Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Service Design and Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Persuasive technologies and Behaviour Change
Part III: Implications for CyberParks
European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul
Reflections on the need for collaboration among stakeholders mediated with technology to realize CyberParks
Conclusions and practical implications
This presentation overviews the reseach areas, active project and scientific contributions produced by DeustoTech-INTERNET and the MORElab research group (http://www.morelab.deusto.es)
Smarter Cities pillars: Internet of Things, Web of Data, Crowdsourcing
Interdependence analysis: Society ageing and Societal urbanisation
Enablement of Smarter Inclusive Cities
Introduction:
Context: societal urbanization and ageing
Interdependence analysis: Ambient Assisted Cities
ICT & Social Innovation leading towards Smarter Cities
Technologies for enablement of Smarter Cities:
Internet of Things
Web of Data
Crowdsourcing
Building Smarter Cities
Broad Data Analysis Tools
European projects about Smarter Ambient Assisted Cities
Conclusion
WeLive project Open Government We-Government Tools Open Innovation Open Services Open Data Focus Groups Public Service Apps Bilbao Smart Cities Sustainable Participative Cities
Internet of Things, Web of Data & Citizen Participation as Enablers of Smart Cities
Internet of Things
Broad Data:
Big Data
User-generated Data
Linked Data
Urban analytics
Smart Cities
Open Government
This presentation overviews the reseach areas, active project and scientific contributions produced by DeustoTech-INTERNET and the MORElab research group (http://www.morelab.deusto.es)
Smarter Cities pillars: Internet of Things, Web of Data, Crowdsourcing
Interdependence analysis: Society ageing and Societal urbanisation
Enablement of Smarter Inclusive Cities
Introduction:
Context: societal urbanization and ageing
Interdependence analysis: Ambient Assisted Cities
ICT & Social Innovation leading towards Smarter Cities
Technologies for enablement of Smarter Cities:
Internet of Things
Web of Data
Crowdsourcing
Building Smarter Cities
Broad Data Analysis Tools
European projects about Smarter Ambient Assisted Cities
Conclusion
WeLive project Open Government We-Government Tools Open Innovation Open Services Open Data Focus Groups Public Service Apps Bilbao Smart Cities Sustainable Participative Cities
Internet of Things, Web of Data & Citizen Participation as Enablers of Smart Cities
Internet of Things
Broad Data:
Big Data
User-generated Data
Linked Data
Urban analytics
Smart Cities
Open Government
The quest for realizing Smart Environments has taken place for the last 30 years. Diverse adaptations of the original UbiComp vision have been developed, each highlighting diverse aspects who have been considered critical to enable a wider and more acceptable adoption of Smart Environments. Notable examples of such interesting adaptations are Context-aware Computing, Sentient Computing, Ambient Intelligence, Ambient Assisted Living and Internet of Everything. Under those different umbrella terms, researchers have explored the 3 stage enabling equation for Smart Environments, i.e. “SENSE + PROCESS = ACT”, i.e. spaces where the environment is aware of the needs, profiles and preferences from the sensed users and accommodates its behaviour to ease their daily interactions. Contributions around these different perspectives and applied to distinct environments, i.e. Smart Offices, Smart Homes, Smart Factories or Smart Cities, have been produced, all addressing the challenges posed by ever more complex systems of systems populated by multiple users. This talk will exemplify research results on how to accomplish these three core steps. Firstly, in the SENSE part, the importance of location sensing and the spread of low cost highly dense sensing environments (RFID, NFC or low range Bluetooth) will be described. Secondly, the PROCESS stage where ever more sophisticated analytics mechanisms to take into account historic and real-time data are considered, combining domain-driven (rules) and data-driven solutions, will be analysed. Thirdly, the ACT stage will be explored, considering the evolution from reactive to learning persuasive environments which aim to collaborate with their users. Thus, a middle ground fostering collaboration between smart things and people will be defended giving place to Smarter environments. The implications of the Smarter environments approach will be illustrated with use cases in the Open Government and Efficient Energy Management domains.
This talks covers the following:
- IoT need for Linked Data
- Eco-aware devices: why and what for?
- Eco-aware Linked Data Devices
- A practical case: Sustainable Linked Data Coffee Maker
Talk given at FBK, Trento with my views on how we could progress towards Smarter Cities, those cities that do not only pursue resource efficiency but mainly focus on addressing the citizen actual needs in their daily interactions with the city. This presentation addresses: a) how an enabling platform for Smarter Cities must support developers by providing well-known interfaces and data management languages (REST, JSON and SQL) and b) also end-users by enabling them to contribute with data, still continuously analyzing the quality of their provided data.
IES Cities Hackathon, Zaragoza, 10-12 July 2015
IES Cities Project Overview and API
IES Cities Explanation
What does IES Cities propose?
Main objectives
Added value
IES Cities Apps examples
IES Cities Platform and APIS
Hackathon contest and conditions
Panel #4: Open Knowledge - Data, Citizens and Governance
FIWARE Global Summit
Smart Cities
Participative Cities
Citizen participation
Beyond Open Data Portals
CO-CREATION
Urban Intelligence
Knowledge Graphs
Actionable Knowledge to the service of citizens
Two of the main current challenges faced by society are the growing urbanization and ageing of population. ICTs play a key role helping us addressing these socioeconomic problems which are paramount for our future progress. Firstly, this talk will overview the opportunities and strengths brought forward by ICT democratization in all societal sectors to make cities more age-friendly, sustainable, productive and satisfying environments. On the other hand, it will also review the weaknesses and threats associated to the increasing adoption of ICT to face these societal challenges. For instance, it will review the need to capture and process personal information to offer assistance services and ease decision making in cities, together with the threats to privacy that personal data management may cause. Several European projects facing the challenges of Sustainable and Inclusive Cities will be described in order to illustrate the high potential of this idea. Both their scientific-technological contributions and their economic potential will be overviewed, highlighting the potential of the Silver Economy – the new market opened to address the progressive societal ageing. Secondly, this talk will give further details about three core pillars to make reality this idea of more elderly-friendly ambient assisted cities, namely Internet of Things, Big Data and higher stakeholder participation and collaboration. Through use cases extracted from European projects, examples of novel personal health devices connected to Internet, new ways to correlate and process information in order to enhance decision-making and emerging approaches to make elderly people to have a higher involvement and engagement in aspects related to personal autonomy and their higher societal involvement will be provided. Finally, the talk will conclude exemplifying how Spanish administrations are addressing ageing problems through smart healthcare technologies.
