Cfp September 2018

cfp@alice.wu.ac.at

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Fwd: [WI] Call for Papers: Special Issue on "Hybrid Intelligence in Business Networks"
by Gustaf Neumann 28 Sep '18

28 Sep '18

-------- Forwarded Message -------- Subject: [WI] Call for Papers: Special Issue on "Hybrid Intelligence in Business Networks" Date: Fri, 28 Sep 2018 13:03:04 +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* *Special Issue on "Hybrid Intelligence in Business Networks"* ** *Guest Editors* * Philipp Ebel, University of St. Gallen, Switzerland: philipp.ebel@unisg. <mailto:philipp.ebel@unisg.>_ch_ * Matthias Söllner, University of Kassel, Germany: soellner(a)uni-kassel.de <javascript:linkTo_UnCryptMailto('wksvdy4cyovvxobJexs7ukccov8no');> * Jan Marco Leimeister, University of St. Gallen, Switzerland: _janmarco.leimeister(a)unisg.ch_ * Kevin Crowston, Syracuse University, NY, USA: crowston(a)syr.edu <mailto:crowston@syr.edu> __ * Gert-Jan de Vreede, University of South Florida, USA:__gdevreede@usf.edu <mailto:gdevreede@usf.edu> *Theme* New technological innovations enable the development of productive AI solutions that provide compelling benefits in various fields of application. As of now, artificial intelligence systems reached a level of productivity where they do have the potential to reduce business costs, enhance business analytics, and improve the quality of managerial decisions. Leading technology firms such as Google, Apple, Microsoft or IBM are making huge investments in AI systems, to create additional value for their customers. In sum, the investments of silicon valley’s most prominent firms in AI technologies has quadrupled from 2010 to 2015, and now reaches approximately $8.5 billion (Economist 2016 <#_ENREF_2>_)_. As a consequence, there is a broad consensus that artificial intelligence has the potential to deliver huge economic benefits for consumers and companies (Jordan und Mitchell 2015 <#_ENREF_4>). Despite these recent advances, the development of human-level, general AI in the next decades is rather doubted. Instead, the concept of hybrid intelligence gained increasing popularity in recent years (Horvitz 2014 <#_ENREF_3>). This concept aims at using the complementary strengths of human intelligence and AI to behave more intelligent than each of the two could be in separation (Kamar 2016 <#_ENREF_5>). While machines are particularly good in consistently solving repetitive tasks that require the fast procession of huge amount of data, humans have superior capabilities for emphatic or intuitive tasks. Therefore, artificial intelligence rather augments the human judgement through providing predictive assistance. In such settings, where AI provides the human with input that is then evaluated to make a judgement, human and machines act as teammates. Vice versa, AI systems can benefit and learn from human input. This approach allows to integrate human domain knowledge in the AI to design, complement and evaluate the capabilities of machine intelligence. In this regard, hybrid intelligence systems constitute digital networks in which different research questions, such as task specification, creation of incentives, task allocation, quality assessment, task aggregation, and compensation mechanisms have to be addressed. By now, articles in the field have concentrated on the technological issues that are related to the development of hybrid intelligent systems and highlight the novelty character of this concept _(_Cheng und Bernstein 2015 <#_ENREF_1>_; _Kamar 2016 <#_ENREF_5>). Additional insights into the relationships between design decisions, actors’ behavior, and business outcomes therefore constitutes a promising avenue for further research that deserves to be addressed by researchers and practitioners. Therefore, the time is now to call for theoretical and empirical underpinnings of hybrid intelligence can be utilized. *Central issues and themes* Possible topics of submissions include, but are not limited to: *Generalizable models, methodologies and theories to design and facilitate the interaction between human intelligence and machine intelligence in different kinds of digital production networks *Approaches for a new division of labor between AI and humans in business networks *Decision models for deciding whether, when and how to access human input *Effectiveness of different training strategies in improving the performance of workers for accomplishing complex business tasks *Design of incentive structures that motivate actors to participate in a network of humans and machines *Approaches for increasing user acceptance of systems with AI components *Collaborative work practices in which AI acts as a teammate or facilitates human collaboration *Approaches for a new division of labor in references to the task structure and capabilities of AI and humans *Approaches for increasing user acceptance of new business networks with AI components *Design, implementation and evaluation of exemplar instances of Human-AI-Collaboration *Legal aspects of Human-AI-Collaboration in business networks 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 3.818) and requires that all papers be original and not published or under review elsewhere. Papers must be submitted via our the journal’s 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, excluding references. *Important deadline* * Submission Deadline: May 1, 2019 *References* Cheng, J. & Bernstein, M.S. (2015). Flock: Hybrid Crowd-Machine Learning Classifiers. Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, ACM. Economist (2016). Artificial Intelligence - Million-Dollar Babies.April, 2^nd , https://www.economist.com/business/2016/04/02/million-dollar-babies. Horvitz, E. (2014). One Hundred Year Study on Artificial Intelligence: Reflections and Framing, Oxford University Research Paper. Jordan, M. I. & Mitchell, T.M. (2015). Machine Learning: Trends, Perspectives, and Prospects. Science 349(6245): 255-260. Kamar, E. (2016). Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence. Proceedings of the International Joint Conference on Artificial Intelligence, New York. Rainer Alt and Hans-Dieter Zimmermann Editors-in-Chief ==================================================================== Electronic Markets - The International Journal on Networked Business ==================================================================== Editors-in-Chief: Rainer Alt, Leipzig University and Hans-Dieter Zimmermann, FHS St. Gallen, University of Applied Sciences Executive Editor: Maxi Herzog, Leipzig University Editorial Office: c/o Information Systems Institute Leipzig University 04109 Leipzig, Germany Mail: editors(a)electronicmarkets.org Phone: +49-341-9733600 electronicmarkets.org facebook.com/ElectronicMarkets twitter.com/journal_EM http://springer.com/tocsubscription/12525 Impact Factor: 3.818 -- 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: [wkwi] Call for Papers: Special Issue on "Hybrid Intelligence in Business Networks"
by Gustaf Neumann 28 Sep '18

