Cfp August 2020

cfp@alice.wu.ac.at

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Fwd: [AISWorld] "Creating value through digital innovation in health care" - Call for Papers
by Gustaf Neumann 14 Aug '20

14 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] "Creating value through digital innovation in health care" - Call for Papers Date: Fri, 14 Aug 2020 11:16:28 +0200 From: Lauri Wessel | University of Bremen <lauri.wessel(a)uni-bremen.de> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> +++ Apologies for cross-postings +++ 16th International Conference on Wirtschaftsinformatik March 9 - 11 2021 , University of Duisburg-Essen (Germany) Track: Creating value through digital innovation in health care New Deadline for Submissions: 28/08/2020 Track Chairs: Lauri Wessel, University of Bremen Hannes Rothe, Freie Universität Berlin Eivor Oborn, Warwick Business School Health care is undergoing significant changes in how value is being created and captured (Porter 2010; Porter and Olmsberg Teisberg 2006). At the core of this development lie various digital innovations as they occasion shifts in how the health care sector has been traditionally organized. From genomics over medical imagery to wearable devices – more and more data is available to feed innovation in health care services (Jarvenpaa and Markus 2018; Rothe et al. 2019; Vassilakopoulou et al. 2018). Greater processing power and new algorithms drive novel diagnostics, more precise therapeutics and they also enable patients and consumers to track and maintain their own wellbeing. This challenges existing practices, sinters boundaries between roles, and even relocates work from inside traditional healthcare providers into the private lives of patients and their relatives (Barrett et al. 2012, 2016; Dadgar and Joshi 2018; Wessel et al. 2019). A central theme that cuts across these developments is that the interest of policy makers and researchers increasingly turns to questions of value; that is how digital innovation changes how value is being created, maintained, or even destroyed in the abovementioned areas. This implies a wealth of new questions for IS research that is turning to these novel developments only recently. This track is broadly framed around the idea of generating value from digital innovation in the context of health. This broadness implies that we welcome all submissions with the potential to contribute to our understanding of the relationship between digital innovation and value creation in health care. We welcome design-oriented work, theory-oriented research, and conceptual papers. We are agnostic in terms of methodologies applied. Submissions may explore these topics but we are by no means limited to them: The role and management of biodata for digital innovation in health The role of traditional professionals roles, identities, and institutions for value creation in health Design of digital innovations for improving patients’ self-management of chronic conditions The role of data for promoting prevention that challenges a disease-based health care system Explorations of novel revenue models, operational models, and business models in the context of digital innovation in health care New reimbursement models based on data Comparisons between outcomes of data-driven strategies to improve health care delivery Design and evaluations of various AI-technologies for creating value Associate Editors: • Margunn Aanestad, University of Agder • Angela Aristidou, University College London • Aaron Baird, Georgia State University • Panos Constantinides, Alliance Manchester Business School • Elizabeth Davidson, Shidler College of Business, University of Hawaii at Manoa • Paul Drews Leuphana, Universität Lüneburg • Anna Essén, Stockholm School of Economics • Daniel Fürstenau, Freie Universität Berlin • Martin Gersch, Freie Universität Berlin • Tobias Kowatsch, Universität St. Gallen • Claudia Müller, Universität Siegen & Kalaidos University of Applied Sciences Switzerland • Roxana Ologeanu-Taddei, University of Montpellier • Christoph Peters, Universität St. Gallen • Hannes Schlieter, Technische Universität Dresden • Martin Sedlmayr, Technische Universität Dresden • Stefanie Steinhäuser, Universität Regensburg • Polyxeni Vassilakopoulou, University of Agder • Till Winkler, Copenhagen Business School ++++++++++++++++++++++++++++++++++++++++++++++++ Prof. Dr. Lauri Wessel Professor of Management and Organization Faculty 7: Business Studies and Economics, University of Bremen Enrique-Schmidt-Straße 1 (WIWI 1), Room A2340 28359 Bremen, Germany Tel.: 0049-421-218 66600 Email: lauri.wessel(a)uni-bremen.de Web: www.mo.uni-bremen.de Check out our latest publications: Wessel, L., Baiyere, A., Ologeanu-Taddei, R., Cha, J., Jensen, T. B. ”Unpacking the Difference between Digital Transformation and IT-enabled Organizational Transformation”. (forthcoming) Journal of the Association for Information Systems. https://www.researchgate.net/publication/339947001_Unpacking_the_Difference… Thomas, O., Hagen, S., Frank, U., Recker, J., Wessel, L., Kammler, F., Zarvic, N., and Timm, I. 2020. “Global Crises and the Role of BISE,” Business & Information Systems Engineering. https://doi.org/10.1007/s12599-020-00657-w Wessel, L., Davidson, E.; Barquet, A., Rothe, H., Peters, O., Megges, H. (2019) “Configuration in Smart ServiceSystems: A Practice-based Inquiry.” Information Systems Journal, 29(6), 1256-1281. https://doi.org/10.1111/isj.12268 Rothe, H., Wessel, L., Barquet, A. (forthcoming) “Accumulating Design Knowledge: A Mechanisms-based Approach”. Journal of the Association for Information Systems. https://www.researchgate.net/publication/333429644_Accumulating_Design_Know… Haack, P., Sieweke, J., Wessel, L. (Eds.) (2019) “Microfoundations of Institutions.“ Research in the Sociology of Organizations Volume 65A&65B (Double Volume), Emerald. https://books.emeraldinsight.com/page/detail/Microfoundations-of-Institutio… Haack, P., Sieweke, J., Wessel, L. (2019) “Microfoundations and Multi-Level Research on Institutions,” in: Research in the Sociology Organizations “Microfoundations of Institutions“, 65A, 11-40. https://www.researchgate.net/publication/334773190_Microfoundations_and_Mul… Ologeanu-Taddei, R., Wessel, L., Bourdon, I. 2019 “Persistent Paradoxes in Pluralistic Organizations: A Case Study of Continued Use of Shadow-IT in a French Hospital”. 40th International Conference on Information Systems. https://www.researchgate.net/publication/336044337_Persistent_Paradoxes_in_… _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CFP - ACM FAccT (formerly ACM FAT*)
by Gustaf Neumann 14 Aug '20

