Cfp December 2018

cfp@alice.wu.ac.at

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Fwd: [AISWorld] CFP - ICAIAME 2019 (20-22 April 2019 - Antalya/Turkey)
by Gustaf Neumann 28 Dec '18

28 Dec '18

-------- Forwarded Message -------- Subject: [AISWorld] CFP - ICAIAME 2019 (20-22 April 2019 - Antalya/Turkey) Date: Tue, 25 Dec 2018 09:46:47 +0000 From: Dr. Utku Kose <utkukose(a)sdu.edu.tr> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleagues; We invite you to submit your papers for the International Conference on Artificial Intelligence and Applied Mathmematics in Engineering (ICAIAME) 2019. This conference is scheduled to be held in Antalya from 20-22 April 2019<x-apple-data-detectors://0> (http://www.icaiame.com<http://www.icaiame.com/>). ICAIAME 2019 aims to become a major point of contact between researchers, academic faculty, students, engineers and practitioners on the areas of Artificial Intelligence, Machine Vision, Image Processing, Data Science and Pattern Recognition, both from theoretical and application perspectives. Participants will have the opportunity to present the results of their research, and benefit from direct interaction with their scientific peers, in a friendly and constructive environment. The conference will feature keynote speakers, paper presentations, technical interviews, and posters from industry and academia. Abstract / Full Paper Submission Deadline: 28 December 2018<x-apple-data-detectors://2> Listing of the Accepted Papers: 18 January 2019<x-apple-data-detectors://3> Early Registration Deadline: 31 January 2019<x-apple-data-detectors://4> Camera Ready Paper Submission Deadline: 5 April 2019<x-apple-data-detectors://5> CONFERENCE: 20-21-22 April 2019<x-apple-data-detectors://6> Complete details are available on the conference website; http://icaiame.com<http://icaiame.com/> ICAIAME 2019 proceedings will be published in Springer Series and there are journal publishing opportunities. Looking forward to your contributions. With our best regards, Assist. Prof. Dr. Utku KOSE Conference Chair Prof.Dr. Tuncay YİĞİT Conference President International Conference on Artificial Intelligence and Applied Mathmematics in Engineering (ICAIAME) 2019 Utku KOSE, PhD. Assist. Prof. of Computer Engineering Suleyman Demirel University, Faculty of Engineering, Dept. of Computer Engineering, West Campus, 32260, Isparta / Turkey Phone (GSM): 0090532 590 83 26<tel:0090532%20590%2083%2026> Web Page (Personal): http://www.utkukose.com<http://www.utkukose.com/> Academic Profiles: ResearchGate<https://www.researchgate.net/profile/Utku_Koese> / GoogleScholar<http://scholar.google.com.tr/citations?user=aTweWB4AAAAJ> / Academia<http://usak.academia.edu/UtkuKose> / Mendeley<http://www.mendeley.com/profiles/utku-kose/> Scopus ID: 36544118500 / ResearcherID: C-8683-2009 / Orcid ID: 0000-0002-9652-6415 -- Bu mesaj zararlı öğeler için taranmıştır. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] AMCIS 2019 CfP - Mini-track: Security Breaches, Forensics, and Incident Management
by Gustaf Neumann 28 Dec '18

28 Dec '18

-------- Forwarded Message -------- Subject: [AISWorld] AMCIS 2019 CfP - Mini-track: Security Breaches, Forensics, and Incident Management Date: Fri, 28 Dec 2018 13:25:21 -0500 From: Mohammadreza Mousavizadeh <m.r.mousavizadeh(a)gmail.com> To: aisworld(a)lists.aisnet.org 2019 Americas Conference on Information Systems (AMCIS), Cancún, México. Track: Information Security and Privacy Mini-track: Security Breaches, Forensics, and Incident Management Greetings! We invite you to submit to the “Security Breaches, Forensics, and Incident Management” mini-track under the “Information Security and Privacy” track for AMCIS 2019 given your research related to Digital Crimes, Forensics, and Post-Incident Management. If after looking over the track and mini-track descriptions, you have questions please contact us. Thank you for reading over the call for papers and we look forward to your potential submission. Track Description Cybersecurity remains a key challenge for organizations despite massive investments over the last two decades. While technological advancements have been made to improve cybersecurity, human vulnerabilities have become the weakest link in security. High profile events such as defections, espionage, and massive data breaches have led the public to question their own expectations of privacy. While there is an abundance of practices and techniques for employing cybersecurity, many hard problems remain unanswered. The purpose of this track is to provide a forum for theoretical developments, empirical research findings, case studies, methodologies, artifacts, and other high-quality manuscripts. Sponsored by SIGSEC, we seek to address important questions arising from emerging developments in information security, such as security analytics, financial crimes, security analytics, and digital forensics? How do system defenders share information to mitigate vulnerabilities and exploits? Does pervasive data collection deter privacy-conscious individuals? Do regulations and policies influence employee security behaviors and organizational security postures? Mini-track description Cyber criminals increasingly target organizations to steal data and to sabotage business operations. Therefore, it is important that we constantly improve our understanding of how organizations may better detect, respond, and learn from incidents and security breaches. New knowledge will help organizational leaders minimize the adverse impacts of security breaches on operations, victims (internal and external), systems, and market performance. New knowledge may also help shield an organization from potential legal ramifications by demonstrating due diligence. In this mini-track, we explore these issues via both technical and managerial perspectives. For technologies and processes, we focus on digital forensics that are critical to effective incident and security breach responses. For management strategies, we focus on risk communication, incident response procedures, trust repair, and management of victim responses. Modern organizations are subject to increased multi-faceted threats from security breaches. Victim organizations often suffer losses in internal operations,market performance, consumer trust, as well as legal consequences. To respond to a security incident (e.g., data breaches), organizations draw on digital forensics processes and techniques to determine cause, prosecute offenders, and provide insight into the attack vectors deployed. Meanwhile, organizational leaders adopt management strategies to alleviate the adverse impacts of an attack on employees/customers and the society at large. Efforts are also necessary to ensure compliance with laws and regulations (e.g., GDPR). This mini-track seeks studies exploring how technical and managerial controls, policies, procedures, and options can strengthen an organization’s security posture and minimize the likely impacts of security incidents. Examples topics include (but are not limited to): · The impact of digital forensics approaches, techniques, and/or tools on an organization’s defense posture and residual risk · Digital forensic case studies · Forensic data analytics and organizational performance · Security policies, investment, and educational programs · Economic impacts of security incidents on an organization · Affective and behavioral responses of individual victims · Trust repair strategies on victims · Organizational response tactics on incident detection, reporting, and victim notification · Detection of management misbehavior (e.g., insider trading) related to security breaches · Advances in network forensics to include AI-guided IDPSs · SIEM systems as a means to better monitor overall organizational security postures Completed Research and ERFs submissions are due by March 1st, 2019 at 10:00 am PST. Mini-track Chairs Mohammadreza Mousavizadeh, m.mousavizadeh(a)wmich.edu Alan Rea, alan.rea(a)wmich.edu Best regards,

