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Fwd: [AISWorld] Call for Papers - GRAPP 2020 (Position Paper)
by Gustaf Neumann 08 Nov '19

08 Nov '19

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers - GRAPP 2020 (Position Paper) Date: Thu, 07 Nov 2019 21:30:04 +0000 From: GRAPP Secretariat <grapp(a)scitevents.net> Reply-To: GRAPP Secretariat <grapp(a)scitevents.net> To: aisworld(a)lists.aisnet.org CALL FOR PAPERS 15th International Conference on Computer Graphics Theory and Applications Position Paper Submission Deadline: November 15, 2019 <http://tracking.scitevents.net/tracking/click?d=p15wV6-jKrwOgxN7ViFfjBRg5QX…> http://www.grapp.visigrapp.org February 27 - 29, 2020 Valletta, Malta What is a position paper? A position paper presents an arguable opinion about an issue. The goal of a position paper is to convince the audience that your opinion is valid and worth listening to, without the need to present completed research work and/or validated results. The International Conference on Computer Graphics Theory and Applications aims at becoming a major point of contact between researchers, engineers and practitioners in Computer Graphics. The conference will be structured along four main tracks, covering different aspects related to Computer Graphics, from Modelling to Rendering, including Animation, Interactive Environments and Social Agents in Computer Graphics. GRAPP is organized in 4 major tracks: <http://tracking.scitevents.net/tracking/click?d=zD1d2IIzBGeYfigRkto-Ug17wAk…> 1 - Geometry and Modeling <http://tracking.scitevents.net/tracking/click?d=zD1d2IIzBGeYfigRkto-Ug17wAk…> 2 - Rendering <http://tracking.scitevents.net/tracking/click?d=zD1d2IIzBGeYfigRkto-Ug17wAk…> 3 - Animation and Simulation <http://tracking.scitevents.net/tracking/click?d=zD1d2IIzBGeYfigRkto-Ug17wAk…> 4 - Interactive Environments <http://tracking.scitevents.net/tracking/click?d=SSXPEv065r2Dr46WbjNZxirlEe9…> Conference Chair(s) Jose Braz, Escola Superior de Tecnologia de Setúbal, Portugal <http://tracking.scitevents.net/tracking/click?d=w_Z0OEOZJ5jQivcEs0bGhfXe4c5…> Program Chair(s) Kadi Bouatouch, IRISA, University of Rennes 1, France A. Augusto Sousa, FEUP/INESC TEC, Portugal In Cooperation with European Association for Computer Graphics French Association for Computer Graphics With the presence of internationally distinguished keynote speakers: <http://tracking.scitevents.net/tracking/click?d=GnQFS0Hw5ZiegEUShN1Q1bVUlCD…> Matthias Niessner, Technical University of Munich, Germany <http://tracking.scitevents.net/tracking/click?d=GnQFS0Hw5ZiegEUShN1Q1bVUlCD…> Anthony Steed, University College London, United Kingdom <http://tracking.scitevents.net/tracking/click?d=GnQFS0Hw5ZiegEUShN1Q1bVUlCD…> Alan Chalmers, University of Warwick, United Kingdom <http://tracking.scitevents.net/tracking/click?d=GnQFS0Hw5ZiegEUShN1Q1bVUlCD…> Helen Purchase, University of Glasgow, United Kingdom Proceedings will be submitted for indexation by: DBLP, Conference Proceedings Citation Index, EI, SCOPUS, Semantic Scholar, Google Scholar and Microsoft Academic. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by <http://tracking.scitevents.net/tracking/click?d=_ecxgL-0w9DAuwA2cqkfO90f-6Y…> Springer in a CCIS Series book. All papers presented at the conference venue will also be available at the <http://tracking.scitevents.net/tracking/click?d=poxE-DhtJKQzV4nhA-HM349Q5dV…> SCITEPRESS Digital Library. Kind regards, Ana Rita Paciência GRAPP Secretariat Address: Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal Tel: +351 265 520 185 Web: <http://tracking.scitevents.net/tracking/click?d=p15wV6-jKrwOgxN7ViFfjBRg5QX…> http://www.grapp.visigrapp.org e-mail: <mailto:grapp.secretariat@insticc.org> grapp.secretariat(a)insticc.org SCITEVENTS, Av. S. Francisco Xavier Lote 7 Cv. C, Setúbal, 2900-616, Portugal <http://tracking.scitevents.net/tracking/unsubscribe?msgid=_GdlajhDgiRudDzx7…> UNSUBSCRIBE _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Announcing the Latest Issue of The DATA BASE for Advances in Information Systems (50:4)
by Gustaf Neumann 08 Nov '19

08 Nov '19

-------- Forwarded Message -------- Subject: [AISWorld] Announcing the Latest Issue of The DATA BASE for Advances in Information Systems (50:4) Date: Fri, 8 Nov 2019 20:34:22 +0000 From: Petter, Stacie <Stacie_Petter(a)baylor.edu> To: 'SIGMIS-MEMBERS' <SIGMIS-MEMBERS(a)LISTSERV.ACM.ORG>, aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> The most recent issue of The DATA BASE for Advances in Information Systems is now published in the ACM Digital Library (http://dl.acm.org/citation.cfm?id=J219). In this issue of The DATA BASE for Advances in Information Systems (Vol. 50, No. 4), learn: - That we can learn much in the changing of seasons in the editorial, “A Time for Everything: Reflections on the Changing Seasons” by Stacie Petter (https://doi.org/10.1145/3371041.3371043). - The importance of having a framework to properly scale security organizing in organizations in "Security Organizing: A Framework for Organizational Information Security Mindfulness " by A.J. Burns (https://doi.org/10.1145/3371041.3371044). - How to define and measure collaboration within social networks in the article, "Quality Assessment of Peer-Produced Content in Knowledge Repositories Using Big Data and Social Networks: The Case of Implicit Collaboration in Wikipedia” by Srikar Velichety (https://doi.org/10.1145/3371041.3371045). - The challenges arising in the peer review process due to differences between reviewers and authors in "Cognitive Bias in the Peer Review Process: Understanding a Source of Friction between Reviewers and Researchers” by Chris Street and Kerry Ward (https://doi.org/10.1145/3371041.3371046). - How personalized experiences on websites affect consumer behavior in "An Experimental Study on the Swaying Effect of Web-Personalization” by Mahesh Balan U and Saji K. Mathew (https://doi.org/10.1145/3371041.3371047). This article is part of a special section on New Directions in IT Workforce and Inclusion Research, which was part of the ACM SIGMIS Computers and People Conference in 2017. - How the nature of the produce and web personalization can impact an individual’s choice to purchase products in "Embarrassment Products, Web Personalization and Online Buying Behavior: An Experimental Study” by Kanishka Priyadharshini Annamalai, Saji K. Mathew, and Lakshmi S. Iyer (https://doi.org/10.1145/3371041.3371048). This article is part of a special section on New Directions in IT Workforce and Inclusion Research, which was part of the ACM SIGMIS Computers and People Conference in 2017. To read these articles or access prior issues of The DATA BASE for Advances in Information Systems, visit the ACM Digital Library (http://dl.acm.org/citation.cfm?id=J219). For more information about how to submit your work to The DATA BASE for Advances in Information Systems, visit www.TheDataBase.org<http://www.TheDataBase.org>. As a personal note from Stacie Petter, I must say that it has been a pleasure serving as co-editor-in-chief of The DATA BASE for Advances in Information Systems with Tom Stafford during the past three years. Stay tuned for more great articles and research under the leadership of Deb Armstrong and Tom Stafford. Sincerely, Stacie Petter & Tom Stafford Editors-in-Chief, The Data Base for Advances in Information Systems editors(a)thedatabase.org<mailto:editors@thedatabase.org> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] AMCIS 2020 CFP: Minitrack Computational Social Science Research through Analytics
by Gustaf Neumann 08 Nov '19

