IDAMS2021: Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 EDOC 2021 Gold Coast, Australia, October 25, 2021 |
Submission link | https://easychair.org/conferences/?conf=idams2021 |
Abstract registration deadline | August 31, 2021 |
Submission deadline | August 31, 2021 |
EDOC 2021 Workshop IDAMS 2021: Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0
Workshops Chairs
Yoshimasa Masuda, Keio University, Japan, and Carnegie Mellon University, USA, yoshi_masuda@keio.jp, and ymasuda@andrew.cmu.edu
Alfred Zimmermann, Reutlingen University, Germany, alfred.zimmermann@reutlingen-university.de
Rainer Schmidt, Munich University of Applied Sciences, Germany, rainer.schmidt@hm.edu
Important Dates
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Workshop paper submission: 31 August 2021
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Workshop papers acceptance notification: 20 September 2021
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Workshop camera-ready papers due: 27 September 2021
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Author registration: 27 September 2021
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Workshops sessions: 25 October 2021
Workshop Description
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.
Topics
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Digitalization of Products, Services, Processes, Systems, and Enterprises
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Dynamic Capabilities and Digital Enterprise Models
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Digital Strategy, Governance, and Management
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Digital Enterprise Architectures
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AIDAF – Adaptive Integrated Digital Architecture Framework
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Security in Digital Architectures
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Architectural Patterns for Digitalization and Intelligent Analytics
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Customer Experience and Interaction Design
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Runtime Monitoring of Operation Data
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Digital Platforms and Ecosystems
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Advanced Analytics and Decision Support for Digital Enterprises
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Cognitive Models for Decision Support
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Artificial Intelligence Problem Solving for Digitalization
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Intelligent Systems and Services
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Deep Learning and Machine Learning
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Semantic Support, Knowledge Representation and Inference Technologies
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Rationality and Explanation Technologies
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User Roles and Human-centered Problem Solving and Learning
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Digital Visualization, Interaction, and Augmented Reality
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Multi-perspective Architectural Viewpoints, Methods, and Environments
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Self-optimizing and Resilient Adaptive Systems
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Adaptive Software Architectures
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Gill Framework: Adaptive Enterprise Architecture
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Decision Support Processes and Frameworks
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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.
Program Committee
Marco Aiello, University of Stuttgart, Germany
Karlheinz Blank, T-Systems International, Germany
Oliver Bossert, McKinsey&Company, Gemany
Abdellah Chehri, University of Quebec at Chicoutimi, Canada
John Gøtze, IT University of Copenhagen, Denmark
Junichi Iijima, Japan
Dierk Jugel, Reutlingen University, Germany
Dimka Karastoyanova, University of Groningen, Netherlands
Birger Lantow, University of Rostock, Germany
Yohimasa Masuda, Keio University, Japan, Carnegie Mellon University, USA
Michael Möhring, Munich University of Applied Sciences, Germany
Kurt Sandkuhl, University of Rostock, Germany
Rainer Schmidt, Munich University of Applied Sciences, Germany
Christian Schweda, Reutlingen University, Germany
Seiko Shirasaka, Keio University, Japan
Milan Simic, RMIT University, Australia
Andreas Speck, Christian-Albrechts-University Kiel, Germany
Ulrike Steffens, Hamburg University of Applied Sciences, Germany
Janis Stirna, Stockholm University, Sweden
Asif Gill, University of Technology Sydney, Australia
Hironori Takeuchi, Musahi University, Japan
Murlikrishna Viswanathan, Carnegie Mellon University, Australia
Matthias Wissotzki, Wismar University of Applied Sciences, Germany
Shuichiro Yamamoto, Nagoya University, Japan
Alfred Zimmermann, Reutlingen University, Germany
Workshop Chairs
Yoshimasa Masuda has 14 years of experience in the enterprise in many industries. He earned a Ph.D. degree from Keio University. He had experienced many global projects, international assignments in IBM. He started up the global enterprise architecture in Global Pharmaceutical company and worked as Sr. IT Director in Global Robotics company in 2019, and started the “Global Digital Strategy Group” in NTT Data group, Institute of Management Consulting as Senior Management. He is an associate professor (specially appointed) at Keio University since the latter of 2019. He completed the Executive Education (MoT) at MIT in 2011, and he has joined Carnegie Mellon University since 2018. His research interests are enterprise architecture in the digital era, digital healthcare, IT management. Yoshimasa Masuda is the author of the successful AIDAF – Adaptive Integrated Digital Architecture Framework and the book Enterprise Architecture for Global Companies in a Digital IT Era.
Alfred Zimmermann is a professor of computer science for digital enterprise architecture at Reutlingen University, Germany. He is the director of research and speaker of the doctoral program for services computing at the Herman Hollerith Center Boeblingen, Germany. His research is focused on digital transformation and digital enterprise architecture with decision analytics in close relationship with digital strategy and governance, software architecture and engineering, artificial intelligence, data analytics, Internet of Things, services computing, and cloud computing. He graduated in Medical Informatics at the University of Heidelberg, Germany, and earned his Ph.D. in Informatics from the University of Stuttgart, Germany. Besides his academic experience, he has a strong practical background as a technology manager and leading consultant at Daimler AG, Germany. Alfred Zimmermann is co-organizer of several workshops and general chair of the international conference HCIS – Human-Centered Intelligent Systems, as well as editor/author of the Springer book – Architecting the Digital Transformation.
Rainer Schmidt is a professor of business information systems at Munich University of Applied Sciences. He holds a Ph.D. (KIT Karlsruhe) and an engineering degree in Computer Science. His current research areas include artificial intelligence, social information systems, business process management, and the integration of these themes. Rainer Schmidt has led several successful projects in the field of artificial intelligence. They include the detection of exceptional situations and their management in data centers, the automatic configuration of services according to objectives such as reliability and energy efficiency, and the structural analysis and optimization of IT systems. Rainer Schmidt is co-organizer of the BPMDS working conference at CAISE, the BPMS2 workshop series at BPM'08 to BPM’19, the SoEA4EE workshop series at EDOC since 2009, the IDEA workshop series at BIS, associate editor at WI 2017, and a member of the program committee of several workshops and conferences. Rainer Schmidt is editor/author of the Springer book – Architecting the Digital Transformation.