Smarter Cities pillars: Internet of Things, Web of Data, Crowdsourcing
Interdependence analysis: Society ageing and Societal urbanisation
Enablement of Smarter Inclusive 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)
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
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.
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)
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
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.
WeLive project Open Government We-Government Tools Open Innovation Open Services Open Data Focus Groups Public Service Apps Bilbao Smart Cities Sustainable Participative Cities
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
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
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
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
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.
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
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
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.
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
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
Smart Cities are all about collaboration, sharing and transparency. They need true openness of data. It is not just governments opening up their data for everyone in public platforms. It is individual citizens and privately-owned companies offering their data to the government or government departments sharing their data with one another. That is the true meaning of ‘Open Data’, which goes beyond the traditional definitions. Because Smart Cities eat the ‘status quo’ for breakfast. They change at the speed of light, together with their environment. They are the cities of the future.
A Unified Semantic Engine for Internet of Things and Smart Cities: From Senso...Amélie Gyrard
A Unified Semantic Engine for Internet of Things and Smart Cities: From Sensor Data to End-Users Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Martin Serrano
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
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
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
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
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.
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
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
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.
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
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
Smart Cities are all about collaboration, sharing and transparency. They need true openness of data. It is not just governments opening up their data for everyone in public platforms. It is individual citizens and privately-owned companies offering their data to the government or government departments sharing their data with one another. That is the true meaning of ‘Open Data’, which goes beyond the traditional definitions. Because Smart Cities eat the ‘status quo’ for breakfast. They change at the speed of light, together with their environment. They are the cities of the future.
A Unified Semantic Engine for Internet of Things and Smart Cities: From Senso...Amélie Gyrard
A Unified Semantic Engine for Internet of Things and Smart Cities: From Sensor Data to End-Users Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Martin Serrano
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
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
24 maggio 2016, Alessandra Lanza, partner Prometeia, è stata protagonista del quattordicesimo appuntamento di Exhibitionist, ciclo di incontri tra innovatori di fiere ed eventi organizzato da Fondazione Fiera Milano con la collaborazione di Regione Lombardia, Camera di Commercio e Meet The Media Guru.
¿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
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?
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)
Can’t Pay, Won’t Pay, Don’t Pay: Delivering open science, a Digital Research...Carole Goble
Invited talk, PHIL_OS, March 30-31 2023, Exeter
https://opensciencestudies.eu/whither-open-science. Includes hidden slides.
FAIR and Open Science needs Digital Research Infrastructure, which is a federated system of systems and needs funding models that are fit for purpose
Culture change needed for paying for Open Science’s infrastructure and funding support for data driven research needs more reality and less rhetoric
presented at the 2011 SemTech
Open government data and related services/applications are quickly growing on the Web. Although most agree that the government data has great potential in solving real world problems, there are still many challenges that must be addressed. This talk will describe several representative domain applications and provide concrete examples of evolving technical challenges remaining. We will show solution paths that have proven useful and make recommendations on the corresponding Semantic Web best practices.
• Scalability. How can we handle(e.g. search and cleanse) the 3,000+ raw/tool datasets, and the additional 300,000+ geo datasets from data.gov?
• Interoperability. Multi-scale open government data came from city governments, state governments, and national governments. How can one compare the GDP of the US and China, and later link to state-level financial data? Open government data covers many domains. How can one associate open government data with domain knowledge to build a cancer prevention application?
• Provenance and quality. How should provenance be leveraged to facilitate high-quality data management interactions (e.g. reuse, mash-up and feedback) between the government and the public?
for getting the library resources fro the libraries entire world, the important tool is Library catalogues. every can browse all most all the world literature through WorldCat fro the INTERNET.
Current Disruptions in Media: Earthquakes or New Openings? Stanford as CatalystMartha Russell
Across the globe, new word-of-mouth messaging methods are emerging. Many of these involve new technologies. The strategic use of media has become a game changer for both local and global businesses. Traditional media platforms are outpaced by the speed of flash movements as they unfold. Technical discoveries outpace the scientific journals available to announce them. Journalists, entertainers, academics, scientists, and citizens are experimenting with new tools and platforms for content creation, consumption and curation.
