This document discusses smart cities and the role of data and analytics in creating smarter cities. It covers topics like what makes a city smart, the importance of citizen participation and crowdsourcing, using IoT and linked open data to generate insights. It also discusses challenges around ensuring quality of user-generated data and the need for human-centric collaborative services that leverage big data, crowdsourcing and engagement to improve quality of life in cities.
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
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)
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
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)
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
WeLive project Open Government We-Government Tools Open Innovation Open Services Open Data Focus Groups Public Service Apps Bilbao Smart Cities Sustainable Participative Cities
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.
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
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
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
Using Blockchain as a Platform for Smart Cities. Christian Nãsulea, Stelian-M...eraser Juan José Calderón
Using Blockchain as a Platform for Smart Cities
Christian Nãsulea, Stelian-Mihai Mic University of Bucharest, Romania.
ABSTRACT: Objectives: Incorporating new technologies into the development of smart cities means rethinking the way
different services are provided. From this perspective, Blockchain might represent the future of both smart cities and smart
communities as it offers new alteratives for individuals and institutions.
Prior Work: Blockchain was mainly perceived through its linkage with bitcoin, but recent developments have started
exploring the idea of using it for financial transactions, logistics and securing contracts. Tapscott & Tapscott (2016)have
acknowledged the potential the Blockchain Revolution had on redefining the idea of trust in both digital and local communities.
Blockchain technology has the ability to enhance transparency of local and regional institutions while also making it easier
to communicate sensitive data without compromising security and privacy.
Approach: We look at the different fields blockchain can have an impact on and we try to assess the viability of moving
towards an integrated platform for intermediating day-to-day activities between both institutions and individuals. We will
assess the advantages of digitizing and securing public and private data while also considering the potential risks this
process might involve.
Results: We aim to create a model of how blockchain might work in communities and assess its impact on the overall
economic and human development indicators.
Implications: Public administrators in many countries are starting to acknowledge blockchain’s potential in solving problems
for local communities our results will be a valuable starting point for developing local initiatives for using blockchain as a
platform for communications and transactions. Furthermore, a smart city must be a city where individuals can interact and
solve their issues quickly, using digital technologies for increased efficiency.
Value: Blockchain is thought to be the future of managing both public and private affairs. Countries such as Dubai, Singapore
and China are incorporating blockchain technology into developing smart cities. Blockchain makes us rethink many of the
different aspects of how communities can be organized, offering new alternatives and promising a more transparent and
efficient economic model.
Keywords: Digital Era, Economic Model, IoT, Technology
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
Digital First - Managing Disruption in the Digital EconomyIOT Collaborative
IOT Collaborative - Digital Innovation – Strategy, Process and Governance
November 1, 2018
Youngjin Yoo
Weatherhead School of Management
Case Western Reserve University
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
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
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
WeLive project Open Government We-Government Tools Open Innovation Open Services Open Data Focus Groups Public Service Apps Bilbao Smart Cities Sustainable Participative Cities
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.
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
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
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
Using Blockchain as a Platform for Smart Cities. Christian Nãsulea, Stelian-M...eraser Juan José Calderón
Using Blockchain as a Platform for Smart Cities
Christian Nãsulea, Stelian-Mihai Mic University of Bucharest, Romania.
ABSTRACT: Objectives: Incorporating new technologies into the development of smart cities means rethinking the way
different services are provided. From this perspective, Blockchain might represent the future of both smart cities and smart
communities as it offers new alteratives for individuals and institutions.
Prior Work: Blockchain was mainly perceived through its linkage with bitcoin, but recent developments have started
exploring the idea of using it for financial transactions, logistics and securing contracts. Tapscott & Tapscott (2016)have
acknowledged the potential the Blockchain Revolution had on redefining the idea of trust in both digital and local communities.
Blockchain technology has the ability to enhance transparency of local and regional institutions while also making it easier
to communicate sensitive data without compromising security and privacy.
Approach: We look at the different fields blockchain can have an impact on and we try to assess the viability of moving
towards an integrated platform for intermediating day-to-day activities between both institutions and individuals. We will
assess the advantages of digitizing and securing public and private data while also considering the potential risks this
process might involve.
Results: We aim to create a model of how blockchain might work in communities and assess its impact on the overall
economic and human development indicators.
Implications: Public administrators in many countries are starting to acknowledge blockchain’s potential in solving problems
for local communities our results will be a valuable starting point for developing local initiatives for using blockchain as a
platform for communications and transactions. Furthermore, a smart city must be a city where individuals can interact and
solve their issues quickly, using digital technologies for increased efficiency.