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Fwd: [AISWorld] CFP of the 5th workshop on Continuous Requirements Engineering
by Gustaf Neumann 28 Dec '18

28 Dec '18

-------- Forwarded Message -------- Subject: [AISWorld] CFP of the 5th workshop on Continuous Requirements Engineering Date: Fri, 28 Dec 2018 13:02:13 +0000 From: Mārīte Kirikova <Marite.Kirikova(a)rtu.lv> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> CRE'19: the 5th workshop on Continuous Requirements Engineering held in conjunction with the 25th edition of REFSQ (Intl. Working Conference on Requirements Engineering: Foundation of Software Engineering) March 18, 2019, Essen, Germany Important dates: Submission deadline: January 14, 2019 Notification: February 4, 2019 Camera ready: February 25, 2019 All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: * Position papers (4-6 pages): Such papers should state the position of the authors regarding any topic of the workshop. * Reports (4-8 pages): Experience reports and case studies are expected to be submitted in this category. * Research papers (8-10 pages): Research papers should describe innovative approaches. Accepted papers to be published by CEUR Press, selected extended versions – in the Open Access Journal Submission link https://easychair.org/conferences/?conf=cre19 Workshop website https://wwwswt.informatik.uni-rostock.de/CRE19/ Contacts: · Peter Forbrig peter.forbrig(a)uni-rostock.de<mailto:%70%65%74%65%72%2E%66%6F%72%62%72%69%67%40uni-rostock.de> · Marite Kirikova marite.kirikova(a)rtu.lv<mailto:marite.kirikova@rtu.lv> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP ICIST19
by Gustaf Neumann 25 Dec '18

25 Dec '18

-------- Forwarded Message -------- Subject: [AISWorld] CFP ICIST19 Date: Mon, 24 Dec 2018 20:30:00 +0000 From: Eom, Sean B <sbeom(a)semo.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> ACM - ICIST' 2019 indexed by ACM - Digital Library & Scopus CFP ACM -ICIST'2019 (The 9th International Conference on Information Systems and Technologies) Cairo, Egypt. 24 - 26 March 2019 http://www.ijist.net/ICIST2019/ - Submission Deadline: 31 December 2018 - Camera ready & Registration: 05 January 2019 - Conference Dates: 24-26 March 2019 CONFERENCE SCOPE ICIST'2019 will be composed of research presentations, keynote lectures, invited presentations, tutorials, panel discussions, and poster presentations.. PAPER SUBMISSION: If your work is related to ICIST'2019 topics, it is now a good opportunity to submit your contribution through the Easychair system. https://easychair.org/conferences/?conf=icist20190 - Full paper (5 to 12 pages) formatted according to the ACM style: - Short paper (2 to 4 pages). - Abstract Paper (500 words). - Poster Abstract (300 words). - Research in progress: Ongoing research from undergraduates, graduates/postgraduates and professionals. - If you encounter problems for submission, contact us at Email: icist.educ(a)gmail.com Publications: ICIST'2019's selected high quality and presented papers, with 30-40% extension and revision, will be recommended for a special issue to one of indexed Journals. For more details, please visit http://www.ijist.net/ICIST2019/submission.html If you have any questions, contact us at icist.educ(a)gmail.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] HICSS-52 - Tutorial on STORM/CSbD for Mission Assurance
by Gustaf Neumann 24 Dec '18

24 Dec '18

-------- Forwarded Message -------- Subject: [AISWorld] HICSS-52 - Tutorial on STORM/CSbD for Mission Assurance Date: Fri, 21 Dec 2018 14:22:29 +0300 From: Tyson Brooks <dr.tyson.brooks(a)ieee.org> To: aisworld(a)lists.aisnet.org Attending the upcoming the upcoming Hawaii International Conference on System Sciences (HICSS-52) at the Grand Wailea, Maui, 8-11 January ( http://hicss.hawaii.edu/)? Then consider the following tutorial session by leading experts in the Cybersecurity field. Systems-Theoretic and Technical Operational Risk Management (STORM): Certified Security by Design for Mission Assurance and Mission Translation 9am – 12pm, January 8, 2019 The objective of this tutorial is to demonstrate how Certified Security by Design (CSbD) is achieved by STORM – System-Theoretic and Technical Operational Risk Management. The tutorial will demo a CSbD mathematically sound method, design flowed, tool, and display how to routinely produce systems, which warfighters and society rely on, through the integration of Functional Mission Analysis (FMA), CSbD, software verification, and hardware. This tutorial will also examine an Air Force (AF) pedagogy created to address the shortage of qualified cyber security professionals through programs executed at the undergraduate level through its Advanced Course in Engineering (ACE) engineering program. The underlying ACE philosophy is to completely immerse participants in the cyber security discipline during a ten-week summer program through a combination of intense coursework and internship experiences. SWT Leaders: *William Young* Syracuse University william.young.3(a)us.af.mil *Shiu-Kai Chin* Syracuse University skchin(a)syr.edu *Erich Devendorf* Air Force Research Laboratory, U.S. States Air Force erich.devendorf.1(a)us.af.mil v/r, Tyson Dr. Tyson Brooks Syracuse University IEEE Senior Member _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] ISDEB Workshop im Rahmen der WI 2019 in Siegen
by Gustaf Neumann 24 Dec '18

