Cfp May 2020

cfp@alice.wu.ac.at

1 participants
100 discussions

Fwd: [AISWorld] TOC JAIS May-June 2020
by Gustaf Neumann 28 May '20

28 May '20

-------- Forwarded Message -------- Subject: [AISWorld] TOC JAIS May-June 2020 Date: Wed, 27 May 2020 21:51:18 +0000 From: Leidner, Dorothy <Dorothy_Leidner(a)baylor.edu> To: AISWorld(a)lists.aisnet.org <AISWorld(a)lists.aisnet.org> Current Issue: Volume 21, Issue 3 (2020) Editorials Editorial: A Critical Look at Theories in Design Science Research<https://aisel.aisnet.org/jais/vol21/iss3/10> Juhani Iivari Special Issue Editorial – Accumulation and Evolution of Design Knowledge in Design Science Research: A Journey Through Time and Space<https://aisel.aisnet.org/jais/vol21/iss3/9> Jan vom Brocke, Robert Winter, Alan Hevner, and Alexander Maedche Articles The Dynamic Effects of Perceptions of Dread Risk and Unknown Risk on SNS Sharing Behavior During EID Events: Do Crisis Stages Matter?<https://aisel.aisnet.org/jais/vol21/iss3/8> Liwei Xu, Jiangnan Qiu, Wenjing Gu, and Yidi Ge Evolutional and Transformational Configuration Strategies: A Rasch Analysis of IT Providers’ Service Management Capability<https://aisel.aisnet.org/jais/vol21/iss3/7> Jochen Wulf and Till J. Winkler Exploring the Dynamic Influence of Visit Behavior on Online Store Sales Performance: An Empirical Investigation<https://aisel.aisnet.org/jais/vol21/iss3/6> Peng Luo, Eric W. T. Ngai, and Xin Tian Tapestries of Innovation: Structures of Contemporary Open Source Project Engagements<https://aisel.aisnet.org/jais/vol21/iss3/5> Matt Germonprez, Matt Levy, Julie E. Kendall, and Kenneth E. Kendall Special Section: Accumulation and Evolution of Knowledge in Design Science Research Monitoring the Complexity of IT Architectures: Design Principles and an IT Artifact<https://aisel.aisnet.org/jais/vol21/iss3/4> Thomas Widjaja and Robert Wayne Gregory A Design Theory for Visual Inquiry Tools<https://aisel.aisnet.org/jais/vol21/iss3/3> Hazbi Avdiji, Dina Elikan, Stephanie Missonier, and Yves Pigneur Accumulating Design Knowledge with Reference Models: Insights from 12 Years’ Research into Data Management<https://aisel.aisnet.org/jais/vol21/iss3/2> Christine Legner, Tobias Pentek, and Boris Otto Accumulating Design Knowledge: A Mechanisms-Based Approach<https://aisel.aisnet.org/jais/vol21/iss3/1> Hannes Rothe, Lauri Wessel, and Ana Paula Barquet _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call For Papers - Conference on Cybersecurity Education, Research and Practice - Oct 23-24, Kennesaw State University, GA
by Gustaf Neumann 26 May '20

26 May '20

-------- Forwarded Message -------- Subject: [AISWorld] Call For Papers - Conference on Cybersecurity Education, Research and Practice - Oct 23-24, Kennesaw State University, GA Date: Tue, 26 May 2020 18:22:06 +0000 From: Michael Whitman <mwhitman(a)kennesaw.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> > From the Conference Committee: In the current state of the COVID-19 pandemic, we are anticipating holding a physical conference here at KSU on October 23 and 24, but as we finalize Principles of Incident Response & Disaster Recovery, 3rd edition for our publisher – Cengage Learning, we are realistic about the need for contingency planning. Therefore, we have the following plans in place: * The preferred option, of course is a traditional physical conference, the same as last year. On Friday, October 23rd, we would host a series of industry day panels and presentations, open to all conference attendees, and to the KSU community as part of National Cybersecurity Awareness Month. On Saturday, October 24th, we would host the conference proper for paid attendees only. * As a contingency, we will plan to make the entire event virtual if needed - following the AIS model. We will make the call by September 1st as to whether or not we need to do this. IF we do go virtual, each presenter will be asked to record their presentation and be prepared to present it during their session, followed by a live Q&A – with questions submitted by Webex chat. Each track will be assigned a WebEx session, and attendees can jump between tracks at will. A moderator will keep things on schedule. Additional details will be provided if we must go this route. If we go virtual the conference registration fees will be substantially lower. Since we can’t determine which rate will apply until we make the call as to whether or not we will need to go virtual, we won’t open registration up until that time. In either event we need a good showing of papers to continue forward with the conference. As always, the best papers will be invited to submit to the Journal of Cybersecurity Education, Research, and Practice, and all authors are expected to review other papers for the conference. Please submit a paper, and commit to supporting the conference. One way or another, we'll see you then! On behalf of the conference committee. CALL FOR PAPERS 2020 Conference on CYBERSECURITY EDUCATION, RESEARCH, & PRACTICE Kennesaw State University, Kennesaw GA, October 23-24, 2020 (Fri & Sat) FRIDAY, October 23, 2020 – INDUSTRY and ACADEMIC PARTNERSHIP DAY Hosted by the Institute for Cybersecurity Workforce Development, Kennesaw State University On Friday, CCERP will host an industry partnership day, with invited presentations and panel discussions from industry executives in the region making presentation on information security issues of concern to both industry and academic professionals. Organizations interested in setting up display tables are invited to sponsor the event. Details may be viewed at https://cyberinstitute.kennesaw.edu/ccerp/, then select Exhibitors from the menu. Please email us at infosec(a)kennesaw.edu for additional information or to propose a speaker. Presentations will not highlight an individual product or company and must be suitably vendor agnostic. SATURDAY, October 24, 2020 –MAIN ACADEMIC CONFERENCE DAY The Conference on Cybersecurity Education, Research, and Practice (CCERP) seeks to provide academics, researchers, and practitioners with an opportunity to share their perspectives on the various aspects of innovation in security research, industry best practices and pedagogical developments of interest with teaching and researching faculty members. Papers offering novel research contributions in any aspect of information security are solicited for submission to the 2020 CCERP Conference. The primary focus is on high-quality, original, unpublished research, case studies and implementation experiences. For authors interested in submitting papers: Papers should have relevance to the teaching, research and practice of information security/cybersecurity. The primary criteria for appropriateness are demonstrated practical relevance and topics of interest to academic researchers and instructors. The conference will include three academic tracks: education, research, and practice. Note that work in progress papers can be accepted if substantial progress has already been made and completion is expected by the conference date. Please note: the industry track is for the scheduling of industry presentations and panel discussions on Oct 23rd, and the SunTrust track is for the presentation of progress reports funded by the SunTrust Fellows program at KSU. Every paper author who submits will be expected to serve as a reviewer for other, non-conflicted submissions. At least one author of each accepted paper must register for the conference by September 10 for the paper to be included in the proceedings. Best papers will be invited to appear in the Journal of Cybersecurity, Education, Research, and Practice, a Digital Commons @ KSU publication. If you have any questions or comments about submissions or requirements please direct them to infosec(a)kennesaw.edu, or visit the conference submission web site at http://digitalcommons.kennesaw.edu/ccerp. The conference web site is https://cyberinstitute.kennesaw.edu/ccerp/. Authors may submit up to 3 papers; however, no more than 2 papers from any one author will be accepted. Important Dates for Paper Sessions Submissions August 1 - Submission Deadline for all academic papers and industry presentations. September 1 - Reviews and acceptances to authors/presenters September 15 – Final copies submitted. Authors for Accepted Papers/Poster Sessions must pre-register for the conference by Sept 10. All submissions are via the conference proceedings site at http://digitalcommons.kennesaw.edu/ccerp. To be added to the conference’s list server or if you have any questions, please send an email to infosec(a)kennesaw.edu. We look forward to your submissions! [Kennesaw State University] Michael E. Whitman, Ph.D., CISM, CISSP Executive Director and Professor of Information Security and Assurance Institute for Cybersecurity Workforce Development 3203 Campus Loop Rd NW MD 5800 Kennesaw, GA 30144 p: 470-578-3568<tel:4705783568> e: mwhitman(a)kennesaw.edu<mailto:mwhitman@kennesaw.edu> w: cyberinstitute.kennesaw.edu<http://cyberinstitute.kennesaw.edu/> Kennesaw State University - a NSA/DHS National Center of Academic Excellence in Information Assurance/Cyber Defense Education since 2004 This message (including any attachments) contains confidential information intended for a specific individual and purpose, and is protected by law. If you are not the intended recipient, you should delete this message immediately and are hereby notified that any disclosure, copying or distribution of this message, or the taking of any action based on it, is strictly prohibited. Further, the contents of this email and any attachments it may be associated with may be protected by the copyright laws of the United States. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] EKAW 2020: Final Call for Papers - Bolzano Summer of Knowledge, September 16-20, 2020
by Gustaf Neumann 26 May '20

