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Ambient Assisted Cities: Age-
friendly Smart Cities
• The main attribute of a Smart City is efficiency
• An Age-friendly city is an inclusive and accessible
urban environment that promotes active ageing
• The main attributes of an Ambient Assisted
(Smarter) City are:
– Livable
– Accessible
– Healthy
– Inclusive
– Participative
[WHO Global Network of Age-friendly Cities]](https://image.slidesharecdn.com/cyberparksv1-170215153140/75/Technological-pillars-to-enable-Smarter-Collaborative-Inclusive-Environments-Internet-of-Things-Web-of-Data-and-Citizen-Participation-12-2048.jpg)
Uploaded byDiego López-de-Ipiña González-de-Artaza
Technological pillars to enable Smarter (Collaborative + Inclusive) Environments: Internet of Things, Web of Data and Citizen Participation
The document outlines technological and methodological pillars for creating smarter environments through collaboration, participation, and the Internet of Things (IoT). It emphasizes the importance of citizen engagement and data utilization in urban planning to improve public spaces, address urbanization challenges, and enhance city living. Additionally, it discusses various European projects aimed at facilitating co-creation and open government solutions to promote inclusivity and responsiveness in urban developments.
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Technological pillars to enable Smarter (Collaborative + Inclusive) Environments: Internet of Things, Web of Data and Citizen Participation
- 1. 1 Technological pillars toenable Smarter (Collaborative + Inclusive) Environments: Internet of Things, Web of Data and Citizen Participation Workshop Co-Creating of Inclusive and Mediated Public Spaces 13-16 February, Lisbon, Portugal Dr. Diego López-de-Ipiña González-de-Artaza [email protected] http://paginaspersonales.deusto.es/dipina http://www.morelab.deusto.es
- 2. 2 Agenda 1. Introduction: Technologicaland methodical pillars for Smarter Environment Enablement 2. Part I: Smarter Environments Theoretical Grounding – What is a Smart Environment? – Technological enablers: IoT, Web of Data and Persuasive Technologies – Technology mediated Human Collaboration: need for co-creation – Killer application domains: Open Government & Age-friendly cities 3. Part II: Review of core enablers for Smarter Environments – Co-creation methodologies: Service Design and Design for Thinking – Internet of Things and Web of Things – Web of Data: Linked Data, Crowdsourcing & Big Data – Persuasive technologies and Behaviour Change 4. Part III: Implications for CyberParks – European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul – Reflections on the need for collaboration among stakeholders mediated with technology to realize CyberParks 5. Conclusions and practical implications
- 3. 3 Smarter Public OpenSpaces • Smarter Spaces spaces that do not only manage their resources more efficiently but also are aware of the citizens’ needs. – Human/space interactions leave digital traces that can be compiled into comprehensive pictures of human daily facets – Analysis and discovery of the information behind the big amount of Broad Data captured on these smart spaces deployment Smarter Places= Co-Creation/Citizen Participation + Internet of Things + Broad Data + Analytics
- 4. 4 Smart Environments • SmartCity is a place where urban services are improved in efficiency by applying ICT, for the benefit of its inhabitants and economic development • Smart Territories innovative geographic areas, able to build their own competitive advantages taking into account their context • Smart Places balance among economic competitiveness, social cohesion, innovative creativity, democratic governance and environmental sustainability – Satisfying the basic and self-fulfilment needs in the Maslow pyramid
- 5. 5 Challenges for SmarterCities • Enable life, work and leisure environments which allow our self- fulfilment without disregarding basic needs and their development in welfare society • Answer to the urbanization demands in a economically feasible, socially inclusive and sustainable manner – BUT… apply traditional solutions to the needs of urban development unsustainable urban ecology footprint • Generate more electricity or new water resources not addressing inefficiencies in distribution
- 6. 6 ICT as leversof Smarter Cities (I) • ICTs will help in the urbanization and ageing problems associated to cities iff the following 3 premises are fulfilled: 1. Social equity 2. Economic feasibility and 3. Environmental sustainability • ICTs are key to leverage the existing urban infrastructure and maximize the socioeconomic throughput • A more rational and extensive usage of ICT in cities and places a quicker and more economic fulfilment of urban challenges
- 7. 7 ICT as leversof Smarter Cities (II): Big | Open | Personal Data • Big potential for enterprises, social entities and governments if there is a better usage of infrastructure and information (IoT + Open + Personal data) in urban environments: – Big Data: extensive analysis of heterogeneous urban data to offer answers, indicators and visualizations to help improving the decision criteria upon the challenges of cities and territory management • It will allow us to progress towards more disruptive approaches – All agents should benefit from a more efficient usage of data processing technology to give place to Urban or Physical Spaces Analytics • Great potential but huge difficulty associated!
