Cfp April 2017

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Fwd: [AISWorld] CFP IMDS special issues: The Adoption and Resistance of Disruptive Information Technologies
by Gustaf Neumann 09 Apr '17

09 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CFP IMDS special issues: The Adoption and Resistance of Disruptive Information Technologies Datum: Mon, 10 Apr 2017 00:33:59 +0800 Von: Young Hoon Chang <younghoonchang(a)gmail.com> An: aisworld(a)lists.aisnet.org Special issue call for papers Industrial Management & Data Systems The Adoption and Resistance of Disruptive Information Technologies ------------------------------ Special issue call for papers Industrial Management & Data Systems Guest Editors*Dr. Younghoon Chang* Division of Business and Management, BNU-HKBU United International College, China younghoonchang(a)gmail.com; younghooonc(a)uic.edu.hk *Dr. Hwansoo Lee* Interdisciplinary Graduate Program in IT LAW, Dankook University, Korea hanslee992(a)gmail.com *Prof. Jae-Nam Lee* Korea University Business School, Korea isjnlee(a)korea.ac.kr *Dr. Shan Wang* Edwards School of Business, University of Saskatchewan, Canada wang(a)edwards.usask.ca About the Special Issue This special issue focuses on the adoption and resistance of emerging information technologies (e.g., IoT, artificial intelligence, augmented reality, virtual reality, big data, cloud computing, and FinTech), which bring disruptive changes to business activities and individual lives. Specifically, this special issue addresses the following questions: 1. Do the existing theories of technology adoption and/or diffusion explain the role of emerging disruptive technologies well? If not, how to extend the existing theories or develop new theoretical perspectives to fill the gap? 2. What additional perspectives should be considered besides the traditional adoption theories? 3. What are the adoption and/or diffusion barriers of disruptive information technologies? 4. What are the risks of the disruptive information technologies? 5. How do the risks of the disruptive information technologies affect their adoption and/or diffusion processes? 6. Why are organizations and individuals reluctant to adopt and diffuse the disruptive information technologies? Topics of interest include, but are not limited to, the following: * New theory and perspective for the adoption and diffusion of disruptive information technologies * State of the art and new business models using disruptive information technologies * Success and failure factors of augmented/virtual reality applications and games * Big Data-driven services * Issues on emerging medical information technologies * Legal and political issues of disruptive information technologies * Diffusion barriers of self-driving cars * Financial Technology (FinTech) services * Individual, business and social Impacts of disruptive technologies * The benefits and risks of adopting cloud computing services * Cross cultural issues related to disruptive information technologies * The role of disruptive information technologies in creating and sustaining business ecosystems Timeline Submission deadline: May 31, 2017 Papers reviewed: Sept 30, 2017 Revised papers reviewed and accepted: December 31, 2017 Final versions of accepted papers delivered: January 31, 2018 Submissions We welcome papers a wide range of disciplines as well as papers based on either quantitative or qualitative approaches. Given the tight schedule, there will not be enough time for major revision. Therefore, when preparing your submission, it is strongly required to try your best to make your paper publishable as it is. Authors are invited to submit original and unpublished papers. Authors are instructed to follow the Guide for Authors <http://emeraldgrouppublishing.com/products/journals/author_guidelines.htm?i…> and submission guidelines for the journal at the journal’s website, and to choose "Special Issue: Disruptive IT" as the paper type in the online submission system, Scholar One <http://mc.manuscriptcentral.com/imds>. More about the Special Issue With technology use permeating every part of our life, both personal and at work, the issues related to its adoption have drawn concerns of all users. Technology acceptance studies have provided valuable insight and been consistently published in various outlets (Lee et al. 2013). The topic has also garnered high citation as evidenced the previous papers. As new technologies are being introduced, we expect that the adoption and resistance issues will continue to attract user interest. Although existing technology acceptance theories are old-fashioned, many researchers still apply the theories to specific contexts (e.g., developing country, education, and health care areas). However, these theories may have limitations in explaining the adoption of emerging disruptive information technologies (Sun, Y., & Jeyaraj, A. 2013). Thus, if we fill this research gap, many researchers will have better opportunities to develop the related topics based on studies included in this special issue. http://emeraldgrouppublishing.com/products/journals/call_for _papers.htm?id=6895 *Dr. Young Hoon Chang* Ph.D in Business and Technology Management (KAIST) Assistant Professor Division of Business and Management BNU-HKBU United International College B117, 28 Jinfeng Road, Tangjiawan, Zhuhai, Guangdong Prov. 519085 P.R. CHINA Tel: +86 756 362 0393 Email: younghoonc(a)uic.edu.hk; younghoonchang(a)gmail.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP HICSS 51 Minitrack: Knowledge Management and Information Security Minitrack
by Gustaf Neumann 08 Apr '17