Esta jornada explicará el concepto de Internet de las Cosas (IoT) y su encaje dentro de las últimas tendencias tecnológicas como Big Data o blockchain. Describirá las tecnologías que lo hacen posible. Ofrecerá ejemplos de aplicación de IoT a diferentes ámbitos como salud, ciudades inteligentes o industria. Identificará su grado de desarrollo actual. Explorará su potencial implantación en nuestras entornos vitales e influencia en nuestras actividades cotidianas en un futuro cercano.
Empowering citizens to turn them into co-creatorsof demand-driven public services. CO-CREATION methodology, supporting platform and tools. Ecosystem of co-created artefacts. Open Government enablling
This paper describes the WeLive framework, a set of tools to enable co-created urban apps by means of bringing together Open Innovation, Open Data and Open Services paradigms.
Proposes a more holistic involvement of stakeholders across service ideation, creation and exploitation WeLive co-creation process
The two-phase evaluation methodology designed and the evaluation results of pre-pilot sub-phase are also presented.
Including early user experience evaluation for WeLive
SmartCities increase citizens’ quality of life and improve the efficiency and quality of the services provided by governing entities and business
“The city must become like the Internet, i.e. enabling creative development and easy deployment of applications which aim to empower the citizen” - THE APPS FOR SMART CITIES MANIFESTO
This view can be achieved by leveraging:
Available infrastructure such as Open Government Data and deployed sensor networks in cities
Citizens’ participation through apps in their smartphones
The IES CITIES project promotes user-centric mobile micro-services that exploit open data and generate user-supplied data
Hypothesis: Users may help on improving, extending and enriching the open data in which micro-services are based
Its platform aims to:
Facilitate the generation of citizen-centric apps that exploit urban data in different domains
Enable user supplied data to complement, enrich and enhance existing datasets about a city
Research on infrastructure-less and off-the-shelf hardware based research on Ubiquitous Computing, through software sensors, rule-based engines, middleware, semantic web, Linked Data and IoT, for two key domains: Smart Cities and AAL
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Part III: WeLive Case Study
WeLive as Open Government enabling methodology and platform
Reflections on the need for collaboration among stakeholders to realize Smarter Cities
Conclusions and practical implications
Alex Gluhak & Michael Nilsson - Smart CitiesFIA2010
Alex Gluhak & Michael Nilsson
Part I: Experimentation and Innovation Facilities for Smart Cities – Opportunities and Needs,
Part II: Collaboration Requirements and Opportunities in the Future Internet, Living Labs and Smart City Communities
¿Qué es la Internet del Futuro?
Big Data = IoT + Cloud Computing + Linked Data
El progreso en campos clave de Future Internet como IoT + Cloud Computing + Linked Data nos está llevando hacia el siguiente gran palabro: Big Data
Introducción a las bases de datos NoSQL
Concepto y campos relacionados
Principales características
Arquitectura de las bases de datos NoSQL
Taxonomía de soluciones NoSQL
Empresas que usan bases de datos NoSQL
MongoDB: una BBDD NoSQL orientada a Documentos
Introducción: características y arquitectura
Instalación sobre diferentes sistemas operativos
Utilidades de mongoDB: mongo, mongostat, mongotop, etc.
Características principales:
Consultas Ad hoc
Indexación
Replicación
Balanceo de carga
Almacenamiento de archivos
Agregación
Programación en MongoDB
Ejecución de JavaScript del lado del servidor
Programación de MongoDB desde Java y Python
Desarrollo de una aplicación avanzada con MongoDB
Conclusiones
Otras alternativas destacables: CouchDB
Aplicabilidad a mi empresa
The quest for realizing Smart Environments has taken place for the last 30 years. Diverse adaptations of the original UbiComp vision have been developed, each highlighting diverse aspects who have been considered critical to enable a wider and more acceptable adoption of Smart Environments. Notable examples of such interesting adaptations are Context-aware Computing, Sentient Computing, Ambient Intelligence, Ambient Assisted Living and Internet of Everything. Under those different umbrella terms, researchers have explored the 3 stage enabling equation for Smart Environments, i.e. “SENSE + PROCESS = ACT”, i.e. spaces where the environment is aware of the needs, profiles and preferences from the sensed users and accommodates its behaviour to ease their daily interactions. Contributions around these different perspectives and applied to distinct environments, i.e. Smart Offices, Smart Homes, Smart Factories or Smart Cities, have been produced, all addressing the challenges posed by ever more complex systems of systems populated by multiple users. This talk will exemplify research results on how to accomplish these three core steps. Firstly, in the SENSE part, the importance of location sensing and the spread of low cost highly dense sensing environments (RFID, NFC or low range Bluetooth) will be described. Secondly, the PROCESS stage where ever more sophisticated analytics mechanisms to take into account historic and real-time data are considered, combining domain-driven (rules) and data-driven solutions, will be analysed. Thirdly, the ACT stage will be explored, considering the evolution from reactive to learning persuasive environments which aim to collaborate with their users. Thus, a middle ground fostering collaboration between smart things and people will be defended giving place to Smarter environments. The implications of the Smarter environments approach will be illustrated with use cases in the Open Government and Efficient Energy Management domains.