When the news about Tahir Square, or Occupy Wall Street or, more recently the Brazilian protests, hit the headlines of newspapers and magazines, they were already outdated. Documentaries were equally incapable of tracking and fully describing these movements. Traditional narratives – and the technologies used to tell them - fall short of accurately portraying the ideas and behaviors that are emerging through new modes of communication. Information travels so fast, that news is no longer "new". Ubiquitous media disintermediates traditional business ecosystems. And every company must take on roles of a media company.
The world of digital content is experiencing an explosion of innovation in both creation and consumption of media. It may well have been consumer applications that ignited the transformation, but business, enterprise and government interests have joined the party. Across the entire innovation ecosystem of media, new technologies and new uses of it by people are creating a sea change in the way people participate and in the responses they expect, Streaming coverage, both amateur and professional – both business and community, is powered by cutting edge technology in combinations of smartphones, 4G, drone cameras and, even, Google Glass can report on events and movements, products and services. The new role of the Chief Digital Officer has emerged in many organizations - to help management bridge the changing roles usually played by Chief Information Officers, Chief Marketing Officers, and Chief Technology Officers.
Labs affiliated with mediaX at Stanford University study how people and information technology interact. We invite discovery collaborations on the future of content for business, education, and entertainment.
This work is about how both private enterprise and government wish to improve their data value and how they deal with this issue. The talk summarizes the way of thinking about Big Data, Open Data and their use by organizations or individuals. Big Data is explained from collecting, storing, analyzing and put in value. This data is collected from numerous sources including sensor networks, government data holdings, company market databases, and public profiles on social networking sites. Organizations use many data analytical techniques to study both structured and unstructured data. Due to the volume, velocity and variety of data, some specific techniques have been developed. MapReduce, Hadoop and other related as RHadoop are trending topic nowadays.
Data which come from government must be open. Every day more and more cities and countries are opening their data. Open Data is then presented as a specific case of public data with a special role in Smartcity. The main goal of Big and Open Data in Smartcity is to develop systems which can be useful for citizens. In this sense RMap (Mapa de Recursos) is shown as an Open Data application, an open system for Madrid City Council, avalaible for smarthphones and totally developed by the researching group G-TeC (www.tecnologiaUCM.es).
Sirris innovate2011 - Smart Products with smart data - introduction, Dr. Elen...Sirris
This lecture highlights current trends, challenges and opportunities related to the emergence of large amounts of data. It also presents Sirris’s recent research activities in this domain.
NIH Data Commons - Note: Presentation has animations Vivien Bonazzi
Presented at the Data Commons & Data Science Workshop (University of Chicago - Centre for Data Intensive Science):
NB- there are animations in these slides so static slides might not view well
Enabling the physical world to the Internet and potential benefits for agricu...Andreas Kamilaris
The Internet of Things (IoT) allows physical devices that live inside smart homes, offices, roads, electricity networks and city infrastructures to seamlessly communicate through the Internet while the forthcoming Web of Things (WoT) ensures interoperability at the application level through standardized Web technologies and protocols. In this presentation, we explain the concepts of the IoT and the WoT and their potential through various applications in the aforementioned domains. Then, we examine how the IoT/WoT can be used in the agri-food industry in order to enable novel smart farming technologies and applications,considering the recent technological opportunities for big data analysis.
Hypermedia-driven Socio-technical Networks for Goal-driven Discovery in the W...Andrei Ciortea
To cope with dynamic environments, Internet of Things (IoT) applications are expected to autonomously discover and interact with services at runtime in pursuit of design or user-specified goals. On the one hand, various paradigms and technologies are available to program goal-driven autonomous software agents, and on the other hand hypermedia-driven environments are central to the development of robust machine-to-machine applications. However, existing approaches for the development of hypermedia-driven environments fall short of meeting the needs of autonomous agents: they either severely restrict the agents’ autonomy, or their topological structure is either fragmented or inefficient to navigate at scale. In this paper, we explore the use of socio-technical networks, that is networks of people and things interrelated in a meaningful manner via typed relations, as an overlay for enhancing hypermedia-driven interaction in IoT environments. We present a proof of concept and discuss several classes of applications in which this model could prove useful.
Objectives: 1. Gain an understanding of key trends in ICT innovation which are influencing/disrupting crisis informatics. 2. Be able to trace these trends through discussions later this semester, and understand their influence and potential. 3. Introduce visualization lab
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.
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.