08 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CFP HICSS 51 Minitrack: Knowledge Management and Information Security Minitrack Datum: Sat, 8 Apr 2017 00:35:33 +0000 Von: Durcikova, Alexandra <alex(a)ou.edu> An: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> HICSS 2018 January 3-6, 2018 Hilton Waikoloa Village, Hawaii http://hicss.hawaii.edu/tracks-and-minitracks/ TRACK: Knowledge Innovation and Entrepreneurial Systems MINITRACK: Knowledge Management and Information Security Minitrack The purpose of this Minitrack is to focus on research on the intersection of knowledge management and organizational or individual security. Specifically, we have heard and read many times in the last several decades that the most important asset of an organization is the knowledge of its employees. While this knowledge can be a target of sophisticated cyber-attacks or fraud, most likely the leaking of knowledge can happen because of careless organizational practices, asset misuse, or behavior of employees. Organizations put in place many technology-based security measures (firewalls, filtering systems) to guard against attacks, yet it is not that easy to guard against the human-side of security practices. An organization can have the best security technology in place, yet a careless employee talking or emailing or posting on Facebook about the 'new development' at the company bypasses all this security technology with ease. Furthermore, one can find lot of information about current projects done by a company by searching the web. How can an organization effectively protect its intellectual property remains an unanswered question. What type of security and intelligence techniques are out that that can protect the intellectual property? What are the best ways to train employees so that they would spot potentially criminal activity, such as fraud, among employees? Could crowdsourcing be used in this case, meaning asking employees to vote on a particular issue to determine whether it represents a potential threat? Could implementation of KMS potentially cause legal problems because some KM artifacts could be uncovered during discovery and used as evidence against a company? * This minitrack seeks papers that investigate issues related to security and protection of intellectual assets and explore how organizations can use security measures to protect their KM practices. Possible topics include, but are not limited to: * Securing intellectual assets; * Filtering messages regarding current business practices on social media (e.g., Facebook, LinkedIn) * Legal concerns when implementing KMS; * Techniques used to scan employee communication channels (e.g., email, Facebook, text messages); * Security strategies within and outside the company boundaries; * Training employees on potential threats to security breaches; * Preventative measures to secure KM assets; * Knowledge loss risk management; * Impact of immigration and cultural issues on potential KM security breach; * Using KM security to mitigate impacts of retirement and worker transience; * Measuring risk of knowledge loss due to security breach; * Security models and architectures for knowledge systems; * Modeling risk in knowledge systems; * Tradeoffs in knowledge systems between security and knowledge sharing; * Technologies for knowledge system security. MINITRACK CO-CHAIRS Alexandra Durcikova (Primary Contact) The University of Oklahoma alex(a)ou.edu Murray E. Jennex San Diego State University mjennex(a)mail.sdsu.edu IMPORTANT DATES Deadline for paper submissions: June 15, 2017 11:59 PM Hawaii time Notification of acceptance: August 17, 2017 Final paper due: September 22, 2017 Conference: January 3-6, 2018 INSTRUCTIONS FOR AUTHORS: Please see http://hicss.hawaii.edu/tracks-and-minitracks/authors/ for author instructions. Alexandra Durcikova, PhD Assistant Professor of MIS The University of Oklahoma 307 West Brooks, Room 305D Norman, Oklahoma 73019-4006 Ph: (405) 325-3213 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Final Call for Papers - DTMD 2017 (Information, Narrative and Rhetoric: Exploring Meaning in a Digitalised Society)
by Gustaf Neumann 08 Apr '17

08 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Final Call for Papers - DTMD 2017 (Information, Narrative and Rhetoric: Exploring Meaning in a Digitalised Society) Datum: Fri, 7 Apr 2017 22:24:53 +0000 Von: Magnus.Ramage <magnus.ramage(a)open.ac.uk> An: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> The deadline for the DTMD 2017 conference on information & narrative has been extended and is now 15th April. Please join us in lovely Gothenburg in June! Full details follow. Call for Papers - Information, Narrative and Rhetoric: Exploring Meaning in a Digitalised Society The sixth Difference that Makes a Difference conference, DTMD 2017, will form part of the IS4SI 2017: Digitalisation for a Sustainable Society<http://is4si-2017.org/> summit, which will take place 12-16 June 2017 in Gothenburg, Sweden, on the theme of: Information, narrative and rhetoric: exploring meaning in a digitalised society Meaning is embedded within, and defined by, stories. This workshop will explore the use of the language of information in the stories of the digitalised society in order to enhance understanding, both of society and of information. The workshop will address the following questions (among others): * How is information represented/embodied through stories and narratives? * In what way do the structures (e.g. shape and grammars) of stories create information in themselves? * Is it necessary to have both rhetoric and narrative to create stories? Can narrative-free or rhetoric-free stories exist? For example, can a bitstream or a DNA sequence be considered a story, or do mathematical equations form narratives in themselves? * What are the processes by which narratives are formed? How are meta-narratives formed, and what is their reflexive relationship with the information that the narrative shapes and is shaped by? * Are there circumstances when the forming of a narrative leads to the destruction or ignoring of information? Likewise, are there circumstances when the destruction of a narrative leads to the creation of information? * How do narratives become hegemonic on particular topics, for example, in political discourse? Who has the power to create and shape these hegemonic narratives? * What does the relationship between information and narrative say about the rise of post-truth politics? * What is the relationship between levels of abstraction (in Floridi's sense) or levels of communication (in the sense of the ISO 7-layer model) and narratives? * Which narratives, particularly in public discourse, are generated in a way that (deliberately or tacitly) excludes information from discussion rather than adding to it? * How can we identify and investigate the narratives around digitalised societies, and critique the assumptions behind those narratives? Keynote speaker The conference will be opened by our keynote speaker, Ken MacLeod<https://kenmacleod.blogspot.com/>. Ken is a celebrated science fiction writer based in Edinburgh, Scotland, and has written many novels which look in various ways at the relationship, both utopian and dystopian, between technology and society. He has been described as<http://www.forbiddenplanet.co.uk/blog/2016/ken-macleod-edinburgh-internatio…> "one of the most consistently interesting authors we have in contemporary science fiction". He has been a writer in residence at the Genomics Forum and at Edinburgh Napier University. Further information Submissions should be made via the IS4SI summit website: <http://is4si-2017.org/submissions/> http://is4si-2017.org/submissions/ <http://is4si-2017.org/submissions/> 15/4/2017 Submission deadline for extended abstracts 1/5/2017 Acceptance notifications For further information, please see the DTMD group website at <http://www.dtmd.org.uk/dtmd-2017-narratives-and-rhetoric> http://www.dtmd.org.uk/dtmd-2017-narratives-and-rhetoric, or contact Magnus Ramage (magnus.ramage(a)open.ac.uk<mailto:magnus.ramage@open.ac.uk>) or David Chapman (david.chapman(a)open.ac.uk<mailto:david.chapman@open.ac.uk>). -- Dr Magnus Ramage Lecturer in Information Systems School of Computing and Communications The Open University, Milton Keynes, UK E: magnus.ramage(a)open.ac.uk<mailto:magnus.ramage@open.ac.uk> | T: @magnusramage<https://twitter.com/magnusramage> Web: http://stem.open.ac.uk/people/mr888 Blog: http://presentonearth.blogspot.co.uk/ _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Chapters - "Agile Education, Lean Learning"
by Gustaf Neumann 08 Apr '17