This talks covers the following:
- IoT need for Linked Data
- Eco-aware devices: why and what for?
- Eco-aware Linked Data Devices
- A practical case: Sustainable Linked Data Coffee Maker
Talk given at FBK, Trento with my views on how we could progress towards Smarter Cities, those cities that do not only pursue resource efficiency but mainly focus on addressing the citizen actual needs in their daily interactions with the city. This presentation addresses: a) how an enabling platform for Smarter Cities must support developers by providing well-known interfaces and data management languages (REST, JSON and SQL) and b) also end-users by enabling them to contribute with data, still continuously analyzing the quality of their provided data.
IES Cities Hackathon, Zaragoza, 10-12 July 2015
IES Cities Project Overview and API
IES Cities Explanation
What does IES Cities propose?
Main objectives
Added value
IES Cities Apps examples
IES Cities Platform and APIS
Hackathon contest and conditions
Panel #4: Open Knowledge - Data, Citizens and Governance
FIWARE Global Summit
Smart Cities
Participative Cities
Citizen participation
Beyond Open Data Portals
CO-CREATION
Urban Intelligence
Knowledge Graphs
Actionable Knowledge to the service of citizens
Two of the main current challenges faced by society are the growing urbanization and ageing of population. ICTs play a key role helping us addressing these socioeconomic problems which are paramount for our future progress. Firstly, this talk will overview the opportunities and strengths brought forward by ICT democratization in all societal sectors to make cities more age-friendly, sustainable, productive and satisfying environments. On the other hand, it will also review the weaknesses and threats associated to the increasing adoption of ICT to face these societal challenges. For instance, it will review the need to capture and process personal information to offer assistance services and ease decision making in cities, together with the threats to privacy that personal data management may cause. Several European projects facing the challenges of Sustainable and Inclusive Cities will be described in order to illustrate the high potential of this idea. Both their scientific-technological contributions and their economic potential will be overviewed, highlighting the potential of the Silver Economy – the new market opened to address the progressive societal ageing. Secondly, this talk will give further details about three core pillars to make reality this idea of more elderly-friendly ambient assisted cities, namely Internet of Things, Big Data and higher stakeholder participation and collaboration. Through use cases extracted from European projects, examples of novel personal health devices connected to Internet, new ways to correlate and process information in order to enhance decision-making and emerging approaches to make elderly people to have a higher involvement and engagement in aspects related to personal autonomy and their higher societal involvement will be provided. Finally, the talk will conclude exemplifying how Spanish administrations are addressing ageing problems through smart healthcare technologies.
Esta jornada explicará el concepto de Internet de las Cosas (IoT) y su encaje dentro de las últimas tendencias tecnológicas como Big Data o blockchain. Describirá las tecnologías que lo hacen posible. Ofrecerá ejemplos de aplicación de IoT a diferentes ámbitos como salud, ciudades inteligentes o industria. Identificará su grado de desarrollo actual. Explorará su potencial implantación en nuestras entornos vitales e influencia en nuestras actividades cotidianas en un futuro cercano.
Empowering citizens to turn them into co-creatorsof demand-driven public services. CO-CREATION methodology, supporting platform and tools. Ecosystem of co-created artefacts. Open Government enablling
This paper describes the WeLive framework, a set of tools to enable co-created urban apps by means of bringing together Open Innovation, Open Data and Open Services paradigms.
Proposes a more holistic involvement of stakeholders across service ideation, creation and exploitation WeLive co-creation process
The two-phase evaluation methodology designed and the evaluation results of pre-pilot sub-phase are also presented.
Including early user experience evaluation for WeLive
SmartCities increase citizens’ quality of life and improve the efficiency and quality of the services provided by governing entities and business
“The city must become like the Internet, i.e. enabling creative development and easy deployment of applications which aim to empower the citizen” - THE APPS FOR SMART CITIES MANIFESTO
This view can be achieved by leveraging:
Available infrastructure such as Open Government Data and deployed sensor networks in cities
Citizens’ participation through apps in their smartphones
The IES CITIES project promotes user-centric mobile micro-services that exploit open data and generate user-supplied data
Hypothesis: Users may help on improving, extending and enriching the open data in which micro-services are based
Its platform aims to:
Facilitate the generation of citizen-centric apps that exploit urban data in different domains
Enable user supplied data to complement, enrich and enhance existing datasets about a city
Research on infrastructure-less and off-the-shelf hardware based research on Ubiquitous Computing, through software sensors, rule-based engines, middleware, semantic web, Linked Data and IoT, for two key domains: Smart Cities and AAL
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Part III: WeLive Case Study
WeLive as Open Government enabling methodology and platform
Reflections on the need for collaboration among stakeholders to realize Smarter Cities
Conclusions and practical implications
Alex Gluhak & Michael Nilsson - Smart CitiesFIA2010
Alex Gluhak & Michael Nilsson
Part I: Experimentation and Innovation Facilities for Smart Cities – Opportunities and Needs,
Part II: Collaboration Requirements and Opportunities in the Future Internet, Living Labs and Smart City Communities
¿Qué es la Internet del Futuro?
Big Data = IoT + Cloud Computing + Linked Data
El progreso en campos clave de Future Internet como IoT + Cloud Computing + Linked Data nos está llevando hacia el siguiente gran palabro: Big Data
Introducción a las bases de datos NoSQL
Concepto y campos relacionados
Principales características
Arquitectura de las bases de datos NoSQL
Taxonomía de soluciones NoSQL
Empresas que usan bases de datos NoSQL
MongoDB: una BBDD NoSQL orientada a Documentos
Introducción: características y arquitectura
Instalación sobre diferentes sistemas operativos
Utilidades de mongoDB: mongo, mongostat, mongotop, etc.