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
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
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
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In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
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However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
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The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
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While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
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- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Enabling Smarter Cities through Internet of Things, Web of Data & Citizen Participation
1. 1
Enabling Smarter Cities through Internet of
Things, Web of Data & Citizen Participation
UCLM, Ciudad Real, 4 de Noviembre de 2015, 11:45-12:30
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://paginaspersonales.deusto.es/dipina
http://www.morelab.deusto.es
2. 2
Agenda
• Smarter Cities pillars:
– Internet of Things
– Web of Data
– Crowdsourcing
• Interdependence analysis:
– Society ageing
– Societal urbanisation
• Enablement of Smarter Inclusive Cities
3. 3
Internet of Things (IoT) Promise
• There will be around 25 billion devices connected to the
Internet by 2015, 50 billion by 2020
– A dynamic and universal network where billions of identifiable
“things” (e.g. devices, people, applications, etc.) communicate
with one another anytime anywhere; things become context-
aware, are able to configure themselves and exchange
information, and show “intelligence/cognitive” behaviour
4. 4
Internet of Things: Challenges
1. To process huge amounts of data supplied by “connected
things” and to offer services as response
2. To research in new methods and mechanisms to find,
retrieve, and transmit data dynamically
– Discovery of sensor data — both in time and space
– Communication of sensor data: complex queries (synchronous),
publish/subscribe (asynchronous)
– Processing of great variety of sensor data streams: correlation,
aggregation and filtering
3. Ethical and social dimension: to keep the balance between
personalization, privacy and security
5. 5
IoT Enabling Technologies
• Low-cost embedded computing and communication
platforms, e.g. Arduino or Rapsberry PI
• Wide availability of low-cost sensors and sensor networks
• Cloud-based Sensor Data Management Frameworks:
Xively, Sense.se
Democratization of Internet-connected Physical Objects
8. 8
Nature of Data in IoT
• Heterogeneity makes IoT devices hardly interoperable
• Data collected is multi-modal, diverse, voluminous
and often supplied at high speed
• IoT data management imposes heavy challenges on
information systems
9. 9
User-generated Data: Google Maps vs.
Open Street Map
• OSM is an excellent cartographic product driven by user contributions
• Google Maps has progressed from mapping for the world to mapping from the world,
where cartography is not the end product, but rather the necessary means for:
– Google’s autonomous car initiative, combine sensors, GPS and 3D maps for self-driving cars.
– Google’s Project Wing: a drone-based delivery systems to make use of a detailed 3D model
of the world to quickly link supply to demand
• By connecting the geometrical content of its Google Maps databases to digital traces
that it collects, Google can assign meaning to space, transforming it into place.
– Mapping by machines if not about “you are here”, but to understand who you are, where
you should be heading, what you could be doing there!
10. 10
CrowdSensing
• Individuals with sensing and computing devices collectively
share data and extract information to measure and map
phenomena of common interest
11. 11
Personal Data
• Defined as "any information
relating to an identified or
identifiable natural person
("data subject")”
12. 12
Social Open Innovation
• Novel solution to a social problem that
is more effective, efficient, sustainable,
or just than current solutions.
– New ideas (products, services and models)
that simultaneously meet social needs and
create new social relationships
13. 13
CAPS: Collective-awareness Platforms
for Sustainability and Social Innovation
• Aims at designing and piloting online platforms creating
awareness of sustainability problems and offering
collaborative solutions based on networks (of people, of
ideas, of sensors), enabling new forms of social innovation.
• Examples:
– Open Democracy, Open Policy Making
– Collaborative/Shared Economy
– Collaborative making co-creation
14. 14
Linked Data
• “A term used to describe a recommended best practice for
exposing, sharing, and connecting pieces of data, information,
and knowledge on the Semantic Web using URIs and RDF.“
• Allows to discover, connect, describe and reuse all sorts of data
– Fosters passing from a Web of Documents to a Web of Data
• In September 2011, it had 31 billion RDF triples linked through 504 millions of
links
• Thought to open and connect diverse vocabularies and semantic
instances, to be used by the Semantic community
• URL: http://linkeddata.org/
15. 15
Linked Data Principles
1. Uses URIs to identify things
2. Uses HTTP URIs to enable those
things to be dereferenced by both
people and user agents
3. Provides useful info (structured
description and metadata) about a
thing/concept referenced by an URI
4. Includes links to other URIs to
improve related information
discovery in the web
16. 16
Linked Data Life Cycle
• Linked Data must go through several stages (several
iterations on Linkage) before are ready for exploitation:
17. 17
Linked Data by IoT Devices
• Modelling not only the sensors but also their features of
interest: spatial and temporal attributes, resources that
provide their data, who operated on it, provenance and so on
– With SSN, SWEET, SWRC, GeoNames, PROV-O, … vocabularies
18. 18
Avoiding Data Silos through
Semantics in IoT
• Cut-down semantics is applied to enable machine-
interpretable and self-descriptive interlinked data
– Integration – heterogeneous data can be integrated or one
type of data combined with other
– Abstraction and access – semantic descriptions are
provided on well accepted ontologies such as SSN
– Search and discovery – resulting Linked Data facilitates
publishing and discovery of related data
– Reasoning and interpretation –new knowledge can be
inferred from existing assertions and rules
19. 19
Actionable Knowledge from
Linked Data
• Don’t care about the data sources (sensors) care about
knowledge extracted from their data correlation &
interpretation!