28 Sep '18

-------- Forwarded Message -------- Subject: [wkwi] Call for Papers: Special Issue on "Hybrid Intelligence in Business Networks" Date: Fri, 28 Sep 2018 13:19:42 +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* *Special Issue on "Hybrid Intelligence in Business Networks"* ** *Guest Editors* * Philipp Ebel, University of St. Gallen, Switzerland: philipp.ebel@unisg. <mailto:philipp.ebel@unisg.>_ch_ * Matthias Söllner, University of Kassel, Germany: soellner(a)uni-kassel.de <javascript:linkTo_UnCryptMailto('wksvdy4cyovvxobJexs7ukccov8no');> * Jan Marco Leimeister, University of St. Gallen, Switzerland: _janmarco.leimeister(a)unisg.ch <mailto:janmarco.leimeister@unisg.ch>_ * Kevin Crowston, Syracuse University, NY, USA: crowston(a)syr.edu <mailto:crowston@syr.edu> __ * Gert-Jan de Vreede, University of South Florida, USA:__gdevreede@usf.edu <mailto:gdevreede@usf.edu> *Theme* New technological innovations enable the development of productive AI solutions that provide compelling benefits in various fields of application. As of now, artificial intelligence systems reached a level of productivity where they do have the potential to reduce business costs, enhance business analytics, and improve the quality of managerial decisions. Leading technology firms such as Google, Apple, Microsoft or IBM are making huge investments in AI systems, to create additional value for their customers. In sum, the investments of silicon valley’s most prominent firms in AI technologies has quadrupled from 2010 to 2015, and now reaches approximately $8.5 billion (Economist 2016 <#_ENREF_2>_)_. As a consequence, there is a broad consensus that artificial intelligence has the potential to deliver huge economic benefits for consumers and companies (Jordan und Mitchell 2015 <#_ENREF_4>). Despite these recent advances, the development of human-level, general AI in the next decades is rather doubted. Instead, the concept of hybrid intelligence gained increasing popularity in recent years (Horvitz 2014 <#_ENREF_3>). This concept aims at using the complementary strengths of human intelligence and AI to behave more intelligent than each of the two could be in separation (Kamar 2016 <#_ENREF_5>). While machines are particularly good in consistently solving repetitive tasks that require the fast procession of huge amount of data, humans have superior capabilities for emphatic or intuitive tasks. Therefore, artificial intelligence rather augments the human judgement through providing predictive assistance. In such settings, where AI provides the human with input that is then evaluated to make a judgement, human and machines act as teammates. Vice versa, AI systems can benefit and learn from human input. This approach allows to integrate human domain knowledge in the AI to design, complement and evaluate the capabilities of machine intelligence. In this regard, hybrid intelligence systems constitute digital networks in which different research questions, such as task specification, creation of incentives, task allocation, quality assessment, task aggregation, and compensation mechanisms have to be addressed. By now, articles in the field have concentrated on the technological issues that are related to the development of hybrid intelligent systems and highlight the novelty character of this concept _(_Cheng und Bernstein 2015 <#_ENREF_1>_; _Kamar 2016 <#_ENREF_5>). Additional insights into the relationships between design decisions, actors’ behavior, and business outcomes therefore constitutes a promising avenue for further research that deserves to be addressed by researchers and practitioners. Therefore, the time is now to call for theoretical and empirical underpinnings of hybrid intelligence can be utilized. *Central issues and themes* Possible topics of submissions include, but are not limited to: *Generalizable models, methodologies and theories to design and facilitate the interaction between human intelligence and machine intelligence in different kinds of digital production networks *Approaches for a new division of labor between AI and humans in business networks *Decision models for deciding whether, when and how to access human input *Effectiveness of different training strategies in improving the performance of workers for accomplishing complex business tasks *Design of incentive structures that motivate actors to participate in a network of humans and machines *Approaches for increasing user acceptance of systems with AI components *Collaborative work practices in which AI acts as a teammate or facilitates human collaboration *Approaches for a new division of labor in references to the task structure and capabilities of AI and humans *Approaches for increasing user acceptance of new business networks with AI components *Design, implementation and evaluation of exemplar instances of Human-AI-Collaboration *Legal aspects of Human-AI-Collaboration in business networks 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 3.818) and requires that all papers be original and not published or under review elsewhere. Papers must be submitted via our the journal’s 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, excluding references. *Important deadline* * Submission Deadline: May 1, 2019 *References* Cheng, J. & Bernstein, M.S. (2015). Flock: Hybrid Crowd-Machine Learning Classifiers. Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, ACM. Economist (2016). Artificial Intelligence - Million-Dollar Babies.April, 2^nd , https://www.economist.com/business/2016/04/02/million-dollar-babies. Horvitz, E. (2014). One Hundred Year Study on Artificial Intelligence: Reflections and Framing, Oxford University Research Paper. Jordan, M. I. & Mitchell, T.M. (2015). Machine Learning: Trends, Perspectives, and Prospects. Science 349(6245): 255-260. Kamar, E. (2016). Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence. Proceedings of the International Joint Conference on Artificial Intelligence, New York. Rainer Alt and Hans-Dieter Zimmermann Editors-in-Chief ==================================================================== Electronic Markets - The International Journal on Networked Business ==================================================================== Editors-in-Chief: Rainer Alt, Leipzig University and Hans-Dieter Zimmermann, FHS St. Gallen, University of Applied Sciences Executive Editor: Maxi Herzog, Leipzig University Editorial Office: c/o Information Systems Institute Leipzig University 04109 Leipzig, Germany Mail: editors(a)electronicmarkets.org <mailto:editors@electronicmarkets.org> Phone: +49-341-9733600 electronicmarkets.org facebook.com/ElectronicMarkets twitter.com/journal_EM http://springer.com/tocsubscription/12525 Impact Factor: 3.818

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Fwd: [AISWorld] Reconsidering Theories in IS
by Gustaf Neumann 28 Sep '18