08 Nov '19

-------- Forwarded Message -------- Subject: [AISWorld] AMCIS 2020 CFP: Minitrack Computational Social Science Research through Analytics Date: Fri, 08 Nov 2019 07:06:30 -0800 From: Au Vo <auvo1001(a)gmail.com> To: This is the AISWorld List Server <aisworld(a)lists.aisnet.org> Dear Colleagues: Please consider submitting a manuscript to the Computational Social Science Research in Information Systems minitrack under the AMCIS 2020 Data Science and Analytics for Decision Support Track. AMCIS 2020 will take place in Salt Lake City, Utah on August 12-16. The online submission system opens on January 6 and closes on February 28. Following is a short description of our minitrack and if you have any other questions, do not hesitate to contact us. We look forward to seeing you in Salt Lake City in 2020. Computational social science research has garnered much interest from multiple disciplines through the use of massive, multi-faceted, and authentic data. A recent trend in understanding social phenomena using computational social science research, especially through the use of analytics has led to many discoveries of, and confirmation of hypotheses and theories. The interdisciplinary nature of computational social science research is suitable for our field, for Information Systems has the ability to demonstrate both rigor and relevance of answering social science questions through innovative use of data analytics. As a discipline, Information Systems enable the collection, processing, and analyzing trace data, which are event-based records of activities of transactions that could be found in systems across organizations and the Internet. Therefore, our field are poised to explicate interesting and valuable insights. Thanks to the implosion in data analytics tools such as data mining, machine learning, artificial intelligence, researchers have the ability to augment understanding of existing problems and elucidate current perplexing issues. Large-scale problems are no longer a hard-to-reach problem, but an interesting one with a plethora of research directions. In general, the guideline for computational research has percolated through various disciplines via leading research outlets like Nature, Information Systems Research, Management Information Systems Quarterly, and Communications of the ACM have started to solicit calls in this nascent research field to attract more researchers to work on interesting problems and theory building from data. This minitrack encourages research on the utilization of data to explore, and potentially answer social phenomena. Submissions may focus on descriptive research process, novel algorithm designs, questions forming, new and interesting directions in computational social science. In addition, nascent theory forming through a bottom up approach using data is especially encouraged. Research in any domains are welcome, including but not pertaining only to, persuasion, ethics, equality, social benefit distribution, and humanitarian efforts. Below is a list of recommended topics, however, other relevant topics are also welcome: * Algorithm designs in Computational Social Science * Computational Social Science strategies and research processes * The role of Information Systems in Computational Social Science * Computational Social Science interdisciplinary research * Computational Social Science with Big Data applications * Computational Social Science in changing and/or influencing human behaviors * Ethics of Computational Social Science research on human behaviors * Nascent theory and hypothesis forming through the use of data (quantitative grounded theory) Reference Berente, N., Seidel, S., & Safadi, H. (2018). Research Commentary—Data-Driven Computationally Intensive Theory Development. Information Systems Research, 30(1), 50–64. Conte, R., Gilbert, N., Bonelli, G., Cioffi-Revilla, C., Deffuant, G., Kertesz, J., … Helbing, D. (2012). Manifesto of computational social science. The European Physical Journal Special Topics, 214(1), 325–346. https://doi.org/10.1140/epjst/e2012-01697-8 Giles, J. (2012). Computational social science: Making the links. Nature News, 488(7412), 448. https://doi.org/10.1038/488448a Rai, A. (2016). Editor’s comments: Synergies between big data and theory. MIS Quarterly, 40(2), iii–ix. Wallach, H. (2018). Computational Social Science ≠ Computer Science + Social Data. Communications of the ACM, 61(3), 42–44. https://doi.org/10.1145/3132698 Thank you for your consideration, Best, Au Vo (Loyola Marymount University, CA, USA - au.vo(a)lmu.edu) Yan Li (Claremont Graduate University, CA, USA - yan.li(a)cgu.edu ) Anitha Chennamaneni (Texas A & M University Central, Texas, USA - anitha.chennamaneni(a)tamuct.edu) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Special Issue: Industry experiences of Artificial Intelligence (AI): benefits and challenges in operations and supply chain management of the Production Planning & Control
by Gustaf Neumann 08 Nov '19

