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Fwd: [ACSOS] Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at IEEE ACSOS
by Gustaf Neumann 14 Mar '20

14 Mar '20

-------- Forwarded Message -------- Subject: [ACSOS] Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at IEEE ACSOS Date: Sat, 14 Mar 2020 15:43:59 +0100 From: Christian Krupitzer <christian.krupitzer(a)uni-wuerzburg.de> To: acsos(a)lists.uni-wuerzburg.de Dear Colleagues, We apologize if you received multiple CFPs for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), the merger of the IEEE/ACM ICAC and the IEEE SASO conferences. A short version of the CFP follows, the full version can be found here: http://seac2020.informatik.uni-wuerzburg.de/ ========================================== ** Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020)** At IEEE ACSOS 2020, August 17-21, Washington DC, USA The workshop on self-aware computing (SeAC) provides a forum to foster interaction and collaborations between the respective research communities, raising the awareness about related research efforts and synergies that can be exploited to advance the state of the art. The workshop was initiated by the 2015 Dagstuhl Seminar 15041 on model-driven algorithms and architectures for self-aware computing systems, which brought together 45 international experts. Paper submission deadline: June 12, 2020 Talk submission deadline: June 12, 2020 Author notification: July 1, 2020 Final Manuscript (paper): July 8, 2020 Workshop Day: August 17, 2020 List of Topics This workshop is interested in all the topics concerning self-aware computing systems; however, for this year, we have a special theme on evaluation of SeAC systems. Please find below several examples of possible topics: - Fundamental science and theory of self-aware systems - Levels and aspects of self-aware systems - Architectures for individual and collective systems - Methods and algorithms for model learning (self-modeling) and reasoning - Self-adaptation in individual and collective systems - Synthesis and verification metrics and benchmarks - Tool support for evaluation and measurements, and quality assurance - Open challenges and future research directions - Applications and case studies: cloud computing, cyber-physical systems, data centers, dependable computing, industrial internet / industry 4.0, internet of things, mobile computing, service-oriented systems, smart buildings, smart city, smart grid / energy management, smart factory, traffic management, autonomous robotics, and space applications. Submission Guidelines The workshop participants will be selected based on their experience and ideas related to the field of self-aware computing. There are two ways to participate: i) present a talk without a respective paper published in the workshop proceedings, ii) submit a paper to be presented at the workshop and published in the workshop proceedings: - Full workshop paper limited to 6 pages (double column, IEEE format, including references) - Short workshop paper limited to 4 pages (double column, IEEE format, including references) - Talk extended abstract limited to 1 page (without formatting restrictions) We kindly invite PhD students to unleash their creativity and submit their ideas about the application of the IT solutions in everyday life and in particular in autonomic and self-managing systems. All the papers must be written in English and must conform to the double-column IEEE formatting guidelines. At least three PC members will review each submission. The authors will be notified about acceptance before the ACSOS 2020 early registration deadline. At least one author of each accepted submission must register and present the paper. All workshop papers will be submitted for inclusion to IEEE Xplore. Submission can be done via EasyChair: https://easychair.org/conferences/?conf=seac2020 Organization - Christian Krupitzer, University of Würzburg, Germany, christian.krupitzer(a)uni-wuerzburg.de - Peter Lewis, Aston University, Birmingham, UK, p.lewis(a)aston.ac.uk - Ilias Gerostathopoulos, Vrije Universiteit Amsterdam, Netherlands, i.g.gerostathopoulos(a)vu.nl - Thomas Prantl, University of Würzburg, Germany, thomas.prantl(a)uni-wuerzburg.de (Publicity Chair) _______________________________________________ acsos mailing list acsos(a)lists.uni-wuerzburg.de https://lists.uni-wuerzburg.de/mailman/listinfo/acsos

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Fwd: [AISWorld] CFP: The Int. Conference on Deep Learning, Big Data and Blockchain
by Gustaf Neumann 13 Mar '20

13 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: The Int. Conference on Deep Learning, Big Data and Blockchain Date: Fri, 13 Mar 2020 09:30:11 +0000 From: Deep-BDB <deepml.info(a)gmail.com> To: aisworld(a)lists.aisnet.org ------------------------ Call for Papers (Deadline Extended)----------------------------- The 2nd International Conference on Deep Learning, Big Data and Blockchain (DEEP-BDB 2020) (Springer Series) 24-26 August 2020, Rome, Italy http://www.ficloud.org/deep-bdb/ ----------------------------------------------------------------------------------------- Deep and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. All such fields produce and consume massive amount of big data, which include, for example, online commerce data (marketing data, customer reviews, customer relationship), transportation data (road sensors, cameras, GPS), and data about healthcare, social media, and various other applications. Deep learning techniques and big data techniques yield useful outputs in predicting, discovering and acquiring insights and deeper knowledge about events for better and efficient decision making. The groundbreaking technology of blockchain technology also enable decentralization, immutability, and transparency of data and applications. It has been exploited in modern research and industrial domains in order to achieve high level of trust, security and reliable execution of applications and data which are shared across a network of computers. The International Conference on Deep Learning, Big Data and Blockcain (DEEP-BDB) aims to enable synergy between these areas and to provide a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Topics of interest include (but not limited to): - Deep/Machine learning based models - Statistical models and learning - Data analysis, insights and hidden pattern - Data analysis and decision making - Data wrangling, munching and cleaning - Data integration and fusion - Data visualization - Data and information quality - Security threat detection - Visualizing security threats - Enhancing privacy and trust - Data mining; Information extraction; - Sentiment analysis - Data classification and clustering - Knowledge acquisition and learning - Clustering, classification and regression - Supervised and unsupervised learning - Blockain security and trust - Blockchain data management - Data & application reliability - Blockchain and data distribution - Blockain and finacial transactions - Blockchain and Bitcoin applications - Blockain and NoSQL databases - Protocols for blockchain - Cryptography, Cryptocurrency - Fraud detection and prevention - Blockchain and Internet of Things - Scalability of blockchains Application areas: - Finance, business and retail - Intelligent transportation - Healthcare and clinical decision support - Bioinformatics and biomedical informatics - Computer vision - Human activity recognition - Cybersecurity - Natural language processing - Recommender systems - Social media and networks Important Dates: Submission Deadline: 02 April 2020 Authors Notification: 20 May 2020 Final Manuscript Due: 15 June 2020 Paper Submission: Papers must be written in English. Full papers should be limited to 12 pages. Short papers should be limited to 8 pages. Papers must be formatted in Springer's format. See Information for Authors of Springer Proceedings ( https://www.springer.com/us/authors-editors/conference-proceedings/conferen… ). All papers accepted for this conference are peer-reviewed and are to be published by Springer in the Advances in Intelligent Systems and Computing series. Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceeding Submition of papers are done through the EasyChair submission system. See conference website for further details. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] AI Paradigms for Smart Cyber-Physical Systems: book chapter.
by Gustaf Neumann 13 Mar '20