28 Sep '18

-------- Forwarded Message -------- Subject: [AISWorld] Reconsidering Theories in IS Date: Thu, 27 Sep 2018 15:58:30 +0000 From: Siponen, Mikko <mikko.t.siponen(a)jyu.fi> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Reconsidering Theories in IS A seminar for doctoral students and faculty Friday November 2nd, 2018. Perhaps it is not too much of an overstatement to say that the expectation in top IS journals today is that every single paper develops a new theory or modifies existing theory. In this course, we explain how many influential and seminal IS accounts on scientific theory profoundly obscure what is a scientific theory in contemporary science. Moreover, generally speaking, the IS discussion on “theory” misses the fact that the main vehicle of scientific knowledge in the contemporary sciences are not theories. We note how many IS theory authors, like organizational and management research (OMR) authors or some influential sociologists (e.g., Robert Merton and Robert Dubin), were misled by professional philosophers. These were namely, logical empiricist philosophers (and Popper with certain reservations), who especially during 1920 — 1969 focused on logical constructions of scientific theories. It is clearly documented in the philosophy of science that these logical reconstructions, which only focused on logical relationships and omitted all non-logical contexts in the sciences, were not made for scientists’ use. They were made only for "philosophical purposes" for professional philosophers. These logical reconstructions of scientific theories — e.g., the received view of scientific theory — were later rejected for "philosophical purposes", even by the key advocates (e.g., Hempel). Alas, some influential sociologists, as well as many IS and OMR scholars, who lacked philosophical training, believe that these logical reconstructions truly present scientific theory as used by scientists. However, even key advocates of logical reconstructions (at least logical empiricists) were fully aware that their logical reconstructions, if used by scientists, would have seriously hindered scientific progress. This misunderstanding —rejected logical reconstructions made for philosophical purposes are mistaken for real scientific theories— has the potential to seriously hinder IS research by focusing on theories as logical relationships alone and omitting the actual scientific context. Moreover, there is the need to understand scientific research beyond the rejected logical constructions (by logical empiricists). The graduate course highlights selected IS views of scientific theory, and how they are often based on philosophy of science from 1920 — 1969. Possibilities for IS theories are then explained from the perspective of modern (philosophy of) science, which followed the Received View of Scientific Theory. Modern (philosophy of) science highlights counterfactual models (rather than theories) as the main vehicles of scientific knowledge. Speakers Professor Mikko Siponen, who holds a D.Soc.Sc. in philosophy and Ph.D. in IS. Chief of Medical Oncology Tuula Klaavuniemi, who holds M.Sc. in biology, Ph.D. in biochemistry, M.D. and Specialist Degree in Medical Oncology. In this course, we explain (for example): - How the professional philosophers’ logical reconstructions (around) 1920-1969 (partly purposefully) misunderstood actual scientific theories and how the same misunderstandings are visible in many IS theory accounts. - How many important types of scientific research (e.g., intervention or comparative research), which do not contain a “theoretical contribution”, are highly important and necessary. - How IS theory accounts may prevent the method of isolation and idealization. - Why are scientific theories typically tested in counterfactual settings (e.g., in isolated and idealized models) and not with real phenomena? - Why theory or study scopes in real settings are typically totally different than in models and how that has confused many IS authors in terms of generalizability. - Why many of the “best" scientific theories may not be generalizable to any actual settings without case by case modifications; and how IS accounts do not understand this, but require such generalizations, which even the fundamental laws of physics cannot meet. - What is explanation and prediction accuracy? - Why does an increase in study/models/theory scope (e.g., increasing explanatory breadth) typically, if not necessarily, decrease explanation or prediction accuracy in real settings? - Why are models claimed as being more important in contemporary (philosophy of) science than theories, despite this not being recognized in IS theory accounts? - Why do scientific theories/accounts purposefully and strategically mispresent the actual phenomenon? - Why do scientific theories, models and methods typically contain purposefully false assumptions (on the target phenomenon)? - Why are causal claims in sciences made in counterfactual settings (in isolated and idealized models) and not with real phenomena? For more information, please see: http://inforte.jyu.fi/events/reconsidering_theories Mikko Siponen Ph.D., D.Soc.Sc. Vice Dean for Research Professor of Information Systems University of Jyväskylä Tel. +358 505588128 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CfP ECIS 2019 - Track "Modelling and Managing the Digital Enterprise and its Business Processes"
by Gustaf Neumann 28 Sep '18

28 Sep '18

-------- Forwarded Message -------- Subject: [AISWorld] CfP ECIS 2019 - Track "Modelling and Managing the Digital Enterprise and its Business Processes" Date: Tue, 25 Sep 2018 17:48:13 +0200 From: Hans-Georg Fill <hans-georg.fill(a)unifr.ch> To: aisworld(a)lists.aisnet.org * Apologies for cross-postings* ======================================================================= CALL FOR PAPERS 27th European Conference on Information Systems (ECIS 2019) Track: Modelling and Managing the Digital Enterprise and its Business Processes June 8-14, 2019, Stockholm-Uppsala, Sweden Deadline for paper submission: 27th November 2018 Further information: https://bit.ly/2pvQc3Z ======================================================================= _Track Chairs_ Hans-Georg Fill, University of Fribourg, Switzerland (corresponding) Amy Van Looy, Ghent University, Belgium Henrik Leopold, Vrije Universiteit Amsterdam, the Netherlands Jelena Zdravković, Stockholm University, Sweden _Track Description_ Digital enterprises today face numerous challenges, ranging from the level of strategic management, its business processes down to the level of cyber-physical systems. Thereby, the complexity and management tasks inherent in the alignment of business, process and IT aspects need to be adequately addressed. In this track we solicit innovative contributions targeting the aspects of modelling the digital enterprise as well as managing its business processes. In terms of enterprise modelling (EM), it is sought after the conceptualization, implementation, and use of machine-processable languages to facilitate the interaction with complex business and technological scenarios, engage in knowledge management and support organizational engineering. In addition, the development of reference models for selected domains, the design of models for enterprise architecture management, and the development of modelling tools are investigated. Since business processes are at the core of the social-technical transformation that has been fuelled by the digital economy, business process management (BPM) can be seen from an exploitative and an explorative perspective. 1) Process exploitation aims at more efficient processes, implemented via incremental changes that rely on tools, management approaches, and techniques within well-defined process boundaries. Such a view, however, neglects the exploration potential of BPM. 2) Exploration-oriented BPM operates under the paradigm of innovation and agility of processes, services, products and business models, applying techniques of creative, abductive thinking, design, and communication. _Types of Contributions_ The proposed track aims to attract the full spectrum of submissions: * Completed research papers either on enterprise modelling or business process management. Both managerial and technology-oriented papers are welcome. * Stimulating research-in-progress papers that explore emerging areas of related research and that would benefit from a focused conversation at ECIS 2019. * Prototypes and technology demonstrations in enterprise modelling or business process management that provide proofs-of-concept as well as interesting insights into the latest and future developments of information systems in digital enterprises. _Associate Editors_ Xavier Boucher, Ecole Nationale Supérieure des Mines de St. Etienne, France Robert Buchmann, Babes-Bolyai University, Romania Peter Fettke, Saarland University & DFKI, Germany Dimitris Karagiannis, University of Vienna, Austria Monika Malinova Mandelburger, Vienna University of Economics and Business, Austria Oscar Pastor, Universidad Politécnica de Valencia, Spain Geert Poels, Ghent University, Belgium Hajo Reijers, Vrije Universiteit Amsterdam, the Netherlands Maximilian Roeglinger, University of Bayreuth, Germany Irina Rychkova, Université de Paris 1 Panthéon-Sorbonne, France Kurt Sandkuhl, University of Rostock, Germany Flavia Santoro, Federal University of the State of Rio de Janeiro, Brazil Theresa Schmiedel, University of Liechtenstein, Liechtenstein Monique Snoeck, K.U. Leuven, Belgium Peter Trkman, University of Ljubljana, Slovenia -- Prof. Dr. Hans-Georg Fill Digitalization and Information Systems Group University of Fribourg Bd de Pérolles 90 CH-1700 Fribourg, Switzerland _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] BigDat 2019: early registration October 15
by Gustaf Neumann 28 Sep '18

