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Fwd: [AISWorld] CPS: IJDSST special issue on "Group Decision-Making Support Systems for Pandemic Crises"
by Gustaf Neumann 25 May '20

25 May '20

-------- Forwarded Message -------- Subject: [AISWorld] CPS: IJDSST special issue on "Group Decision-Making Support Systems for Pandemic Crises" Date: Mon, 25 May 2020 17:23:49 +0000 From: Jose Manuel Mora Tavarez <jose.mora(a)edu.uaa.mx> To: ISWorld list <aisworld(a)lists.aisnet.org> CC: Fen Wang <Fen.Wang(a)cwu.edu>, jorge.marx.gomez(a)uni-oldenburg.de <jorge.marx.gomez(a)uni-oldenburg.de>, Gloria Wren <gwren(a)loyola.edu> ********************* CALL FOR PAPERS ********************* SUBMISSION DUE DATE: December 15, 2020 SPECIAL ISSUE ON Group Decision-Making Support Systems for Pandemic Crises International Journal of Decision Support System Technology (IJDSST) Guest Editors: Prof. Manuel Mora, Autonomous University of Aguascalientes, Mexico Prof. Gloria Phillips-Wren, Loyola University Maryland, USA Prof. Jorge Marx Gomez, University of Oldenburg, Germany Prof. Fen Wang, Central Washington University, USA INTRODUCTION: Group Decision-Making Support Systems (GDMSS) have been widely investigated and used from their origins in the ’80s-’90s decades (Huber, 1984; DeSanctis and Gallupe, 1987; Nunamaker et al; 1987; Gray, 1987; Dickson et al., 1993; Fjermestad and Hiltz, 1998), and until nowadays (Gray et al., 2011; Zarate et al., 2013; Mora et al., 2014; Carneiro et al., 2019; Sakka et al., 2019; Ghavami et al., 2019; Aghazadeh and Padoano, 2020). GDMSS have been proposed for supporting critical group decisions demanded from high- social and economic impact events (Belardo and Harrald, 1992; Jefferson and Harrald, 2007; Levy and Taji, 2007; Xu et al., 2015). Furthermore, GDMSS have also supported the group decisions required in the healthcare sector in the last 30 years ago (Hatcher, 1990; Liu et al., 2018). Nowadays, the worldwide COVID-19 crisis with the highest impacts on public health, economic and social dimensions have challenged (Liu et al., 2020) the group decision-making process and GDMSS that can provide effective, efficient and systemic-view support including the impacted health, economic, and social dimensions among other relevant ones (Rehfuess et al., 2019; Portela et al., 2019). Furthermore, relevant studies have reported critical misconceptions on public governmental decisions that occurred due to the utilization of a single pandemic modeling perspective (Ionnadis, 2020), which calls for more systemically designed GDMSS (Luke and Stamatakis, 2012; Araz, 2013). Consequently, whereas there is a vast availability of GDMSS, the COVID-19 crisis has revealed that updated GDMSS concepts, frameworks, methods and technologies (Hevner et al., 2004; Arnott and Pervan, 2014), from a systemic perspective, are required to address effectively, efficiently, and ethically a group decision-making process conducted by policymakers in the context of a pandemic crisis (Moghadas et al., 2009; Moberg et al., 2018; Shearer et al., 2020; Squazzoni et al., 2020; Aghazadeh and Padoano, 2020). REFERENCES Aghazadeh, A., & Padoano, E. (2020). A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making. Sustainability, 12(7), 2602. Araz, O. M. (2013). Integrating complex system dynamics of pandemic influenza with a multi-criteria decision making model for evaluating public health strategies. Journal of Systems Science and Systems Engineering, 22(3), 319-339. Arnott, D., & Pervan, G. (2014). A Critical Analysis of Decision Support Systems Research Revisited: The Rise of Design Science. Journal of Information Technology, 29(4), 269-293. Belardo, S., & Harrald, J. (1992). A framework for the application of group decision support systems to the problem of planning for catastrophic events. IEEE transactions on Engineering Management, 39(4), 400-411. Carneiro, J., Saraiva, P., Conceição, L., Santos, R., Marreiros, G., & Novais, P. (2019). Predicting satisfaction: perceived decision quality by decision-makers in web-based group decision support systems. Neurocomputing, 338, 399-417. DeSanctis, G., & Gallupe, R. B. (1987). A foundation for the study of group decision support systems. Management Science, 33(5), 589-609. Dickson, G. W., Partridge, J. E. L., & Robinson, L. H. (1993). Exploring modes of facilitative support for GDSS technology. MIS Quarterly, 173-194. Fjermestad, J, & Hiltz, S. R. (1998). An assessment of group support systems experimental research: methodology and results. Journal of Management Information Systems, 15(3), 7-149. Ghavami, S. M., Maleki, J., & Arentze, T. (2019). A multi-agent assisted approach for spatial Group Decision Support Systems: A case study of disaster management practice. International Journal of Disaster Risk Reduction, 38, 101223. Gray, P. (1987). Group decision support systems. Decision support systems, 3(3), 233-242. Gray, P., Johansen, B., Nunamaker, J., Rodman, J., & Wagner, G. R. (2011). GDSS past, present, and future. In Decision support (pp. 1-24). Springer, New York, NY. Hatcher, M. (1990). Uniqueness of group decision support systems (GDSS) in medical and health applications. Journal of Medical Systems, 14(6), 351-364. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 75-105. Huber, G. P. (1984). Issues in the design of group decision support systems. MIS Quarterly, 8(3), 195-204. Ioannidis, J. P. (2020). Coronavirus disease 2019: the harms of exaggerated information and non‐evidence‐based measures. European Journal of Clinical Investigation, 50(4), e13222. Jefferson, T. I., & Harrald, J. R. (2007). Collaborative technology: providing agility in response to extreme events. International Journal of Electronic Governance, 1(1), 79-93. Levy, J. K., & Taji, K. (2007). Group decision support for hazards planning and emergency management: A Group Analytic Network Process (GANP) approach. Mathematical and Computer Modelling, 46(7-8), 906-917. Liu, H. C., You, X. Y., Tsung, F., & Ji, P. (2018). An improved approach for failure mode and effect analysis involving large group of experts: an application to the healthcare field. Quality Engineering, 30(4), 762-775. Liu, P., Zhong, X., & Yu, S. (2020). Striking a balance between science and politics: understanding the risk-based policy-making process during the outbreak of COVID-19 epidemic in China. Journal of Chinese Governance, 1-15. Luke, D. A., & Stamatakis, K. A. (2012). Systems science methods in public health: dynamics, networks, and agents. Annual Review of Public Health, 33, 357-376. Moberg, J., Oxman, A. D., Rosenbaum, S., Schünemann, H. J., Guyatt, G., Flottorp, S., ... & Alonso-Coello, P. (2018). The GRADE Evidence to Decision (EtD) framework for health system and public health decisions. Health Research Policy and Systems, 16(1), 45. Moghadas, S. M., Pizzi, N. J., Wu, J., & Yan, P. (2009). Managing public health crises: the role of models in pandemic preparedness. Influenza and Other Respiratory Viruses, 3(2), 75-79. Mora, M., Phillips-Wren, G., & Wang, F. (2014). An integrative evaluation framework for determining the value of group decision support systems. Engineering Management Journal, 26(2), 24-38. Nunamaker Jr, J. F., Applegate, L. M., & Konsynski, B. R. (1987). Facilitating group creativity: Experience with a group decision support system. Journal of Management Information Systems, 3(4), 5-19. Portela, A., Tunçalp, Ö., & Norris, S. L. (2019). Taking a complexity perspective when developing public health guidelines. Bulletin of the World Health Organization, 97(4), 247. Rehfuess, E. A., Stratil, J. M., Scheel, I. B., Portela, A., Norris, S. L., & Baltussen, R. (2019). The WHO-INTEGRATE evidence to decision framework version 1.0: integrating WHO norms and values and a complexity perspective. BMJ Global Health, 4(Suppl 1), e000844. Sakka, A., Bosetti, G., Grigera, J., Camilleri, G., Fernández, A., Zaraté, P., ... & Sautot, L. (2019, June). UX Challenges in GDSS: An Experience Report. In International Conference on Group Decision and Negotiation (pp. 67-79). Springer, Cham. Shearer, F. M., Moss, R., McVernon, J., Ross, J. V., & McCaw, J. M. (2020). Infectious disease pandemic planning and response: Incorporating decision analysis. PLoS Medicine, 17(1). Squazzoni, F., Polhill, J. G., Edmonds, B., Ahrweiler, P., Antosz, P., Scholz, G., ... & Gilbert, N. (2020). Computational models that matter during a global pandemic outbreak: A call to action. Journal of Artificial Societies and Social Simulation, 23(2). Xu, X. H., Du, Z. J., & Chen, X. H. (2015). Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions. Decision Support Systems, 79, 150-160. Zaraté, P., Konate, J. & Camilleri, G. (2013) Collaborative Decision Making Tools: A Comparative Study Based on Functionalities. (2013) In: 13th International Conference Group Decision and Negotiation (GDN 2013), 17-21 June, Stockholm, Sweden. OBJECTIVE OF THE SPECIAL ISSUE: This special issue pursues to advance group decision-making methods and tools to meet severe health, economic, and social challenges that emerged from the Covid-19 pandemic crisis in this decade. High-quality conceptual and empirical research papers are invited from the international interdisciplinary scientific community interested in helping to provide better group decision-making support to policymakers in the context of a pandemic crisis. RECOMMENDED TOPICS: Topics to be addressed in this special issue include (but are not limited to) the following ones: * Conceptual analysis of the WHO-INTEGRATE Evidence to Decision Framework with a group decision-making perspective. * Conceptual group decision-making methods derived from the WHO-INTEGRATE Evidence to Decision Framework. * Empirical designs and evaluations of GDMSS tools derived from the WHO-INTEGRATE Evidence to Decision Framework. * Systems science methods applied in group decision-making methods and tools in the context of pandemic crisis. * Descriptive Analytics applied in group decision-making methods and tools in the context of a pandemic crisis. * Predictive Analytics applied in group decision-making methods and tools in the context of a pandemic crisis. * Prescriptive Analytics applied in group decision-making methods and tools in the context of a pandemic crisis. * Efficient, effective, and usable MADM methods for enhancing GDMSS. * System Science methods (System Dynamics, Agent-based Simulation, and Network Analysis) for enhancing GDMSS. SUBMISSION PROCEDURE: Researchers and practitioners are invited to submit papers for this special theme issue on Group Decision-Making Support Systems for Pandemic Crises on or before December 15, 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. PUBLICATION SCHEDULE: * first submission deadline - December 15, 2020 * first editorial decision deadline - February 15, 2020 * second version submission deadline (conditioned papers) - March 15, 2020 * definitive editorial decision deadline - April 15, 2020 * camera-ready paper submission deadline - May 15, 2020 All inquires and paper submission should be directed to the attention of: Prof. Manuel Mora – lead guest editor International Journal of Decision Support Technology (IJDSST) E-mail: jose.mora(a)edu.uaa.mx<mailto:jose.mora@edu.uaa.mx> * * * * * * _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] BigDat 2020 Autumn: early registration June 2
by Gustaf Neumann 25 May '20

25 May '20

-------- Forwarded Message -------- Subject: [WI] BigDat 2020 Autumn: early registration June 2 Date: Mon, 25 May 2020 05:34:45 +0200 From: IRDTA <irdta(a)irdta.eu> Reply-To: IRDTA <irdta(a)irdta.eu> To: wi(a)lists.kit.edu BigDat 2020 Autumn: early registration June 2 *To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************** 7th INTERNATIONAL SCHOOL ON BIG DATA BigDat 2020 Autumn Beersheba, Israel October 25-29, 2020 Co-organized by: Ben-Gurion University of the Negev Department of Software and Information Systems Engineering Data Science Research Center Institute for Research Development, Training and Advice (IRDTA) Brussels / London https://irdta.eu/bigdat2020a/ ********************************************** --- Early registration deadline: June 2, 2020 --- ********************************************** SCOPE: BigDat 2020 Autumn will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona. Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 24 four-hour and a half courses, 2 keynote lectures and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2020 Autumn 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: BigDat 2020 Autumn will take place in Beersheba, the largest city in the Negev desert of southern Israel and an important technology center. The venue will be: Ben-Gurion University of the Negev Marcus Family Campus https://in.bgu.ac.il/en/Pages/interactive.aspx 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: tba PROFESSORS AND COURSES: (to be completed) Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data Thomas Bäck & Hao Wang (Leiden University), [introductory/intermediate] Data Driven Modeling and Optimization for Industrial Applications Paul Bliese (University of South Carolina), [introductory/intermediate] Using R for Mixed-effects (Multilevel) Models Altan Cakir (Istanbul Technical University), [intermediate] Big Data Analytics with Apache Spark Edward Chang (Stanford University), [intermediate] Artificial Intelligence for Disease