Value: Blockchain is thought to be the future of managing both public and private affairs. Countries such as Dubai, Singapore
and China are incorporating blockchain technology into developing smart cities. Blockchain makes us rethink many of the
different aspects of how communities can be organized, offering new alternatives and promising a more transparent and
efficient economic model.
Keywords: Digital Era, Economic Model, IoT, Technology
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
Digital First - Managing Disruption in the Digital EconomyIOT Collaborative
IOT Collaborative - Digital Innovation – Strategy, Process and Governance
November 1, 2018
Youngjin Yoo
Weatherhead School of Management
Case Western Reserve University
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
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
How disruptive technologies are reshaping the future of citiesSaeed Al Dhaheri
This keynote presentation was delivered at the Arab ICT Forum 2018 in Bhrain. The presentation highlights the role of disruptive technologies in reshaping the future of our cities. main focus is on Arab cities. Examples of how new technologies are changing our cities are highlighted.
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
What does smart mean - what characterizes smart. Let's get practical about what smart cities are and how to get there. We've along evolved along the eGovernment track into today's Digital Government - what does that mean to the public sector? will we improve our service delivery? will the user experience be better ... lots to do!
A smart city / Region with smart citizen and smart business
ecosystem. - prezentacja Sergiego Figueroli podczas konferencji „SMART_KOM. Kraków w sieci inteligentnych miast”, 7.11.2014 r., Kraków
Bordeaux - Operating Urban Data Platforms based on Minimal Interoperability M...Open & Agile Smart Cities
Presentation given by Christophe Colinet, City of Bordeaux at Open & Agile Smart Cities' annual Connected Smart Cities & Communities Conference 2020 on 23 January in Brussels, Belgium.
Smart Cities and Big Data - Research Presentationannegalang
Research presentation on smart cities (sensor technology) and big data, presented in a graduate course I took on Transmedia Design and Digital Culture.
Explanatory presentation of my final project for Technicity course. It consists of an analisys about what are the general conditions to take into account when setting up a framework for an Intelligent City project. These general conditions form the meta-framework.
To develop the present work, I hav econsidered a concrete example: that of i-Coruña, the Intelligent City Project for A Coruña (North-Western Spain)
Similar to Human-centric Collaborative Services : IoT, Broad Data, Crowdsourcing, Engagement & Co-production (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.
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
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
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
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
1. 1
Sustainable Mobility Summer Programme
Human-centric Collaborative Services : IoT, Broad Data, Crowdsourcing,
Engagement & Co-production
Modulo 4: Bike Intelligence Centers, Data Analytics, Dashboards, Internet of Things
24 de Junio de 2021
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://www.morelab.deusto.es
@dipina
2. 2
Agenda
• Smarter Cities
• ICT levers for Smarter Cities
• Citizen collaboration & co-creation for Smarter
Cities
• Data-centric collaborative web apps
3. 3
What is a Smart City?
• 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
4. 4
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 + Broad Data + Citizen
Participation through Smartphones + Urban Analytics
5. 5
ICT as levers of Smarter Cities: 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 improvinng 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 Analytics
• Great potential but huge difficulty associated!
6. 6
ICT as levers of Smarter Cities: Open
Collaboration
• Smarter environments cannot only be
reached through technological solutions
– We have to take advantage of the huge potential
of collective intelligence and citizenship capacity
to generate knowledge through crowdsourcing
techniques (or open distributed collaboration)
7. 7
ICT as levers of Smarter Cities: Social
Innovation + Open Government
• Digital Social Innovation: collaboration of citizenship through new
technologies to co-create knowledge and solutions addressed to an ample
range of social needs through Internet, e.g.:
– Social networks for those that suffer chronic diseases
– Platforms for citizen collaboration (Bike Intelligence Centre)
– Open data for transparency and good government linked to public
expenditure
• Collaborative Open Government: combination of Technology and
participation of different agents and sectors of society in government
– Give answer to citizen needs and demands with reduced time and budgets
– Improve the business environment providing better services to enterprises
and citizenship
– Adapt the service provision to the needs of a more digital economy
8. 8
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
10. 10
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 services 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!!!
11. 11
• 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 have enough
quality?
Citizen Participation
12. 12
• 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
13. 13
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
15. 15
Internet of Things (IoT): Motivation
• Do you want to know how many
steps you have walked?
• Do you want to know how many
kilometres you have driven?
• How many watts have you
consumed?
• How to improve the bike routes
in your city?