24 Dec '18

-------- Forwarded Message -------- Subject: [WI] ISDEB Workshop im Rahmen der WI 2019 in Siegen Date: Fri, 21 Dec 2018 11:31:44 +0000 From: Weinmann Markus <markus.weinmann(a)uni.li> Reply-To: Weinmann Markus <markus.weinmann(a)uni.li> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> Liebe Kolleginnen und Kollegen, auch im Jahr 2019 wird der Workshop „IS Design & Economic Behavior“ (ISDEB) im Rahmen der MKWI stattfinden. Der Workshop bietet ein Forum, um die deutschsprachige Community in diesem Bereich besser zu vernetzen. In dem Workshop werden reife, aber noch nicht publizierte, aktuelle Forschungsarbeiten präsentiert und diskutiert. *Organisation* Jeder Vortragende erhält einen Zeitslot von ca. 45-60 Minuten. Damit besteht die Möglichkeit, die Forschungsarbeiten detailliert zu präsentieren und ausführlich mit allen Workshop-Teilnehmern zu diskutieren. Eine detaillierte Beschreibung der Aims&Scope des Workshops und des avisierten Teilnehmerkreises finden Sie hier:https://blogs.uni-paderborn.de/econ-of-is-dach/ Der Workshop wird am *24. Februar 2019 als Pre-Workshop zur WI 2019 in Siegen*, voraussichtlich zwischen*10:30 Uhr und 16:00 Uhr*stattfinden, wobei wir mit ca. 5 Paper-Präsentationen planen. Die Teilnahme ist kostenlos und wird freundlicherweise vom Sonderforschungsbereich 901 - On-the-fly computing - unterstützt werden. *Registrierung für Teilnehmer* Die Registrierung ist ab sofort bis *Mitte Januar 2019* über Doodle möglich: https://ethz.doodle.com/poll/f6yvu6wb3zm42fau Wir bitten um rechtzeitige Anmeldung, damit wir entsprechend das Catering organisieren können. *Einreichung von Workshop-Beiträgen* Dieses Jahr nehmen wir Workshop-Beiträge unkompliziert via Mail bis zum *15. Januar* an Stefan Feuerriegel (sfeuerriegel(a)ethz.ch <mailto:sfeuerriegel@ethz.ch>) an. Wir bitten mindestens einen Titel sowie einen Extended Abstract zuzusenden, freuen uns aber auch insbesondere auf Working Paper im Entwicklungsstadium. Wie in den Vorjahren gehen wir davon aus, dass Präsentationen durch Wissenschaftler ab dem PostDoc-Level gehalten werden. Die Organisatoren werden die eingereichten Vorschläge nach Ablauf der Frist screenen und mit Hinblick auf ein interessantes Programm entsprechende Einladungen aussprechen. Wir freuen uns über eine rege Beteiligung. Leiten Sie diese Einladung gerne an alle einschlägig Interessierten aus Ihrem Netzwerk weiter. Mit herzlichen Grüßen Stefan Feuerriegel und Markus Weinmann -- *Dr. Markus Weinmann* Assistant Professor University of Liechtenstein Institute of Information Systems Fürst-Franz-Josef-Strasse, 9490 Vaduz, Liechtenstein Phone +423 265 11 11, Direct +423 265 13 04 markus.weinmann(a)uni.li <mailto:markus.weinmann@uni.li>, www.uni.li/markus.weinmann <http://www.uni.li/markus.weinmann> -- 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] The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Fourth Call for Papers
by Gustaf Neumann 24 Dec '18