08 Nov '19

-------- Forwarded Message -------- Subject: [AISWorld] Special Issue: Industry experiences of Artificial Intelligence (AI): benefits and challenges in operations and supply chain management of the Production Planning & Control Date: Fri, 8 Nov 2019 08:45:17 +0000 From: FOSSO-WAMBA Samuel <s.fosso-wamba(a)tbs-education.fr> To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org> Call for papers Special Issue: Industry experiences of Artificial Intelligence (AI): benefits and challenges in operations and supply chain management Submission Deadline: November 30, 2019 Guest Editors Professor Samuel Fosso Wamba, Toulouse Business School, France Dr Maciel M. Queiroz, University of São Paulo, Brazil Professor Ashley Braganza, Brunel Business School, UK Dr Cameron Guthrie, Toulouse Business School, France Recent cutting-edge technologies such as big data analytics, internet of things (IoT), smart factories and artificial intelligence (AI) are transforming the way people acquire and consume goods, firms manufacture and deliver produce, and logistics networks and society interact (Bibby & Dehe, 2018; Gölzer & Fritzsche, 2017). Together, these new concepts and technologies are said to usher in a Fourth Industrial Revolution (Schwab, 2017), or Industry 4.0 (Fatorachian & Kazemi, 2018). Business models and logistics production systems need to adapt to the new dynamics of production and consumption. The ubiquity of smartphones and apps is drastically changing the customer experience and expectations, allowing individuals to participate in various stages of the production process. For example, the combination of digital manufacturing, mobile and augmented reality technologies allow customers to provide feedback in a co-creation process (Mourtzis, Gargallis, & Zogopoulos, 2019), while IoT, sensors and data analytics enable the continuous collection of usage data throughout the entire product lifecycle. These new modes of relationship are already impacting the work of operations and supply chain managers. One of the most promising technologies for contemporary operations and supply chain management (OSCM) is artificial intelligence. AI emerged in the 1960s as "the science of making machines do things that would require intelligence if done by men" (Minsky, 1968). Today, a new generation of AI is being used to work on a vast array of issues including product recommendations and customisation, dynamic pricing, real-time production tracking, prevention of order shipment delays and inventory shortages, customer feedback collection for product development and supplier monitoring to minimise procurement costs (Syam & Sharma, 2018). In addition, a subset of AI known as machine learning is developing methods, (e.g. regression analysis, specific algorithms) and associated technologies (e.g. sensors, APIs) that allow computer systems to "learn" using historical data and act without human intervention. AI can also potentially be combined with Industry 4.0 cutting-edge technologies, such as big data analytics, blockchain, internet of things and cyber-physical systems. The use of AI "in supply chain ecosystems [...] in combination with human behaviour will create a new degree of intelligence, innovation, and collaboration" in organizations (Bienhaus & Haddud, 2018). Today's operations and supply chain managers need to gain a better understanding about how AI can be applied to OSCM problems. The use of AI applications within an OSCM context presents considerable managerial and organizational challenges. For example, in the adoption stage managers need to identify the requisite capabilities and potential obstacles to successful AI implementation. The potential impact of AI on operations management, production planning and control, productivity and performance also need to be investigated. Managers need to understand how AI initiatives affect the interplay of business, logistics and production systems at individual, organisational and supply chain levels. For example, AI can support individual worker's activities by performing repetitive tasks: AI commanded robots can audit manufacturing processes; robots can minimize the idleness of production systems when integrated with customers and suppliers; and AI can be used for predictive maintenance when combined with IoT and machine learning. Behind each opportunity lies a challenge for managers to successfully capture the benefits from AI. Little is known for instance about the contribution of AI driven robots to production systems. From an operations management perspective, a major challenge is how to use AI to gain insights for demand forecasting and production planning. More research is required into: strategies of AI use within organizations for existing OSCM problems (e.g. production planning and control, demand forecasting, operations management optimisation, distribution management); the impact of AI on production processes throughout the value chain; the drivers, enablers and obstacles to AI adoption and use; the development of new business models; and into the implications of AI for operations management practice. This special issue aims to explore the role of AI in OSCM, and especially how AI creates value in a digital age when combined with other Industry 4.0 cutting-edge technologies. Our objective is to stimulate research and debate both around how managers are using or could use AI to improve OSCM practice and performance, and create competitive advantage, as well as the enablers and inhibitors to adoption, integration and use. This special issue invites scholars, managers and practitioners to use case studies or other empirical methods to report in-depth on AI applications in operations and supply chain management. This special issue calls for contributions to: * In-depth cases reporting on AI technology implementation challenges and benchmarks in operations and SCM; * Case studies reporting AI adoption in logistics and production systems. What are the facilitators and barriers? * The impact and benefits provided by AI technologies in operations and SCM; * Case studies reporting on the organisational capabilities (management, technological) required to support successful AI project implementation; * Productivity and performance improvements in production planning and control through AI; * How can managers use AI applications to capture benefits, efficiency, productivity and value using customer product feedback? * How can robots in manufacturing and logistics activities be employed to improve productivity and performance? What is the role of robots in a production system? * Novel conceptual models and ways of theorising about AI, operations and SCM; * Are extant theories sufficient to explain the adoption and spread of AI or what new theories are required for AI in OSCM? * The link between AI and the innovation improvement capacity of an organisation's logistics and production systems; * The contribution of AI to knowledge and learning in logistics and production systems; * Barriers and benefits related to the integration of AI technologies across the supply chain; * How is AI impacting the decision-making process in logistics and production systems? What are the consequences for the management learning and knowledge? * Frameworks to explain AI implementation in operations and SCM contexts; * Frameworks and case studies to explain the adoption and use of AI combined with other cutting-edge technologies in operations and SCM contexts; · The effects of AI on business models. How are business models changing with the adoption of AI and related technologies? What changes do new business models bring to operations management? · The critical success factors in AI diffusion stages in operations and SCM. Papers concerning these and other related critical issues in operations and supply chain challenges are encouraged. The special issue aims to sharpen the focus on, and raise the awareness of these critical issues, especially those facing developing economies as well as advanced industrial economies, and to promote research, both theoretical and empirical, on specific digitalisation related problems and innovative practices to address these problems. References Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0 maturity levels-case of the defence sector. Production Planning & Control, 29(12), 1030-1043. Bienhaus, F., & Haddud, A. (2018). Procurement 4.0: factors influencing the digitisation of procurement and supply chains. Business Process Management Journal, 24(4), 965-984. Fatorachian, H., & Kazemi, H. (2018). A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework. Production Planning & Control, 29(8), 633-644. Gölzer, P., & Fritzsche, A. (2017). Data-driven operations management: organisational implications of the digital transformation in industrial practice. Production Planning & Control, 28(16), 1332-1343. Minsky, M. L. (1968). Semantic information processing. Cambridge, Mass.: MIT Press. Mourtzis, D., Gargallis, A., & Zogopoulos, V. (2019). Modelling of Customer Oriented Applications in Product Lifecycle using RAMI 4.0. Procedia Manufacturing, 28, 31-36. Schwab, K. (2017). The fourth industrial revolution. New York: Crown Business. Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial Marketing Management, 69, 135-146. All papers will be peer reviewed and should conform to Production Planning & Control publication standards available at: http://www.tandfonline.com/action/authorSubmission?journalCode=tppc20&page=… All submissions should be made online at the Production Planning & Control Scholar One Manuscripts website (https://mc.manuscriptcentral.com/tppc). New users should first create an account. Once logged on to the site, submissions should be made via the Author Centre. Online user guides and access to a helpdesk are available on this website. Contact Professor Samuel Fosso Wamba, Toulouse Business School, France, s.fosso-wamba(a)tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr> Dr Maciel M. Queiroz, University of São Paulo, Brazil, maciel.queiroz(a)usp.br<mailto:maciel.queiroz@usp.br> Professor Ashley Braganza, Brunel Business School, UK, ashley.braganza(a)brunel.ac.uk<mailto:ashley.braganza@brunel.ac.uk> Dr Cameron Guthrie, Toulouse Business School, France, c.guthrie(a)tbs-education.fr<mailto:c.guthrie@tbs-education.fr> For more info: https://think.taylorandfrancis.com/industry-experiences-of-artificial-intel… ...................................................................................... Dr Samuel FOSSO WAMBA, Ph.D., HDR Professor in Information Systems and Data Science| TBS Service | Toulouse Business School Head of The Artificial Intelligence and Business Analytics Cluster s.fosso-wamba(a)tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr> | +33 5 61 29 50 54 | www.fossowambasamuel.com<http://www.fossowambasamuel.com/> www.tbs-education.com<http://www.tbs-education.fr/en?utm_source=signature-en&utm_medium=email-en&…> [Toulouse Business School]<http://www.tbs-education.fr/en?utm_source=signature-en&utm_medium=email-en&…> [TBS news]<http://www.tbs-education.fr/en/go/signature-blockcom-en/?utm_source=signatu…> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] 20th ACM/IFIP International Conference on Middleware 2019: Call for all Doctoroal Symposium
by Gustaf Neumann 07 Nov '19

07 Nov '19

-------- Forwarded Message -------- Subject: [WI] 20th ACM/IFIP International Conference on Middleware 2019: Call for all Doctoroal Symposium Date: Tue, 10 Sep 2019 09:26:28 +0200 From: Vinay Setty <vsetty(a)mpi-inf.mpg.de> Reply-To: Vinay Setty <vsetty(a)mpi-inf.mpg.de> To: wi(a)lists.kit.edu -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- MIDDLEWARE 2019 9-13 December 2019 UC DAVIS, CA http://2019.middleware-conference.org Call for Doctoral Symposium Papers and Participation -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- The annual ACM/IFIP Middleware conference is a major forum for the discussion of innovations and recent scientific advances of middleware systems with a focus on the design, implementation, deployment, and evaluation of distributed systems, platforms and architectures for computing, storage, and communication. Middleware 2019 will be held at UC Davis, California from 9 to 13 December 2019. The conference will include a doctoral symposium, to which all PhD students working on the topics of the Middleware conference are invited to apply. The doctoral symposium will be held prior to the main conference. The Middleware doctoral symposium is a welcoming and supportive environment allowing all PhD students to receive feedback, discuss their work, and prepare to get the most out of their participation to the main conference. All participating students will be offered the opportunity to engage with their peers, as well as with senior academic and industrial members of the Middleware community. This will include the feedback of panel members on the day of the symposium and individual meetings with a personal mentor during the conference. The symposium is open to PhD students at any stage of their studies. Applicants will be divided into two groups: - Planners: students at an early-stage of their thesis who are focused on crafting their research proposal and completing background research. - Finishers: students closer to finishing their thesis or dissertation and thinking about how to present their research, its results, and its impact. All PhD students carrying out research on middleware topics are invited to submit a position paper to the doctoral symposium. Papers will be peer-reviewed by the symposium’s committee of selected mentors. The criteria for accepting papers includes the extent of the contribution of the work to the field, the originality of the problem, and the overall quality of the position paper. Position papers should fit within the topics of the Middleware 2019 main conference Call for Papers. Position papers are limited to 2 pages (for students in the planner category) or 4 pages (for students in the Finishers category). Submissions must use the same format as for research papers (ACM SIGPLAN 9pt or 10pt). The suggested content is detailed on the Middleware 2019 website: http://2019.middleware-conference.org/doctoral.html Contributions to the Middleware 2019 PhD Workshop will appear in a proceedings that supplements the main conference proceedings. Accepted position paper will lead to a presentation during the doctoral symposium, which may require the preparation of a poster for the symposium and for the main conference. Doctoral students that submit their work to this symposium are strongly encouraged to apply for student travel grants to attend Middleware 2019. Students participating in the doctoral symposium will be given priority for the travel grants. Paper submission site: https://middleware19ds.hotcrp.com/ Important dates - Position papers submission: September 27, 2019 - Notification: October 11, 2019 - Camera Ready: October 18, 2019 Doctoral Symposium chairs - Faisal Nawab, University of California Santa Cruz, USA - Etienne Riviere, UCLouvain, Belgium Contact the chairs at middleware19dw(a)uclouvain.be -- 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] CHAOSScon EU 2020
by Gustaf Neumann 07 Nov '19