13 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] AI Paradigms for Smart Cyber-Physical Systems: book chapter. Date: Fri, 13 Mar 2020 11:56:54 +0300 From: Atilla Elçi <atilla.elci(a)gmail.com> To: tccc-announce(a)comsoc.org, CSPlus-Admin <cfp-admin(a)grid.chu.edu.tw>, mycolleagues(a)mailman.ufsc.br, team(a)researchbib.com, AISWorld(a)lists.aisnet.org, ai-sges(a)jiscmail.ac.uk Inviting you to propose a book chapter soon: due date is in 10 days! Call for Chapters: Artificial Intelligence Paradigms for Smart Cyber-Physical Systems Proposals Submission Deadline: March 23, 2020 Full Chapters Due: March 23, 2020 Final Chapter Submission Date: June 30, 2020 Recommended Topics Topics of interest include, but are not limited to: • Data management, knowledge representation and ontology for Cyber-Physical Systems • Big data and smart computing for Cyber-Physical Systems • Algorithms, models, and designs for social Cyber-Physical Systems • Machine learning for/with Cyber-Physical Systems • Nature-Inspired Algorithms for Cyber-Physical Systems • Affecting Ubiquitous Intelligence in Cyber-Physical Computing • Device Virtualization (DV) in pervasive Cyber-Physical Systems • Issues and implementation of Privacy, Security, and Trust in Cyber-Physical Systems • Affecting Context-Awareness for Cyber-Physical Systems • Design, development, and implementation of Smart Cyber-Physical Systems • Comparison of artificial intelligence-based approaches to Cyber-Physical Systems • AI-based fraud detection, and mitigation • Smart IDS and IPS for Cyber-Physical System • Cyber-attack forecasting, detection, and mitigation • Innovative applications of Cyber-Physical Systems in various domains Submission Procedure Researchers and practitioners are invited to submit full chapters by *March 23, 2020*, and all interested authors must consult the guidelines for manuscript preparation at http://www.igi-global.com/publish/contributor-resources/before-you-write/; please use “Authored or Edited Chapter Template” prior to submission at the eEditorial Discovery® online submission manager ( https://www.igi-global.com/submission/). All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. Authors will be notified by *June 15, 2020* about the status of their chapters. Note: *There are no submission or acceptance fees for manuscripts submitted to this book publication*, *Artificial Intelligence Paradigms for Smart Cyber-Physical Systems*. All manuscripts are accepted based on a double-blind peer review editorial process. All full chapters must be submitted through the eEditorial Discovery®TM online submission manager. *This publication is anticipated to be released in 2020*. Inquiries Dr. Ashish Kr. Luhach ashishluhach(a)acm.org Dr. Atilla Elçi atilla.elci(a)gmail.com Saygılarımla / Warm greetings Atilla Elci, Ph.D., camp Aksaray, TR. My books on Amazon: https://www.amazon.com/s?k=Atilla+ELCI&ref=nb_sb_noss https://scholar.google.com/citations?user=wpQvtlQAAAAJ&hl=en _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [fai-saso] Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at IEEE ACSOS
by Gustaf Neumann 13 Mar '20

13 Mar '20

-------- Forwarded Message -------- Subject: [fai-saso] Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at IEEE ACSOS Date: Thu, 12 Mar 2020 23:49:27 +0100 From: Christian Krupitzer <christian.krupitzer(a)uni-wuerzburg.de> To: fai-saso(a)listserv.uni-augsburg.de Dear Colleagues, We apologize if you received multiple CFPs for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020) at the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), the merger of the IEEE/ACM ICAC and the IEEE SASO conferences. A short version of the CFP follows, the full version can be found here: http://seac2020.informatik.uni-wuerzburg.de/ ========================================== ** Call for Papers for the Workshop on Self-aware Computing Systems 2020 (SeAC 2020)** At IEEE ACSOS 2020, August 17-21, Washington DC, USA The workshop on self-aware computing (SeAC) provides a forum to foster interaction and collaborations between the respective research communities, raising the awareness about related research efforts and synergies that can be exploited to advance the state of the art. The workshop was initiated by the 2015 Dagstuhl Seminar 15041 on model-driven algorithms and architectures for self-aware computing systems, which brought together 45 international experts. Paper submission deadline: June 12, 2020 Talk submission deadline: June 12, 2020 Author notification: July 1, 2020 Final Manuscript (paper): July 8, 2020 Workshop Day: August 17, 2020 List of Topics This workshop is interested in all the topics concerning self-aware computing systems; however, for this year, we have a special theme on evaluation of SeAC systems. Please find below several examples of possible topics: - Fundamental science and theory of self-aware systems - Levels and aspects of self-aware systems - Architectures for individual and collective systems - Methods and algorithms for model learning (self-modeling) and reasoning - Self-adaptation in individual and collective systems - Synthesis and verification metrics and benchmarks - Tool support for evaluation and measurements, and quality assurance - Open challenges and future research directions - Applications and case studies: cloud computing, cyber-physical systems, data centers, dependable computing, industrial internet / industry 4.0, internet of things, mobile computing, service-oriented systems, smart buildings, smart city, smart grid / energy management, smart factory, traffic management, autonomous robotics, and space applications. Submission Guidelines The workshop participants will be selected based on their experience and ideas related to the field of self-aware computing. There are two ways to participate: i) present a talk without a respective paper published in the workshop proceedings, ii) submit a paper to be presented at the workshop and published in the workshop proceedings: - Full workshop paper limited to 6 pages (double column, IEEE format, including references) - Short workshop paper limited to 4 pages (double column, IEEE format, including references) - Talk extended abstract limited to 1 page (without formatting restrictions) We kindly invite PhD students to unleash their creativity and submit their ideas about the application of the IT solutions in everyday life and in particular in autonomic and self-managing systems. All the papers must be written in English and must conform to the double-column IEEE formatting guidelines. At least three PC members will review each submission. The authors will be notified about acceptance before the ACSOS 2020 early registration deadline. At least one author of each accepted submission must register and present the paper. All workshop papers will be submitted for inclusion to IEEE Xplore. Submission can be done via EasyChair: https://easychair.org/conferences/?conf=seac2020 Organization - Christian Krupitzer, University of Würzburg, Germany, christian.krupitzer(a)uni-wuerzburg.de - Peter Lewis, Aston University, Birmingham, UK, p.lewis(a)aston.ac.uk - Ilias Gerostathopoulos, Vrije Universiteit Amsterdam, Netherlands, i.g.gerostathopoulos(a)vu.nl - Thomas Prantl, University of Würzburg, Germany, thomas.prantl(a)uni-wuerzburg.de (Publicity Chair) _______________________________________________ fai-saso mailing list fai-saso(a)listserv.uni-augsburg.de https://mailman.rz.uni-augsburg.de/mailman/listinfo/fai-saso