14 Aug '20

-------- Forwarded Message -------- Subject: [WI] CFP - ACM FAccT (formerly ACM FAT*) Date: Thu, 13 Aug 2020 20:30:07 +0100 From: Abeba Birhane <abeba.birhane(a)ucdconnect.ie> Reply-To: Abeba Birhane <abeba.birhane(a)ucdconnect.ie> To: wi(a)lists.kit.edu CC: Deborah Raji <deborahraji1(a)gmail.com> Dear all, Hope you are keeping safe and well. We are pleased to announce the Call for Papers for the 2021 ACM conference on _F_airness, _Acc_ountability, and _T_ransparency -- FAccT (formerly known as ACM FAT*) is now open. We welcome scholarship in dialogue with fairness, accountability, and transparency in computational systems, including critical approaches that investigate core assumptions and propose alternative designs, practices, and policies. This year’s conference will take place in the context of a worldwide reckoning with racism and other forms of injustice, in society generally and within the field of computing in particular. Such questions are not only a matter of personal and professional concern, but also a perennial focus of FAccT scholarship. *In this light, we especially welcome attention to insufficiently addressed issues in computing* such as: How do algorithmic systems develop in relation to racism and anti-blackness? How should the field address the problems and opportunities of intersectional perspectives on fairness? What kinds of marginalization are relevant to the concerns of ACM FAccT? How can perspectives and tools from gender/LGBTQ studies, postcolonial studies, indigenous studies, racial and ethnic studies, migration studies, work on disability and other relevant domains inform a broad perspective on how to frame and advance social justice in relation to design of computational systems? Submissions might include (but not limited to) the following areas: * *Algorithm Development*/e.g./ Fairness; Interpretable and explainable models; Data collection and curation * *Data and Algorithm Evaluation*/e.g./ Metrics; Audits; Evaluations * *Applications*/e.g./ NLP; Computer vision; Search engines; Recommender systems; Programming languages; Databases * *Human Factors*/e.g./ Human-computer interaction; Humans-in-the-loop; Information visualization; UX design; Community or participatory-research design * *Privacy and Security*/e.g./ Formal approaches; Privacy-preserving models; Usable privacy and security * *Law and Policy*/e.g./ Organizational governance; Data protection; Non-discrimination; Codes of ethics; Models from historically marginalized perspectives (/e.g./ Global Southern, feminist, communitarian, or Indigenous perspectives) * *Humanistic theory and critique*/e.g./ Interrogating foundational concepts; Bridging critical concepts across fields; Philosophical, moral and ethical analysis * *Social and organizational processes*/e.g./ Algorithms in organizations and institutions; Social, cultural, and historical shaping of algorithmic phenomena; algorithmic impacts on social phenomena * *Community-based approaches*/e.g./ Participatory algorithm design; Community designed and maintained systems; Activism-driven technological change * *Education*/e.g./ Pedagogical approaches, proposals, and experiences in areas of relevance to FAccT We welcome submissions on these topics from a broad set of expertise from a wide variety of disciplines, including computer science, statistics, the humanities, and law. More details can be found here: https://facctconference.org/2021/cfp.html Paper pre-registration: 30 September 2020 Paper submission: 7 October 2020 Notifications: 11 December 2020 Conference: early March 2021 All deadlines are at 11:59 PM anywhere on earth (AoE) on the given date. Questions? Contact the Program Co-chairs: program-chairs(a)facctconference.org <mailto:program-chairs@facctconference.org>. And stay tuned for updates by following @facctconference on Twitter. Please forward this call to other people or groups you think may be interested. Best wishes, Abeba -- Cognitive Science Ph.D. candidate Complex Software Lab, Lero - The Irish Software Research Centre School of Computer Science and Informatics University College Dublin, Ireland https://abebabirhane.wordpress.com/ t: @Abebab (she/her) -- 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] CFP: SIG Adoption & Diffusion of IT - Pre-ICIS DIGIT 2020 Virtual Workshop
by Gustaf Neumann 13 Aug '20

13 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP: SIG Adoption & Diffusion of IT - Pre-ICIS DIGIT 2020 Virtual Workshop Date: Thu, 13 Aug 2020 20:03:10 +1200 From: Jean-Grégoire Bernard <jg.bernard(a)gmail.com> To: aisworld(a)lists.aisnet.org *CFP: DIGIT 2020 - Sunday, December 13, 2020* *IS Innovation Adoption, Use, and Diffusion in a World of Disruptions* *Submissions Due: Monday, September 14, 2020* The Special Interest Group on the Adoption and Diffusion of Information Technology (SIG ADIT) is over 30 years old and will again host a pre-ICIS workshop for people interested in information technology adoption and diffusion (DIGIT). DIGIT will be held on Sunday December 13, 2020 as a virtual workshop. For decades, IS research on adoption and diffusion has tracked and explained how individuals and organizations use technology. This has been a steady evolution from considering mandatory use contexts of IT within organizations (e.g., PC, ERP systems), to focusing on individual decisions to adopt and use technology in volitional contexts, to unpacking the complex situation of advice giving or recommender systems (Benbasat 2018). Yet, the beginning of 2020 has unveiled a new host of disruptions, including a global pandemic and powerful civil rights protests and political movements. These phenomena are still unfolding but IS is at the heart of many of our solutions to cope with these disruptions. Now, individuals, organizations, and whole ecosystems have been forced to innovatively use technology - from virtual meetings replacing in-person gatherings, to the rapid digitization of processes, to using smart devices to track individuals for contact tracing and disease prevention initiatives. These situations are ripe with individuals, organizations, and society using information technology in novel ways, and our understanding of them will likely benefit from the theoretical lenses used in adoption and diffusion research. Like any extreme case, we believe there is a unique and expansive opportunity to discover important insights about IS innovation, adoption, use, and diffusion that may contribute back to our core body of knowledge. For example, the disruptions of the global pandemic have put pressures on the adoption, use, and diffusion of IS innovation different than we have seen before. It is a global phenomenon, affecting the wide breath of economies, politics, cultures, healthcare systems, etc., around the world, at nearly the same time. The activities of each industry, organization, and individual has likely been touched in complex and interesting ways, as new practices are adopted. Further, many of these practices had to be embraced nearly overnight as sweeping stay-at-home or shelter-in-place orders were put into place. This has no doubt shifted the power between constituents (Markus 1983), generated new digital divides (Bussewitz & Olson, 2020; Ramsetty & Adams, 2020; Stewart, 2020), triggered nearly immediate changes in the utilization and benefits of IS investments (Gal et al. 2008; Yoo et al. 2010), and highlighted the importance of combined, real-time data sets in times of uncertainty (Brynjolfsson et al. 2016), as well as a plethora of other consequences to uncover. The 2020 DIGIT workshop provides an opportunity for IS innovation researchers to come together and generate vibrant discussions and exchanges of ideas about disruptions and their impact in innovation, adoption, use, and diffusion of IS. While papers adhering to the disruption theme are encouraged, research in other IT adoption and diffusion research domains will also be considered. Potential topic areas include, but are not exclusive to: - Individual and collective IS innovation behavior, such as adaptation, coping, improvisation, and resilience, in the presence of disruptions - Multi-level studies considering the rippling effects of disruptions and their implications for IS adoption and diffusion - Process models studying adoption, diffusion, and abandonment before and after a disruption - New theorization of how disruptions matter in IS innovation theories at the individual, organizational, interorganizational, and society levels - New qualitative, quantitative, and design-led methodological approaches to examine the dynamics of IS innovation and adoption, including the use of big trace datasets - IS innovation adoption, diffusion, and abandonment in the presence of various forms of societal events or social influence Submitted research can be conceptual, analytical, design-oriented, or empirical in nature. The workshop will include paper presentations, paper roundtables and panel discussions. Please note, that due to the virtual format, we will not have a poster presentation option this year. *Instructions for Contributors* In the interest of discussing the most current research in this area, we welcome - Full research papers (fourteen single-spaced pages) - Research-in-progress papers (seven single-spaced pages) All submissions will be blind reviewed. Papers should not have been published previously in proceedings or journals, nor be under review elsewhere, but it is the general objective of the workshop that they will be submitted to a premier outlet after the DIGIT workshop. Proceedings of the workshop will be published in the AIS Electronic Library. The authors can choose whether they want the full paper or only an extended abstract to be published. For past proceedings see: http://aisel.aisnet.org/digit/ *Instructions for Submissions*The deadline for submission of papers is Monday, September 14, 2020. Notification of acceptance or rejection will be made in late-October. All papers must conform to the instructions given in the DIGIT 2020 submission template. They must be single-spaced and submitted in Microsoft Word format. Papers, both full research and research-in-progress submissions, should include an abstract. Page counts exclude the title page, references and appendices. The title page should include the paper title and the authors' names, affiliations, and e-mail addresses. The main body of the paper should have a title, but no author identification. Please use the DIGIT 2020 submission template, which can be found online at: https://drive.google.com/file/d/1JxlwW_22ia7Bg1Za3dS8YPcrVxbbkpn2/view?usp=… All paper submissions should be submitted using the submission system at https://cmt3.research.microsoft.com/DIGIT2020 Questions regarding paper submissions can be sent to the program co-chairs: Jean-Grégoire Bernard (jean-gregoire.bernard(a)vuw.ac.nz) or Jennifer Claggett (claggejl(a)wfu.edu) *Instructions for Participation*The workshop date will be held on Sunday, December 13, 2020 as a virtual event. At least one author must register and attend the workshop to present the paper if the work is accepted. A minimal workshop fee will be charged to employed academics ($20 USD) to cover operating costs. Registration is free of charge for postgraduate students. *Workshop Committee* For information on SIGADIT and the DIGIT workshop, see https://www.sigadit.net/digit or please contact the 2020 workshop committee: Jean-Grégoire Bernard 2020 DIGIT Program Co-Chair jean-gregoire.bernard(a)vuw.ac.nz Wellington School of Business & Government Victoria University of Wellington Wellington, New Zealand Jennifer Claggett 2020 DIGIT Program Co-Chair claggejl(a)wfu.edu School of Business Wake Forest University Winston-Salem, NC, USA Christian Maier 2020 DIGIT Workshop Chair christian.maier(a)uni-bamberg.de Department of Information Systems and Services University of Bamberg Bamberg, Germany Christy M. K. Cheung 2020 SIGADIT Chair ccheung(a)hkbu.edu.hk School of Business Hong Kong Baptist University Kowloon Tong, Hong Kong *References* Benbasat, I. 2018. Who’s the Boss? From History to the Future of Implementation, Adoption, Diffusion Research in IS/IT Focusing on Individuals, Keynote Presentation presented at the DIGIT, San Francisco, CA, December 2018. Brynjolfsson, E., Geva, T., and Reichman, S. 2016. “Crowd-Squared: Amplifying the Predictive Power of Search Trend Data,” MIS Quarterly (40:4), pp. 941-+. Bussewitz, C., and Olson, A. 2020. “Gig Workers Face Shifting Roles, Competition in Pandemic,” Associated Press, July 5. ( https://apnews.com/ebc223c6d783c49feca6ffb27af6264b, accessed July 16, 2020) Gal, U., Lyytinen, K., and Yoo, Y. 2008. “The Dynamics of IT Boundary Objects, Information Infrastructures, and Organisational Identities: The Introduction of 3D Modelling Technologies into the Architecture, Engineering, and Construction Industry,” European Journal of Information Systems (17:3), pp. 290–304. Markus, M. L. 1983. “Power, Politics, and MIS Implementations,” Communications of the ACM (26:6). Ramsetty, A., and Adams, C. 2020. “Impact of the Digital Divide in the Age of COVID-19,” Journal of the American Medical Informatics Association (in press, ocaa078). Stewart, E. 2020. “The Pandemic Job Divide: Those Who Can Stay Safe at Home, and Those Who Can’t,” Vox.com, June 12. ( https://www.vox.com/covid-19-coronavirus-economy-recession-stock-market/202…, accessed July 16, 2020) Yoo, Y., Henfridsson, O., and Lyytinen, K. 2010. “Research Commentary—The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research,” Information Systems Research (21:4), pp. 724–735. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] DeepLearn 2021 Winter: early registration August 21
by Gustaf Neumann 12 Aug '20