• Internet of Things can tell you
this and much more
17. 17
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
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
25. 25
Quantified Self & Life Logging
• Quantified self is self-knowledge through self-tracking with technology
– Movement to incorporate technology into data acquisition on aspects of a
person's daily life in terms of inputs (e.g. food consumed, quality of
surrounding air), states (e.g. mood, arousal, blood oxygen levels), and
performance (mental and physical)
• Self-monitoring and self-sensing through wearable sensors (EEG, ECG, video, etc.)
and wearable computing → lifelogging
• Application areas:
– Health and wellness improvement
– Improve personal or professional productivity
• Products and companies:
– Apple Watch, Fitbit tracker, Jawbone UP, Pebble, Withings scale
26. 26
Human-mediated Mobile Sensing
• The combination of varied data sources such as Humans,
SmartPhones and sensors gives place to Mobile
Sensing/Participatory Sensing & CrowdSensing → Broad Data
27. 27
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!
28. 28
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/
29. 29
Example of Linked Data Modelling
http://…/isb
n978
Programming the
SemanticWeb
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://juansequed
a.com/id
hasReview
hasReviewer
description
name
sameAs
livesIn
Juan Sequeda
name
http://dbpedia.org/Austin
30. 30
Actionable Knowledge from Urban Data
• Don’t care about the 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, transport,
manufacturing, smart cities/houses
32. 32
Crowdsourcing
• Crowdsourcing: process of obtaining needed services, ideas, or
content by soliciting contributions from a large group of people,
especially an online community, rather than from employees or
suppliers
– Collective intelligence is shared or group intelligence that emerges
from the collaboration, collective efforts, and competition of many
individuals and appears in consensus decision making.
• Some good examples:
– Wikipedia & WikiData (its data version)
• Tutorial: https://en.wikipedia.org/wiki/Wikipedia:Tutorial
– Open Street Map
– Stack Overflow: a language-independent collaboratively edited
question and answer site for programmers
33. 33
CrowdSensing
• Individuals with sensing and computing devices collectively
share data and extract information to measure and map
phenomena of common interest
34. 34
Wikipedia
• Goal is to create a comprehensive and neutrally written summary of existing
mainstream knowledge about a topic.
– Allows you to create, revise, and edit articles
– All information should be actually cited to reliable sources to evidence it is verifiable
• Information is edited through wiki markup (wikitext) or newer VisualEditor
– Wikipedia uses text codes called wiki tags to create particular elements (e.g. headings)
• Cheat sheet: https://en.wikipedia.org/wiki/File:Wiki_markup_cheatsheet_EN.pdf
• An infobox is a fixed-format table designed to be added to the top right-hand
corner of articles to present a summary of some unifying aspect that the articles
share and sometimes to improve navigation to other interrelated articles.
– https://en.wikipedia.org/wiki/Wikipedia:List_of_infoboxes
– https://en.wikipedia.org/wiki/Template:Infobox_organization
• Examples about editing Wikipedia contents:
– https://en.wikipedia.org/wiki/University_of_Deusto
– https://en.wikipedia.org/wiki/International_University_of_Andaluc%C3%ADa
35. 35
Wikidata & DBpedia
• Wikidata is a volunteer-created knowledge base of structured data that anyone
can edit
– Focused on structured data: possible for humans and computers alike to use the data
– Many ways to contribute to Wikidata: translate, write apps, add and edit data.
– It works with:
• Items – abstract concepts with theirs own and a unique identifier (Q###) and optionally a label,
description and aliases
• Statements are added to items: category of data as a property, while the data that describes
an item for a given property is known as a value.
– Example: entry for Everest mountain https://www.wikidata.org/wiki/Q513
– Documentation: https://www.wikidata.org/wiki/Wikidata:Tours
• DBpedia, a project to create a graph from Wikipedia data – allows users to
semantically query relationships and properties associated with Wikipedia
resources, including links to other related datasets
– Wikipedia articles consist mostly of free text, but also include structured information
embedded in the articles, such as "infobox" tables, categorisation information, images,
geo-coordinates and links to external Web pages.
• This structured information is extracted and put in a uniform dataset which can be queried:
https://dbpedia.org/sparql
• Sample queries
36. 36
• OpenStreetMap is a tool for creating and sharing map information.
– Anyone can contribute to OSM, and thousands of people add to the project
every day.
– After registering you can manipulate maps with the help of Edit with iD (in-
browser editor) or JOSM (Java OpenStreetMap editor)
– Represents physical features on the ground (e.g., roads or buildings) using tags
attached to its data structures (nodes, ways & relations).
– Data generated by the OpenStreetMap project are considered its primary
output.
