Cfp May 2018

cfp@alice.wu.ac.at

1 participants
134 discussions

Fwd: [WI] "Workshop FCA4AI@IJCAI 2018 (deadline extension)"
by Gustaf Neumann 23 May '18

23 May '18

-------- Forwarded Message -------- Subject: [WI] "Workshop FCA4AI@IJCAI 2018 (deadline extension)" Date: Wed, 23 May 2018 16:30:12 +0200 (CEST) From: Amedeo Napoli <amedeo.napoli(a)loria.fr> Reply-To: Amedeo Napoli <amedeo.napoli(a)loria.fr> To: Sebastian Rudolph <sebastian.rudolph(a)tu-dresden.de>, Sergei Kuznetsov <skuznetsov(a)yandex.ru>, Amedeo Napoli <amedeo.napoli(a)loria.fr> ------------------------------------------------------------------------------------------------------------------- -- FCA4AI (Sixth Edition) -- ``What can FCA do for Artificial Intelligence?'' co-located with IJCAI 2018, Stockholm, Sweden July 13 2018 http://www.fca4ai.hse.ru/2018 ------------------------------------------------------------------------------------------------------------------- General Information. The five preceding editions of the FCA4AI Workshop (ECAI 2016, 2014 and 2012, IJCAI 2015 and 2013) showed that many researchers working in Artificial Intelligence are indeed interested in a powerful method for classification and mining such as Formal Concept Analysis (see CEUR Proceedings Vol-1703, Vol-1430, Vol-1257, Vol-1058, and Vol-939). This year, we have the chance to organize a new edition of the workshop in Stockholm co-located with the IJCAI 2018 Conference. Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. FCA allows one to build a concept lattice and a system of dependencies (implications) which can be used for many AI needs, e.g. knowledge processing, knowledge discovery, knowledge representation and reasoning, ontology engineering, as well as information retrieval, recommendation, social network analysis and text processing. Thus, there exist many ``natural links'' between FCA and AI. Recent years have been witnessing increased scientific activity around FCA, in particular a strand of work emerged that is aimed at extending the possibilities of FCA w.r.t. knowledge processing, such as work on pattern structures and relational concept analysis. These extensions are aimed at allowing FCA to deal with more complex than just binary data, for solving problems in data analysis, knowledge discovery, knowledge representation, ontology engineering, and many more. All these works extend the capabilities of FCA and offer new possibilities for AI activities in the framework of FCA. Accordingly, in this workshop, we will be interested in the following main issues: - How can FCA support AI activities such as knowledge processing (knowledge discovery, knowledge representation and reasoning), learning (clustering, pattern and data mining), natural language processing, or information retrieval? - How can FCA be extended in order to help AI researchers to solve new and complex problems in their domain? The workshop is dedicated to discussing such issues. TOPICS OF INTEREST include but are not limited to: - Concept lattices and related structures: description logics, pattern structures, relational structures. - Knowledge discovery and data mining with FCA: association rules, itemsets and data dependencies, attribute implications, data pre-processing, redundancy and dimensionality reduction, classification and clustering. - Knowledge engineering and ontology engineering: knowledge representation and reasoning. - Scalable algorithms for concept lattices and artificial intelligence ``in the large'' (distributed aspects, big data). - Applications of concept lattices: semantic web, information retrieval, visualization and navigation, pattern recognition, and practical applications in agronomy, biology, chemistry, finance, manufacturing, medicine, etc. The workshop will include time for audience discussion toward developing a better understanding of the issues, challenges, and ideas being presented. IMPORTANT DATES: Submission deadline: June 4th 2018 Notification to authors: June 21 2018 Final version: July 1 2018 Workshop: July 13 2018 SUBMISSION DETAILS: The workshop welcomes submissions in pdf format in Springer's LNCS style. Submissions can be: - technical papers not exceeding 12 pages, - system descriptions or position papers on work in progress not exceeding 6 pages. Submissions are via EasyChair at https://easychair.org/conferences/?conf=fca4ai2018 The workshop proceedings will be published as CEUR proceedings. A selection of the best papers presented at the workshop will be considered for a special issue in a high-level journal. WORKSHOP CHAIRS: Sergei O. Kuznetsov Higher Schools of Economics, Moscow, Russia Amedeo Napoli LORIA-INRIA, Vandoeuvre les Nancy, France Sebastian Rudolph TU Dresden, Germany PROGRAM COMMITTEE (under construction) ------------------------------------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------------------------------------- -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [AISWorld] 21st International Conference on Discovery Science (DS 2018): Second Call for Papers
by Gustaf Neumann 23 May '18