- 8. 8 ICT as leversof Smarter Cities (III): Open Collaboration • Smarter environments cannot only be reached through technological solutions – We have to take advantage of the huge potential of collective intelligence – citizenship capacity to generate knowledge through crowdsourcing techniques and co-creation – where ideation and production are socialized • Citizens are increasibly becoming prosumers & makers!
- 9. 9 Social Open Innovation •Novel solution to a social problem that is more effective, efficient, sustainable, or just than current solutions (CAPS). – New ideas (products, services and models) that simultaneously meet social needs and create new social relationships
- 10. 10 ICT as leversof Smarter Cities (V): Ethical Implications • Personal data are the “new petrol” of XXI century, being exploited by big corporations such as Google, Apple (publicity + marketing) BUT … – There are multiple distributed personal data silos among different Internet providers and institutions which have to be interoperable – There is a need for individuals to have a greater control of their own personal data • Governments must: – Regulate, protect, legislate to guarantee the rights and opportunities of such data providers (we) – Legislate and manage non-functional aspects (accessibility – technological inclusion, privacy, data protection and ethics to achieve responsible technological solutions
- 11. 11 Personal Data • Definedas "any information relating to an identified or identifiable natural person ("data subject")”
- 12. 12 Ambient Assisted Cities:Age- friendly Smart Cities • The main attribute of a Smart City is efficiency • An Age-friendly city is an inclusive and accessible urban environment that promotes active ageing • The main attributes of an Ambient Assisted (Smarter) City are: – Livable – Accessible – Healthy – Inclusive – Participative [WHO Global Network of Age-friendly Cities]
- 13. 13 The need forParticipative Cities • Not enough with the traditional resource efficiency approach of Smart City initiatives • “City appeal and dynamicity” will be key to attract and retain citizens, companies and tourists • Only possible by user-driven and centric innovation: – The citizen should be heard, EMPOWERED! » Urban apps to enhance the experience and interactions of the citizen, by taking advantage of the city infrastructure – The information generated by cities and citizens must be linked and processed » How do we correlate, link and exploit such humongous data for all stakeholders’ benefit? • Demand for Big (Linked) Data for enabling Urban Analytics!!!
- 14. 14 Broad Data Analytics •Broad Data aggregates data from heterogeneous sources: – Open Government Data repositories – User-supplied data w/social networks or apps (OSM, Wikipedia) – Public private sector data or – End-user private data • Huge potential on correlating and analysing Broad Data: – Leverage digital traces left by citizens in their daily interactions with the city to gain insights about why, how and when they do things – We can progress from Open City Data to Open Data Knowledge • Energy saving, improve health monitoring, optimized transport system, filtering and recommendation of contents and services
- 15. 15 From Open Datato Open Knowledge
- 16. 16 Agenda 1. Introduction: Technologicaland methodical pillars for Smarter Environment Enablement 2. Part I: Smarter Environments Theoretical Grounding – What is a Smart Environment? – Technological enablers: IoT, Web of Data and Persuasive Technologies – Technology mediated Human Collaboration: need for co-creation – Killer application domains: Open Government & Age-friendly cities 3. Part II: Review of core enablers for Smarter Environments – Co-creation methodologies: Service Design and Design for Thinking – Internet of Things and Web of Things – Web of Data: Linked Data, Crowdsourcing & Big Data – Persuasive technologies and Behaviour Change 4. Part III: Implications for CyberParks – European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul – Reflections on the need for collaboration among stakeholders mediated with technology to realize CyberParks 5. Conclusions and practical implications
- 17. 17 Co-Creation of publicservices: service design approach through Design Thinking Inspiration Ideation Implementation
- 18.