07 Nov '19

-------- Forwarded Message -------- Subject: [AISWorld] CHAOSScon EU 2020 Date: Thu, 7 Nov 2019 05:31:43 -0600 From: Matt Germonprez <germonprez(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear Colleagues, ------------------------------------------------------------------------------------------- Submit a Talk to CHAOSScon EU 2020: https://tinyurl.com/y6pfoffh ------------------------------------------------------------------------------------------- CHAOSScon is a conference hosed by the Linux Foundation's CHAOSS project: https://chaoss.community/ CHAOSScon EU 2020 will be on Jan 31, 2020 in Brussels, Belgium. The CHAOSS project is focused on the development of metrics and software, providing insight into open source community health. As corporations, foundations, conservancies, and governments increasingly rely on open source software as part of their work, understanding the health of related open source communities is becoming increasingly relevant. If you are doing work in this space and are interested in sharing that work with a diverse group of people also sharing this interest, consider submitting to CHAOSScon EU 2020. Details: *Call for Talk Proposals* Submit: https://tinyurl.com/y6pfoffh - Closes: Saturday, November 30, 2019 - Notifications: Monday, December 9, 2019 *When * January 31, 2020 9am to 5:30pm The day before FOSDEM begins *Where* Hotel ibis Brussels City Centre Rue Joseph Plateau N°2, 1000 Brussels, Belgium *CHAOSScon Code of Conduct* https://events.linuxfoundation.org/about/code-of-conduct/ Matt Germonprez -- Mutual of Omaha Professor Information Systems College of Information Science & Technology University of Nebraska Omaha CV: https://bit.ly/2kftONr Omaha Parks Foundation Board Member http://omahaparksfoundation.org/ he / him / his _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CfP - EMoWI 2020 - Ethik und Moral in der Wirtschaftsinformatik / Ethics and Morality in Business Informatics (@WI2020 in Potsdam)
by Gustaf Neumann 07 Nov '19