24 Dec '18

-------- Forwarded Message -------- Subject: [AISWorld] The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Fourth Call for Papers Date: Fri, 21 Dec 2018 15:09:09 +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, confs-submit(a)hri.org, aisworld(a)lists.aisnet.org *** FOURTH CALL FOR PAPERS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) “Making Personalization Transparent: Giving control back to the User" Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Abstracts due: January 25, 2019 (mandatory) Papers due: February 1, 2019 BACKGROUND AND SCOPE ACM UMAP, "User Modeling, Adaptation and Personalization", is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB. The proceedings are published by ACM and will be part of the ACM Digital Library. ACM UMAP covers a wide variety of research areas where personalization and adaptation may be applied. This include (but is in no way limited to) a number of domains in which researchers are engendering significant innovations based on advances in user modeling and adaptation, recommender systems, adaptive educational systems, intelligent user interfaces, e-commerce, advertising, digital humanities, social networks, personalized health, entertainment, and many more. This year the conference hosts three new tracks, one on privacy and fairness, one on personalized music access, and one on personalized health. CONFIRMED INVITED SPEAKERS • Marios Avraamides, University of Cyprus • Judith Masthoff, Utrecht University • Mounia Lalmas-Roelleke, Spotify London CONFERENCE TRACKS Track 1 - Personalized Recommender Systems Chairs: Marko Tkalcic, Free University of Bozen-Bolzano, marko.tkalcic(a)unibz.it Alan Said, University of Skövde, alansaid(a)acm.org Personalized, computer-generated recommendations have become a pervasive feature of today’s online world. The underlying recommender systems are designed to help users and providers in a number of ways. > From a user’s viewpoint, for example, these systems assist consumers in finding relevant things within large item collections. On the other hand, from a provider’s perspective, recommenders have also shown to be valuable tools to steer consumer behavior. From a technical perspective, the design of such systems requires the careful consideration of various aspects, including the choice of the user modeling approach, the underlying recommendation algorithm, and the user interface. This track aims to provide a forum for researchers and practitioners to discuss open challenges, latest solutions and novel research approaches in the field of recommender systems. Besides the above-mentioned technical aspects, works are also particularly welcome that address questions related to the user perception and the business value of recommender systems. Topics include (but are not limited to): • Recommendation algorithms • Recommender and personalization system evaluation • User modeling and preference elicitation • Users’ perception of recommender systems • Business value of recommendation systems and multi-stakeholder environments • Explanations and trust • Context-aware recommendation algorithms • Recommending to groups of users • Case studies of real-world implementations • Novel, Psychology-informed User- and Item-modeling Track 2 - Adaptive Hypermedia And The Semantic Web Chairs: Liliana Ardissono, University of Torino, liliana.ardissono(a)unito.it Katrien Verbert, KU Leuven, katrien.verbert(a)cs.kuleuven.be Adaptive hypermedia and adaptive web explore alternatives to the traditional “one-size-fits-all” approach in the development of web and hypermedia systems. Adaptive hypermedia and adaptive web systems build a model of the interests, preferences and knowledge of each individual user, and use this model in order to adapt the behavior of hypermedia and web systems to the needs of that user. Semantic web frequently serves as an infrastructure to enable adaptive and personalized Web systems. Semantic web technology targets the use of explicit semantics and metadata to help web systems perform the desired functionality: this implies the use of linked data from the web, the use of ontologies in models, or the use of metadata in user interfaces, as well as the use of ontologies for information integration. This track aims to provide a forum to researchers to discuss open research problems, solid solutions, latest challenges, novel applications and innovative research approaches in adaptive hypermedia and semantic web. Topics include (but are not limited to): • Web user profiles • Adaptive navigation support • Personalized search • Web content adaptation • Analytics of web user data • Adaptive web sites and portals • Adaptive books and textbooks • Social navigation and social search • Navigation support in continuous media and virtual environments • Usability engineering for adaptive hypermedia and web systems • Novel methodologies for evaluating adaptive hypermedia and web systems • Semantic Web technologies for web personalization • Ontology-based data access and integration/exchange on the adaptive web • Ontology engineering and ontology patterns for the adaptive web • Ontology-based user models • Semantic social network mining, analysis, representation, and management • Crowdsourcing semantics; methods, dynamics, and challenges • Semantic Web and Linked Data for adaptation Track 3 - Intelligent User Interfaces Chairs: Li Chen, Hong Kong Baptist University, lichen(a)comp.hkbu.edu.hk Jingtao Wang, Google, jingtaow(a)acm.org Intelligent User Interfaces aim to improve the interaction between computer systems and human users by means of Artificial Intelligence. The systems support and complement different types of abilities that are normally unavailable in the context of human-only cognition. Previous work has found that humans do not always make the best possible decisions when working together with computer systems. By designing and deploying improved forms of support for interactive collaboration between human decision makers and systems, we can enable decision making processes that better leverage the strengths of both collaborators. More generally this research track can be characterized by exploring how to make the interaction between computers and people smarter and more productive, which may leverage solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning. Topics include (but are not limited to): • Adaptive personal virtual assistants (e.g., interaction with robots) • Adapting natural interaction (e.g., natural language, speech, gesture) • Intelligent user interfaces based on sensor data (UIs for cars, fridges, etc.) • Multi-modal interfaces (speech, gestures, eye gaze, face, physiological info, etc.) • Intelligent wearable and mobile interfaces • Smart environments and tangible computing • Transparency and control of decision support systems (e.g., semi-autonomous systems) • Explainable intelligent user interfaces • Affective and aesthetic interfaces • Tailored persuasion and argumentation interfaces • Tailored decision support (e.g., over- and under-reliance in uncertain domains) • Adaptive information visualization • Scalability of intelligent user interfaces to access huge datasets • User-centric studies of interactions with intelligent user interfaces • Novel datasets and use cases for intelligent user interfaces • Evaluations of intelligent user interfaces Track 4 - Personalized Social Web Chairs: Ilaria Torre, University of Genova, ilaria.torre(a)unige.it Osnat Mokryn, omokryn(a)univ.haifa.ac.il The social web is continuously growing and social platforms are a fundamental part of our life. Mediated communication is becoming the primary form of communication for young people, and adults follow in increasing numbers. Online communication is increasingly enriched by