08 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Call for Chapters - "Agile Education, Lean Learning" Datum: Sat, 8 Apr 2017 09:50:57 +1200 Von: David Parsons <david(a)themindlab.com> An: aisworld(a)lists.aisnet.org Call For Chapter Proposals - 'Agile Education, Lean Learning" We are inviting initial chapter proposals for the forthcoming edited book, “Agile Education, Lean Learning”, to be published by Springer. The initial proposal has been formally reviewed and accepted for further development by the publisher, so we are now seeking submissions from potential authors who may wish to contribute chapters to this publication. At this stage, we only require suggested chapter titles, details of authors and a brief outline of the proposed content of the chapter (approx 200 words). For more information regarding the topic, important deadlines, and how to participate, visit our CFC page: http://davidparsons.ac.nz/agilelean.html Please disseminate this call to your wider networks, and to any individuals you consider might be interested in contributing a chapter to this book. Kind Regards Kathryn MacCallum David Parsons Dr David Parsons National Postgraduate Director The Mind Lab by Unitec Phone: +64 9 964 4444 Mobile: +64 21 061 0441 david(a)themindlab.com <firstname(a)themindlab.com> www.themindlab.com [image: https://image.freepik.com/free-icon/facebook-logo_318-49940.jpg] <http://www.themindlab.com/> /themindlabnz <https://www.facebook.com/themindlabnz>[image: https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcT6KrLEzWZwkhvG0Qx-c89…] @nzmindlab <https://twitter.com/NZMindlab> This email and any files transmitted with it are confidential and intended solely for the use of the individual to whom they are addressed. If you have received this email in error please notify us before deleting it. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 5th European Conference on the Engineering of Computer Based Systems (ECBS 2017): Fourth Call for Papers
by Gustaf Neumann 08 Apr '17

08 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] 5th European Conference on the Engineering of Computer Based Systems (ECBS 2017): Fourth Call for Papers Datum: Sat, 8 Apr 2017 14:31:01 +0300 Von: George Angelos Papadopoulos <george(a)cs.ucy.ac.cy> An: SIGSAND-L(a)CLIFFY.UCS.MUN.CA, CHI-ANNOUNCEMENTS(a)LISTSERV.ACM.ORG, irlist(a)lists.shef.ac.uk, SIGOPS-ANNOUNCE(a)acm.org, confs-submit(a)hri.org, hellas(a)lists.psu.edu, aisworld(a)lists.aisnet.org *** Fourth Call for Papers *** 5th European Conference on the Engineering of Computer Based Systems ECBS 2017 Lordos Hotel, Larnaca, Cyprus 31 August - 1 September, 2017 http://cyprusconferences.org/ecbs2017/ In Cooperation with ACM SIGAPP, SIGOPS and SIGSOFT ECBS 2017 is a formal meeting dedicated to formulating and advancing methods, techniques, and tools for engineering of computer-based systems. The conference is devoted to the design, development, deployment, and analysis of the complex systems whose behavior is largely determined or controlled by computers. Such systems are characterized by functional, performance, and reliability requirements that mandate the tight integration of information processing and physical processes. ECBS integrates software, hardware, and communication perspective of system engineering through its many facets that include system modeling, requirements specification, simulation, architectures, safety, security, reliability, human–computer interaction, system integration, verification and validation, high performance/parallel computing, cloud-based technologies, and project management. The conference provides a bridge between industry and academia, blending academic research and industrial development. The proceedings will be published in the International Conference Proceedings Series of ACM and after the conference they will be accessible in the ACM Digital Library. A Best Paper Award will be presented to the best paper presented at the conference, and a Best Student Paper Award will be presented to the best paper written solely or mostly by students. Scope Papers are sought which reflect this intent in fundamental ECBS technologies and application domains including, but not limited to the following topics: · Agile and Lean Approaches and Human Aspects of Software Development · Architectures · Advanced Modularity · Cloud-based Applications · Co-Design · Component-Based System Design · Cyber-Physical Systems · Parallel & Distributed Systems · Parallel Programming Methodologies and Languages · FPGA Systems Design · ECBS Infrastructure (Tools and Environments) · Education and Training · Embedded Real-Time Software Systems · Integration Engineering · Lifecycle Processes and Process Evolution · Model-Based System Development · Modeling and Analysis of Complex Systems · Networked Control Systems · Reengineering & Reuse · Reliability, Safety, Dependability, and Security · Software Engineering · System Assessment, Testing, and Metrics · Verification and Validation Industrial reports of practical solutions, trends, and new system characteristics for ECBS, taking an integrated systems approach, are particularly welcome. They may target application domains such as: Aerospace Systems, Command and Control, Continuous and Discrete Manufacturing, Environmental Systems, Instrumentation and Control Applications, Internet Technology and Applications, Intelligent Highway- Vehicle Systems (IHVS), Medical Systems, High Performance Computing Development Environments and Applications, and Telecommunications. Submission of Papers The conference solicits regular (no more than 10 pages) and short papers (no more than 4 pages). The Program Committee may require an accepted paper to be adapted into a short paper or extended abstract (no more than 2 pages and poster presentation only). All papers must be prepared according to the ACM SIG Proceedings Template format (see the conference web site for further information). The papers must be original contributions not submitted or accepted for publication elsewhere. A submitted contribution should clearly indicate the conference topics it targets. For an accepted contribution to be included in the proceedings, at least one author must register and present the paper at the conference. For further information, see the submission guidelines on the conference web site. The conference proceedings will be published by ACM ICPS and archived in the ACM Digital Library. Important Dates · Submission of Papers: 1 May, 2017 · Notification of Acceptance: 1 July, 2017 · Camera-ready Submission: 17 July, 2017 · Registration and Payment for Authors: 17 July, 2017 · Early Registration for Non-Authors: 9 August, 2017 Organization General Chair · George A. Papadopoulos, University of Cyprus, Cyprus Program Chair · Ondrej Rysavy, Brno University of Technology , Czech Republic Program Co-Chair · Valentino Vranic, Slovak University of Technology in Bratislava, Slovakia Steering Committee · Hassan Charaf, ECBS-EERC 2013 General Chair · George Angelos Papadopoulos, General Chair · Miroslav Popovic, ECBS-EERC 2009 General Chair · Ondrej Rysavy, ECBS-EERC 2015 General Chair · Valentino Vranic, ECBS-EERC 2011 General Chair Program Committee http://www.cyprusconferences.org/ecbs2017/organizers.html _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: Subject: International Journal of Big Data Intelligence (IJBDI): Vol. 4, No. 2, April 2017
by Gustaf Neumann 07 Apr '17

