distributed teams * The "e (internet)" to "m (mobile)" transformation of globally distributed teams * Communication and coordination in globally distributed teams * Diversity issues in globally distributed teams * Customer satisfaction, performance and "trust" building in globally distributed teams * Synchronous and asynchronous decision making in globally distributed teams * Comparison of issues across internal, inter-, intra and offshore distributed teams * Turbulent economy and its impact on outsourcing * Models of globally distributed agile/adaptable teams * Knowledge creation, transfer and integration across globally distributed teams * Leadership/cohesiveness issues in globally distributed teams * Issues related to functional and dysfunctional globally distributed teams * Security, privacy and risk associated with globally distributed teams * Case Studies (success/failures) related to decision making by globally distributed teams Contact Information for Mini-Track Chair: Dr. A. K. Aggarwal** University of Baltimore, USA 410-8375275 aaggarwal(a)ubalt.edu<mailto:aaggarwal@ubalt.edu> Dr. Doug Vogel Harbin Institute of technology PRC isdoug(a)hit.edu.cn<mailto:isdoug@hit.edu.cn> Dr. Yuko SJ Murayama Tsuda College Japan murayama(a)tsuda.ac.jp<mailto:murayama@tsuda.ac.jp> Important Deadlines: June 15, 2020: Paper Submission Deadline (11:59 pm HST) August 17, 2020: Notification of Acceptance/Rejection September 4, 2020: Deadline for A-M Authors to Submit Revised Manuscript for Review September 22, 2020: Deadline for Authors to Submit Final Manuscript for Publication October 1, 2020: Deadline for at least one author of to register for HICSS-54Instructions for Paper Submission: * HICSS papers must contain original material not previously published, or currently submitted elsewhere. * Do not submit the manuscript to more than one mini-track. If unsure which mini-track is appropriate, submit the abstract to the Track Chair for guidance. * Submit your full paper according to the detailed formatting and submission instructions found on the HICSS website. Note: All papers will be submitted in double column publication format and limited to 10 pages including diagrams and references. HICSS will conduct double-blind reviews of each submitted paper. HICSS conferences are devoted to advances in the information, computer, and system sciences, and encompass developments in both theory and practice. Invited papers may be theoretical, conceptual, tutorial or descriptive in nature. Submissions undergo a double-blind peer referee process and those selected for presentation will be published in the Conference Proceedings. Submissions must not have been previously published. For the latest information visit the HICSS web site at: http://www.hicss.hawaii.edu/ CONFERENCE ADMINISTRATION: Tung Bui, Conference Chair Email: tungb(a)hawaii.edu Thayanan Phuaphanthong, Conference Administrator Email: hicss(a)hawaii.edu<mailto:hicss@hawaii.edu> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Contents: Information Systems Management, Vol. 37 No. 2
by Gustaf Neumann 04 Mar '20

04 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] Contents: Information Systems Management, Vol. 37 No. 2 Date: Tue, 3 Mar 2020 21:14:09 +0000 From: Janice Sipior <janice.sipior(a)villanova.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Latest issue of Information Systems Management (ISM) Volume 37, Number 2, 2020 2018 Impact Factor: 2.042 http://www.tandfonline.com/uism Editor-in-Chief: Janice C. Sipior, Villanova University TOC 1. Linking Excessive SNS Use, Technological Friction, Strain, and Discontinuance: The Moderating Role of Guilt by Adeel Luqman, Qingxiong (Derek) Weng, Ayesha Masood, Ahmed Ali, and Muhammad Imran Rasheed 2. The Interactive Effect of Board Monitoring and Chief Information Officer Presence on Information Technology Investment by Serdar Turedi 3. A methodological Critique of the Interpretive Ranking Process for Examining IS Project Failure by Laurie Hughes, Yogesh K. Dwivedi, and Nripendra P. Rana 4. Biometric identification for socioeconomic development in Ghana by John Effah, Emmanuel Owusu-Oware, and Richard Boateng 5. Should data structures look flat for end users? by Michael Schulz, Paul Alpar, and Patrick Winter 6. Triggers of social network collapse by Ivan Belik CALL FOR PAPERS ISM places a high value on article content that communicates advanced practices to address current IS management challenges and innovative applications of new, but proven, information technologies. The methodological orientation is towards field research informed by published literature, but primarily based on case study, surveys, and field experiences of IS experts. Inquiries should be sent to: Janice C. Sipior, ism(a)villanova.edu Interested authors should consult the Instructions for Authors at: http://www.tandfonline.com/uism Manuscripts should be submitted via: http://mc.manuscriptcentral.com/uism _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] HICSS-54 CFP on Judgement, Big Data-Analytics and Decision-making