Características principales:
Consultas Ad hoc
Indexación
Replicación
Balanceo de carga
Almacenamiento de archivos
Agregación
Programación en MongoDB
Ejecución de JavaScript del lado del servidor
Programación de MongoDB desde Java y Python
Desarrollo de una aplicación avanzada con MongoDB
Conclusiones
Otras alternativas destacables: CouchDB
Aplicabilidad a mi empresa
La Internet del Futuro
La internet del futuro: definición, objetivos, limitaciones y desafíos.
Los pilares de la internet del futuro.
Internet de las cosas
Los nuevos protocolos de internet: IPv6 y HTTP 2.0.
La Web del Futuro
Evolución de la web: Web 3.0
El futuro de los navegadores web: HTML5, CSS3, RWD.
El futuro de los buscadores web.
La web como plataforma de servicios: REST, Comet, …
Cloud Computing
Definición.
Manifestaciones de cloud computing: SaaS, PaaS y IaaS.
Aplicaciones cloud más significativas.
Infraestructura cloud: Amazon Web Services.
Plataformas cloud: Google App Engine.
Web de Datos y Big Data
Web Semántica: principios.
Anotación de contenidos, lenguajes, y mash-ups semánticos.
Linked Data: tecnologías, aplicaciones y LOD-Cloud.
Big Data: definición, tecnologías y aplicabilidad.
Conclusión y Preguntas
Infraestructura Virtualizada:Cloud Computing
Cloud Computing es …
Evolución hacia Cloud Computing
Características de Cloud Computing
Clasificación de Cloud Computing
Fisonomía de Cloud Computing
Nivel de transferencia de responsabilidad
Arquitectura Cloud Computing
Ventajas y Retos de Cloud Computing
Proveedores Mayores
Previsión de Mercado y Proveedores Actuales
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform
Internet de las Cosas: IoT
¿Qué es Big Data?
Curso impartido en Curso de Verano Big Data & Data Science, Universidade de Santiago de Compostela, CITIUS (http://www.citius.usc.es/), 18 de Julio 2013
Conceptos básicos de NoSQL. Introducción a Cassandra, CouchDB, MongoDB y Neo4j.
Detalla las bases y dinámica de participación en el concurso. Además, incluye instrucciones sobre cómo realizar los diferentes pasos involucrados en la definición de una idea
Large Techno Social Systems (LTSS) involve leveraging technological advancements and digital platforms to improve access to essential services, enhance quality of life, and ensure social inclusivity. In LTSS, people cannot be mere users of networked technologies and services designed for optimization purposes. Their behaviour should become one of the key levers for designing technologies turning them into real “Smart citizens” that teach their surrounding environment (and embedded devices) but learn reciprocally from it. LTSS can be realized by promoting smart communities which leverage technology, data, and innovation to improve the quality of life for its residents, enhance sustainability, and optimize the use of resources. Human-centric technology can empower citizens to actively engage in societal decision-making processes, participate in deliberative systems, and contribute to societal welfare. On the other hand, technological advancements, including data analytics and artificial intelligence, can inform evidence-based policymaking and planning processes. Indeed, digital technologies have the potential to influence human behaviour change by providing information, personalized feedback, social support, targeted interventions, and opportunities for learning. This work explores two approaches to realize LTSS driven smart communities that leverage digital technologies to achieve a higher collaboration and reciprocal learning between machines and people. On one hand, co-production in smart communities promotes behaviour change by empowering citizens in the co-design and co-delivery process, designing user-centric solutions, leveraging local knowledge, fostering collaboration, and facilitating capacity building. On the other hand, Citizen Science can inspire and enable behaviour change that leads to more sustainable, responsible, and community-oriented actions by promoting awareness, empowering individuals, and facilitating collaboration.
Internet of People is a new computing paradigm designed to enable Smart Sustainable Places which follow Social Good principles
Smart Sustainable Places =
IoT +
Big Data +
Blockchain +
People Participation through CO-PRODUCTION
Generación de datos: IoP & Citizen science
Explosión datos + IA = Economía de Datos
Data Marketplaces: EDI & REACH
Explotación de los datos:
Ciudadanos co-idean, co-crean y co-explotan (WeLive)
Colaboración sostenible entre ciudadanos y personas (AUDABLOK)
A Quintessential smart city infrastructure framework for all stakeholdersJonathan L. Tan, M.B.A.
Smart City Infrastructure Framework provides guidance to open government data and infrastructure essentials for ICT \ Telecom, Energy \ Renewable Energy, Water \ Waste Water, Transportation, Education, Health and Government Services systems
I. Smart City Drivers
Smart City Definition
Smart City Elements
II. Smart City Infrastructure Frameworks
III. Technology Ecosystem
Stakeholders
ICT Essentials
OGD
ICT for Building Automation
Smart Water
Smart Energy
Smart Transportation
Smart Education
Smart Healthcare
Smart City Services
IV. Smart City Applications
V. Smart City Systems Infrastructure
Top SC Vendors
Technologies shall be not invasive in the life of a person.
ICT is only a tool, both for information gathering and information delivering. We can elicit useful information through face-to-face discussions, we HAVE TO understand the most suitable interface for users/citizens.
Business fostered. More users, more trust, more engagement, more feedback, more info to be elaborated by third parties.
Only 7 out 450+ cases found as high relevant for user centricity in Europe. Survey (2011). NET-EUCEN D2.1
European services are aligned with the international panorama
Open Smart Cities in Canada - Webinar 3 - EnglishOpen North
In this webinar we present a first ever definition for an Open Smart City and the Open Smart Cities Guide V1.0, informed by research conducted in Canada and an examination of international best practices. In the context of Canada’s Smart Cities Challenge and the public conversation regarding Sidewalk Labs, this webinar gave us timely opportunity to receive public feedback on the definition and structure of the guide. The webinar refers to tools, practices, policies, recommendations and legal frameworks to guide Canadian municipalities toward co-creating Open Smart Cities with their residents.