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Fwd: [AISWorld] Special Section of JMIS on Fake News on the Internet, papers due April 30, 2020
by Gustaf Neumann 13 Mar '20

13 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] Special Section of JMIS on Fake News on the Internet, papers due April 30, 2020 Date: Fri, 13 Mar 2020 06:04:15 +0000 From: Galletta, Dennis <GALLETTA(a)pitt.edu> To: 'AISWorld(a)lists.aisnet.org' <AISWorld(a)lists.aisnet.org> Dear colleagues: This is a 2nd reminder: *Journal of Management Information Systems * *Special Section on Fake News on the Internet* *Due Date: April 30, 2020* The online generation and dissemination of false information (e.g., through Facebook, Twitter, Snapchat and other Internet media), commonly referred to as "fake news", has garnered immense public attention following the 2016 Brexit referendum, the 2016 and 2018 US elections, the 2019 Indian lynchings, and the 2019 rise in polio cases in Pakistan. Fake news undermines public life across the globe, especially in countries where journalistic practices and institutions are weak [3]. Some fake news is created to spread ideological messages or to create mischief whereas other fake news is created for profit, such as the Macedonian teenagers who created fake news sites to drive advertising [21]. Research shows that fake news spreads "significantly farther, faster, deeper, and more broadly" than true news [23:1146] and has had major societal impacts [14]. All signs indicate that it will get worse as political activists, scammers, alternative news media, and hostile governments become more sophisticated in their production and targeting of fake news. Fake news and other types of false information are also a matter of concern for business and management research and practice [2,8,18]. Businesses have engaged in deceptive communications such as greenwashing, astroturfing, false advertising and other types of false messages [4,13], but false content presented as news presents a novel range of issues for individuals, organizations, and societies [1,17]. The widespread adoption and use of information and communication technologies, particularly social and digital media, play a key role in the current wave of fake news and false information sweeping the globe [1,6,12]. We believe that the IS discipline can contribute significantly to the discourse, as it already has in related areas such as cyberdeviance [22] and deception [e.g., 5]. Our field can draw on its intellectual core of theories and empirical findings on the design, use, and impacts of IT artifacts at different levels of analysis. A nascent body of IS research on this topic is emerging [7,15,16,17,19]. Related areas such as review manipulation [e.g., 10] and social behaviors in online social networks [e.g., 9,11,20] can provide valuable lessons to apply to online fake news and false information more generally. Yet there is a dearth of evidence about many aspects, and many issues remain open to debate. This Special Section seeks to expand this emerging work and mobilize a full-fledged research agenda on fake news within the IS discipline. We call for papers addressing interesting IS questions around the fake news phenomenon on the Internet. We seek a wide range of research in content, theory, perspectives, methods, and stakeholders affected. We encourage pure IS research as well as inter-disciplinary research with partners from journalism, communication, sociology, political science, and other disciplines. Example fake news (FN) topics for the special issue include, but are not limited to: * Different sources, domains, and purposes of FN * Impacts of FN on users, groups, companies, and/or societies * User attitudes and behaviors about FN, and the effectiveness of user interventions (e.g. education, nudges) * Trust, authenticity, authority, and truth on social media and the Internet in general * Social media companies' attitudes and behavior around the consumption and/or sharing of FN * Effects of platform governance, management, and technical affordances on the spread and consumption of FN * Technical, behavioral, economic, regulatory/policy solutions to reduce the consumption and/or sharing of FN * Design of algorithms, social bots, curation systems, recommendation systems and their effects on the spread of FN, whether to promote or inhibit FN. * Crowdsourcing innovations to counter FN * Contribution of online communities in the incubation, spread, and/or detection of FN * Business models, innovations and opportunities in news and media businesses to counter FN * National, cultural, and institutional differences in the nature and dynamics of FN * Organized disinformation operations on social media: sources, dynamics, effectiveness, and responses * Social media manipulation and algorithmic "gaming" to encourage the spread of FN * New theories around FN. We welcome research using a variety of methodologies, and at any level of analysis, such as: * High quality qualitative (e.g., interview, observation) or quantitative (e.g., experimental, survey) research of all kinds * Archival and observational research using data drawn from the Internet * Mixed methods research (e.g., surveys complemented with digital trace data) * Research proposing and evaluating innovative artifacts (i.e., design science research) * Comprehensive theory development papers. *Timeline* Authors are welcome to email an abstract or extended abstract to the Guest Editors prior to submission if they have questions about their paper's fit with the special section. Official submissions should be emailed to: ardennis(a)iu.edu<mailto:ardennis@iu.edu> Due: April 30, 2020 Notification: July 15, 2020 1st Resubmission: October 15, 2021 Notification: January 15, 2021 2nd Resubmission: April 15, 2021 Final Decisions: June 15, 2021 *Guest Editors* *Alan Dennis, Indiana University, USA, **ardennis(a)iu.edu<mailto:**ardennis@iu.edu> <ardennis(a)iu.edu<mailto:ardennis@iu.edu>>* Alan has conducted several lab experiments and surveys on the consumption and sharing of fake news. He has written more than hundred research articles, and served as