• Its API accessed at: http://wiki.openstreetmap.org/wiki/API_v0.6
• Example (UNIA):
– http://www.openstreetmap.org/#map=18/37.99105/-3.46953
• Documentation: http://learnosm.org/en/
37. 37
Smart City Data
• Data is multi-modal and heterogeneous
• Noisy and incomplete
• Time and location dependent
• Dynamic and varies in quality
• Crowded sourced data can be unreliable
• Requires (near-) real-time analysis
• Privacy and security are important issues
• Data can be biased- we need to know our data!
• Data alone may not give a clear picture -we need contextual information,
background knowledge, multi-source information and obviously better
data analytics solutions…
38. 38
Smart Cities Data Exploitation
• Discovery: finding appropriate device and data sources
• Access: Availability and (open) access to data resources and data
• Search: querying for data
• Integration: dealing with heterogeneous devices, networks and data
(Semantic interoperability)
• Large-scale data mining, adaptable learning and efficient computing and
processing
• Interpretation: translating data to knowledge that can be used by people
and applications
• Scalability: dealing with large numbers of devices and a myriad of data
and the computational complexity of interpreting the data.
40. 40
IoT & Big Data
• The more data that is created, the better understanding and
wisdom people can obtain
41. 41
Scope of Advanced Analytics
Source: 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
What could happen in the future?
Information Layer
How is data managed and stored?
How can everyone
be more right…
….more often?
Descriptive
What has already happened?
Predictive
Prescriptive
How can we achieve the best outcome?
Cognitive
How can we learn dynamically?
Business
Value
Business
Value
▪ Reasoning
▪ Learning
▪ Natural Language
▪ Alerts & Drill Down
▪ Ad hoc Reports
▪ Standard Reports
▪ Big Data Platforms
▪ Content Management
▪ RDBMS and Integration
▪ Machine learning
▪ Forecasting
▪ Statistical Analysis
▪ Optimization
▪ Rules
▪ Constraints
Big Data & Analytics
42. 42
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
44. 44
WeLive H2020 Project Aim
WeLive provides tools and a methodology to promote co-
creation where data publishers, citizens and developers
can meet each other and co-design and co-exploit
personalized and sustainable public services for real needs
and actively take part in the value-chain of a municipality
or a territory
WeLive provides tools and a methodology to promote co-
creation where data publishers, citizens and developers
can meet each other and co-design and co-exploit
personalized and sustainable public services for real needs
and actively take part in the value-chain of a municipality
or a territory
Citizens
Citizens Companies
Companies
P. Administration
P. Administration
45. 45
Why current ICT support is not enough?
Beyond Open Data Government Portals
CITIZENS have
NO SKILLS or TOOLS to
utilize COMPLEX DATA
LOW BENEFITS
from OPEN DATA
published by CITIES
46. 46
WeLive approach
Stakeholder Collaboration + Public-private Partnership →
IDEAS >> APPLICATIONS >> MARKETPLACE
Stakeholder Collaboration + Public-private Partnership →
IDEAS >> APPLICATIONS >> MARKETPLACE
WeLive offers tools to transform the needs into ideas
WeLive offers tools to transform the needs into ideas
Tools to select the best Ideas and create the B. Blocks
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
A way to compose the
Building Blocks into mass
market Applications which
can be exploited through the
marketplace
1
2
3
Video
47. 47
WeLive CO-CREATION Approach
• In WeLive, a two-phase CO-CREATION approach is accomplished:
– Diverse stakeholders participate in distinct collaborative activities and
events (CO-CREATION ACTIVITIES)
– The whole process is assisted by https://dev.welive.eu/ PLATFORM
– NEEDs are mapped into IDEAS which are realized into ARTEFACTS: Mobile
or Web Urban Apps
48. 48
Co-creation assets in WeLive
The methodological approach is based on four main concepts:
an emerging or existing NEED that a citizen submits to
the PA.
an open CHALLENGE call launched by the PA to involve
the users to participate to solve the reported need.
a possible solution IDEA proposed by a stakeholder to
solve a pending need or to participate to a challenge.