26 May '20

-------- Forwarded Message -------- Subject: [WI] EKAW 2020: Final Call for Papers - Bolzano Summer of Knowledge, September 16-20, 2020 Date: Tue, 26 May 2020 17:48:41 +0000 From: Rafael Goncalves <rafael.goncalves(a)stanford.edu> Reply-To: Rafael Goncalves <rafael.goncalves(a)stanford.edu> To: semantic-web(a)w3.org <semantic-web(a)w3.org>, public-lod(a)w3.org <public-lod(a)w3.org>, public-owled(a)w3.org <public-owled(a)w3.org>, public-semweb-lifesci(a)w3.org <public-semweb-lifesci(a)w3.org>, smap-publicity--- via dl <dl(a)dl.kr.org>, planetkr(a)kr.org <planetkr(a)kr.org>, logic(a)math.uni-bonn.de <logic(a)math.uni-bonn.de>, announcements(a)lists.cognitivesciencesociety.org <announcements(a)lists.cognitivesciencesociety.org>, event(a)in.tu-clausthal.de <event(a)in.tu-clausthal.de>, obml(a)lists.informatik.uni-leipzig.de <obml(a)lists.informatik.uni-leipzig.de>, PHILOS-L(a)liverpool.ac.uk <PHILOS-L(a)liverpool.ac.uk>, SIGAI-ANNOUNCE(a)listserv.acm.org <SIGAI-ANNOUNCE(a)LISTSERV.ACM.ORG>, folli(a)folli.info <folli(a)folli.info>, AI-SGES(a)jiscmail.ac.uk <AI-SGES(a)jiscmail.ac.uk>, ontology(a)ebi.ac.uk <ontology(a)ebi.ac.uk>, AIAI(a)listserv.heanet.ie <AIAI(a)listserv.heanet.ie>, sigir(a)acm.org <sigir(a)acm.org>, agents(a)cs.umbc.edu <agents(a)cs.umbc.edu>, wi(a)lists.kit.edu <wi(a)lists.kit.edu> [Apologies for cross-posting] ===================================================================== EKAW 2020 FINAL CALL FOR PAPERS https://ekaw2020.inf.unibz.it Part of the Bolzano Summer of Knowledge 2020 https://summerofknowledge.inf.unibz.it =========================================================== UPDATES FOR ORGANISATION OF EKAW 2020 Responding to the current health crisis, the new submission deadline for abstracts has been set to May 25, and full papers are due June 1. EKAW 2020 will happen 16-20 September 2020 as a virtual event. Please note further: - The organisation team of EKAW 2020 is committed to publishing the EKAW proceedings with Springer in 2020. - EKAW will happen as a virtual conference, physical attendance of authors of accepted papers at EKAW will therefore not be required. - Keynote Speakers are confirmed as virtual events. - The call for (virtual) Posters & Demos is forthcoming. - Participation/Publishing at EKAW will be at a heavily discounted fee (announced soon). See announcement ‘Covid 19’ for future updates: https://ekaw2020.inf.unibz.it/covid-19 <https://ekaw2020.inf.unibz.it/covid-19> Important New Dates: * Abstract Submission: May 25 * Paper Submission: June 1 =========================================================== KEYNOTE SPEAKERS: * Axel-Cyrille Ngonga Ngomo (Paderborn University, Germany) * Toby Walsh (University of New South Wales, Australia) * Diana Maynard (University of Sheffield, United Kingdom) =========================================================== WORKSHOPS There will be two workshops at EKAW 2020: the 5th International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE), and the Workshop on Scalable Knowledge Graph Engineering (SKALE). See more details in the Accepted Workshops page: https://ekaw2020.inf.unibz.it/accepted-workshops =========================================================== RESEARCH, IN-USE AND POSITION PAPERS The 22nd International Conference on Knowledge Engineering and Knowledge Management concerns all aspects of eliciting, acquiring, modeling and managing knowledge, and the role of knowledge in the construction of systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and so on. The special theme of EKAW 2020 is "Ethical and Trustworthy Knowledge Engineering". While recent reported breaches relate predominantly to machine learning systems, it is not impossible to envision ethical breaches in knowledge engineering more broadly and, conversely, devise methods and techniques to ensure no or minimal harm in knowledge acquisition, modelling, and knowledge-driven information systems. EKAW 2020 will put a special emphasis on the importance of Knowledge Engineering and Knowledge Management to keep fostering trustworthy systems. PROCEEDINGS ============= The proceedings of the research track will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence series (http://www.springer.com/lncs). TOPICS OF INTEREST ================== EKAW 2020 welcomes papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management. In particular, but not exclusively, we solicit papers about methods, tools and methodologies on the following topics: - Ethical and Trustworthy Knowledge Engineering * Ethics and trust in automated reasoning * Algorithmic transparency and explanations for knowledge-based systems * Knowledge and ethics * Ontologies for trust and ethics * Trust and privacy in knowledge representation - Knowledge Engineering and Acquisition * Tools and methodologies for ontology engineering * Ontology design patterns * Ontology localisation * Multilinguality in ontologies * Ontology alignment * Knowledge authoring and semantic annotation * Knowledge acquisition from non-ontological resources (thesauri, folksonomies, etc.) * Semi-automatic knowledge acquisition, e.g., ontology learning * Collaborative knowledge acquisition and formalisation * Mining the Semantic Web and the Web of Data * Ontology evaluation and metrics * Uncertainty and vagueness in knowledge representation * Dealing with dynamic, distributed and emerging knowledge - Knowledge Management * Methodologies and tools for knowledge management * Knowledge sharing and distribution, collaboration * Best practices and lessons learned from case studies * Provenance and trust in knowledge management * FAIR data and knowledge * Methods for accelerating take-up of knowledge management technologies * Corporate memories for knowledge management * Knowledge evolution, maintenance and preservation * Incentives for human knowledge acquisition and data quality improvement (e.g. games with a purpose) - Social and Cognitive Aspects of Knowledge Representation * Similarity and analogy-based reasoning * Knowledge representation inspired by cognitive science * Synergies between humans and machines * Knowledge emerging from user interaction and networks * Knowledge ecosystems * Expert finding, e.g., by social network analysis * Collaborative and social approaches to knowledge management and acquisition * Crowdsourcing in knowledge management - Knowledge discovery * Mining patterns and association rules * Mining complex data: numbers, sequences, trees, graphs * Formal Concept Analysis and extensions * Numerical data mining methods and knowledge processing * Mining the web of data for knowledge construction * Text mining and ontology engineering * Classification and clustering for knowledge management * Symbolic and sub-symbolic learning machine learning - Applications in specific domains such as: * eGovernment and public administration * Life sciences, health and medicine * Humanities and Social Sciences * Automotive and manufacturing industry * Cultural heritage * Digital libraries * Geosciences * ICT4D (Knowledge in the developing world) TYPE OF PAPERS =============== We will accept different types of papers. The papers will all have the same status and follow the same formatting guidelines in the proceedings but will receive special treatment during the reviewing phase. In particular, each paper type will be subject to its own evaluation criteria. The Programme Committee will also make sure that there is a reasonable