Senior Editor for *MIS Quarterly. *His other research interests include virtual teams (including virtual reality), NeuroIS, and designing IT to influence subconscious cognition. He serves on the editorial board of *Journal of Management Information Systems*. *Dennis Galletta, University of Pittsburgh, USA, * *galletta(a)pitt.edu<mailto:*galletta@pitt.edu><galletta(a)pitt.edu<mailto:galletta@pitt.edu>>* Dennis has conducted studies in the related area of phishing (e.g., Moody et al. 2017) and has launched a two-study project to research fake news. He is an AIS Fellow, a LEO lifetime achievement awardee, and serves as Doctoral Director for the Business School. He has published over a hundred articles, conference papers, and books. He serves as an *MIS Quarterly* Senior Editor and an editorial board member of *Journal of **Management Information Systems*. *Jane Webster, Queen's University, Canada, * *jane.webster(a)queensu.ca<mailto:*jane.webster@queensu.ca><jane.webster(a)queensu.ca<mailto:jane.webster@queensu.ca>>* Jane has worked in areas related to fake news, including knowledge hiding, knowledge sharing, and greenwashing. She has served as a Senior Editor for *MIS Quarterly *and VP Publications for AIS. She has published over a hundred research papers, most recently focusing on information systems and technologies to support environmental sustainability. * References* 1. Allcott, H. and Gentzkow, M. Social media and fake news in the 2016 election. *Journal of Economic Perspectives*, *31*, 2 (May 2017), 211-236. 2. Aral, S. Truth, Disrupted. *Harvard Business Review*, 2018, 3-11. 3. Bradshaw, S. and Howard, P.N. Challenging truth and trust: A global inventory of organized social media manipulation. *The Computational Propaganda Project*, (2018). 4. Dunlap, R.R. and McCright, A.M. Organized climate change denial. In J.S. Dryzek, R.B. Norgaard and D. Schlosberg, eds., *The Oxford handbook of climate change and society*. Oxford University Press, 2011. 5. George, J.F., Gupta, M., Giordano, G., Mills, A.M., Tennant, V.M., and Lewis, C.C. The effects of communication media and culture on deception detection accuracy. *MIS Quarterly*, *42*, 2 (February 2018), 551-575. 6. Humprecht, E. Where "fake news" flourishes: a comparison across four Western democracies. *Information, Communication & Society*, (May 2018), 1-16. 7. Kim, A. and Dennis, A.R. Says who? The effects of presentation format and source rating on fake news in social media. *MIS Quarterly*, *43*, 3 (September 2019). 8. Knight, E. and Tsoukas, H. When fiction trumps truth: What "post-truth" and "alternative facts" mean for management studies. *Organization Studies*, *40*, 2 (February 2019), 183-197. 9. Kuem, J., Ray, S., Siponen, M., and Kim, S.S. What leads to prosocial behaviors on social networking services: A tripartite model. *Journal of Management Information Systems*, *34*, 1 (January 2017), 40-70. 10. Kumar, N., Venugopal, D., Qiu, L., and Kumar, S. Detecting review manipulation on online platforms with hierarchical supervised learning. *Journal of Management Information Systems*, *35*, 1 (January 2018), 350-380. 11. Kwon, H.E., Oh, W., and Kim, T. Platform structures, homing preferences, and homophilous propensities in online social networks. *Journal of Management Information Systems*, *34*, 3 (July 2017), 768-802. 12. Lazer, D.M.J., Baum, M.A., Benkler, Y., et al. The science of fake news. *Science*, *359*, 6380 (March 2018), 1094-1096. 13. Lyon, T.P. and Montgomery, A.W. The means and end of greenwash. *Organization & Environment*, *28*, 2 (June 2015), 223-249. 14. Mathew, I. Most Americans say they have lost trust in the media. *Columbia Journalism Review*, 2018. https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cjr.o…p;reserved=0. 15. Moravec, P., Kim, A., and Dennis, A.R. Behind the stars: The effects of news source ratings on fake news in social media. *Journal of Management Information Systems*, (in press). 16. Moravec, P., Kim, A., and Dennis, A.R. Flagging fake news: System 1 vs. System 2. In *ICIS 2018 Proceedings*. Association for Information Systems, San Francisco, CA, US, 2018. 17. Moravec, P., Minas, R.A., and Dennis, A.R. Fake news on social media: People believe what they want to believe when it makes no sense at all. *MIS Quarterly*, (in press). 18. Murphy, M. Study: Fake news hits the workplace. *Leadership IQ*, 2017. https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.leade… 19. Murungi, D., Puaro, S., and Yates, D.J. Beyond facts: A new spin on fake news in the age of social media. In *AMCIS 2018 Proceedings*. Association for Information Systems, New Orleans, LA, US, 2018. 20. Pan, Z., Lu, Y., Wang, B., and Chau, P.Y.K. Who do you think you are? Common and differential effects of social self-identity on social media usage. *Journal of Management Information Systems*, *34*, 1 (January 2017), 71-101. 21. Subramanian, S. Inside the Macedonian fake-news complex. *Wired*, 2017. https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.wired…p;reserved=0. 22. Venkatraman, S., M. K. Cheung, C., Lee, Z.W.Y., D. Davis, F., and Venkatesh, V. The "Darth" side of technology use: An inductively derived typology of cyberdeviance. *Journal of Management Information Systems*, *35*, 4 (October 2018), 1060-1091. 23. Vosoughi, S., Roy, D., and Aral, S. The spread of true and false news online. *Science*, *359*, 6380 (March 2018), 1146-1151. ~~~~~~~~~~~~~~~~~~~~~~~~~~ DG ---------------------------------------------------------------------------- Dennis F. Galletta Professor of Business Administration University of Pittsburgh Director, Katz Doctoral Program 282a Mervis Hall AIS LEO and Fellow Phone +1 412-648-1699 Katz Graduate School of Business Fax +1 412-624-3633 Pittsburgh, PA 15260 E-mail: galletta @ pitt.edu homepage: www.pitt.edu/~galletta<https://na01.safelinks.protection.outlook.com/?url=http:%2F%2Fwww.pitt.edu%…> ---------------------------------------------------------------------------- _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 2ND CALL FOR BOOK CHAPTERS: BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications
by Gustaf Neumann 12 Mar '20