28 Sep '18

-------- Forwarded Message -------- Subject: [WI] BigDat 2019: early registration October 15 Date: Wed, 26 Sep 2018 06:48:29 +0200 From: IRDTA <irdta(a)irdta.eu> Reply-To: IRDTA <irdta(a)irdta.eu> To: wi(a)lists.kit.edu BigDat 2019: early registration October 15 *To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ******************************************************** *5^th INTERNATIONAL WINTER SCHOOL ON BIG DATA* *BigDat 201**9* *Cambridge, United Kingdom* *January 7-11, 2019* Co-organized by: Cambridge Big Data Initiative, University of Cambridge Institute for Research Development, Training and Advice (IRDTA) Brussels / London http://bigdat2019.irdta.eu/ ******************************************************** --- Early registration deadline: October 15, 2018 --- ******************************************************** *SCOPE:* BigDat 2019 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 2 keynote lectures, 24 four-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. *ADDRESSED TO:* Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2019 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. *STRUCTURE:* 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. *VENUE:* BigDat 2019 will take place in Cambridge, a city home of a world-renowned university. The venue will be: University of Cambridge Department of Engineering Trumpington Street Cambridge CB2 1PZ *KEYNOTE SPEAKERS:* tba *PROFESSORS AND COURSES:* Thomas Bäck (Leiden University), [introductory/intermediate], Data Driven Modeling and Optimization for Industrial Applications Richard Bonneau (New York University), [introductory] Large Scale Machine Learning Methods for Integrating Protein Sequence and Structure to Predict Gene Function Altan Cakir (Istanbul Technical University), [introductory/intermediate] Processing Big Data with Apache Spark: From Science to Industrial Applications Jiannong Cao (Hong Kong Polytechnic University), [introductory/intermediate] Cross-domain Big Data Fusion and Analytics Nitesh Chawla (University of Notre Dame), [intermediate/advanced] Network Science: Representation Learning and Higher Order Networks Nello Cristianini (University of Bristol), [introductory] The Interface between Big Data and Society Geoffrey C. Fox (Indiana University, Bloomington), [intermediate] High Performance Big Data Computing David Gerbing (Portland State University), [introductory] Data Visualization with R Craig Knoblock (University of Southern California), [intermediate/advanced] Building Knowledge Graphs Geoff McLachlan (University of Queensland), [intermediate/advanced] Applying Finite Mixture Models to Big Data Folker Meyer (Argonne National Laboratory), [intermediate] Skyport2: A Multi Cloud Framework for Executing Scientific Workflows Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Soumya Mohanty (University of Texas Rio Grande Valley), [introductory/intermediate] Swarm Intelligence Methods for Statistical Regression Sankar K. Pal (Indian Statistical Institute), [introductory/advanced] Machine Intelligence and Soft Granular Mining: Features, Applications and Challenges Lior Rokach (Ben-Gurion University of the Negev), [introductory/advanced] Ensemble Learning Michael Rosenblum (University of Potsdam), [introductory/intermediate] Synchronization Approach to Time Series Analysis Hanan Samet (University of Maryland), [introductory/intermediate] Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial and Spatio-textual Databases, Geographic Information Systems (GIS), and Location-based Services Rory Smith (Monash University), [intermediate/advanced] Statistical Inference: Optimal Methods for Learning from Signals in Noise Jaideep Srivastava (University of Minnesota), [intermediate] Social Computing – Concepts and Applications Mayte Suárez-Fariñas (Icahn School of Medicine at Mount Sinai), [intermediate] A Practical Guide to the Analysis of Longitudinal Data Using R Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning Andrey Ustyuzhanin (National Research University Higher School of Economics), [intermediate/advanced] Surrogate Modelling for Fun and Profit Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: Data Science in Action Zhongfei Zhang (Binghamton University), [introductory/advanced] Relational and Multimedia Data Learning *OPEN SESSION* An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by December 30, 2018. *INDUSTRIAL SESSION:* A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by December 30, 2018. *EMPLOYER SESSION:* Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. At least one of the people in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by December 30, 2018. *ORGANIZING COMMITTEE:* (to be completed) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) Filippo Spiga (Cambridge, co-chair) Richard E. Turner (Cambridge) *REGISTRATION:* It has to be done at http://bigdat2019.irdta.eu/registration/ The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event. *FEES:* Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. *ACCOMMODATION:* Suggestions for accommodation are available on the event website. *CERTIFICATE:* A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. *QUESTIONS AND FURTHER INFORMATION:* david(a)irdta.eu *ACKNOWLEDGMENTS:* Cambridge Big Data Initiative, University of Cambridge Institute for Research Development, Training and Advice (IRDTA) – Brussels/London -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [AISWorld] ISOneWorld Conference: April 29-May 1, 2019 - Las Vegas, USA
by Gustaf Neumann 28 Sep '18