– Data is captured, communicated, stored, accessed and shared
from the physical world to better understand the surroundings
– Sensory data related to different events can be analysed,
correlated and turned into actionable knowledge
– Application domains: e-health, retail, green energy,
manufacturing, smart cities/houses
20. 20
Towards Actionable Knowledge:
Converting to and Visualizing Open Data
• labman: data management system for research organizations which
enables to correlate researchers, publications, projects, funding, news …
– http://www.morelab.deusto.es
• euro e-lecciones, social data mining in Twitter to visualize trends for the
last European elections
– http://apps.morelab.deusto.es/eu_elections
• teseo, conversion and visualization of the distribution by genre and topics
of PhD dissertations in Spain. These data was extracted from site
https://www.educacion.gob.es/teseo/irGestionarConsulta.do
– http://apps.morelab.deusto.es/teseo
• intellidata, bank transaction analysis in different streets and
neighborhoods in Madrid and Barcelona
– http://apps.morelab.deusto.es/intellidata/
22. 22
Bringing together IoT and Linked Data:
Sustainable Linked Data Coffee Maker
• Hypothesis: “the active collaboration of people and
Eco-aware everyday objects will enable a more
sustainable/energy efficient use of the shared
appliances within public spaces”
• Contribution: An augmented capsule-based coffee
machine placed in a public spaces, e.g. research
laboratory
– Continuously collects usage patterns to offer
feedback to coffee consumers about the energy
wasting and also, to intelligently adapt its
operation to reduce wasted energy
• http://socialcoffee.morelab.deusto.es/
23. 23
Social + Sustainable + Persuasive +
Cooperative + Linked Data Device
1. Social since it reports its energy consumptions via social
networks, i.e. Twitter
2. Sustainable since it intelligently foresees when it should be
switched on or off
3. Persuasive since it does not stay still, it reports misuse and
motivates seductively usage corrections
4. Cooperative since it cooperates with other devices in order
to accelerate the learning process
5. Linked Data Device, since it generates reusable energy
consumption-related linked data interlinked with data from
other domains that facilitates their exploitation
25. 25
What is Big Data?
• "Big Data are high-volume, high-velocity, and/or
high-variety information assets that require new
forms of processing to enable enhanced decision
making, insight discovery and process optimization“
Gartner, 2012
– Opportunity to encounter insights in new and emerging
data streams and contents and to answer previously
considered beyond the scope questions
• Enabled by Open Source frameworks such as Hadoop
and Spark
26. 26
Features of Big Data
• The structure (or lack thereof) and size of Big Data
that makes it so unique
• Represents both significant information and the way
this information is analyzed
– "Big Data" represents a noun – "the data" - and a verb –
"combing the data to find value.“
• Interpretation of Big Data can bring about insights
which might not be immediately visible or which
would be impossible to find using traditional
methods.
27. 27
Why Big Data?
• We're generating more content than ever before, but in
many cases it leads to more questions and fewer answers.
– What is happening in the atmosphere?
– Which candidate do voters prefer?
– Which movies, books, and TV shows are going to satiate the public's
appetite?
– Which trends are coming down the road?