the use of memes, pictures, audio and video, though language (textual and oral) remains a fundamental tool with which people interact, convey their opinions, construct and determine their social identity. Lifelogging data (e.g., health, fitness, food) is growing as well on the social web. This type of personal information source, gathered for private use through personal devices, is now often shared in online communities. These trends open new challenges for research: how to harness the power of collective intelligence and quantified self data in online social platforms to identify social identities, how to exploit continuous feedback threads, and how to improve the individual user experience on the social web. We invite original submissions addressing all aspects of personalization, user models building and personal experience in online social systems. Topics include (but are not limited to): • Personalization of the web experience in social systems • Adaptations based on personality, society, and culture • Personalization algorithms and protocols inspired by human societies • Social recommendation • Identifying social identities in social media • Social and crowd-generated data for adaptation • Personalized information retrieval • Exploiting quantified self data on the social web of things • Data-driven approaches for personalization • Modeling individuals, groups, and communities • Collective intelligence and experience mining • Pattern and behaviour discovery in social network analysis • Opinion mining for user modeling • Sentiment analysis • Topic modeling for online conversations and short texts • Privacy, perceived security, and trust in social systems • Ethical issues involved in studying the social web • User awareness and control • Evaluation methodologies for the social web Track 5 - Technology-Enhanced Adaptive Learning Chairs: Jesús G. Boticario, UNED, jgb(a)dia.uned.es Inge Molenaar, Radboud University, i.molenaar(a)pwo.ru.nl At large there is an on-going “fusion” between humans and technological systems. The ongoing integration of devices into our daily lives furthers the integration of technology in human learning. With technology increasingly gaining more data and intelligence, a new era of technology-enhanced adaptive learning is emerging. Consequently, the interactions between learners, teachers and technology are becoming increasingly complex. Learning is a positioned as a complex human process that involves cognitive, metacognitive, motivational, affective and psychomotor aspects which interact with the learning context. Smart technological solutions are increasingly able to identify and model the learner needs on these five aspects and accordingly provide personalized support that can improve the effectiveness, efficiency and satisfaction of learning experiences. Current research in artificial intelligence combined with data science and learning analytics bring new opportunities to recognize, and effectively support individual learners’ needs and orchestrate collaborate and classroom learning with intelligent learning solutions, and augment teachers in blended learning situations. The aim of this track is to foreground the systematic complexity of human learning and use systematic analytic approaches to measure, diagnose and support human learning with technologies. This covers not only formal educational settings, but also lifelong learning requirements (including workplace training) as well as the acquisition of skills informal learning settings (e.g., in daily activities, serious games, sports, healthcare, wellbeing, etc.). To address the wide spectrum of modeling issues and challenges that can be raised, contributions from various research areas are welcome. Therefore, this track invites researchers, developers, and practitioners from various disciplines to present their innovative adaptive learning solutions, share acquired experience, and discuss the main modeling challenges for technology enhanced adaptive learning. Topics include (but are not limited to): • Domain, learner, teacher and context modeling • Modeling cognitive, metacognitive, motivational, affective and psychomotor aspects of learning • Diagnosis of learner needs and calibration of support and feedback Adaptive and personalized support for learning • Dealing with ethical issues involved in detecting and modeling a wider range of information sources (e.g., information from novel sensing devices, ambient intelligent features) that may affect learning • Management of large, open, and public datasets for educational data mining • Agent-based learning environments and virtual pedagogical agents • Open corpus personalized learning • Collaborative and group learning • Adaptive technologies to orchestrated classroom Learning • Personalized teachers awareness and support tools • Multimodal learning analytics to personalize learning • UMAP aspects in specific learning solutions: educational recommender systems, intelligent tutoring systems, serious games, personal learning environments, MOOCs • Wearable technologies and augmented reality in adaptive personalized learning • Processing collected data for UMAP: educational data mining, learning analytics, big data, deep learning. • Semantic web and ontologies for e-learning • Interoperability, portability, and scalability issues • Case studies in real-world educational settings • New methodologies to develop user-centered highly personalized learning solutions Track 6 - Privacy And Fairness Chairs: Bart Knijnenburg, Clemson University, bartk(a)clemson.edu Esma Aimeur, University of Montreal, aimeur(a)iro.umontreal.ca Adaptive systems researchers and developers have a social responsibility to care about their users. This involves building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, and protect users' privacy. We invite papers that study, in the context of UMAP, the topics of privacy (as well as innovative means to resolve privacy problems through algorithms, interfaces, or other technical or non-technical means), fairness (covering the spectrum from algorithmic fairness to social implications of adaptive systems), and transparency (as a concept of system usability as well as a means to resolve problems with privacy and fairness). Beyond this we encourage authors to submit to this track any work that ascribes to or advances the general idea of "adaptive systems that care”. Privacy topics: • Analysis of privacy implications of user modeling • Privacy compliance • Algorithmic solutions to privacy • Architectural solutions to privacy • Interactive solutions to privacy • Usable privacy for adaptive systems • User perceptions of privacy in UMAP applications • Studies of users’ privacy-related behaviors in UMAP applications • Descriptions or evaluations of privacy-settings user interfaces • Privacy prediction / personalization • User-tailored approaches to privacy • Privacy education for user modeling • Modeling of data protection and privacy requirements • Economics of privacy and personal data • Measuring privacy Fairness topics: • Ethical considerations for user modeling • UMAP applications for underrepresented groups • Cultural differences (e.g. culture-aware user modeling) • Bias and discrimination in user modeling • Imbalance in meeting the needs of different groups of users • Balancing needs of users versus system owners • Ethics of explore/exploit strategies or A/B testing • ‘Filter bubble’ or ‘balkanization’ effects • Enhancing/embracing diversity in user modeling • Algorithmic methods for increasing fairness • User perceptions of fairness • Measuring fairness Transparency topics: • User perceptions of transparency • Transparent algorithms • Interface innovations that increase transparency • Explanations for transparency • Visualizations