arv13 smar citieslearning-glue
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ARV 2013: Smart Cities Learning WS
Multi-channel, multi-objective, multi-context services:the glue of the smart cities learning ecosystem
Mar Pérez-Sanagustín, Universidad Carlos III de MadridIlona Buchem, Beuth University of applied Sciences
ARV ‘13 Smart Cities Learning WS28th January 2013
ARV 2013: Smart Cities Learning WS
Outline
1. Proposal: A Glue service
2. Contribution: etiquetAR, a glue service
3. A glocalised scenario: Braking myths
4. Conclusions
ARV 2013: Smart Cities Learning WS
We are free to choose our own networks for membership and our own level of engagement in each network. We are free, as well, to shape our degrees of connection to local space. As a result, we can each create our own customized – and evolving – fusion of local and global identities.
Josua Merowitz, The Rise of Glocality: New senses of place and Identity in the Global Village“
“
“
Glocalities, where the local and
the global co-exist
Unique, constanly evolving, mechanism through which we learn
ARV 2013: Smart Cities Learning WS
Challenge
We need services to support our learning and making sense of distributed knowledge between the global and the local diversity, while participating in an ever evolving, lifelong learning process within smart cities ecosystems.
ARV 2013: Smart Cities Learning WS
ProposalProposal
ARV 2013: Smart Cities Learning WS
ProposalProposal
Support for multi-directional conversations trough multiple channels to allow agents to create and choose different identities in diverse communication patterns.
• Promoting participation• Assuring egalitarian dialogue• Supporting crowdsourcing
ARV 2013: Smart Cities Learning WS
Support for diverse objectives guiding agents in building their learning paths and connect to different information sources.
• Capture• Curation• Search• Analyze• Visualize
ProposalProposal
ARV 2013: Smart Cities Learning WS
ProposalProposalSupport for interacting and exploring of
urban spaces fostering serendipity:• Support for recognizing patterns,
opportunities and potentials of random information
• Support for connecting physical and local
ARV 2013: Smart Cities Learning WS
ContributionA glue Service
Supporting the desing of tag-based experiences for the smart city
ARV 2013: Smart Cities Learning WS
ContributionA glue Service
• Multi-channel: Creating Personal tags for augmenting and extending urban elements
• Multi-objective: tags with resources to different profiles
• Multi-context: Tags for relating physical space with virtual information
ARV 2013: Smart Cities Learning WS
ContributionA gloalised scenario
Breaking myths
Objective: Involve citizens from different countries in a discussion about the urban elements of their cities to break prejudices and learn about their culture and history.
Actors: Students & Citizens from Paris, London and Berlin
Service: etiquetAR to augment the city urban elements
Environment: Paris, London and Berlin augmented with QR tags
ARV 2013: Smart Cities Learning WS
1. Students from different countries generate a tag to augment a urban element
2. Students access to other students tags to ask questions
about this element related to myths and prejudices
3. Citizens interact and answer questions
4. Students owner of tags update the information using information from
citizens.
ARV 2013: Smart Cities Learning WS
ConclusionsA gloalised scenario
• Glue services for supporting smart cities learning: multi-channel, multi-objective and multi-objective
• etiquetAR, a glue service
• Breaking myths, a glocalised smart city learning scenario
More GLUE services for the smart city.
Explore how these services have to be used.
ARV 2013: Smart Cities Learning WS
Thank you
Mar Pérez-Sanagustín: http://mperezsanagustin.wordpress.com/
Ilona Buchem http://ibuchem.wordpress.com/
ARV 2013: Smart Cities Learning WS
IntroductionLearning through glocalities
• Glocalities are unique and constantly evolving
• Citizens are lifelong learners permanently learning with and within the city
• Citizens build up their learning ecosystems to be constantly evolving
ARV 2013: Smart Cities Learning WS
How should we define the services to support our learning and making sense of distributed knowledge between the global and the local diversity, while participating in an ever evolving, lifelong learning process within smart cities ecosystems?
IntroductionChallenge
ARV 2013: Smart Cities Learning WS
To provide services that interconnect all agents and orchestrate the ecosystem, both integrating technologies involved and mediating the information flow.
Challenge