by Gustaf Neumann 04 Mar '20

04 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] HICSS-54 CFP on Judgement, Big Data-Analytics and Decision-making Date: Wed, 4 Mar 2020 09:39:11 +1300 From: Nazim Taskin <nazimtaskin(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear colleagues, Call for Papers HICSS-52 (2021) - Mini-Track: Judgement, Big Data-Analytics and Decision-making Track: Knowledge Innovation and Entrepreneurial Systems Gathering, analyzing and judging reliable data and information, and more importantly, transforming them into actionable knowledge is becoming increasingly critical in decision-making. Human judgement, based on experience and knowledge, plays an important role in all facets of decision-making, but may be incomplete in certain decision situations. The study of the transformation of data into useful information and eventually knowledge and wisdom through the use of increasingly sophisticated analytics for management decision making is an important, emerging field of research and deserves further study. This mini track welcomes empirical research adopting quantitative, qualitative and design science methodologies, as well as conceptual papers that offer theoretical insights into the human- and knowledge-centric aspects of analytics, big data and decision-making. While technology plays a centric role in the research relevant to this mini-track, overly technical or purely mathematical and algorithmic papers are out of scope of this mini-track. Potential topics that this mini-track will address are (but not limited to): · Knowledge innovation through emergent and convergent technologies (including big data and analytics) · Knowledge innovation and the use of big data and analytics for decision makers and entrepreneurs · Role of big data and analytics in leveraging intuition, judgment, and wisdom in organizations and society · Socio-technical theories and application in the big data era · Data-driven decision-making and the role of human input · Analysis of web and social media big data including text mining, sentiment analysis, and emotion analysis for decision making · Knowledge management, big data and analytics for formulating business strategy and government policy · Design, development, and use of KM and analytics technologies to support data-driven decisions, judgments, and strategies · Organizational barriers and enablers of the use of technology for KM and business analytics in managerial and strategic decision- and policy-making · Data visualization as knowledge tool for decision-making · Real time analysis of knowledge including wisdom of the crowds-based research · Data-knowledge transformation for strategic decision-making · Business analytics and big data challenges in managing data-driven operational, managerial, and strategic decision-making · Data Mining of tacit and explicit knowledge · Organizational culture and data-driven organizations · Issues concerning ethics, legality and security of data in judgment and decision making · Individual, Intra-, and inter-organizational KM and business analytics technologies Deadlines: · April 20: Paper submission begins · June 15: Paper submission deadline · August 17: Notification of Acceptance/Rejection · September 22: Deadline for authors to submit final manuscript for publication · October 1: Deadline for at least one author of accepted paper to register for the conference Conference website: https://hicss.hawaii.edu/ Conference Date: January 5-8, 2021 Mini-Track Chairs: Prof David J Pauleen (Primary Contact Person) Professor of Technology Management, School of Management, Massey University, Auckland, New Zealand d.pauleen(a)massey.ac.nz Dr Nazim Taskin Senior Lecturer School of Management, Massey University, Auckland, New Zealand n.taskin(a)massey.ac.nz Dr Kasuni Weerasinghe Lecturer Management Information Systems School of Management, Massey University, Auckland, New Zealand w.m.k.g.weerasinghe(a)massey.ac.nz Dr Ali Intezari Lecturer in Management School of Business, St. Lucia Campus, The University of Queensland, Australia a.intezari(a)business.uq.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] HICSS 2021 CFP Security and Privacy Challenges in Healthcare
by Gustaf Neumann 04 Mar '20