12 Aug '20

-------- Forwarded Message -------- Subject: [WI] DeepLearn 2021 Winter: early registration August 21 Date: Tue, 11 Aug 2020 20:05:49 +0200 From: IRDTA <irdta(a)irdta.eu> Reply-To: IRDTA <irdta(a)irdta.eu> To: wi(a)lists.kit.edu DeepLearn 2021 Winter: early registration August 21 *To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ****************************************************************** *4^th INTERNATIONAL SCHOOL ON DEEP LEARNING* *DeepLearn 20**21 Winter* *Milan, Italy* *January 11-15, 2021* Co-organized by: Department of Information Engineering Marche Polytechnic University Institute for Research Development, Training and Advice – IRDTA Brussels/London https://irdta.eu/deeplearn2021w/ ****************************************************************** --- Early registration deadline: August 21, 2020 --- *********************************************** In conjunction with ICPR 2020 https://www.micc.unifi.it/icpr2020/ *SCOPE:* DeepLearn 2021 Winter will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova and Warsaw. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. *ADDRESSED TO:* Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2021 Winter is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. *VENUE:* DeepLearn 2021 Winter will take place in Milan, the third largest economy among European cities and one of the Four Motors for Europe. The venue will be: MiCo Milano Convention Centre Piazzale Carlo Magno 1 Milan https://www.micomilano.it/it/ The venue will be shared with the 25th International Conference on Pattern Recognition – ICPR 2020 https://www.micc.unifi.it/icpr2020/ *STRUCTURE:* 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. *KEYNOTE SPEAKERS:* Nello Cristianini (University of Bristol), Data, Intelligence and Shortcuts Petia Radeva (University of Barcelona), Uncertainty Modeling and Deep Learning in Food Analysis Indrė Žliobaitė (University of Helsinki), Any Hope for Deep Learning in Deep Time? *PROFESSORS AND COURSES:* Ignacio Arganda-Carreras (University of the Basque Country), [introductory/intermediate] Deep Learning for Bioimage Analysis Mikhail Belkin (Ohio State University), [intermediate/advanced] Understanding Deep Learning through the Lens of Over-parameterization Thomas G. Dietterich (Oregon State University), [introductory] Machine Learning Methods for Robust Artificial Intelligence Georgios Giannakis (University of Minnesota), [advanced] Ensembles for Interactive and Deep Learning Machines with Scalability, Expressivity, and Adaptivity Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-end Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Çağlar Gülçehre (DeepMind), [intermediate/advanced] Deep Reinforcement Learning Balázs Kégl (Huawei Technologies), [introductory] Deep Model-based Reinforcement Learning Ludmila Kuncheva (Bangor University), [intermediate] Classifier Ensembles in the Era of Deep Learning Vincent Lepetit (ENPC ParisTech), [intermediate] Deep Learning and 3D Geometry Geert Leus (Delft University of Technology), [introductory/intermediate] Graph Signal Processing: Introduction and Connections to Distributed Optimization and Deep Learning Andy Liaw (Merck Research Labs), [introductory] Deep Learning and Statistics: Better Together Debora Marks (Harvard Medical School), [intermediate] Protein Design Using Deep Learning Abdelrahman Mohamed (Facebook AI Research), [introductory/advanced] Recent Advances in Automatic Speech Recognition Sayan Mukherjee (Duke University), [introductory/intermediate] Integrating Deep Learning with Statistical Modeling Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks Lyle John Palmer (University of Adelaide), [introductory/advanced] Epidemiology for Machine Learning Investigators Razvan Pascanu (DeepMind), [intermediate/advanced] Understanding Learning Dynamics in Deep Learning and Deep Reinforcement Learning Jan Peters (Technical University of Darmstadt), [intermediate] Robot Learning José C. Príncipe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video Björn W. Schuller (Imperial College London), [introductory/intermediate] Deep Signal Processing Sargur N. Srihari (University at Buffalo), [introductory] Generative Models in Deep Learning Gaël Varoquaux (INRIA), [intermediate] Representation Learning in Limited Data Settings René Vidal (Johns Hopkins University), [intermediate/advanced] Mathematics of Deep Learning Ming-Hsuan Yang (University of California, Merced), [intermediate/advanced] Learning to Track Objects *OPEN SESSION:* An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david(a)irdta.eu by January 3, 2021. *INDUSTRIAL SESSION:* A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 3, 2021. *EMPLOYER SESSION:* Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 3, 2021. *ORGANIZING COMMITTEE:* Emanuele Frontoni (Ancona, co-chair) Carlos Martín-Vide (Tarragona, program chair) Sara Moccia (Ancona) Sara Morales (Brussels) Marina Paolanti (Ancona) Manuel J. Parra-Royón (Granada) Luca Romeo (Ancona) David Silva (London, co-chair) *REGISTRATION:* It has to be done at https://irdta.eu/deeplearn2021w/registration/ The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event. *FEES:* Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. *ACCOMMODATION:* Suggestions for accommodation will be available in due time. *CERTIFICATE:* A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. *QUESTIONS AND FURTHER INFORMATION:* david(a)irdta.eu *ACKNOWLEDGMENTS:* Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche Institute for Research Development, Training and Advice – IRDTA, Brussels/London -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [AISWorld] Call for Abstracts: Pre-ICIS Workshop for MISQE Special Issue on "Strategies for surviving and thriving within and between digital platforms"
by Gustaf Neumann 11 Aug '20

