BDVA i Spaces - Madrid's i-Space for Sustainability
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Data Innovation Spaces are identified by BDVA as a key instrument to foster the Data-Driven Innovation in Europe. They provide innovation and experimentation environments where companies in their respective ecosystems could have their data-driven and AI-related products and solutions piloted, tested, and exploited before going to the market. BDVA launches every year a process to identify and recognize relevant initiatives in Europe that meet specific quality criteria in infrastructures, services, projects, and sectors of application, ecosystem and sustainability (BDVA i-Spaces call for labels). During this session, we will present the concept of BDVA i-Spaces (as it is reflected in the BDVA SRIA), the process and steps of i-Spaces labeling, the value proposition of being an i-Space and activities and examples of collaboration. The session will also include examples of first-hand experience from three recognized i-Spaces: ITAINNOVA (DIH Aragon), UPM, and Demokritos NCSR (aheed DIH).
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BDVA i Spaces - Madrid's i-Space for Sustainability
- 1. UPM - Ar(ficial Intelligence Department Madrid’s i-Space for Sustainability (MiSS) Prof. Oscar Corcho
- 2. UPM Excellence in Ar=ficial Intelligence Vicerrectorado de Investigación, Innovación y Doctorado Knowledge and Research Areas in AI 23 Spanish Language University in European Programs on Big Data & AI AI Ranking of scien=sts in Spain 13 #1 ++ Other Research Groups (Applied Research Fields) AI Master Thesis per year ≈60 +200 Researchers in AI & Robo=cs Ar=ficial Intelligence Labs #1
- 3. Madrid’s i-Space for Sustainability (MiSS) UPM-Accenture «AI.NNOVATION SPACE» joint center Digital Innovation Hub in Artificial Intelligence & Robotics for Sustainable Development Goals UPM Artificial Intelligence Department Innovation & Technology for Human Development Center Supercomputing and Visualization Center of Madrid MiSS
- 4. MiSS Technical Capaci=es Madrid’s i-Space for Sustainability (MiSS) • Computing and storage infrastructure provided by CeSVIMA (Magerit-2 & Magerit 3 machines) providing around 100 parallel nodes with a total computing of ≈100 Tflops • Data integration and homogeneisation from unstructured, semistructured and structured data sources. • Text analysis over large corpora of texts, including text mining, probabilistic topic modelling, anonymisation services, etc. • Data sharing, including open and closed data catalogues about transport & mobility, smart cities, geography, etc. • Knowledge graph generation and ontology development • Advanced visualization through a virtual reality cave (5 Wall Barco Galaxy 3D Cave) • Evaluation of performance and dimensioning of database management systems, including relational and NoSQL databases, as well as data lakes.
- 5. MiSS Services for Companies Madrid’s i-Space for Sustainability (MiSS) • On-demand services for supporting projects focused on development and integration of solutions based on AI • “From ideas to prototypes. From prototypes to the market” • Customized access to MiSS capacities and data sets including data storage, curation, access, analysis and visualization. • Consultancy on data governance thanks to a wide experience in public/open and private/closed data management in the context of EU projects • Deployment of (open) data portals and data spaces, knowledge graphs and APIs. • Specific MSc on AI, Data Science, Statistical and Computational Information Processing, and additional Training Programmes in the area of AI for business. • Cross-cutting services aimed at improving and accelerating innovation and entrepreneurship processes for SMEs and startups
- 6. BDVA i-SPACE Label Benefits Madrid’s i-Space for Sustainability (MiSS) MiSS reached several benefits since the i-Space label was awarded: • Reinforcement of our international visibility in general terms • International recognition of “MiSS” and quality of mark of excellence about the maturity of our data space in terms of infrastructures, services provided or business impact. • Generation of trust in “MiSS” potential end users • Access to strategic groups and participation in flagship projects (e.g., Big Data Cluster at Madrid City Council). • Closer collaboration with all BDVA iSpaces for exchanging good practices and fostering trans-boundaries data innovation. • Motivation to keep improving MiSS capacities
- 7. MiSS Success Cases. An Example Collaborations with Consorcio Regional de Transportes de Madrid Needs: • Understand better the mobility patterns of senior citizens, so as to increase their usage of public transport, associated to a healthier life. • Demonstrated the added value of public transport card validation data • >300K users during years 2016, 2017 y 2018 Collaboration agreement • Funding for several MSc thesis on AI, related to this topic • Consultancy for the representation and sharing of this type of public data with strong privacy concerns Results • 1 MSc thesis presented and other two ongoing • A. Lacki. “Analysis and characterization of the public transport mobility of senior citizens”. July 2019. http://oa.upm.es/55886/
- 8. MiSS Success Cases. An Example Collaborations with Consorcio Regional de Transportes de Madrid • Descriptive models for characterisation of mobility patterns, relationships with standard users, etc. • Predictive models for the behaviour of individual users based on their mobility patterns (card validations)