28 Sep '18

-------- Forwarded Message -------- Subject: [AISWorld] ISOneWorld Conference: April 29-May 1, 2019 - Las Vegas, USA Date: Wed, 26 Sep 2018 01:31:29 +0000 From: Spiro Samonas <Spiro.Samonas(a)csulb.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> CALL FOR PAPERS *** ISOneWorld 2019 *** April 29 – May 1, 2019, LAS VEGAS, USA http://www.isoneworld.org<http://www.isoneworld.org/> Background We invite the submission of completed and short research papers to the 18th ISOneWorld Conference, which will be held April 29 to May 1, 2019, in Las Vegas, Nevada. For the past 18 years, the ISOneWorld Conference has brought together International Information Systems researchers and practitioners to participate in sharing ideas and to enjoy the exciting surroundings of the fun capital of the World – Las Vegas. As an inclusive, peer-reviewed conference, ISOneWorld offers a unique opportunity for you to submit your work for publication and feedback in a developmental, workshop-based setting with colleagues that seek to move beyond traditional demarcations of methodologies and paradigms, and truly create One World for the IS field. The conference includes a full program of papers, presentations, keynotes and publishing opportunities for researchers and practitioners. Scope As an inclusive conference, ISOneWorld encourages thought-provoking work and is open to both theoretical and applied work, regardless of the methodological approach. A unique aspect of the conference is the opportunity for short research papers. If you have an idea for a project that is not fully developed, we will provide a venue for you to submit an abstract of an idea and discuss this project. This birds-of-a-feather venue will allow you to network with colleagues and collaborate upon your idea with potential new research partners. If your idea is fully materialized, send your completed work for consideration and receive the feedback to assist you in crafting your manuscript for publication. Quality contributions for papers, panels, cases and posters are invited, which are double blind peer reviewed. Topic areas covered in the conference include, but are not limited to the following: • Accessibility and Usability of Information Systems • Accounting and Accounting Information Systems • Design Science Studies in Information Systems • e-Commerce and e-Business • e-Government • Emerging Issues in Information Systems • Emerging and Disruptive Technologies in Information Systems • Enterprise Information Systems • Global Issues in Information Systems • Human Computer Interaction • IS-enabled and IS-facilitated Business Models • IS in Logistics and Supply Chain Management • IT in Education • Knowledge Management in Information Systems. • Mobile Commerce, Mobility and Ubiquitous IS • Small and Medium Enterprises (SME) and Information Systems • Social Media and Social Applications of Information Systems • Strategic Use of Information Systems • Strategic Use of IS in Business Development • Web 2.0 and Future Web Technologies Publishing opportunity All submissions are considered for possible fast tracking in the following academic journals: The Data Base for Advances in Information Systems, Journal of Information Systems and Technology, European Journal of Management Studies. If your paper is not fast tracked, it will still be published in the proceedings. Submission Details: Participation can be in the form of: 1. Peer-reviewed full papers (approx. 5,000 words, including figures, tables, references, and appendices). 2. Short papers (abstract-100 words, or extended abstract-up to 1000 words) with a view to potentially developing a full paper after the event. Key Dates Full paper submissions: 15 January 2019 Author notification: 25 February 2019 Short paper submissions: 1 March 2019 Author registration: 15 March 2019 Program Committe Conference Co-Chairs Andrew Schwarz, Louisiana State University, USA Rhonda Syler, University of Arkansas, USA Program Chair Tom Stafford, Louisiana Tech University, USA Organizing Chair Spiro Samonas, California State University, Long Beach, USA We look forward to seeing you in Vegas! Kind regards, Spiro Samonas -- Spyridon (Spiro) Samonas, Ph.D. Assistant Professor Department of Information Systems College of Business Administration California State University, Long Beach p: (562) 985-5672 f: (562) 985-5478 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] Call for Sessions Proposal - U.S. Semantic Technologies Symposium Series (us2ts 2019)
by Gustaf Neumann 28 Sep '18

28 Sep '18

-------- Forwarded Message -------- Subject: [WI] Call for Sessions Proposal - U.S. Semantic Technologies Symposium Series (us2ts 2019) Date: Wed, 26 Sep 2018 03:09:30 +0000 From: us2ts 2019 <us2ts2019(a)outlook.com> Reply-To: us2ts 2019 <us2ts2019(a)outlook.com> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> Apologies for cross-posting. ============================================================ U.S. Semantic Technologies Symposium Series US2TS Call for Sessions Proposal http://us2ts.org/2019/ https://easychair.org/cfp/us2ts2019 ============================================================ Semantic Web is an inherently multi-disciplinary field. With an ever-growing dependence on the Web and the continuously increasing importance of large-scale data sharing, integration, and reuse, natural science researchers, geoscience, biology, library science, health care, the humanities, just to name a few, have also taken an increasing interest in the Semantic Web. The U.S. Semantic Technologies Symposium (US2TS) series provide a forum to ease the division between computer science, natural science, and academia/government/industry. We solicit anyone with an interest in the Semantic Web to propose a session for US2TS 2019. A session is any scientifically relevant activity that can fit into a 90 minutes slot (you can also propose a session that takes more than one slot). Examples of sessions are: . a panel discussion . a series of presentations on a topic . breakout-style discussions on a proposed topic . a tutorial . etc. As the main goal of the Symposium is to foster synergies and collaborations from different fields, we strongly recommend that: 1. At least 2-3 people, preferably from different institutions, propose the session. 2. All the session leaders are asked to confirm and commit to participate at the time of submission. 3. If your proposal already names speakers or panelists, you must state whether their participation is already confirmed. We encourage session proposals about cross-discipline topics which are of concern for participants from existing sub-communities Submission Guidelines -------------------------------------- Please prepare a (max) 2 page submission indicating: . Name of the session . Topic: please indicate which cross-discipline topics the session will tackle. Here you can also specify if there is any particular vertical of interest (e.g. legal, life science, medical, publisher/scholarly data, cultural heritage, library, museum, oil/gas, engineering, airplane, e-commerce, etc) . Type of session: Panel | Presentations | Break-out discussion | Tutorial | Other (please specify) . Short description of the session . The 2/3 person team (names & affiliations) that will lead the session . Speakers(when applicable). It is strictly required to specify the speakers if you are proposing a panel, in which case they must be already confirmed. . Expected participation (give a prediction of who would be interested in attending your session) . Submit your proposal on easychair: https://easychair.org/conferences/?conf=us2ts. Symposium outcome -------------------------------------- After the Symposium we will invite all session chairs to co-edit a summary of the event, which will be formally published. Important Dates -------------------------------------- . Deadline for submissions: October 31st 2018 . Notifications: November 16th 2018 . Confirmed outline of the sessions: December 10th 2018 . Final program for the sessions: January 14th 2019 . Symposium dates: March 11-13, 2019 Contact -------------------------------------- All questions about submissions should be emailed to*contact-us2ts2019(a)googlegroups.com* __ U.S. Semantic Technologies Symposium Series March 11-13, 2019at Duke University in Durham, NC http://us2ts.org/2019/ -- 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: ASPAI’ 2019 Conference: Call for Papers
by Gustaf Neumann 28 Sep '18