07 Nov '19

-------- Forwarded Message -------- Subject: [WI] CfP - EMoWI 2020 - Ethik und Moral in der Wirtschaftsinformatik / Ethics and Morality in Business Informatics (@WI2020 in Potsdam) Date: Thu, 7 Nov 2019 12:12:42 +0100 From: Jens Gulden <jens.gulden(a)uni-due.de> Reply-To: Jens Gulden <jens.gulden(a)uni-due.de> To: wi(a)lists.kit.edu ------------------------------------------------------------------------------ Call for Papers Ethik und Moral in der Wirtschaftsinformatik (EMoWI) 2020 Ethics and Morality in Business Informatics 2020 Conference Wirtschaftsinformatik 2020 Potsdam, 8 Mar – 11 Mar 2020 https://sites.google.com/view/EMoWI2020 Submission / Einreichung: https://easychair.org/conferences/?conf=emowi2020 ------------------------------------------------------------------------------ 2020-01-05 Submission deadline / Einreichungsfrist 2020-02-07 Notifications to authors / Benachrichtigung der Autoren 2020-02-14 Camera-ready Version 2020-03-08 Workshop in Potsdam (Sunday/Sonntag!) According to Immanuel Kant, ethics is concerned with the question, “What ought I to do?”, as opposed to the other three basic questions “What can I know?”, “What can I hope?”, and “What is human?”. “What ought I to do as a Business Informatics researcher?” therefore is the central question of the theme “Ethics and Morality in Business Informatics”. As this question is fundamentally philosophical in nature, it does not only concern judgments about proper conduct in specific situations. Instead, the questions invites reflections at a higher level of abstraction, enabling a critical reflection about methodological principles of our discipline from a distinctively philosophical outlook. For example, it is possible to examine how basic principles and concepts of Business Informatics are related to more encompassing concepts of human life in general. In this vein, concepts like process, architecture, decision model, algorithm, and organizational rule can be studied against the backdrop of concepts like Weltanschauung, human rights, and values. The workshop “Ethics and Morality in Business Informatics” is meant to address questions of this kind. (Deutsche Version s.u.) Topics Submissions to the workshop are invited to discuss ethical and moral questions arising in the whole spectrum of topics of Business Informatics. The following suggestions provide an impression of the intended orientation of the workshop, but you are cordially invited to propose additional topics. - Are the subjects of Business Informatics associated with specific ethical questions? As the subjects in Business Informatics typically are intangible, does this raise a need for specific procedures to justify proper conduct of Business Informatics research? - Do (research) methods in Business Informatics involve specific value statements or Weltanschauung? - Which implications for classical moral philosophies arise from recent developments in Artificial Intelligence (AI) research? - What challenges arise from the availability of IT-supported machines that should act as stand-alone agents (autonomous cars, drones)? Are there any pitfalls in Machine Learning based decision support? - Are certain species of moral philosophies (e. g., deontologist or consequentialist moral theories) especially relevant for Business Informatics? Do typical decision models in Business Informatics implicate the basic principles of specific moral theories (e. g., consequentialism)? - What kind of statements could a „Code of Ethics“ for Business Informatics professionals include (as opposed to the “Code of Ethics” of ACM)? - What experiences in relation to ethical questions were made in previous Business Informatics research projects? - What initiatives concerning ethical values in Business Informatics do already exist in academia and industry? What are the results of these initiatives? - How are ethical topics considered in Business Informatics curriculums at universities world-wide? ...and many more. Submission The workshop invites submissions that discuss actions or principles of actions as manifested in methodological assumptions and commitments in Business Informatics from an ethical point of view. This also includes experience reports about concrete projects in academia and industry where questions about right and wrong conduct played a significant role. Submissions are both invited to raise questions and to report about situations where questions have already been answered in specific ways. Philosophical methods of inquiry are welcome, but not required. Each submission will be reviewed by 3 members of the program committee. Accepted submissions must be presented by at least one author at the workshop, and it is planned to publish them as ceur-ws.org online proceedings. The maximum page number of submissions is 10 pages (including title, abstract, bibliography, appendixes, author names and affiliations and acknowledgments). Short papers with a size up to 4 pages are also welcome. The abstract should not exceed 150 words. Keywords are optional. Please upload your submission at https://easychair.org/conferences/?conf=emowi2020. The proceedings of the previous EMoWI'19 workshop are published at http://ceur-ws.org/Vol-2297/. Organization Jens Gulden, Utrecht University, Department of Information and Computing Sciences, Princetonplein 5, De Uithof, 3584 CC Utrecht, The Netherlands, Tel: +31 30 2537088, j.gulden(a)uu.nl Alexander Bock, University of Duisburg-Essen, Information Systems and Enterprise Modeling, Universitätsstr. 9, 45141 Essen, Germany, Tel: +49 201 18-34563, alexander.bock(a)uni-due.de Sergio España Cubillo, Utrecht University, Department of Information and Computing Sciences, Princetonplein 5, De Uithof, 3584 CC Utrecht, The Netherlands, Tel: +31 30 2535913, s.espana(a)uu.nl ----- Deutsche Version ----- Ethik bezeichnet den Teilbereich der Philosophie, der nach Kant über die philosophische Grundfrage „Was soll ich tun?“ reflektiert, in Abgrenzung zu den drei anderen Grundfragen „Was kann ich wissen?“, „Was darf ich hoffen?“, und schließlich der Frage „Was ist der Mensch?“. „Was soll ich als Wirtschaftsinformatiker tun?“ ist damit die Grundfrage, mit der sich ein Themenbereich „Ethik und Moral der Wirtschaftsinformatik“ auseinandersetzt. Als ethische Frage mit philosophischem Anspruch gestellt geht es dabei nicht nur um kontextbezogene methodische Einzelaussagen. Die Frage kann auch auf einer Abstraktionsebene oberhalb der methodischen Prinzipien unserer Disziplin gestellt werden, mit philosophischer Distanz und unabhängig von spezifischen kontextuellen Gegebenheiten. Um dieses Abstraktionsniveau zu erreichen können beispielsweise fachliche Grundprinzipien der WI in Bezug zu übergreifenden Konzepten des menschlichen Lebens gesetzt werden. Dazu zählen die Reflexion über Begriffe wie Prozesse, Architekturen, Algorithmen und organisationale Regeln vor dem Hintergrund von Weltanschauung, Menschenwürde und Werten. Der Workshop bietet eine Plattform für die ethische Reflexion von Themen aus dem gesamten fachlichen Spektrum der Wirtschaftsinformatik. Er versteht sich damit als Querschnitts-Workshop mit großer thematischer Breite. Themen Einreichungen zum Workshop sind eingeladen, ethische und moralische Fragen aus dem gesamten thematischen Spektrum der Wirtschaftsinformatik zu behandeln. Die nachfolgend aufgeführten Themenvorschläge geben einen Eindruck über die Ausrichtung des Workshops, können aber gerne ergänzt werden. - Sind die Betrachtungsgegenstände der WI mit spezifischen ethischen Fragen verbunden? Ergeben sich aus den zumeist intangiblen Betrachtungsgegenständen der WI besondere ethische Herausforderungen in Bezug auf Begründbarkeit und Rechtfertigung des Handelns von Wirtschaftsinformatikern? - Manifestieren sich in den Methoden der WI spezifische Wertesysteme oder Weltanschauungen? - Welche Implikationen haben jüngere Entwicklungen wie z.B. Ergebnisse der Künstliche Intelligenz (KI)-Forschung für klassische Moralphilosophien? - Welche Herausforderungen ergeben sich aus der Verfügbarkeit von IT-gestützten Maschinen, die als eigenständige Agenten auftreten sollen (autonome Autos, Drohnen)? Liegen Gefahren in einer auf Machine Learning basierenden Entscheidungsunterstützung? - Sind spezifische moralphilosophische Theorieströme (z. B. deontologische und konsequentialistische Moraltheorien) für die WI von besonderer Relevanz? Manifestieren sich in einschlägigen Entscheidungsmodellen der WI Grundprinzipien bestimmte Moraltheorien (z. B. des Konsequentialismus)? - Auf welche Aspekte sollte ein „Code of Ethics“ für die Wirtschaftsinformatik, ggf. in Abgrenzung zum „Code of Ethics“ der ACM, besonders eingehen? - Welche individuellen Erfahrungen haben Wirtschaftsinformatiker mit ethischen Fragen bei der Lösung fachlicher Aufgabenstellungen gemacht? - Welche Initiativen zum Umgang mit ethischen Werten der WI existieren auf akademischer und industrieller Ebene? Und welche Auswirkungen haben sie bisher? - Welche Berücksichtigung finden ethische Themen in WI-Lehrplänen weltweit? u. v. a. m. Einreichung Der Workshop heißt alle Einreichungen willkommen, die Handlungen von Wirtschaftsinformatikern oder Handlungsprinzipien in methodologischen Annahmen und Festlegungen der WI aus ethischer Perspektive thematisieren. Das beinhaltet auch Berichte aus konkreten Projekten in Wissenschaft und Praxis, in denen Fragen nach dem richtigen oder notwendigen Handeln eine Rolle spielen. Es können ebenso offene Fragen gestellt werden wie über Situationen berichtet werden, in denen ethische oder moralische Fragen bereits beantwortet wurden. Die Anwendung spezifisch philosophischer Untersuchungsmethoden ist nicht erforderlich, aber selbstverständlich willkommen. Jede Einreichung wird von 3 Mitgliedern des Programmkomitees peer-reviewed. Die angenommenen Beiträge müssen von mindestens einem Autor im Workshop vorgestellt werden und es ist geplant, sie in einem Tagungsband als ceur-ws.org Online-Proceedings zu veröffentlichen. Einreichungen dürfen eine Länge von 10 Seiten nicht überschreiten (inklusive Titel, Abstract, Literaturverzeichnis, Anhängen sowie Autorendetails und Danksagungen für überarbeitete Beiträge) und müssen ein Abstract von max. 150 Wörtern voranstellen. Kurzpapers mit einer Länge von bis zu 4 Seiten sind ebenfalls willkommen. Keywords sind optional. Bitte uploaden Sie Ihre Einreichung im PDF Format unter https://easychair.org/conferences/?conf=emowi2020. Die Proceedings des vorhergehenden EMoWI'19 Workshops sind unter http://ceur-ws.org/Vol-2297/ veröffentlicht. -- Dr. Jens Gulden Business Process Management and Analytics Department of Information and Computing Sciences Utrecht University Buys Ballotgebouw, Princetonplein 5, room 512 3584 CC Utrecht, The Netherlands mail j.gulden(a)uu.nl tel +31 30 2537088 -- 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] Second call for the SIGPHIL@ICIS Workshop on the End of Theory in IS and Analytics: Does Big Data Really Make the Scientific Method Obsolete?
by Gustaf Neumann 07 Nov '19