04 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] HICSS 2021 CFP Security and Privacy Challenges in Healthcare Date: Tue, 03 Mar 2020 12:50:46 -0800 From: Au Vo <auvo1001(a)gmail.com> To: This is the AISWorld List Server <aisworld(a)lists.aisnet.org> Dear Colleagues: Please consider submitting your research to the Security and Privacy Challenges in Healthcare at HICSS 2021 in Kauai on January 5-8, 2021 (https://hicss.hawaii.edu/) Digitizing healthcare services can provide many new benefits and opportunities. However, it can also introduce new research challenges in terms of protecting the security and privacy security of patient data and electronic health records. Furthermore, as security incidents and breaches continue to impact healthcare providers and organizations, patient information continues to be at risk and such organizations are under pressure to enhance the credibility and reliability of the health facilities that they provide. The Security and Privacy Challenges in Healthcare mini-track encourages research in emerging problems and opportunities for security and privacy in healthcare. Further, it addresses new approaches and strategies to improve the capabilities for protecting healthcare information. Research may focus on specific areas related to themes and issues, tools and techniques, Mobile Health (mHealth) security and privacy, securing electronic health records, mitigating risks, incident response, technical and legal issues related to the security and privacy of patient healthcare data, including data obtained through Internet of Things (IoT), cloud computing, artificial intelligence (AI), and virtual reality (VR) technologies implemented in healthcare. Topics covered by the mini-track include, but are not limited to: * Security and privacy challenges associated with Electronic Health Records (EHR) * Privacy concerns for patients’ data * Security and privacy risks associated with technologies such as cloud computing, Internet of Things (IoT), artificial intelligence (AI), and virtual reality (VR) for healthcare * Mobile Health (mHealth) security and privacy * Mitigating risks in Healthcare Information Technology * Incident response and digital forensic readiness in healthcare * Lessons learned from recent healthcare security breaches * EHR vendor selection and management with a focus on security and privacy * Legal issues and regulations * Security Education, Training, and Awareness (SETA) programs * Tools, techniques, and algorithms for protecting patients’ data * Healthcare infrastructure protection * Theoretical foundations of security and privacy for healthcare Deadlines: * April 20: Paper submission begins * June 15: Paper submission deadline * August 17: Notification of Acceptance/Rejection * September 22: Deadline for authors to submit final manuscript for publication * October 1: Deadline for at least one author of accepted paper to register for the conference Minitrack chair: Au Vo, PhD Assistant Professor Loyola Marymount University Thanks, -Au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP_ The 31st International Conference on Database and Expert Systems Applications - DEXA2020
by Gustaf Neumann 03 Mar '20

03 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP_ The 31st International Conference on Database and Expert Systems Applications - DEXA2020 Date: Tue, 03 Mar 2020 12:36:56 +0100 From: Hesti Sudjana <hesti.sudjana(a)jku.at> To: aisworld(a)lists.aisnet.org *************************************************************************** We apologize if you receive multiple copies of this CFP *************************************************************************** C A L L F O R P A P E R S The 31st International Conference on Database and Expert Systems Applications - DEXA2020 September 14 - 17, 2020 Bratislava, Slovakia http://www.dexa.org/dexa2020 email: dexa2020(a)easychair.org Papers submission:https://easychair.org/conferences/?conf=dexa2020 **** IMPORTANT DATES **** Paper submission: March 16, 2020 Notification of acceptance: May 20, 2020 Camera-ready copies due: June 19, 2020 **** PUBLICATION **** All accepted conference papers will be published in a volume of "Lecture Notes in Computer Science" (LNCS) by Springer. All published papers will be indexed appropriately in all major indexes. Selected high-quality papers will be invited to be published, after revision and extension, in special issues of international journals. **** SCOPE **** Database, information, and knowledge systems have always been a core subject of computer science. The ever increasing need to distribute, exchange, and integrate data, information, and knowledge has added further importance to this subject. Advances in the field will