License: CC BY-SA 4.0
CRTL-ALT-DEL to ALT-GOV by Joan Batlle MonserratForesight Gent
This presentation was meant for the #OpenGovernance session in Ghent on 11 June 2018 CRTL-ALT-DEL to ALT-GOV as part of the Eurocities #Cities4Europe campaign. All copyright belongs to Joan Batlle Monserrat
Open Smart City in Canada Project
Funded by: GeoConnections
Lead by: OpenNorth
Project core team:
Rachel Bloom & Jean-Noe Landry, Open North
Dr. Tracey P. Lauriault, Carleton University
David Fewer, LL.M., Canadian Internet Policy and Public Interest Clinic (CIPPIC)
Dr. Mark Fox, University of Toronto
Research Assistants Carleton University
Carly Livingstone
Stephen Letts
Smart city position paper - GS1 standards perspectiveDaeyoung Kim
Prepared by Auto-ID Labs, KAIST and GS1 Korea
Similar to Technological pillars to enable Smarter (Collaborative + Inclusive) Environments: Internet of Things, Web of Data and Citizen Participation (20)
In the era of digital transformation, the concept of Digital Twins has emerged as a revolutionary approach to managing and optimizing the lifecycle of physical assets, systems, and processes. This talk delves into the transformative potential of Digital Maintenance in the Digital Twin Era, highlighting the seamless integration of digital replicas with real-world operations to foster unprecedented levels of efficiency, predictability, and sustainability in maintenance practices. We will explore how Digital Twins serve as dynamic, real-time reflections of physical assets, allowing for meticulous monitoring, analysis, and simulation. Through vivid examples, we'll demonstrate the benefits of this paradigm, such as predictive maintenance, which leverages data analytics and machine learning to anticipate failures and optimize maintenance schedules, thereby reducing downtime and extending asset lifespan. Further, the talk will showcase the role of Digital Twins in facilitating remote maintenance operations. By providing a comprehensive, virtual view of assets, maintenance professionals can perform diagnostics and identify issues without being physically present, enhancing safety and reducing response times. We'll also explore the environmental benefits of Digital Maintenance within the Digital Twin framework. By optimizing maintenance schedules and operations, organizations can significantly reduce their carbon footprint and resource consumption, contributing to more sustainable industrial practices. Finally, the presentation will highlight case studies from various industries, including manufacturing, energy, and transportation, where the adoption of Digital Twins has led to substantial cost savings, improved operational efficiency, and enhanced decision-making processes. These examples will illustrate the tangible value and competitive advantage that Digital Maintenance in the Digital Twin Era offers to forward-thinking organizations.
realizing human-centric innovation around public services
From data collector to co-researcher - how to successfully collaborate with society
Delivered to UNIC CityLab 10 November 2022, 10:00-12:00, https://unic.eu/en
Towards more citizen-centric and sustainable public services
INTERLINK co-production methodology
INTERLINK’s key principles and concepts
INTERLINK Collaborative Environment
INTERLINK: co-production of public services
A public service is an aggregation of all activities that realize a public authority's commitment to make available to individuals, businesses, or other public authorities some capabilities intended to answer their needs, giving them some possibilities to control whether, how and when such capabilities are manifested
Co-production is defined as the process in which services are jointly designed and/or delivered by public authorities and other stakeholders
FAIR Data
Principles
FAIR vs Open Data
Implementing FAIR & FAIRmetrics
FAIRness de ASIO-HERCULES
Research Objects
Definition
Standard RO-CRATE
Usage examples
What is linked data
What is open data
What is the difference between linked and open data
How to publish linked data (5-star schema)
The economic and social aspects of linked data.
Introducción a la Web de Datos
Grafos de Conocimiento
Web Semántica
Ontologías
Linked Data: Wikidata & Dbpedia
Ontología ROH: Red de Ontologías Hércules
Proceso de diseño de la ontología
Descripción de la ontología en detalle
Entidades principales explicadas en base a casos de uso
BDVA PPP Steering Committee Meeting, Brussels, 8/2/2018
Dr. Diego López-de-Ipiña González-de-Artaza, dipina@deusto.es
Project Coordinator – University of Deusto/DeustoTech
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
Technological pillars to enable Smarter (Collaborative + Inclusive) Environments: Internet of Things, Web of Data and Citizen Participation
1. 1
Technological pillars to enable Smarter (Collaborative +
Inclusive) Environments: Internet of Things, Web of Data
and Citizen Participation
Workshop Co-Creating of Inclusive and Mediated Public Spaces
13-16 February, Lisbon, Portugal
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://paginaspersonales.deusto.es/dipina
http://www.morelab.deusto.es
2. 2
Agenda
1. Introduction: Technological and methodical pillars for Smarter
Environment Enablement
2. Part I: Smarter Environments Theoretical Grounding
– What is a Smart Environment?
– Technological enablers: IoT, Web of Data and Persuasive Technologies
– Technology mediated Human Collaboration: need for co-creation
– Killer application domains: Open Government & Age-friendly cities
3. Part II: Review of core enablers for Smarter Environments
– Co-creation methodologies: Service Design and Design for Thinking
– Internet of Things and Web of Things
– Web of Data: Linked Data, Crowdsourcing & Big Data
– Persuasive technologies and Behaviour Change
4. Part III: Implications for CyberParks
– European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul
– Reflections on the need for collaboration among stakeholders mediated with
technology to realize CyberParks
5. Conclusions and practical implications
3. 3
Smarter Public Open Spaces
• Smarter Spaces spaces that do not only manage their
resources more efficiently but also are aware of the
citizens’ needs.
