Cfp May 2020

cfp@alice.wu.ac.at

1 participants
100 discussions

Fwd: [WI] FCA4AI at ECAI 2020 - New dates
by Gustaf Neumann 21 May '20

21 May '20

-------- Forwarded Message -------- Subject: [WI] FCA4AI at ECAI 2020 - New dates Date: Wed, 20 May 2020 23:00:18 +0200 (CEST) From: Amedeo Napoli <amedeo.napoli(a)loria.fr> Reply-To: Amedeo Napoli <amedeo.napoli(a)loria.fr> To: Sergei Kuznetsov <skuznetsov(a)yandex.ru>, Sebastian Rudolph <sebastian.rudolph(a)tu-dresden.de>, Amedeo Napoli <amedeo.napoli(a)loria.fr> =========================================================================== -- FCA4AI (Eighth Edition) -- What can FCA do for Artificial Intelligence? co-located with ECAI 2020, Santiago de Compostela, Spain August 30 2020 http://www.fca4ai.hse.ru/2020 =========================================================================== Note about the organization of the FCA4AI 2020 workshop: At the moment we do not know whether the ECAI Conference will go virtual or not. In any case, the FCA4AI 2020 workshop will run as smoothly and as lively as possible. The aim is to gather the FCA4AI community and to allow every potential author or interested researcher to attend the workshop either locally or remotely. General Information about FCA4AI 2020. The preceding editions of the FCA4AI Workshop (from ECAI 2012 until IJCAI 2019) showed that many researchers working in Artificial Intelligence are indeed interested by powerful techniques for classification and data mining provided by Formal Concept Analysis. Again, we have the chance to organize a new edition of the workshop in Santiago de Compostela, co-located with the ECAI 2020 Conference. Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. FCA allows one to build a concept lattice and a system of dependencies (implications and association rules) which can be used for many AI needs, e.g. knowledge processing, knowledge discovery, knowledge representation and reasoning, ontology engineering as well as information retrieval, recommendation, social network analysis and text processing. Thus, there are many ``natural links'' between FCA and AI. Recent years have been witnessing increased scientific activity around FCA, in particular a strand of work emerged that is aimed at extending the possibilities of plain FCA w.r.t. knowledge processing, such as work on pattern structures and relational context analysis, as well as on hybridization with other formalisms. These extensions are aimed at allowing FCA to deal with more complex than just binary data, for solving complex problems in data analysis, classification, knowledge processing... While the capabilities of FCA are extended, new possibilities are arising in the framework of FCA. As usual, the FCA4AI workshop is dedicated to discuss such issues, and in particular: - How can FCA support AI activities in knowledge discovery, knowledge representation and reasoning, machine learning, natural language processing... - By contrast, how the current developments in AI can be integrated within FCA to help AI researchers to solve complex problems in their domain. TOPICS OF INTEREST include but are not limited to: - Concept lattices and related structures: description logics, pattern structures, relational structures. - Knowledge discovery and data mining with FCA: association rules, itemsets and data dependencies, attribute implications, dimensionality reduction, classification, clustering, and biclustering. - Pattern mining, subgroup discovery, exceptional model mining, interestingness measures, MDL-based approaches in data mining. - Machine learning and hybridization: neural networks, random forests, SVM, and combination of classifiers with FCA. - Knowledge engineering, knowledge representation and reasoning, and ontology engineering. - Scalable and distributed algorithms for FCA and artificial intelligence, and for mining big data. - AI tasks based on FCA: information retrieval, recommendation, social network analysis, data visualization and navigation, pattern recognition... - Practical applications in agronomy, biology, chemistry, finance, manufacturing, medicine... The workshop will include time for audience discussion for having a better understanding of the issues, challenges, and ideas being presented. IMPORTANT DATES: Submission deadline: June 21 2020 Notification to authors: July 20 2020 Final version: August 03 2020 Workshop: August 30 2020 SUBMISSION DETAILS: The workshop welcomes submissions in pdf format in Springer's LNCS style. Submissions can be: - technical papers not exceeding 12 pages, - system descriptions or position papers on work in progress not exceeding 6 pages. Submissions are via EasyChair at https://easychair.org/conferences/?conf=fca4ai2020 The workshop proceedings will be published as CEUR proceedings (see preceding editions in CEUR Proceedings Vol-2529, Vol-2149, Vol-1703, Vol-1430, Vol-1257, Vol-1058, and Vol-939). WORKSHOP CHAIRS: Sergei O. Kuznetsov National Research University Higher Schools of Economics, Moscow, Russia Amedeo Napoli Université de Lorraine, CNRS, Inria, LORIA, Nancy, France Sebastian Rudolph Technische Universität Dresden, Germany PROGRAM COMMITTEE (under construction) =========================================================================== -- 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] CfP Seniors' Use of Digital Resources - HICSS-54: January 5-8, 2021, Kauai, Hawaii
by Gustaf Neumann 21 May '20

21 May '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP Seniors' Use of Digital Resources - HICSS-54: January 5-8, 2021, Kauai, Hawaii Date: Thu, 21 May 2020 13:58:31 +0000 From: Gewald, Heiko Professor Dr. <Heiko.Gewald(a)hnu.de> To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org> Dear colleagues, as you may have read today: HICSS 54 is scheduled to be held at the original dates on Kauai. So get your awesome research ready and submit it to our track! You go a month longer to do so: New submission deadline: July 15th 2020! We invite papers that address the grand challenges ahead by providing insights (IS Research) and suggesting innovative solutions (Design Science Research). How can digital resources, including electronic health (eHealth) and mobile health (mHealth) be used to help to provide health and wellness related services for the aging generation? The minitrack is open to a broad variety of research, conceptual or empirical. Topics of interest include (but are not limited to): * Age-related digital divide in the IS discipline * Age-related roles and stereotypes with respect to technology * Specific IT/IS-adoption patterns of the elderly * Online and mobile health platforms and communities for seniors * The impact of e- and m-health, virtual communities, and social media on the well-being of seniors * Theories and research frameworks for investigating age-related IS phenomena * Methodological challenges of investigating elderly people’s technology usage * Impact of technology training on technology adoption and usage * Effective design of technology for elderly people * Factors influencing technology/e-health/m-health adoption and usage of seniors * Technology design factors influencing technology adoption and diffusion by seniors * Computer and Internet self-efficacy of seniors * Technostress of elderly people * Success factors, barriers and risks of technology adoption by seniors * Understanding of elderly people’s technology needs and requirements * User interface design, usability and accessibility issues * Integration of elderly people in the design of technology * Visions for future technologies for seniors * Meta-analyses and meta-syntheses of research on elderly people in various IS phenomena * Novel and innovative research on technology for seniors * Trust and distrust of elderly people in e- and m-health * Changes in personality characteristics and its impact on adoption of technology July 15, 2020: Paper Submission Deadline (11:59 pm HST) August 17, 2020: Notification of Acceptance/Rejection We are looking forward to meeting you on Kauai Karoly, Doug & Heiko --------------- Prof. Dr. Heiko Gewald - Research Professor of Information Management - Honorary Professor, Macquarie University, Sydney, Australia - Director of CROSS - Center for Research on Service Sciences Neu-Ulm University of Applied Sciences (HNU) Wileystr. 