for transparency • Adaptive systems for self-actualization • (User-centric) evaluations of methods that increase transparency • Measuring transparency Track 7 - Personalized Music Access Chairs: Markus Schedl, University of Linz, markus.schedl(a)jku.at Nava Tintarev, TU Delft, n.tintarev(a)tudelft.nl Music access systems (e.g., search, retrieval, and recommendation systems) have experienced a boom during the past decade due to the availability of huge music catalogs to users, anywhere and anytime. These systems record information on user behavior in terms of actions on music items, such as play, skip, or playlist creation and modification. As a result, an abundance of user and usage data has been collected and is available to companies and academics, allowing for user profiling and to create and improve personalized music access. This track addresses unsolved challenges in this area relating to user understanding and modeling, personalization in recommendation and retrieval systems, modeling usage context, and adapting interactive intelligent music interfaces. This track aims to provide a forum for researchers and practitioners for the latest research on? user modeling and personalization for finding, making, and interacting with music. Topics include (but are not limited to): • Personalized music preference elicitation and preference learning • Psychological modeling of music listeners (e.g., personality, emotion, etc.) • Subjective perceptions of music (e.g., similarity, mood, tempo) social and cultural aspects of listening behavior (e.g., for group recommenders) • Applications for personalized music consumption and creation • Personalized playlist generation and continuation (e.g., sequences and transitions) • Personalized music interaction and interface paradigms (e.g., visualization, VR) • Explainability, transparency, and fairness in personalized music • Systems user-centric performance measures (e.g., diversity, novelty, serendipity, etc.) • Datasets (including benchmarks) for personalizing music retrieval and recommendation Track 8 - Personalized Health Chairs: Christoph Trattner, University of Bergen, trattner.christoph(a)gmail.com David Elsweiler, University of Regensburg, david(a)elsweiler.co.uk Growing health issues and rising treatment costs mean that technological systems are increasingly important for global health. Personalised systems, tailored to the needs and behaviours of individual patients, are one of the promising approaches to health promotion by encouraging lifestyle change, managing treatment programmes and providing doctors and other healthcare providers with detailed individualized feedback. The challenges to developing such systems, which model user needs and preferences, as well as appropriate medical knowledge to provide assistance and recommendations are plentiful. The diverse technologies which could potentially feature in solutions are equally vast, ranging from AI systems to sensors, from mobile computing, augmented reality and visualization, to mining the web or other data streams to learn about health issues and user behaviour. In this track we invite scholars working in these or related areas to contribute to the discourse on how technology can promote health. This track aims to provide a forum to researchers to discuss open research problems, solid solutions, latest challenges, novel applications and innovative research approaches and in doing so to strengthen the community of researchers working on Personalized Health and attract representatives from from diverse scholarly backgrounds ranging from computer and information science to public health, epidemiology, psychology, medicine, nutrition and fitness. Topics include (but are not limited to): • Algorithms and Recommendation Strategies to increase health • Mobile health • Quantified self • Applied data analytics and modeling for health • Health risk modeling and forecasting • Systems for Preventative Measures • Medical Evaluation Techniques • Domain Knowledge Representation • Behavioral Interventions: Persuasion/Nudging/Behavioral Change • HCI, Interfaces and Visualisations for health • Regulations and Standards • Human/ Expert-in-the-Loop • Gamification and Serious Games • Privacy, Trust, Ethics • Datasets SUBMISSION AND REVIEW PROCESS Papers should be submitted through EasyChair: https://easychair.org/conferences/?conf=acmumap2019 The ACM User Modeling, Adaptation, and Personalization (ACM UMAP) 2019 Conference will include high quality peer-reviewed papers related to the above key areas. Maintaining the high quality and impact of the ACM UMAP series, each paper will have three reviews by program committee members and a meta-review presenting the reviewers’ consensual view; the review process will be coordinated by the program chairs in collaboration with the corresponding area chairs. Long (8 pages + references) and Short (4 pages + references) papers in ACM style, peer reviewed, original, and principled research papers addressing both the theory and practice of UMAP and papers showcasing innovative use of UMAP and exploring the benefits and challenges of applying UMAP technology in real-life applications and contexts are welcome. Long papers should present original reports of substantive new research techniques, findings, and applications of UMAP. They should place the work within the field and clearly indicate innovative aspects. Research procedures and technical methods should be presented in sufficient detail to ensure scrutiny and reproducibility. Results should be clearly communicated and implications of the contributions/findings for UMAP and beyond should be explicitly discussed. Short papers should present original and highly promising research or applications. Merit will be assessed in terms of originality and importance rather than maturity, extensive technical validation, and user studies. For both long papers and short paper submissions, it is not required to anonymize the manuscripts, i.e., ACM UMAP will apply a single-blind reviewing process. Separation of long and short papers will be strictly enforced so papers will not compete across categories, but only within each category. Papers that receive high scores and are considered promising by reviewers, but didn’t make the acceptance cut, will be directed to the poster session of the conference and will be invited to be resubmitted as posters. Papers must be formatted using the ACM SIG Standard (SIGCONF) proceedings template: https://www.acm.org/publications/proceedings-template . Please note that ACM changed its templates at the start of 2017, so please ensure that you use the new template and do not reuse an old template. All accepted papers will be published by ACM and will be available via the ACM Digital Library. At least one author of each accepted paper must register for the conference and present the paper there. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) IMPORTANT DATES • Abstract: January 25, 2019 (mandatory) • Full paper: February 1, 2019 • Notification: March 11, 2019 • Camera-ready: April 3, 2019 • Adjunct proceedings, camera ready: April 15, 2018 Note: The submissions times are 11:59pm AoE time (Anywhere on Earth). GENERAL CHAIRS • George A. Papadopoulos, University of Cyprus, Cyprus • George Samaras, University of Cyprus, Cyprus • Stephan Weibelzahl, PFH Private University of Applied Sciences, Göttingen, Germany RELATED EVENTS Separate calls will be later sent for Workshops and Tutorials, Doctoral Consortium, Demos, Late Breaking Results and Theory, Opinion and Reflection works, as they have different deadlines and submission requirements. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Announcing the publication of AIS-THCI Volume 10(4), available online
by Gustaf Neumann 24 Dec '18