12 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] 2ND CALL FOR BOOK CHAPTERS: BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications Date: Thu, 12 Mar 2020 12:11:31 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications EDITED BY PROF. DR. ZHAOHAO SUN TO BE PUBLISHED BY IGI Global, USA https://www.igi-global.com/publish/call-for-papers/call-details/4539 or http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=96711 or https://www.researchgate.net/project/Intelligent-Analytics-with-Applications Introduction Intelligent analytics is an emerging scientific paradigm that integrates big data/information/knowledge/wisdom, analytics and artificial intelligence (AI) to provide smart services to our work, business, life, industry and society. From a fundamental perspective, intelligent analytics at least includes intelligent big data analytics, intelligent big information analytics, intelligent big knowledge analytics, intelligent big wisdom analytics. Intelligent analytics has been revolutionizing our work, life, business, management, organization and industry. It becomes disruptive technology for healthcare, web services, service computing, cloud computing, 5G development, blockchain and social networking computing. However, many fundamental, technological and managerial issues in developing and applying intelligent analytics with multi-industry applications remain open. For example, what is the foundation of intelligent analytics? what are the elements of intelligent analytics? What are the real big characteristics of intelligent analytics? How can apply intelligent analytics to improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation and industries? What is the effect of intelligent analytics on business, management, the Internet of things, cloud computing, blockchain, service and society? This book will address these issues by exploring the cutting-edge theory, technologies and methodologies of intelligent analytics with multi-industry applications and emphasize integration of AI, business intelligence, big data/information/knowledge/wisdom, and analytics from a perspective of computing, service and management. This book also provides applications of the proposed theory, technologies and methodologies of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud and service) commerce and services, healthcare, the Internet of things, sharing economy, cloud computing, blockchain, and Industry 4.0 in the real world. This book titled “Intelligent Analytics with Multi-industry Applications” is the first book to reveal the cutting-edge theory, technologies, methodologies of intelligent analytics with applications. This is also the first book demonstrating that intelligent analytics is an important enabler for developing cloud computing, 5G, blockchains, digital transformation, business, management, governance and services in multi-industry applications. The proposed approaches will facilitate research, development and applications of intelligent analytics, big data/information/knowledge/wisdom analytics, data science, digital transformation, e-business and web service, service computing, cloud computing and social computing. Aims, Scope and Target Audience This book’s primary aim is to convey the foundations, technologies, thoughts, and methods of intelligent analytics with multi-industry applications to scientists, engineers, educators and university students, business, service and management professionals, policy makers and decision makers and others who have interest in big data, big information, big knowledge and big intelligence and wisdom, intelligent analytics, AI, cloud computing, the Internet of things (IoT), digital transformation, SMACS intelligence and computing, commerce and service as well as data science, information science, and knowledge science. Primary audiences for this book are undergraduate, postgraduate students and variety of professionals in the fields of big data, data science, information science and technology, knowledge technology and engineering, intelligence science, analytics, AI, computing, commerce, business, services, management and government. The variety of readers in the fields of government, consulting, marketing, business and trade as well as the readers from all the social strata can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies and applications of intelligent analytics with applications. Papers as book chapters of all theoretical and technological approaches, and applications of intelligent analytics are welcome. Submissions that cross multiple disciplines such as management, service, business, artificial intelligence, intelligent systems, data science, optimization, statistics, information systems, decision sciences, and industries to develop theory and provide technologies and applications that could move theory and practice forward in intelligent analytics, are especially encouraged. Topics Topics of contributions to this book include four parts: foundations, technologies, applications and emerging technologies and applications of intelligent analytics as follows. Part I. Foundations of intelligent analytics Topics: fundamental concepts, models/architectures, frameworks/schemes or foundations for developing, operating, evaluating, managing intelligent analytics. The following topics might also include, but not limited to. • Intelligent analytics as a Science and Technology (IAaaST) • Big Data science • Big Data intelligence • Intelligent Analytics for big data, information, knowledge, intelligence and wisdom • Intelligent analytics in business ecosystems • Decision science for intelligent analytics • Computing and foundations of intelligent analytics • New computational models for Big Data • Mathematical fundamentals of intelligent Big Data analytics • Fuzzy logic approach to intelligent analytics • Graph theory for intelligent analytics • ICT fundamentals for analytics • Intelligent visualization techniques for analytics • Statistical modelling for intelligent analytics • Machine learning for intelligent analytics • Optimization techniques for intelligent analytics • Data mining for intelligent analytics • Business models for intelligent analytics • Real-time algorithms for intelligent analytics • Computing thinking for intelligent analytics Part II. Technologies for intelligent analytics Topics: Technologies for developing intelligent analytics might also include the following topics, but not limited to. * Intelligent Analytics as a System (IAaaSy) * Intelligent Analytics as a Service (IAaaSe) * Intelligent Analytics as a Management (IAaaM) * Intelligent Analytics as a Business (IAaaB) * Rule-based systems, * Machine learning, * Multi-agent systems, * Neural networks systems, * Fuzzy logic, * Cased-based reasoning, * Genetic algorithms, * Data mining algorithms, * Intelligent agents, * Intelligent user interfaces * Web technologies, * Intelligent big data/information/knowledge technologies, * Intelligent service technologies, * Social networking technologies, * Intelligent decision technologies, * Intelligent management technologies and business technologies. * Machine-to-machine communication Part III. Multi-industry Applications of intelligent analytics Topics: cases for using foundations and technologies in Part I, II in multi-industry applications and various domains such as digital transformation, blockchain, 5G, SMACS computing, commerce and services, financial services, legal services, healthcare services, educational services, and military services taking into account intelligent diagnostic, descriptive, predictive and prescriptive analytics. The following topics might also include, but not limited to. * Intelligent Analytics as an application * Intelligent analytics with applications * Intelligent analytics-based innovation and entrepreneurship * Intelligent analytics in business ecosystems * Intelligent analytics with public and open data * Intelligent analytics and markets * Intelligent analytics for e-commerce * Intelligent analytics for cloud computing * Intelligent analytics for IoT * Intelligent analytics for blockchain * Intelligent analytics for 5G applications * Intelligent analytics in business decision making * Intelligent analytics in healthcare * Marketing Analytics * Intelligent analytics in banking industry * Intelligent analytics in social networking services * Intelligent analytics for Big Data, information, knowledge and intelligence * Cybersecurity and privacy issues in Intelligent analytics. * Intelligent analytics for management * Intelligent analytics for risk management * Organization analytics Part IV. Emerging technologies and applications for intelligent analytics Topics: Emerging technologies, methodologies, and applications for intelligent analytics. The following topics might also include, but not limited to * Emergent AI-based technologies * Emergent intelligent analytics technologies * Challenges for intelligent big data analytics * Challenges for intelligent big information analytics * Challenges for intelligent big knowledge analytics * Challenges for intelligent analytics research * Challenges for intelligent analytics applications * Challenges for intelligent analytics tools Submission Procedure Please submit a brief summary (abstract) consisting of title and round 150-200 words for the proposed chapter clearly identifying the main objectives of your contribution online by clicking “propose a chapter” at https://www.igi-global.com/publish/call-for-papers/call-details/4539 or to the editor at zhaohao.sun(a)gmail.com by March 30, 2020. Authors of the accepted proposals will be notified and provided with detailed guidelines. Full chapters are to be submitted by May 30, 2020. Submission Format and Evaluation This book will be developed using the eEditorial Discovery™ online submission manager. Therefore, all manuscripts of book chapter must be submitted online using https://www.igi-global.com/submission/submit-chapter/?projectid=8480e8ad-d6… Every book chapter submission should consist of 8,000-12,000 words, and be structured into sections including Abstract, Introduction, background (or related work), main sections, future research directions, conclusion, references. Every book chapter must be submitted in Microsoft® Word, and be typewritten in English in APA style based on “manage source” and “insert citation” function. Every book chapter submission is original. Only ORIGINAL articles will be accepted for publication by IGI-Global. Upon acceptance of your article, you will be required to sign a warranty that your article is original and has NOT been submitted for publication or published elsewhere. All chapter submissions undergo a double-blind peer-review using the eEditorial Discovery™ online submission manager. Conditioned chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among: accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines. Important Dates * March 30, 2020: Proposal Submission Deadline * April 10, 2020: Notification of Acceptance * May 10, 2020: Full Chapter Submission * July 8, 2020: Review Results Returned * August 19, 2020: Final Acceptance Notification * September 2, 2020: Final Chapter Submission. * September – November 2020: estimated publishing period. Editor Information Prof. Dr. Zhaohao Sun, Ph.D. Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Morobe, PNG & Federation University Australia zhaohao.sun(a)gmail.com; z.sun(a)federation.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] [CfP] ESWC 2020 - **Submission deadline extended** for Industry and Posters & Demos Tracks
by Gustaf Neumann 11 Mar '20