28 Sep '18

-------- Forwarded Message -------- Subject: ASPAI’ 2019 Conference: Call for Papers Date: Thu, 27 Sep 2018 23:28:03 +0200 From: Prof. Sergey Y. Yurish, Chairman <syurish(a)smtpcomputer.com> Organization: IFSA To: gustaf.neumann(a)wu-wien.ac.at 27.09.2018, 23:28:03 Delivered to: gustaf.neumann(a)wu-wien.ac.at If you do not want to receive information about the ASPAI’ 2019 conference and invitations for book chapters for ‘Advances in Artificial Intelligence: Reviews’, and ‘Advances in Signal Processing: Reviews’, Book Series, please reply to this message with the Subject line: Unsubscribe: gustaf.neumann(a)wu-wien.ac.at Dear Colleague ! I am proud to announce that the 1st International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2019) will take place in Barcelona, Spain, from 20 to 22 March 2019: http://www.aspai-conference.com The conference’s flyer in pdf format is available for download at: https://drive.google.com/open?id=1kTbJSLKQ91dDpu3PNulQvU0DFF9UencD and http://www.sensorsportal.com/ASPAI_2019/ASPAI_2019_flyer.pdf It is my great pleasure to invite you to submit 2-page extended abstract including illustrations and list of references to ASPAI’ 2019 Conference. Please add this event in your calendar 2019. ====================================== About the Event: ====================================== Advances in artificial intelligence and signal processing are driving the growth of the artificial intelligence market as improved appropriate technologies is critical to offer enhanced drones, self-driving cars, robotics, etc. The two major factors enabling market growth are emerging artificial intelligence technologies and growth in intelligent signal processing. A new conference has been launched to provide a forum for open discussion and development of emerging artificial intelligence and appropriate signal processing technologies focused on real-word implementations by offering Hardware, Software, Services, Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision and Signal Processing). The goal of the conference is to provide an interactive environment for establishing collaboration, exchanging ideas, and facilitating discussion between researchers, manufacturers and users. The ASPAI' 2019 is organized by IFSA with the media partners IOS Press (journal Integrated Computer-Aided Engineering) and World Scientific (International Journal of Neural Systems). The purpose of ASPAI' 2019 is bring together leading international researchers, developers and practitioners interested in artificial intelligence and appropriate signal processing technologies. The ASPAI conference umbrella will cover two symposiums on Signal Processing (SP) and Artificial Intelligence (AI), and one Workshop on 'Women in Artificial Intelligence', which will take place in parallel. The workshop “Women in Artificial Intelligence“ aims to connect excellent female scientists at the beginning of their career with experts in artificial intelligence holding leading positions at research institutions and companies. The workshop addresses young female postdocs in the field of artificial intelligence and intelligent signal processing, who want to present their own research results and build up new networks. Participants will have the opportunity to exchange with experienced scientists from academia and industry and jointly develop strategies for joint research projects and the future career development. ====================================== The topics of interest include (but not limited): ====================================== Artificial Intelligence: • AI Algorithms • Intelligent System Architectures • Hybrid Intelligent Systems • Artificial Neural Networks • Parallel Processing • Pattern Recognition • Pervasive Computing and Ambient Intelligence • Programming Languages Artificial Intelligence • Soft Computing and Applications • Artificial Intelligence Tools & Applications • CAD Design & Testing • Computer Vision and Speech Recognition • Fuzzy Logic and Systems • Computational Theories of Learning • Soft Computing Theory and Applications • Software & Hardware Architectures • Web Intelligence Applications & Search • Ambient Intelligence • Artificial Immune Systems • Autonomous and Ubiquitous Computing • Bayesian Models • Data Fusion • Distributed AI • Fuzzy Logic and Systems • Machine Learning • Applied Artificial Intelligence • Self-Organising Networks • Virtual and Augmented Reality • Emotion Detection Signal Processing: • Signal Processing Theory and Methods • Sensor Array and Multichannel Signal Processing • Multivariable Sensor Systems • Digital Signal Processing • Image and Video Processing • Multichannel Signal Processing • Biomedical Signal Processing • Biometrics • Chaotic and Fractal Systems • Computer Vision and Pattern Recognition • Image and Video Processing • Information Theory and Coding • Speech Signal Processing • Signal Processing for Communications and Networking • Radar and Sonar Signal Processing • Satellite Signal Processing • Nonlinear Signal Processing • Statistical Signal Processing • Signal Processing for Internet of Things • Coding • Wavelet Transformation • Theory and Application of Filtering • Spectral Analyze • Multidimensional Signal Processing Contribution Types: • Keynote Presentations • Invited Presentations • Industrial Presentations • Regular Papers • Posters ====================================== Deadlines: ====================================== Submission (2-page extended abstract): 15 November 2018 Notification of acceptance: 10 December 2018 Registration: 15 January 2019 Camera ready (4-6 page paper): 10 February 2019 ====================================== Special Sessions: ====================================== Authors are welcome to organize and manage special sessions during the conference. Each session will contain 4-6 papers in a related field as specified above. Session organizers will get: * Certificate of Appreciation * Free Registration for the event * Special Publishing Theme within the Conference Proceedings * Free article and book chapter post conference publications in appropriate open access journal and ‘Advances in Artificial Intelligence: Reviews’, Vol. 1 or ‘Advances in Signal Processing: Reviews’, Vol. 2 open access Book Series. ====================================== One event – three publications: ====================================== In comparison with other related events the ASPAI’ 2018 conference is unique because of lets to publish three difference high level publications during the short time: 1) All registered abstracts/papers will be published in the conference proceedings (Flash drive edition of published Proceedings with the ISBN). 2) Authors will be invited to submit full-page extended papers to one of special journals' issues, which are published in both formats: print and electronic: - Sensors & Transducers (ISSN 2306-8515, e-ISSN 1726-5479) by IFSA Publishing - Integrated Computer-Aided Engineering (ISSN: 1069-2509, e-ISSN: 1875-8835) by IOS Press - International Journal of Neural Systems (ISSN: 0129-0657, e-ISSN: 1793-6462) by World Scientific 3) The limited number of full-page papers published in the Sensors & Transducers journal will be selected by the Editorial Board to extend for open access books' chapters for the Book Series on 'Advances in Signal Processing: Reviews', Vol. 2 or 'Advances in Artificial Intelligence: Reviews', Vol. 1, which will be published by IFSA Publishing in 2019. ====================================== Gala Dinner and Social Program: ====================================== The Gala Dinner will take place on 21 March 2019 at 20:00 in Monestir de Montserrat, in restaurant 'Abat Cisneros' located in the building 'Mirador dels Apostols' This restaurant is one of the facilities available at Montserrat and situated near Barcelona in a beautiful multi-peaked mountain range with a spectacular view of Montserrat’s mountain. Before the Gala Dinner we invite our guests for two bus excursions: 1) Barcelona Supercomputing center, which hosts ‘MareNostrum’, the most powerful supercomputer in Spain. 2) The basilica Montserrat monastery, where you can see the famous black faced Madonna. Did you read the last thriller of Dan Brown 'Origin' on God and artificial intelligence? During the ASPAI' 2019 conference and after, you will be able to visit Barcelona locations in Dan Brown book 'Origin' : Monestir de Montserrat, La Pedreira, Sagrada Familia and Barcelona Supercomputing center. Do not miss this unique and memorable opportunity ! More details about the ASPAI'2019 conference are available at the conference web site: http://www.aspai-conference.com We hope to meet you at ASPAI’ 2019 in Barcelona next year. Waiting for your abstract. With best wishes, Sincerely, Prof., Dr. Sergey Y. Yurish, ASPAI' 2018 Chairman ================================================= IFSA Publishing, S.L. Parc UPC-PMT, Edifici RDIT-K2M c/ Esteve Terradas, 1, 08860 Castelldefels, Barcelona, Spain Tel.: +34 696067716 E-mail: aspai_2019(a)sensorsportal.com - End - ============================== Message ID: MBEEASMD78SP4DF6