11 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for Abstracts: Pre-ICIS Workshop for MISQE Special Issue on "Strategies for surviving and thriving within and between digital platforms" Date: Tue, 11 Aug 2020 08:29:01 +0000 From: Joaquin A Rodriguez <jrod122(a)lsu.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> ** UPDATE: The workshop will be fully virtual and innovative ** ** Deadline for submitting extended paper abstract: September 25th, 2020 ** CALL FOR ABSTRACTS MIS Quarterly Executive Academic Workshops In preparation for the December 2021 Special Issue on: Strategies for surviving and thriving within and between digital platforms Sponsored by: The Society for Information Management (SIM) and MIS Quarterly Executive You are invited to submit a paper for the pre-ICIS 2020 workshop: * ICIS 2020, **fully virtual** (Date and time will be announced once ICIS virtual schedule is available) In preparation for MIS Quarterly Executive’s Special Issue on “Strategies for surviving and thriving within and between digital platforms,” we invite you to submit an abstract for presentation at the pre-ICIS Academic Workshop. The purpose of these pre-conference workshop is to help develop papers for possible consideration for the special issue. The special issue aims to examine the strategic opportunities, management challenges, and emerging practices that address the new realities of platform-based competition and examine the role of digital assets and capabilities in such settings. We define platforms broadly - as layered modular architectures that allow participants to create value through data, complementarities and transactions taking place on the platform. We are particularly interested in field research that reveals challenges faced by companies which try to compete within or across platforms, and strategies they adopt to deal with these challenges. The CfP for the special issue is here: https://iu.app.box.com/s/dxtw4lnhuv7fr7f5xpibbgjfeau2rwy6<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fiu.app.bo…> Workshop Deadlines: · September 25th, 2020: Submit extended paper abstract · October 26th, 2020: Notification of workshop acceptance with preliminary editorial feedback Abstract requirements: · Please list all authors, their affiliations, contract information. · Please be specific as to the status of the research, the access to data (field studies, case studies, etc), project funding, and plan for completing the study. · Page limitation: No more than 2 single-spaced pages of text and up to 2 figures. We will not count figures, contact information or references in the 2-page limit. All submissions should be sent via email to both Program/Special Issue Chairs: · Kalle Lyytinen, Case Western University, kalle(a)case.edu<mailto:kalle@case.edu> · Varun Grover, University of Arkansas, vgrover(a)uark.edu<mailto:vgrover@uark.edu> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Final Call For Papers: International Workshop on Mining and Learning in the Legal Domain (MLLD 2020) @ IEEE ICDM 2020
by Gustaf Neumann 11 Aug '20

11 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] Final Call For Papers: International Workshop on Mining and Learning in the Legal Domain (MLLD 2020) @ IEEE ICDM 2020 Date: Mon, 10 Aug 2020 20:21:55 +0000 From: Shaghaghian, Shohreh (TR Technology) <Shohreh.Shaghaghian(a)thomsonreuters.com> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> The International Workshop on Mining and Learning in the Legal Domain (MLLD 2020)<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…> will be co-located with ICDM-2020<https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Ficdm2020.b…> to be held on November 17-20, 2020, Sorrento, Italy. Call For Papers Introduction The increasing accessibility of large legal corpora and databases create opportunities to develop data driven techniques as well as more advanced tools that can facilitate multiple tasks of researchers and practitioners in the legal domain. While recent advancements in the areas of data mining and machine learning have gained many applications in domains such as biomedical, healthcare and finance, there is still a noticeable gap in how much the state-of-the-art techniques are being incorporated in the legal domain. Achieving this goal entails building a multi-disciplinary community that can benefit from the competencies of both law and computer science experts. The goal of this workshop is to bring the researchers and practitioners of both disciplines together and provide an opportunity to share the latest novel research findings and innovative approaches in employing data analytics and machine learning in the legal domain. Topics We encourage submissions on novel mining and learning based solutions in various aspects of analyzing legal data such as Legislations, litigations, court cases, contracts, patents, Non-Disclosure Agreements (NDAs) and Bylaws. Topics of interest include, but are not limited to: * Applications of data mining techniques in the legal domain * case outcome prediction * classifying, clustering and identifying anomalies in big corpora of legal records * legal analytics * citation analysis for case law * eDiscovery * Applications of natural language processing and machine learning techniques for legal textual data * information extraction and entity extraction/resolution for legal document reviews * information retrieval and question answering in applications such as identifying relevant case law * summarization of legal documents * legal language modelling and legal document embedding and representation * recommender systems for legal applications * topic modelling in large amounts of legal documents * harnessing of deep learning approaches * Ethical issues in mining legal data * privacy and GDPR in legal analytics * bias in the applications of data mining * transparency in legal data mining * Training data for legal domain * digital lawyers and legal machines * smart contracts * future of law practice in the age of AI * Emerging topics in the intersection of data mining and law * acquisition, representation, indexing, storage, and management of legal data * automatic annotation and learning with human in the loop * data augmentation techniques for legal data * semi-supervised learning, domain adaptation, distant supervision and transfer learning Submissions You are invited to submit your original research and application papers to the workshop. As per ICDM instructions, papers are limited to a maximum of 8 pages, and must follow the IEEE ICDM format requirements. All accepted workshop papers will be published in the formal proceedings by the IEEE Computer Society Press. Each paper is reviewed by at least 3 reviewers from the program committee. Paper review is triple-blind. Manuscripts are to be submitted through CyberChair<https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.google…>. More information about the workshop is available here<https://nam02.saf elinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fview%2F…>. Important Dates * Paper submission due date: August 24, 2020 * Notification of acceptance: September 17, 2020 * Camera ready submission: September 24, 2020 * MLLD -2020 Workshop: November 17, 2020 Organizing Committee * Shohreh Shaghaghian<mailto:shohreh.shaghaghian@thomsonreuters.com>, Center for AI and Cognitive Computing at Thomson Reuters * Masoud Makrechi<mailto:masoud.makrehchi@uoit.ca>, OntarioTech University and Center for AI and Cognitive Computing at Thomson Reuters This e-mail is for the sole use of the intended recipient and contains information that may be privileged and/or confidential. If you are not an intended recipient, please notify the sender by return e-mail and delete this e-mail and any attachments. Certain required legal entity disclosures can be accessed on our website: https://www.thomsonreuters.com/en/resources/disclosures.html _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [wkwi] Call for Papers BISE - Digital Entrepreneurship: Opportunities, Challenges, and Impacts
by Gustaf Neumann 11 Aug '20