24 Dec '18

-------- Forwarded Message -------- Subject: [AISWorld] Announcing the publication of AIS-THCI Volume 10(4), available online Date: Sun, 23 Dec 2018 15:38:17 -0500 From: Prof. Paul Benjamin Lowry <paul.lowry.phd(a)gmail.com> To: aisworld(a)lists.aisnet.org We are pleased to continue our 10th year at AIS Transactions on HCI (THCI) with our fourth of four issues to be published this year. We present the December issue with two high-quality papers outlined below. You are welcome to freely download the papers from this issue and other issues by visiting the AIS E-Library, or the direct links below. You can go directly to our journal at the following: http://aisel.aisnet.org/thci/ ============ In this issue (Volume 10, Issue 4) ============ DOI 10.17705/1thci.00109 Loiacono, Eleanor; Fulwiler, Carl E.; Cohanim, Roxane; and Davis, Maryann (2018) "An Investigation into College Students' Preferences for Technology Integration into Mindfulness-based Stress Reduction," AIS Transactions on Human-Computer Interaction (10) 4, pp. 188-204 Available at: https://aisel.aisnet.org/thci/vol10/iss4/1 Abstract: This study investigates if college students in general and those with stress, depression, and anxiety in particular would use technology to reduce their stress via mindfulness-based training. We conducted two studies. The first study focused on how college students who struggle with stress, depression, and anxiety view mindfulness-based stress reduction and using technology to support it. We conducted a survey that assessed how college students rated a variety of technologies that they could use to enhance their mindfulness-based stress reduction. The second study focused on whether college students with and without mental health issues would prefer to use an app in their mindfulness training. The first study involved 81 U.S. college students from 18 to 27 years old, and the second involved nine college students over 18 years old who had experienced stress, depression, and anxiety. The results suggest that college students did not differ in the likelihood that they would use different technologies to reduce their stress via mindfulness-based training. A majority of participants who struggled with stress, depression, and anxiety and who had taken mindfulness-based stress reduction training believed that having a mindfulness-based stress reduction app in conjunction with the in-person class we offered would reduce barriers to practicing mindfulness-based stress reduction. While many companies and technologists tout the benefits of pure online or digital solutions to mindfulness practice, the college students who struggled with stress, depression, and anxiety in our study clearly signaled that they did not prefer a technology solution alone and that they found such a solution insufficient. Keith, Mark J.; Anderson, Greg; Gaskin, James; and Dean, Douglas L. (2018) "Team Video Gaming for Team Building: Effects on Team Performance," AIS Transactions on Human-Computer Interaction (10) 4, pp. 205-231 DOI DOI: 10.17705/1thci.00110 Available at: https://aisel.aisnet.org/thci/vol10/iss4/2 Abstract: Teams rapidly form and dissolve in organizations to solve specific problems that require diverse skills and experience. For example, in the information systems context, cross-functional and project-based teams that comprise a mix of personnel who temporarily work away from their usual functional groups (best perform agile software development (Barlow et al., 2011; Keith, Demirkan, & Goul, 2013). These newly formed work teams need to become productive as quickly as possible. Team video gaming (TVG) has emerged as a potential team-building activity. When new teammates play a collaborative video game, they engage in cooperative and challenging goals while they enjoy the games. Although research has shown that video games can promote learning and recreation, it has not investigated the effects of commercial video games on subsequent work-team performance. Better understanding this issue will provide insights into how to rapidly develop cohesion among newly formed work teams and, thus, lead to greater team performance. We examined this issue through a laboratory experiment. We found that teams in the TVG treatment demonstrated a 20 percent productivity improvement in subsequent tasks (in our case, a team-based geocaching scavenger hunt) over teams that participated in traditional team-building activities. ================== Call for Papers ================== THCI is one of the journals in the AIS (Association for Information Systems) e-library at http://aisel.aisnet.org/thci. THCI is a high-quality peer-reviewed international scholarly journal on Human-Computer Interaction. As an AIS journal, THCI is oriented to the Information Systems community, emphasizing applications in business, managerial, organizational, and cultural contexts. However, it is open to all related communities that share intellectual interests in HCI phenomena and issues. The editorial objective is to enhance and communicate knowledge about the interplay among humans, information, technologies, and tasks in order to guide the development and use of human-centered Information and Communication Technologies (ICT) and services for individuals, groups, organizations, and communities. To increase awareness and readership, THCI is still freely available to everyone during its initial years of publishing. You can find information related to all aspects of THCI at its website (http://aisel.aisnet.org/), including how to submit. We would like to thank AIS <http://home.aisnet.org/> Council for its continued support of the journal. And, as always, we are happy to announce that we have published the journal on time for every issue, and are building a strong case for a solid impact factor when released by SSCI and Scopus in the near future. Topics of interest to THCI include but are not limited to the following: * The behavioral, cognitive, motivational and affective aspects of human and technology interaction * User task analysis and modeling; fit between representations and task types * Digital documents/genres; human information seeking and web navigation behaviors; human information interaction; information visualization * Social media; social computing; virtual communities * Behavioral information security and information assurance; privacy and trust in human technology interaction * User interface design and evaluation for various applications in business, managerial, organizational, educational, social, cultural, non-work, and other domains * Integrated and/or innovative approaches, guidelines, and standards or metrics for human centered analysis, design, construction, evaluation, and use of interactive devices and information systems * Information systems usability engineering; universal usability * The impact of interfaces/information technology on people's attitude, behavior, performance, perception, and productivity * Implications and consequences of technological change on individuals, groups, society, and socio-technical units * Software learning and training issues such as perceptual, cognitive, and motivational aspects of learning * Gender and information technology * The elderly, the young, and special needs populations for new applications, modalities, and multimedia interaction * Issues in HCI education The language for the journal is English. The audience includes international scholars and practitioners who conduct research on issues related to the objectives of the journal. The publication frequency is quarterly: 4 issues per year to be published in March, June, September, and December. The AIS Special Interest Group on Human-Computer Interaction (SIGHCI, http://sigs.aisnet.org/SIGHCI/) is the official sponsor of THCI. ==================================================================== Please visit the links above or the links from our AIS THCI page (http://aisel.aisnet.org/thci/) for details on any current or emerging special issue calls that will be announced in the future. Please keep checking our home page to see what is brewing! If you have an idea for a special issue, please drop us a line any time. Sincerely, Dennis Galletta and Paul Benjamin Lowry, co-Editors in Chief Gregory D. Moody, Managing Editor _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] IEEE COMPSAC 2019: Call For Papers - Submission Deadline January 21, 2019
by Gustaf Neumann 23 Dec '18