• Technology can drive the business:
– Finding "competitive advantages," getting "data on the board's
agenda" and driving "innovative products and startups.“
• http://econsultancy.com/es/blog/63365-three-reasons-why-big-data-is-
awesome
30. 30
The need for Smart Cities
• Challenges cities face today:
– Growing population
• Traffic congestion
• Space – homes and public space
– Resource management (water and energy use)
– Global warming (carbon emissions)
– Tighter city budgets
– Aging infrastructure and population
31. 31
Society Urbanisation & Ageing
• Urban populations will grow by an estimated 2.3 billion over the
next 40 years, and as much as 70% of the world’s population will
live in cities by 2050
[World Urbanization Prospects, United Nations, 2011]
• By 2060, 30% of European population will be 65 years or older
[EUROSTAT. Demography report 2010. “Older, more numerous and diverse Europeans”, March 2011.]
32. 32
What is a Smart City?
• Smart Cities improve the efficiency and
quality of the services provided by governing
entities and business and (are supposed to)
increase citizens’ quality of life within a city
– 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
– Or go for big companies’ “smart city in a box”
solutions
33. 33
What is a Smart Sustainable City?
A smart sustainable city is an innovative city that uses
information and communication technologies and
other means to improve quality of life, efficiency of
urban operation and services, and competitiveness,
while ensuring that it meets the needs of present and
future generations with respect to economic, social and
environmental aspects
https://itunews.itu.int/en/5215-What-is-a-smart-sustainable-city.note.aspx
36. 36
What is an Ambient
Assisted City?
• A city aware of the special needs of ALL its citizens,
particularly those with disabilities or about to lose
their autonomy:
– Elderly people
• The "Young Old" 65-74
• The "Old" 75-84
• The "Oldest-Old" 85+
– People with disabilities
• Physical
• Sensory (visual, hearing)
• Intellectual
37. 37
Age-friendly Smarter 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]
39. 39
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?
• We should start talking about Big (Linked) Data
40. 40
• Smart Cities seek the participation of citizens:
– To enrich the knowledge gathered about a city
not only with government-provided or networked
sensors' provided data, but also with highly
dynamic user-generated data
• BUT, how can we ensure that users and their
generated data can be trusted and has enough
quality?
– W3C has created the PROV Data Model, for provenance
interchange
Citizen Participation
41. 41
• There is a need to analyze the impact that
citizens may have on improving, extending
and enriching the data
– Quality of the provided data may vary from one
citizen to another, not to mention the possibility
of someone's interest in populating the system
with fake data
• Duplication, miss-classification, mismatching and data
enrichment issues
Problems associated to
User-provided Data
42. 42
Urban Intelligence / Analytics
• Broad Data aggregates data from heterogeneous sources:
– Open Government Data repositories
– User-supplied data through social networks or apps
– Public private sector data or
– End-user private data
• Humongous potential on correlating and analysing Broad
Data in the city context:
– 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
43. 43
Smarter Cities
• Smarter Cities cities that do not only manage their
resources more efficiently but also are aware of the
citizens’ needs.
– Human/city 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 cities
deployment
Smarter Cities= Internet of Things + Linked Data + citizen
participation through Smartphones + Urban Analytics
44. 44
Data challenges of Smart
Cities
• Data coverage and access (openness)
• Data integration and interoperability (data standards) –
overcoming the silo and resistance to change
• Data quality and provenance: veracity (accuracy, fidelity),
uncertainty, error, bias, reliability, calibration, lineage
• Quality, veracity and transparency of data analytics
• Data interpretation and management issues
• Paradigm shift towards data-driven decision making
• Security and privacy: stem data breaches and fraud
• Skills and organizational capabilities and capacities
47. 47
Standardization in Smart Cities:
Vocabularies and Indicators
• UNE 178301 rule developed by AENOR (Spanish Association of
Normalization and Certification) establishes a set of requisites for the
reuse of Open Data generated by Public Administrations in Smart Cities.
– http://www.aenor.es/aenor/actualidad/actualidad/noticias.asp?campo=1&codigo=3526
4#.VjmsffmrQU1
• ISO 37120:2014 indicators a) themes and b) energy example
49. 49
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, Zaragoza &
Majadahonda involved
http://iescities.eu
50. 50
IES Cities Stakeholders
• Citizens:
– Users collaborate in the definition of the digital entity of the city.
– Citizen produce and consumes contents (super-prosumer concept).
• SMEs:
– IES Cities will allow the creation of services benefiting the local businesses.
• ICT-developing companies:
– The platform will enable the chance to create new apps and services based on
user needs, bringing new possibilities and added value.