1 89231 Neu-Ulm Germany Mail: heiko.gewald(a)hnu.de<mailto:heiko.gewald@hnu.de> Member of the Editorial Board of Health Policy and Technology Member of the Editorial Advisory Board for the Journal of Global Operations and Strategic Sourcing _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] IEEE ICDM 2020 - Call for Workshop Papers (deadline Aug 24)
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [AISWorld] IEEE ICDM 2020 - Call for Workshop Papers (deadline Aug 24) Date: Wed, 20 May 2020 14:25:13 -0500 From: Carson Leung (IEEE ICDM 2020) <icdm(a)cs.umanitoba.ca> To: aisworld(a)lists.aisnet.org IEEE ICDM 2020 - Call for Workshop Papers (deadline Aug 24) ICDM 2020: 20th IEEE International Conference on Data Mining November 17-20, 2020, Sorrento, Italy http://icdm2020.bigke.org/ The safety and well-being of all conference participants is our priority. We closely monitor the current COVID-19 situation. Depending on the situation, we will have the conference either as planned in Sorrento, Italy or as an online event. In any case, all deadlines and the conference dates remain the same. The Program Chairs and other organizers will post more information as soon as possible. AIMS AND SCOPE The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, and applications. ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as big data, deep learning, pattern recognition, statistical and machine learning,databases, data warehousing, data visualization, knowledge-based systems, and high-performance computing. By promoting novel, high-quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to advance the state-of-the-art in data mining. ACCEPTED WORKSHOPS SENTIRE: Sentiment Elicitation from Natural Text for Information Retrieval and Extraction - Erik Cambria <cambria(a)ntu.edu.sg> DMS: Data Mining for Service - Katsutoshi Yada <kansai-u.ac.jp> NeuRec: Advanced Neural Algorithms and Theories for Recommender Systems - Shoujin Wang <shoujinwang(a)foxmail.com> OEDM: Optimization Based Techniques for Emerging Data Mining - Shi Yong < yshi(a)ucas.ac.cn> LITSA: Large-scale Industrial Time Series Analysis - Florent Forest < forest(a)lipn.univ-paris13.fr> HDM: High Dimensional Data Mining - Ata Kaban <A.Kaban(a)cs.bham.ac.uk> TEAAM: Transparent, Explainable and Affective Data Mining in Medical Systems - Slawomir Nowaczyk <Slawomir.Nowaczyk(a)hh.se>> DL-IoT: Deep Learning for Internet of Things - Yunji Liang < liangyunji(a)nwpu.edu.cn> DDIF: Deep Data Intelligence for Finance - Fuxiang Chen <cfuxiang(a)gmail.com> CLEATED: Continual Learning and Adaptation for Time Evolving Data - Yun Sing <y.koh(a)auckland.ac.nz> DLC: Deep learning and clustering - Lazhar Labiod <l.labiod(a)gmail.com> DL-CTI: Deep Learning for Cyber Threat Intelligence - Hsinchun Chen (Riley McIsaac) <hsinchun(a)email.arizona.edu> MSDM: Multi-source data mining - Armelle Brun <armelle.brun(a)loria.fr> BDA: Blockchain Data Analytics - Cuneyt Gurcan Akcora < cuneyt.akcora(a)umanitoba.ca> MLCS: Multilingual Cognitive Services - Yihong Theis <yihong(a)ksu.edu> IMAGINE: Interpretable Machine leArninG models for bio and chemoINformatics and medicine - Rui Camacho <rcamacho(a)fe.up.pt> DMBIH: Data Mining in Biomedical Informatics and Healthcare - Mohammad-Reza Siadat <siadat(a)oakland.edu> UDML: Utility Driven Mining and Learning - Vincent S. Tseng < vtseng(a)cs.nctu.edu.tw> BigData4SmartEnergy: Big Data Analysis for Smart Energy - Ho-Jin Choi < hojinc(a)kaist.ac.kr> DHA: Data Mining for Healthy Aging - Reynold CS <ckcheng(a)cs.hku.hk> MLLD: Mining and Learning in the Legal Domain - Shohreh Shaghaghian < shohreh.shaghaghian(a)thomsonreuters.com> SSTDM: Spatial and Spatio-Temporal Data Mining - Ranga Raju Vatsavai < rrvatsav(a)ncsu.edu> IncrLearn: Incremental classification and clustering, concept drift, novelty detection in big/fast data context - Jean-Charles Lamirel < lamirel(a)loria.fr> DM-HT-D: Novel Data Mining Methods for the Analysis of High-Throughput Biological Data - Giuseppe Agapito <agapito(a)unicz.it> DMESS: Data Mining in Earth System Science - Forrest M. Hoffman < forrest(a)climatemodeling.org> BSDM: Blockchain Systems for Decentralized Mining - Qiang Qu < qiang(a)siat.ac.cn> DLKT: Deep Learning for Knowledge Transfer - Fuzhen Zhuang < zhuangfuzhen(a)ict.ac.cn> PMC: Privacy Management in the Cyberspace - Mahmoud Barhamgi < mahmoud.barhamgi(a)univ-lyon1.fr> SUBMISSION GUIDELINES Paper submissions should be limited to a maximum of eight (8) pages, in the IEEE 2-column format ( https://www.ieee.org/conferences/publishing/templates.html), including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity. The following sections give further information for authors. Triple blind submission guidelines Since 2011, ICDM has imposed a triple blind submission and review policy for all submissions. Authors must hence not use identifying information in the text of the paper and bibliographies must be referenced to preserve anonymity. Any papers available on the Web (including Arxiv) no longer qualify for ICDM submissions, as their author information is already public. What is triple blind reviewing? The traditional blind paper submission hides the referee names from the authors, and the double-blind paper submission also hides the author names from the referees. The triple-blind reviewing further hides the referee names among referees during paper discussions before their acceptance decisions. The names of authors and referees remain known only to the PC Co-Chairs, and the author names are disclosed only after the ranking and acceptance of submissions are finalized. It is imperative that all authors of ICDM submissions conceal their identity and affiliation information in their paper submissions. It does not suffice to simply remove the author names and affiliations from the first page, but also in the content of each paper submission. How to prepare your submissions The authors shall omit their names from the submission. For formatting templates with author and institution information, simply replace all these information items in the template by "Anonymous". In the submission, the authors should refer to their own prior work like the prior work of any other author, and include all relevant citations. This can be done either by referring to their prior work in the third person or referencing papers generically. For example, if your name is Smith and you have worked on clustering, instead of saying "We extend our earlier work on distance-based clustering (Smith 2005)," you might say "We extend Smith's earlier work (Smith 2005) on distance-based clustering." The authors shall exclude