Cfp March 2021

cfp@alice.wu.ac.at

1 participants
118 discussions

Fwd: [AISWorld] CFP: Deep Learning, Big Data and Blockchain
by Gustaf Neumann 26 Mar '21

26 Mar '21

-------- Forwarded Message -------- Subject: [AISWorld] CFP: Deep Learning, Big Data and Blockchain Date: Thu, 25 Mar 2021 20:41:40 +0000 From: Deep-BDB <deepml.info(a)gmail.com> To: aisworld(a)lists.aisnet.org ----------------------- Call for Papers ----------------------------- The 2nd International Conference on Deep Learning, Big Data and Blockchain (DEEP-BDB 2021) (Springer Series) 23-25 August 2021, Rome, Italy http://www.ficloud.org/deep-bdb/2021/ ----------------------------------------------------------------------- Deep and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. All such fields produce and consume massive amount of big data, which include, for example, online commerce data (marketing data, customer reviews, customer relationship), transportation data (road sensors, cameras, GPS), and data about healthcare, social media, and various other applications. Deep learning techniques and big data techniques yield useful outputs in predicting, discovering and acquiring insights and deeper knowledge about events for better and efficient decision making. The groundbreaking technology of blockchain technology also enable decentralization, immutability, and transparency of data and applications. It has been exploited in modern research and industrial domains in order to achieve high level of trust, security and reliable execution of applications and data which are shared across a network of computers. The International Conference on Deep Learning, Big Data and Blockcain (DEEP-BDB) aims to enable synergy between these areas and to provide a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Topics of interest include (but not limited to): - Deep/Machine learning based models - Statistical models and learning - Data analysis, insights and hidden pattern - Data analysis and decision making - Data wrangling, munching and cleaning - Data integration and fusion - Data visualization - Data and information quality - Security threat detection - Visualizing security threats - Enhancing privacy and trust - Data mining; Information extraction; - Sentiment analysis - Data classification and clustering - Knowledge acquisition and learning - Clustering, classification and regression - Supervised and unsupervised learning - Blockain security and trust - Blockchain data management - Data & application reliability - Blockchain and data distribution - Blockain and finacial transactions - Blockchain and Bitcoin applications - Blockain and NoSQL databases - Protocols for blockchain - Cryptography, Cryptocurrency - Fraud detection and prevention - Blockchain and Internet of Things - Scalability of blockchains Application areas: - Finance, business and retail - Intelligent transportation - Healthcare and clinical decision support - Bioinformatics and biomedical informatics - Computer vision - Human activity recognition - Cybersecurity - Natural language processing - Recommender systems - Social media and networks Important Dates: Submission Deadline (Extended): 31 March 2021 Authors Notification: 20 May 2021 Final Manuscript Due: 15 June 2021 Conference Venue: The organizing committee is carefully monitoring the Covid-19 situation. The safety and well-being of the conference participants is the main priority. The committee will confirm by Spring 2021 of whether to hold the conference onsite in Rome or as an online event. Paper Submission: Papers must be written in English. Full papers should be limited to 12 pages. Short papers should be limited to 8 pages. Papers must be formatted in Springer's format. See Information for Authors of Springer Proceedings ( https://www.springer.com/us/authors-editors/conference-proceedings/conferen… ). All papers accepted for this conference are peer-reviewed and are to be published by Springer in the Advances in Intelligent Systems and Computing series. Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceeding Submission:of papers are done through the EasyChair submission system. See conference website for further details. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CfP - Workshop Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS)
by Gustaf Neumann 26 Mar '21