Diagnosis and Precision Surgery Michael X. Cohen (Radboud University Nijmegen), [introductory] Dimension Explosion and Dimension Reduction in Brain Electrical Activity Ian Fisk (Flatiron Institute), [introductory] The Infrastructure to Support Data Science Michael Freeman (University of Washington), [intermediate] Interactive Data Visualization Using D3 + Observable David Gerbing (Portland State University), [introductory] Derive Meaning from Data with R Visualizations Yifan Hu (Yahoo Research), [introductory/advanced] Data Visualization and Machine Learning Wagner A. Kamakura (Rice University), [intermediate] Advanced Business Analytics using Excel Addins Ravi Kumar (Google), [intermediate/advanced] Clustering for Big Data Victor O.K. Li (University of Hong Kong), [intermediate] Deep Learning and Applications Panos Pardalos (University of Florida), [intermediate/advanced] Optimization and Data Sciences Techniques for Large Networks Valeriu Predoi (University of Reading), [introductory] A Beginner's Guide to Big Data Analysis: How to Connect Scientific Software Development with Real World Problems Alexandre Vaniachine (VirtualHealth), [intermediate] Open-source Columnar Databases Sebastián Ventura (University of Córdoba), [intermediate/advanced] Supervised Descriptive Pattern Mining Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Deep Learning for Text Mining 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 October 17, 2020. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by October 17, 2020. EMPLOYER SESSION: Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by October 17, 2020. ORGANIZING COMMITTEE: Stavi Baram (Beersheba) Mark Last (Beersheba) Carlos Martín-Vide (Tarragona, program chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) Lior Rokach (Beersheba, co-chair) Bracha Shapira (Beersheba, co-chair) David Silva (London, co-chair) REGISTRATION: It has to be done at https://irdta.eu/bigdat2020a/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. Refunding of registration fees will not be possible. However, an exception will be made in case the event must be postponed due to the continuation of the coronavirus crisis in Autumn (which is a scenario the organizers do not expect). 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: Ben-Gurion University of the Negev 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] CfP - Journal of Digital Science
by Gustaf Neumann 22 May '20

22 May '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP - Journal of Digital Science Date: Fri, 22 May 2020 15:38:52 +0500 From: Sergey Orlov <s.orlov4860(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear Authors, We welcome submissions for the Journal of Digital Science. Journal of Digital Science (JDS) is an international peer-reviewed journal which aims at the latest ideas, innovations, trends, experiences and concerns in the field of digital science covering all areas of the scholarly literature of the sciences, social sciences. The main topics covered include: Artificial Intelligence Research; Digital Agriculture, Economics, Education, Engineering, Finance, Health Care, Law, Media, Medicine, Pharma, Public Administration, Public Health, Technology&Applied Sciences; Educational Sciences; History; Mathematics; Philosophy; Social Problem-solving. The main goal of this journal is to efficiently disseminate original findings generated by human brain with utilizing modern information/digital technologies. Each published articles will be indexed by DOI and ORCID. You can submit your paper via Submission Form on https://ics.events/journal-of-digital-science/. Submissions deadline is May 25, 2020. Journal of Digital Science (JDS) is published by Institute of Certified Specialists two times a year. https://ics.events _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 2nd Call for Chapters: Handbook of Research on Big Data and Learning Analytics
by Gustaf Neumann 22 May '20

22 May '20

-------- Forwarded Message -------- Subject: [AISWorld] 2nd Call for Chapters: Handbook of Research on Big Data and Learning Analytics Date: Fri, 22 May 2020 09:41:57 +0100 From: Ana Azevedo <ana.azevedo(a)gmail.com> To: aisworld-request(a)lists.aisnet.org CC: aisworld(a)lists.aisnet.org, Ana Azevedo <aazevedo(a)iscap.ipp.pt> Propose a chapter: https://www.igi-global.com/publish/call-for-papers/submit/4651 Editors *Ana Azevedo*, CEOS.PP / ISCAP / P.PORTO, Portugal *José Azevedo*, CEOS.PP / ISCAP / P.PORTO, Portugal *James Uhomoibhi*, Ulster University, United Kingdom *Ebba Ossiannilsson*, Swedish Association for Distance Education (SADE), Sweden Call for Chapters Proposals Submission Deadline: June 15, 2020 Full Chapters Due: August 11, 2020 Submission Date: December 4, 2020 Introduction Learning Analytics is a topic of growing interest in the research communities. INFORMS defined analytics as the scientific process of transforming data into insights with the purpose of making better decisions. Being grounded on the area of decision support systems, the area of analytics has got a vast range of applications. One important application concerns educational environment, where the three types of analytics, namely, descriptive, predictive, and prescriptive are being applied. Nowadays, the term Learning Analytics is used in the context of the use of Analytics in eLearning environments. Learning Analytics is vastly used in order to improve quality. It uses data about students and their activities in order to provide better understanding and to improve students’ learning. The use of LMS, where the activity of the students’ can be easily accessed, potentiated the use of Learning Analytics to understand their route during the learning process, thus they can be helped to improve during that process. A competent use of Learning Analytics can be helping students to be aware of their progress, thus enabling students to take control of their own learning. Another important use of Learning Analytics relates to the detection of situations where the students can give up of the course before its completion, which is one important problem in eLearning environments. Authors are welcome to submit papers, and to discuss theory, research issues or applications. Objective The primary objective of this book is to provide insights concerning the use of Learning Analytics. This is a cutting edge and an important topic that deserves reflexion, and this book is an excellent opportunity to do so. The proposed book shall: - report on the role and impact of learning analytics training and development in education. - accept research contributions which reports on how various stakeholders are engaged in the design, deployment and assessment