citations to their own work which is not fundamental to understanding the paper, including prior versions (e.g., technical reports, unpublished internal documents) of the submitted paper. Hence, do not write: "In our previous work [3]" as it reveals that citation 3 is written by the current authors. The authors shall remove mention of funding sources, personal acknowledgments, and other such auxiliary information that could be related to their identities. These can be reinstituted in the camera-ready copy once the paper is accepted for publication. The authors shall make statements on well-known or unique systems that identify an author, as vague in respect to identifying the authors as possible. The submitted files shall be named with care to ensure that author anonymity is not compromised by the file names. For example, do not name your submission "Smith.pdf", instead give it a name that is descriptive of the title of your paper, such as "ANewApproachtoClustering.pdf" (or a shorter version of the same). Algorithms and resources used in a paper should be described as completely as possible to allow reproducibility. This includes experimental methodology, empirical evaluations, and results. Authors are strongly encouraged to make their code and data publicly available whenever possible. In addition, authors are strongly encouraged to also report, whenever possible, results for their methods on publicly available datasets. Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. There is no separate abstract submission step. There are no separate industrial, application, short paper or poster tracks during submission. Manuscripts must be submitted electronically in online submission system ( http://wi-lab.com/cyberchair/2020/icdm20/scripts/ws_submit.php?subarea=S). We do not accept email submissions. ATTENDANCE ICDM is a premier forum for presenting and discussing current research in data mining. Therefore, at least one author of each accepted paper must complete the conference registration and present the paper at the conference, in order for the paper to be included in the proceedings and conference program. All deadlines are at 11:59PM Pacific Daylight Time. * Workshop paper submissions: August 24, 2020 * Workshop paper notification: September 17, 2020 * Camera-ready deadline and copyright forms: September 24, 2020 * Conference dates: November 17-20, 2020 WORKSHOP CHAIRS * Giuseppe Di Fatta, University of Reading, UK * Victor Sheng, Texas Tech University, USA PUBLICITY CHAIRS * Ting Bai, Beijing University of Posts and Telecommunications, China * Carson K. Leung, University of Manitoba, Canada * Washio Takashi, Osaka University, Japan MORE INFORMATION More information about ICDM 2020: http://icdm2020.bigke.org/ Email: icdm2020chairs(a)gamil.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CFP TIME-2020 - new deadline
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [WI] CFP TIME-2020 - new deadline Date: Wed, 20 May 2020 19:39:25 +0200 From: Enrico Franconi <franconi(a)inf.unibz.it> Reply-To: Enrico Franconi <franconi(a)inf.unibz.it> To: wi(a)aifb.uni-karlsruhe.de [Apologies for cross-posting] *New Submission Deadline* - Paper Submission deadline: May 24th, 2020 ================= 3rd CALL FOR PAPERS - TIME 2020 ============= *27th International Symposium on Temporal Representation and Reasoning* Bozen-Bolzano (Italy), 23th-25th September 2020 https://time2020.inf.unibz.it/ Co-Located with the Bolzano Summer of Knowledge 2020 https://summerofknowledge.inf.unibz.it/ ==================================================== Foremost, the TIME 2020 organizing committee hopes you are all in good health! We announce that TIME 2020, co-located with BOSK 2020, will allow for virtual attendance. Thus, the paper submission and the selection process will run just as expected, and physical participation in the symposium will not be a prerequisite for publication. Whether the symposium will allow also a physical attendance will be decided in the coming weeks together with the BOSK 2020 organizers. Reduced registration fees will be allowed for virtual participants. We thuswarmly invite you all again to submit your papers to TIME 2020. STAY SAFE! Invited Speakers ---------------- Clare Dixon (University of Liverpool, UK) Pedro Cabalar (University of Corunna, Spain) Johann Eder (Alpen-Adria Universität Klagenfurt, Austria) Aims & Scope ------------ Since 1994, the TIME International Symposium on Temporal Representation and Reasoning aims to bring together researchers in the area of temporal reasoning in Computer Science. TIME 2020 encompasses three tracks, but has a single program committee. The conference will be organized as a combination of technical paper presentations, keynote talks, and tutorials. Tracks ------ - Time in Artificial Intelligence - Temporal Databases - Temporal Logic and Reasoning Following a long-standing tradition, submission topics include (but are no limited to): - Temporal aspects of agent and policy-based systems - Spatial and temporal reasoning- Time in natural language processing - Spatio-temporal knowledge representation systems - Reasoning about actions and change - Planning and planning languages - Ontologies of time and space-time - Belief and uncertainty in temporal knowledge - Temporal learning and discovery - Temporal data models and query languages - Temporal query processing and indexing - Temporal data mining - Time series data management - Stream data management - Spatio-temporal data management, including moving objects - Data currency and expiration - Indeterminate and imprecise temporal data - Temporal constraints - Specification and verification of systems - Verification of web applications - Synthesis and execution - Model-checking algorithms and implementations - Verification of infinite-state systems - Reasoning about transition systems - Other aspects of temporal architectures Submission & Publication ---------------------------- TIME 2020 accepts submissions in PDF format, not longer than 12 pages excluding references and appendix. The appendix is limited to 5 pages, and the reviewers may or may not take it into account for their recommendation. Submissions must be formatted following the LIPIcs instructions (https://submission.dagstuhl.de/documentation/authors), and preferably redacted in LaTex. Submissions are managed by EasyChair: https://easychair.org/my/conference?conf=time2020. TIME policy is single-blind, so the names of the authors should not be hidden in the submitted draft. Members of the program committee, excluding the co-chairs, are allowed to submit papers. Submitted papers will be refereed for quality, correctness, originality, and relevance to the conference. Submissions to TIME 2020 must be original, and parallel submissions of the same material to other conferences or journals are not allowed. Accepted papers will be presented at the symposium and included in the proceedings, which will be published by LIPIcs-Leibniz International Proceedings in Informatics (https://www.dagstuhl.de/en/publications/lipics/). This is a series of high-quality peer-reviewed conference proceedings and published according to the principle of OpenAccess. At least one author of each accepted paper must register at the conference and present the paper. Authors of selected papers will be invited to submit an extended version of their contribution to a special issue of a high-quality journal yet to be decided. Important Dates (New