11 Aug '20

-------- Forwarded Message -------- Subject: [wkwi] Call for Papers BISE - Digital Entrepreneurship: Opportunities, Challenges, and Impacts Date: Tue, 11 Aug 2020 16:12:44 +0200 From: Dennis Steininger | University of Augsburg <dennis.steininger(a)wiwi.uni-augsburg.de> Reply-To: Dennis Steininger | University of Augsburg <dennis.steininger(a)wiwi.uni-augsburg.de> To: wkwi(a)listserv.dfn.de, wi(a)lists.kit.edu Sehr geehrte Damen und Herren, untenstehend möchten wir Sie gerne nochmals auf den Call for Papers "*Digital Entrepreneurship: Opportunities, Challenges, and Impacts*" von BISE hinweisen. Etwaige Mehrfachzustellungen über die verschiedenen Kanäle bitten wir dabei zu entschuldigen. Wir freuen uns sehr über Einreichungen aus Ihren Reihen. Mit freundlichen Grüßen Dennis Steininger Jörn Hendrich Block Kathryn Brohman -- Dr. Dennis Steininger *Dr. Dennis Steininger* Assistant Professor University of Augsburg | Faculty of Business and Economics Chair of Information Systems and Management, Prof. Dr. Daniel Veit Room J 1405 | Universitaetsstrasse 16 | 86159 Augsburg, Germany Ph +49 821 598-4245 | Fax +49 821 598-4432 E-Mail: dennis.steininger(a)wiwi.uni-augsburg.de <mailto:dennis.steininger@wiwi.uni-augsburg.de> https://www.uni-augsburg.de/en/fakultaet/wiwi/prof/bwl/veit/team/dennis-ste… ****************************************************************************************************** CALL FOR PAPERS *BISE Special Issue - Digital Entrepreneurship: Opportunities, Challenges, and Impacts* Deadline for submission: 1 March 2021 Details:http://www.bise-journal.com/?p=1865 ****************************************************************************************************** *Special Issue* Digital transformation creates new opportunities and is an important driver of novel and often disruptive innovation and value creation. Entrepreneurs are using digital technologies to finance innovation (Ahrens et al. 2019; Audretsch et al. 2016; Fisch 2019) or create new digital products, services, and business models. These activities are called digital entrepreneurship and related new ventures are commonly referred to as digital startups if their business logic fully relies on digital technologies for value creation and transfer (Berger et al. 2019; Steininger 2019). Such endeavors bring changes in entrepreneurial processes (e.g., opportunity recognition and pursuit), innovation, competences, control, financing, institutions, and ecosystems (Block et al. 2018b; Cram et al. 2016; Hoegen et al. 2018; Nambisan 2017; Sussan and Acs 2017; Veit et al. 2014). The analysis of innovation and its positive economic impacts have a long tradition in information systems as well as entrepreneurship research (Audretsch et al. 2006; Yoo et al. 2010). Today, digital entrepreneurship is recognized by many countries as a very important element of economic development and job creation (Block et al. 2018a). However, at the same time, it also challenges established industries and forces them to cope with these new developments and technologies that can have adverse consequences on the economy and society (Shen et al. 2018; Veit et al. 2014). This special issue focuses on understanding digital entrepreneurship and its implications. Specifically, we encourage contributions that deal with the opportunities and challenges of digitalization for entrepreneurial endeavors, specificities of processes in digital startups and for developing digital business models, and the impacts on cities, regions, or countries. *Invited Contributions* Submissions to this special issue are encouraged from all theoretical and methodological perspectives drawing from information systems, entrepreneurship, organizational behavior, strategic management, and others. Authors must clearly outline why their study is new and interesting for research and practice and how it relates to the theme of the special issue. The following list of topics is neither exclusive nor exhaustive. We have structured them along three dimensions (Recker and von Briel 2019): /Opportunities of Digital Entrepreneurship/ * Opportunity recognition via digital means * Novel use of digital technologies for entrepreneurial activities and venture development (e.g., digital tools for business model creation and evaluation, big data, AI) * Opportunities and management of digital methods of funding innovation and entrepreneurship (e.g., crowdfunding, ICOs) * New value creation and platform innovation through digital technologies * Corporate entrepreneurship and startups within established organizations to approach opportunities and challenges of digital transformation * Exploitation of missing regulation of digital entrepreneurship (e.g., Uber) /Processes, Organization, and Challenges of Digital Entrepreneurship/ * Competence and team needs of (corporate) digital entrepreneurs * Digital entrepreneurial culture * The role of universities and entrepreneurial ecosystems for digital entrepreneurship * Impacts of digital technologies on entrepreneurial decision making * Use of Social media or crowdsourcing resources by entrepreneurs * Organization, organizational learning, and performance of digital startups * Management of digital business model innovation * Internationalization of digital startups * Alignment of digital capabilities and business models * Behavior of startups in digital platform ecosystems (e.g., App Entrepreneurs) * Development and management of new digital ecosystems by startups * Industry-specific classification schemes of startups or business models (e.g. sharing economy, blockchain, or AI business model types) * Changes in startup investment processes due to digitalization /Impacts of Digital Entrepreneurship/ * Impacts of digital entrepreneurship on regions and countries (e.g., knowledge spill-over, innovation, job-creation, economic growth) * Investments in digital innovation and their economic or societal pay-offs * The dark side of new digital business models (e.g., negative impacts of sharing economy business models such as AirBnB or Uber on economy and society) * Influences of digital entrepreneurial and innovative activities on government policy or regulation *Schedule* * Deadline for submission: 1 March 2021 * Notification of the author 1: 3 May 2021 * Completion revision 1: 2 July 2021 * Notification of the author 2: 17 August 2021 * Completion Revision 2: 21 September 2021 *Editors of the Special Issue* J. H. Block Faculty of Management, Trier University Witten Institute for Family Business (WIFU), Witten/HerdeckeUniversity Erasmus School of Economics, Erasmus University Rotterdam block(a)uni-trier.de K. Brohman Smith School of Business, Queen’s University, Kingston kathryn.brohman(a)queensu.ca D. M. Steininger (corresponding) Faculty of Business and Economics, University of Augsburg dennis.steininger(a)wiwi.uni-augsburg.de *Details and Submission: http://www.bise-journal.com/?p=1865 *

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Fwd: [AISWorld] Call for Papers BISE - Digital Entrepreneurship: Opportunities, Challenges, and Impacts
by Gustaf Neumann 11 Aug '20

