“ subject centric world ” Collective Intelligence Overview Challenges and Opportunities 121/03/13

Outline  Collective Intelligence Concept  Collective Intelligence Ecosystem  Challenges 21/03/131st 2

Background  Science without Border research project  Inteligência Coletiva para Gestão de Projetos em Colaboração  no / (CNPq)  Dr. Eng Oscar Salviano, CTI (coordinator)  Dr. Henri Frederic Andres, NII (CTI visiting scientist)  Mr. Silvio Spinella, CTI  Mr. Jarbas Lopes Cardoso Junior, CTI  Dr. Eng Silvio Barbin, POLI / USP  Miss Karina Sugawara, CTI (administrative assistant) 21/03/131st 3

What is Collective Intelligence in one word ? 21/03/131st 4

Learning by experience Creating Synthesis - Evaluating Analyzing Applying Comprehension - understanding Knowledge - remembering Bloom/Anderson’s learning categories 21/03/135 1st

Collective Intelligence Interdisciplinary 21/03/131st 6 ACM 2008

How to define Collective Intelligence 7 21/03/13 Entities, human social entities such as groups, organizations and communities or intelligent agents Collective Capacity to acquire and apply knowledge Intelligence 1st

3 Collective Intelligence Challenges Social Translucence Serendipity Universal Semantic Locator Digital Ecosystem layer Problem-solving layer Platform layer

Community-Driven CI Services 21/03/131st 9 SaaS services CI discovering and extraction CI organisational management CI exposing and natural interaction Procedura l learning Problem- solving Decision- making Analysis Communities management Knowledge management Public Software Best practices Public Software Best practices Digital Ecosystem Synthetizing and filtering (Web 3.0) Communities Input (Web 2.0) Feedbacks Highly specialise services

Emergent Entreprise Technologies 21/03/131st 10 CI-Communigram

Collective Intelligence computing 11 Documents Notes Letters Photos Videos Maps Diagrams Sketches Expert contributions Charts Tables Pool of resources 1 Information search Semantic search Collective intelligence search Semantic enrichment Collaborative enrichment Problem-solving enrichment SoL UCL USL Collective Intelligence Ecosystem

CI-Communigram platform  Social network  Network of partners, of contacts  Producers  Community of users  + Project management functions  + Digital content management functions 21/03/1312 1st

€ Break down business objectives into a hierarchy of deliverables Find departments, competencies, and people and integrate them Engineering business communication Living Project plan Clear objectives Up-to-date Documentation Dynamic Deliverable Workflow Early-Warning System Integrate ideas, deliverables and related documentation CI-COMMUNIGRAMEcosystem 21/03/1313 1st

From CI software to CI hardware  Operation (+,*,/) Performance  hardware 10 ns software ns  Extended Jaccard 21/03/1314 1st Hardware: 1000 ns Software: ns

Collective Intelligence Hot Topics  Ontology-based approach for Collective Intelligence management in organisations and communities  Large scale multi-lingual management  Metaphore analysis for Assistive Technology  Expression analysis (MoodMe)  Collective Intelligence Codification in the economy of knowledge DNA coding 11/03/136º Seminário de TI do PCI/CTI 15

Social Challenges  How does solution quality of CI-based groups compare to individuals supported by comparable software?  How does CI-based group performance compare to the average individual?  How does CI-based group performance compare to the best individual? 21/03/131st 16

“ subject centric world ” Contact: 1721/03/13