07 Nov '19

-------- Forwarded Message -------- Subject: [AISWorld] Second call for the SIGPHIL@ICIS Workshop on the End of Theory in IS and Analytics: Does Big Data Really Make the Scientific Method Obsolete? Date: Wed, 6 Nov 2019 18:25:12 -0600 From: Nik Rushdi Hassan <nhassan(a)d.umn.edu> To: AISWorld <aisworld(a)lists.aisnet.org> Dear IS colleagues, This year's popular SIGHPHIL@ICIS workshop tackles what's on every IS researcher's mind -- where are my IS theories? It is inconceivable for a field so relevant to this social media era of "fake news", weaponized information, disruptive technologies, Big Data, and what Soshana Zuboff calls "surveillance capitalism," not to be brimming with its own theories about all these phenomena. If you haven't watched Zuboff's interview on the latest PBS Frontline show "In the Age of AI" you don't want to miss it! Our IS researchers are positioned in the best possible intellectual space to respond to all these issues. Is analytics being exported from the US and China to other countries that want to control their citizens? What is the future outlook for jobs as AI and analytics take over? "We thought we were searching Google. We have no idea that Google was searching us" ~ Zuboff. Facebook and other social media providers have been hiding the extent of their collection of private data. How can we make this more transparent to the average user? What will happen when analytics that have so far been successful at suggesting what next to buy or what next to watch become also good at deepening inequalities, challenging democracies, and dividing nations and the world. Do we not have our own concepts and theories that can address such issues? These are but a few of the questions that remain unanswered and our line-up of speakers and panelists that include AIS LEOs Kalle Lyytinen, Rudy Hirschheim, Fellows Alan Hevner, Shirley Gregor, Leslie Willcocks, Alan Dennis, and other experts on analytics like Ahmed Abassi, Vasant Dhar, Foster Provost, Sumit Sarkar and Ramesh Sharda will address. The goal of the SIGPHIL workshop is to provide an opportunity to spend quality time with thought leaders of the IS community and listen to the interesting backstories and "behind the scenes" revelations in an informal and friendly environment. Because the workshop is held in the evenings of ICIS, you will still be able to attend it if you are attending any pre-ICIS programs and of course, you can always attend the workshop even if you are not attending ICIS conference, and dinner is included. If you have already registered for ICIS, go to https://icis2019.aisconferences.org/register/ to add the workshop or just add the workshop when you register for the ICIS conference. You can also register just for the workshop. Don't hesitate to email me directly at nhassan(a)d.umn.edu if you have any questions. See you there! Workshop co-chairs Nik Rushdi Hassan, Varun Grover, Leslie Willcocks SIGPHIL@ICIS 2019, Dec 15-16, Munich, Germany The End of Theory in IS and Analytics: Does Big Data Really Make the Scientific Method Obsolete? In conjunction with the 2019 International Conference of Information Systems (ICIS), the AIS Special Interest Group on Philosophy in Information Systems (AIS-SIGPHIL) will hold its 8th Concurrent SIGPHIL@ICIS Research Workshop during two evenings of the ICIS conference in Munich, Germany at the Internationales Congress Center München (ICM). Following last year’s SIGPHIL@ICIS, this year’s event continues the call for the edited series on “Advancing IS theories” by Nik Hassan and Leslie Willcocks. At the same time, the workshop provides an excellent opportunity to spend quality time with thought leaders of the IS community in an informal and friendly environment. Workshop Presenters, Organizing Committee and Contributors (in alphabetical order) Ahmed Abbasi, University of Virginia Alan Dennis, Indiana University Vasant Dhar, New York University Varun Grover, University of Arkansas Nik Rushdi Hassan, University of Minnesota Duluth Alan Hevner, University of South Florida Shirley Gregor, Australian National University Rudy Hirschheim, Louisiana State University Kalle Lyytinen, Case Western Reserve University Foster Provost, New York University Sumit Sarkar, University of Texas Dallas Ramesh Sharda, Oklahoma State University Leslie Willcocks, London School of Economics Workshop Theme The title of this workshop is paraphrased from the title of an editorial by *Wired Magazine’s* chief editor Chris Anderson (2008) who argued that with big data, we no longer have to settle for imperfect models, and since the scientific method relies on models from which we test hypotheses, big data has essential made the scientific method obsolete. Extending this argument, because theory is the goal of the scientific method, theory itself becomes unnecessary. Why do we need theory when big data can already help us predict? Not surprisingly this claim has attracted much attention from both industry and academia (Mayer-Schönberger and Cukier, 2013; Kitchin, 2014). Like many highly cited pieces, the *Wired* editorial has taken on a life of its own, as it is interpreted and reinterpreted by many to support their own stance on the topic of theory. Another article from *Wired Magazine* (Steadman, 2013) featured how big data predicted Osama bin Laden’s location from publicly available data without any need for models or theories. In other words, “it just needs to work: prediction trumps explanation” (Siegel, 2016, p. 90). Some of these researchers take big data research as an extreme form of empiricism to reignite long-standing debates surrounding the legitimacy of the social sciences and eagerly use big data to claim the status of the natural sciences for their own works. Big data has supposedly shifted the paradigm of research itself which previously could only take place as a result of trade-offs among generality, control and realism (Chang, Kauffman and Kwon, 2014). “Computational social science” (Lazer et al., 2009) using big data is free of those trade-offs. Others are more cautious. Mayer-Schönberger and Cukier (2013) consider preposterous the claim that generalizable rules are irrelevant. For example, they argue that the process of collecting big data itself is based on some kind of theory. For a field that is still struggling with theory and the role of theory in its research, this debate about the relevance and irrelevance of theory vis-a-vis analytics places our researchers in a difficult position on at least two levels. First, theory for description, explanation and prediction for any area within IS – analytics included – is itself being put to question by big data. Second, theory building within and for analytics as a subfield of IS too is unclear. At the first level, can practical questions that are targeted by analytics for specific instances (Will the customer buy? Can the MRI show anomalies?) be generalized? At the second level, why do we, IS researchers, need to worry about theory in analytics when all of its theoretical foundations were already built by scholars of statistical learning theory, computer science and operations research? Only a few scholars have addressed theory for analytics directly (Shmueli and Koppius, 2011; Agarwal and Dhar, 2014; Abbasi, Sarker and Chiang, 2016) while the rest of the IS community remain silent. Of the few IS studies that do address theory, they mostly introduce the notion of theory building within analytics as a consequence of the predictive analytics process rather than explanatory theory in general or foundational analytics theories that cut across all analytics processes including data collection, data preparation and cleaning, exploratory data analysis, model building, evaluation and deployment. Anecdotal evidence suggest that the IS community may have gravitated towards the notion that theory is indeed irrelevant for business analytics. For instance, an editor for a prestigious IS conference noted: “we have witnessed explosive growth of the business analytics field in this decade, both in research and in practice. So, why is theory building mandatory for the growth and legitimacy of the field?” Such as a state of affairs is problematic, not the least because the majority of programs in business analytics (BA) in the Schools of Business around the world are led by IS scholars and researchers. The discussion on theory in the field has left us unclear about whether or not theory does or does not play a major role and whether theory for business analytics matter at all. It may be clear to most within the IS field that our researchers are not expected to invent the next Hadoop or MapReduce, or even to write the next classification or clustering algorithm. If those technologies are not where our efforts should be expended, what exactly is the role of the IS researcher, and by extension, the practice of BA that is most relevant to IS? Is the IS researcher left with the trite and uninspiring task of researching the adoption or acceptance of big data analytics? Or can the IS researcher, as Dhar (2013) proposes, provide interesting answers to questions that we do not yet know? Or even better, as Pentland (2014) claims, we can solve macro-level problems using the micro-level big data that are being analyzed and “build a society that is better at avoiding market crashes, ethnic and religious violence, political stalemates, widespread corruption, and dangerous concentrations of power” (p. 17), all of which cannot do without solid theoretical foundations. Edited Book Series: Advancing IS Theories This struggle for theory is the theme for this year’s SIGPHIL@ICIS workshop, focusing on theory in business analytics and supporting the goals of a planned series of volumes on information systems (IS) titled: “Advancing Information Systems Theories.” The goal of this series of volume is to advance IS research beyond borrowed legitimization and derivative research towards fresh and original research that naturally comes from its own theories – information system theories. The first volume on the process of IS theorizing is in the final stages of review and near publication. The second volume concerns efforts that approach theories – what Weick (1995) calls “interim struggles.” This volume comes out of the realization that the process of theorizing can be long and arduous and like all great things, will not be built in a day, much less in an edited volume. So, although they may not be called theories with a capital “T,” they nevertheless approximate theory and should not be dismissed. They may be called “principles,” “propositions,” “models,” “paradigms,” “concepts,” “frameworks” or what have you. They are the products of theorizing and are precursors to strong theory, and as long as they are fresh and original, they go a long way in advancing IS theories. A demonstrative list of chapters for Vol. II is provided below: Introduction: The products of IS theorizing (Hassan, Mathiassen & Lowry) 1 The prospects of theory for business analytics 20 A review of information theory in information systems (McKinney) 40 Design principles in design science (Gregor and Hevner) 60 IS Concepts: Declaring IS to the world 80 Mapping an IS research framework 100 Models and contexts of discovery in IS 120 IS constructs and variables 140 A collection of IS propositions 160 [Tentative] Program Schedule Sunday, Dec 15, 2019 (Location: TBD) 7:30pm-7:40pm: Introductions by Nik Hassan: The goals for the workshop and the notion of products of theorizing 7:40pm – 8:10pm First Plenary Keynote by Varun Grover and Kalle Lyytinen on “Role of theory in the environment of big data” 8:10pm-8:40pm Second Keynote by Rudy Hirschheim on “Big Data is anathema to theory and understanding” followed by Q&A 10 min Coffee Break 9:00-9:30pm Third Keynote by Alan Hevner and Shirley Gregor (via Skype) on “The Scientific Method is Alive and Kicking in Design Science Research for Analytics” 9:30pm-10:00pm Panel response to Keynotes: Panelist Sumit Sarkar and Ramesh Sharda Monday, Dec 16, 2019 (Location: TBD) Dinner 5:30-7:00pm (Venue: TBD) 7:00pm-7:15pm: Brief introduction by Leslie Willcocks: Where are the IS Theories in Analytics? 7:15pm-7:50pm Third Keynote, Ahmed Abbasi on “The Pendulum has Swung: From Big Data Hubris to AI Hubris” with Discussion and Q&A 7:50-8:30pm Skype Guest Speakers Vasant Dhar and Foster Provost on “Prospects of Theory with Big Data Analytics” 10 min Coffee Break 8:45pm-9:30pm Workshop wrap-up discussion by Alan Dennis, Rudy Hirschheim and Leslie Willcocks References Abbasi, A., S. Sarker and R. Chiang. (2016). “Big data research in information systems: Toward an inclusive research agenda.” *Journal of the Association for Information Systems*, *17*(2), i–xxxii. Agarwal, R. and V. Dhar. (2014). “Big data, data science, and analytics: The opportunity and challenge for IS research.” *Information Systems Research*, *25*(3), 443–448. Anderson, C. (2008). “The end of theory.” *Wired*, *16*(7), 71. Chang, R. M., R. J. Kauffman and Y. Kwon. (2014). “Understanding the paradigm shift to computational social science in the presence of big data.” *Decision Support Systems*, *63*, 67–80. Dhar, V. (2013). “Data science and prediction.” *Communications of the ACM*, *56*(12), 64–73. Kitchin, R. (2014). *The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences*. Thousand Oaks, CA: SAGE Publications. Lazer, D., A. Pentland, L. Adamic, S. Aral, A.-L. Barabási, D. Brewer, … M. Van Alstyne. (2009). “Computational social science.” *Science*, *323*(5915), 721–723. Mayer-Schönberger, V. and K. Cukier. (2013). *Big Data: A Revolution That Will Transform How We Live, Work, and Think*. New York: Houghton Mifflin Harcourt. Pentland, A. (2014). *Social Physics: How Good Ideas Spread -- the Lessons from a New Science*. New York: Penguin Press. Shmueli, G. and O. Koppius. (2011). “Predictive analytics in information systems research.” *MIS Quarterly*, *35*(3), 553–572. Siegel, E. (2016). *Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die*. New York: Wiley. Steadman, I. (2013). “Big data, language and the death of the theorist (Wired UK).” Retrieved from http://www.wired.co.uk/news/archive/2013-01/25/big-data-end-of-theory (visited on September 27, 2019) Weick, K. E. (1995). “What theory is not, theorizing Is.” *Administrative Science Quarterly*, *40*(3), 385–390. -- Nik Rushdi Hassan, PhD and Assoc. Professor of MIS Head, Dept of Management Studies Labovitz School of Business and Economics University of Minnesota Duluth 1318 Kirby Drive, LSBE 385A Duluth MN 55812 Office Phone: (218) 726-7453 Fax: (218) 726-7578 Home Page: www.d.umn.edu/~nhassan Email: nhassan(a)d.umn.edu LinkedIn: www.linkedin.com/in/nikrushdi/ _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] [Submission System Opens] Special Issue on “Dark Side of Online Information Behavior"
by Gustaf Neumann 06 Nov '19