11 Aug '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers BISE - Digital Entrepreneurship: Opportunities, Challenges, and Impacts Date: Tue, 11 Aug 2020 18:06:40 +0200 From: Dennis Steininger | University of Augsburg <dennis.steininger(a)wiwi.uni-augsburg.de> To: aisworld(a)lists.aisnet.org **************************************************************************************************************************** CALL FOR PAPERS **BISE Special Issue - Digital Entrepreneurship: Opportunities, Challenges, and Impacts** Deadline for submission: 1 March 2021 Details: http://www.bise-journal.com/?p=1865 **************************************************************************************************************************** *SPECIAL ISSUE* Digital transformation creates new opportunities and is an important driver of novel and often disruptive innovation and value creation. Entrepreneurs are using digital technologies to finance innovation (Ahrens et al. 2019; Audretsch et al. 2016; Fisch 2019) or create new digital products, services, and business models. These activities are called digital entrepreneurship and related new ventures are commonly referred to as digital startups if their business logic fully relies on digital technologies for value creation and transfer (Berger et al. 2019; Steininger 2019). Such endeavors bring changes in entrepreneurial processes (e.g., opportunity recognition and pursuit), innovation, competences, control, financing, institutions, and ecosystems (Block et al. 2018b; Cram et al. 2016; Hoegen et al. 2018; Nambisan 2017; Sussan and Acs 2017; Veit et al. 2014). The analysis of innovation and its positive economic impacts have a long tradition in information systems as well as entrepreneurship research (Audretsch et al. 2006; Yoo et al. 2010). Today, digital entrepreneurship is recognized by many countries as a very important element of economic development and job creation (Block et al. 2018a). However, at the same time, it also challenges established industries and forces them to cope with these new developments and technologies that can have adverse consequences on the economy and society (Shen et al. 2018; Veit et al. 2014). This special issue focuses on understanding digital entrepreneurship and its implications. Specifically, we encourage contributions that deal with the opportunities and challenges of digitalization for entrepreneurial endeavors, specificities of processes in digital startups and for developing digital business models, and the impacts on cities, regions, or countries. * INVITED CONTRIBUTIONS* Submissions to this special issue are encouraged from all theoretical and methodological perspectives drawing from information systems, entrepreneurship, organizational behavior, strategic management, and others. Authors must clearly outline why their study is new and interesting for research and practice and how it relates to the theme of the special issue. The following list of topics is neither exclusive nor exhaustive. We have structured them along three dimensions (Recker and von Briel 2019): /Opportunities of Digital Entrepreneurship:/ - Opportunity recognition via digital means - Novel use of digital technologies for entrepreneurial activities and venture development (e.g., digital tools for business model creation and evaluation, big data, AI) - Opportunities and management of digital methods of funding innovation and entrepreneurship (e.g., crowdfunding, ICOs) - New value creation and platform innovation through digital technologies - Corporate entrepreneurship and startups within established organizations to approach opportunities and challenges of digital transformation - Exploitation of missing regulation of digital entrepreneurship (e.g., Uber) /Processes, Organization, and Challenges of Digital Entrepreneurship:/ - Competence and team needs of (corporate) digital entrepreneurs - Digital entrepreneurial culture - The role of universities and entrepreneurial ecosystems for digital entrepreneurship - Impacts of digital technologies on entrepreneurial decision making - Use of Social media or crowdsourcing resources by entrepreneurs - Organization, organizational learning, and performance of digital startups - Management of digital business model innovation - Internationalization of digital startups - Alignment of digital capabilities and business models - Behavior of startups in digital platform ecosystems (e.g., App Entrepreneurs) - Development and management of new digital ecosystems by startups - Industry-specific classification schemes of startups or business models (e.g. sharing economy, blockchain, or AI business model types) - Changes in startup investment processes due to digitalization /Impacts of Digital Entrepreneurship:/ - Impacts of digital entrepreneurship on regions and countries (e.g., knowledge spill-over, innovation, job-creation, economic growth) - Investments in digital innovation and their economic or societal pay-offs - The dark side of new digital business models (e.g., negative impacts of sharing economy business models such as AirBnB or Uber on economy and society) - Influences of digital entrepreneurial and innovative activities on government policy or regulation * SCHEDULE* - Deadline for submission: 1 March 2021 - Notification of the author 1: 3 May 2021 - Completion revision 1: 2 July 2021 - Notification of the author 2: 17 August 2021 - Completion Revision 2: 21 September 2021 * EDITORS OF THE SPECIAL ISSUE* J. H. Block Faculty of Management, Trier University Witten Institute for Family Business (WIFU), Witten/HerdeckeUniversity Erasmus School of Economics, Erasmus University Rotterdam block(a)uni-trier.de K. Brohman Smith School of Business, Queen’s University, Kingston kathryn.brohman(a)queensu.ca D. M. Steininger (corresponding) Faculty of Business and Economics, University of Augsburg dennis.steininger(a)wiwi.uni-augsburg.de Details and Submission: http://www.bise-journal.com/?p=1865 -- Dr. Dennis Steininger Assistant Professor University of Augsburg | Faculty of Business and Economics Chair of Information Systems and Management, Prof. Dr. Daniel Veit Room J 1405 | Universitaetsstrasse 16 | 86159 Augsburg, Germany Ph +49 821 598-4245 | Fax +49 821 598-4432 E-Mail: dennis.steininger(a)wiwi.uni-augsburg.de https://www.uni-augsburg.de/en/fakultaet/wiwi/prof/bwl/veit/team/dennis-ste… _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] Call for Papers: IEEE/WIC/ACM WI-IAT 2020 [A Fully Virtual Conference]
by Gustaf Neumann 10 Aug '20