• Public administration:
– The interaction with the users will enable them to improve and foster the use of
their deployed sensors in urban areas and open databases
51. 51
IES Cities Objectives
• To create a new open-platform adapting the technologies and over taking
the knowledge from previous initiatives.
• To validate and test a set of predefined urban apps across the cities.
• To validate, analyse and retrieve technical feedback from the different
pilots in order to detect and solve the major incidences of the technical
solutions used in the cities.
• To adequately achieve engagement of users in the pilots and measure
their acceptability during the validations.
• To maximize the impact of the project through adequate dissemination
activities and publication of solutions upon a Dual-license model.
55. 55
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
2015-2017,
Bilbao council involved
http://welive.eu
56. 56
What´s WeLive (II)
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
57. 57
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
58. 58
Key Area WeLive Innovation and added value
Open Data
WeLive will provide an Open Data Toolset which will enable to handle the whole life cycle
of what is starting to be termed as Broad Data, i.e. a combination of Open Data, Social Data,
Big Data and private data.
• Open Data Toolset will provide tools to capture, transform, adapt, link, store, publish
and search for data which may be consumed by innovative public service apps.
Open
Services
Open Services Framework centred on two key abstractions, namely building blocks and
app templates.
• Factorize the capabilities offered by a city or its stakeholders as a set of building blocks
which can be easily combined with each other to give place to composite services.
• Exemplary service templates composed of several building blocks so that stakeholders
can personalize them and turn them into new public service app instances.
Open
Innovation
Tackle the whole innovation process phases: a) conceptualization, b) voting and
selection, c) funding, d) development and e) promotion and f) exploitation.
• WeLive will focus on how to pass from innovation to adoption, by democratizing the
creation process and fostering public-private partnership that will jointly exploit the
outcomes of the innovation process.
User-
centric
services
Personalization of public service apps based on user profile and context.
• A key element, named Citizen Data Vault, will represent a single sign-on point for a user
• Decision Engine will enable stakeholders to retrieve statistics about the usage and app
consumption and demand patterns of the different stakeholder groups.
• Visual Composer, a tool to enable every stakeholder, even citizens, to visually compose
their own services will be offered.
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WeLive Marketplace
(Java EE)
WeLive Player
Citizen Data Vault
(PubSubHubBub)
Decision Engine
(JBoss Drools 6)
Open Innovation Area
(Java EE)
Propose
Building blocks
Get profile
Update data
Building blocks
Data Mashup
Publish new
Building blocks
Idea generation
from citizen
Get Public Service
App
Use existing Building
Blocks
Idea
Generation
Idea evaluation
and selection
Idea
refinement
Idea
implementation NEED
Develop building
blocks/open service
from scratch
Visual composer
(HTML5/CSS3)
WeLive Vision/Architecture
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City4Age: Elderly-friendly City
services for active and healthy ageing
• Aims to act as a bridge between the European Innovation Partnerships (EIP)
on Smart Cities and Communities & Active and Healthy Ageing (EIP AHA)
• Demonstrate that Cities play a pivotal role in the unobtrusive collection of
“more data”and with “increased frequency” for comprehending individual
behaviours and improving the early detection of risks
H2020 project 2016-
2018, PHC 21, Madrid is
involved
61. 61
SIMPATICO
• 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,
Xunta Galicia is involved
63. 63
I have a dream … the citizen-
empowered inclusive City
• Smart Cities must ensure social equity, economic viability
and environmental sustainability, enabled by:
– IoT: Smart Objects, e.g. enabling technology for inclusive cities which
allows to collect data, e.g. people transiting through a given area
– Web of Data: Open Data from a given council should be linked to real-
time data gathered by sensor data (physical) and prosumed data by
users (virtual sensors) BROAD DATA
– Citizen participation: smartphones running Location-aware Open
Data apps which recommend to surrounding citizens and visitors
according to their profile and capabilities
• User-conscious apps should adapt to the capabilities of different users,
their devices and current context
64. 64
I have a dream … the citizen-
empowered inclusive City
65. 65
Enabling Smarter Cities through Internet of
Things, Web of Data & Citizen Participation
UCLM, Ciudad Real, 4 de Noviembre de 2015, 11:45-12:30
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://paginaspersonales.deusto.es/dipina
http://www.morelab.deusto.es
66. 66
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
67. 67
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