26 Mar '21

-------- Forwarded Message -------- Subject: [AISWorld] CfP - Workshop Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS) Date: Thu, 25 Mar 2021 19:16:49 +0000 From: Rainer Schmidt <Rainer.Schmidt(a)live.com> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Call for Papers - Workshop Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS) The digital transformation of global industries and value chains and the associated need for structured research and standardization has given rise to major global and national initiatives. These initiatives address the potentials and challenges of digitalization. Enterprises and societies currently face crucial challenges, while Industry 4.0 becomes important in the global manufacturing industry all the more. Industry 4.0 offers a range of opportunities for companies to increase the flexibility and efficiency of production processes. The development of new business models can be promoted with digital platforms and architectures for Industry 4.0. Industry 4.0 is dedicated to research for industry and supports the implementation of this vision, especially in manufacturing companies. According to the Japanese government, Society 5.0 is more general and can be defined as a fusion between cyberspace and physical space, addressing economic progress aligned with solving social problems by providing goods and services to meet repeated latent needs regardless of location, age, gender, or language. Contemporary advances in the field of artificial intelligence have led to a rapidly growing number of intelligent systems that can operate entirely independently of human intervention or enables interactions of unprecedented complexity with humans. Data plays a central role in intelligent digital architecture and allows to automate decisions impacting all stakeholders. The use of artificial intelligence techniques enables autonomous decisions that were previously reserved for humans. Intelligent systems augment processes by creating automated interfaces to human beings and replacing human-decision making by a machine-based one. Intelligent digital architectures support the request, configuration, and fulfillment of services. Digitalization promotes the creation of intelligent systems and services with an intelligent digital architecture. Products based on intelligent digital architectures become aware of their environment, act upon it, are able to interact with human beings, and can change their functionality during their lifetime. Based on intelligent digital architecture products and services have local autonomous and dynamically extensible capabilities by accessing external services. Platforms become feasible by matching the supply and demand of services, resources, and products. Intelligent Digital Architectures also enable and enhance business models by integrating resources and leveraging decision making in unprecedented ways, for instance, by applying Digital Enterprise Architecture Framework such as the Adaptive Integrated Digital Architecture Framework (AIDAF). Public discourse on 'autonomous' algorithms which work on 'passively' collected data contributes to this view. The EDOC Workshop - Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 - covers fundamental and practical aspects to support the digital transformation. This disruptive change interacts with all information processes and systems, which are important business enablers for digital transformation for years. Intelligent digital architectures enable intense interaction with customers and products. The customer is closely integrated with business processes and interacts like a co-worker by using implicit touchpoints, which are provided by mobility and wearable systems and the Internet of Things. In this way, customer experience is fostered with disruptive transformation and continuous improvement. We are delighted to invite contributions to the EDOC Workshop - Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0. Our aim is to provide a platform for researchers and practitioners to discuss both technological and business aspects in the context of digital architectures, methods, processes, services, products, platforms, and business models. We also investigate how intelligent digital architectures support new ways of value co-creation for Industry 4.0 and Society 5.0. Important Dates Workshop paper submission: 18 June 2021 Workshop papers acceptance notification: 16 July 2021 Workshop camera-ready papers due: 30 July 2021 Author registration: 30 July 2021 Workshops sessions: 25 October 2021 Submission https://easychair.org/conferences/?conf=idams2021 Topics Digitalization of Products, Services, Processes, Systems, and Enterprises Dynamic Capabilities and Digital Enterprise Models Digital Strategy, Governance, and Management Digital Enterprise Architectures AIDAF - Adaptive Integrated Digital Architecture Framework Security in Digital Architectures Architectural Patterns for Digitalization and Intelligent Analytics Customer Experience and Interaction Design Runtime Monitoring of Operation Data Digital Platforms and Ecosystems Advanced Analytics and Decision Support for Digital Enterprises Cognitive Models for Decision Support Artificial Intelligence Problem Solving for Digitalization Intelligent Systems and Services Deep Learning and Machine Learning Semantic Support, Knowledge Representation and Inference Technologies Rationality and Explanation Technologies User Roles and Human-centered Problem Solving and Learning Digital Visualization, Interaction, and Augmented Reality Multi-perspective Architectural Viewpoints, Methods, and Environments Self-optimizing and Resilient Adaptive Systems Adaptive Software Architectures Gill Framework: Adaptive Enterprise Architecture Decision Support Processes and Frameworks Intelligent Digital Applications: Digitized Cars, Smart Finance, Smart City, Smart Home, Smart Medicine, Smart Energy, Industry 4.0, 3-D Printing and Production Environments, Robots, etc. Workshops Chairs Yoshimasa Masuda, Keio University, Japan, and Carnegie Mellon University, USA, yoshi_masuda(a)keio.jp<mailto:yoshi_masuda@keio.jp>, and ymasuda(a)andrew.cmu.edu<mailto:ymasuda@andrew.cmu.edu> Alfred Zimmermann, Reutlingen University, Germany, alfred.zimmermann(a)reutlingen-university.de<mailto:alfred.zimmermann@reutlingen-university.de> Rainer Schmidt, Munich University of Applied Sciences, Germany, rainer.schmidt(a)hm.edu<mailto:rainer.schmidt@hm.edu> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP: International Conference on Secure Knowledge Management
by Gustaf Neumann 25 Mar '21