balance of the paper types accepted. At submission time the paper has to be clearly identified as belonging to one of the following categories. * Research papers: These are standard papers presenting a novel method, technique or analysis with appropriate empirical or other types of evaluation as a proof-of-concept. The main evaluation criteria here will be originality, technical soundness and validation. * In-use papers: Here we are expecting papers describing applications of knowledge management and engineering in real environments. Applications need to address a sufficiently interesting and challenging problem on real-world datasets, involving many users, etc. The focus is less on the originality of the approach and more on presenting systems that solve a significant problem while addressing the particular challenges that come with the use of real-world data. Evaluations are essential for this type of paper and should involve a representative subset of the actual users of the system. * Position papers: We invite researchers to also publish position papers, which describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective, in order to contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments. IMPORTANT DATES ================ * Abstract deadline: May 25, 2020 * Submission deadline: June 1, 2020 * Notification of acceptance: August 1, 2020 * Camera-ready paper: August 14, 2020 * Conference days: September 16-20, 2020 All submission deadlines are 23:59:59 Hawaii Time. SUBMISSIONS ============ Pre-submission of abstracts is a strict requirement. All papers and abstracts have to be submitted electronically via EasyChair <https://easychair.org/conferences/?conf=ekaw2020> (https://easychair.org/conferences/?conf=ekaw2020). All submissions for research, in-use, and position papers must be in English, and no longer than 15 pages *including bibliography*. Papers that exceed this limit will be rejected without review. Submissions must be in PDF, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer's Author Instructions <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. ORGANISATION ============ General Chairs * Oliver Kutz (Free University of Bozen-Bolzano, Italy) * Rafael Penaloza (University of Milano-Bicocca, Italy) Program Chairs * Michel Dumontier (Maastricht University, the Netherlands) * Maria Keet (University of Cape Town, South Africa) Workshop Chairs * Anastasia Dimou (Ghent University, Belgium) * Karl Hammar (Jonkoping University, Sweden) Posters & Demos Chairs * Daniel Garijo (University of Southern California, USA) * Agnieszka Lawrynowicz (Poznan University of Technology, Poland) Publicity Chair * Rafael Goncalves (Stanford University, USA) Local Committee * Pietro Galliani (Free University of Bozen-Bolzano, Italy) * Guendalina Righetti (Free University of Bozen-Bolzano, Italy) * Nicolas Troquard (Free University of Bozen-Bolzano, Italy) -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [computational.science] ScalA@SC20 - Papers due September 1
by Gustaf Neumann 26 May '20

26 May '20

-------- Forwarded Message -------- Subject: [computational.science] ScalA@SC20 - Papers due September 1 Date: Tue, 26 May 2020 17:36:49 +0000 From: Engelmann, Christian via computational.science <computational.science(a)lists.iccsa.org> Reply-To: Engelmann, Christian <engelmannc(a)ornl.gov> To: sdmas(a)googlegroups.com <sdmas(a)googlegroups.com>, TCSC(a)cse.stfx.ca <TCSC(a)cse.stfx.ca>, hpc-announce(a)mcs.anl.gov <hpc-announce(a)mcs.anl.gov>, Computational Science List <computational.science(a)lists.iccsa.org>, sc-workshop-attendee-cfp(a)group.supercomputing.org <sc-workshop-attendee-cfp(a)group.supercomputing.org> We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA20: 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC20: The International Conference on High Performance Computing, Networking, Storage and Analysis November 16, 2020, Atlanta, GA, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2020> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines --------------------- Authors are invited to submit manuscripts in English structured as technical papers at a length of at least 6 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. 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, exceeding length limit, or not appropriately structured may also not be considered. Papers should be submitted electronically at <https://submissions.supercomputing.org>. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc(a)ornl.gov, for more information. Transparency and Reproducibility Initiative ------------------------------------------- As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA20 invites authors of technical papers to submit optional appendix information that can promote better reproducibility of computational results. Authors are highly encouraged to provide a 2-page Artifact Description Appendix, which will not count toward the page limit of the submission. Notes: - A paper cannot be disqualified based on information provided or not provided in this appendix, nor if the appendix is not available. - The availability and quality of an appendix can be used in ranking a paper. In particular, if two papers are of similar quality, the existence and quality of the appendices can be part of the evaluation process. - Appendices should not be used to circumvent the page limit. Further information about the SC Transparency and Reproducibility Initiative can be found at <https://sc20.supercomputing.org/submit/transparency-reproducibility-initiat…>. Important Web Sites ------------------- - ScalA20 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2020> - ScalA20 Submissions: <https://submissions.supercomputing.org> - SC20 website: <http://sc20.supercomputing.org/> Important Dates --------------- - Full paper submission: September 1, 2020 - Notification of acceptance: October 1, 2020 - Final paper submission (firm): TBD - Workshop/conference early registration: TBD - Workshop: November 16, 2020 Topics of interest include, but are not limited to: --------------------------------------------------- - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale, including Data Science approaches in dealing with Big Data - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2023) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience (including ones enabling Big Data processing) Workshop Chairs --------------- - Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair ---------------------- - Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc(a)ornl.gov Program Committee ----------------- - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Marco Berghoff, Karlsruhe Institute of Technology, Germany - Hans-Joachim Bungartz, Technical University of Munich, Germany - Florina M. Ciorba, University of Basel, Switzerland - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Yasuhiro Idomura, Japan Atomic Energy Agency, Japan - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Paul Lin, Lawrence Berkeley National Laboratory, USA - Kengo Nakajima, RIKEN, Japan - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Valerie Taylor, Argonne National Laboratory, USA -- Christian Engelmann, Ph.D. Senior R&D Staff Scientist Computer Science Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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Fwd: EDEN NAP Webinar - 27 May 2020
by Gustaf Neumann 25 May '20