Submission) ----------------------------------------------- - Papers due (abstracts & full-texts): May 24th, 2020 - Notification: June 21th, 2020 - Final camera-ready version: July 5th, 2020 - Early bird registration: July 26th, 2020 - Conference: September 23th-25th, 2020 Program Committee Chairs ------------------------------ Emilio Muñoz-Velasco (University of Málaga) Ana Ozaki (Free University of Bozen-Bolzano) Martin Theobald (University of Luxembourg) Program Committee ------------------ Alexander Artikis (NCSR Demokritos – Athens) Klaus Berberich (Saarland University of Applied Sciences) Camille Bourgaux (CNRS – Ecole Normale Supérieure) Panagiotis Bouros (University of Mainz) Anton Dignoes (Free University of Bozen-Bolzano) Clare Dixon (University of Liverpool) Johann Gamper (Free University of Bozen-Bolzano) Rajeev Gore (Australian National University – ANU) Víctor Gutiérrez-Basulto (Cardiff University) Fredrik Heintz (Linköping University) Jean Christoph Jung (University of Bremen) Roman Kontchakov (Birkbeck, University of London) Marco Montali (Free University of Bozen-Bolzano) Cláudia Nalon (University of Brasilia) Daniel Neider (Max Planck Institute) Kjetil Nørvåg (University of Trondheim) Manuel Ojeda-Aciego (Universidad de Málaga) Hector Pomares (Universidad de Granada) Dimitris Sacharidis (Technical University of Vienna) Stephan Schlüter (Technische Hochschule Ulm) Guido Sciavicco (University of Ferrara) Local Chairs ------------ Alessandro Artale (Free University of Bozen-Bolzano) artale(a)inf.unibz.it Johann Gamper (Free University of Bozen-Bolzano) gamper(a)inf.unibz.it General contact for all inquiries concerning the conference: time2020(a)unibz.it -- 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] Call for contributions - 7th International Conference on Animal-Computer Interaction (ACI2020)
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for contributions - 7th International Conference on Animal-Computer Interaction (ACI2020) Date: Wed, 20 May 2020 18:00:14 +0100 From: Dirk van der Linden <djt.vanderlinden(a)gmail.com> To: aisworld(a)lists.aisnet.org CALL FOR CONTRIBUTIONS ACI2020: the 7th International Conference on Animal-Computer Interaction 10-12 November, Milton Keynes, UK In co-operation with ACM (Association for Computing Machinery) and SIGCHI (Special interest Group on Computer-Human Interaction) www.aciconf.org #aci2020conf <https://twitter.com/search?q=%23aciconf2020> ABOUT ACI is the main International Conference on Animal-Computer Interaction. It is a highly multidisciplinary event drawing researchers and practitioners from the most diverse backgrounds to share and discuss work and topics related to the research and design of technology for and with animals. COVID-19 update Due to the ongoing pandemic, it will be possible to register to attend the conference virtually for a reduced fee (go to http://www.aciconf.org/aci2020/attendees for more details). Submission deadlines for all tracks remain unchanged, but for papers and workshops the submission requirements have changed to ensure that authors can submit their work and present it at the conference in spite of the disruption caused by the pandemic (follow the links below to see the submission and presentation requirements for each track). SUBMISSION DATES - Full and short papers <http://www.aciconf.org/aci2020/authors/papers> May 31, 2020 (extended abstracts) - Workshop proposals <http://www.aciconf.org/aci2020/authors/workshops> May 31, 2020 (physical and virtual events) - Videoposters and demos <http://www.aciconf.org/aci2020/authors/videopostersdemos> August 14, 2020 (abstracts and videos) - Doctoral consortium <http://www.aciconf.org/aci2020/authors/doctoralconsortium%3E%20(submission%…> August 21, 2020 (abstracts and letters) All submissions will undergo a double blind review and will be selected based on the quality of their contribution. Each submission will be reviewed by a minimum of 3 reviewers drawn from the program committee and from a panel of domain experts. Accepted papers will be published in the ACI2020 Conference Proceedings Volume which will be *published in the ACM Digital Library*. The ACI2020 submission portal <https://new.precisionconference.com/submissions> is now open. When you get there, under the 'Society' menu choose SIGCHI, then under the 'Conference/Journal' menu choose ACI2020 and the appropriate track for your submission. THEME & TOPICS This year's conference theme is ‘embodied dialogues’. Although specifically focussed, the theme is very broad in the connections that can be made from multiple angles, in order to encourage engagement with and contributions to the conference from a wide range of multidisciplinary and interdisciplinary perspectives. Submissions that relate to this year's conference theme are especially welcome, but high quality submissions are welcome regardless. Topics may include (but are not limited to): - support interspecies communication - improve humans’ understanding of other animals and their needs - enable humans to take better care of other animals - support animals in activities they do for humans - reduce interspecies conflicts and the impact of human activity on animals - foster ecologically and ethically sustainable forms of interspecies interaction and cohabitation. - studying and theorizing the interaction between animals and technology in naturalistic settings - developing user-centered technology to improve animals’ welfare, support animals' activities and foster interspecies relationships - informing animal-centered approaches that enable animals to participate in the design process as stakeholders and contributors. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [computational.science] CFP: Resilience@Euro-Par 2020 - Papers due June 12 (deadline extended)
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [computational.science] CFP: Resilience@Euro-Par 2020 - Papers due June 12 (deadline extended) Date: Wed, 20 May 2020 10:18:04 -0400 (EDT) From: Thomas Naughton via computational.science <computational.science(a)lists.iccsa.org> Reply-To: Thomas Naughton <naughtont(a)ornl.gov> To: Computational Science List <computational.science(a)lists.iccsa.org> We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 13th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> in conjunction with the 26th International European Conference on Parallel and Distributed Computing (Euro-Par), Warsaw, Poland August 24 - 28, 2020 <http://2020.euro-par.org> 2020 Workshop Format: Due to the exceptional situation of COVID-19, this year Euro-Par and its workshops will be organized as an all-virtual event. This includes the main conference and workshops. The accepted workshop papers must be presented by one of the authors in order to be included in the proceedings. There will be a single minimal registration fee for each accepted paper in order to cover expenses associated with organization and proceedings publication. Only one author per paper needs to register (150 euros). Lastly, the preferred presentation format for the workshop will be via a streaming presentation, with slides and pre-recorded video presentations used in exceptional situations. Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2020 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> - Resilience 2020 Submissions: <https://easychair.org/conferences/?conf=europar2020workshop> - Euro-Par 2020 website: <http://2020.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: June 12, 2020 (extended) - Workshop author notification: July 21, 2020 - Workshop author registration: TBA - Workshop paper (for informal workshop proceedings): July 21, 2020 - Workshop date: August 24 or 25, 2020 - Workshop camera-ready papers: September 11, 2020 (after the conference) General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus: - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu Program Committee: - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - Robert Clay, Sandia National Laboratories, USA - Nathan DeBardeleben, Los Alamos National Laboratory, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, Sandia National Laboratories, USA - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany - Keita Teranishi, Sandia National Laboratories, USA _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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Fwd: [WI] CfP 1st Workshop on Trust and Privacy in Process Analytics (TPPA)