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Fwd: [AISWorld] CFP - 12th IADIS International Conference on Information Systems 2019
by Gustaf Neumann 28 Sep '18

28 Sep '18

-------- Forwarded Message -------- Subject: [AISWorld] CFP - 12th IADIS International Conference on Information Systems 2019 Date: Thu, 27 Sep 2018 11:22:25 -0500 From: nat(a)iadis.org To: aisworld(a)lists.aisnet.org --------Call for Papers IS 2019 (1st call): submissions until 9 November 2018 ------------- 12th IADIS International Conference Information Systems 2019 11 – 13 April 2019, Utrecht, The Netherlands (http://www.is-conf.org/) * Conference Scope The IS Conference aims to provide a forum for the discussion of IS taking a socio-technological perspective. It aims to address the issues related to design, development and use of IS in organisations from a socio-technological perspective, as well as to discuss IS professional practice, research and teaching. The conference covers five main areas: IS in Practice, Technology Infrastructures and Organisational Processes; IS Professional Issues; IS Learning and Teaching; IS Design, Development and Management Issues and Methodologies; and IS Research. These broad areas are divided into more detailed areas, for more information please check http://www.is-conf.org/call-for-papers * Paper Submission This is a blind peer-reviewed conference. Authors are invited to submit their papers in English through the conference submission system by November 9, 2018. Submissions must be original and should not have been published previously. * Important Dates: - Submission Deadline: 9 November 2018 - Notification to Authors: 7 December 2018 - Final Camera-Ready Submission and Early Registration: Until 4 January 2019 - Late Registration: After 4 January 2019 * Paper Publication The papers will be published in book and electronic format with ISBN, will be made available through the Digital Library available at http://www.iadisportal.org/digital-library/showsearch. The conference proceedings will be submitted for indexation by IET’s INSPEC, Elsevier, EI Compendex, Scopus, Thomson Reuters Web of Science and other important indexing services. Extended versions of the best papers will be selected to be published in a special issue of the Journal of Electronic Commerce in Organizations (JECO) journal (ISSN: 1539-2937) and also in the IADIS Journal on Computer Science and Information Systems (ISSN: 1646-3692) indexed by Emerging Sources Citation index by Thomson Reuters. * Conference Contact: E-mail: secretariat(a)is-conf.org Web site: http://www.is-conf.org/ * Organized by: International Association for Development of the Information Society Co-Organized by: HU University of Applied Sciences Utrecht, The Netherlands _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CfP Student Track (WI 2019) - Deadline 12. Okt.
by Gustaf Neumann 27 Sep '18