23 May '18

-------- Forwarded Message -------- Subject: [AISWorld] 21st International Conference on Discovery Science (DS 2018): Second Call for Papers Date: Wed, 23 May 2018 15:56:14 +0300 From: George Angelos Papadopoulos <george(a)cs.ucy.ac.cy> To: SIGSAND-L(a)CLIFFY.UCS.MUN.CA, CHI-ANNOUNCEMENTS(a)LISTSERV.ACM.ORG, SIGOPS-ANNOUNCE(a)acm.org, confs-submit(a)hri.org, hellas(a)lists.psu.edu, aisworld(a)lists.aisnet.org *** SECOND CALL FOR PAPERS *** 21st International Conference on Discovery Science (DS 2018) St. Raphael Resort, Limassol, Cyprus, 30-31 October, 2018 http://www.cyprusconferences.org/ds2018 (*** In conjunction with ISMIS 2018 ***) WELCOME The 21st International Conference on Discovery Science (DS 2018) provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. We welcome papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data. We particularly welcome papers addressing applications. Finally, we would like to encourage contributions from the areas of computational scientific discovery, mining scientific data, computational creativity and discovery informatics. DS 2018 will be co-located with ISMIS 2018, the 24th International Symposium on Methodologies for Intelligent Systems. The two conferences will be held in parallel, and will share their invited talks. TOPICS We invite submissions of research papers addressing all aspects of discovery science. We particularly welcome contributions that discuss the application of data analysis, data mining and other support techniques for scientific discovery including, but not limited to, biomedical, astronomical and other physics domains. Applications to massive, heterogeneous, continuous or imprecise data sets are of particular interests. Possible topics include, but are not limited to: • Knowledge discovery, machine learning and statistical methods • Ubiquitous knowledge discovery • Data streams, evolving data and models • Change detection and model maintenance • Active knowledge discovery • Learning from text and web mining • Information extraction from scientific literature • Knowledge discovery from heterogeneous, unstructured and multimedia data • Knowledge discovery in network and link data • Knowledge discovery in social networks • Data and knowledge visualization • Spatial/temporal Data • Mining graphs and structured data • Planning to learn • Knowledge transfer • Computational creativity • Human-machine interaction for knowledge discovery and management • Biomedical knowledge discovery and analysis • Machine learning for high-performance computing, grid and cloud computing • Applications of the above techniques to natural or social sciences PAPER SUBMISSION Papers may contain up to fifteen (15) pages and must be formatted according to the layout supplied by Springer-Verlag for the Lecture Notes in Computer Science series. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the DS 2018 review process Authors can submit their papers electronically via our submission page through Easychair: https://easychair.org/conferences/?conf=ds20180 . PUBLICATION AND JOURNAL SPECIAL ISSUES The DS 2018 proceedings will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and will be available at the conference. Authors of best papers will be invited to submit their extended versions to the Machine Learning journal (https://link.springer.com/journal/10994) published by Springer. Fast Track Processing will be used to have them reviewed and published. IMPORTANT DATES • Paper Submissions due: 18th June 2018 • Notification of Acceptance/Rejection: 18th July 2018 • Camera-Ready Versions of Accepted Papers: 28th July 2018 • Author Registration: 31st Juy 2018 • Early Non-Author Registration: 10th September 2018 • Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE General Chair • George Angelos Papadopoulos (University of Cyprus, Cyprus) Program Committee Co-Chairs • Larisa Soldatova, Goldsmiths, University of London, UK • Joaquin Vanschoren, Eindhoven University of Technology, the Netherlands _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Book Chapters: Blockchain and DLT Use Cases
by Gustaf Neumann 23 May '18

23 May '18

-------- Forwarded Message -------- Subject: [AISWorld] Call for Book Chapters: Blockchain and DLT Use Cases Date: Wed, 23 May 2018 15:22:07 +0200 From: Horst Treiblmaier <horst.treiblmaier(a)modul.ac.at> To: AISWorld(a)lists.aisnet.org *** CALL FOR BOOK CHAPTERS *** Blockchain and Distributed Ledger Technology Use Cases: Applications and Lessons Learned (published by Springer) Within a short couple of years, Blockchain and other trustless systems have turned from being relatively obscure technologies, which were only known to a small community of computer scientists and cryptologists, into mainstream phenomena that are seen as powerful game changers for many industries. Given the manifold potential applications of Blockchain to substitute or remove intermediaries, it does not come as a surprise that the expectations from industry are high or even exaggerated. Simultaneously, various applied academic communities have taken up the subject and actively research either the technology or its implications. Given that the dust of the initial hype has settled, it is now time to explore how sustainable value can be created with the use of Blockchain and related technologies implementing, exploring and evaluating real use cases. For this call for papers, we therefore invite chapters that describe the application of Blockchain and related technologies in real-world use cases. We will publish papers that clearly outline how those technologies have been applied, what the rationale for their application was and, finally, what the outcome was. It is the goal of this book to provide a broad collection of applications, experiences and lessons learned pertaining to a wide variety of industries and application areas, including, but not limited to, financial markets, energy, tourism, SCM, IoT, law and compliance. *** Structure *** We are looking for chapters that thoroughly discuss use cases of Blockchain and related technologies. Each chapter needs to clearly specify how the technology was applied and what exactly the outcome was. Ideally, the authors comment on how those technologies helped to improve performance in comparison to traditional systems. A critical position should be taken and the advantages and disadvantages of Blockchain use should be discussed. We highly appreciated the discussion of failures as long as the case is well-documented. More specifically, the requirements for acceptance are: • Case study is relevant to the book’s theme • Objectives are clear and well-described • Chapter will draw an audience • Chapter is well organized and flows logically • Methodology is appropriate • Evidence supports authors’ arguments *** Formatting *** All final submissions must have 6,000-9,000 words and follow the template provided by the publisher. The references must be formatted following APA style. Submissions that do not use this template or deviate from the formatting requirements will be rejected without review. *** Important Dates *** • Submission of an Extended Abstract (~ 1,000 words): before October 31, 2018 • Submission of the Chapter: before May 31, 2019 *** Procedure *** Interested authors can learn more, or submit a paper, by contacting the editors directly. The Cfp together with templates for MS Word and LaTeX can be found at: https://www.modul.ac.at/about/departments/international-management/projects/ *** Contact *** Horst Treiblmaier, Professor, Head of the Department of International Management, MODUL University Vienna, horst.treiblmaier(a)modul.ac.at Christian Sillaber, Postdoctoral Researcher, christian.sillaber(a)acm.org Trevor Clohessy, Postdoctoral Researcher, trevor.clohessy(a)nuigalway.ie _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 1st CFP: Seventh International Workshop on Modeling and Management of Big Data (MoBiD) - collocated with ER 2018
by Gustaf Neumann 23 May '18