25 Mar '21

-------- Forwarded Message -------- Subject: [AISWorld] CFP: International Conference on Secure Knowledge Management Date: Thu, 25 Mar 2021 12:50:20 +0000 From: Shah, Ankit <ankitshah(a)usf.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleagues, Please consider submitting your papers at this conference. You will find the details below. Thank you. Sincerely, Ankit International Conference on Secure Knowledge Management: Call for Papers With the advent of revolutionary technologies such as artificial intelligence, machine learning, cloud computing, big data, and IoT; Secure Knowledge Management (SKM) continues to be an important research area that deals with methodologies for systematically gathering, organizing, and disseminating information in a secure manner. The recent development of Artificial Intelligence (AI) in the security arena shows a promising future, and there is no doubt that AI can provide new ideas and tools for SKM. Therefore, this conference on SKM will bring together researchers & practitioners from academia, industry, and government on a global scale. The scope and focus of SKM-2021 conference are to present and discuss the most recent innovations, trends, and concerns including practical challenges encountered and solution adopted with special emphasis on AI. SKM 2019 was held in BITS Pilani, Goa Campus, Goa, India and past iterations of SKM were held at SUNY at Buffalo, SUNY Albany, NYU, SUNY Stony Brook, UT Dallas, Rutgers University, BITS Dubai, and University of South Florida. Following the biennial tradition of the Secure Knowledge Management Workshop that began in 2004, SKM-2021 (https://www.secure-km.org/) will be held during October 8 – 9, 2021, at the Courtyard by Marriott on the Riverwalk in San Antonio. Papers offering novel research contributions in all aspects of SKM are solicited for submission. Topics of interest include, but are not limited to: * SKM in specific technology domains such as: * Artificial Intelligence * Data mining and Machine Learning * Hybrid Cloud Computing * Big Data in Collaborative Environment * Internet of Things * Cyber-Physical Systems * Healthcare * Online Social Networks * Role of SKM in Design of Secure Systems * Role of SKM in General Data Protection Regulation * SKM for Digital Payments * Risk & Security Metrics for Knowledge Management * SKM for Insider Threat Detection and Mitigation * Knowledge Management for Fake News Detection * Trust concerning Knowledge Management Submission Guidelines Only original papers should be submitted. Submissions should not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without a review. Paper Format * All submissions must be in English and should adhere to the LNCS/CCIS format guidelines: * Guidelines for proceedings authors (pdf)<ftp://ftp.springernature.com/cs-proceeding/svproc/guidelines/Springer_Guide…> * LaTeX2e Proceedings Templates (zip)<ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip> * CCIS Consent form for the publication<https://www.secure-km.org/SKM-2019/files/Consent_Form.pdf> * Including references and appendices, full paper should be 10-20 pages in the LNCS<https://www.springer.com/gp/computer-science/lncs> / CCIS<https://www.springer.com/series/7899> one-column page format. * To facilitate the double-blind paper evaluation, authors are kindly requested to submit the paper WITHOUT any self-reference to any of the authors anywhere in the paper, including the acknowledgments section of the paper and any other reference that may disclose the authors’ identity. * Papers should be uploaded to EasyChair<https://easychair.org/conferences/?conf=skm2019> in PDF format only. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail. Each paper should clearly indicate the nature of its technical/scientific contribution and the problems, domains or environments to which it is applicable. It is planned to publish the peer-reviewed and selected papers of conference as proceedings with Springer in their prestigious Communications in Computer and Information Science<https://www.springer.com/series/7899> series (Scopus and DBLP indexed). Some selected papers presented at the conference will be invited for extension and further review for a fast-tracked special issue of Information Systems Frontiers<https://link.springer.com/journal/10796> (SCIE, Scopus and DBLP indexed) a Springer journal. Authors of registered papers (including posters) must guarantee that their papers will be presented at the conference. At least one FULL registration is mandatory for each accepted paper. Papers which are not presented will be excluded from the conference proceedings. Camera Ready Paper Submission Guidelines Please send the following files to EasyChair (https://easychair.org/conferences/?conf=skm2021) before July 26, 2021. * A single pdf file of the final paper. * A zip file containing all the source files (LNCS/CCIS latex format) of the final paper. * Authors response to reviewer's comments. * Duly signed “Consent to Publish Form”. * Email subject: Final Camera Ready Paper (PaperID). * Registration fee transaction receipt/screenshot. Key Dates * Paper Submission Deadline: June 21, 2021 * Acceptance Notification: July 12, 2021 * Camera Ready Deadline: July 26, 2021 * Early Bird Registration: Before August 10, 2021 * Standard Registration: After August 10, 2021 * Conference Dates: October 8 – 9, 2021 === Ankit Shah, Ph.D. Assistant Professor, Industrial and Management Systems Engineering Courtesy Assistant Professor, Computer Science and Engineering University of South Florida 4202 E. Fowler Ave. Mail-Stop: ENG-030 Tampa, FL 33620-5530 Phone: 813-974-5584 Email: ankitshah(a)usf.edu<mailto:ankitshah@usf.edu> === _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 1st CFP: Book: Handbook of Research on Foundations and Applications of Intelligent Business Analytics
by Gustaf Neumann 25 Mar '21