07 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: Subject: International Journal of Big Data Intelligence (IJBDI): Vol. 4, No. 2, April 2017 Datum: Sat, 8 Apr 2017 01:15:31 +0800 (CST) Von: CSPlus-Admin <cfp-admin(a)grid.chu.edu.tw> Antwort an: CSPlus-Admin <cfp-admin(a)grid.chu.edu.tw> An: neumann(a)wu-wien.ac.at *************************************************************************************************************************************************************************************************** Apologies if you got multiple copies of this email. If you'd like to opt out of these announcements, information on how to unsubscribe is available at the bottom of this email. *************************************************************************************************************************************************************************************************** ------------------------------------------------------- The contents of the latest issue of: International Journal of Big Data Intelligence (IJBDI) Vol. 4, No. 2, 2017 Published: Quarterly in Print and Electronically ISSN online: 2053-1397; ISSN print: 2053-1389; http://www.inderscience.com/ijbdi ------------------------------------------------------- Dear Distinguished Colleagues, The International Journal of Big Data Intelligence (IJBDI) delighted to announce the publication of the latest issue. We would like to invite you to read the articles. =========================== IJBDI Vol. 4 No. 2 (2017) =========================== http://www.inderscience.com/info/inarticletoc.php?jcode=ijbdi&year=2017&vol… Article #1 Title: Towards a real-time big data analytics platform for health applications Author: Dillon Chrimes; Mu-Hsing Kuo; Belaid Moa; Wei Hu Journal: Int. J. of Big Data Intelligence, 2017 Vol.4, No.2, pp.61 - 80 Abstract: We established a framework construct to form a big data analytics (BDA) platform using real volumes of health big data. Existing high-performance computing (HPC) architecture was utilised with HBase (noSQL database) and Hadoop (HDFS). Generated noSQL database was emulated from metadata and inpatient profiles of Vancouver Island Health Authority's hospital system. Special adjustments of Hadoop's ecosystem and HBase with the addition of 'salt buckets' to ingest were required. Results revealed that HBase took a week's time to generate âŒ10 TB of data for one billion records via ingestion. Hadoop ingestion into HBase only took three seconds. Both simple and complex queries were less than two seconds, and all queries produced accurate patient data results. Data migration performance requirements of our BDA platform can significantly capture large volumes of data while reducing data retrieval times and its linkages to innovative processes and configurations that met patient data s ecurity/privacy standards are discussed. Keywords: big data analytics; BDA; data mining; healthcare technology; high performance computing; HPC; patient data; simulation; HBase; Hadoop; data retrieval; data security; data privacy; privacy protection; privacy preservation. Article #2 Title: Security challenges in cloud computing: state-of-art Author: Kriti Bhushan; B.B. Gupta Journal: Int. J. of Big Data Intelligence, 2017 Vol.4, No.2, pp.81 - 107 Abstract: Cloud computing platform provides on-demand access of services, and these services can also be customised, which enables the customers to use these services as per their requirement and they also need to pay according to their uses. Recent advancements in the field of cloud computing and internet technologies have attracted the organisations to shift their businesses on cloud. However, moving data and applications to a third party services provider also raises critical concern for security and privacy. Availability of cloud services is one of the most important security issues which directly affect the business of the cloud service providers and also its customers. Distributed denial of service (DDoS) attack on cloud is the root cause that challenges the availability of cloud services. This paper presents taxonomy of security issues in cloud, taxonomy of DDoS attacks in cloud, and taxonomy of DDoS defence mechanisms in cloud environment. We have also discussed, analysed, and compared some well-known methods for DDoS attack defence in cloud on different parameters that will help the victim to understand the risk and also assists them to select the proper defence technique to protect their cloud system from DDoS attacks. Keywords: cloud computing; DDoS attacks; distributed DoS; denial of service; availability; cloud security; data security; taxonomy; DDoS defence mechanisms. Article #3 Title: Graph-based semi-supervised classification on very high resolution remote sensing images Author: Yupeng Yan; Manu Sethi; Anand Rangarajan; Ranga Raju Vatsavai; Sanjay Ranka Journal: Int. J. of Big Data Intelligence, 2017 Vol.4, No.2, pp.108 - 122 Abstract: Classification of very high resolution (VHR) remote sensing imagery is a rapidly emerging discipline but faces several challenges owing to the huge scale of the pixel data involved, indiscernibility in the traditionally used features to represent various regions, and the lack of available ground truth data. This paper provides a framework which elegantly overcomes these hurdles by providing a novel semi-supervised learning approach which employs multiscale superpixel tessellation representations of VHR imagery. Superpixels are homogeneous and irregularly shaped regions which form the backbone of our approach and are used to derive novel features by learning a decision tree. Our semi-supervised learning approach works on a superpixel graph and seamlessly combines the large margin capability of a support vector machine (SVM) with a graph-based Laplacian label propagation approach to obtain a novel objective function. Further we also provide a self-contained and easily paralleli sable linear iterative optimisation approach based on the principle of majorisation-minimisation. We evaluate this approach on four different geographic settings with varying neighbourhood types and draw comparisons with the popular and widely used Gaussian multiple instance learning algorithm. Our results showcase several advantages in accuracy and efficiency, which coupled with the ease of model building and inherently parallelisable optimisation make our framework a great choice for deployment in large scale applications like global human settlement mapping and population distribution, and change detection. Keywords: image classification; high resolution images; remote sensing images; superpixel segmentation; image segmentation; ultrametric contour maps; majorisation-minimisation; support vector machines; SVM; graph Laplacian; semi-supervised learning; Gaussian multiple instance learning; label propagation; surrogate function. Article #4 Title: Optimising the calculation of statistical functions Author: AndrÃ© Rodrigues; Carla Silva; Paulo Borges; SÃ©rgio Silva; InÃªs Dutra Journal: Int. J. of Big Data Intelligence, 2017 Vol.4, No.1, pp.123 - 138 Abstract: Statistical data analysis methods are well-known for their difficulty in handling large number of instances or large number of parameters. In this paper, we study popular and well-known statistical functions, generally applied to data analysis, and assess their performance as implemented by SPSS, MATLAB, R and our own software, DataIP. We use medium to large datasets and show that DataIP outperforms SPSS, MATLAB and R by several orders of magnitude. We argue that the design and implementation of these functions need to be rethought to adapt to today's data challenges. Keywords: statistical data analysis; statistical functions; performance evaluation; SPSS; MATLAB; optimisation. === About IJBDI === International Journal of Big Data Intelligence (IJBDI) is a peer reviewed journal publishing original and high-quality articles covering a wide range of topics in big data intelligence. IJBDI provides a rapid forum for the dissemination of original research as well as review/survey articles. The journal has a distinguished editorial board with extensive academic qualifications, ensuring high scientific standards. === CALL FOR PAPERS === The IJBDI invites renowned researchers from various branches of the field to submit manuscripts for publication in the journal. Accepted papers of IJBDI will undergo language copyediting, typesetting, and reference validation in order to provide the highest publication quality. The average reviewing process is about 10 weeks. Note: There are no submission or publication fees for manuscripts submitted to the International Journal of Big Data Intelligence (IJBDI). === IJBDI Coverage === Topics of interest include: -The 5Vs of the data landscape: volume, variety, velocity, veracity, value -Big data science and foundations, analytics, visualisation and semantics -Software and tools for big data management -Security, privacy and legal issues specific to big data -Big data economy, QoS and business models -Intelligence and scientific discovery -Software, hardware and algorithm co-design, high-performance computing -Large-scale recommendation systems and graph analysis -Algorithmic, experimental, prototyping and implementation -Data-driven innovation, computational modelling and data integration -Data intensive computing theorems and technologies -Modelling, simulation and performance evaluation -Hardware and infrastructure, green data centres/environmental-friendly perspectives -Computing, scheduling and resource management for sustainability -Complex applications in areas where massive data is generated The journal welcomes comprehensive survey papers on timely topics. === Special Issue === Experienced researchers and practitioners are welcome to propose, organize, and guest edit special section (3-4 papers) / issue (6-8 papers) around topics of their interest and expertise. Once you propose a Special Issue (SI), you will be the Lead Guest Editor of the Special Issue. We look forward to your stimulating proposals and working with you in ensuring the SI bright. We