23 May '18

-------- Forwarded Message -------- Subject: [AISWorld] 1st CFP: Seventh International Workshop on Modeling and Management of Big Data (MoBiD) - collocated with ER 2018 Date: Wed, 23 May 2018 11:22:26 +0200 From: Alejandro Maté <amate(a)dlsi.ua.es> To: aisworld(a)lists.aisnet.org [Apologies if you receive multiple copies of this announcement. Please pass it on to your colleagues and students who might be interested in contributing] ================================================================ Call for Papers Seventh International Workshop on Modeling and Management of Big Data (MoBiD) http://www.lucentia.es/workshop/mobid18/ In conjunction with ER2018 (The 37th International Conference on Conceptual Modeling), Xi'an, China, 22-25 October, 2018. http://www.nwpu-bioinformatics.com/ER2018/index.php#content ================================================================ Introduction ----------------- Enormous amounts of data are already present and still rapidly growing due to data sources such as sensors and social networks. There has been an increasing interest in incorporating these huge amounts of external and unstructured data, normally referred to as “Big Data”, into traditional applications. This necessity has made that traditional database systems and processing need to evolve and accommodate them. We view that several key themes with the Big Data trends include (i) managing Big Data projects to discover business values; (ii) developing an architecture for a Big Data environment to conceptualize goals, tasks, and problem-solving methods to apply to domains; (iii) exploring problem-solving methods for Big Data; (iv) using a cloud for managing large-scale external and internal data; and (v) providing an easy-to-use but powerful services to access/manage/analyze the Big Data in the cloud. Therefore, this new era of Big Data and cloud environment requires conceptualization and methods to effectively manage Big Data and accomplish intended business goals. Thus, the objective of MoBiD’18 is to be an international forum for exchanging ideas on the latest and best proposals for modeling and managing Big Data in this new data-driven paradigm. Papers focusing on novel applications and using conceptual modeling approaches for any aspects of Big Data such as Hadoop and its ecosystems, Big Data Analytics, social networking, security and privacy, hybrid cloud, Big Data warehousing, data science topics, etc. are highly encouraged. The workshop will be a forum for researchers and practitioners who are interested in the different facets related to the use of the conceptual modeling approaches for the development of next generation applications based on Big Data. Target audiences and the scope ---------------------------------------------- The scope of the workshop includes several aspects of conceptual modeling in data-driven paradigm, but is not limited to: - Agile modeling for Big Data - Advanced applications with Hadoop or Spark frameworks - Application design and architecture of Big Data environment - Big Data Analytics - Business Process Modeling - Business Intelligence applications and modeling - Conceptual modeling approaches for Big Data - Conceptualization for data-drive paradigm - Data-driven businesses - Using data science approaches for novel analysis and applications - Enterprise modeling and architectures for Big Data projects - Data integration in Big Data environments - Data Integration and management for Hadoop ecosystems - Data virtualization, ELT, or ETL for data integration - Information packaging - Knowledge management for Big Data - Metamodeling - Modeling and management for social network data - Novel applications in Big Data - Interface design and visualization for Big Data - Model-driven development methodologies and approaches - Provenance modeling - Requirements modeling for Big Data applications - Security and privacy in social networks - Software as a Service (SaaS) modeling solutions - Analytics for complex data - Cloud-based analytics - Data mining and warehousing over the cloud - ETL over the cloud - Hybrid cloud - Modeling and management in IOT domains - Smart Cities - Smart health - Education for Big Data and data science - Blockchains Workshop Chairs ------------------------- Il-Yeol Song College of Computing and Informatics Drexel University, Philadelphia, USA Email: songiy(a)drexel.edu Jesús Peral Dept. of Software and Computing Systems University of Alicante, Spain Email: jperal(a)dlsi.ua.es Alejandro Maté Dept. of Software and Computing Systems University of Alicante, Spain Email: amate(a)dlsi.ua.es Program Committee (Will be extended/Modified) ---------------------------------------------------------------------- Yuan An (Drexel University, Philadelphia, USA) Marie-Aude Aufaure (Ecole Centrale Paris, France) Rafael Berlanga Llavori (Universitat Jaume I, Spain) Sandro Bimonte (National Research Institute of Science and Technology for Environment and Agriculture, France) Gennaro Cordasco (Università di Salerno, Italy) Dickson Chiu (University of Hong Kong) Alfredo Cuzzocrea (University of Calabria, Italy) Gill Dobbie (University of Auckland, New Zealand) Jose Luis Fernández-Alemán (University of Murcia, Spain) Eduardo Fernández-Medina Patón (Universidad de Castilla-La Mancha, Spain) Pedro Furtado (Universidade de Coimbra, Portugal) Matteo Golfarelli (University of Bologna, Italy) H. V. Jagadish (University of Michigan, USA) Magnus Johnsson (University of Lund, Sweden) Nectarios Koziris (National Technical University of Athens, Greece) Jiexun Li (Drexel University, Philadelphia, USA) Stephen W. Liddle (Marriott School, Brigham Young University, USA) Alexander Löser (Beuth University of Applied Sciences Berlin, Germany) Antoni Olivé (Universitat Politècnica de Catalunya, Spain) Jeffrey Parsons (Memorial University of Newfoundland, Newfoundland and Labrador, Canada.) Oscar Pastor (Universidad Politécnica de Valencia, Spain) Mario Piattini (Universidad Castilla-La Mancha, Spain) Nicolas Prat (ESSEC Business School, France) Sudha Ram (University of Arizona, USA) Carlos Rivero (University of Sevilla, Spain) Colette Rolland (Université Paris, Panthéon Sorbonne, France) Pablo Sánchez (University of Cantabria, Spain) Keng Siau (Missouri University of Science and Technology, USA) Alkis Simitsis (Hewlett-Packard Co, Palo Alto, California, USA) Alejandro Vaisman (Universidad de la República, Uruguay) Panos Vassiliadis (University of Ioannina, Greece) Submission Guidelines --------------------------------- Formatting instructions MoBiD 2018 proceedings will be part of the ER2018 Workshop volume published by Springer in the LNCS series. The authors must submit manuscripts using the Springer-Verlag LNCS style for Lecture Notes in Computer Science. See the page http://www.springer.de/comp/lncs/authors.html for style files and details. The page limit for workshop papers is 10 pages. The organizers will oversee a peer-review process for the submitted papers. Manuscripts not submitted in the LNCS style or having more than 10 pages will not be reviewed and thus automatically rejected. The papers need to be original and not submitted or accepted for publication in any other workshop, conference, or journal. Submission to MoBiD 2018 will be electronically only. Submission instructions All workshop abstracts and papers should be uploaded by using the EasyChair system: https://www.easychair.org/conferences/?conf=er2018 Important Dates ----------------------- Paper submission: June 25, 2018 Author notification: July 15, 2018 Camera-ready: July 31, 2018 Workshop: October 22-25, 2018 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] Call for Papers: Machine Learning in Business Networks - Deadline Extension
by Gustaf Neumann 23 May '18