- 19. 19 Internet of Things… connecting information, people and things
- 20. 20 6 facts aboutIoT 1. IoT is the term used to describe any kind of application that connected and made “things” interact through the Internet 2. IoT is a communication network connecting things which have naming, sensing and processing abilities 3. IoT is the next stage of the information revolution, i.e. the inter-connectivity of everything from urban transport to medical devices to household appliances 4. Intelligent interactivity between human and things to exchange information & knowledge for new value creation 5. IoT is not just about gathering of data but also about the analysis and use of data 6. IoT is not just about “smart devices”; it is also about devices and services that help people become smarter
- 21. 21 Value of IoT •Information within the Internet of Things creates value in a never-ending value loop consisting of 5 stages (CREATE … to ACT):
- 22.
- 23. 23 Linked Data Example http://…/isb n978 Programmingthe Semantic Web 978-0-596-15381-6 Toby Segaran http://…/publi sher1 O’Reilly title name author publisher isbn http://…/isb n978 sameAs http://…/rev iew1 Awesome Book http://…/rev iewer Juan Sequeda http://juanseque da.com/id hasReview hasReviewer description name sameAs livesIn Juan Sequedaname http://dbpedia.org/Austin
- 24.
- 25. 25 Data has changed •90% of the world’s data was created in the last two years • 80% of enterprise data is unstructured • Unstructured data growing 2x faster than structured
- 26. 26 Analytics in theSmart City: Data- driven decision making
- 27.
- 28. 28 IoT & BigData enabling Smart Spaces • The more data that is created, the better understanding and wisdom people can obtain
- 29.
- 30. 30 Agenda 1. Introduction: Technologicaland methodical pillars for Smarter Environment Enablement 2. Part I: Smarter Environments Theoretical Grounding – What is a Smart Environment? – Technological enablers: IoT, Web of Data and Persuasive Technologies – Technology mediated Human Collaboration: need for co-creation – Killer application domains: Open Government & Age-friendly cities 3. Part II: Review of core enablers for Smarter Environments – Co-creation methodologies: Service Design and Design for Thinking – Internet of Things and Web of Things – Web of Data: Linked Data, Crowdsourcing & Big Data – Persuasive technologies and Behaviour Change 4. Part III: Implications for CyberParks – European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul – Reflections on the need for collaboration among stakeholders mediated with technology to realize CyberParks 5. Conclusions and practical implications
- 31. 31 IES Cities Project •The IES Cities project promotes user-centric mobile micro-services that exploit open data and generate user-supplied data – Hypothesis: Users may help on improving, extending and enriching the open data in which micro-services are based • Its platform aims to: – Enable user supplied data to complement, enrich and enhance existing datasets about a city – Facilitate the generation of citizen-centric apps that exploit urban data in different domains European CIP project 2013-2016, Bristol, Majadahonda, Trento & Zaragoza involved http://iescities.eu
- 32.