23 Dec '18

-------- Forwarded Message -------- Subject: [AISWorld] IEEE COMPSAC 2019: Call For Papers - Submission Deadline January 21, 2019 Date: Sun, 23 Dec 2018 15:36:19 +0000 From: Hossain Shahriar <hshahria(a)kennesaw.edu> To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org> [Apologies if you receive multiple copies of this CFP] ******CALL FOR PAPERS***** IEEE COMPSAC 2019 Hosted by Marquette University, Milwaukee, Wisconsin, USA July 15-19, 2019 Data-Driven Intelligence for a Smarter World FOR FULL CFP, PLEASE VISIT HTTPS://IEEECOMPSAC.COMPUTER.ORG/2019 COMPSAC is the IEEE Computer Society Signature Conference on Computers, Software and Applications. It is a major international forum for academia, industry, and government to discuss research results and advancements, emerging challenges, and future trends in computer and software technologies and applications. The theme of COMPSAC 2019 is Data-Driven Intelligence for a Smarter World. In the era of “big data” there is an unprecedented increase in the amount of data collected in data warehouses. Extracting meaning and knowledge from these data is crucial for governments and businesses to support their strategic and tactical decision making. Furthermore, artificial intelligence (AI) and machine learning (ML) makes it possible for machines, processing large amounts of such data, to learn and execute tasks never before accomplished. Advances in big data-related technologies are increasing rapidly. For example, virtual assistants, smart cars, and smart home devices in the emerging Internet of Things world, can, we think, make our lives easier. But despite perceived benefits of these technologies/methodologies, there are many challenges ahead. What will be the social, cultural, and economic challenges arising from these developments? What are the technical issue related, for example, to the privacy and security of data used by AI/ML systems? How might humans interact with, rely on, or even trust AI predictions or decisions emanating from these technologies? How can we prevent such data-driven intelligence from being used to make malicious decisions? COMPSAC 2019, organized as a tightly integrated union of symposia, will focus on technical aspects related these kinds of issues as part of the ”Intelligence” theme of the conference. The technical program will include keynote addresses, research papers, industrial case studies, fast abstracts, a doctoral symposium, poster sessions, and workshops and tutorials on emerging and important topics related to the conference theme. Highlights of the conference will include plenary and specialized panels that will address the technical challenges facing technologists who are developing and deploying these data-driven intelligent systems and applications. Panels will also address cultural and societal challenges for a society whose members must continue to learn to live, work, and play in the environments the technologies produce. Authors are invited to submit original, unpublished research work, as well as industrial practice reports. Simultaneous submission to other publication venues is not permitted except as highlighted at the COMPSAC 2019 J1C2 & C1J2 page. All submissions must adhere to IEEE Publishing Policies, and all will be vetted through the IEEE CrossCheck portal. *****INFORMATION FOR AUTHORS***** Authors are invited to submit original, unpublished research work, as well as industrial practice reports. Simultaneous submission to other publication venues is not permitted except as highlighted at the COMPSAC 2019 J1C2 & C1J2 webpage. In accordance with IEEE policy, submitted manuscripts will be checked for plagiarism. Instances of alleged misconduct will be handled according to the IEEE Publication Services and Product Board Operations Manual. Please note that in order to ensure the fairness of the review process, COMPSAC follows the double-blind review procedure. Therefore we kindly ask authors to remove their names, affiliations and contacts from the header of their papers in the review version. Please also redact all references to authors’ names, affiliations or prior works from the paper when submitting papers for review. Once accepted, authors can then include their names, affiliations and contacts in the camera-ready revision of the paper, and put the references to their prior works back. *****FORMATTING***** Page limits are inclusive of tables, figures, appendices, and references. Full conference papers: 10 pages Industrial Practice Reports: 10 pages Short Papers: 6 pages Workshop Papers: 6 pages Fast Abstracts: 2 pages Student Research Symposium papers: 4 pages Posters: 1 page *****IMPORTANT DATES***** January 21, 2019: Abstracts and full papers due April 7, 2019: Paper notifications April 15, 2019: Workshop papers due May 1, 2019: Workshop papers notifications May 17, 2019 – Camera ready submissions and advance author registration due _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Special Issue on Big Data Analytics for Sustainability in Information & Management
by Gustaf Neumann 23 Dec '18

23 Dec '18

-------- Forwarded Message -------- Subject: [AISWorld] Special Issue on Big Data Analytics for Sustainability in Information & Management Date: Sun, 23 Dec 2018 21:44:47 +0800 From: Yue Guo <yueggcn(a)aliyun.com> Reply-To: Yue Guo <yueggcn(a)aliyun.com> To: aisworld <aisworld(a)lists.aisnet.org> Special Issue on Big Data Analytics for Sustainability in Information & Management https://www.journals.elsevier.com/information-and-management/call-for-paper… Uneven economic development, mass consumerism and unreasonable natural or human resource utilization can lead to significant deleterious outcomes, including problems such as pollution, climate change, transportation disorder, social injustice, discrimination, crime, unfair competition, and resource deficiency. Sustainability is a paradigm for deliberating about the future in which environmental, societal and economic considerations are all balanced in the pursuit of our improved existence. Data-driven analytics has extensively penetrated both academic and practical spheres. By harnessing its power in processing large volumes of information, data analytics techniques help people to discover undiscovered links and make better decisions. Predictive techniques, such as those of machine learning (including artificial intelligence and deep learning), can help to guide us in solving future as well as current problems. Econometric techniques (including difference-in-differences, instrumental variables, matching techniques) allow us to learn causal relationships and their underlying mechanisms in large scale observational data that span across periods of time. However, as yet, insufficient effort has been invested into applying these techniques to the emerging set of problems regarding sustainability. The focus of this special issue is the application of data analytics to understand better sustainability issues, and to inform stakeholders of possible solutions. Large scale data’s potential impact on alleviating sustainability issues hinges on several aspects. First, interactions between people, resources, ecosystems and climate can be analysed using data gathered from society and the environment. Second, interactions between consumers, companies, suppliers and markets can be optimized for sustainable development. Third, the inter-related impacts that the business world and natural world have on each other also need to be further investigated. This special issue focuses on high quality, up-to-date technologies and solutions related to data analytics for sustainability. To our knowledge, it is the first special issue of its kind focusing on these converging topics. We aim to serve as a special issue for researchers all over the world to discuss their current work and recent advances in this field. Both theoretical studies and state-of-the-art practical applications are welcomed for submission. All submitted papers will be thoroughly peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue. Papers invited for revision will be invited to present their research at a conference held at King’s College London in June 2019. The list of possible topics for this special issue includes, but is not limited to: 1. The impacts of business operations on society and the environment using fine-grained data. 2. Data analytics for equality, diversity and consumer protection. 3. Data analytics for improving health outcomes. 4. Data analytics for environmentally sustainable transportation systems. 5. Data analytics to achieve conformity to governmental regimes. 6. The application of data analytics for assessing environmental risks. 7. Data analytics for information security and resilience. 8. Data analytics for the circular economy. 9. The juxtaposition of data analytics in government and sustainability regulation. 10. Data analytics for smart cities and homes. 11. Social networks, online sharing and data analytics. 12. Data analytics for economic growth, employment and income opportunities. 13. Data analytics for democracy, social justice/inclusion, and crime fighting. 14. Big data driven approaches to collect and analyze large volumes of information from emerging technologies (e.g., IoT, remote sensors, wireless sensor networks, RFIDs, mobile) Proposed Dates Submission Deadline: 1st March 2019 Invitation to Revise Paper for Special Issue: 1st June 2019 Deadline for Revised Paper: 1st September 2019 Final Decision on Acceptance: 1st December 2019 Publication: 1st March 2020 All the best Dr Yue Guo Guest Editor _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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