help facilitate new avenues of communication, to proliferate interdisciplinary discovery, and to drive innovation and commercial opportunity. Since 1990, DEXA has been an annual international conference which showcases state-of-the-art research activities in database, information, and knowledge systems. DEXA provides a forum to present research results and to examine advanced applications in the field. The conference and its associated workshops offer an opportunity for developers, scientists, and users to extensively discuss requirements, problems, and solutions in database, information, and knowledge systems. DEXA 2020 invites research submissions on all topics related to database, information, and knowledge systems including, but not limited to the points in the list below. We also welcome survey papers, provided that the survey fills a void or goes beyond existing overview papers. - Acquisition, Modeling, Management and Processing of Knowledge - Authenticity, Privacy, Security, and Trust - Availability, Reliability and Fault Tolerance - Big Data Management and Analytics - Consistency, Integrity, Quality of Data - Constraint Modeling and Processing - Cloud Computing and Database-as-a-Service - Database Federation and Integration, Interoperability, Multi-Databases - Data and Information Networks - Data and Information Semantics - Data Integration, Metadata Management, and Interoperability - Data Structures and Data Management Algorithms - Database and Information System Architecture and Performance - Data Streams, and Sensor Data - Data Warehousing - Decision Support Systems and Their Applications - Dependability, Reliability and Fault Tolerance - Digital Libraries, and Multimedia Databases - Distributed, Parallel, P2P, Grid, and Cloud Databases - Graph Databases - Incomplete and Uncertain Data - Information Retrieval - Information and Database Systems and Their Applications - Mobile, Pervasive and Ubiquitous Data - Modeling, Automation and Optimization of Processes - NoSQL and NewSQL Databases - Object, Object-Relational, and Deductive Databases - Provenance of Data and Information - Semantic Web and Ontologies - Social Networks, Social Web, Graph, and Personal Information Management - Statistical and Scientific Databases - Temporal, Spatial, and High Dimensional Databases - Query Processing and Transaction Management - User Interfaces to Databases and Information Systems - Visual Data Analytics, Data Mining, and Knowledge Discovery - WWW and Databases, Web Services - Workflow Management Authors are invited to electronically submit original research contributions or experience reports in English. DEXA will accept submissions of both short (up to 10 pages) and full papers (up to 15 papers). The submitted manuscript should closely reflect the final paper as it will appear in the Proceedings. DEXA reserves the right to accept papers only as short papers, in which papers describe interesting and innovative ideas which still require further technical development. Any submission that significantly exceeds length limits or deviates from formatting requirements may be rejected without review. Formatting guidelines: http://www.dexa.org/formatting_guidelines Online Papers Submission: https://easychair.org/conferences/?conf=dexa2020 **** REVIEW PROCESS **** Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Duplicate submissions are not allowed and will be rejected immediately without further review. Authors are expected to agree to the following terms: "I understand that the submission must not overlap substantially with any other paper that I am a co-author of or that is currently submitted elsewhere. Furthermore, previously published papers with any overlap are cited prominently in this submission." Questions about this policy or how it applies to a specific paper should be directed to the PC Co-chairs. **** ACCEPTED PAPERS **** All accepted conference papers will be published in a volume of "Lecture Notes in Computer Science" (LNCS) by Springer Verlag. Authors of all accepted papers must sign a Springer copyright release form. Papers are accepted with the understanding that at least one author will register for the conference to present the paper. Authors of selected papers presented at the conference will be invited to submit extended versions of their papers for publication in the Springer journal Transactions of Large Scale Data and Knowledge Centered Systems (TLDKS). The submitted extended versions will undergo a further review process. **** Program Committee Co-Chairs **** Josef Küng, Johannes Kepler University Linz, Austria Sven Hartmann, Clausthal University of Technology, Germany Program Committees: http://www.dexa.org/dexa2020 For further inquiries, please contact the PC Chairs/co-Chairs (dexa2020(a)easychair.org) ------------------------------------------------- Hesti Sudjana Departement of Telecooperation Johannes Kepler University Linz Science Park 3, Altenberger Straße 69, 4040 Linz, Austria ------------------------------------------------- _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 14th International Conference on Research Challenges in Information Science (RCIS 2020): Call for Research Projects @RCIS Track