will be pleased to assist with all questions on the organization of a Special Issue to its publication. Enquiries and special issue proposals should be directed to the editor Prof. Robert Hsu at chh(a)chu.edu.tw === Archive Articles === Vol. 1, No. 1 (2014) *************** pp. 3-17: Big data (lost) in the cloud pp. 18-35: Designing and implementing a cloud-hosted SaaS for data movement and sharing with SlapOS pp. 36-49: Multi-source streaming-based data accesses for MapReduce systems pp. 50-64: A new approach for accurate distributed cluster analysis for Big Data: competitive K-Means pp. 65-73: Peculiarities of numerical algorithms parallel implementation for exa-flops multicomputers Vol. 1, No. 2 (2014) *************** pp. 74-88: Towards quality-of-service driven consistency for Big Data management pp. 89-102: D-CEP4CMA: a dynamic architecture for cloud performance monitoring and analysis via complex event processing pp. 103-113: An extended analytical study of Arabic sentiments pp. 114-126: Health big data analytics: current perspectives, challenges and potential solutions Vol. 1, No. 3 (2014) *************** pp. 127-140: Migrating enterprise applications to the cloud: methodology and evaluation pp. 141-150: A parallel tag affinity computation for social tagging systems using MapReduce pp. 151-165: Innesto: a multi-attribute searchable consistent key/value store pp. 166-171: Anomaly digging approach based on massive RFID data in transportation logistics pp. 172-180: Current trends in predictive analytics of big data Vol. 1, No. 4 (2014) *************** pp. 181-191: Intelligent big data analysis: a review pp. 192-204: Cloud computing for brain segmentation - a perspective from the technology and evaluations pp. 205-214: Provenance for business events PP. 215-229: Should infrastructure clouds be priced entirely on performance? An EC2 case study PP. 230-243: Total exchange routing on hierarchical dual-nets Vol. 2, No. 1 (2015) *************** pp. 2-8: Optimising virtual machine allocation in MapReduce cloud for improved data locality pp. 9-22: An empirical experimentation towards predicting understandability of conceptual schemas using quality metric pp. 23-36: Terms analytics service for CouchDB: a document-based NoSQL PP. 37-44: Energy aware network scheduling for a data centre PP. 45-62: MELA: elasticity analytics for cloud services Vol. 2, No. 2 (2015) *************** pp. 70-80: Heterogeneity-aware scheduler for stream processing frameworks pp. 81-90: Robust fingerprinting codes for database using non-adaptive group testing pp. 91-105: A semantic cloud infrastructure for data-intensive medical research pp. 106-116: Why rank-level fusion? And what is the impact of image quality? pp. 117-126: Malicious traffic analysis on mobile devices: a hardware solution pp. 127-141: A platform for big data analytics on distributed scale-out storage system Vol. 2, No. 3 (2015) *************** pp. 145-156: A survey on big data processing infrastructure: evolving role of FPGA pp. 157-167: Benchmarking multi-GPU communication using the shallow water equations pp. 168-182: Unstructured data mining: use case for CouchDB pp. 183-200: DLS: a cloud-hosted data caching and prefetching service for distributed metadata access pp. 201-221: Classification and comparison of NoSQL big data models Vol. 2, No. 4 (2015) *************** pp. 223-235: Framework for handling personal data: analysis of buying information by questionnaire pp. 236-249: A reference architecture for big data solutions - introducing a model to perform predictive analytics using big data technology pp. 250-261: Big data analysis of swimming pools' impact on household electric intensity in San Antonio, Texas pp. 262-284: Energy-aware service provisioning in volunteers clouds pp. 285-302: A case-based reasoning approach for pattern detection in Malaysia rainfall data Vol. 3, No. 1 (2016) *************** pp. 1-17: Data behaviours model for Big Data visual analytics pp. 18-27: Learning-based text classifiers using the Mahalanobis distance for correlated datasets pp. 28-37: Computer network traffic prediction: a comparison between traditional and deep learning neural networks pp. 38-50: Automated validation of structured large databases: an illustration of material code bulk validation pp. 51-60: Corporate governance fraud detection from annual reports using big data analytics pp. 61-75: Privacy models for big data: a survey Vol. 3, No. 2 (2016) *************** pp. 79-91 A framework for collective I/O style optimisations at staging I/O nodes pp. 92-110 Towards cost-effective and high-performance caching middleware for distributed systems pp. 111-121 Rainfall forecasting by relevant attributes using artificial neural networks - a comparative study pp. 122-141 Multi approach for real-time systems specification: case study of GPU parallel systems Vol. 3, No. 3 (2016) *************** pp. 145-153 Auto-scale: automatic scaling of virtualised resources using neuro-fuzzy reinforcement learning approach pp. 154-162 Service provisioning of flexible advance reservation leases in IaaS clouds pp. 163-175 A trigger-based introspection approach for cloud incident handling pp. 176-181 Discovery of semantic associations in an RDF graph using bi-directional BFS on massively parallel hardware pp. 182-189 Secure multi-owner-based cloud computing scheme for big data pp. 190-201 Distortion-free fragile watermark for relational databases pp. 202-214 PQsel: combining privacy with quality of service in cloud service selection Vol. 3, No. 4 (2016) *************** pp. 215-227 Generic processing of real-time physiological data in the cloud pp. 228-238 SmartRecruiter: a similarity-based team formation algorithm pp. 239-249 Multivariate adaptive community detection in Twitter pp. 250-256 An enhanced usersâ similarity computation utilising one-class collaborative filtering pp. 257-269 Implementing generic PaaS deployment API: repackaging and deploying applications on heterogeneous PaaS platforms pp. 270-278 Design for medical imaging services platform based on cloud computing pp. 279-287 Do app launch times impact their subsequent commercial success? Vol. 4, No. 1 (2016) *************** pp. 3-22 PaloPro: a platform for knowledge extraction from big social data and the news pp. 23-35 Optimising column family for OLAP queries in HBase pp. 26-46 A knowledge-based integrated framework for increasing social management intelligence pp. 47-60 HCEm model and a comparative workload analysis of Hadoop cluster ==================================================================== === IJBDI Editorial Board === Advisory Editors: Rajkumar Buyya (University of Melbourne) Wing-Kwong Chan (City University of Hong Kong) Rong N. Chang (IBM Research, USA) Hui Lei (IBM T. J. Watson Research Center) Vijay Raghavan (University of Louisiana at Lafayette) Sanjay Ranka (University of Florida) Domenico Talia (UniversitÃ della Calabria) Jeffrey Tsai (University of Illinois at Chicago) Hongji Yang (Bath Spa University) Yuanyuan Yang (Stony Brook University) Philip Yu (University of Illinois at Chicago) Albert Zomaya (The University of Sydney) Associate Editors: Jemal Abawajy (Deakin University) Nik Bessis (Edge Hill University) Christophe Cerin (University of Paris 13) Thomas J. Hacker (Purdue University) Hung-Chang Hsiao (National Cheng Kung University) Patrick K. Hung (University of Ontario Institute of Technology) Hai Jin (Huazhong University of Science and Technology) Victor Leung (The University of British Columbia) Keqin Li (State University of New York at New Paltz) Grace Lin (III, Taiwan) Marcin Paprzycki (Polish Academy of Sciences) Marcello Trovati (University of Derby) Yang Xiang (Deakin University) Regional Editors: Pavan Balaji (Argonne National Laboratory) Jinjun Chen (University of technology Sydney) Beniamino Di Martino (Second University of Naples) Bhekisipho Twala (University of Johannesburg) Cho-Li Wang (The University of Hong Kong) Editorial Board: Eyhab Al-Masri (University of Waterloo) Amir H. Alavi (Michigan State University) Bernady O. Apduhan (Kyushu Sangyo University) Yuri Demchenko (University of Amsterdam ) Wei Hu (Nanjing University) Jun Huang (Chongqing University of Posts and Telecommunications) Runhe Huang (Hosei University) Bahman Javadi (University of Western Sydney) Chunxiao Jiang (Tsinghua University) Hai Jiang (Arkansas State University) Alex Mu-Hsing Kuo (University of Victoria) Che-Rung Lee (National Tsing Hua University) Keqiu Li (Dalian University of Technology) PRABHAT MAHANTI (UNIVERSITY OF NEW BRUNSWICK) Victor Malyskin (Russian Academy of Sciences) Stelios Sotiriadis (University of Toronto) Luis Veiga (Instituto Superior TÃ©cnico) Monica Wachowicz (University of New Brunswick) Honggang Wang (University of Massachusetts Dartmouth) Shangguang Wang (Beijing University of Posts and Telecommunications) Yufeng Wang (Nanjing University of Posts and Telecommunications) Tomasz Wiktor Wlodarczyk (University of Stavanger) Jinsong Wu (University de Chile) Feng Xia (Dalian University of Technology) Chu-Sing Yang (National Cheng Kung University) Shui Yu (Deakin University) Daqiang Zhang (Tongji University) Hong Zhu (Oxford Brookes University) Kind regards, Robert Hsu, Editor-in-Chief International Journal of Big Data Intelligence http://www.inderscience.com/ijbdi *************************************************************************************************************************************************************************************************** The CSPlus (Computational Science Publicity and Liaison for Ubiquitous Society) mailing list has been setup to share information with respect to upcoming events. To unsubscribe, please click http://grid.chu.edu.tw/mailling_list/unsubscribe.php?mail=neumann@wu-wien.a… To subscribe another email: please visit http://grid.chu.edu.tw/mailling_list/index.php If you need any help, please email us at cfp-admin(a)grid.chu.edu.tw ***************************************************************************************************************************************************************************************************