10 Aug '20

-------- Forwarded Message -------- Subject: [WI] Call for Papers: IEEE/WIC/ACM WI-IAT 2020 [A Fully Virtual Conference] Date: Mon, 10 Aug 2020 18:45:33 +0900 From: H.Z. Kuai <hongzhi.kuai(a)gmail.com> Reply-To: H.Z. Kuai <hongzhi.kuai(a)gmail.com> To: agents(a)cs.umbc.edu, fca-list(a)cs.uni-kassel.de, iefac.list(a)mailhost.ces.clemson.edu, neuromail(a)brain.riken.jp, s-news(a)lists.biostat.wustl.edu, wi(a)aifb.uni-karlsruhe.de, pvs(a)csl.sri.com [Apologies if you receive this more than once] +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20) 14-17 December 2020 - A Fully Virtual Conference Homepage: http://wi2020.vcrab.com.au/ Web Intelligence (WI) = AI in the Connected World +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Full Papers Submission Deadline: Sep. 1, 2020 (last deadline extension) Due to the current Stage 4 COVID-19 lockdown in Melbourne and many requests, we have decided that the WI-IAT 2020 will be converted to an entirely virtual conference and the deadline for paper submission has been extended to 1st September 2020. JOURNAL OPPORTUNITIES (possible post conference publication) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - Web Intelligence Journal (https://www.iospress.nl/journal/web-intelligence-and-agent-systems/) Publisher: IOS Press - World Wide Web Journal (https://www.springer.com/journal/11280/updates/17869608) Special Issue on "Web Intelligence = Artificial Intelligence in the Connected World" Publisher: Springer Nature - Information Fusion (https://www.journals.elsevier.com/information-fusion/call-for-papers/multi-…) Special Issue on "Multi-Source Information Fusion for Smart Health with AI" Publisher: Elsevier - International Journal of Information Technology & Decision Making (https://www.worldscientific.com/worldscinet/ijitdm) Publisher: World Scientific - Concurrency and Computation: Practice and Experience (https://onlinelibrary.wiley.com/journal/15320634) Publisher: Wiley - Information Sciences (https://www.journals.elsevier.com/information-sciences) Publisher: Elsevier - IEEE Transactions on Fuzzy Systems (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=91) Publisher: IEEE Press - Future Generation Computer Systems (https://www.sciencedirect.com/journal/future-generation-computer-systems) Publisher: Elsevier - Brain Informatics (https://braininformatics.springeropen.com/) Publisher: Springer Nature - Symmetry (https://www.mdpi.com/journal/symmetry/special_issues/Biological_Network_Ana…) Special Issue on "Biological Network Analysis and Synthesis for Symmetry" Publisher: MDPI *** Call for papers *** Full Papers Submission Deadline: Sep. 1, 2020 Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance knowledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web’s entities, phenomena, and developments. Web Intelligence and Intelligent Agent Technology (WI-IAT) aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with collective intelligence, data science, human-centric computing, knowledge management, network science, autonomous agents and multi-agent systems. It is committed to addressing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of intelligent technologies. WI-IAT ’20 provides a premier forum and features high-quality, original research papers and real-world applications in all theoretical and technology areas that make up the field of Web Intelligence and Intelligent Agent Technology. WI-IAT ’20 welcomes research, application as well as Industry/Demo-Track paper submissions. Tutorial, Workshop and Special-Session proposals and papers are also welcome. WI-IAT ’20 is officially sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), Web Intelligence Consortium (WIC), ACM-SIGAI, Swinburne University of Technology, Deakin University, and technically sponsored by University of Melbourne. WI-IAT ’20 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings and strategies in utilizing the power of human brains and man-made networks to create a better world. More specifically, the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, and emerging Web in health and smart living in the 5G Era. The main theme for the WI-IAT '20 is "Web Intelligence = AI in the Connected World". It will also feature an industrial session, to embrace innovative concepts, architecture, evaluation and novel applications from industry. TRACKS AND TOPICS ++++++++++++++++++ Track 1: Web of People * Crowdsourcing and Social Data Mining * Human-Centric Computing * Information Diffusion * Knowledge Community Support * Modelling Crowd-Sourcing * Opinion Mining * People Oriented Applications and Services * Recommendation Engines * Sentiment Analysis * Situational Awareness Social Network Analysis * Social Groups and Dynamics * Social Media and Dynamics * Social Networks Analytics * User and Behavioural Modelling Track 2: Web of Data * Algorithms and Knowledge Management * Autonomy-Oriented Computing (AOC) * Big Data Analytics * Big Data and Human Brain Complex Systems * Cognitive Models * Computational Models * Data-Driven Services and Applications * Data Integration and Data Provenance * Data Science and Machine Learning * Graph Isomorphism * Graph Theory * Information Search and Retrieval * Knowledge Graph * Knowledge Graph and Semantic Networks * Linked Data Management and Analytics * Self-Organizing Networks * Semantic Networks * Sensor Networks * Web Science Track 3: Web of Things * Complex Networks * Distributed Systems and Devices * Dynamics of Networks * Industrial Multi-Domain Web * Intelligent Ubiquitous Web of Things * IoT Data Analytics * Location and Time Awareness * Open Autonomous Systems * Streaming Data Analysis * Web Infrastructures and Devices Mobile Web * Wisdom Web of Things (W2T) Track 4: Web of Trust * Blockchain analytics and technologies * Fake content and fraud detection * Hidden Web Analytics * Monetization Services and Applications * Trust Models for Agents * Ubiquitous Computing * Web Cryptography * Monetization services and applications * Web safety and openness Track 5: Web of Agents * Agent Networks * Autonomy Remembrance Agents * Autonomy-oriented Computing * Behaviour Modelling * Distributed Problem-Solving Global Brain * Edge Computing * Individual-based Modelling Knowledge * Information Agents * Local-Global Behavioural Interactions * Mechanism Design * Multi-Agent Systems * Network Autonomy Remembrance Agents * Self-adaptive Evolutionary Systems * Self-organizing Systems * Social Groups and Dynamics Special Track: Emerging Web in Health and Smart Living * Big Data in Medicine * City Brain and Global Brain * Digital Ecosystems * Digital Epidemiology * Health Data Exchange and Sharing * Healthcare and Medical Applications and Services * Omics Research and Trends * Personalized Health Management and Analytics * Smart City Applications and Services * Time Awareness and Location Awareness Smart City * Wellbeing and Healthcare in the 5G Era IMPORTANT DATES +++++++++++++++ Sep 1st, 2020: Full Papers Submission Oct 20th, 2020: Notification of Paper Acceptance/Rejection Dec 14th-17th, 2020: Virtual Conference (Including the main conference and workshops/special sessions) PAPER SUBMISSION GUIDELINES (including Main Conference and Workshops/Special Session Papers) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Papers must be submitted electronically in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html). Submitted papers will undergo a peer-review process, coordinated by the International Program Committee. Paper submission will be done through CyberChair system: https://wi-lab.com/cyberchair/2020/wi20/scripts/submit.php?subarea=WI ACCEPTED WORKSHOPS/SPECIAL SESSIONS +++++++++++++++++++++++++++++++++++ - The 13th International Workshop on Natural Language Processing and Ontology Engineering (NLPOE2020) http://rcei.jiangnan.edu.cn/info/1004/1485.htm Organizers: Yao Liu, Institute of Scientific and Technical Information, China Meng Wang, Jiangnan University, China Yi Huang, Institute of Scientific and Technical Information, China - The 5th International Workshop on Application of Big Data for Computational Social Science (ABCSS2020) https://css-japan.com/abcss2020/ Organizers: Fujio Toriumi, The University of Tokyo, Japan Akira Ishii, Tottori University, Japan Hiroki Takikawa, Tohoku University, Japan Mitsuo Yoshida, Toyohashi University of Technology, Japan Isamu Okada, Soka University, Japan - The 7th International Workshop on Complex Methods for Data and Web Mining (CMDWM) http://feds.ac.cn/index.php/zh-cn/tzgg/2848-call-for-paper-the-7th-workshop… Organizers: Yong Shi, University of Chinese Academy of Sciences, China Lingfeng Niu, University of Chinese Academy of Sciences, China - Social Media Analytics for Health Intelligence: How Artificial Intelligence Transforms Healthcare (SMA4H) http://sma4h.icar.cnr.it <http://sma4h.icar.cnr.it/> Organizers: Carmela Comito, CNR-ICAR, Italy Agostino Forestiero, CNR-ICAR, Italy Clara Pizzuti, CNR-ICAR, Italy - The International Workshop on Data Analytics on Social Media (DASM) https://www.dasm-workshop.qut.edu.au/ Organizers: Yue Xu, Queensland University of Technology, Australia Xiaoying Gao, Victoria University of Wellington, New Zealand Yuefeng Li, Queensland University of Technology, Australia - The 9th International Workshop on Intelligent Data Processing (IDP) -- Online Education Amid COVID19 https://www.comp.hkbu.edu.hk/~csyxli/IDP2020/index.html Organizers: Haolan Zhang, Zhejiang University, China Junwei Wang, Zhejiang University, China Kristen Yuanxi Li, Hong Kong Baptist University, HK, China Paolo Mengoni, Hong Kong Baptist University, HK, China Zhenyu Shu, Zhejiang University, China - Topics of Internet Censorship and Surveillance https://tics.site/ Organizers: Vasilis Ververis, Humboldt University of Berlin, Germany Marios Isaakidis, University College London, United Kingdom Gunnar Wolf, National Autonomous University of Mexico, Mexico We are looking forward to your contributions! ORGANIZATION STRUCTURE ++++++++++++++++++++++ General Chairs * Yuefeng Li, Queensland University of Technology, Australia * Rainer Unland, University of Duisburg-Essen, Germany * Eugene Santos Jr., Dartmouth College, USA Program Committee Chairs * Jing He, Swinburne University of Technology, Australia * Hemant Purohit, George Mason University, USA * Willem-Jan van den Heuvel, The Netherlands * John Yearwood, Deakin University, Australia Local Organizing Chairs * Chi Hung Chi, CSIRO, Australia * Anwaar Ulhaq, Charles Sturt University, Australia * Vicky Mak-Hau, Deakin University, Australia Workshop/Special Session Chairs * Jian Cao, Shanghai Jiaotong University, China * Ke Deng, RMIT University, Australia * Xiaoying Gao, Victoria University of Wellington, New Zealand Tutorial Chair * Rui Zhang, University of Melbourne, Australia Demo Chair * Juan D. Velasquez Silva, University of Chile, Chile Industry Track Chairs * Qing Liu, CSIRO, Australia * Yimu Ji, Nanjing University of Posts and Communications, China Publication Chairs * Guangyan Huang, Deakin University, Australia * Yanfeng Shu, CSIRO, Australia * Ruchuan Wang, Nanjing University of Posts and Communications, China Publicity Chairs * Karin Becker, Universidade Federal do Rio Grande Do Sul, Brasil * Yang Liu, Hong Kong Baptist University, HK, China * Muhammad Abulaish, South Asian University, India * Leonidas Anthopoulos, University of Thessaly, Greece * Yuanfang Li, Monash University, Australia WebMaster * Mengjiao Guo, Swinburne University of Technology, Australia CyberChairMaster * Hongzhi Kuai, Maebashi Institute of Technology, Japan WIC Steering Committee Chairs * Ning Zhong, Maebashi Institute of Technology, Japan * Jiming Liu, Hong Kong Baptist University, HK, China WIC Executive Secretary * Xiaohui Tao, University of Southern Queensland, Australia Contact Information Academic Matters Prof. Jing He, Swinburne University of Technology, Australia Email:jinghe@swin.edu.au <mailto:Email%3Ajinghe@swin.edu.au> Local Arrangement wi.iat.2020.12(a)gmail.com <mailto:wi.iat.2020.12@gmail.com> -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [wkwi] CfP WI2021-Track „Datenmanagement und Datenökosysteme“
by Gustaf Neumann 10 Aug '20