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [WI] CfP 1st Workshop on Trust and Privacy in Process Analytics (TPPA) Date: Wed, 20 May 2020 18:26:56 +0200 From: Agnes Koschmider <ak(a)informatik.uni-kiel.de> Reply-To: Agnes Koschmider <ak(a)informatik.uni-kiel.de> To: wi(a)lists.kit.edu 1st Workshop on Trust and Privacy in Process Analytics (TPPA) ICPM 2020 and the TPPA workshop will be a fully virtual conference, with no travel involved: https://tppa-workshop.github.io/2020/ ------------------------------------- Workshop description: Process mining has been successfully applied in analysing and improving processes based on event logs in all kinds of environments. However, the impact of trust and privacy on the technical design as well as the organizational application of process mining has been largely neglected. Both topics are closely related to the responsible application of data science, a topic that has gotten more attention in recent years as data-driven methods start to permeate our society. Privacy relates to the concern that event logs may contain personal data of both customers and employees and the challenge of protecting the information about individuals while still being useful for process mining (e.g., differential privacy, k-anonymity, homomorphic encryption, secure multi-party computing). Often, security aspects (e.g., encryption) are closely connected when processing personal data cannot be avoided. On the other hand, the workshop is about the concept of trust, which is required both from the perspective of trust in organisational and technological measures that event logs are not misused (e.g., for worker surveillance) as well as from the perspective of trust that the results of a process mining analysis faithfully reflect reality (e.g., data quality, traceability, auditibility). The main objective of the TPPA workshop is to give a forum for the trust and privacy aspects and responsible application of process mining. Privacy and trust are important perspectives on process mining as it gets more widely used in organizations worldwide. We invite researchers and industry to share their research, ideas, experiences, and concerns in this area. The topics of interest for tis workshop, but not limited to, are provided below. ---------------------- Workshop topics: - Privacy-preserving methods for Process Analytics (Process Mining, Data Mining, Machine Learning) - Privacy-preserving Methods for Business Process Management - Privacy and Trust for Blockchains in Business Process Management - Privacy Engineering for Event Logs - Trust in Process Analytics - Privacy and Trust in Organizational Data Collection - Analysis of GDPR Compliance with Process Analytics - Methods and Techniques for Privacy and Trust Management in Process Mining - Responsible Process Analytics - Explainable Process Analytics - Data Quality, and Traceability in Process Analytics ---------------------- Important dates: Submission of Workshop-Paper Abstracts: 18 August 2020 Submission of Workshop Papers: 25 August 2020 Workshop Day: 5 October 2020, fully virtual ---------------------- Organizing Committee: Felix Mannhardt, SINTEF/ Norwegian University of Science and Technology Agnes Koschmider, Kiel University Nathalie Baracaldo, IBM Almaden Research Center -------------------------------------------- Prof. Dr. Agnes Koschmider Christian-Albrechts-Universität zu Kiel AG Wirtschaftsinformatik (Process Analytics) Hermann-Rodewald-Str. 3 24118 Kiel Telefon: +49 431 880-6387

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Fwd: [WI] ACM RecSys 2020 4th Call for Reproducibility Papers and COVID Update
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [WI] ACM RecSys 2020 4th Call for Reproducibility Papers and COVID Update Date: Wed, 20 May 2020 13:32:38 +0000 From: flaviovdf(a)dcc.ufmg.br Reply-To: flaviovdf(a)dcc.ufmg.br To: wi(a)aifb.uni-karlsruhe.de Call for Reproducibility Papers ** IMPORTANT NOTE ** Due to concerns about COVID-19, RecSys 2020 will cancel its physical component and go fully virtual. To support authors through these stressful times, deadlines are extended. RecSys also strongly encourages the submission of algorithmic papers that repeat and analyze prior work. We distinguish between: * replicability papers, which repeat prior experiments using the original source code and datasets to show how, why, and when the methods work (or not); and * reproducibility papers, which repeat prior experiments preferably using the original source code in new contexts (e.g., different application domains and datasets, different evaluation methodologies and metrics) to further generalize and validate (or not) previous work. Submissions regarding replicability or reproducibility papers are welcome in all areas related to recommender systems (see the main track Call for Papers for a list of topics). In both replicability and reproducibility papers, we expect authors to provide all materials required for repeating the tests performed, including code, data, and clear instructions on how to run the experiments. Submissions from the same authors of the reproduced experiments will not be accepted. Each accepted paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program. Each accepted paper will also be allocated a presentation slot in a poster session to encourage discussion and follow-up between authors and attendees. REVIEW CRITERIA Both replicability and reproducibility papers will be evaluated along the following criteria: Novelty * What is new about the reproduced experiments? * Was the original work not supported from the theoretical point of view? * Were the original experiments not clear about important points or lacking confirmation for some of the original claims? * (Reproducibility papers only): Do the reproduced experiments bring more solid conclusions, with new datasets and metrics, with unbiased evaluation setups? * (Reproducibility papers only): Are there new experiments that allow for a better understanding of the impact of previous results? Impact * How important is the reproduction of the experiments to the community? * How obvious are the conclusions achieved? * Do the reproduced prior works, if validated, advance a central topic to recommender systems (a topic with a broad applicability or focused on a hot research area)? Reliability * Is the evaluation methodology in line with the research challenges addressed by the reproduced experiment? * Are the selected baselines representative of the several