23 May '18

-------- Forwarded Message -------- Subject: [WI] Call for Papers: Machine Learning in Business Networks - Deadline Extension Date: Wed, 23 May 2018 08:24:20 +0200 From: Electronic Markets <editors(a)electronicmarkets.org> Reply-To: Electronic Markets <editors(a)electronicmarkets.org> To: wi(a)aifb.uni-karlsruhe.de ***Apologies for cross-postings*** ** *Electronic Markets – The International Journal on Networked Business* *Call for Papers* *Machine Learning in Business Networks*** ** *Guest Editors* * Volker Bach, Steinbeis University Berlin, STI Business and Software Engineering, Germany, volker.bach(a)stw.de * Junbin Gao, University of Sydney Business School, Australia, Junbin.gao(a)sydney.edu.au <mailto:Junbin.gao@sydney.edu.au> * Xi Chen, Nanjing University Business School, China, chenx(a)nju.edu.cn *Theme* An ever-expanding digital world has created a desire for increasingly smart business applications. Virtually every enterprise now aims to explore and harness the full potential of large data volumes. For data-driven goals, machine learning offers the opportunity of automated extraction and processing of actionable information from vast amounts of raw data. While the investigation of learning problems as well as the development and analysis of learning systems can be considered as a dynamic, yet well-established research area, the broad application of machine learning in business contexts gains more and more attention from both researchers and practitioners. These business contexts result in a wide range research objects: single business decisions which benefit from incremental improvements of existing analytical applications; entire business processes with their innovation and improvement cycles; business networks that interact based on new types of products and services and the like. The substantial impact of machine learning technologies on these research objects causes growing demand for adequate approaches in research and practice. On the level of information systems this includes methods for the management of the enterprise architecture based on envisioned next generation enterprise systems. In the areas of organizational and strategic design, several approaches need to be extended or re-thought, including the definition and improvement of business processes and their management, the creation and integration of new product and service offerings as well as the coordination and (re-)configuration of business networks. Deepening knowledge about the underlying causal relationships between design decisions, actors’ behavior, and business outcomes is an ongoing and challenging task that deserves to be addressed by researchers, managers and decision makers seeking for innovative and sustainable business models. *Central issues and topics* Possible topics of submissions include, but are not limited to: /Machine Learning Applications in Business Networks/ *Concepts for designing, developing, integrating, and managing machine learning applications in business networks *Design and evaluation of machine learning applications all along the value chain /Adoption of Machine Learning Technology/ *Roadmaps and success factors of machine learning adoption *Impacts of machine learning on IS/IT organizations *Machine learning in enterprise systems development and integration ** /Conceptual Integration of Machine Learning/ *Fundamental impacts of machine learning on the understanding of business networks *Machine learning in business process development We encourage contributions with a broad range of methodological approaches, including conceptual, qualitative and quantitative research. All papers should fit the scope of Electronic Markets (for more information see http://www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind peer review process. If you would like to discuss any aspect of the special issue, please contact the guest editors. *Submission* Electronic Markets is a SSCI-listed journal (IF 1.864) and requires that all papers must be original and not published or under review elsewhere. Papers must be submitted via our electronic submission system at http://elma.edmgr.comand conform to Electronic Markets publication standards (see instructions and templates at http://www.electronicmarkets.org/authors_)_. Please note that the preferred article length is around 8,000 words. *Important deadline* * Submission Deadline: July 15, 2018 Rainer Alt and Hans-Dieter Zimmermann Editors-in-Chief Electronic Markets - The International Journal on Networked Business c/o Information Systems Institute University of Leipzig Grimmaische Str. 12, 04109 Leipzig, Germany http://www.electronicmarkets.org/ https://twitter.com/journal_EM https://www.facebook.com/ElectronicMarkets Journal Impact Factor: 1.864 -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [AISWorld] Call for Papers: Machine Learning in Business Networks - Deadline Extension
by Gustaf Neumann 23 May '18