25 May '20

-------- Forwarded Message -------- Subject: EDEN NAP Webinar - 27 May 2020 Date: Mon, 25 May 2020 16:40:04 +0000 From: EDEN Secretariat <eden(a)eden-online.org> Reply-To: EDEN Secretariat <eden(a)eden-online.org> To: neumann(a)wu-wien.ac.at EDEN NAP Webinar - 27 May 2020 <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> The next EDEN NAP webinar *'Designing Online Courses for Digital Skills and Competences for the Creative Industries – DigiCulture'* <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> will take place on *Wednesday, 27 May 2020, 17:00 CEST. *You will get the joining instructions in an e-mail after the registration. Register for the webinar <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> Add to Calendar <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> Registered webinar participants will be awarded by EDEN open badges <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…>. Moderators *David Evans* JMEA Associates *Vlad Mihaescu* Lecturer, Politehnica University of Timisoara (RO) *Andrei Jecza* Jecza Gallery, Timisoara (RO) Presenters *Diana Andone* Director of eLearning Center, Politehnica University of Timisoara (RO), EDEN Vice-president for Communication and Communities, DigiCulture Project Coordinator Dr.ing. Diana Andone is the Director of the eLearning Center of Politehnica University of Timisoara, Romania, responsible for planning and implementing eLearning and the online learning technologies thorough the university award winning Virtual Campus CVUPT. She is also associate professor at the Politehnica University of Timisoara, Romania, in the area of multimedia, interactive and web technologies. She has an extensive research experience with intense publication (over 17 books, 80 research papers, 11 Best paper Awards) and more than 30 research and educational projects. She is passionate about the ubiquitous access to technologies and how they can be used to improve people’s life. She actively promotes the use of OERs, MOOCs and the open education principles, training for digital skills, acting in international associations EDEN, IEEE and actively supporting the local start-up movement, women in tech and STEM education. *Antonella Poce* Associate Professor, University Roma TRE (IT), EDEN NAP Chair Antonella Poce currently holds the post of Associate Professor (qualified as a full professor), in Experimental Pedagogy at the department of Education – University Roma TRE (IT), where she chairs the Centre for Museum Education and the post graduate courses: annual Museum Education and biennial Advanced Studies in Museum Education. Her expertise concerns research education methodology and evaluation. In the last five years, her interests have been focused on methods to develop and assess transverse skills and dispositions (critical thinking, creativity, collaboration and communication) in different kinds of users by combining formal, no-formal and informal methods through the use of innovative digital technologies. Currently, within her research group, she has been working on Critical Thinking automatic assessment through the analysis of open-ended questions and essays. She coordinates national research units within European projects frameworks and she has been chairing international academic committees dealing with professional development and distance learning. She is author of different publications of national and international relevance on the topics of innovation, assessment and use of technology in teaching and learning, at different levels. *Mairéad Nic Giolla Mhichíl * Senior Research Fellow in the National Institute for Digital Learning, Dublin (IE) Dr Mairéad Nic Giolla Mhichíl is a Senior Research Fellow in the National Institute for Digital Learning. In 2016 she was a Fulbright Tech Impact Scholar working with the University of Notre Dame in researching the design and development of a Massive Open Online Course. Formerly the Associate Dean of Teaching and Learning in the Faculty of Humanities and Social Sciences with academic responsibility for forty-five academic programmes. Mairéad is a Senior Lecturer in information technology in the Irish-medium interdisciplinary School of Fiontar agus Scoil na Gaeilge and former board member of the North-South Language Body and the ICT sub-committee of the National Council for Curriculum and Assessment in Ireland. She has served on numerous European and National Policy Groups in the area of ICT and Higher Education. Mairéad has gained considerable experience managing and leading internal and external policy and research projects and was appointed as a university fellow in 2008 for the implementation of the Academic Framework for Innovation within DCU. She is a member of Eurocall, AISHE, ESAI and SRHE. Mairéad’s research and teaching interests are concerned with the use of ICT for learning and she has presented regularly in this area: She was PI on the SpeakApps 2 project and a researcher on SpeakApps 1 project aimed at investigation oral language production and interaction. She is joint Co-Editor in Chief of the International Journal of Technology in Higher Education. Mairéad is a mentor to two start-ups in the tech space, she also consults with both national and international companies. *Chiara Zuanni* Assistant professor, University of Graz (AT) Chiara Zuanni is a tenure-track assistant professor in Digital Humanities, with a focus on museology, at ZIM. Her research focuses on the construction and mediation of knowledge in museums, on the impact of digital media and data on the heritage sector and its audiences. She has a degree in Classics and a MA in Archaeology from the University of Bologna, and a PhD in Museology from the University of Manchester (2016). Her postdoctoral appointments included an AHRC Cultural Engagement Fellowship at the Institute of Cultural Capital (University of Liverpool and Liverpool John Moores University, 2016), working on the ‘Liverpool 2018’ project (evaluating the longitudinal impact of the European Capital of Culture award) and on an evaluation for the British Council. She has then been a research fellow at the Victoria and Albert Museum (2016-2017), working on the transnational research project ‘Universal Histories and Universal Museums’ (funded by the AHRC and LABEX), and a visiting lecturer in museology at the University of Bergamo (2018). She is currently also a member of the ‘Ancient Itineraries Institute’ (a project funded by the Getty Foundation, led by King’s College London and Umeå University). *Hendrik Knoche* Associate professor, Aalborg University (DK) Hendrik Knoche holds an Associate Professor position at the University of Aalborg (Denmark) in the Department of Architecture, Design and Media Technology. He has worked on interaction design and user experience both on desktop and mobile devices for more than ten years in industry and academia in various domains including games, mobile social networking, automated content adaptation, and perceived video and aesthetic quality. His research interests include human-centered design, mediated experiences, and ICT for inclusion, rehabilitation, education, and development along with methods for prototyping and evaluating applications. This includes understanding and modeling user experiences “in the wild”. To this end, he is working on user adaptable interactions based on multi-modal usage models and user data including e.g. interaction and game metrics, physiological data and eye-tracking. Description The DigiCulture Erasmus+ project creates the Digital Skills for Creative Industries online courses available in the UniCampus Virtual Learning Hub aimed at low-skilled and at-risk adults, the Digital Skills e-assessment tool and Open Badges for Digital Skills. Together they will provide important new opportunities for low-skilled adults to access knowledge, gain new digital skills and intercultural competences and improve their chances of finding employment or performing better in their current employment. The project addresses a gap in creative and cultural industries (CI) education where there is low emphasis on the use of new digital technologies, entrepreneurship (project management) and both recent graduates and existing employees lack important skills. The speakers will introduce the 13 short online courses that are soon ready to be launched and discuss how they can be used during the current pandemic situation and in the future to improve relevant digital competences of adults. The DigiCulture – ‘Improving the Digital Competences and Social Inclusion of Adults in Creative Industries’ Erasmus+ project partners are from universities, adult training and cultural sector from Romania, Italy, Austria, Denmark, Lithuania, UK and Ireland. http://www.digiculture.eu <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> #EDENChat The webinar will be followed by #EDENChat. Please join us on Twitter using the hashtag #EDENChat! #EDENChat is an online discussion event on Twitter initiated by Steering Committee of the EDEN Network of Academics and Professionals (NAP). It is mediated by members of the NAP community and runs for approximately 1 hour. Anyone can join in and contribute to the discussion which is presented in a Question and Answer format and focuses on current issues in distance, open and e-learning. All sessions start at 18:00 CEST. Previous #EDENChats are listed on the EDEN website <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> according to topics. Add to Calendar <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> Register for the webinar <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> *Save the date and see you Wednesday, 27 May 2020, 17:00 CEST* *Please note that the EDEN 29th Annual Conference <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> will be organized as a virtual event due to the recent developments of the pandemic.* You can find updated information in EDEN's featured news <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> and on EDEN social media channels EDEN is supported by the ERASMUS+ Programme of the European Union. EDEN - European Distance and E-Learning Network Secretariat Tel: +36 1 463 1628, 463 2537 Fax: +36 1 463 1858 E-mail: secretariat(a)eden-online.org <mailto:secretariat@eden-online.org> http://www.eden-online.org <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> EDEN Website <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> EDEN Website <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> EDEN Facebook <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> EDEN Facebook <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> EDEN Twitter <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> EDEN Twitter <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> EDEN YouTube <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> EDEN YouTube <https://eden-online.us9.list-manage.com/track/click?u=d513a442748b7ef82571e…> This email was sent to neumann(a)wu-wien.ac.at <mailto:neumann@wu-wien.ac.at> /why did I get this?/ <https://eden-online.us9.list-manage.com/about?u=d513a442748b7ef82571e9bbb&i…> unsubscribe from this list <https://eden-online.us9.list-manage.com/unsubscribe?u=d513a442748b7ef82571e…> update subscription preferences <https://eden-online.us9.list-manage.com/profile?u=d513a442748b7ef82571e9bbb…> EDEN - European Distance and E-Learning Network Secretariat · Budapest University of Technology and Economics · Egry J. u. 1. · Budapest, Budapest H-1111 · Hungary