of successful and sustainable learning analytics. These contributions could be theoretical, methodological, empirical and technical. Factors affecting Learning Analytics would be considered to include: - human factors in learning analytics systems - geographical (brick & mortar versus virtual) - technical/technological factors - analytics tools - ethical and legal factors of the use of Learning Analytics Target Audience Teachers, professionals in the area of Learning Analytics, senior managers, researchers, academicians, practitioners, and graduate students, are the target of this book. Recommended Topics Relevant topics include, but are not limited to: • Pedagogical and Educational Perspectives • Techniques and methods for Learning Analytics • Impact of Learning Analytics • Feedback for students • Software for Learning Analytics • Adaptive Learning • Learning Metrics • Ethical and legal issues • Analytics in e-assessment applications • Educational Mining • Virtual and Remote Experiments Based Learning • Learning in Mixed Environments • Innovative learning Spaces • Quality related issues based on Learning Analytics • Others considered relevant to this area Submission Procedure Researchers and practitioners are invited to submit on or before *June 16, 2020*, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by *April 27, 2020* about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by *August 11, 2020*, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to 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. Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Handbook of Research on Big Data and Learning Analytics. All manuscripts are accepted based on a double-blind peer review editorial process. All proposals should be submitted through the eEditorial Discovery®TM online submission manager. Publisher This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com <https://www.igi-global.com/publish/call-for-papers/call-details/www.igi-glo…>. This publication is anticipated to be released in 2021. Important Dates *June 16 , 2020*: Proposal Submission Deadline *April 27, 2020*: Notification of Acceptance *August 11, 2020*: Full Chapter Submission *October 09, 2020*: Review Results Returned *November 6, 2020*: Revisions Due From Authors *November 20, 2020*: Final Acceptance Notification *December 04, 2020*: Final Chapter Submission Inquiries *Ana Azevedo* CEOS.PP / ISCAP / P.PORTO aazevedo(a)iscap.ipp.pt Classifications Computer Science and Information Technology; Education; Library and Information Science; Social Sciences and Humanities; Science and Engineering _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] HICSS 54 CFP on open science practices in information systems research
by Gustaf Neumann 21 May '20

21 May '20

-------- Forwarded Message -------- Subject: [WI] HICSS 54 CFP on open science practices in information systems research Date: Wed, 20 May 2020 23:12:59 +0000 From: Cathal Doyle <cathal.doyle(a)vuw.ac.nz> Reply-To: Cathal Doyle <cathal.doyle(a)vuw.ac.nz> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> Kia ora (Hello) We’re delighted to announce we’re running a minitrack at HICSS 54 on open science practices in information systems research. The objective of this minitrack is to give researchers the opportunity to present novel and innovative ways that they are conducting research using open science. In doing so we aim to push the boundary of how IS research is conducted and communicated to the community. In order to do so, we are looking for both conceptual and empirical papers that either further our understanding of open science in IS research, or studies that practice it. Thus, we invite papers that focus on (but is not limited to) any of the following topics around open science in IS research: * Philosophical considerations * Ethical implications * Methodological considerations * Papers that practice one (or more) concepts of open science in their study * Registered reports in IS research (can be either stage 1 or stage 2) * Understanding of different platforms/tools for practicing open science You can read more on the HICSS website: https://hicss.hawaii.edu/tracks-54/collaboration-systems-and-technologies/#… If you’re interested, please submit a paper for review. If not, could you please forward this message to your networks, or to other colleagues you think might be interested. Further, here are links to two papers that provide a good introduction to open science: “We need the open artefact: Design Science as a pathway to Open Science in Information Systems research” (https://doi.org/10.31219/osf.io/ye6xp) and “This paper is an artefact: On open science practices in design science research using registered reports” (https://doi.org/10.31219/osf.io/d8hej). And here is a paper practicing open science that was accepted for JAIS: “New Guidelines for Null Hypothesis Significance Testing in Hypothetico-Deductive IS Research” (https://doi.org/10.31235/osf.io/5qr7v). If you have any questions please feel free to contact me. Ngā mihi (Kind regards) Cathal Cathal Doyle, Ph.D. Lecturer School of Information Management Victoria University of Wellington Open science framework profile: https://osf.io/v9y6q/ ResearchGate: https://www.researchgate.net/profile/Cathal_Doyle2 Website: http://cathaldoyle.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: [WI] FCA4AI at ECAI 2020 - New dates
by Gustaf Neumann 21 May '20

21 May '20

-------- Forwarded Message -------- Subject: [WI] FCA4AI at ECAI 2020 - New dates Date: Wed, 20 May 2020 23:00:18 +0200 (CEST) From: Amedeo Napoli <amedeo.napoli(a)loria.fr> Reply-To: Amedeo Napoli <amedeo.napoli(a)loria.fr> To: Sergei Kuznetsov <skuznetsov(a)yandex.ru>, Sebastian Rudolph <sebastian.rudolph(a)tu-dresden.de>, Amedeo Napoli <amedeo.napoli(a)loria.fr> =========================================================================== -- FCA4AI (Eighth Edition) -- What can FCA do for Artificial Intelligence? co-located with ECAI 2020, Santiago de Compostela, Spain August 30 2020 http://www.fca4ai.hse.ru/2020 =========================================================================== Note about the organization of the FCA4AI 2020 workshop: At the moment we do not know whether the ECAI Conference will go virtual or not. In any case, the FCA4AI 2020 workshop will run as smoothly and as lively as possible. The aim is to gather the FCA4AI community and to allow every potential author or interested researcher to attend the workshop either locally or remotely. General Information about FCA4AI 2020. The preceding editions of the FCA4AI Workshop (from ECAI 2012 until IJCAI 2019) showed that many researchers working in Artificial Intelligence are indeed interested by powerful techniques for classification and data mining provided by Formal Concept Analysis. Again, we have the chance to organize a new edition of the workshop in Santiago de Compostela, co-located with the ECAI 2020 Conference. Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. FCA allows one to build a concept lattice and a system of dependencies (implications and association rules) which can be used for many AI needs, e.g. knowledge processing, knowledge discovery, knowledge representation and reasoning, ontology engineering as well as information retrieval, recommendation, social network analysis and text processing. Thus, there are many ``natural links'' between FCA and AI. Recent years have been witnessing increased scientific activity around FCA, in particular a strand of work emerged that is aimed at extending the possibilities of plain FCA w.r.t. knowledge processing, such as work on pattern structures and relational context analysis, as well as on hybridization with other formalisms. These extensions are aimed at allowing FCA to deal with more complex than just binary data, for solving complex problems in data analysis, classification, knowledge processing... While the capabilities of FCA are extended, new possibilities are arising in the framework of FCA. As usual, the FCA4AI workshop is dedicated to discuss such issues, and in particular: - How can FCA support AI activities in knowledge discovery, knowledge representation and reasoning, machine learning, natural language processing... - By contrast, how the current developments in AI can be integrated within FCA to help AI researchers to solve complex problems in their domain. TOPICS OF INTEREST include but are not limited to: - Concept lattices and related structures: description logics, pattern structures, relational structures. - Knowledge discovery and data mining with FCA: association rules, itemsets and data dependencies, attribute implications, dimensionality reduction, classification, clustering, and biclustering. - Pattern mining, subgroup discovery, exceptional model mining, interestingness measures, MDL-based approaches in data mining. - Machine learning and hybridization: neural networks, random forests, SVM, and combination of classifiers with FCA. - Knowledge engineering, knowledge representation and reasoning, and ontology engineering. - Scalable and distributed algorithms for FCA and artificial intelligence, and for mining big data. - AI tasks based on FCA: information retrieval, recommendation, social network analysis, data visualization and navigation, pattern recognition... - Practical applications in agronomy, biology, chemistry, finance, manufacturing, medicine... The workshop will include time for audience discussion for having a better understanding of the issues, challenges, and ideas being presented. IMPORTANT DATES: Submission deadline: June 21 2020 Notification to authors: July 20 2020 Final version: August 03 2020 Workshop: August 30 2020 SUBMISSION DETAILS: The workshop welcomes submissions in pdf format in Springer's LNCS style. Submissions can be: - technical papers not exceeding 12 pages, - system descriptions or position papers on work in progress not exceeding 6 pages. Submissions are via EasyChair at https://easychair.org/conferences/?conf=fca4ai2020 The workshop proceedings will be published as CEUR proceedings (see preceding editions in CEUR Proceedings Vol-2529, Vol-2149, Vol-1703, Vol-1430, Vol-1257, Vol-1058, and Vol-939). WORKSHOP CHAIRS: Sergei O. Kuznetsov National Research University Higher Schools of Economics, Moscow, Russia Amedeo Napoli Université de Lorraine, CNRS, Inria, LORIA, Nancy, France Sebastian Rudolph Technische Universität Dresden, Germany PROGRAM COMMITTEE (under construction) =========================================================================== -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [AISWorld] CfP Seniors' Use of Digital Resources - HICSS-54: January 5-8, 2021, Kauai, Hawaii
by Gustaf Neumann 21 May '20

21 May '20

-------- Forwarded Message -------- Subject: [AISWorld] CfP Seniors' Use of Digital Resources - HICSS-54: January 5-8, 2021, Kauai, Hawaii Date: Thu, 21 May 2020 13:58:31 +0000 From: Gewald, Heiko Professor Dr. <Heiko.Gewald(a)hnu.de> To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org> Dear colleagues, as you may have read today: HICSS 54 is scheduled to be held at the original dates on Kauai. So get your awesome research ready and submit it to our track! You go a month longer to do so: New submission deadline: July 15th 2020! We invite papers that address the grand challenges ahead by providing insights (IS Research) and suggesting innovative solutions (Design Science Research). How can digital resources, including electronic health (eHealth) and mobile health (mHealth) be used to help to provide health and wellness related services for the aging generation? The minitrack is open to a broad variety of research, conceptual or empirical. Topics of interest include (but are not limited to): * Age-related digital divide in the IS discipline * Age-related roles and stereotypes with respect to technology * Specific IT/IS-adoption patterns of the elderly * Online and mobile health platforms and communities for seniors * The impact of e- and m-health, virtual communities, and social media on the well-being of seniors * Theories and research frameworks for investigating age-related IS phenomena * Methodological challenges of investigating elderly people’s technology usage * Impact of technology training on technology adoption and usage * Effective design of technology for elderly people * Factors influencing technology/e-health/m-health adoption and usage of seniors * Technology design factors influencing technology adoption and diffusion by seniors * Computer and Internet self-efficacy of seniors * Technostress of elderly people * Success factors, barriers and risks of technology adoption by seniors * Understanding of elderly people’s technology needs and requirements * User interface design, usability and accessibility issues * Integration of elderly people in the design of technology * Visions for future technologies for seniors * Meta-analyses and meta-syntheses of research on elderly people in various IS phenomena * Novel and innovative research on technology for seniors * Trust and distrust of elderly people in e- and m-health * Changes in personality characteristics and its impact on adoption of technology July 15, 2020: Paper Submission Deadline (11:59 pm HST) August 17, 2020: Notification of Acceptance/Rejection We are looking forward to meeting you on Kauai Karoly, Doug & Heiko --------------- Prof. Dr. Heiko Gewald - Research Professor of Information Management - Honorary Professor, Macquarie University, Sydney, Australia - Director of CROSS - Center for Research on Service Sciences Neu-Ulm University of Applied Sciences (HNU) Wileystr. 1 89231 Neu-Ulm Germany Mail: heiko.gewald(a)hnu.de<mailto:heiko.gewald@hnu.de> Member of the Editorial Board of Health Policy and Technology Member of the Editorial Advisory Board for the Journal of Global Operations and Strategic Sourcing _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] IEEE ICDM 2020 - Call for Workshop Papers (deadline Aug 24)