- 33. 33 What´s WeLive (I) Anovel We-Government ecosystem of tools (Live) that is easily deployable in different PA and which promotes co- innovation and co-creation of personalised public services through public-private partnerships and the empowerment of all stakeholders to actively take part in the value-chain of a municipality or a territory Open Data Open Services Open Innovation H2020 project 2015-2018, Bilbao, Helsinki, Novi Sad and Trneto councils involved http://welive.eu
- 34. 34 WeLive proposes… Transform thecurrent e-government approach into… WeLive Open and Collaborative Government Solution = We- government + t-government + I-government + m-government We- All stakeholders are treated as peers and prosumers t- Providing Technology tools to create public value l- To do more with less by involving other players and the PA as orchestrator m- Utilisation of mobile tech. for public services delivery
- 35. 35 How? (I) Stakeholder Collaboration+ Public-private Partnership IDEAS >> APPLICATIONS >> MARKETPLACE WeLive offers tools to transform the needs into ideas Tools to select the best Ideas and create the B. Blocks A way to compose the Building Blocks into mass market Applications which can be exploited through the marketplace
- 36. 36 How? (II): WeLiveService co- creation approach Inspire and involve Challenge and Idea Generation Idea Evaluation and Selection Idea Refinement Suggested collaborators list Suggested PSAs list to user Suggested BBs and Datasets list to realize the PSA Get required BBs list Publish PSAs Idea Implementation PSA Deployment Open Service Layer Core BB Open Data Stack Research Query Get required Datasets list BBs and PSAs Registry and Execution environment Communities Analytics Dashboard Query mapper
- 37. 37 Scenario-driven Artefact Definition perCity 25/05/2016 1 – Agree a common methodology for stakeholders involvement and scenarios definition (benchmarking) 2a – Activities execution for insights gathering – stakeholder consultation process 2b –Deep analysis of city strategy and pilot focus, current IT and open data infrastructure 3a – Scenario #1 definition 3b – Scenario #2 definition 4a – New public service #1 4b – New public service #2 4g – New public service #7 4h – New public service #8 5 – Set of building blocks
- 38.
- 39. 39 WeLive Web UIController
- 40.
- 41. 41 WeLive Apps: Bilbozkatu AllWeLive apps available at: https://play.google.com/store/search?q=welive_project
- 42. 42 • Addresses theneed to offer a more efficient and more effective experience to companies and citizens in their daily interaction with Public Administration (PA) – Providing a personalized delivery of e- services based on advanced cognitive system technologies and by promoting an active engagement of people for the continuous improvement of the interaction with these services. H2020 project 2016-2018, EURO6, Sheffield, Trento & Xunta Galicia involved http://www.simpatico-project.eu/
- 43. 43 PA traditional e-servicesvs. SIMPATICO approach
- 44. 44 Conclusion • We needcooperative cities and territories which are inclusive, participative, aware and responsive to the needs of all societal sectors – ICT intertwined with co-creation through multi- stakeholder involvement are key to achieve smarter environments • To do more with what we have, without having to invest big amounts, but taking advantage of information that is already available, transforming knowledge, democratizing its access and usage, protecting and regulating its usage, and easing decision making among different actors
- 45. 45 Learning Goals 1. Knowabout the key methodologies and technological enablers of Smarter Environments 2. Realize why the right technology is not enough to enable acceptable Smarter Environments 3. Understand how to democratize technology usage so that it serves to empower users in an inclusive manner to foster better more acceptable Smart Environments 4. Gain an understanding on how stakeholder engagement and partipation approaches are being successfully combined with technology 5. Learn what technologies and user involvement methods are available and how to bring them together to pursue CyberParks goals
- 46. 46 Technological pillars toenable Smarter (Collaborative + Inclusive) Environments: Internet of Things, Web of Data and Citizen Participation Workshop Co-Creating of Inclusive and Mediated Public Spaces 13-16 February, Lisbon, Portugal Dr. Diego López-de-Ipiña González-de-Artaza [email protected] http://paginaspersonales.deusto.es/dipina http://www.morelab.deusto.es