27 Sep '18

-------- Forwarded Message -------- Subject: [WI] CfP Student Track (WI 2019) - Deadline 12. Okt. Date: Thu, 27 Sep 2018 12:28:04 +0000 From: Weinmann Markus <markus.weinmann(a)uni.li> Reply-To: Weinmann Markus <markus.weinmann(a)uni.li> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> ======================================================= CALL FOR PAPERS Student Track Wirtschaftsinformatik 2019 24.-27. Februar 2019 in Siegen Einreichungsschluss 12.10.2018 http://wi2019.de/special-tracks/#studentTrack ======================================================= Sehr geehrte Damen und Herren, liebe Kolleginnen und Kollegen, Einreichungen für den Student Track sind bis zum 12. Oktober möglich. Wir würden uns freuen, wenn Sie Ihre Studierenden über die Einreichungsfrist informieren könnten. Herzlichen Dank und beste Grüße Jan vom Brocke Bernd Schenk Markus Weinmann — STUDENT TRACK / Call for Papers Ziel des Student Track ist es, Studierenden die Möglichkeit zu eröffnen, sich aktiv einzubringen. Angesprochen sind Studierende auf Master-Ebene, die sich entweder für eine IT-bezogene Position in der Wirtschaft oder für eine Promotion in der Wirtschaftsinformatik interessieren. Der Student Track soll eine Plattform bieten, über die sich Studierende, Wissenschaftler und Praktiker begegnen und im fachlichen Diskurs intensiv kennenlernen. Studierende aller Standorte und Fachrichtungen der Wirtschaftsinformatik sind aufgerufen, qualitativ hochwertige Arbeiten einzureichen. Auch Studierende, die keinen eigenen Beitrag einreichen, sind herzlich willkommen, die Vorträge zu besuchen sowie am Rahmenprogramm des Student Tracks teilzunehmen. THEMEN Der Student Track ist offen für verschiedene Schwerpunktthemen der Wirtschaftsinformatik. Eingeladen werden Beiträge, die sich aus unterschiedlichen Perspektiven mit der Gestaltung und Nutzung von Informations- und Kommunikationssystemen in Organisationen befassen. Der Student Track soll Freiräume bieten, individuelle thematische Ausrichtungen der Studierenden zu berücksichtigen. Sämtliche Themen der Wirtschaftsinformatik sind willkommen, z.B. Business Process Management, Business Engineering, Business Transformation, Customer Relationship Management und Business Intelligence. Mögliche Anwendungsbereiche sind u. a. eBusiness, eBanking, eLearning, eGovernment und eHealth. Themen im Fokus sind u. a. Social Media, Mobile Applications sowie Sustainability und Green IT/IS. Es werden sowohl konzeptionelle als auch verhaltens- oder gestaltungsorientierte Beiträge berücksichtigt. FORMATE Studierende präsentieren entweder Work-in-Progress-Paper oder abgeschlossene Qualifikationsarbeiten, deren Abgabe bei Einreichung nicht länger als zehn Monate zurückliegt. Beiträge können in deutscher oder englischer Sprache verfasst werden. Es können nur Beiträge als Vollversion (12 Seiten inkl. Deckblatt, Literaturverzeichnis etc.) eingereicht werden. Bitte beachten Sie darüber hinaus die Hinweise zu den Einreichungen auf der Konferenz-Webseite. Eine Mitwirkung der Betreuer als Koautoren der Einreichung wird begrüßt. Die Studierenden treten in diesem Fall als Erstautoren auf und präsentieren ihre Arbeit auch auf der Konferenz. Gruppenarbeiten von mehreren Studierenden sind ebenfalls möglich. BEGUTACHTUNG Eingereichte Beiträge werden im regulären Begutachtungsverfahren der Konferenz evaluiert. Studierende erhalten ein differenziertes fachliches Feedback von mindestens zwei unabhängigen Gutachtern des Programmkomitees. PUBLIKATION Akzeptierte Beiträge werden in der Paper-Session der Konferenz präsentiert und im Konferenzband veröffentlicht. Weitere Beiträge werden in einer Poster-Session vorgestellt, die für alle Konferenz-Teilnehmer zugänglich ist. Beiträge in der Poster-Ausstellung werden nicht im Konferenzband veröffentlicht. BEST PAPER AWARD Das Liechtenstein Chapter of the AIS (Association for Information Systems) prämiert die beste Arbeit mit einem Preisgeld in Höhe von 500 EUR. TRACK CHAIR UND ORGANISATION Prof. Dr. Jan vom Brocke, jan.vom.brocke AT uni.li, Dr. Bernd Schenk, bernd.schenk AT uni.li, Dr. Markus Weinmann, markus.weinmann AT uni.li, Universität Liechtenstein, Liechtenstein, www.uni.li/iwi PROGRAMMKOMITEE Prof. Dr. Ulrike Baumöl, Fernuniversität Hagen, Deutschland Prof. Dr. Jörg Becker, Universität Münster, Deutschland Prof. Dr. Hans Ulrich Buhl, Universität Augsburg, Deutschland Prof. Dr. Werner Esswein, Technische Universität Dresden, Deutschland PD Dr. Hans-Georg Fill, Universität Wien, Österreich Prof. Dr. Ulrich Frank, Universität Duisburg-Essen, Deutschland Dr. Dr. Albrecht Fritzsche, Friedrich-Alexander Universität Erlangen-Nürnberg, Deutschland Prof. Dr.-Ing. Norbert Gronau, Universität Potsdam, Deutschland Prof. Dr. Thomas Hess, Ludwig Maximilians Universität München, Deutschland Prof. Dr. Roland Holten, Universität Frankfurt, Deutschland Prof. Dr. Dimitris Karagiannis, Universität Wien, Österreich Prof. Dr. Ulrike Lechner, Universität der Bundeswehr München, Deutschland Prof. Dr. Susanne Leist, Universität Regensburg, Deutschland Prof. Dr. Claudia Loebbecke, Universität zu Köln, Deutschland Prof. Dr. Peter Loos, Universität des Saarlandes, Deutschland Prof. Dr. Ronald Maier, Universität Innsbruck, Österreich Prof. Dr. Florian Matthes, TU München, Deutschland Prof. Dr. Markus Nüttgens, Universität Hamburg, Deutschland Dr. Christoph Peters, Universität St. Gallen, Schweiz Prof. Dr. René Riedl, Universität Linz, Österreich Prof. Dr. Detlef Schoder, Universität zu Köln, Deutschland Prof. Dr. Alfred Taudes, Wirtschaftsuniversität Wien, Österreich Prof. Dr. Christof Weinhardt, Technische Universität Karlsruhe, Deutschland Prof. Dr. Axel Winkelmann, Julius-Maximilians-Universität Würzburg, Deutschland -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Cfp September 2018