23 May '18

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers: Machine Learning in Business Networks - Deadline Extension Date: Wed, 23 May 2018 08:25:04 +0200 From: Electronic Markets <editors(a)electronicmarkets.org> To: aisworld(a)lists.aisnet.org ***Apologies for cross-postings*** Electronic Markets - The International Journal on Networked Business Call for Papers Machine Learning in Business Networks Guest Editors * Volker Bach, Steinbeis University Berlin, STI Business and Software Engineering, Germany, volker.bach(a)stw.de * Junbin Gao, University of Sydney Business School, Australia, <mailto:Junbin.gao@sydney.edu.au> Junbin.gao(a)sydney.edu.au * Xi Chen, Nanjing University Business School, China, chenx(a)nju.edu.cn Theme An ever-expanding digital world has created a desire for increasingly smart business applications. Virtually every enterprise now aims to explore and harness the full potential of large data volumes. For data-driven goals, machine learning offers the opportunity of automated extraction and processing of actionable information from vast amounts of raw data. While the investigation of learning problems as well as the development and analysis of learning systems can be considered as a dynamic, yet well-established research area, the broad application of machine learning in business contexts gains more and more attention from both researchers and practitioners. These business contexts result in a wide range research objects: single business decisions which benefit from incremental improvements of existing analytical applications; entire business processes with their innovation and improvement cycles; business networks that interact based on new types of products and services and the like. The substantial impact of machine learning technologies on these research objects causes growing demand for adequate approaches in research and practice. On the level of information systems this includes methods for the management of the enterprise architecture based on envisioned next generation enterprise systems. In the areas of organizational and strategic design, several approaches need to be extended or re-thought, including the definition and improvement of business processes and their management, the creation and integration of new product and service offerings as well as the coordination and (re-)configuration of business networks. Deepening knowledge about the underlying causal relationships between design decisions, actors' behavior, and business outcomes is an ongoing and challenging task that deserves to be addressed by researchers, managers and decision makers seeking for innovative and sustainable business models. Central issues and topics Possible topics of submissions include, but are not limited to: Machine Learning Applications in Business Networks * Concepts for designing, developing, integrating, and managing machine learning applications in business networks * Design and evaluation of machine learning applications all along the value chain Adoption of Machine Learning Technology * Roadmaps and success factors of machine learning adoption * Impacts of machine learning on IS/IT organizations * Machine learning in enterprise systems development and integration Conceptual Integration of Machine Learning * Fundamental impacts of machine learning on the understanding of business networks * Machine learning in business process development We encourage contributions with a broad range of methodological approaches, including conceptual, qualitative and quantitative research. All papers should fit the scope of Electronic Markets (for more information see <http://www.electronicmarkets.org/about-em/scope/> http://www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind peer review process. If you would like to discuss any aspect of the special issue, please contact the guest editors. Submission Electronic Markets is a SSCI-listed journal (IF 1.864) and requires that all papers must be original and not published or under review elsewhere. Papers must be submitted via our electronic submission system at <http://elma.edmgr.com> http://elma.edmgr.com and conform to Electronic Markets publication standards (see instructions and templates at <http://www.electronicmarkets.org/authors> http://www.electronicmarkets.org/authors). Please note that the preferred article length is around 8,000 words. Important deadline * Submission Deadline: July 15, 2018 Rainer Alt and Hans-Dieter Zimmermann Editors-in-Chief Electronic Markets - The International Journal on Networked Business c/o Information Systems Institute University of Leipzig Grimmaische Str. 12, 04109 Leipzig, Germany <http://www.electronicmarkets.org/> http://www.electronicmarkets.org/ <https://twitter.com/journal_EM> https://twitter.com/journal_EM <https://www.facebook.com/ElectronicMarkets> https://www.facebook.com/ElectronicMarkets Journal Impact Factor: 1.864 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [wkwi] Call for Papers: Machine Learning in Business Networks - Deadline Extension
by Gustaf Neumann 23 May '18