11 Mar '20

-------- Forwarded Message -------- Subject: [WI] [CfP] ESWC 2020 - **Submission deadline extended** for Industry and Posters & Demos Tracks Date: Wed, 11 Mar 2020 15:23:51 +0000 From: Valentina Ivanova <valentina.ivanova(a)ri.se> Reply-To: Valentina Ivanova <valentina.ivanova(a)ri.se> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu>, dbpedia-discussion(a)lists.sourceforge.net <dbpedia-discussion(a)lists.sourceforge.net>, wikidata(a)lists.wikimedia.org <wikidata(a)lists.wikimedia.org> * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * The 17th European Semantic Web Conference (ESWC 2020) May 31st - June 4th, 2020, Heraklion, Crete, Greece. ESWC is a premier venue for discussing the latest scientific results and innovations in the field of semantic technologies on the Web and Linked Data, attracting a high number of participants from academia and industry alike. Follow us: Web Page: https://2020.eswc-conferences.org/ Twitter: @eswc_conf Facebook: https://www.facebook.com/ESWCCONF LinkedIn: https://www.linkedin.com/groups/8843932/ Become part of ESWC 2020 by submitting to the following tracks & activities! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * In this announcement: ******************************************* 1. Call for Papers - Posters & Demos https://2020.eswc-conferences.org/call-for-posters-and-demos/ * Submission deadline: March 19, 2020 (**Extended**) 2. Call for Papers - Industry Track https://2020.eswc-conferences.org/call-for-papers-industry-track/ * Submission deadline: March 19, 2020 (**Extended**) (All deadlines are 23:59 anywhere on earth (UTC-12)) * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 1. Call for Papers - Posters & Demos ******************************************* The posters and demos track of ESWC, https://2020.eswc-conferences.org/, provides a forum for late-breaking results, on-going research projects, and innovative ideas, as well as prototypes of semantic technologies and their applications in various domains. Submissions to the posters and demos track may cover all areas of Semantic Web research and applications, such as Linked Data and Knowledge Graphs, Ontologies, Reasoning, Natural Language Processing and Understanding, Machine and Deep Learning, Information Retrieval, Data Quality and Data Integration, and Semantic Data Management, as well as applications from Life Sciences, eGovernment, Business, Manufacturing, eScience, Emergency and Crisis Management, Cultural Heritage, Tourism, Autonomous Systems, etc. Posters and demos will be presented in a separate, interactive session, providing the opportunity for engaging in discussions and direct exchange. Further info: https://2020.eswc-conferences.org/call-for-posters-and-demos/ == Important Dates == Submission Deadline: March 19, 2020 (**Extended**) Notification of Acceptance: April 9, 2020 Camera-Ready Paper: April 30, 2020 == Posters & Demos Chairs == Valentina Presutti, University of Bologna valentina.presutti(a)unibo.it Raphaël Troncy, EURECOM raphael.troncy(a)eurecom.fr 2. Call for Papers - Industry Track ******************************************* The industry track seeks to present the state of adoption of semantic technologies in industrial applications, and intends to facilitate a discussion about what current industry challenges can be addressed with semantic technologies. These technologies may be used in specific industries (e.g., media, financials, telecommunications, healthcare, life sciences, government, intelligence, public sector, industrial production etc.) and in different application areas (e.g., business intelligence, smart cities, digital twin, analytics, search, content management, knowledge management, recommendation systems, data integration, automotive etc.). The industry track aims to facilitate the exchange between Semantic Web researchers and industrial solution developers to bridge between state-of-the-art research and its application in industrial scenarios. We welcome contributions about: * Success stories of adoption of semantic technologies and knowledge graphs in real-world environments, especially by emphasizing how these technologies have succeeded in creating value as well as key factors for the success of the adoption in a large-scale organization. * Experiences about challenges that are encountered in an industry setting when adopting a solution based on semantic technologies. * Contributions about current challenges in industrial fields which should be tackled by semantic technologies, emphasizing solution approaches and existing issues that are currently only insufficiently addressed by Semantic Web research. Topics of interest include, but are not limited to, the following: * Development and application of semantic technologies and knowledge graphs for specific industries (automotive, financial, healthcare and life sciences, energy industry, industry 4.0, public sector etc.) * Real-world applications of semantic technologies for enabling FAIR (meta) data * Approaches to bridge between domain experts and semantic technology experts * Successful application domains: Knowledge management, data integration, data sharing, search, Business Intelligence, data analytics, open data, enterprise data management etc. * Industrial trends related to the usage of Linked Data, Open Data and Semantic Web technologies * Financial and strategic investments in semantic technologies * Machine Learning approaches in connection with the Semantic Web (e.g. ML for knowledge graph completion or ontology matching, learning of knowledge graph and entity embeddings, question answering, etc) Further info: https://2020.eswc-conferences.org/call-for-papers-industry-track/ == Important Dates == Paper submission: March 19, 2020 (**Extended**) Notification to authors: April 16, 2020 (**Extended**) Camera ready papers due: April 30, 2020 == Industry Track Chairs == Javier D. Fernández, F. Hoffmann-La Roche AG jfernand(a)wu.ac.at Josiane Xavier Parreira, Siemens AG Austria josiane.parreira(a)siemens.com Looking forward to your submissions! The ESWC 2020 Organising Team https://2020.eswc-conferences.org/organising-committee/ -- 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] HICSS 2021 [CFP] Explainable Artificial Intelligence (XAI) mini track
by Gustaf Neumann 11 Mar '20

