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SCBDADM 2018 - Smart Cities, Big Data Analytics and Digital Manufacturing (...

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Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

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Workshop on Smart Cities, Big Data Analytics and Digital Manufacturing: Inspiring New Organisational forms and Democratising the Means of Design Innovation and Production -SCBDADM 2018

19 - 21 March, 2018 - Funchal, Madeira, Portugal

In conjunction with the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS 2018



SCOPE


The concept of smart cities has emerged on the background of issues associated with liveable condition of growing urban population and urban planning. Hence the characteristic of smart cities involves solutions for air pollution, human health, traffic congestions, outdated urban infrastructure etc. A majority of suggested solutions revolve around ‘Big Data’ and ‘Analytics’ typically based on digital telecommunication networks, intelligence gathering, sensors and software involving ICT infrastructure. However it appears that smart city economy assumes that the economic activities of smart cities will be based on services. They have largely ignored manufacturing activities in their conceptualisation and implementation of smart cities. This is of major concern when additive production technologies along with ‘Big Data’ and physical and digital infrastructures could provide huge economic potential for urban population livelihood.

Technological innovations change future production models and the nature of work. The success of technology implementation depends on early involvement, a clear defined strategy and capabilities for digital transformation. The connected world of the Industrial Internet of Things provides great opportunities to develop new business models and expand existing products and services. This thematic area, which maps on closely to and moves beyond the notion of ‘Industry 4.0’. We anticipate that this workshop will include those from manufacturing, computing, digital economy, data science, human factors, sociology, business, design and psychology.

The workshop will bring together a network of researchers who will influence the future research direction, with a particular focus on widening the scientific community who are engaging with challenges associated with future manufacturing and its integration with smart city-big data analytics.

We particularly invite papers that explore a scenario of a technologically infused production system located close to consumption nodes (maker cities) and compare its resilience (capability and adaptability) against ‘scale-based’ global production systems. This includes the feasibility of digital manufacturing and big data analytics based on ‘maker’ urban spaces, ‘crowd-based’ creative factories, ‘dissolvable’ supply chains and employing crowds of digital labour.




Topics of Interest

Suggested paper topics include:
  • Design and Production Characteristics of Smart Cities.
  • Smart city data environments, innovative data capture (gamification, crowdsourcing).
  • Economic Challenges, Risks and Opportunities.
  • Emerging Production Technologies.
  • Supply chain design for emerging technologies.
  • Industrial case studies.
  • Linking production system to smart city.
  • Implementation of Smart City Production System (feasibility, vulnerability, acceptability resilience (adaptability and capability)).
  • Futuristic maker cities, the crowd-based creativity factory, dissolvable supply chains and digital labour.
  • Big data analytics enabled-business process innovation at the firm and supply chain levels.
  • Assessment of the effect of big data analytics on the decision-making processes in operations.
  • Assessment of facilitators and inhibitors of big data analytics adoption for supply chain management processes.
  • In-depth & longitudinal case studies and pilot studies on the implementation of IT infrastructure to support big data initiatives for improved operations management, lean & agile operations, quality management in operations and supply chain management.
  • Facilitation of innovative electronic business models and operations by using big data analytics in various sectors (e.g., healthcare, retail industry, and manufacturing) • Enabling smart cities, smart organizations and smart homes using big data analytics.
  • New theory development to explain the adoption and use of big data in operations at the organizational and inter-organizational levels.
  • Challenges related to big data analytics-enabled end-to-end supply chain transformation Democratizing means of design, manufacturing and industrial production.
  • Challenges and opportunities to new organizational forms and business models linked to big data, distributed manufacturing the industrial internet of things.
  • Developing approaches, protocols and resources for designers to effectively operate within sustainable local production ecosystems.
  • Democratizing production with communities and schools.
  • Developing approaches, protocols and resources for manufacturers to effectively operate within sustainable local production ecosystems.
  • Developing an understanding of the economics, business models, emerging organizational forms, building new production materiality’s, routes out of austerity and the value creation of sustainable local production ecosystems. This includes both technical and social sides/developments.
  • Building sociological experiments in the areas of distributed and biological manufacturing



IMPORTANT DATES

Paper Submission: January 11, 2018
Authors Notification: January 25, 2018
Camera Ready and Registration: February 2, 2018





SCOPE


The internet of things (IoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyse data and process information collaboratively in the service of individuals or organisations. The IoT network can generate large amounts of data in a variety of formats and using different protocols which can be stored and processed in the cloud. The conference looks to address the issues surrounding IoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IoT produces using machine learning and other advanced techniques, models and tools, and issues of security, privacy and trust that will emerge as IoT technologies mature and become part of our everyday lives.

Big Data (BD) has core values of volume, velocity, variety and veracity. After collecting much data from IoT, BD can be jointly used with machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it, since forecasting, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis.

Maintaining a high level of security and privacy for data in IoT are crucial and we welcome recommendations, solutions, demonstrations and best practices for all forms of security and privacy for IoT and BD.


CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. BIG DATA RESEARCH
2. EMERGING SERVICES AND ANALYTICS
3. INTERNET OF THINGS (IOT) FUNDAMENTALS
4. INTERNET OF THINGS (IOT) APPLICATIONS
5. BIG DATA FOR MULTI-DISCIPLINE SERVICES
6. SECURITY, PRIVACY AND TRUST
7. IOT TECHNOLOGIES




AREA 1: BIG DATA RESEARCH


  • Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks
  • Modeling, Experiments, Sharing Technologies & Platforms
  • SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
  • Analytics, Intelligence and Knowledge Engineering
  • Data Center Enabled Technologies
  • Sensor, Wireless Technologies, APIs
  • Networking and Social Networks
  • Data Management for Large Data
  • Security, Privacy and Risk
  • Software Frameworks (MapReduce, Spark etc) and Simulations
  • Modern Architecture
  • Volume, Velocity, Variety, Veracity and Value
  • Social Science and Implications for Big Data



AREA 2: EMERGING SERVICES AND ANALYTICS


  • Health Informatics as a Service (HIaaS) for any Type of Health Informatics, Computation and Services
  • Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
  • Big Data Algorithm, Methodology, Business Models and Challenges
  • Security as a Service including any Algorithms, Methodology and Software Proof-of-concepts
  • Financial Software as a Service (FSaaS) including Risk and Pricing Analysis; Predictive Modeling
  • Education as a Service (EaaS) including e-Learning and Educational Applications
  • Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data
  • Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for IoT and Big Data
  • Natural Science as a Service (NSaaS) including Weather Forecasting and Weather Data Visualization
  • System Design and Architecture
  • Mobile APIs, Apps, Systems and Prototype
  • Gaming as a Service (GaaS)
  • Framework (conceptual, logical or software)
  • Analytics as a Service (AaaS) for any Types of Analytics
  • Electronic, Logic, Robotic and Electrical Infrastructure, Platforms and Applications
  • Energy-saving and Green IT Systems or Applications
  • Middleware and Agents for IoT and Big Data, Grid and Cluster Computing
  • Integration as a Service (data; service; business; federated IoT and Big Data)
  • Scheduling, Service Duplication, Fairness, Load Balance for SaaS and Analytics
  • Tenant Application Development including Customization, Verification, Simulation, and testing on SaaS and Analytics
  • IaaS, PaaS and SaaS quality of service (QoS), security, reliability, availability, service bus mechanisms
  • Social Networks and Analytics
  • User Evaluations and Case Studies
  • IaaS, PaaS and SaaS, Big Data and Analytics demonstrations and Research Discussions from Computing Scientists, Business IS Academics and Industrial Consultants
  • Wireless Systems and Applications
  • e-Government, e-Commerce, e-Science and Creative Technologies for IoT and Big Data
  • Data as a Service and Decision as a Service
  • IoT Services and Applications
  • New Service Models
  • Software Engineering for Big Data Analytics
  • SOA based approaches to IoT BD
  • Social informatics, challenges and recommendations for IoT
  • Any emerging services



AREA 3: INTERNET OF THINGS (IOT) FUNDAMENTALS


  • Network Design and Architecture
  • Software Architecture and Middleware
  • Mobile Services
  • Data and Knowledge Management
  • Context-awareness and Location-awareness
  • Security, Privacy and Trust
  • Performance Evaluation and Modeling
  • Networking and Communication Protocols
  • Machine to Machine Communications
  • Intelligent Systems for IoT and Services Computing
  • Energy Efficiency
  • Social Implications for IoT
  • Future of IoT and Big Data



AREA 4: INTERNET OF THINGS (IOT) APPLICATIONS


  • Technological focus for Smart Environments
  • Next Generation Networks
  • Smart City Examples and Case Studies
  • Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
  • Architecture for secure and interactive IoT
  • Intelligent Infrastructure and Guidance Systems
  • Traffic Theory, Modeling and Simulation
  • Sensor Networks, Remote Diagnosis and Development
  • Transportation Management
  • Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City



AREA 5: BIG DATA FOR MULTI-DISCIPLINE SERVICES


  • Smart City and Transportation
  • Education and Learning
  • Business, Finance and Management
  • Large-scale Information Systems and Applications
  • Energy, Environment and Natural Science Applications
  • Social Networks Analysis, Media and e-Government
  • Proofs-of-concepts and Large-scale Experiments
  • Risk Modeling, Simulation, Legal Challenges
  • Open data: Issues, Services and Solutions
  • Earth Science Simulation and Processing
  • GPUs and Visualization
  • Case Studies of Real Adoption
  • Biomedical Experiments and Simulations
  • Healthcare Services and Health Informatics
  • Cancer and Tumor Studies with Big Data
  • DNA Sequencing, Organ Simulations and Processing
  • Volume, Velocity, Variety and Veracity
  • HCI and Gaming



AREA 6: SECURITY, PRIVACY AND TRUST


  • Algorithms, software engineering and development
  • System design and implementation
  • Testing (software engineering; penetration; product development)
  • Encryption (all aspects)
  • Firewall, access control, identity management
  • Experiments of using security solutions and proof-of-concepts
  • Large-scale simulations in the Cloud, Big Data and Internet of Things
  • Intrusion and detection techniques
  • Social engineering and ethical hacking: techniques and case studies
  • Software engineering for security modeling, business process modeling and analytics
  • Trust and privacy
  • Location-based privacy
  • Data security, data recovery, disaster recovery
  • Adoption challenges and recommendation
  • Information systems related issues
  • Conceptual frameworks and models
  • Emerging issues and recommendations for organizational security
  • E-Commerce and online banking
  • Social network analysis, emerging issues in social networks
  • Education and e-Learning
  • Surveys and their quantitative analysis
  • Architecture (technical or organizational)
  • Case Studies



AREA 7: IOT TECHNOLOGIES


  • 3D Printing
  • Artificial Intelligence
  • Biotechnology
  • Communication
  • Data Processing
  • Electronic Technologies for in-vehicle
  • Internet of Things
  • Mode-to-Mode Systems
  • Nanotechnology
  • Sensors
  • Transport Safety and Mobility
  • Vehicle-to-Infrastructure
  • Vehicle-to-Vehicle




KEYNOTE SPEAKERS

Tobias Hoellwarth, EuroCloud Europe, Austria
Péter Kacsuk, MTA SZTAKI, Hungary





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Date and Time

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Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

View Map

Refund Policy

No Refunds

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