– Human/space interactions leave digital traces that can be
compiled into comprehensive pictures of human daily facets
– Analysis and discovery of the information behind the big
amount of Broad Data captured on these smart spaces
deployment
Smarter Places= Co-Creation/Citizen Participation +
Internet of Things + Broad Data + Analytics
4. 4
Smart Environments
• Smart City is a place where urban services are
improved in efficiency by applying ICT, for the
benefit of its inhabitants and economic
development
• Smart Territories innovative geographic areas,
able to build their own competitive advantages
taking into account their context
• Smart Places balance among economic
competitiveness, social cohesion, innovative
creativity, democratic governance and
environmental sustainability
– Satisfying the basic and self-fulfilment needs in
the Maslow pyramid
5. 5
Challenges for Smarter Cities
• Enable life, work and leisure
environments which allow our self-
fulfilment without disregarding basic
needs and their development in
welfare society
• Answer to the urbanization
demands in a economically feasible,
socially inclusive and sustainable
manner
– BUT… apply traditional solutions to
the needs of urban development
unsustainable urban ecology
footprint
• Generate more electricity or new
water resources not addressing
inefficiencies in distribution
6. 6
ICT as levers of Smarter Cities (I)
• ICTs will help in the urbanization and ageing problems
associated to cities iff the following 3 premises are fulfilled:
1. Social equity
2. Economic feasibility and
3. Environmental sustainability
• ICTs are key to leverage the existing urban infrastructure and
maximize the socioeconomic throughput
• A more rational and extensive usage of ICT in cities and places a
quicker and more economic fulfilment of urban challenges
7. 7
ICT as levers of Smarter Cities (II): Big |
Open | Personal Data
• Big potential for enterprises, social entities and governments
if there is a better usage of infrastructure and information
(IoT + Open + Personal data) in urban environments:
– Big Data: extensive analysis of heterogeneous urban data to offer
answers, indicators and visualizations to help improving the decision
criteria upon the challenges of cities and territory management
• It will allow us to progress towards more disruptive
approaches
– All agents should benefit from a more efficient usage of data
processing technology to give place to Urban or Physical Spaces
Analytics
• Great potential but huge difficulty associated!
8. 8
ICT as levers of Smarter Cities (III): Open
Collaboration
• Smarter environments cannot only be reached
through technological solutions
– We have to take advantage of the huge potential of
collective intelligence – citizenship capacity to
generate knowledge through crowdsourcing
techniques and co-creation – where ideation and
production are socialized
• Citizens are increasibly becoming prosumers & makers!
9. 9
Social Open Innovation
• Novel solution to a social problem that
is more effective, efficient, sustainable,
or just than current solutions (CAPS).
– New ideas (products, services and models)
that simultaneously meet social needs and
create new social relationships
10. 10
ICT as levers of Smarter Cities (V):
Ethical Implications
• Personal data are the “new petrol” of XXI century, being exploited by big
corporations such as Google, Apple (publicity + marketing) BUT …
– There are multiple distributed personal data silos among different Internet
providers and institutions which have to be interoperable
– There is a need for individuals to have a greater control of their own personal
data
• Governments must:
– Regulate, protect, legislate to guarantee the rights and opportunities of such
data providers (we)
– Legislate and manage non-functional aspects (accessibility – technological
inclusion, privacy, data protection and ethics to achieve responsible
technological solutions
11. 11
Personal Data
• Defined as "any information
relating to an identified or
identifiable natural person
("data subject")”
12. 12
Ambient Assisted Cities: Age-
friendly Smart Cities
• The main attribute of a Smart City is efficiency
• An Age-friendly city is an inclusive and accessible
urban environment that promotes active ageing
• The main attributes of an Ambient Assisted
(Smarter) City are:
– Livable
– Accessible
– Healthy
– Inclusive
– Participative
[WHO Global Network of Age-friendly Cities]
13. 13
The need for Participative Cities
• Not enough with the traditional resource efficiency
approach of Smart City initiatives
• “City appeal and dynamicity” will be key to attract and
retain citizens, companies and tourists
• Only possible by user-driven and centric innovation:
– The citizen should be heard, EMPOWERED!
» Urban apps to enhance the experience and interactions of the
citizen, by taking advantage of the city infrastructure
– The information generated by cities and citizens must be linked
and processed
» How do we correlate, link and exploit such humongous data for all
stakeholders’ benefit?
• Demand for Big (Linked) Data for enabling Urban Analytics!!!
14. 14
Broad Data Analytics
• Broad Data aggregates data from heterogeneous sources:
– Open Government Data repositories
– User-supplied data w/social networks or apps (OSM, Wikipedia)
– Public private sector data or
– End-user private data
• Huge potential on correlating and analysing Broad Data:
– Leverage digital traces left by citizens in their daily interactions
with the city to gain insights about why, how and when they do
things
– We can progress from Open City Data to Open Data Knowledge
• Energy saving, improve health monitoring, optimized transport
system, filtering and recommendation of contents and services
16. 16
Agenda
1. Introduction: Technological and methodical pillars for Smarter
Environment Enablement
2. Part I: Smarter Environments Theoretical Grounding
– What is a Smart Environment?