by Gustaf Neumann 03 Mar '20

03 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] 14th International Conference on Research Challenges in Information Science (RCIS 2020): Call for Research Projects @RCIS Track Date: Tue, 3 Mar 2020 13:53:34 +0200 From: George Angelos Papadopoulos <george(a)cs.ucy.ac.cy> To: SIGSAND-L(a)CLIFFY.UCS.MUN.CA, CHI-ANNOUNCEMENTS(a)LISTSERV.ACM.ORG, SIGOPS-ANNOUNCE(a)acm.org, confs-submit(a)hri.org, aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> *** Call for Research Projects @RCIS Track *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://www.rcis-conf.com/rcis2020/researchProjects.php Submission deadline: March 21, 2020 (AoE) RCIS 2020 features a new track entirely devoted to presenting results and perspectives of research projects (e.g. H2020 or ERC projects, national grants) in the context of Information Science. This track features a good opportunity for both presenters to disseminate the results of their projects, and for participants to get an updated view of ongoing research while getting in touch with potential research partners. The Research Projects @RCIS Track follows a two-step publication process. Firstly, the authors should submit a 2 pages paper summarizing the objectives of the project and relevant results. Each submission will be peer reviewed on the relevance of the submitted paper in the context of RCIS. If the paper is accepted, the authors will have to register to the conference in order to present their work at the Posters and Demos session at RCIS. After the conference, presenters will have the opportunity to submit the presented poster, which will be published in the RCIS 2020 website. No shows will be excluded from the final proceedings. SUBMISSION PROCESS Each submission will be reviewed by at least 2 members of the RCIS scientific committees, and should include: • Project full name, acronym, duration (from-to) and URL • Names of presenter(s) and main contributors • Summary of project objectives and expected tangible outputs. • Summary of current project results Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template. To ensure uniformity, we have prepared ready-to-use templates for Word and LaTeX which are available on the conference web site. References and appendices must be included within the 2 pages. Papers can be submitted via Easychair (https://easychair.org/my/conference?conf=rcis2020#) by selecting the “Research Projects @RCIS 2020” track. IMPORTANT DATES • Submission deadline: March 21, 2020 (AoE) • Notification (based on relevance only): March 25, 2020 • Author registration and camera-ready copy deadline: March 31, 2020 • Conference: May 20-22, 2020 CONTACT POINTS For further questions please contact: Marcela Ruiz marcela.ruiz(a)zhaw.ch Elena Kornyshova elena.kornyshova(a)cnam.fr CONFERENCE COMMITTEES Steering Committee • Saïd Assar, Institut Mines-Telecom Business School, France • Marko Bajec,University of Ljubljana, Slovenia • Pericles Loucopoulos, Manchester University, University Kingdom • Haralambos Moratidis, University of Brighton, United Kingdom • Selmin Nurcan, Université Paris 1 Panthéon-Sorbonne, France • Oscar Pastor, Universitat Politècnica de València, Spain • Jolita Ralyté, CUI, University of Geneva, Suisse • Colette Rolland, Université Paris 1 Panthéon-Sorbonne, France General Chairs • George A. Papadopoulos, University of Cyprus, Cyprus • Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair • Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs • Jelena Zdravkovic, Stockholm University, Sweden • Fabiano Dalpiaz, Utrecht University, Netherlands Doctoral Consortium Chairs • Raian Ali, Bournemouth University, United Kingdom • Sergio España, Utrecht University, Netherlands Tutorial Chairs • Estefania Serral Asensio, KU Leuven, Belgium • Ignacio Panach, University of Valencia, Spain Posters & Demos Chairs • Elena Kornyshova, Conservatoire National des Arts et Métiers, France • Marcela Ruiz, Zurich University of Applied Sciences, Switzerland _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Book Chapters on Intelligent Technologies for Internet of Vehicles
by Gustaf Neumann 03 Mar '20