23 May '18

-------- Forwarded Message -------- Subject: [wkwi] Call for Papers: Machine Learning in Business Networks - Deadline Extension Date: Wed, 23 May 2018 08:31:52 +0200 (CEST) From: Electronic Markets <editors(a)electronicmarkets.org> Reply-To: postmaster(a)seda.wiai.uni-bamberg.de ***Apologies for cross-postings*** ** *Electronic Markets – The International Journal on Networked Business* *Call for Papers* *Machine Learning in Business Networks*** ** *Guest Editors* * Volker Bach, Steinbeis University Berlin, STI Business and Software Engineering, Germany, volker.bach(a)stw.de * Junbin Gao, University of Sydney Business School, Australia, Junbin.gao(a)sydney.edu.au <mailto:Junbin.gao@sydney.edu.au> * Xi Chen, Nanjing University Business School, China, chenx(a)nju.edu.cn *Theme* An ever-expanding digital world has created a desire for increasingly smart business applications. Virtually every enterprise now aims to explore and harness the full potential of large data volumes. For data-driven goals, machine learning offers the opportunity of automated extraction and processing of actionable information from vast amounts of raw data. While the investigation of learning problems as well as the development and analysis of learning systems can be considered as a dynamic, yet well-established research area, the broad application of machine learning in business contexts gains more and more attention from both researchers and practitioners. These business contexts result in a wide range research objects: single business decisions which benefit from incremental improvements of existing analytical applications; entire business processes with their innovation and improvement cycles; business networks that interact based on new types of products and services and the like. The substantial impact of machine learning technologies on these research objects causes growing demand for adequate approaches in research and practice. On the level of information systems this includes methods for the management of the enterprise architecture based on envisioned next generation enterprise systems. In the areas of organizational and strategic design, several approaches need to be extended or re-thought, including the definition and improvement of business processes and their management, the creation and integration of new product and service offerings as well as the coordination and (re-)configuration of business networks. Deepening knowledge about the underlying causal relationships between design decisions, actors’ behavior, and business outcomes is an ongoing and challenging task that deserves to be addressed by researchers, managers and decision makers seeking for innovative and sustainable business models. *Central issues and topics* Possible topics of submissions include, but are not limited to: /Machine Learning Applications in Business Networks/ *Concepts for designing, developing, integrating, and managing machine learning applications in business networks *Design and evaluation of machine learning applications all along the value chain /Adoption of Machine Learning Technology/ *Roadmaps and success factors of machine learning adoption *Impacts of machine learning on IS/IT organizations *Machine learning in enterprise systems development and integration ** /Conceptual Integration of Machine Learning/ *Fundamental impacts of machine learning on the understanding of business networks *Machine learning in business process development We encourage contributions with a broad range of methodological approaches, including conceptual, qualitative and quantitative research. All papers should fit the scope of Electronic Markets (for more information see http://www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind peer review process. If you would like to discuss any aspect of the special issue, please contact the guest editors. *Submission* Electronic Markets is a SSCI-listed journal (IF 1.864) and requires that all papers must be original and not published or under review elsewhere. Papers must be submitted via our electronic submission system at http://elma.edmgr.comand conform to Electronic Markets publication standards (see instructions and templates at http://www.electronicmarkets.org/authors_)_. Please note that the preferred article length is around 8,000 words. *Important deadline* * Submission Deadline: July 15, 2018 Rainer Alt and Hans-Dieter Zimmermann Editors-in-Chief Electronic Markets - The International Journal on Networked Business c/o Information Systems Institute University of Leipzig Grimmaische Str. 12, 04109 Leipzig, Germany http://www.electronicmarkets.org/ https://twitter.com/journal_EM https://www.facebook.com/ElectronicMarkets Journal Impact Factor: 1.864

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Fwd: [AISWorld] Intelligent Environments 2018 - Call for partecipation
by Gustaf Neumann 22 May '18