– Technological enablers: IoT, Web of Data and Persuasive Technologies
– Technology mediated Human Collaboration: need for co-creation
– Killer application domains: Open Government & Age-friendly cities
3. Part II: Review of core enablers for Smarter Environments
– Co-creation methodologies: Service Design and Design for Thinking
– Internet of Things and Web of Things
– Web of Data: Linked Data, Crowdsourcing & Big Data
– Persuasive technologies and Behaviour Change
4. Part III: Implications for CyberParks
– European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul
– Reflections on the need for collaboration among stakeholders mediated with
technology to realize CyberParks
5. Conclusions and practical implications
17. 17
Co-Creation of public services: service
design approach through Design Thinking
Inspiration
Ideation
Implementation
20. 20
6 facts about IoT
1. IoT is the term used to describe any kind of application that
connected and made “things” interact through the Internet
2. IoT is a communication network connecting things which
have naming, sensing and processing abilities
3. IoT is the next stage of the information revolution, i.e. the
inter-connectivity of everything from urban transport to
medical devices to household appliances
4. Intelligent interactivity between human and things to
exchange information & knowledge for new value creation
5. IoT is not just about gathering of data but also about the
analysis and use of data
6. IoT is not just about “smart devices”; it is also about devices
and services that help people become smarter
21. 21
Value of IoT
• Information within the Internet of Things creates value in a
never-ending value loop consisting of 5 stages (CREATE … to ACT):
23. 23
Linked Data Example
http://…/isb
n978
Programming the
Semantic Web
978-0-596-15381-6
Toby Segaran
http://…/publi
sher1
O’Reilly
title
name
author
publisher
isbn
http://…/isb
n978
sameAs
http://…/rev
iew1
Awesome
Book
http://…/rev
iewer
Juan
Sequeda
http://juanseque
da.com/id
hasReview
hasReviewer
description
name
sameAs
livesIn
Juan Sequedaname
http://dbpedia.org/Austin
25. 25
Data has changed
• 90% of the world’s data
was created in the last two
years
• 80% of enterprise data is
unstructured
• Unstructured data growing
2x faster than structured
30. 30
Agenda
1. Introduction: Technological and methodical pillars for Smarter
Environment Enablement
2. Part I: Smarter Environments Theoretical Grounding
– What is a Smart Environment?
– Technological enablers: IoT, Web of Data and Persuasive Technologies
– Technology mediated Human Collaboration: need for co-creation
– Killer application domains: Open Government & Age-friendly cities
3. Part II: Review of core enablers for Smarter Environments
– Co-creation methodologies: Service Design and Design for Thinking
– Internet of Things and Web of Things
– Web of Data: Linked Data, Crowdsourcing & Big Data
– Persuasive technologies and Behaviour Change
4. Part III: Implications for CyberParks
– European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul
– Reflections on the need for collaboration among stakeholders mediated with
technology to realize CyberParks
5. Conclusions and practical implications
31. 31
IES Cities Project
• The IES Cities project promotes user-centric
mobile micro-services that exploit open data
and generate user-supplied data
– Hypothesis: Users may help on improving, extending
and enriching the open data in which micro-services
are based
• Its platform aims to:
– Enable user supplied data to complement, enrich and
enhance existing datasets about a city
– Facilitate the generation of citizen-centric apps that
exploit urban data in different domains
European CIP project
2013-2016, Bristol,
Majadahonda, Trento &
Zaragoza involved
http://iescities.eu
33. 33
What´s WeLive (I)
A novel We-Government ecosystem of tools (Live) that is
easily deployable in different PA and which promotes co-
innovation and co-creation of personalised public services
through public-private partnerships and the
empowerment of all stakeholders to actively take part in
the value-chain of a municipality or a territory
Open Data Open Services
Open Innovation
H2020 project
2015-2018,
Bilbao, Helsinki, Novi Sad and
Trneto councils involved
http://welive.eu
34. 34
WeLive proposes…
Transform the current e-government approach into…
WeLive Open and Collaborative Government Solution = We-
government + t-government + I-government + m-government
We-
All stakeholders
are treated as
peers and
prosumers
t-
Providing
Technology
tools to create
public value
l-
To do more
with less by
involving other
players and the
PA as
orchestrator
m-
Utilisation of
mobile tech. for
public services
delivery
35. 35
How? (I)
Stakeholder Collaboration + Public-private Partnership
IDEAS >> APPLICATIONS >> MARKETPLACE
WeLive offers tools to transform the needs into ideas
Tools to select the best Ideas and create the B. Blocks
A way to compose the
Building Blocks into mass
market Applications which
can be exploited through
the marketplace
36. 36
How? (II): WeLive Service co-
creation approach
Inspire and involve
Challenge and Idea Generation
Idea Evaluation and Selection
Idea Refinement
Suggested
collaborators
list
Suggested
PSAs list to user
Suggested BBs
and Datasets list
to realize the PSA
Get required
BBs list
Publish
PSAs
Idea Implementation
PSA Deployment
Open Service Layer
Core BB
Open Data Stack
Research Query
Get required
Datasets list
BBs and PSAs
Registry and
Execution environment
Communities
Analytics
Dashboard
Query mapper
37. 37
Scenario-driven Artefact
Definition per City
25/05/2016
1 – Agree a common methodology for
stakeholders involvement and scenarios
definition (benchmarking)
2a – Activities execution for
insights gathering – stakeholder
consultation process
2b –Deep analysis of city strategy
and pilot focus, current IT and
open data infrastructure
3a – Scenario #1 definition 3b – Scenario #2 definition
4a – New
public
service #1
4b – New
public
service #2
4g – New
public
service #7
4h – New
public
service #8
5 – Set of building
blocks
42. 42
• Addresses the need to offer a
more efficient and more effective
experience to companies and
citizens in their daily interaction
with Public Administration (PA)
– Providing a personalized delivery of
e- services based on advanced
cognitive system technologies and by
promoting an active engagement of
people for the continuous
improvement of the interaction with
these services.