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [AISWorld] IEEE ICDM 2020 - Call for Workshop Papers (deadline Aug 24) Date: Wed, 20 May 2020 14:25:13 -0500 From: Carson Leung (IEEE ICDM 2020) <icdm(a)cs.umanitoba.ca> To: aisworld(a)lists.aisnet.org IEEE ICDM 2020 - Call for Workshop Papers (deadline Aug 24) ICDM 2020: 20th IEEE International Conference on Data Mining November 17-20, 2020, Sorrento, Italy http://icdm2020.bigke.org/ The safety and well-being of all conference participants is our priority. We closely monitor the current COVID-19 situation. Depending on the situation, we will have the conference either as planned in Sorrento, Italy or as an online event. In any case, all deadlines and the conference dates remain the same. The Program Chairs and other organizers will post more information as soon as possible. AIMS AND SCOPE The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, and applications. ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as big data, deep learning, pattern recognition, statistical and machine learning,databases, data warehousing, data visualization, knowledge-based systems, and high-performance computing. By promoting novel, high-quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to advance the state-of-the-art in data mining. ACCEPTED WORKSHOPS SENTIRE: Sentiment Elicitation from Natural Text for Information Retrieval and Extraction - Erik Cambria <cambria(a)ntu.edu.sg> DMS: Data Mining for Service - Katsutoshi Yada <kansai-u.ac.jp> NeuRec: Advanced Neural Algorithms and Theories for Recommender Systems - Shoujin Wang <shoujinwang(a)foxmail.com> OEDM: Optimization Based Techniques for Emerging Data Mining - Shi Yong < yshi(a)ucas.ac.cn> LITSA: Large-scale Industrial Time Series Analysis - Florent Forest < forest(a)lipn.univ-paris13.fr> HDM: High Dimensional Data Mining - Ata Kaban <A.Kaban(a)cs.bham.ac.uk> TEAAM: Transparent, Explainable and Affective Data Mining in Medical Systems - Slawomir Nowaczyk <Slawomir.Nowaczyk(a)hh.se>> DL-IoT: Deep Learning for Internet of Things - Yunji Liang < liangyunji(a)nwpu.edu.cn> DDIF: Deep Data Intelligence for Finance - Fuxiang Chen <cfuxiang(a)gmail.com> CLEATED: Continual Learning and Adaptation for Time Evolving Data - Yun Sing <y.koh(a)auckland.ac.nz> DLC: Deep learning and clustering - Lazhar Labiod <l.labiod(a)gmail.com> DL-CTI: Deep Learning for Cyber Threat Intelligence - Hsinchun Chen (Riley McIsaac) <hsinchun(a)email.arizona.edu> MSDM: Multi-source data mining - Armelle Brun <armelle.brun(a)loria.fr> BDA: Blockchain Data Analytics - Cuneyt Gurcan Akcora < cuneyt.akcora(a)umanitoba.ca> MLCS: Multilingual Cognitive Services - Yihong Theis <yihong(a)ksu.edu> IMAGINE: Interpretable Machine leArninG models for bio and chemoINformatics and medicine - Rui Camacho <rcamacho(a)fe.up.pt> DMBIH: Data Mining in Biomedical Informatics and Healthcare - Mohammad-Reza Siadat <siadat(a)oakland.edu> UDML: Utility Driven Mining and Learning - Vincent S. Tseng < vtseng(a)cs.nctu.edu.tw> BigData4SmartEnergy: Big Data Analysis for Smart Energy - Ho-Jin Choi < hojinc(a)kaist.ac.kr> DHA: Data Mining for Healthy Aging - Reynold CS <ckcheng(a)cs.hku.hk> MLLD: Mining and Learning in the Legal Domain - Shohreh Shaghaghian < shohreh.shaghaghian(a)thomsonreuters.com> SSTDM: Spatial and Spatio-Temporal Data Mining - Ranga Raju Vatsavai < rrvatsav(a)ncsu.edu> IncrLearn: Incremental classification and clustering, concept drift, novelty detection in big/fast data context - Jean-Charles Lamirel < lamirel(a)loria.fr> DM-HT-D: Novel Data Mining Methods for the Analysis of High-Throughput Biological Data - Giuseppe Agapito <agapito(a)unicz.it> DMESS: Data Mining in Earth System Science - Forrest M. Hoffman < forrest(a)climatemodeling.org> BSDM: Blockchain Systems for Decentralized Mining - Qiang Qu < qiang(a)siat.ac.cn> DLKT: Deep Learning for Knowledge Transfer - Fuzhen Zhuang < zhuangfuzhen(a)ict.ac.cn> PMC: Privacy Management in the Cyberspace - Mahmoud Barhamgi < mahmoud.barhamgi(a)univ-lyon1.fr> SUBMISSION GUIDELINES Paper submissions should be limited to a maximum of eight (8) pages, in the IEEE 2-column format ( https://www.ieee.org/conferences/publishing/templates.html), including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity. The following sections give further information for authors. Triple blind submission guidelines Since 2011, ICDM has imposed a triple blind submission and review policy for all submissions. Authors must hence not use identifying information in the text of the paper and bibliographies must be referenced to preserve anonymity. Any papers available on the Web (including Arxiv) no longer qualify for ICDM submissions, as their author information is already public. What is triple blind reviewing? The traditional blind paper submission hides the referee names from the authors, and the double-blind paper submission also hides the author names from the referees. The triple-blind reviewing further hides the referee names among referees during paper discussions before their acceptance decisions. The names of authors and referees remain known only to the PC Co-Chairs, and the author names are disclosed only after the ranking and acceptance of submissions are finalized. It is imperative that all authors of ICDM submissions conceal their identity and affiliation information in their paper submissions. It does not suffice to simply remove the author names and affiliations from the first page, but also in the content of each paper submission. How to prepare your submissions The authors shall omit their names from the submission. For formatting templates with author and institution information, simply replace all these information items in the template by "Anonymous". In the submission, the authors should refer to their own prior work like the prior work of any other author, and include all relevant citations. This can be done either by referring to their prior work in the third person or referencing papers generically. For example, if your name is Smith and you have worked on clustering, instead of saying "We extend our earlier work on distance-based