22 May '18

-------- Forwarded Message -------- Subject: [AISWorld] Intelligent Environments 2018 - Call for partecipation Date: Tue, 22 May 2018 17:57:58 +0200 From: Massimo Mecella <mecella(a)diag.uniroma1.it> To: aisworld(a)lists.aisnet.org ----------------------------------------------------- IE 2018 The 14th International Conference on Intelligent Environments In cooperation with: IEEE Systems, Man, and Cybernetics Society, IOS Press, and Association for the Advancement of Artificial Intelligence (AAAI) >>> 25-28 June 2018 <<< >>> Rome, Italy >>> http://www.intenv.org/ ----------------------------------------------------- Highlights - 3 keynote speeches from Fahim Kawsar, Jun Luo, and Hideki Hashimoto, cf. http://www.intenv.org/?q=conferences/ie18/keynotesSpeakers18 - 9 workshops on June 25th and 26th, cf. http://www.intenv.org/?q=content/workshops18 - 6 tutorials on 25 & 26 (during workshops) 3 tutorials on 27 & 28 (during conference), cf. http://www.intenv.org/?q=content/tutorials18 - 10 full papers and 5 short papers - a Doctoral Colloquium - an enjoyable social program, with a workshop dinner on June 25th, a reception on June 26th and a social party on June 27th The complete IE 2018 program has been published, cf. http://www.intenv.org/sites/default/files/IE%202018%20Program.pdf EARLY REGISTRATION EXPIRES : 11 June 2018 ONLINE REGISTRATION TILL : 18 June 2018 (after only registrations on-site are possible) Intelligent Environments (IEs) refer to physical spaces into which IT and other pervasive computing technology are woven and used to achieve specific goals for the user, the environment or both. IEs have the ultimate objective of enriching user experience, better manage, and increase user awareness of, that environment. The conference provides a multidisciplinary collaborative forum for researchers and practitioners from Computer Science, Electronic Engineering, Building Architecture, Art & Design, Sociology, Government and Education to present theoretical and practical results related to the development and applications of Intelligent Environments. ORGANIZING COMMITTEE >> General Chairs Massimo Mecella, Sapienza Università di Roma, Italy Juan Augusto, Middlesex University London, UK >> Program Chairs Daniele Riboni, Università di Cagliari, Italy Paul Lukowicz, DFKI, Germany >> Workshop Chairs Ioannis Chatzigiannakis, Sapienza Università di Roma, Italy Paulo Novais, Universidade do Minho, Portugal >> Publications Chairs Davy Preuveneers, KUL, Belgium, Special Issues Simon Egerton, La Trobe University, Australia, IEEE >> Posters & Short papers Chairs Wolfgang Minker, Ulm University, Germany Claudio Gallicchio, Università di Pisa, Italy >> Doctoral Colloquium Chairs Antonio Coronato, CNR-ICAR, Italy Gordon Hunter, Kingston University, UK >> Demos & Video Chairs Francesco Leotta, Sapienza Università di Roma, Italy Andres Munoz, UCAM, Spain >> Keynotes & Tutorials Chairs Oliver Amft, University Passau, Germany Yoshito Tobe, Aoyama Gakuin University, Japan >> Publicity & WWW & Social Media Chairs Daniele Sora, Sapienza Università di Roma, Italy Jeannette Chin, Anglia Ruskin University, UK Kevin I-Kai Wang, University of Auckland, New Zealand Shirin Shahsavand, WSU, USA >> Professional Society Liaison Diane Cook, WSU, USA >> Industrial Forum Chair(s) Andrea Vitaletti, Sapienza Università di Roma, Italy _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] second call: .CFP HICSS-52 Minitrack on Emerging Issues in Distributed Group Decision-Making
by Gustaf Neumann 22 May '18

22 May '18

-------- Forwarded Message -------- Subject: [AISWorld] second call: .CFP HICSS-52 Minitrack on Emerging Issues in Distributed Group Decision-Making Date: Tue, 22 May 2018 18:49:36 +0000 From: Anil Aggarwal <aaggarwal(a)ubalt.edu> To: 'AISWorld(a)lists.aisnet.org' <AISWorld(a)lists.aisnet.org> Dear Colleagues: After successful sessions last four years, we are continuing our mini track on Emerging Issues in Distributed Group Decision-Making: Opportunities and Challenges at the HICSS Conference. We invite you to submit your paper to our minitrack . A call for papers is attached. http://home.ubalt.edu/ntsbagga/hicss_52.pdf Regards, Anil Aggarwal University of Baltimore USA Doug Vogel Harbin Institute of technology PRC Yuko SJ Murayama Tsuda College Japan CALL FOR PAPERS FOR the Mini-track Emerging Issues in Distributed Group Decision-Making: Opportunities and Challenges<http://home.ubalt.edu/ntsbagga/hicss_52.pdf> (Part of the Collaboration Systems and Technology track ) HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS-52<http://http:/www.hicss.org/>) January 8-11, 2019 Grand Wailea Resorts Maui Given the current turbulent state of world economy, outsourcing is coming under tremendous pressure. Companies are no longer providing long-term contracts but are renewing them based on deliverables from outsourced companies. This is putting tremendous pressure on teams to deliver quality product on time. Team adaptability and team configuration are becoming crucial to meet deadlines. Teams must be able to adapt quickly to the changing environment. Agile teams adapt and deliver quickly and provide maximum customer satisfaction. By definition, however, agile teams must be co-located. Can distributed teams be agile and adaptable? This requires careful team configuration. Distributed teams face many challenges of time, location, infrastructure, language, customs, socialization and politics. This is further compounded in globally distributed teams by diversity, nationality and cultural issues. As old issue are resolved, new challenges emerge that require knowledge from multiple disciplines such as information systems, social sciences, international management, leadership and political science. It is almost impossible for one individual to have expertise in so many domains, which makes this a very challenging but ultimately rewarding collaborative area of research. Given the richness and research potential of this area, it is essential to brainstorm and bring diverse points of view to develop underlying theory and frameworks. The mini track will attempt to accomplish these objectives. The mini track will address emerging issue such as diversity, culture, adaptability and agility related to teams in distributed group decision making, as well as the underlying theories of group dynamics, coordination, communications and decision-making in distributed environments, in creation of competitive advantage. Examples of topics in the discussion of globally distributed decision making mini-track will include the following (but are not limited to): * Fake news impact on collaboration * Disaster management * Swift team collaboration * Collaboration among virtual groups * Sub groups impact on team collaboration * Big data collaboration * E-government(s) inter- , intra-collaboration * Collaboration through crowdsourcing * Emergency disaster planning through collaboration * Collaboration in the cloud. * Public-private collaboration * Delivering health services through collaboration * Economics of distributed decision making in the clouds * Trust and distrust as motivator in distributed decision making * Can agile teams be globally distributed? * Agile/Adaptable team configuration in globally distributed teams * The "e (internet)" to "m (mobile)" transformation of globally distributed teams * Communication and coordination in globally distributed teams * Diversity issues in globally distributed teams * Customer satisfaction, performance and "trust" building in globally distributed teams * Synchronous and asynchronous decision making in globally distributed teams * Comparison of issues across internal, inter-, intra and offshore distributed teams * Turbulent economy and its impact on outsourcing * Leadership/cohesiveness issues in globally distributed teams * Issues related to functional and dysfunctional globally distributed teams * Security, privacy and risk associated with globally distributed teams * Case Studies (success/failures) related to decision making by globally distributed teams Contact Information for Mini-Track Chair: Dr. A. K. Aggarwal** University of Baltimore, USA 410-8375275 aaggarwal(a)ubalt.edu<mailto:aaggarwal@ubalt.edu> Dr. Doug Vogel Harbin Institute of technology PRC isdoug(a)hit.edu.cn<mailto:isdoug@hit.edu.cn> Dr. Yuko SJ Murayama Tsuda College Japan murayama(a)tsuda.ac.jp<mailto:murayama@tsuda.ac.jp<mailto:murayama@tsuda.ac.jp%3cmailto:murayama@tsuda.ac.jp>> Important Deadlines: * April 15 - Paper submission site launched. * June 15 Submit full manuscripts for review as instructed. The review is double-blind; therefore, this initial submission must be without author names. * Aug 17 Review System emails Acceptance/Rejection Notices to authors. It is very important that at least one author of each accepted paper attend the conference. Therefore, all travel guarantees - including visa or fiscal/ funding procedures - should begin immediately. * Sept 22 SUBMIT FINAL PAPER. Add author names to your paper, and submit your Final Paper for Publication to the site provided in your Acceptance Notice. (This URL is not public knowledge.) * Oct 1 Early Registration fee deadline. At least one author of each paper should register by this date in order secure publication in the Proceedings. Fees will increase on Oct 2 and Dec 2. * Oct 15 Papers without at least one paid-in-full registered author may be deleted from the Proceedings and not scheduled for presentation; authors will be so notified by the Conference Office. For the latest information visit the HICSS web site at: http://www.hicss.hawaii.edu/ CONFERENCE ADMINISTRATION: Tung Bui, Conference Chair Email: tungb(a)hawaii.edu<mailto:tungb@hawaii.edu> Thayanan Phuaphanthong, Conference Administrator Email: hicss(a)hawaii.edu<mailto:hicss@hawaii.edu> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Blockchain Applied Free Web Conference June 7
by Gustaf Neumann 22 May '18