06 Nov '19

-------- Forwarded Message -------- Subject: [AISWorld] [Submission System Opens] Special Issue on “Dark Side of Online Information Behavior" Date: Wed, 6 Nov 2019 15:15:47 +0000 From: Ben Choi (Asst Prof) <benchoi(a)ntu.edu.sg> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> CC: Ben Choi (Asst Prof) <benchoi(a)ntu.edu.sg> Call for Paper Information Processing & Management Special Issue on "Dark Side of Online Information Behavior" NOTE: The submission system opens TODAY. The potential authors can submit their papers at any time prior to January 31, 2020. Articles will be reviewed on a first come-first review basis, and the submitted papers will be immediately handled as they come in. The authors can get the feedback very quickly (e.g., normally desk check within 0.5 week and sending out for review within 1 week). Introduction The dark side of online information behavior represents the negative phenomena associated with the management of information in the online environment. With the widespread availability of Internet and the emerging technologies, cyberspace becomes one of the most important channels for people to generate, organize, store, retrieve, acquire, disseminate and utilize information. Recognizing that information can be easily managed online although it causes different types of negative consequences. For example, 87 million Facebook user profiles have been improperly shared and misused by Cambridge Analytica, and online information privacy becomes a worldwide concern in recent years. Online fake news also exerts profound influence on political, economic, and social well-being. With the increasing volume of available information, we also witnessed a society of information overload and information anxiety. At the same time, information violence and harassment foster a hostile online environment. The power of artificial intelligence makes it easier for people to access the information they need, but it also creates information cocoons. Although there are many dark sides of online information behavior, current studies on this topic are still limited, leaving considerable gaps in the literature, particularly on how to conceptualize and operationalize the dark or unexpected negative sides of online information behaviors, how to theorize the underlying cognitive, psychological and social processes of such behaviors, and how to implement system design and information recognition to avoid negative information behaviors. The objective of this special issue thus is to push the boundaries of information behavior research, and draw the urgent attention of academics and practitioners to this important and fertile area. We believe this is a topic of challenges faced by multidisciplinary fields such as information systems, library and information science, computer science, marketing, communication and cognitive sciences. This special issue seeks high-quality and original contributions that advance the concepts, methods and theories by exploring the dark side of online information behaviors, and address the mechanisms, strategies and techniques for behavioral interventions. All contributions should clearly address the knowledge gaps indicated in the literature and will be peer-reviewed by the panel of experts associated with relevant field. This special issue is open to submissions from all theoretical and methodological perspectives. We particularly welcome research that challenges the boundaries of traditional academic thinking, integrates and expands the knowledge rooted in diverse disciplines and within diverse contexts, and comes up with innovative ideas in theorizing and resolving the negative issues related to online information behavior. The topics of interest include, but are not limited to: • Misinformation, disinformation and online fake news • Information addiction, overload and underload • Information privacy and security concerns • Technophobia and information anxiety • Information violence and harassment • Illegal or unethical information searching, distribution and use • Deceptive online communication • Information cocoons and echo-chambers • Information distractions, disruptions and interruptions • Counterproductive online information behaviors • Data-driven negative information extraction, recognition and validation methods • System design that tracks and solves the above negative issues related to information behavior Important dates • Submission system opens: August 30, 2019 • Initial submission deadline: January 31, 2020 • First-round decision: March 31, 2020 • Revision submission: May 15, 2020 • Second-round decision: June 30, 2020 • Final revision submission: July 31, 2020 • Final decision: August 15, 2020 Guest editors Dr. Xiao-Liang Shen (Wuhan University, Email: xlshen(a)whu.edu.cn<mailto:xlshen@whu.edu.cn>) Dr. Bo Sophia Xiao (University of Hawaii at Manoa, Email: boxiao(a)hawaii.edu<mailto:boxiao@hawaii.edu>) Dr. Wei Lu (Wuhan University, Email: weilu(a)whu.edu.cn<mailto:weilu@whu.edu.cn>) Dr. Ben Choi (Nanyang Technological University, Email: benchoi(a)ntu.edu.sg<mailto:benchoi@ntu.edu.sg>) For further information, please feel free to contact the special issue guest editors. Submission Guidelines All submissions must be original, not published or under review elsewhere. Authors should follow the “Guide for Authors”, which can be found at the homepage of Information Processing & Management, and submit their manuscripts through Elsevier online submission system by selecting the issue "Dark information behavior" from the dropdown list. The authors are also suggested to explain how their manuscripts advance the current understanding of the negative issues related to online information behavior in the cover letter. About Information Processing & Management Information Processing and Management (IP&M) is a leading international journal focusing on publishing peer-reviewed original research concerning theory, methods, or application in the field of information science. The journal's aim is to serve the interests of researchers and practitioners in furthering knowledge in the broad area of information science and related fields by providing an effective forum for the timely dissemination of advanced and topical issues. IP&M is also indexed by a number of major indexes, including SCI and SSCI, with a current impact factor of 3.892. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] First Call for Papers - 4th Workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory (HUMANIZE)
by Gustaf Neumann 06 Nov '19