03 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for Book Chapters on Intelligent Technologies for Internet of Vehicles Date: Tue, 3 Mar 2020 11:55:05 +0000 From: Naercio Magaia <ndmagaia(a)fc.ul.pt> Call for Book Chapters for the Springer-Verlag Handbook: "Intelligent Technologies for Internet of Vehicles" Series on Internet of Things - Technologies, Communications and Computing (covered by Scopus) Editors: * Naercio Magaia, University of Lisbon, Portugal * George Mastorakis, Hellenic Mediterranean University, Greece * Constandinos X. Mavromoustakis, University of Nicosia, Cyprus * Evangelos Pallis, Hellenic Mediterranean University, Greece * Evangelos K. Markakis, Hellenic Mediterranean University, Greece Internet-of-things (IoT) has appeared as a novel and ground-breaking technology aiming to provide Internet connectivity to every device that have computation, communication and storage capability. Numerous applications such as smart health, smart cities, smart industries, and smart homes are a result of this phenomenon of connecting smart devices with the Internet. In order to provide secure and safe transportation, IoT has evolved into a novel concept, also known as the Internet of Vehicles (IoV) where smart vehicles equipped with computing, communicating and storing capabilities communicate with each other and with surrounding infrastructure via vehicle-to-everything (V2X) communications. The latter enabled the exchange of critical information among smart vehicles including sudden lane changes, steep-curves, black ice warnings, and traffic accidents avoidance, therefore assisting the drivers in extreme and difficult situations. IoV has an enormous potential to provide secure and sa fer transportation as it enables the vehicles to take correct decision in a timely manner. In addition, IoV will also have intelligence and learning capabilities to anticipate the vehicular users' intentions. Cloud-based IoV mechanisms provide several essential services from routing to content search, spectrum sharing, dissemination, attack protection, etc. However, IoV-based objects produce a vast volume of information frequently called as Big Data, which cannot be easily processed by traditional algorithms and schemes. Future smart environments will enable efficient handling and processing of Big Data that is generated by the associated objects for an effective communication and co-operation among them. In addition, Artificial Intelligence (AI) will play a crucial role in such environments, enabling for smarter services, applications, business processes and social interaction among the IoV objects. In this respect, a great potential exists for advanced technological solutions combined with AI and IoV-enabled capabilities. AI mechanisms applied in IoV environments can be exploited in smart cities to analyze drivers' actions via data gathered and/or exchanged by enabled V2X vehicles' Electronic Control Unit (ECU) and microcontrollers. AI will play a significant role in future IoV applications and infrastructures, by providing insights from collected data. This capability will enable the identification of patterns and will allow operational predictions with higher accuracy in small time periods. AI applications for smart vehicles will also enable businesses to develop new products, reduce possible risks and increase efficiency during the production time, by predicting failures that are usually non-detectable by humans. The future of the implementation of AI-powered IoV infrastructures depends on the effective solutions to a number of technical challenges that such paradigms introduce. These challenges include intelligent sensor capabilities improvement and integration, smart Big Data analytics, automated remote data management, as well as open and secure composition of processes, which may be implemented into emerging AI-enabled IoV scenarios. Some initiatives try to incorporate Artificial Intelligence schemes in IoV environments, but new frameworks have to be defined. In fact, the approach of IoV is to find the potential benefits of AI, in order to build extensive ecosystems, for increasing the number of automated services and their value. This Book aims to gather recent research works in emerging Artificial Intelligence methods for processing and storing the data generated from cloud-based Internet of Vehicles infrastructures. In this context, the major subjects of the proposed book will cover th e analysis and the development of AI-powered mechanisms in future IoV applications and architectures. Topics of interest include but are not limited to: * Emerging trends of AI and IoV * Architectures and systems for