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Fwd: [AISWorld] CPS: IJDSST special issue on "Group Decision-Making Support Systems for Pandemic Crises"
by Gustaf Neumann 25 May '20

25 May '20

-------- Forwarded Message -------- Subject: [AISWorld] CPS: IJDSST special issue on "Group Decision-Making Support Systems for Pandemic Crises" Date: Mon, 25 May 2020 17:23:49 +0000 From: Jose Manuel Mora Tavarez <jose.mora(a)edu.uaa.mx> To: ISWorld list <aisworld(a)lists.aisnet.org> CC: Fen Wang <Fen.Wang(a)cwu.edu>, jorge.marx.gomez(a)uni-oldenburg.de <jorge.marx.gomez(a)uni-oldenburg.de>, Gloria Wren <gwren(a)loyola.edu> ********************* CALL FOR PAPERS ********************* SUBMISSION DUE DATE: December 15, 2020 SPECIAL ISSUE ON Group Decision-Making Support Systems for Pandemic Crises International Journal of Decision Support System Technology (IJDSST) Guest Editors: Prof. Manuel Mora, Autonomous University of Aguascalientes, Mexico Prof. Gloria Phillips-Wren, Loyola University Maryland, USA Prof. Jorge Marx Gomez, University of Oldenburg, Germany Prof. Fen Wang, Central Washington University, USA INTRODUCTION: Group Decision-Making Support Systems (GDMSS) have been widely investigated and used from their origins in the ’80s-’90s decades (Huber, 1984; DeSanctis and Gallupe, 1987; Nunamaker et al; 1987; Gray, 1987; Dickson et al., 1993; Fjermestad and Hiltz, 1998), and until nowadays (Gray et al., 2011; Zarate et al., 2013; Mora et al., 2014; Carneiro et al., 2019; Sakka et al., 2019; Ghavami et al., 2019; Aghazadeh and Padoano, 2020). GDMSS have been proposed for supporting critical group decisions demanded from high- social and economic impact events (Belardo and Harrald, 1992; Jefferson and Harrald, 2007; Levy and Taji, 2007; Xu et al., 2015). Furthermore, GDMSS have also supported the group decisions required in the healthcare sector in the last 30 years ago (Hatcher, 1990; Liu et al., 2018). Nowadays, the worldwide COVID-19 crisis with the highest impacts on public health, economic and social dimensions have challenged (Liu et al., 2020) the group decision-making process and GDMSS that can provide effective, efficient and systemic-view support including the impacted health, economic, and social dimensions among other relevant ones (Rehfuess et al., 2019; Portela et al., 2019). Furthermore, relevant studies have reported critical misconceptions on public governmental decisions that occurred due to the utilization of a single pandemic modeling perspective (Ionnadis, 2020), which calls for more systemically designed GDMSS (Luke and Stamatakis, 2012; Araz, 2013). Consequently, whereas there is a vast availability of GDMSS, the COVID-19 crisis has revealed that updated GDMSS concepts, frameworks, methods and technologies (Hevner et al., 2004; Arnott and Pervan, 2014), from a systemic perspective, are required to address effectively, efficiently, and ethically a group decision-making process conducted by policymakers in the context of a pandemic crisis (Moghadas et al., 2009; Moberg et al., 2018; Shearer et al., 2020; Squazzoni et al., 2020; Aghazadeh and Padoano, 2020). REFERENCES Aghazadeh, A., & Padoano, E. (2020). A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making. Sustainability, 12(7), 2602. Araz, O. M. (2013). Integrating complex system dynamics of pandemic influenza with a multi-criteria decision making model for evaluating public health strategies. Journal of Systems Science and Systems Engineering, 22(3), 319-339. Arnott, D., & Pervan, G. (2014). A Critical Analysis of Decision Support Systems Research Revisited: The Rise of Design Science. Journal of Information Technology, 29(4), 269-293. Belardo, S., & Harrald, J. (1992). A framework for the application of group decision support systems to the problem of planning for catastrophic events. IEEE transactions on Engineering Management, 39(4), 400-411. Carneiro, J., Saraiva, P., Conceição, L., Santos, R., Marreiros, G., & Novais, P. (2019). Predicting satisfaction: perceived decision quality by decision-makers in web-based group decision support systems. Neurocomputing, 338, 399-417. DeSanctis, G., & Gallupe, R. B. (1987). A foundation for the study of group decision support systems. Management Science, 33(5), 589-609. Dickson, G. W., Partridge, J. E. L., & Robinson, L. H. (1993). Exploring modes of facilitative support for GDSS technology. MIS Quarterly, 173-194. Fjermestad, J, & Hiltz, S. R. (1998). An assessment of group support systems experimental research: methodology and results. Journal of Management Information Systems, 15(3), 7-149. Ghavami, S. M., Maleki, J., & Arentze, T. (2019). A multi-agent assisted approach for spatial Group Decision Support Systems: A case study of disaster management practice. International Journal of Disaster Risk Reduction, 38, 101223. Gray, P. (1987). Group decision support systems. Decision support systems, 3(3), 233-242. Gray, P., Johansen, B., Nunamaker, J., Rodman, J., & Wagner, G. R. (2011). GDSS past, present, and future. In Decision support (pp. 1-24). Springer, New York, NY. Hatcher, M. (1990). Uniqueness of group decision support systems (GDSS) in medical and health applications. Journal of Medical Systems, 14(6), 351-364. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 75-105. Huber, G. P. (1984). Issues in the design of group decision support systems. MIS Quarterly, 8(3), 195-204. Ioannidis, J. P. (2020). Coronavirus disease 2019: the harms of exaggerated information and non‐evidence‐based measures. European Journal of Clinical Investigation, 50(4), e13222. Jefferson, T. I., & Harrald, J. R. (2007). Collaborative technology: providing agility in response to extreme events. International Journal of Electronic Governance, 1(1), 79-93. Levy, J. K., & Taji, K. (2007). Group decision support for hazards planning and emergency management: A Group Analytic Network Process (GANP) approach. Mathematical and Computer Modelling, 46(7-8), 906-917. Liu, H. C., You, X. Y., Tsung, F., & Ji, P. (2018). An improved approach for failure mode and effect analysis involving large group of experts: an application to the healthcare field. Quality Engineering, 30(4), 762-775. Liu, P., Zhong, X., & Yu, S. (2020). Striking a balance between science and politics: understanding the risk-based policy-making process during the outbreak of COVID-19 epidemic in China. Journal of Chinese Governance, 1-15. Luke, D. A., & Stamatakis, K. A. (2012). Systems science methods in public health: dynamics, networks, and agents. Annual Review of Public Health, 33, 357-376. Moberg, J., Oxman, A. D., Rosenbaum, S., Schünemann, H. J., Guyatt, G., Flottorp, S., ... & Alonso-Coello, P. (2018). The GRADE Evidence to Decision (EtD) framework for health system and public health decisions. Health Research Policy and Systems, 16(1), 45. Moghadas, S. M., Pizzi, N. J., Wu, J., & Yan, P. (2009). Managing public health crises: the role of models in pandemic preparedness. Influenza and Other Respiratory Viruses, 3(2), 75-79. Mora, M., Phillips-Wren, G., & Wang, F. (2014). An integrative evaluation framework for determining the value of group decision support systems. Engineering Management Journal, 26(2), 24-38. Nunamaker Jr, J. F., Applegate, L. M., & Konsynski, B. R. (1987). Facilitating group creativity: Experience with a group decision support system. Journal of Management Information Systems, 3(4), 5-19. Portela, A., Tunçalp, Ö., & Norris, S. L. (2019). Taking a complexity perspective when developing public health guidelines. Bulletin of the World Health Organization, 97(4), 247. Rehfuess, E. A., Stratil, J. M., Scheel, I. B., Portela, A., Norris, S. L., & Baltussen, R. (2019). The WHO-INTEGRATE evidence to decision framework version 1.0: integrating WHO norms and values and a complexity perspective. BMJ Global Health, 4(Suppl 1), e000844. Sakka, A., Bosetti, G., Grigera, J., Camilleri, G., Fernández, A., Zaraté, P., ... & Sautot, L. (2019, June). UX Challenges in GDSS: An Experience Report. In International Conference on Group Decision and Negotiation (pp. 67-79). Springer, Cham. Shearer, F. M., Moss, R., McVernon, J., Ross, J. V., & McCaw, J. M. (2020). Infectious disease pandemic planning and response: Incorporating decision analysis. PLoS Medicine, 17(1). Squazzoni, F., Polhill, J. G., Edmonds, B., Ahrweiler, P., Antosz, P., Scholz, G., ... & Gilbert, N. (2020). Computational models that matter during a global pandemic outbreak: A call to action. Journal of Artificial Societies and Social Simulation, 23(2). Xu, X. H., Du, Z. J., & Chen, X. H. (2015). Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions. Decision Support Systems, 79, 150-160. Zaraté, P., Konate, J. & Camilleri, G. (2013) Collaborative Decision Making Tools: A Comparative Study Based on Functionalities. (2013) In: 13th International Conference Group Decision and Negotiation (GDN 2013), 17-21 June, Stockholm, Sweden. OBJECTIVE OF THE SPECIAL ISSUE: This special issue pursues to advance group decision-making methods and tools to meet severe health, economic, and social challenges that emerged from the Covid-19 pandemic crisis in this decade. High-quality conceptual and empirical research papers are invited from the international interdisciplinary scientific community interested in helping to provide better group decision-making support to policymakers in the context of a pandemic crisis. RECOMMENDED TOPICS: Topics to be addressed in this special issue include (but are not limited to) the following ones: * Conceptual analysis of the WHO-INTEGRATE Evidence to Decision Framework with a group decision-making perspective. * Conceptual group decision-making methods derived from the WHO-INTEGRATE Evidence to Decision Framework. * Empirical designs and evaluations of GDMSS tools derived from the WHO-INTEGRATE Evidence to Decision Framework. * Systems science methods applied in group decision-making methods and tools in the context of pandemic crisis. * Descriptive Analytics applied in group decision-making methods and tools in the context of a pandemic crisis. * Predictive Analytics applied in group decision-making methods and tools in the context of a pandemic crisis. * Prescriptive Analytics applied in group decision-making methods and tools in the context of a pandemic crisis. * Efficient, effective, and usable MADM methods for enhancing GDMSS. * System Science methods (System Dynamics, Agent-based Simulation, and Network Analysis) for enhancing GDMSS. SUBMISSION PROCEDURE: Researchers and practitioners are invited to submit papers for this special theme issue on Group Decision-Making Support Systems for Pandemic Crises on or before December 15, 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. PUBLICATION SCHEDULE: * first submission deadline - December 15, 2020 * first editorial decision deadline - February 15, 2020 * second version submission deadline (conditioned papers) - March 15, 2020 * definitive editorial decision deadline - April 15, 2020 * camera-ready paper submission deadline - May 15, 2020 All inquires and paper submission should be directed to the attention of: Prof. Manuel Mora – lead guest editor International Journal of Decision Support Technology (IJDSST) E-mail: jose.mora(a)edu.uaa.mx<mailto:jose.mora@edu.uaa.mx> * * * * * * _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] BigDat 2020 Autumn: early registration June 2
by Gustaf Neumann 25 May '20