25 Mar '21

-------- Forwarded Message -------- Subject: [AISWorld] 1st CFP: Book: Handbook of Research on Foundations and Applications of Intelligent Business Analytics Date: Thu, 25 Mar 2021 10:53:15 +1100 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org CC: Maria Rohde <mrohde(a)igi-global.com> 1ST CALL FOR BOOK CHAPTERS BOOK: Handbook of Research on Foundations and Applications of Intelligent Business Analytics EDITED BY PROF. DR. ZHAOHAO SUN AND PROF. DR. ZHIYOU WU TO BE PUBLISHED BY IGI Global, USA HTTPS://WWW.IGI-GLOBAL.COM/PUBLISH/CALL-FOR-PAPERS/CALL-DETAILS/5211 <https://www.igi-global.com/PUBLISH/CALL-FOR-PAPERS/CALL-DETAILS/5211> or http://wikicfp.com/cfp/servlet/event.showcfp?eventid=128907&copyownerid=494… Introduction We are living in the age of big data, analytics and artificial intelligence (AI). Intelligent business analytics as the integration of big data, analytics , and artificial intelligence for business has drawn increasing attention in academia and industries. Intelligent business analytics mainly includes intelligent business analytics systems, intelligent business analytics platform, intelligent business analytics services, intelligent business process analytics, intelligent human resource analytics, intelligent marketing analytics, business analytics intelligence, intelligent business analytics tools, advanced intelligent business analytics, intelligent customer analytics, intelligent traffic analytics, intelligent data analytics, intelligent health analytics, intelligent big data analytics and more. Intelligent business analytics is still an emerging discipline in academia although artificial intelligence (AI) and business analytics have become a hotspot in academia and industries. The following are still big research issues for developing intelligent business analytics based on our preliminary analysis: What is intelligent business analytics? What is the fundamental of intelligent business analytics? How can incorporate the latest intelligent techniques into business analytics applications? What are the applications of intelligent business analytics? What are the impacts of intelligent business analytics on intelligent business and business decision making? Objective of the book This book addresses the above-mentioned research issues by investigating into foundations, technologies, and applications of intelligent business analytics. This book is the first book on "Intelligent business analytics" that focuses on intelligent business, intelligent business analytics, intelligent analytics including intelligent big data analytics in the age of big data, analytics, and artificial intelligence. This book is the first book to reveal the cutting-edge theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way. This is also the first book demonstrating that intelligent business analytics is at the center of intelligent business, intelligent decision making, intelligent management, digital transformation, governance, and services in the digital age. Target audience This book?s primary aim is to convey the theoretical foundations, technologies, thoughts, and methods of intelligent business analytics with applications to scientists, engineers, educators and university students, business, service, and management professionals, policy-makers, decision-makers, and others who have an interest in big data, intelligent business, intelligent management, intelligent business analytics, AI, digital transformation, SMACS (service, mobile, analytics, cloud, social) business and intelligence, service, and data science. Primary audiences for this book are undergraduate, postgraduate students, and a variety of professionals in the fields of big data, analytics, intelligent business and management, data science, information science and technology, knowledge technology and engineering, intelligence science, AI, ICT, computing, commerce, business, services, management, and government. The variety of readers in the fields of government, consulting, marketing, business, and trade, as well as the readers from all the social strata, can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies, and applications of intelligent business analytics in the digital age. Recommended topics include, but are not limited to, the following We seek book chapters with original research that promotes theoretical and technical research as well as emerging applications of intelligent business analytics. Submissions that cross multiple disciplines such as management, service, business, AI, intelligent systems, computer science, data science, optimization, statistics, information systems, decision sciences, and industries to develop theory and provide technologies and applications that could move theory and practice forward in intelligent business analytics, are especially encouraged. Topics of Interest Topics of contributions to this book include four parts: foundations, technologies, applications and emerging technologies and applications of intelligent business analytics. Part I. Foundations of intelligent analytics Topics: fundamental concepts and theories, models/architectures, frameworks/mechanisms or foundations for developing, operating, evaluating, managing, and regulating intelligent analytics and intelligent business analytics. The following topics might include, but not limited to. 1. Intelligent business analytics as a science 2. A unified theoretical foundation of intelligent business analytics 3. Frameworks and mechanisms for intelligent business analytics 4. Business Intelligence, big data intelligence 5. Business analytics intelligence 6. Intelligent business analytics for big data, information, knowledge, intelligence, and wisdom processing 7. Intelligent business analytics ecosystems 8. Intelligent business analytics for automated decision making. 9. Intelligent business analytics and intelligent analytics 10. Computational foundations of intelligent business analytics 11. New computational models for big data analytics 12. Mathematical fundamentals of intelligent business analytics 13. Mathematical theory of intelligent analytics 14. Fuzzy logic approach to intelligent business analytics 15. ICT fundamentals for analytics 16. Business models for intelligent analytics 17. Real-time algorithms for intelligent business analytics 18. Intelligent business analytics thinking 19. Computing thinking for intelligent analytics 20. Business processes flow-oriented intelligent analytics 21. Big data science 22. Data preparation and data visualization 23. Machine learning and deep learning for intelligent business analytics 24. Data and text mining for intelligent business analytics 25. Intelligent warehouses, intelligent mining, intelligent statistical modelling 26. Data visualization for intelligent business analytics 27. Intelligent visualization of data, models, and insights 28. Statistical modelling for intelligent business analytics 29. Intelligent reporting 30. Optimization for big data, information, knowledge, intelligence, and wisdom 31. AI, Ethic AI, Explainable AI, and responsible AI for business analytics process Part II. Technologies for intelligent analytics Topics: Tools and technologies for developing, operating, evaluating, managing, and regulating intelligent analytics and intelligent business analytics might include the following topics of interest, but not limited to. 1. Intelligent business analytics as a technology 2. Intelligent technology, computational technology, web technology, Internet technology, social networking technology, cloud technology, big data technology, IoT, and IoE (the Internet of everything) technology for business analytics 3. Intelligent business analytics systems 4. Intelligent business analytics services 5. Intelligent business analytics management 6. Intelligent enterprise analytics 7. Intelligent services analytics 8. Intelligent data visualization techniques for business analytics 9. Intelligent techniques for enterprise analytics and services analytics. 10. Business processes flow-oriented intelligent analytics 11. Rule-based systems 12. Neural networks 13. Fuzzy logic 14. Expert systems 15. Intelligent agents and multi-agent systems 16. Cased-based reasoning 17. Genetic algorithms 18. Data mining algorithms 19. Intelligent user interfaces 20. Knowledge management 21. Intelligent big data/information/knowledge technologies 22. Intelligent service technologies 23. Social networking technologies 24. Intelligent decision technologies 25. Cloud computing, IoT, and IoE 26. Intelligent business and management technologies 27. Intelligent analytics for Micro, Small & Medium Enterprises (MSMEs) 28. Optimization techniques for intelligent business analytics 29. Machine-to-machine communication. Part III. Applications of intelligent analytics Topics: Real-world applications and case studies for using foundations and technologies in Part I, II in various domains such as digital transformation, blockchain, 5G systems, SMACS business and services, intelligent drones, healthcare, smart cities, financial services, legal services, healthcare services, educational services, and military services taking into account intelligent descriptive, diagnostic, predictive and prescriptive analytics. The following topics might include, but not limited to. 1. Intelligent business analytics-based innovation and entrepreneurship 2. Intelligent analytics in business ecosystems 3. Intelligent business analytics with public and open data 4. Intelligent business analytics for market innovation 5. Intelligent business analytics for e-business 6. Intelligent business analytics for cloud computing 7. Intelligent business analytics for IoT and IoE 8. Intelligent business analytics for blockchain 9. Intelligent business analytics for 5G applications 10. Intelligent business analytics for business decision making 11. Intelligent healthcare analytics 12. Analytic flow-oriented business solutions 13. Intelligent business analytics for business model innovation 14. Big data analytics economics and business analytics economics 15. Intelligent business analytics for location intelligence 16. Big data management and intelligent business analytics 17. Marketing analytics, healthcare analytics, management analytics and HR analytics 18. Intelligent analytics in banking industry 19. Intelligent analytics in social networking services 20. Intelligent analytics for big data, information, knowledge, and wisdom 21. Cybersecurity and privacy in intelligent business analytics. 22. Intelligent analytics for management 23. Intelligent analytics for risk management 24. Organization analytics 25. Intelligent analytics-driven decision making 26. Analytics centric business and enterprise innovations 27. SME oriented intelligent business analytics 28. Academic analytics, teaching analytics, and learning analytics 29. Smart AI, intelligent business analytics adoption studies 30. Ethical issues related to intelligent business analytics 31. Risks in adoption and deployment of business analytics and enterprise analytics. 32. Challenges, trends, and controversies of intelligent analytics and business analytics Part IV. Emerging technologies and applications for intelligent business analytics Topics: Emerging cutting-edge technologies, methodologies, and applications for intelligent business analytics. The following topics of interest might also include, but not limited to. 1. Next-generation big data analytics 2. Next generation of intelligent business analytics 3. Intelligent business analytics for enhancing organization intelligence and market intelligence. 4. Emergent intelligent business analytics technologies 5. Emergent technologies for business analytics intelligence 6. Challenges, opportunities, and implications of intelligent big data analytics 7. Challenges, opportunities, and implications of intelligent enterprise analytics and market analytics 8. Challenges and opportunities for intelligent big information analytics 9. Challenges and opportunities for intelligent big knowledge analytics 10. Challenges and opportunities for intelligent analytics research 11. Challenges, opportunities, and dark-side of intelligent analytics applications 12. Ethic AI, explainable AI, and responsible AI for business analytics 13. Challenges and opportunities for intelligent analytics tools, platforms , and systems 14. Organisational and business innovation from AI and intelligent business analytics 15. Automated analytics process integration. Submission Procedure Researchers and practitioners are invited to submit on or before April 21, 2021, a chapter proposal of 150 to 2,00 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by April 30, 2021 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by May 19, 2021, and all interested authors must consult the guidelines for manuscript submissions at https://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 Foundations and Applications of Intelligent Business Analytics. All manuscripts are accepted based on a double-blind peer review editorial process. All proposals should be submitted through the eEditorial Discovery? online submission manager through clicking "Propose a chapter" at https://www.igi-global.com/publish/call-for-papers/call-details/5211. Submission Format and Evaluation Every book chapter submission should consist of 8,000-12,000 words, and be structured into sections including Abstract, Introduction, background (or related work), main sections, future research directions, conclusion, and references. Every book chapter must be submitted in Microsoft? Word and be typewritten in English in APA style based on the "manage source" and "insert citation" function. Every book chapter submission is original. Only ORIGINAL articles will be accepted for publication by IGI-Global. Upon acceptance of your book chapter, you will be required to sign a warranty that your book chapter is original and has NOT been submitted for publication or published elsewhere. All chapter submissions undergo a double-blind peer-review using the eEditorial Discovery? online submission manager. Conditioned accepted chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among: accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines. Important Dates - Mar 22, 2021, Release First CFP - Apr 21, 2021: 1st proposal submission deadline to the editor, - May 19, 2021: Submission deadline of the full chapters. - Oct 17, 2021: Review results due to authors - Nov 14, 2021: Revisions due from authors - Nov 28, 2021: Final acceptance/rejection notification due to authors - Dec 12, 2021: All final accepted materials due from authors. Editors' Information Prof. Dr. Zhaohao Sun, Ph.D. Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Morobe, PNG zhaohao.sun(a)gmail.com & Prof. Dr. Zhiyou Wu, Ph.D. School of Mathematical Sciences Chongqing Normal University, China zywu(a)cqnu.edu.cn Sun ----------------------- Prof. Dr. Zhaohao Sun, Ph.D. Director Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Private Mail Bag, Lae 411, Morobe, PNG Phone: +675 473 4406 Email: zhaohao.sun(a)pnguot.ac.pg <zsun(a)dbs.initech.ac.pg> or zhaohao.sun(a)gmail.com (private) Weixin ID: zsun3029939261 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [wkwi] CFP I HICSS I Addressing Diversity in Digitalization
by Gustaf Neumann 25 Mar '21