ARTEFACT: useful web service (Building Block), open
data or web/mobile app published addressing the
challenge to be consumed by the users
Resource /
Artefact
WeLive platform
Need
Challenge
Idea
49. 49
Full Co-Creation Lifecycle Support
co-business
co-maintenance
co-implementation
co-ideation
WeLive Platform
WeLive Hosting Environments
CO-DESIGN
The core WeLive Platform supports the first phases
of the co-creation lifecycle by giving tools for
innovating and implementing services together
CO-EXPLOITATION
WeLive Hosting Environments support co-maintenance
of co-created services. Preliminary co-business support
has been implemented into the CNS Marketplace
CO-CREATION
Co-creation of SUSTAINABLE services requires
support for both co-design and co-exploitation
51. 51
Crowdsourcing & gamification are not
enough to truly engage users …
• Civil servants are reluctant to moderate the
contents provided by end-users
• End users are usually initially motivated, but their
contributions are diminished in time:
– Receiving no feedback is discouraging
– If the benefit is not clear or reward immediate →
eventually user contributions diminish
• Conclusion: Human Computation is appealing but
requires (moderation + automatic quality
assessment) and continuous high involvement
52. 52
AUDABLOK: User-engagement for
for Data Refinement
• AUDABLOK explores how to turn consumers of open
data (public services) into prosumers:
– refining and enhancing contents, through incentivized
crowdsourcing, encouraging more proactive users
• Software framework to make open government data
portals increasable evolvable and sustainable in
time. HOW?
– By combining Human Computation & Internet of People
– KISS principle: Pull Request combined with Blockchain
53. 53
Engagement driven by Incentivization
• AUDABLOK improves citizen collaboration through
incentivisation (token economy) and recognition,
i.e., trustworthy recording of citizen collaborations
– Blockchain is used to deal with rewarding and recognition
aspects, i.e. higher co-creation of citizens
55. 55
AUDABLOK: Technical solution
• Integrate:
– Redmine – an open source issue management system for
handling issues raised from user-generated contributions
– Ethereum —an open source, public, blockchain-based
distributed computing platform and operating system
featuring smart contract (scripting) functionality—into
– CKAN open data management software—an open source
tool which makes data accessible by providing tools to
streamline publishing, sharing, finding, and using data.
• AUDABLOK behaves as smart oracle which feeds
Ethereum network, recording citizen-initiated Open
Data refinement transactions
56. 56
Creando un Sistema GIS Participativo
• Un sistema GIS cuenta comúnmente con tres subsistemas:
– Subsistema de datos: Se encarga de la entrada y salida de datos. Debe de
estar preparado para acoger datos espaciales.
– Subsistema de visualización y edición: Permite representar y editar los datos
de manera visual, normalmente con el uso de mapas y proyecciones.
– Subsistema de análisis: Ofrece funciones para analizar los datos espaciales.
• Aspectos a considerar:
– Sistemas de coordenadas (WebMercator —EPSG:3857, WGS84 —EPSG:4326)
y proyecciones (Mercator y la equirrectangular)
– Formatos de datos espaciales (GPX, KML, GeoJSON)
– Servidor de mapas (OpenMapTiles) y BBDD geospacial (PostGIS)
– Pintado de mapas y capas (OpenLayers)
57. 57
Bizkaia Bike Intelligence
• Available at: http://bizkaiabikeintelligence.deustotech.eu/en/datacentre
Frontend
API
Smart
Citizen
Web-server
Base de
datos
API
BIC
BID App
BikeCitizens
...
Otras
fuentes
(administraciones,
sensores fijos…)
Usuario final
Almacenamiento y
cálculo espacial
Servicio web,
procesamiento de
datos
Visualización y
tratamiento
dinámico
bizkaiabik....deustotech.eu
58. 58
Bizkaia Bike Intelligence Architecture
Django/GeoDjango
Django REST
framework
Postgres /
PostGIS
ORM
API
Smart
Citizen
Web Server
OpenLayers,
Bootstrap
Pintado y estilizado de
mapas
Frontend
BD
--BID data-->
<-- llamada a API--
--página web -->
<--URL petición--
templates
urls.py
views.py
HTTP POST/GET
UI
<-- llamada API--
Se encarga de presentar el
HTML y los archivos estáticos
correspondientes
Recoge los datos de la BD y los
renderiza junto con la plantilla
correspondiente
Gestiona las peticiones y les
asigna una vista
60. 60
Conclusions
• Human-centric and driven technology must help us
progressing towards more sustainable territories
– Innovations associated to hardware and software, data
modelling and analytics should be combined with novel
user-engagement and collaboration approaches
• From data to knowledge, i.e. decision making there is
a long path
– Open Data, crowdsourced data must be leveraged to give
place to next generation smart data collaborative
solutions, e.g. Bike Intelligence Centre
• Smarter Cities: better informed people aided by
more human-centric technology and services.
61. 61
Sustainable Mobility Summer Programme
Human-centric Collaborative Services : IoT, Broad Data, Crowdsourcing,
Engagement & Co-production
Modulo 4: Bike Intelligence Centers, Data Analytics, Dashboards, Internet of Things
24 de Junio de 2021
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://www.morelab.deusto.es
@dipina