11 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] HICSS 2021 [CFP] Explainable Artificial Intelligence (XAI) mini track Date: Thu, 12 Mar 2020 08:23:19 +1100 From: Babak Abedin <babak.abedin(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear Colleagues, Please consider submitting to HICSS 2021: Explainable Artificial Intelligence (XAI) mini track ( https://hicss.hawaii.edu/tracks-54/decision-analytics-and-service-science/#… ). Fast track journal opportunity at *Information Systems Frontiers * *Description*: The use of Artificial Intelligence (AI) in the context of decision analytics and service science has received significant attention in academia and practice alike. Yet, much of the current efforts have focused on advancing underlying algorithms and not on decreasing the complexity of AI systems. AI systems are still “black boxes” that are difficult to comprehend—not only for developers, but particularly for users and decision-makers. Also, the development and use of AI is associated with many risks and pitfalls like biases in data or predictions based on spurious correlations (“Clever Hans” phenomena), which eventually may lead to malfunctioning or biased AI and hence technologically driven discrimination. This is where research on Explainable Artificial Intelligence (XAI) comes in. Also referred to as “transparent,” “interpretable,” or “understandable AI,” XAI aims to “produce explainable models, while maintaining a high level of learning performance (prediction accuracy); and enable human users to understand, appropriately, trust, and effectively manage the emerging generation of artificially intelligent partners”. XAI hence refers to “the movement, initiatives, and efforts made in response to AI transparency and trust concerns, more than to a formal technical concept”, eventually impacting task performance of users. With a focus on decision support, this minitrack aims to explore and extend research on how to establish explainability of intelligent black box systems—machine learning-based or not. We especially look for contributions that investigate XAI from either a developer’s or user’s perspective. We invite submissions from all application domains, such as healthcare, finance, e-commerce, retail, public administration or others. Technically and method-oriented studies as well as design science or behavioral science approaches are welcome. *Topics of interest include, but are not limited to:* - *The developers’ perspective on XAI* - XAI to open, control and evaluate black box algorithms - Using XAI to identify bias in data - Explainability and Human-in-the-Loop development of AI - XAI to support interactive machine learning - Prevention and detection of deceptive AI explanations - XAI to discover deep knowledge and learn from AI - *The users’ perspective on XAI* - Presentation and personalization of AI explanations for different target groups - XAI to increase situational awareness, compliance behavior and task performance - XAI for transparency and unbiased decision making - Impact of explainability on AI-based decision support systems use and adoption - Explainability of AI in crisis situations - Potential harm of explainability in AI We provide the opportunity for (extended) best papers of this minitrack to be fast-tracked to the Information Systems Frontiers (ISF) journal. Important Dates for Paper Submission June 15, 2020: Paper Submission Deadline (11:59 pm HST) August 17, 2020: Notification of Acceptance/Rejection Minitrack Co-Chairs: Christian Meske (Primary Contact) Freie Universität Berlin and Einstein Center Digital Future christian.meske(a)fu-berlin.de Babak Abedin University of Technology Sydney Babak.Abedin(a)uts.edu.au Iris Junglas College of Charleston junglasia(a)cofc.edu Fethi Rabhi University of New South Wales f.rabhi(a)unsw.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CfP: ECSCW 2020 Workshop: Learning for life: Designing for sustainability of tech-learning networks of older adults
by Gustaf Neumann 11 Mar '20