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Fwd: [AISWorld] AMCIS 2017 TREO (Technology Research, Education, and Opinion) Talks
by Gustaf Neumann 07 Apr '17

07 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] AMCIS 2017 TREO (Technology Research, Education, and Opinion) Talks Datum: Thu, 6 Apr 2017 18:50:55 +0000 Von: Basoglu, Kamile Asli <asli(a)udel.edu> An: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org> Dear friends and colleagues, Before April 25, we invite you to submit a one-page abstract for a TREO talk. This is an opportunity for you to present a research idea, education paper, or opinion paper on any (IS) or (IT) topic, and get feedback from session attendees. You need only prepare a one-page single-spaced abstract of the research, IS education, or opinion idea. If accepted, at least one of the authors must register for AMCIS 2017. Email your one-page Abstract (as an attachment), to treo.submissions(a)gmail.com<mailto:treo.submissions@gmail.com> no later than April 25, 2017. See submission instructions at http://amcis2017.aisnet.org/submissions/types-of-submissions/ . Topics that might be appropriate for a TREO Talk session * A research idea that you are contemplating, but have not started yet * A research idea that you are developing and would like feedback on * A research idea that you would like to invite collaborators to join you * A cutting edge research topic that you would like feedback on * A teaching tip for an IS/IT class * An innovative teaching idea for an IS/IT class * An idea regarding a new or innovative class for an IS/IT curriculum * Innovative things that you are doing in your IS/IT class * An opinion regarding any aspect of IS/IT Any questions? Send an email to treo.submissions(a)gmail.com<mailto:treo.submissions@gmail.com> . ******************************* K. Asli Basoglu Associate Professor Accounting & MIS Department 213 Purnell Hall, Newark DE 19716 302.831.2962 [Description: Description: Description: cid:29387E64-D771-4821-B1F2-B5E25EB4D443]

