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).

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)

9. UPM - Ar(ficial Intelligence
Department
Madrid’s i-Space
for Sustainability
(MiSS)
Prof. Oscar Corcho