AI and IoV convergence * IoV with Machine Learning technologies * IoV with deep learning schemes * AI-enabled IoV applications and systems * Performance evaluation of Deep Learning and IoV-related mechanisms * Social computing and Intelligent IoV * Blockchain-oriented IoV schemes and related topics * Artificial immune systems and IoV * Algorithm optimization for intelligent IoV applications * Intelligent Big Data analytics * AI-enabled computing * Deep-learning network approaches for IoV applications and services. * Applications of AI for 5G-based IoV resource management * Intelligent edge/fog-based computing and analysis * Self-Organizing intelligent systems * Smart cities and AI applications * AI in all sort of vehicular communications * Security, privacy and trust by design and performance evaluation * Multimedia QoS, and traffic management in IoV * Intelligent network estimation techniques * AI-based schemes for IoV emergency communication networks * Applications of AI for 5G+ vehicular technologies We strongly welcome other topic suggestions, dealing with AI and IoV and any converged approach. Schedule & Deadlines * 15th April 2020 Chapter proposal (max. 2-pages)/Intention to submit a chapter * 31st July 2020 Full chapter submission via e-mail: itiov(a)outlook.com<mailto:itiov@outlook.com> * 30th September 2020 Review comments * 31st October 2020 Submission of the revised version * 30th November 2020 Final acceptance notification * 31st December 2020 Final manuscript Manuscript Preparation * Please follow the manuscript formatting guidelines below and submit the original version (in Microsoft word) and or LaTex format as per the guidelines (URL: http://www.di.fc.ul.pt/~nmagaia/it_iov/T1-book_IT-IoV.zip). * Each final manuscript should be about 25-35 pages long (formatted). Depending on the number of submissions, longer manuscripts will also be accepted. * Please prepare your manuscript according to the following guidelines: http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-… http://www.di.fc.ul.pt/~nmagaia/it_iov/PermissionReqForm_Springer_2020.doc * Submit the proposal of your chapter(s) via e-mail: itiov(a)outlook.com<mailto:itiov@outlook.com> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Book Chapters on Intelligent Technologies for Internet of Vehicles
by Gustaf Neumann 03 Mar '20

03 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for Book Chapters on Intelligent Technologies for Internet of Vehicles Date: Tue, 3 Mar 2020 11:55:36 +0000 From: Naercio Magaia <ndmagaia(a)fc.ul.pt> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Call for Book Chapters for the Springer-Verlag Handbook: "Intelligent Technologies for Internet of Vehicles" Series on Internet of Things - Technologies, Communications and Computing (covered by Scopus) Editors: * Naercio Magaia, University of Lisbon, Portugal * George Mastorakis, Hellenic Mediterranean University, Greece * Constandinos X. Mavromoustakis, University of Nicosia, Cyprus * Evangelos Pallis, Hellenic Mediterranean University, Greece * Evangelos K. Markakis, Hellenic Mediterranean University, Greece Internet-of-things (IoT) has appeared as a novel and ground-breaking technology aiming to provide Internet connectivity to every device that have computation, communication and storage capability. Numerous applications such as smart health, smart cities, smart industries, and smart homes are a result of this phenomenon of connecting smart devices with the Internet. In order to provide secure and safe transportation, IoT has evolved into a novel concept, also known as the Internet of Vehicles (IoV) where smart vehicles equipped with computing, communicating and storing capabilities communicate with each other and with surrounding infrastructure via vehicle-to-everything (V2X) communications. The latter enabled the exchange of critical information among smart vehicles including sudden lane changes, steep-curves, black ice warnings, and traffic accidents avoidance, therefore assisting the drivers in extreme and difficult situations. IoV has an enormous potential to provide secure and sa fer transportation as it enables the vehicles to take correct decision in a timely manner. In addition, IoV will also have intelligence and learning capabilities to anticipate the vehicular users' intentions. Cloud-based IoV mechanisms provide several essential services from routing to content search, spectrum sharing, dissemination, attack protection, etc. However, IoV-based objects produce a vast volume of information frequently called as Big Data, which cannot be easily processed by traditional algorithms and schemes. Future smart environments will enable efficient