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Fwd: [computational.science] TNSM Special Issue on Advances in Big Data Analytics for Management (Submissions due: 3 May 2017)
by Gustaf Neumann 07 Apr '17

07 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: [computational.science] TNSM Special Issue on Advances in Big Data Analytics for Management (Submissions due: 3 May 2017) Datum: Thu, 6 Apr 2017 15:06:07 -0400 Von: Yixin Diao <diao(a)us.ibm.com> An: TNSM_SI-BDM_Mailing_Lists(a)b03ledav005.gho.boulder.ibm.com =========================================================================== IEEE Transactions on Network and Service Management Special Issue on Advances in Big Data Analytics for Management http://www.comsoc.org/tnsm/cfp/si-bdm (Submissions due: 3 May 2017) =========================================================================== Cloud and network analytics can harness the immense stream of operational data from clouds and networks, and can perform analytics processing to improve reliability, configuration, performance, and security management. In particular, we see a growing trend towards using statistical analysis and machine learning to improve operations and management of IT systems and networks. Research is therefore needed to understand and improve the potential and suitability of Big Data analytics in the context of systems and network management. This will not only provide deeper understanding and better decision making based on largely collected and available operational data, but present opportunities for improving data analysis algorithms and methods on aspects such as accuracy and scalability. Moreover, there is an opportunity to define novel platforms that can harness the vast operational data and advanced data analysis algorithms to drive management decisions in networks, data centers, and clouds. IEEE Transactions on Network and Service Management (IEEE TNSM) is a premier journal for timely publication of archival research on the management of networks, systems, services and applications. Following the success of TNSM special issue on Big Data Analytics for Management (September 2016), this special issue of TNSM will focus on "Advances in Big Data Analytics for Management," presenting recent, emerging approaches and technical solutions that can exploit Big Data and analytics in management solutions. We welcome submissions addressing the underlying challenges of Big Data Analytics for Management and presenting novel theoretical or experimentation results. Survey papers that offer a perspective on related work and identify key challenges for future research will be considered as well. ----------------------------------------------------------------------- Topics of Interest Topics of interest for this special issue include, but are not limited, to the following: Big Data Analytics and Machine Learning - Analysis, modelling and visualization - Operational analytics and intelligence - Event and log analytics - Anomaly detection and prediction - Monitoring and measurements for management - Harnessing social data for management - Predictive analytics and real-time analytics - Data mining, statistical modeling, and machine learning for management Application Domains and Management Paradigms - Cloud and network analytics - Data centric management of virtualized infrastructure, clouds and data centers - Data centric management of storage resources and software defined networks - Data centric management of Internet of Things and cyber-physical systems - Platforms for analyzing and storing logs and operational data for management tasks - Applications of Big data analytics to traffic classification, root-cause analysis, service quality assurance, IT service and resource management - Analytics and machine learning applications to cyber-security, intrusion detection, threat analysis, and failure detection ----------------------------------------------------------------------- Paper Submission All papers should be submitted through the IEEE Transactions on Network and Service Management manuscript submission site at https://mc.manuscriptcentral.com/tnsm. Authors must indicate in the submission cover letter that their manuscript is intended for the "Advances in Big Data Analytics for Management" special issue. Each submission will be limited to 14 pages in IEEE 2-column format. Detailed author guidelines can be found at http://www.comsoc.org/tnsm/author-guidelines. ----------------------------------------------------------------------- Important Dates Submission Deadline: May 3, 2017 Author Notification: July 15, 2017 Revision Deadline: September 15, 2017 Final Decision: November 1, 2017 Camera Ready: December 1, 2017 Publication: March 2018 ----------------------------------------------------------------------- Guest Editors Giuliano Casale (Imperial College London, UK) Yixin Diao (IBM T. J. Watson Research Center, USA) Marco Mellia (Politecnico di Torino, Italy) Rajiv Ranjan (Newcastle University, UK) Nur Zincir-Heyood (Dalhousie University, Canada) Albert Zomaya (University of Sydney, Australia) For more information, please contact the guest editors at TNSM.SI.BDM(a)gmail.com. _______________________________________________ computational.science mailing list computational.science(a)lists.iccsa.org https://lists.iccsa.org/mailman/listinfo/computational.science Hosted by Sardina Systems: Hyper-Efficient OpenStack Cloud https://www.sardinasystems.com

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Fwd: [AISWorld] CFP: Data Analytics Management, Governance and Compliance, HICSS-51
by Gustaf Neumann 07 Apr '17