25 May '20

-------- Forwarded Message -------- Subject: [WI] BigDat 2020 Autumn: early registration June 2 Date: Mon, 25 May 2020 05:34:45 +0200 From: IRDTA <irdta(a)irdta.eu> Reply-To: IRDTA <irdta(a)irdta.eu> To: wi(a)lists.kit.edu BigDat 2020 Autumn: early registration June 2 *To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************** 7th INTERNATIONAL SCHOOL ON BIG DATA BigDat 2020 Autumn Beersheba, Israel October 25-29, 2020 Co-organized by: Ben-Gurion University of the Negev Department of Software and Information Systems Engineering Data Science Research Center Institute for Research Development, Training and Advice (IRDTA) Brussels / London https://irdta.eu/bigdat2020a/ ********************************************** --- Early registration deadline: June 2, 2020 --- ********************************************** SCOPE: BigDat 2020 Autumn will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona. Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 24 four-hour and a half courses, 2 keynote lectures and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2020 Autumn is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. VENUE: BigDat 2020 Autumn will take place in Beersheba, the largest city in the Negev desert of southern Israel and an important technology center. The venue will be: Ben-Gurion University of the Negev Marcus Family Campus https://in.bgu.ac.il/en/Pages/interactive.aspx STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. KEYNOTE SPEAKERS: tba PROFESSORS AND COURSES: (to be completed) Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data Thomas Bäck & Hao Wang (Leiden University), [introductory/intermediate] Data Driven Modeling and Optimization for Industrial Applications Paul Bliese (University of South Carolina), [introductory/intermediate] Using R for Mixed-effects (Multilevel) Models Altan Cakir (Istanbul Technical University), [intermediate] Big Data Analytics with Apache Spark Edward Chang (Stanford University), [intermediate] Artificial Intelligence for Disease Diagnosis and Precision Surgery Michael X. Cohen (Radboud University Nijmegen), [introductory] Dimension Explosion and Dimension Reduction in Brain Electrical Activity Ian Fisk (Flatiron Institute), [introductory] The Infrastructure to Support Data Science Michael Freeman (University of Washington), [intermediate] Interactive Data Visualization Using D3 + Observable David Gerbing (Portland State University), [introductory] Derive Meaning from Data with R Visualizations Yifan Hu (Yahoo Research), [introductory/advanced] Data Visualization and Machine Learning Wagner A. Kamakura (Rice University), [intermediate] Advanced Business Analytics using Excel Addins Ravi Kumar (Google), [intermediate/advanced] Clustering for Big Data Victor O.K. Li (University of Hong Kong), [intermediate] Deep Learning and Applications Panos Pardalos (University of Florida), [intermediate/advanced] Optimization and Data Sciences Techniques for Large Networks Valeriu Predoi (University of Reading), [introductory] A Beginner's Guide to Big Data Analysis: How to Connect Scientific Software Development with Real World Problems Alexandre Vaniachine (VirtualHealth), [intermediate] Open-source Columnar Databases Sebastián Ventura (University of Córdoba), [intermediate/advanced] Supervised Descriptive Pattern Mining Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Deep Learning for Text Mining OPEN SESSION An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david(a)irdta.eu by October 17, 2020. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by October 17, 2020. EMPLOYER SESSION: Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by October 17, 2020. ORGANIZING COMMITTEE: Stavi Baram (Beersheba) Mark Last (Beersheba) Carlos Martín-Vide (Tarragona, program chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) Lior Rokach (Beersheba, co-chair) Bracha Shapira (Beersheba, co-chair) David Silva (London, co-chair) REGISTRATION: It has to be done at https://irdta.eu/bigdat2020a/registration/ The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. Refunding of registration fees will not be possible. However, an exception will be made in case the event must be postponed due to the continuation of the coronavirus crisis in Autumn (which is a scenario the organizers do not expect). ACCOMMODATION: Suggestions for accommodation will be available in due time. CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Ben-Gurion University of the Negev Institute for Research Development, Training and Advice (IRDTA) – Brussels/London -- 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 - Journal of Digital Science
by Gustaf Neumann 22 May '20

22 May '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP - Journal of Digital Science Date: Fri, 22 May 2020 15:38:52 +0500 From: Sergey Orlov <s.orlov4860(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear Authors, We welcome submissions for the Journal of Digital Science. Journal of Digital Science (JDS) is an international peer-reviewed journal which aims at the latest ideas, innovations, trends, experiences and concerns in the field of digital science covering all areas of the scholarly literature of the sciences, social sciences. The main topics covered include: Artificial Intelligence Research; Digital Agriculture, Economics, Education, Engineering, Finance, Health Care, Law, Media, Medicine, Pharma, Public Administration, Public Health, Technology&Applied Sciences; Educational Sciences; History; Mathematics; Philosophy; Social Problem-solving. The main goal of this journal is to efficiently disseminate original findings generated by human brain with utilizing modern information/digital technologies. Each published articles will be indexed by DOI and ORCID. You can submit your paper via Submission Form on https://ics.events/journal-of-digital-science/. Submissions deadline is May 25, 2020. Journal of Digital Science (JDS) is published by Institute of Certified Specialists two times a year. https://ics.events _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 2nd Call for Chapters: Handbook of Research on Big Data and Learning Analytics
by Gustaf Neumann 22 May '20