clustering (Smith 2005)," you might say "We extend Smith's earlier work (Smith 2005) on distance-based clustering." The authors shall exclude citations to their own work which is not fundamental to understanding the paper, including prior versions (e.g., technical reports, unpublished internal documents) of the submitted paper. Hence, do not write: "In our previous work [3]" as it reveals that citation 3 is written by the current authors. The authors shall remove mention of funding sources, personal acknowledgments, and other such auxiliary information that could be related to their identities. These can be reinstituted in the camera-ready copy once the paper is accepted for publication. The authors shall make statements on well-known or unique systems that identify an author, as vague in respect to identifying the authors as possible. The submitted files shall be named with care to ensure that author anonymity is not compromised by the file names. For example, do not name your submission "Smith.pdf", instead give it a name that is descriptive of the title of your paper, such as "ANewApproachtoClustering.pdf" (or a shorter version of the same). Algorithms and resources used in a paper should be described as completely as possible to allow reproducibility. This includes experimental methodology, empirical evaluations, and results. Authors are strongly encouraged to make their code and data publicly available whenever possible. In addition, authors are strongly encouraged to also report, whenever possible, results for their methods on publicly available datasets. Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. There is no separate abstract submission step. There are no separate industrial, application, short paper or poster tracks during submission. Manuscripts must be submitted electronically in online submission system ( http://wi-lab.com/cyberchair/2020/icdm20/scripts/ws_submit.php?subarea=S). We do not accept email submissions. ATTENDANCE ICDM is a premier forum for presenting and discussing current research in data mining. Therefore, at least one author of each accepted paper must complete the conference registration and present the paper at the conference, in order for the paper to be included in the proceedings and conference program. All deadlines are at 11:59PM Pacific Daylight Time. * Workshop paper submissions: August 24, 2020 * Workshop paper notification: September 17, 2020 * Camera-ready deadline and copyright forms: September 24, 2020 * Conference dates: November 17-20, 2020 WORKSHOP CHAIRS * Giuseppe Di Fatta, University of Reading, UK * Victor Sheng, Texas Tech University, USA PUBLICITY CHAIRS * Ting Bai, Beijing University of Posts and Telecommunications, China * Carson K. Leung, University of Manitoba, Canada * Washio Takashi, Osaka University, Japan MORE INFORMATION More information about ICDM 2020: http://icdm2020.bigke.org/ Email: icdm2020chairs(a)gamil.com _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CFP TIME-2020 - new deadline
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [WI] CFP TIME-2020 - new deadline Date: Wed, 20 May 2020 19:39:25 +0200 From: Enrico Franconi <franconi(a)inf.unibz.it> Reply-To: Enrico Franconi <franconi(a)inf.unibz.it> To: wi(a)aifb.uni-karlsruhe.de [Apologies for cross-posting] *New Submission Deadline* - Paper Submission deadline: May 24th, 2020 ================= 3rd CALL FOR PAPERS - TIME 2020 ============= *27th International Symposium on Temporal Representation and Reasoning* Bozen-Bolzano (Italy), 23th-25th September 2020 https://time2020.inf.unibz.it/ Co-Located with the Bolzano Summer of Knowledge 2020 https://summerofknowledge.inf.unibz.it/ ==================================================== Foremost, the TIME 2020 organizing committee hopes you are all in good health! We announce that TIME 2020, co-located with BOSK 2020, will allow for virtual attendance. Thus, the paper submission and the selection process will run just as expected, and physical participation in the symposium will not be a prerequisite for publication. Whether the symposium will allow also a physical attendance will be decided in the coming weeks together with the BOSK 2020 organizers. Reduced registration fees will be allowed for virtual participants. We thuswarmly invite you all again to submit your papers to TIME 2020. STAY SAFE! Invited Speakers ---------------- Clare Dixon (University of Liverpool, UK) Pedro Cabalar (University of Corunna, Spain) Johann Eder (Alpen-Adria Universität Klagenfurt, Austria) Aims & Scope ------------ Since 1994, the TIME International Symposium on Temporal Representation and Reasoning aims to bring together researchers in the area of temporal reasoning in Computer Science. TIME 2020 encompasses three tracks, but has a single program committee. The conference will be organized as a combination of technical paper presentations, keynote talks, and tutorials. Tracks ------ - Time in Artificial Intelligence - Temporal Databases - Temporal Logic and Reasoning Following a long-standing tradition, submission topics include (but are no limited to): - Temporal aspects of agent and policy-based systems - Spatial and temporal reasoning- Time in natural language processing - Spatio-temporal knowledge representation systems - Reasoning about actions and change - Planning and planning languages - Ontologies of time and space-time - Belief and uncertainty in temporal knowledge - Temporal learning and discovery - Temporal data models and query languages - Temporal query processing and indexing - Temporal data mining - Time series data management - Stream data management - Spatio-temporal data management, including moving objects - Data currency and expiration - Indeterminate and imprecise temporal data - Temporal constraints - Specification and verification of systems - Verification of web applications - Synthesis and execution - Model-checking algorithms and implementations - Verification of infinite-state systems - Reasoning about transition systems - Other aspects of temporal architectures Submission & Publication ---------------------------- TIME 2020 accepts submissions in PDF format, not longer than 12 pages excluding references and appendix. The appendix is limited to 5 pages, and the reviewers may or may not take it into account for their recommendation. Submissions must be formatted following the LIPIcs instructions (https://submission.dagstuhl.de/documentation/authors), and preferably redacted in LaTex. Submissions are managed by EasyChair: https://easychair.org/my/conference?conf=time2020. TIME policy is single-blind, so the names of the authors should not be hidden in the submitted draft. Members of the program committee, excluding