algorithm types and techniques available? * Is the hyperparameter tuning strategy properly described? * Are algorithms and baselines properly tuned? Availability * Are the code and datasets used to reproduce the experiments available to the reviewers at the time of review? * Is the shared material released in a permanent repository for easy access by researchers? * Are the reproduced experiments well documented, with all the details required for other researchers to reproduce the experiments, as well? * Are there discrepancies between what is described in the paper and what is available in the shared material? * Is the shared material complete with everything you need to exactly replicate the experiments? SUBMISSION GUIDELINES All submissions and reviews will be handled electronically. Papers must be submitted to PCS by 23:59, AoE (Anywhere on Earth) on June 1st, 2020. There will be no extensions to the submission deadline. Formatting. ACM is changing the archive format of its publications to separate content from presentation in the new Digital Library, enhance accessibility, and improve the flexibility and resiliency of our publications. Following the new ACM publication workflow, all authors should submit manuscripts for review in a single-column format. Paper length is suggested to range between 7 pages (for reproductions of a single algorithm) to 14 pages (for reproductions of multiple algorithms). In any case, the maximum length is 14 pages (excluding references) in the new single-column format. Instructions for Word and LaTeX authors are given below: * Microsoft Word: Write your paper using the Submission Template (Review Submission Format). Follow the embedded instructions to apply the paragraph styles to your various text elements. The text is in single-column format at this stage and no additional formatting is required at this point. * LaTeX: Please use the latest version of the Master Article Template - LaTeX to create your submission. You must use the "manuscript" option with the \documentclass[manuscript]{acmart} command to generate the output in a single-column format which is required for review. Please see the LaTeX documentation and ACM's LaTeX best practices guide for further instructions. To ensure 100% compatibility with The ACM Publishing System (TAPS), please restrict the use of packages to the whitelist of approved LaTeX packages. Authors are strongly encouraged to provide "alt text" (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author as well as it broadens the reader base for the author's work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport(a)aptaracorp.com for both LaTeX and Microsoft Word inquiries. Accepted papers will be later submitted to ACM's new production platform where authors will be able to review PDF and HTML output formats before publication. Anonymity. Papers in the reproducibility track will undergo single-blind review. It is expected that at the time of submission, code and datasets used to reproduce the experiments will be available under reasonably liberal terms and sufficiently well-documented such that reviewers may consult that documentation as they conduct their reviews. Originality. Each paper should not be previously published or accepted to any peer-reviewed journal or conference/workshop, nor currently under review elsewhere (including as another paper submission for RecSys 2020). We do not prevent authors from submitting the same paper to institutional or other preprint repositories such as arXiv.org before the reviewing process is complete, because it will place anonymity at risk. Please refer to the ACM Publishing License Agreement and Authorship Policy for further details. Plagiarism. Plagiarized papers will not be accepted for RecSys 2020. Our committees will be checking the plagiarism level of all submitted papers to ensure content originality using an automated tool. Hence, authors are advised in their own interest to use a similar tool (e.g., iThenticate, Turnitin, Viper, PlagScan, etc.) to check the plagiarism level of their manuscripts before submission. The originality report generated by the tool may also be submitted at the time of paper submission. Papers violating any of the above guidelines are subject to rejection without review. SIGCHI SUBMITTER AGREEMENT RecSys 2020 is a SIGCHI conference and making a submission to a SIGCHI conference is a serious matter. Submissions require time and effort by SIGCHI volunteers to organize and manage the reviewing process, and, if the submission is accepted, the publication and presentation process. Thus, anyone who submits to RecSys 2020 implicitly confirms the following statements: 1. I confirm that this submission is the work of myself and my co-authors. 2. I confirm that I or my co-authors hold copyright to the content, and have obtained appropriate permissions for any portions of the content that are copyrighted by others. 3. I confirm that any research reported in this submission involving human subjects has gone through the appropriate approval process at my institution. 4. I confirm that if this paper is accepted, I or one of my co-authors will attend the conference. Papers that are not presented at the conference by an author may be removed from the proceedings at the discretion of the program chairs. IMPORTANT DATES * Abstract submission deadline: May 25th, 2020 * Paper submission deadline: June 1st, 2020 * Author notification: July 22nd, 2020 * Camera-ready version deadline: August 10th, 2020 Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone. REPRODUCIBILITY CHAIRS * Paolo Cremonesi, Politecnico di Milano, Italy * Alan Said, University of Gothenburg, Sweden -- 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] 2nd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [AISWorld] 2nd Call For Book Chapters: Handbook of Research on Intelligent Analytics with Multi-Industry Applications Date: Wed, 20 May 2020 16:07:56 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications EDITED BY PROF. DR. ZHAOHAO SUN TO BE PUBLISHED BY IGI Global, USA https://www.igi-global.com/publish/call-for-papers/call-details/4539 or http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=96711 or https://www.researchgate.net/project/Intelligent-Analytics-with-Applications Introduction Intelligent analytics is an emerging scientific paradigm that integrates big data/information/knowledge/wisdom, analytics and artificial intelligence (AI) to provide smart services to our work, business, life, industry and society. From a fundamental perspective, intelligent analytics at least includes intelligent big data analytics, intelligent big information analytics, intelligent big knowledge analytics, intelligent big wisdom analytics. Intelligent analytics has been revolutionizing our work, life, business, management, organization and industry. It becomes disruptive technology for healthcare, web services, service computing, cloud computing, 5G development, blockchain and social networking computing. However, many fundamental, technological and managerial issues in developing and applying intelligent analytics with multi-industry applications remain open. For example, what is the foundation of intelligent analytics? what are the elements of intelligent analytics? What are the real big characteristics of intelligent analytics? How can apply intelligent analytics to improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation and industries? What is