H2020 project
2016-2018, EURO6,
Sheffield, Trento &
Xunta Galicia involved
http://www.simpatico-project.eu/
44. 44
Conclusion
• We need cooperative cities and territories which are
inclusive, participative, aware and responsive to the
needs of all societal sectors
– ICT intertwined with co-creation through multi-
stakeholder involvement are key to achieve smarter
environments
• To do more with what we have, without having to invest big amounts, but
taking advantage of information that is already available, transforming
knowledge, democratizing its access and usage, protecting and regulating
its usage, and easing decision making among different actors
45. 45
Learning Goals
1. Know about the key methodologies and technological enablers of
Smarter Environments
2. Realize why the right technology is not enough to enable acceptable
Smarter Environments
3. Understand how to democratize technology usage so that it serves to
empower users in an inclusive manner to foster better more acceptable
Smart Environments
4. Gain an understanding on how stakeholder engagement and partipation
approaches are being successfully combined with technology
5. Learn what technologies and user involvement methods are available
and how to bring them together to pursue CyberParks goals
46. 46
Technological pillars to enable Smarter (Collaborative +
Inclusive) Environments: Internet of Things, Web of Data
and Citizen Participation
Workshop Co-Creating of Inclusive and Mediated Public Spaces
13-16 February, Lisbon, Portugal
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://paginaspersonales.deusto.es/dipina
http://www.morelab.deusto.es
47. 47
References
• Innovating the Smart Cities, Syam Madanapalli | IEEE Smart Tech
Workshop 2015, http://www.slideshare.net/smadanapalli/innovating-the-
smart-cities
• Kitchin, R., Lauriault, T. and McArdle, G. (2015) Knowing and governing
cities through urban indicators, city benchmarking and real-time
dashboards. Regional Studies, Regional Science 2: 1-28,
http://rsa.tandfonline.com/doi/full/10.1080/21681376.2014.983149
• Towards Smart City: Making Government Data Work with Big Data
Analysis, Charles Mok, 24 September 2015,
http://www.slideshare.net/mok/towards-smart-city-making-government-
data-work-with-big-data-analysis-53176591
• Mining in the Middle of the City: The needs of Big Data for Smart Cities, Dr.
Antonio Jara, http://www.slideshare.net/IIG_HES/mining-in-the-middle-
of-the-city-the-needs-of-big-data-for-smart-cities
48. 48
References
• Schema.org - Extending Benefits, Richard Wallis,
http://www.slideshare.net/rjw/schemaorg-extending-
benefits?qid=9ecd1fa6-cfac-460d-9bbb-
065879c46aee&v=&b=&from_search=3
• SDA-SmartCity – Overview and Challenges, Alessandra Mileo.
Senior Research Fellow, Insight Centre for Data Analytics, NUI
Galway, http://ict-citypulse.eu/page/tutorial/smartcity-
tutorial-eswc2015_files/ESWC-SD-INTRO-small.pdf
• Internet of Things: Concepts and Technologies, Payam
Barnaghi,
http://www.slideshare.net/PayamBarnaghi/internet-of-
things-concepts-and-technologies
49. 49
References
• Internet of Things towards Ubiquitous and Mobile Computing
– http://research.microsoft.com/en-
us/UM/redmond/events/asiafacsum2010/presentations/Guihai-
Chen_Oct19.pdf
• 5 key questions to ask about the Internet of Things
– http://www.slideshare.net/DeloitteUS/5-questions-the-iot-internet-of-things
• Internet Connected Objects for Reconfigurable Eco-systems
– https://docbox.etsi.org/workshop/2012/201210_M2MWORKSHOP/zz_POSTE
RS/iCore.pdf
• Internet of Things and Big Data – Bosch, August 2015
– https://www.bosch-
si.com/media/bosch_software_innovations/media_landingpages/connectedw
orld_1/bcw_2016/bcw_1/download_page_1/download_page/bcw16_mongo
db_collateral_followup_sponsor.pdf
• The internet of things and big data: Unlocking the power
– http://www.zdnet.com/article/the-internet-of-things-and-big-data-unlocking-
the-power/
50. 50
References
• Deconstructing the Internet of Things
– https://jenson.org/deconstructing-the-iot/
• Mobile in IoT Context ? Mobile Applications in "Industry 4.0“
– http://www.slideshare.net/MobileTrendsConference/karol-kalisz-vitaliy-rudnytskiy-
mobile-in-iot-context-mobile-applications-in-industry-40
• Inside the Internet of Things (IoT) – A primer on the technologies building
the IoT – Deloitte
– http://dupress.com/articles/iot-primer-iot-technologies-applications/
• Internet of Things (IoT) - We Are at the Tip of An Iceberg – Dr. Mazlan
Abbas
– http://www.slideshare.net/mazlan1/internet-of-things-iot-we-are-at-the-tip-of-an-
iceberg
• Infographic: What are Beacons and What Do They Do?
– https://kontakt.io/blog/infographic-beacons/
• iBeacon
– https://en.wikipedia.org/wiki/IBeacon
51. 51
References
• ITU News – What is a smart sustainable city?,
– https://itunews.itu.int/en/5215-What-is-a-smart-sustainable-
city.note.aspx
• Frost & Sullivan's Predictions for the Global Energy and
Environment Market,
– http://www.slideshare.net/FrostandSullivan/frost-sullivans-
predictions-for-the-global-energy-and-environment-market
• Fog Computing with VORTEX
– http://www.slideshare.net/Angelo.Corsaro/20141210-fog
• What Exactly Is The "Internet of Things"? – A graphic primer
behind the term & technologies
– http://postscapes.com/what-exactly-is-the-internet-of-things-
infographic
52. 52
References
• The Big 'Big Data' Question: Hadoop or Spark?
– http://www.datasciencecentral.com/profiles/blogs/the-big-big-data-question-
hadoop-or-spark
• Hadoop vs. Spark: The New Age of Big Data
– http://www.datamation.com/data-center/hadoop-vs.-spark-the-new-age-of-
big-data.html
• Comparing 11 IoT Development Platforms
– https://dzone.com/articles/iot-software-platform-comparison
• Moving from Descriptive to Cognitive Analytics on your Big Data
Projects, Gene Villeneuve, IBM,
http://www.slideshare.net/ibmsverige/gene-villeneuve-moving-
from-descriptive-to-cognitive-analytics
• Virtualisation and Validation of Smart City Data. Dr Sefki Kolozali. Dr
Payam Barnaghi