25 Mar '21

-------- Forwarded Message -------- Subject: [wkwi] CFP I HICSS I Addressing Diversity in Digitalization Date: Thu, 25 Mar 2021 08:45:34 +0100 From: Sundermeier, Janina <janina.sundermeier(a)fu-berlin.de> Reply-To: Sundermeier, Janina <janina.sundermeier(a)fu-berlin.de> To: wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de> CC: Yolande Chan <ychan(a)queensu.ca> Dear WI-Community, With the 'International Day for the Elimination of Racial Discrimination' and 'International Women’s Day‘, two holidays have recently been dedicated to raise awareness of still existing inequalities and to promote openness for more diversity on a societal, political and organizational level. Despite the importance of the ongoing digitalization in these regards, we only have a limited understanding of the relationship between digitalization and diversity. It is therefore worth asking whether digitalization can thereby be considered a ‘diversity-blind’ process and encouraging the generation of theoretical knowledge that can help to explain how digital technologies influence diversity (*digital impact on diversity*) and how digital technologies are shaped by diversity or the lack thereof (*diversity shaping digital technology*). Eventually, this understanding might help academics and practitioners alike in their efforts towards inclusive design and application processes that avoid the pitfalls such as machine learning algorithms in recruiting that discriminated against female applicants and facial recognition software that exhibited racial discrimination. We invite all scholars interested in these topics to submit their papers to our mini-track '*Addressing Diversity in Digitalization*‘ at the upcoming HICSS conference (submission deadline: 15 June). The track is not limited to a certain diversity dimension but we welcome contributions that consider demographic (e.g. age, gender, nationality, ethnicity), functional (e.g. education, work experience, religion, income) or deep-level (e.g. diseases, disabilities, traits, values, beliefs) attributes. For more information visit https://hicss.hawaii.edu/tracks-55/knowledge-innovation-and-entrepreneurial… <https://hicss.hawaii.edu/tracks-55/knowledge-innovation-and-entrepreneurial…> Warm regards Janina Sundermeier, Hannes Rothe and Yolande Chan — *Prof. Dr. Janina Sundermeier* Assistant Professor of Digital Entrepreneurship & Diversity Founder of Hello Diversity! Studio <http://www.hellodiversity.digital> and Digital Entrepreneurship Hub <http://www.de-hub.org> *Upcoming Events: * WoMenventures Summer School <http://www.womenventures.digital> (All genders welcome!) Addressing Diversity in Digitalization <https://hicss.hawaii.edu/tracks-55/knowledge-innovation-and-entrepreneurial…> (Research Track at Hawaiian Conference on System Sciences) *Freie Universität Berlin* Department of Information Systems Garystrasse 21, Room 304 14195 Berlin Tel: +49 (0)30 838 60139