the effect of intelligent analytics on business, management, the Internet of things, cloud computing, blockchain, service and society? This book will address these issues by exploring the cutting-edge theory, technologies and methodologies of intelligent analytics with multi-industry applications and emphasize integration of AI, business intelligence, big data/information/knowledge/wisdom, and analytics from a perspective of computing, service and management. This book also provides applications of the proposed theory, technologies and methodologies of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud and service) commerce and services, healthcare, the Internet of things, sharing economy, cloud computing, blockchain, and Industry 4.0 in the real world. This book titled “Intelligent Analytics with Multi-industry Applications” is the first book to reveal the cutting-edge theory, technologies, methodologies of intelligent analytics with applications. This is also the first book demonstrating that intelligent analytics is an important enabler for developing cloud computing, 5G, blockchains, digital transformation, business, management, governance and services in multi-industry applications. The proposed approaches will facilitate research, development and applications of intelligent analytics, big data/information/knowledge/wisdom analytics, data science, digital transformation, e-business and web service, service computing, cloud computing and social computing. Aims, Scope and Target Audience This book’s primary aim is to convey the foundations, technologies, thoughts, and methods of intelligent analytics with multi-industry applications to scientists, engineers, educators and university students, business, service and management professionals, policy makers and decision makers and others who have interest in big data, big information, big knowledge and big intelligence and wisdom, intelligent analytics, AI, cloud computing, the Internet of things (IoT), digital transformation, SMACS intelligence and computing, commerce and service as well as data science, information science, and knowledge science. Primary audiences for this book are undergraduate, postgraduate students and variety of professionals in the fields of big data, data science, information science and technology, knowledge technology and engineering, intelligence science, analytics, AI, computing, commerce, business, services, management and government. The variety of readers in the fields of government, consulting, marketing, business and trade as well as the readers from all the social strata can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies and applications of intelligent analytics with applications. Papers as book chapters of all theoretical and technological approaches, and applications of intelligent analytics are welcome. Submissions that cross multiple disciplines such as management, service, business, artificial intelligence, intelligent systems, data science, optimization, statistics, information systems, decision sciences, and industries to develop theory and provide technologies and applications that could move theory and practice forward in intelligent analytics, are especially encouraged. Topics Topics of contributions to this book include four parts: foundations, technologies, applications and emerging technologies and applications of intelligent analytics as follows. Part I. Foundations of intelligent analytics Topics: fundamental concepts, models/architectures, frameworks/schemes or foundations for developing, operating, evaluating, managing intelligent analytics. The following topics might also include, but not limited to. • Intelligent analytics as a Science and Technology (IAaaST) • Big Data science • Big Data intelligence • Intelligent Analytics for big data, information, knowledge, intelligence and wisdom • Intelligent analytics in business ecosystems • Decision science for intelligent analytics • Computing and foundations of intelligent analytics • New computational models for Big Data • Mathematical fundamentals of intelligent Big Data analytics • Fuzzy logic approach to intelligent analytics • Graph theory for intelligent analytics • ICT fundamentals for analytics • Intelligent visualization techniques for analytics • Statistical modelling for intelligent analytics • Machine learning for intelligent analytics • Optimization techniques for intelligent analytics • Data mining for intelligent analytics • Business models for intelligent analytics • Real-time algorithms for intelligent analytics • Computing thinking for intelligent analytics Part II. Technologies for intelligent analytics Topics: Technologies for developing intelligent analytics might also include the following topics, but not limited to. * Intelligent Analytics as a System (IAaaSy) * Intelligent Analytics as a Service (IAaaSe) * Intelligent Analytics as a Management (IAaaM) * Intelligent Analytics as a Business (IAaaB) * Rule-based systems, * Machine learning, * Multi-agent systems, * Neural networks systems, * Fuzzy logic, * Cased-based reasoning, * Genetic algorithms, * Data mining algorithms, * Intelligent agents, * Intelligent user interfaces * Web technologies, * Intelligent big data/information/knowledge technologies, * Intelligent service technologies, * Social networking technologies, * Intelligent decision technologies, * Intelligent management technologies and business technologies. * Machine-to-machine communication Part III. Multi-industry Applications of intelligent analytics Topics: cases for using foundations and technologies in Part I, II in multi-industry applications and various domains such as digital transformation, blockchain, 5G, SMACS computing, commerce and services, financial services, legal services, healthcare services, educational services, and military services taking into account intelligent diagnostic, descriptive, predictive and prescriptive analytics. The following topics might also include, but not limited to. * Intelligent Analytics as an application * Intelligent analytics with applications * Intelligent analytics-based innovation and entrepreneurship * Intelligent analytics in business ecosystems * Intelligent analytics with public and open data * Intelligent analytics and markets * Intelligent analytics for e-commerce * Intelligent analytics for cloud computing * Intelligent analytics for IoT * Intelligent analytics for blockchain * Intelligent analytics for 5G applications * Intelligent analytics in business decision making * Intelligent analytics in healthcare * Marketing Analytics * Intelligent analytics in banking industry * Intelligent analytics in social networking services * Intelligent analytics for Big Data, information, knowledge and intelligence * Cybersecurity and privacy issues in Intelligent analytics. * Intelligent analytics for management * Intelligent analytics for risk management * Organization analytics Part IV. Emerging technologies and applications for intelligent analytics Topics: Emerging technologies, methodologies, and applications for intelligent analytics. The following topics might also include, but not limited to * Emergent AI-based technologies * Emergent intelligent analytics technologies * Challenges for intelligent big data analytics * Challenges for intelligent big information analytics * Challenges for intelligent big knowledge analytics * Challenges for intelligent analytics research * Challenges for intelligent analytics applications * Challenges for intelligent analytics tools Submission Procedure Please submit a brief summary (abstract) consisting of title and round 150-200 words for the proposed chapter clearly identifying the main objectives of your contribution online by clicking “propose a chapter” at https://www.igi-global.com/publish/call-for-papers/call-details/4539 or to the editor at zhaohao.sun(a)gmail.com by May 30, 2020. Authors of the accepted proposals will be notified and provided with detailed guidelines. Full chapters are to be submitted by June 30, 2020. Submission Format and Evaluation This book will be developed using the eEditorial Discovery™ online submission manager. Therefore, all manuscripts of book chapter must be submitted online using https://www.igi-global.com/submission/submit-chapter/?projectid=8480e8ad-d6… Every book chapter submission should consist of 8,000-12,000 words, and be structured into sections including Abstract, Introduction, background (or related work), main sections, future research directions, conclusion, references. Every book chapter must be submitted in Microsoft® Word, and be typewritten in English in APA style based on “manage source” and “insert citation” function. Every book chapter submission is original. Only ORIGINAL articles will be accepted for publication by IGI-Global. Upon acceptance of your article, you will be required to sign a warranty that your article is original and has NOT been submitted for publication or published elsewhere. All chapter submissions undergo a double-blind peer-review using the eEditorial Discovery™ online submission manager. Conditioned chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among: accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines. Important Dates * May 30, 2020: Proposal Submission Deadline *June 10, 2020: Notification of Acceptance * June 30, 2020: Full Chapter Submission * July 30, 2020: Review Results Returned * August 19, 2020: Final Acceptance Notification * September 2, 2020: Final Chapter Submission. * September – November 2020: estimated publishing period. Editor Information Prof. Dr. Zhaohao Sun, Ph.D. Editor of Handbook of Research on Intelligent Analytics with Multi-Industry Applications Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Morobe, PNG & Federation University Australia zhaohao.sun(a)gmail.com; z.sun(a)federation.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CfP - BIR 2020 Doctoral Consortium
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [WI] CfP - BIR 2020 Doctoral Consortium Date: Wed, 20 May 2020 06:51:50 +0000 From: Hinkelmann Knut <knut.hinkelmann(a)fhnw.ch> Reply-To: Hinkelmann Knut <knut.hinkelmann(a)fhnw.ch> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> *BIR 2020 - **19th International Conference on Perspectives in Business Informatics Research **Artificial Intelligence in Business Informatics *Vienna, 21 - 23 September, 2020 https://bir2020.omilab.org Doctoral Consortium Call for Papers BIR 2020 invites papers for the Doctoral Consortium of Business Informatics Research. Papers must be related to the topics of the BIR 2020 Conference. The Doctoral Consortium of Business Informatics Research is intended to be a forum for researchers that are doctoral students with the purpose to present their research work. The participants in the Doctoral Consortium will have the opportunity to present their papers, engage in discussions with the faculty members and receive feedback from them in order to improve their research work. Moreover, the participants in the Doctoral Consortium will have the opportunity to identify research issues that are related to their research interest and exchange knowledge with other doctoral students. Papers Selection All the papers submitted to the Doctoral Consortium will be reviewed by two faculty members who are senior researchers in business informatics. The papers will be evaluated based on the following criteria: relevance, originality, appropriate research methodology, research contribution, and clarity. The accepted papers will be discussed with the faculty members. The authors of accepted papers will be invited to revise their papers based on the feedback received from the reviewers of the Doctoral Consortium and resubmit it for publication in the CEUR-WS proceedings. The authors will have the opportunity to present their accepted papers in the Doctoral Consortium, engage in discussions with the faculty members and receive feedback from them in order to improve their research work. Papers should reflect the current status of the author's PhD project, presenting a problem statement and research questions, scientific framing against existing literature in the problem domain, the research design and method, the proposed contribution and results achieved so far, as well as existing or planned evaluations of the contribution. Submission Format and Publication The papers should be submitted via EasyChair <https://easychair.org/conferences/?conf=bir20200>. We welcome to receive full papers (12 pages) or short papers (6 pages). The papers should be in PDF format and be prepared using the Springer guidelines and the template available here <http://www.springer.com/gp/computer-science/lncs/conference-proceedings-gui…>. The proceedings of the BIR 2020 doctoral consortium and workshops are intended to be published together as one volume in CEUR-WS.org series <http://ceur-ws.org/>. Submission Guidelines Please choose the “BIR 2020 - Doctoral Consortium” track when submitting your paper through EasyChair <https://easychair.org/conferences/?conf=bir20200>. *Important Dates / Deadlines* * Deadline for papers submission: June 28, 2020 * Notification of papers acceptance: July 31, 2020 * Camera ready of the papers: August 31, 2020 * Doctoral Consortium: September 21, 2020 *Doctoral Consortium Chairs* * Barbara Re <mailto:barbara.re@unicam.it>, University of Camerino, Italy * Knut Hinkelmann <mailto:knut.hinkelmann@fhnw.ch>, FHNW University of Applied Sciences and Arts Northwestern Switzerland *Doctoral Consortium Faculty Members* * Andre de la Harpe, Cape Peninsula University of Technology, South Africa * Hans-Georg Fill, University of Fribourg, Switzerland * Giancarlo Fortino, University of Calabria, Italy * Andrea Morichetta, University of Camerino, Italy * Hanli Smuts, University of Pretoria, South Africa * Hans Friedrich Witschel, FHNW University of Applied Sciences and Arts, Switzerland * Alta van der Merwe, University of Pretoria, South Africa * Janis Grabis, Riga Technical University, Latvia ----------------------------------------------------------------------------------- FHNW University of Applied Sciences and Arts Northwestern Switzerland School of Business *Prof. Dr. Knut Hinkelmann *Head of MSc in Business Information Systems Riggenbachstrasse 16 4600 Olten, Switzerland ----------------------------------------------------------------------------------- T +41 62 957 23 01 M +41 78 896 84 24 Skype: knut.hinkelmann knut.hinkelmann(a)fhnw.ch <mailto:knut.hinkelmann@fhnw.ch> www.fhnw.ch/business/msc-bis <http://www.fhnw.ch/business/msc-bis> ------------------------------------------------------------------------- Homepage: knut.hinkelmann.ch <http://knut.hinkelmann.ch/index-e.php> /Innovation comes only from readily and seamlessly sharing information rather than hoarding it. //(Tom Peters)/ -- 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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