22 May '18

-------- Forwarded Message -------- Subject: [AISWorld] Blockchain Applied Free Web Conference June 7 Date: Tue, 22 May 2018 10:15:59 -0700 From: Nicole Purviance <nicole.purviance(a)sjsu.edu> To: aisworld(a)lists.aisnet.org Blockchain technology is a hot topic, and researchers are exploring its full impact within the community and around the globe. Join the San Jose State University School of Information for its free web conference on blockchain technology's potential for libraries. Registration is free! Event: Blockchain Applied: Impact on the Information Profession Date: June 7, 2018 Time: Noon to 3 p.m. Pacific Time Register at: https://www.eventbrite.com/e/library-2018-blockchain-applied-impact-on-the-i nformation-profession-registration-40098784544 Keynote speaker Jason Griffey, an award-winning technology expert, will get the conversation started with an explanation of blockchain. A panel will further the discussion by taking a closer look at standards for library blockchain, legal concerns, security in libraries, and how to use blockchains to authenticate and preserve public discourse. Concurrent sessions will cover applying blockchain technology to the information disciplines, such as healthcare, records management, and librarianship. Specific applications like using blockchain to extend community-based library collections and establish provenance and authenticity in the visual arts will also be discussed. The final 30 minutes will help attendees pull it all together and envision the growing possibilities of blockchain technology applications and the impact on the information profession. Pros and concerns of blockchain technology will be addressed, with the keynote panel providing final food for thought. A full list of speakers is available on the conference website <http://www.library20.com/page/blockchain> . To attend live, please register for the conference <https://www.eventbrite.com/e/library-2018-blockchain-applied-impact-on-the- information-profession-registration-40098784544> . The final conference schedule with links to join the sessions will be emailed to all conference registrants. Those who register in advance will also receive the recording links. Please use #library2018 and #libraryblockchain on your social media posts leading up to and during the event. The Library 2.018 "Blockchain Applied" conference is part of the IMLS-funded grant project <http://ischool.sjsu.edu/about/news/detail/investigation-digs-blockchain-tec hnology-benefits-information-centers> awarded to the SJSU School of Information <http://ischool.sjsu.edu/> to investigate the potential uses of blockchain technology for the information profession. It is the second of three Library 2.0 <http://www.library20.com/> online conferences planned for 2018. For more information on blockchain technology and resources, visit the project website <https://ischoolblogs.sjsu.edu/blockchains/> . If you have any questions, please send an email to ischool(a)sjsu.edu. Mark Your Calendar: * Blockchain National Forum: August 6, 2018, via live stream * ALA Blockchain Webinar: September 24, 2018, 12 - 1 p.m. CT * Library 2.018: Social Crisis Management in a 21st Century World, October 17, 2018, 12 - 3 p.m. PT Contact: Nicole Purviance Director of Marketing and Communications School of Information San Jose State University One Washington Square San Jose, CA 95192-0029 nicole.purviance(a)sjsu.edu http://ischool.sjsu.edu _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Cfp May 2018