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Fwd: [AISWorld] CFP - Human-AI Interaction @ SBSI 2021
by Gustaf Neumann 24 Mar '21

24 Mar '21

-------- Forwarded Message -------- Subject: [AISWorld] CFP - Human-AI Interaction @ SBSI 2021 Date: Wed, 24 Mar 2021 10:38:49 -0300 From: Flavio Horita <feahorita(a)gmail.com> To: sbc-l(a)sbc.org.br, sbc-si-l(a)sbc.org.br (* Apologies for possible cross-posting) CALL FOR PAPERS *17th Brazilian Symposium on Information Systems (SBSI 2021)* Jun 07-10, 2021, *Remote* https://sbsi2021.facom.ufu.br/pages/en/ Track: *Human-AI Interaction in the Era of Digitalization* https://sbsi2021.facom.ufu.br/pages/pt/trilha-aihuman.html Deadline: *Mar 29, 2021 (Hard)* * Track Description The 2019 Coronavirus pandemic has changed the lives of communities and organizations. For a very long time, digital technologies usage was limited to more restrictive and specific tasks, e.g., following weather conditions or chatting with colleagues. As new usage has been explored, most of them unthoughtful in the period pre-pandemic, these technologies have become fundamental to daily activities, e.g., medical appointments, company meetings and shopping goods. This movement towards a more effective usage of information technologies comprises the so-called Digital Transformation. Once these technologies can be used to digitize processes, they also generate further opportunities to improve the performance and effectiveness of social or organizational decision-making. Artificial Intelligence and Machine Learning thus become essential to process and gain insights from the large volume of data (i.e., Big Data) (Brynjolfsson & McAfee, 2014; Müller et al., 2018). This is why algorithms and models are capable of learning from historical (integrated) data, establishing and defining behaviour patterns and then make projects of future conditions. A new dynamic emerges from this interaction and has the potential to create deeper modifications not only on how technologies adapt to people but also on the information flows and social structures of interactions. A recent work defines three types of the relationship of AI and humans (Rai et al., 2019): task substitution (i.e., AI is responsible for a task); task augmentation (i.e., humans are combined with AI to perform a task or vice versa); and task assemblage (i.e., humans and AI are integrated to perform a task). Even though these relationships are recognized in practice and literature, they still require further investigation and research to understand their characteristics and elements, as well as to establish the success and failure factors. Existing literature also still lack empirical studies on the topic, specifically, in countries of the Global South. In this context, this track proposal seeks to gather researchers and practitioners interested in addressing open questions on the relationship between AI and humans in the Era of Digitalization. The track session will create an environment for discussing empirical, theoretical and conceptual results on the topics of interest. Eventually, the track will also provide a room for motivating collaborations among the participants around the future and open challenges on the topic. Track topics are therefore focused on but not limited to the following list. – Descriptive models on the relationship between AI and humans; – Responsible AI for digital transformation; – Theories applied to AI for digital transformation; – Methods, methodologies and processes applied to AI for digital transformation; – Institutionalization of AI within organizations and communities; – Humanized AI for digital transformation; – Impacts of AI with organizations and society; – Relationships of AI and humans for decision-making within organizations and society; – Success and failure factors of AI within organizations and society; – Relationships of AI and humans for addressing the Sustainable Development Goals of the United Nations; – Empirical, conceptual and theoretical studies; – Experiences from the digital government (e-Gov) and industry; – Studies applied to Global South and Latin America; – Secondary studies (e.g., literature review and mapping study) on the topic. * Important Dates – Submission deadline: 29/03/2021 – Decision notification: 26/04/2021 * Paper submission guidelines https://sbsi2021.facom.ufu.br/pages/en/track-aihuman.html * Track Chairs Dr. Flávio Horita Federal University of ABC (UFABC), Brazil flavio (at) horita (at) ufabc (dot) edu (dot) br Dr. João Baptista Warwick Business School (WBS), UK _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] 2nd CfP - FOIS 2021, September 13-16, Bozen-Bolzano, Italy
by Gustaf Neumann 24 Mar '21