06 Nov '19

-------- Forwarded Message -------- Subject: [WI] First Call for Papers - 4th Workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory (HUMANIZE) Date: Tue, 05 Nov 2019 14:34:26 +0000 From: Mark Graus <mp.graus(a)maastrichtuniversity.nl> Reply-To: Mark Graus <mp.graus(a)maastrichtuniversity.nl> To: wi(a)aifb.uni-karlsruhe.de ------------------------------------------------------------------------ *Please forward to anyone who might be interested* Apologies for cross-posting. ------------------------------------------------------------------------ First Call for Papers: 4th Workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory (HUMANIZE) http://www.humanize-workshop.org/ March 17, 2020, Cagliari (Italy) In conjunction with IUI 2020 http://iui.acm.org/2020/ ------------------------------------------------------------------------ MOTIVATION AND GOALS More and more systems are designed to be intelligent; By relying on data and the application of machine learning, these systems adapt themselves to match predicted or inferred user needs, preferences. Observable, measurable, objective interaction behavior plays a central role in the design of these systems, in both the predictive modeling that provides intelligence (e.g., predicting what web pages a website visitor will visit based on their historic navigation behavior) and the evaluation (e.g., decide if a system performs well based on the extent that predictions are accurate and used correctly). When designing more conventional systems (following approaches such as user-centered design or design thinking), designers rely on latent user characteristics (such as beliefs and attitudes, proficiency levels, expertise, personality) aside from objective, observable behavior. By relying on qualitative studies (e.g., observations, focus groups, interviews) they consider not only user characteristics or behavior in isolation, but also the relationship among them. This combination provides valuable information on how to design the systems. HUMANIZE aims to investigate the potential of combining the quantitative, data-driven approaches with the qualitative, theory-driven approaches. We solicit work from researchers that incorporate variables grounded in psychological theory into their adaptive/intelligent systems. These variables allow for designing adaptive systems from a more user-centered approach in terms of requirements or needs based on user characteristics rather than solely interaction behavior, which allows for: Explainability Any adaptive system that relies solely on the interaction behavior data can be explained in terms of expectations, perceptions, variables and models used from theory and define the users as entities, their thinking and feeling, while undertaking purposeful actions (and reactions) regarding e.g., learning, reasoning, problem solving, decision making. Fairness Any adaptive system that considers a human-centred model in its core may consider and respect the individual differences, enabling the design and creation of environments, interventions and AI algorithms that are ethical, open to diversity, policies and legal challenges, and treating all users with fairness regarding their skills and unique characteristics. Transparency Any adaptive system that utilizes the full potential of its human-centred model in terms of definition and impact on decisions made by AI algorithms may facilitate the visibility and transparency of the subsequent actions bringing the control back to the users, for regulating, monitoring and understanding an adaptive outcome that directly affects them. Bias Any adaptive system�s AI algorithms and adaptive processes which are designed and developed considering human-centred model characteristics, the impact and relationships of subsequent variables, may facilitate informed interpretations and unveil possible bias decisions, actions and operations of users during their multi-purpose interactions. TOPICS OF INTEREST A non-exhaustive list of topics for this workshop is: - Identifying theory (e.g., personality, level of domain knowledge, cognitive styles) that can be used for user models for personalizing user interfaces. - Investigating the impact of incorporating psychological theory on explainability, fairness, transparency, and bias - Modeling for inferring of user variables from observable/measureable/objective data (e.g., how to infer personality from social media, how to infer level of domain knowledge from clickstreams). - Designing better adaptive systems from inferred user variables (e.g., altering the number of search results, ordering of interface elements, visual versus textual representations). - User studies investigating one or more of the aspects mentioned above. TYPES OF PAPERS For this workshop we encourage three kinds of submissions: - Full papers (anonymized 8-10 pages) - Short papers (anonymized up to 4-6 pages) - White papers/Position Statements (anonymized up to 2-4 pages) * page count is excluding references Submissions should follow the standard SigConf format. Use either the Microsoft Word template or the LaTeX template: - Microsoft Word: http://st.sigchi.org/sigchi-paper-template/SIGCHIPaperFormat.docx - LaTex: https://github.com/sigchi/Document-Formats/tree/master/LaTeX IMPORTANT DATES - December 20, 2019: Submission Deadline - January 14, 2020: Notification to Authors - March 17, 2020: Workshop at IUI 2020 (Cagliari, Italy) SUBMISSION & PUBLICATION All submissions will undergo a peer-review process to ensure a high standard of quality. Referees will consider originality, significance, technical soundness, clarity of exposition, and relevance to the workshop�s topics. The reviewing process will be double-blind so submissions should be properly anonymized. Research papers should be submitted electronically as a single PDF through the EasyChair conference submission system: https://easychair.org/conferences/?conf=humanize2020 Accepted submissions will be included in the joint ACM IUI workshop proceedings published as a CEUR-WS volume. In order for accepted papers to be included, at least one author should be registered (http://iui.acm.org/2020/registration.html) and attend the workshop. ORGANIZING COMMITTEE Mark Graus � mp.graus(a)maastrichtuniversity.nl Department of Marketing and Supply Chain Management School of Business and Economics Maastricht University, the Netherlands http://www.markgraus.net Bruce Ferwerda � bruce.ferwerda(a)ju.se Department of Computer Science and Informatics School of Engineering J�nk�ping University, Sweden http://www.bruceferwerda.com Marko Tkalcic � marko.tkalcic(a)unibz.it Faculty of Computer Science University of Primorska, Koper, Slovenia http://markotkalcic.com/ Panagiotis Germanakos � panagiotis.germanakos(a)sap.com UX, Mobile & Business Services P&I Industry Cloud & Custom Development SAP SE, Germany Department of Computer Science University of Cyprus, Cyprus http://scrat.cs.ucy.ac.cy/pgerman/ -- 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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