07 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CFP: Data Analytics Management, Governance and Compliance, HICSS-51 Datum: Thu, 6 Apr 2017 22:51:53 +0000 Von: Michael Goul <Michael.Goul(a)asu.edu> An: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> First Call for Papers Hawaii International Conference on System Sciences HICSS-51: January 3-6, 2018 | Hilton Waikoloa Village, Big Island Deadline for submissions: June 15, 2017 Minitrack: Data Analytics Management, Governance and Compliance Track: Organizational Systems and Technology Data analytics have become strategic assets because they can help organizations make better decisions, discover insights, embed intelligence into decision processes to operate at the speed of business and provide inter-organizational partnerships with sharable, actionable information. With the growing importance and proliferation of data analytics, organizations need new theories, frameworks and methodologies that can help them to realize standards and best practices for managing data, developing and deploying models, managing analytics teams, structuring the analytics function within organizations, designing, charging and staffing governance committees, managing project and deployment risk and advancing analytics capability maturity. Managing model assets includes: 1) Designing processes to guarantee adherence to data and analytics governance policies and 2) Establishing model management capabilities that support regulatory compliance requirements. Effective organizational management and governance of data analytic practices are necessary in order to mitigate risks associated with analytics deployment. Organizations need to capture and manage critical meta-information detailing modeling and environmental assumptions underlying analytics solutions, and they need to establish policies and a culture designed to ensure adherence to the highest ethical standards of data management and predictive model deployment. This mini track welcomes submissions of original work addressing challenges, theoretical lenses, frameworks, development, evaluation, and impact of data analytics management, governance, and compliance. We also encourage submissions of research-in-progress as well as those that are practically oriented yet have the potential to make significant contributions to the data analytics research community. Relevant topics for the minitrack include, but are not limited to, the following: Innovative data and analytics governance approaches Data asset management Analytics workflow management Analytic model life-cycle management Model management platform design Model compliance management Model documentation Ethics of data analytics Analytics regulatory risks and risk mitigation Data and model transparency Business value of analytics governance Platform economics and strategy Big data analytics Analytics documentation and metadata design Legal implications of analytics governance policies Managing and deploying champion and challenger models Campaign documentation and model reuse Data and model ownership and contracts Minitrack Co-Chairs: Michael Goul (Primary Contact)? Arizona State University? Michael.Goul(a)asu.edu Zhongju Zhang Arizona State University Zhongju.Zhang(a)asu.edu Deadlines May 15: OPTIONAL: Abstracts submitted to Minitrack Chairs for guidance, indication of appropriate content and to receive instructions on submitting full paper. June 15: Submit full manuscripts for review. August 17: Acceptance notices are emailed to authors by the Review System. At least one author of each accepted paper must immediately make plans to attend the conference, including initiating fiscal, visa, or other travel guarantees. September 22: Accepted authors submit Final Paper. October 1: Early Registration fee deadline. At least one author of each paper should register by Sept 15 in order secure publication in the Conference Proceedings. Michael Goul . Associate Dean for Faculty and Research W. P. Carey School of Business Arizona State University . . . . . . . . . . . . . . . . . . . . . . . . . . p. 480 .727.6031 e. Michael.Goul(a)asu.edu<applewebdata://47D0F2F7-2A9A-4295-855F-C8C2C13E09EB/Michael.Goul@asu.edu> o. BAC 600 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CfP HICSS-51 minitrack on Creation and Appropriation of Knowledge Systems
by Gustaf Neumann 07 Apr '17

07 Apr '17

-------- Weitergeleitete Nachricht -------- Betreff: [WI] CfP HICSS-51 minitrack on Creation and Appropriation of Knowledge Systems Datum: Fri, 7 Apr 2017 12:01:10 +0200 Von: Stefan Smolnik <fuh(a)smolnik.net> Antwort an: Stefan Smolnik <fuh(a)smolnik.net> An: wi(a)aifb.uni-karlsruhe.de (Apologies for cross-postings of this announcement.) ************************************************* CALL FOR PAPERS 51th Annual Hawai'i International Conference on System Sciences (HICSS-51) January 3-6, 2018 (Wednesday-Saturday) Hilton Waikoloa Village (http://www.hiltonwaikoloavillage.com <http://www.hiltonwaikoloavillage.com>) Minitrack: Creation and Appropriation of Knowledge Systems (http://hicss.hawaii.edu/tracks-51/knowledge-innovation-and-entrepreneurial-… <http://hicss.hawaii.edu/tracks-51/knowledge-innovation-and-entrepreneurial-…>) Part of the Track: Knowledge Innovation and Entrepreneurial Systems Minitrack description: The objective of this minitrack is to contribute to the body of knowledge that helps scholars and practitioners increase their collective understanding of 1. how knowledge systems are planned, designed, constructed, implemented, used, evaluated, supported, upgraded, and evolved; 2. how knowledge systems impact the context in which they are embedded; and 3. the human behaviors reflected within and induced through both (1) and (2) (adapted from Benbasat and Zmud 2003). By knowledge system, we mean a system in which human participants and/or machines perform work (processes and activities) related to the creation, retention, transfer and/or application of knowledge using information, technology, and other resources to produce informational products and/or services for internal or external customers (adapted from Alter 2008). Such systems may include, but are not limited to, knowledge management systems, decision systems, social media, expert systems, machine learning systems, and other AI systems as well as any other IT-enabled knowledge management processes. We welcome both design science and design theory research in knowledge systems as well as behavioral research related to the appropriation of knowledge systems in order to span the entire lifecycle of knowledge systems. Topics relevant for submissions include, but are not limited to, the following: * Theoretical models, methodologies, tools as well as technological and managerial practices for planning, designing, constructing, implementing, using, evaluating, supporting and upgrading knowledge systems * Case studies focusing on the implementation of knowledge processes and technologies (e.g., virtual reality, social media, expert systems, data analytics, AI, machine learning, e-learning) * Systems design for social knowledge creation and use (e.g. social media system architectures) * Development of frameworks for classifying knowledge systems * Incorporating and/or integrating knowledge services and mashups, social media, Web 2.0, cloud computing, and/or ubiquitous technologies in knowledge systems * Appropriation and use of social media upon individual users, groups, businesses, and governments for knowledge management * Changing organizational cultures and structures through knowledge systems * Design, evaluation, and/or use of processes, semantic technologies, knowledge retrieval and representation methods, and/or systems to map, track and/or visualize social networks and/or work systems in order to facilitate knowledge creation and sharing and quick problem solving (e.g., when unexpected coordination breakdowns emerge) * Risks and challenges of knowledge systems for knowledge practices (e.g. information overload, technostress, and protection of information assets) * Design processes, representations, and/or kernel (reference) theories for co-designing and/or co-evolving work and knowledge systems * Human computer interaction in a knowledge system context * Issues in, limitations of and barriers to tacit knowledge management * Human behaviors reflected within human-machine structuration phenomena For additional information or to submit abstracts, please contact the minitrack co-chairs: Pierre Hadaya, Université du Québec à Montréal, Canada, hadaya.pierre<at>uqam.ca <http://uqam.ca> W. David Holford, Université du Québec à Montréal, Canada, holford.w_david<at>uqam.ca <http://uqam.ca> Stefan Smolnik (Primary Contact), University of Hagen, Germany, Stefan.Smolnik<at>FernUni-Hagen.de Important Dates for HICSS-51 Paper Submission: April 1, 2017: Paper submission begins June 15, 2017 | 11:59 pm HST: Paper submission deadline August 17, 2017: Notification of Acceptance/Rejection September 22, 2017: Deadline for authors to submit final manuscript for publication October 1, 2017: Deadline for at least one author of each paper to register for HICSS-51 For further submission information, please see the general HICSS-51 Call for Papers (http://hicss.hawaii.edu/tracks-and-minitracks/authors <http://hicss.hawaii.edu/tracks-and-minitracks/authors>). -- 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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