24 Mar '21

-------- Forwarded Message -------- Subject: [WI] 2nd CfP - FOIS 2021, September 13-16, Bozen-Bolzano, Italy Date: Wed, 24 Mar 2021 17:36:19 +0100 From: Maria Hedblom <maria.m.hedblom(a)gmail.com> Reply-To: Maria Hedblom <maria.m.hedblom(a)gmail.com> To: Brodaric, Boyan (NRCan/RNCan) <boyan.brodaric(a)canada.ca> (Apologies for cross-posting) 12th International Conference on Formal Ontology in Information Systems (FOIS 2021), September 13-16, 2021 https://fois2021.inf.unibz.it/ <https://fois2021.inf.unibz.it/> ** additional submission instructions now available online ** -----------------------------------DEFINITION AND SCOPE-----------------------------------The FOIS conference is a meeting point for all researchers with an interest in formal ontology. Formal ontology is the systematic study of the types of entities and relations making up the domains of interest represented in modern information systems. The conference encourages new high-quality submissions on both theoretical issues and practical advancements: FOIS 2021 will have distinct tracks for foundational issues, ontology applicationsand domain ontologies. FOIS aims to be a nexus of interdisciplinary research and communication, inclusive of researchers from many domains engaging with formal ontology. Common application areas include conceptual modeling, database design, knowledge engineering and management, software engineering, organizational modeling, artificial intelligence, robotics, computational linguistics, the life sciences, bioinformatics and scientific research in general, geographic information science, information retrieval, library and information science, as well as the Semantic Web. FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA: http://iaoa.org/ <http://iaoa.org/>), which is a non-profit organization promoting interdisciplinary research and international collaboration in formal ontology. -----------------------------IMPORTANT DATES-----------------------------* Paper Submission Deadline: 22 April 2021* Notification: 25 June 2021* Camera-ready Papers: 19 July 2021* Conference Dates: 13-16 September 2021 -----------------------------LOCATION -----------------------------FOIS 2021 is planned as a hybrid event: there will be a physical meeting in Bozen-Bolzano, Italy, with a remote participation option. ------------------------------SUBMISSIONS------------------------------ FOIS 2021 seeks three types of full-length (14 page) high-quality papers on a wide range of topics: 1. Foundationalpapers address content-related ontological issues, their formal representation, and their relevance to some aspect of information systems. 2. Applicationpapers address novel methods and systems related to building, evaluating, or using ontologies, emphasizing the impact of ontology contents on the application. 3. Domain ontology papers describe a novel ontology for a specific realm of interest, clarifying ontological choices against requirements and foundational theory, and showing ontology use. Please refer to the FOIS 2021 Call For Paperspage for more details. As usual, the FOIS proceedings will be published by IOS Press. Related activities, such as workshops and tutorials, may specify different submission formats, for example, short papers or posters. Please refer to the FOIS 2021 Workshops and Tutorialspage for details about related activities. ------------------------------FORMAT------------------------------FOIS 2021 includes a number of activities: * FOIS conference * workshops * tutorials* an early career symposium* and more to come… ------------------------------KEYNOTES------------------------------* Nicola Guarino, ISTC-CNR, Italy * Arianna Betti, University of Amsterdam, The Netherlands * Stefan Schulz, Medical University of Graz, Austria ------------------------------TOPICS OF INTEREST------------------------------Areas of particular interest to FOIS include the following:Foundational Issues* Kinds of entities: particulars/universals, continuants/occurrents, abstracta/concreta, dependent entities/independent entities, natural objects/artifacts* Formal relations: parthood, identity, connection, dependence, constitution, causality, subsumption, instantiation* Vagueness and granularity* Space, time, and changeMethodological issues* Top-level vs. domain-specific ontologies* Role of reference ontologies* Ontology similarity, integration and alignment * Ontology modularity, contextuality, and evolution* Formal comparison among ontologies* Relationship with cognition, language, semantics, context * Ontologies and Knowledge Graphs Domain-specific ontologies* Ontology of physical reality (matter, space, time, motion etc.)* Ontology of biological reality (organisms, genes, proteins, cells etc.)* Ontology of mental reality and agency (beliefs, intentions, emotions, perceptions, cognition, etc.)* Ontology of artifacts, functions, capacities and roles* Ontology of social reality (institutions, organizations, norms, social relationships, artistic expressions etc.) Applications* Ontology-driven information systems design* Ontological foundations for conceptual modeling* Knowledge management* Qualitative modeling* Computational linguistics* Information retrieval* Semantic Web* Business modeling * Ontologies and Machine Learning * Ontologies and Explainable AI* Ontologies for particular scientific disciplines (biology, chemistry, geography, physics, geoscience, cognitive sciences, linguistics etc.)* Ontologies for engineering: shape, form and function, artifacts, manufacturing, design, architecture etc.* Ontologies for the humanities: arts, cultural studies, history, literature, philosophy, etc. * Ontologies for the social sciences: economics, law, political science, anthropology, archeology, -- 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] Social Information Systems and Platforms: Designing Complexity Minitrack HICSS 55
by Gustaf Neumann 24 Mar '21

24 Mar '21

-------- Forwarded Message -------- Subject: [AISWorld] Social Information Systems and Platforms: Designing Complexity Minitrack HICSS 55 Date: Tue, 23 Mar 2021 18:09:09 +0000 From: Rainer Schmidt <Rainer.Schmidt(a)live.com> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Call for Papers Social Information Systems and Platforms: Designing Complexity Minitrack HICSS 55 https://hicss.hawaii.edu/tracks-55/digital-and-social-media/#social-informa… Papers from HICSS 54 https://scholarspace.manoa.hawaii.edu/handle/10125/72172 Social information systems combine social media technologies and principles of open collaboration. They comprise a large variety of software including social networking platforms, online/content communities, collaborative project management tools collaborative technologies, blogs, wikis, and sites for crowdsourcing being among the well-known. They can be defined as information systems that support emergent interactions such as weak ties, social production, egalitarianism, and mutual service provisioning. The objective of this minitrack is to promote the scientific exchange on social information systems and platforms regarding the economic, organizational, and technological challenges. Possible themes are, but are not limited to: • How can organizations leverage social information systems and platforms to create business value (e.g., in productivity or cost efficiencies)? • How may emergent interactions be assessed and measured (quantitatively, qualitatively)? • How are social information systems and platforms designed and what are suitable methodologies in particular for strategic alignment? • How can network effects be fostered on social information systems and platforms? • What approaches exist to cope with the complexity of social information systems and platforms? • Which actions could be used to foster emergent interactions if a certain dimension of the business value should be strengthened? • How may social information systems improve business processes and workflows beyond increasing business value (e.g. by including meaning and engagement for users or stakeholders)? • How can actors be motivated to participate in social information systems and platforms? • How does the use of a specific social information system influence the organization and its strategy? • Is it possible to contain and prevent potential negative developments via organizational learning? • Which types of emerging interactions are used in which applications? • Which (new) business models are enabled by social information systems and how is this accomplished? • How are social information systems used to create platforms and exchanges? • What is the relationship between social networking and transaction platforms? • How does the context (technological, organizational, political, cultural, situational…) of social information systems influence them? • Which social impacts are created by social information systems and which societal influences impact information systems? • How are information systems helpful and/or harmful in societal crisis (pandemics etc.)? Selected papers will be invited for a fast-track in Electronic Markets – The International Journal on Networked Business. Important Dates April 15 Paper submission system reopened for HICSS-55 June 15 Papers due August 17 Notification of Acceptance/Rejection September 22 Deadline for Authors to Submit Final Manuscript for Publication October 1 Deadline for at least one author of each paper to register for HICSS-55 Author Instructions https://hicss.hawaii.edu/authors/ Minitrack Co-Chairs: Rainer Schmidt (Primary Contact) Munich University of Applied Sciences Rainer.Schmidt(a)hm.edu Rainer Alt Leipzig University rainer.alt(a)xn--unileipzig-st6e.de Selmin Nurcan University Paris 1 Panthéon Sorbonne nurcan(a)xn--univparis1-tt6e.fr _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] [IEEE ICHMS 2021] Call for Special Tracks: 2nd IEEE Intl. Conf. on Human-Machine Systems
by Gustaf Neumann 23 Mar '21