- 47. 47 References • Innovating theSmart Cities, Syam Madanapalli | IEEE Smart Tech Workshop 2015, http://www.slideshare.net/smadanapalli/innovating-the- smart-cities • Kitchin, R., Lauriault, T. and McArdle, G. (2015) Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards. Regional Studies, Regional Science 2: 1-28, http://rsa.tandfonline.com/doi/full/10.1080/21681376.2014.983149 • Towards Smart City: Making Government Data Work with Big Data Analysis, Charles Mok, 24 September 2015, http://www.slideshare.net/mok/towards-smart-city-making-government- data-work-with-big-data-analysis-53176591 • Mining in the Middle of the City: The needs of Big Data for Smart Cities, Dr. Antonio Jara, http://www.slideshare.net/IIG_HES/mining-in-the-middle- of-the-city-the-needs-of-big-data-for-smart-cities
- 48. 48 References • Schema.org -Extending Benefits, Richard Wallis, http://www.slideshare.net/rjw/schemaorg-extending- benefits?qid=9ecd1fa6-cfac-460d-9bbb- 065879c46aee&v=&b=&from_search=3 • SDA-SmartCity – Overview and Challenges, Alessandra Mileo. Senior Research Fellow, Insight Centre for Data Analytics, NUI Galway, http://ict-citypulse.eu/page/tutorial/smartcity- tutorial-eswc2015_files/ESWC-SD-INTRO-small.pdf • Internet of Things: Concepts and Technologies, Payam Barnaghi, http://www.slideshare.net/PayamBarnaghi/internet-of- things-concepts-and-technologies
- 49. 49 References • Internet ofThings towards Ubiquitous and Mobile Computing – http://research.microsoft.com/en- us/UM/redmond/events/asiafacsum2010/presentations/Guihai- Chen_Oct19.pdf • 5 key questions to ask about the Internet of Things – http://www.slideshare.net/DeloitteUS/5-questions-the-iot-internet-of-things • Internet Connected Objects for Reconfigurable Eco-systems – https://docbox.etsi.org/workshop/2012/201210_M2MWORKSHOP/zz_POSTE RS/iCore.pdf • Internet of Things and Big Data – Bosch, August 2015 – https://www.bosch- si.com/media/bosch_software_innovations/media_landingpages/connectedw orld_1/bcw_2016/bcw_1/download_page_1/download_page/bcw16_mongo db_collateral_followup_sponsor.pdf • The internet of things and big data: Unlocking the power – http://www.zdnet.com/article/the-internet-of-things-and-big-data-unlocking- the-power/
- 50. 50 References • Deconstructing theInternet of Things – https://jenson.org/deconstructing-the-iot/ • Mobile in IoT Context ? Mobile Applications in "Industry 4.0“ – http://www.slideshare.net/MobileTrendsConference/karol-kalisz-vitaliy-rudnytskiy- mobile-in-iot-context-mobile-applications-in-industry-40 • Inside the Internet of Things (IoT) – A primer on the technologies building the IoT – Deloitte – http://dupress.com/articles/iot-primer-iot-technologies-applications/ • Internet of Things (IoT) - We Are at the Tip of An Iceberg – Dr. Mazlan Abbas – http://www.slideshare.net/mazlan1/internet-of-things-iot-we-are-at-the-tip-of-an- iceberg • Infographic: What are Beacons and What Do They Do? – https://kontakt.io/blog/infographic-beacons/ • iBeacon – https://en.wikipedia.org/wiki/IBeacon
- 51. 51 References • ITU News– What is a smart sustainable city?, – https://itunews.itu.int/en/5215-What-is-a-smart-sustainable- city.note.aspx • Frost & Sullivan's Predictions for the Global Energy and Environment Market, – http://www.slideshare.net/FrostandSullivan/frost-sullivans- predictions-for-the-global-energy-and-environment-market • Fog Computing with VORTEX – http://www.slideshare.net/Angelo.Corsaro/20141210-fog • What Exactly Is The "Internet of Things"? – A graphic primer behind the term & technologies – http://postscapes.com/what-exactly-is-the-internet-of-things- infographic
- 52. 52 References • The Big'Big Data' Question: Hadoop or Spark? – http://www.datasciencecentral.com/profiles/blogs/the-big-big-data-question- hadoop-or-spark • Hadoop vs. Spark: The New Age of Big Data – http://www.datamation.com/data-center/hadoop-vs.-spark-the-new-age-of- big-data.html • Comparing 11 IoT Development Platforms – https://dzone.com/articles/iot-software-platform-comparison • Moving from Descriptive to Cognitive Analytics on your Big Data Projects, Gene Villeneuve, IBM, http://www.slideshare.net/ibmsverige/gene-villeneuve-moving- from-descriptive-to-cognitive-analytics • Virtualisation and Validation of Smart City Data. Dr Sefki Kolozali. Dr Payam Barnaghi