handling and processing of Big Data that is generated by the associated objects for an effective communication and co-operation among them. In addition, Artificial Intelligence (AI) will play a crucial role in such environments, enabling for smarter services, applications, business processes and social interaction among the IoV objects. In this respect, a great potential exists for advanced technological solutions combined with AI and IoV-enabled capabilities. AI mechanisms applied in IoV environments can be exploited in smart cities to analyze drivers' actions via data gathered and/or exchanged by enabled V2X vehicles' Electronic Control Unit (ECU) and microcontrollers. AI will play a significant role in future IoV applications and infrastructures, by providing insights from collected data. This capability will enable the identification of patterns and will allow operational predictions with higher accuracy in small time periods. AI applications for smart vehicles will also enable businesses to develop new products, reduce possible risks and increase efficiency during the production time, by predicting failures that are usually non-detectable by humans. The future of the implementation of AI-powered IoV infrastructures depends on the effective solutions to a number of technical challenges that such paradigms introduce. These challenges include intelligent sensor capabilities improvement and integration, smart Big Data analytics, automated remote data management, as well as open and secure composition of processes, which may be implemented into emerging AI-enabled IoV scenarios. Some initiatives try to incorporate Artificial Intelligence schemes in IoV environments, but new frameworks have to be defined. In fact, the approach of IoV is to find the potential benefits of AI, in order to build extensive ecosystems, for increasing the number of automated services and their value. This Book aims to gather recent research works in emerging Artificial Intelligence methods for processing and storing the data generated from cloud-based Internet of Vehicles infrastructures. In this context, the major subjects of the proposed book will cover th e analysis and the development of AI-powered mechanisms in future IoV applications and architectures. Topics of interest include but are not limited to: * Emerging trends of AI and IoV * Architectures and systems for AI and IoV convergence * IoV with Machine Learning technologies * IoV with deep learning schemes * AI-enabled IoV applications and systems * Performance evaluation of Deep Learning and IoV-related mechanisms * Social computing and Intelligent IoV * Blockchain-oriented IoV schemes and related topics * Artificial immune systems and IoV * Algorithm optimization for intelligent IoV applications * Intelligent Big Data analytics * AI-enabled computing * Deep-learning network approaches for IoV applications and services. * Applications of AI for 5G-based IoV resource management * Intelligent edge/fog-based computing and analysis * Self-Organizing intelligent systems * Smart cities and AI applications * AI in all sort of vehicular communications * Security, privacy and trust by design and performance evaluation * Multimedia QoS, and traffic management in IoV * Intelligent network estimation techniques * AI-based schemes for IoV emergency communication networks * Applications of AI for 5G+ vehicular technologies We strongly welcome other topic suggestions, dealing with AI and IoV and any converged approach. Schedule & Deadlines * 15th April 2020 Chapter proposal (max. 2-pages)/Intention to submit a chapter * 31st July 2020 Full chapter submission via e-mail: itiov(a)outlook.com<mailto:itiov@outlook.com> * 30th September 2020 Review comments * 31st October 2020 Submission of the revised version * 30th November 2020 Final acceptance notification * 31st December 2020 Final manuscript Manuscript Preparation * Please follow the manuscript formatting guidelines below and submit the original version (in Microsoft word) and or LaTex format as per the guidelines (URL: http://www.di.fc.ul.pt/~nmagaia/it_iov/T1-book_IT-IoV.zip). * Each final manuscript should be about 25-35 pages long (formatted). Depending on the number of submissions, longer manuscripts will also be accepted. * Please prepare your manuscript according to the following guidelines: http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-… http://www.di.fc.ul.pt/~nmagaia/it_iov/PermissionReqForm_Springer_2020.doc * Submit the proposal of your chapter(s) via e-mail: itiov(a)outlook.com<mailto:itiov@outlook.com> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

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