10 Aug '20

-------- Forwarded Message -------- Subject: [wkwi] CfP WI2021-Track „Datenmanagement und Datenökosysteme“ Date: Mon, 10 Aug 2020 10:23:40 +0000 From: Christine Legner <christine.legner(a)unil.ch> Reply-To: Christine Legner <christine.legner(a)unil.ch> To: wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de> CC: Otto, Boris <Boris.Otto(a)isst.fraunhofer.de>, Stelzer Dirk Univ.-Prof. Dr. TU Ilmenau <dirk.stelzer(a)tu-ilmenau.de> /Bitte entschuldigen Sie eventuelle Mehrfachzustellungen/ ** *Call for Papers für denWI2021-Track„**Datenmanagement und Datenökosysteme“* 16. Internationale Tagung Wirtschaftsinformatik (WI 2021), 09.-11. März 2021, Universität Duisburg-Essen https://wi2021.de/datenmanagement-und-datenoekosysteme/ ** *Einreichungsfrist : 28.8.2020 (verlängert)* ** *Track Chairs* Christine Legner, HEC - Universität Lausanne Boris Otto, Fraunhofer-Institut für Software- und Systemtechnik ISST, TU Dortmund Dirk Stelzer, TU Ilmenau ** *Beschreibung* Die Wertschöpfung von Unternehmen ist schon heute entscheidend von der Qualität der Daten und der Effizienz ihrer Planung, Verarbeitung, Steuerung und Kontrolle abhängig. Ausgelöst durch die Digitalisierung und das Internet der Dinge werden Daten darüber hinaus zum Kernbestandteil von Geschäftsmodellen oder von neuen Dienstleistungen („Data-as-a-Service“). Daten werden zunehmend direkt monetarisiert, und es entstehen auf diese Weise neuartige Datenökosysteme. Die kürzlich aufgelegten Datenstrategien der deutschen Bundesregierung und der Europäischen Kommission unterstreichen die Bedeutung, die Daten für die zukünftige Wettbewerbsfähigkeit von Unternehmen sowie gesellschaftliche Prosperität beigemessen wird. Datenmanagement umfasst sämtliche Aktivitäten, die zur Bewirtschaftung von Daten in Unternehmen und Wertschöpfungsnetzwerken notwendig sind. Dazu gehören insbesondere organisatorische Aufgaben und Daten-Governance sowie Daten-/Informationsmodellierung und -architekturen. Durch die Digitalisierung und das Internet der Dinge ergeben sich vielfältige Forschungsbedarfe: Die Ansätze des Datenmanagements sind auf neue Datenklassen, insbesondere unstrukturierte Daten, und Datenspeicher für heterogene Daten zu erweitern. Darüber hinaus erfordern Datenökosysteme das Teilen von Daten bei gleichzeitiger Gewährleistung der Datensouveränität des Datengebers sowie der Vertrauensschutz des Datennehmers. Forschungsbedarf besteht zudem bei der institutionellen, organisatorischen und technischen Gestaltung von Dateninfrastrukturen, die es erlauben interne mit externen und offenen Datenbestände („Open Data“) zu verknüpfen. *Themenfelder * Wir ermutigen Autorinnen und Autoren, sowohl theoriebasierte als auch anwendungsorientierte Beiträge, die sich mit dem Datenmanagement und Datenökosystemen beschäftigen, in diesem Track einzureichen. Mögliche Themen umfassen: * Management von Daten und Datenqualität * Verfahren zur Definition, Bewertung und Verbesserung der Datenqualität * Data Sharing und multilaterale Formen des Datenmanagements * Governance von Datenplattformen * Datenmonetarisierung, Datenmarktplätze und Datenwert * Theorien zur Wertschöpfung von Daten * Datenschutz, Datensicherheit und Datensouveränität * Nutzung und Bewirtschaftung von externen Daten * Wiederverwenden und Teilen von Daten in Ökosystemen * Rollen und Konfiguration von Data Supply Chains / Data Value Chains * Architekturen und -standards für Datenökosysteme * Interoperabilität und Portabilität von Daten in der Cloud *Associate Editors* Sören Auer, Leibniz Universität Hannover Markus Eurich, Universität Lausanne Jörg Leukel, Universität Hohenheim Matthias Jarke, RWTH Allan Hanbury, TU Wien Matthias Klier, Universität Ulm Wolfgang Maaß, DFKI, Universität des Saarlandes Thomas Schäffer, Hochschule Heilbronn Alexander Schiller, Universität Regensburg Kristin Weber, Hochschule Würzburg-Schweinfurt Anette Weisbecker, Fraunhofer IAO, Universität Stuttgart Manuel Wiesche, TU Dortmund Axel Winkelmann, Universität Würzburg Informationen zum Track: https://wi2021.de/datenmanagement-und-datenoekosysteme/

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Cfp August 2020