11 Mar '20

-------- Forwarded Message -------- Subject: [WI] CfP: ECSCW 2020 Workshop: Learning for life: Designing for sustainability of tech-learning networks of older adults Date: Wed, 11 Mar 2020 17:16:26 +0000 From: Dickel, Martin <martin.dickel(a)uni-siegen.de> Reply-To: Dickel, Martin <martin.dickel(a)uni-siegen.de> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> --apologies for cross-posting-- /Call for proposals/** ** *Learning for life: Designing for sustainability of tech-learning networks of older adults* /A workshop at ECSCW 2020, June 14, in Siegen, Germany./ http://bit.ly/39a2RP9 *Scope* In today's complex society we need to learn on a daily basis during our whole life, especially when it comes to new digital tools on which our lives are increasingly more dependent. However, the way digital tools are designed is not well adjusted to learning how to use these tools in the later part of life. As a result, many older adults struggle with the integration of digital tools into their daily lives. Recently, older adults started to be involved in design through sustainable participatory approaches. However, this group is very heterogeneous and characterised by varied needs that have to be addressed with a fitting approach that is currently missing in E/CSCW and participatory design. In this workshop we therefore want to bring together researchers from different disciplines to develop new approaches that will help us to design for sustainable tech-learning networks of older adults. *Important dates* *• 3rd April 2020: Submission of position papers;* • 20th April 2020: Notification of acceptance; • 4th May 2020: Camera-ready • 14th June 2020 ECSCW in Siegen ** *Submissions* The maximum length of a position paper is 2,000 words. The papers should follow the CSCW formatting guidelines <https://www.springer.com/journal/10606/submission-guidelines>. Submissions and inquiries should be sent to the following email address: katerina.cerna(a)uni-siegen.de With regard to the situation regarding the Covid-19 (Corona) virus, it is planned to set up possibilities for participation via video conference. For more information about the workshop and suggested topics visit the web page: http://bit.ly/39a2RP9 *Organizers* Katerina Cerna (University of Siegen) Martin Dickel (University of Siegen) Claudia Müller (University of Siegen, Careum University Health) Eija Kärnä (University of Eastern Finland) Vera Gallistl (University of Vienna) Franz Kolland (University of Vienna) Verena Reuter (TU Dortmund University) Gerhard Naegele (TU Dortmund University) Roberta Bevilacqua (Bologna University) Heidi Kaspar (Careum University Health) Ulrich Otto (Careum University Health) __________________________ Martin Dickel SFB 1187 Medien der Kooperation TP A05 Kooperative Herstellung von Nutzerautonomie im Kontext der alternden Gesellschaft Universität Siegen Herrengarten 3 57068 Siegen Raum: AH-223 E-Mail: martin.dickel(a)uni-siegen.de -- 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: [WI] CfP 2nd Workshop on the Value and Quality of Enterprise Modelling, (VEnMo 2020)
by Gustaf Neumann 09 Mar '20

09 Mar '20

-------- Forwarded Message -------- Subject: [WI] CfP 2nd Workshop on the Value and Quality of Enterprise Modelling, (VEnMo 2020) Date: Sun, 8 Mar 2020 09:55:59 +0000 From: Simon Hacks <shacks(a)kth.se> Reply-To: Simon Hacks <shacks(a)kth.se> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>, 'WI(a)lists.kit.edu' <WI(a)lists.kit.edu>, 'fg-arc(a)lists.uni-paderborn.de' <fg-arc(a)lists.uni-paderborn.de>, seworld(a)sigsoft.org <seworld(a)sigsoft.org> *********************************************************************** 2nd Workshop on the Value and Quality of Enterprise Modelling (VEnMo 2020) in conjunction with the 22nd IEEE International Conference on Business Informatics (CBI 2020) June 22-24, 2020 in Antwerp *********************************************************************** In computer science and information systems development, Enterprise Modelling (EM) is used for different purposes, like representing requirements, visualizing established work processes, specifying system design, expressing information structures, formalizing the relationships between organizational structures and IT landscapes and many more. Despite this large spectrum of modeling purposes and use cases, the value of modelling in general and of Enterprise Models in particular is still subject of research. The 2nd VEnMo Workshop invites researchers and practitioners with strong interest in the value of Enterprise Modelling to discuss approaches and experiences in measuring, assessing, evaluating, and improving the value of enterprise related models like Enterprise Models, Enterprise Architecture Models, or Business Process Models. While it is common sense that EM adds value to organizations, existing research is still vague regarding how this value manifests. Therefore, the workshop aims to shed light on existing as well as new theories, concepts and frameworks for describing, understanding and measuring the added value of EM. One important aspect in this context may be the quality of EM, as only models of an adequate quality with respect to their intended purpose allow organizations to exploit the full value of EM. Therefore, the workshop further encourages researchers or practitioners to report on insights or approaches how to assess the quality of enterprise models. However, we support a broad interpretation of the topics „value“ and „quality“ and encourage submissions also in related areas. **Topics** • interpretations or conceptualizations of the terms “value” and “quality” in the context of Enterprise related Models (EM, EA models, BPM, …) • new approaches to measure, assess, evaluate, or improve the value of enterprise related models • interrelations between model, method, and tool value • perceived value of models, methods, and tools • stakeholder perspectives on value and quality of EM • metrics, quantitative, and qualitative approaches to assess the quality of enterprise related models. • theories or best practices for maximizing modelling value • relationship between quality, quantity and value • management of value aspects in modelling • case studies and industrial experience reports on successful or failed application of approaches to assess the value or quality of enterprise related models. • tools, infrastructure and environments supporting the assessment of value or quality of enterprise related models. • empirical studies, evaluation and comparison of measurement techniques and models. • we support a broad interpretation of the topics „value“ and „quality“ and encourage submissions also in related areas. **Submissions** Two kinds of papers will be accepted: • Full papers with a page limit of 8 pages, • Short papers with a page limit of 5 pages. Papers should be written in English, following the IEEE double column format and should be submitted through the VEnMo easychair installation, accessible via https://easychair.org/conferences/?conf=venmo2020. The workshop proceedings will be published at CEUR-WS. **(Tentative) Key Dates** • Workshop papers submission deadline: April 27, 2020 • Workshop papers notification deadline: May 18, 2020 • Workshop camera-ready papers deadline: June 01, 2020 • Workshop VEnMo: June 22, 2020 **Web Site** More information and link to the submission site: http://www.venmo2020.informatik.uni-rostock.de/ **Program Committee** • Peter Fettke, DFKI and Saarland University • Janis Grabis, Riga Technical University • Agnes Koschmider, Karlsruhe Institute of Technology • Robert Lagerström, KTH • Birger Lantow, Rostock University • Michael Leyer, Rostock University • Monika Malinova, Vienna University of Economics and Business • Erik Proper, Luxembourg Institute for Science and Technology • Alixandre Santana, UFRPE • Rainer Schmidt, Munich University • Ulf Seigerroth, Jönköping University • Janis Stirna, Stockholm University • Margus Välja, Scania AB **Organization Committee** • Felix Timm*, University of Rostock • Simon Hacks*, KTH Royal Institute of Technology • Kurt Sandkuhl, University of Rostock • Michael Fellmann, University of Rostock *Co-Chairs

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