22 May '20

-------- Forwarded Message -------- Subject: [AISWorld] 2nd Call for Chapters: Handbook of Research on Big Data and Learning Analytics Date: Fri, 22 May 2020 09:41:57 +0100 From: Ana Azevedo <ana.azevedo(a)gmail.com> To: aisworld-request(a)lists.aisnet.org CC: aisworld(a)lists.aisnet.org, Ana Azevedo <aazevedo(a)iscap.ipp.pt> Propose a chapter: https://www.igi-global.com/publish/call-for-papers/submit/4651 Editors *Ana Azevedo*, CEOS.PP / ISCAP / P.PORTO, Portugal *José Azevedo*, CEOS.PP / ISCAP / P.PORTO, Portugal *James Uhomoibhi*, Ulster University, United Kingdom *Ebba Ossiannilsson*, Swedish Association for Distance Education (SADE), Sweden Call for Chapters Proposals Submission Deadline: June 15, 2020 Full Chapters Due: August 11, 2020 Submission Date: December 4, 2020 Introduction Learning Analytics is a topic of growing interest in the research communities. INFORMS defined analytics as the scientific process of transforming data into insights with the purpose of making better decisions. Being grounded on the area of decision support systems, the area of analytics has got a vast range of applications. One important application concerns educational environment, where the three types of analytics, namely, descriptive, predictive, and prescriptive are being applied. Nowadays, the term Learning Analytics is used in the context of the use of Analytics in eLearning environments. Learning Analytics is vastly used in order to improve quality. It uses data about students and their activities in order to provide better understanding and to improve students’ learning. The use of LMS, where the activity of the students’ can be easily accessed, potentiated the use of Learning Analytics to understand their route during the learning process, thus they can be helped to improve during that process. A competent use of Learning Analytics can be helping students to be aware of their progress, thus enabling students to take control of their own learning. Another important use of Learning Analytics relates to the detection of situations where the students can give up of the course before its completion, which is one important problem in eLearning environments. Authors are welcome to submit papers, and to discuss theory, research issues or applications. Objective The primary objective of this book is to provide insights concerning the use of Learning Analytics. This is a cutting edge and an important topic that deserves reflexion, and this book is an excellent opportunity to do so. The proposed book shall: - report on the role and impact of learning analytics training and development in education. - accept research contributions which reports on how various stakeholders are engaged in the design, deployment and assessment of successful and sustainable learning analytics. These contributions could be theoretical, methodological, empirical and technical. Factors affecting Learning Analytics would be considered to include: - human factors in learning analytics systems - geographical (brick & mortar versus virtual) - technical/technological factors - analytics tools - ethical and legal factors of the use of Learning Analytics Target Audience Teachers, professionals in the area of Learning Analytics, senior managers, researchers, academicians, practitioners, and graduate students, are the target of this book. Recommended Topics Relevant topics include, but are not limited to: • Pedagogical and Educational Perspectives • Techniques and methods for Learning Analytics • Impact of Learning Analytics • Feedback for students • Software for Learning Analytics • Adaptive Learning • Learning Metrics • Ethical and legal issues • Analytics in e-assessment applications • Educational Mining • Virtual and Remote Experiments Based Learning • Learning in Mixed Environments • Innovative learning Spaces • Quality related issues based on Learning Analytics • Others considered relevant to this area Submission Procedure Researchers and practitioners are invited to submit on or before *June 16, 2020*, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by *April 27, 2020* about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by *August 11, 2020*, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Handbook of Research on Big Data and Learning Analytics. All manuscripts are accepted based on a double-blind peer review editorial process. All proposals should be submitted through the eEditorial Discovery®TM online submission manager. Publisher This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com <https://www.igi-global.com/publish/call-for-papers/call-details/www.igi-glo…>. This publication is anticipated to be released in 2021. Important Dates *June 16 , 2020*: Proposal Submission Deadline *April 27, 2020*: Notification of Acceptance *August 11, 2020*: Full Chapter Submission *October 09, 2020*: Review Results Returned *November 6, 2020*: Revisions Due From Authors *November 20, 2020*: Final Acceptance Notification *December 04, 2020*: Final Chapter Submission Inquiries *Ana Azevedo* CEOS.PP / ISCAP / P.PORTO aazevedo(a)iscap.ipp.pt Classifications Computer Science and Information Technology; Education; Library and Information Science; Social Sciences and Humanities; Science and Engineering _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] HICSS 54 CFP on open science practices in information systems research
by Gustaf Neumann 21 May '20

21 May '20

-------- Forwarded Message -------- Subject: [WI] HICSS 54 CFP on open science practices in information systems research Date: Wed, 20 May 2020 23:12:59 +0000 From: Cathal Doyle <cathal.doyle(a)vuw.ac.nz> Reply-To: Cathal Doyle <cathal.doyle(a)vuw.ac.nz> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> Kia ora (Hello) We’re delighted to announce we’re running a minitrack at HICSS 54 on open science practices in information systems research. The objective of this minitrack is to give researchers the opportunity to present novel and innovative ways that they are conducting research using open science. In doing so we aim to push the boundary of how IS research is conducted and communicated to the community. In order to do so, we are looking for both conceptual and empirical papers that either further our understanding of open science in IS research, or studies that practice it. Thus, we invite papers that focus on (but is not limited to) any of the following topics around open science in IS research: * Philosophical considerations * Ethical implications * Methodological considerations * Papers that practice one (or more) concepts of open science in their study * Registered reports in IS research (can be either stage 1 or stage 2) * Understanding of different platforms/tools for practicing open science You can read more on the HICSS website: https://hicss.hawaii.edu/tracks-54/collaboration-systems-and-technologies/#… If you’re interested, please submit a paper for review. If not, could you please forward this message to your networks, or to other colleagues you think might be interested. Further, here are links to two papers that provide a good introduction to open science: “We need the open artefact: Design Science as a pathway to Open Science in Information Systems research” (https://doi.org/10.31219/osf.io/ye6xp) and “This paper is an artefact: On open science practices in design science research using registered reports” (https://doi.org/10.31219/osf.io/d8hej). And here is a paper practicing open science that was accepted for JAIS: “New Guidelines for Null Hypothesis Significance Testing in Hypothetico-Deductive IS Research” (https://doi.org/10.31235/osf.io/5qr7v). If you have any questions please feel free to contact me. Ngā mihi (Kind regards) Cathal Cathal Doyle, Ph.D. Lecturer School of Information Management Victoria University of Wellington Open science framework profile: https://osf.io/v9y6q/ ResearchGate: https://www.researchgate.net/profile/Cathal_Doyle2 Website: http://cathaldoyle.com/ -- 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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Cfp May 2020