23 Mar '21

-------- Forwarded Message -------- Subject: [AISWorld] [IEEE ICHMS 2021] Call for Special Tracks: 2nd IEEE Intl. Conf. on Human-Machine Systems Date: Tue, 23 Mar 2021 21:15:46 +0100 From: Andreas Nuernberger <andreas.nuernberger(a)ovgu.de> To: aisworld(a)lists.aisnet.org * Call for Special Tracks * 2nd IEEE International Conference on Human-Machine Systems (ICHMS 2021) Magdeburg, Germany, 8-10 September 2021 Conference Theme: Human Centered Systems for our Digital World https://www.ichms2021.de The 2021 IEEE International Conference on Human-Machine Systems (ICHMS) will be held in Magdeburg, Germany. ICHMS will provide a remarkable opportunity for the academic and industrial communities to address new challenges and share solutions, and discuss future research directions in the important area of Human-Machines Systems. The special tracks focus on well established “sub topics” of the Human Machine Systems research area – mainly driven by activities of the SMC Society HMS Technical Committees. The tracks are intended to collect contributions from the HMS community, focusing on topics such as Companion Technology, Brain-Machine Interfaces and Systems, Human-AI Interaction and Cognitive Computing & Engineering, Interactive and Wearable Computing and Systems, Collaborative Intelligent Systems and Applications and Human Factors Engineering. An open call for special tracks will enable researchers to enrich the conference program by inclusion of upcoming hot topics and will increase visibility in their community. Submitted papers will undergo the same review process as regular contributions. For further details on proposing a special track see: https://www.ichms2021.de/cfp#special-tracks * Deadlines * Continues call for Special Track Proposals until April 1, 2021. Proposed Special Tracks will be announced on a continuing basis as soon as accepted; so we welcome early submission to increase visibility. Deadline for submission of contributions for Regular Papers and Special Tracks: May 15, 2021 Financial and Technical Sponsorship: IEEE Systems, Man, and Cybernetics Society (https://www.ieeesmc.org/) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Artificial Intelligence-based Assistants Minitrack HICSS 55
by Gustaf Neumann 23 Mar '21

23 Mar '21

-------- Forwarded Message -------- Subject: [AISWorld] Artificial Intelligence-based Assistants Minitrack HICSS 55 Date: Tue, 23 Mar 2021 15:17:26 +0000 From: Schmidt, Rainer <rainer.schmidt(a)hm.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Call for Papers Artificial Intelligence-based Assistants Minitrack https://hicss.hawaii.edu/tracks-55/internet-and-the-digital-economy/#artifi… This minitrack intends to promote the scientific exchange on AI-based assistants for the Digital Economy. It serves as a platform for researchers to present and discuss innovative approaches, methodologies, models, processes, etc., to design, implement, deploy, operate and optimize AI-based assistants as well as their broader aspects such as platform and ecosystems of AI-based platforms. This minitrack deals with the following topics, but contributions can also be submitted on other topics. * Applications of AI-based assistants in the digital economy * Platforms and ecosystems of AI-based assistants * Methods and models to design, develop, implement, deploy, manage and monitor AI-based assistants * Methods, tools, and approaches to capture the user behavior e.g., process mining and derive recommendations for actions * New business models and processes based on AI-based assistants * Fundamental questions on the use of AI-based assistants * Research on the transparency of the behavior of AI-based assistants * Integration of AI-based assistants with services and platforms * Social and business implications of the use of AI-based assistants Selected papers will be invited for a fast-track in Electronic Markets - The International Journal on Networked Business. Important Dates April 15 Paper submission system reopened for HICSS-55 June 15 Papers due August 17 Notification of Acceptance/Rejection September 22 Deadline for Authors to Submit Final Manuscript for Publication October 1 Deadline for at least one author of each paper to register for HICSS-55 Author Instructions https://hicss.hawaii.edu/authors/ Minitrack Co-chairs: Rainer Schmidt (Primary Contact) Munich University of Applied Sciences Rainer.Schmidt(a)hm.edu Rainer Alt Leipzig University rainer.alt(a)xn--unileipzig-st6e.de Alfred Zimmermann Reutlingen University alfred.zimmermann(a)reutlingen-university.de _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Cfp March 2021