the co-chairs, are allowed to submit papers. Submitted papers will be refereed for quality, correctness, originality, and relevance to the conference. Submissions to TIME 2020 must be original, and parallel submissions of the same material to other conferences or journals are not allowed. Accepted papers will be presented at the symposium and included in the proceedings, which will be published by LIPIcs-Leibniz International Proceedings in Informatics (https://www.dagstuhl.de/en/publications/lipics/). This is a series of high-quality peer-reviewed conference proceedings and published according to the principle of OpenAccess. At least one author of each accepted paper must register at the conference and present the paper. Authors of selected papers will be invited to submit an extended version of their contribution to a special issue of a high-quality journal yet to be decided. Important Dates (New Submission) ----------------------------------------------- - Papers due (abstracts & full-texts): May 24th, 2020 - Notification: June 21th, 2020 - Final camera-ready version: July 5th, 2020 - Early bird registration: July 26th, 2020 - Conference: September 23th-25th, 2020 Program Committee Chairs ------------------------------ Emilio Muñoz-Velasco (University of Málaga) Ana Ozaki (Free University of Bozen-Bolzano) Martin Theobald (University of Luxembourg) Program Committee ------------------ Alexander Artikis (NCSR Demokritos – Athens) Klaus Berberich (Saarland University of Applied Sciences) Camille Bourgaux (CNRS – Ecole Normale Supérieure) Panagiotis Bouros (University of Mainz) Anton Dignoes (Free University of Bozen-Bolzano) Clare Dixon (University of Liverpool) Johann Gamper (Free University of Bozen-Bolzano) Rajeev Gore (Australian National University – ANU) Víctor Gutiérrez-Basulto (Cardiff University) Fredrik Heintz (Linköping University) Jean Christoph Jung (University of Bremen) Roman Kontchakov (Birkbeck, University of London) Marco Montali (Free University of Bozen-Bolzano) Cláudia Nalon (University of Brasilia) Daniel Neider (Max Planck Institute) Kjetil Nørvåg (University of Trondheim) Manuel Ojeda-Aciego (Universidad de Málaga) Hector Pomares (Universidad de Granada) Dimitris Sacharidis (Technical University of Vienna) Stephan Schlüter (Technische Hochschule Ulm) Guido Sciavicco (University of Ferrara) Local Chairs ------------ Alessandro Artale (Free University of Bozen-Bolzano) artale(a)inf.unibz.it Johann Gamper (Free University of Bozen-Bolzano) gamper(a)inf.unibz.it General contact for all inquiries concerning the conference: time2020(a)unibz.it -- 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 contributions - 7th International Conference on Animal-Computer Interaction (ACI2020)
by Gustaf Neumann 20 May '20

20 May '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for contributions - 7th International Conference on Animal-Computer Interaction (ACI2020) Date: Wed, 20 May 2020 18:00:14 +0100 From: Dirk van der Linden <djt.vanderlinden(a)gmail.com> To: aisworld(a)lists.aisnet.org CALL FOR CONTRIBUTIONS ACI2020: the 7th International Conference on Animal-Computer Interaction 10-12 November, Milton Keynes, UK In co-operation with ACM (Association for Computing Machinery) and SIGCHI (Special interest Group on Computer-Human Interaction) www.aciconf.org #aci2020conf <https://twitter.com/search?q=%23aciconf2020> ABOUT ACI is the main International Conference on Animal-Computer Interaction. It is a highly multidisciplinary event drawing researchers and practitioners from the most diverse backgrounds to share and discuss work and topics related to the research and design of technology for and with animals. COVID-19 update Due to the ongoing pandemic, it will be possible to register to attend the conference virtually for a reduced fee (go to http://www.aciconf.org/aci2020/attendees for more details). Submission deadlines for all tracks remain unchanged, but for papers and workshops the submission requirements have changed to ensure that authors can submit their work and present it at the conference in spite of the disruption caused by the pandemic (follow the links below to see the submission and presentation requirements for each track). SUBMISSION DATES - Full and short papers <http://www.aciconf.org/aci2020/authors/papers> May 31, 2020 (extended abstracts) - Workshop proposals <http://www.aciconf.org/aci2020/authors/workshops> May 31, 2020 (physical and virtual events) - Videoposters and demos <http://www.aciconf.org/aci2020/authors/videopostersdemos> August 14, 2020 (abstracts and videos) - Doctoral consortium <http://www.aciconf.org/aci2020/authors/doctoralconsortium%3E%20(submission%…> August 21, 2020 (abstracts and letters) All submissions will undergo a double blind review and will be selected based on the quality of their contribution. Each submission will be reviewed by a minimum of 3 reviewers drawn from the program committee and from a panel of domain experts. Accepted papers will be published in the ACI2020 Conference Proceedings Volume which will be *published in the ACM Digital Library*. The ACI2020 submission portal <https://new.precisionconference.com/submissions> is now open. When you get there, under the 'Society' menu choose SIGCHI, then under the 'Conference/Journal' menu choose ACI2020 and the appropriate track for your submission. THEME & TOPICS This year's conference theme is ‘embodied dialogues’. Although specifically focussed, the theme is very broad in the connections that can be made from multiple angles, in order to encourage engagement with and contributions to the conference from a wide range of multidisciplinary and interdisciplinary perspectives. Submissions that relate to this year's conference theme are especially welcome, but high quality submissions are welcome regardless. Topics may include (but are not limited to): - support interspecies communication - improve humans’ understanding of other animals and their needs - enable humans to take better care of other animals - support animals in activities they do for humans - reduce interspecies conflicts and the impact of human activity on animals - foster ecologically and ethically sustainable forms of interspecies interaction and cohabitation. - studying and theorizing the interaction between animals and technology in naturalistic settings - developing user-centered technology to improve animals’ welfare, support animals' activities and foster interspecies relationships - informing animal-centered approaches that enable animals to participate in the design process as stakeholders and contributors. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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