Vega Rodrigálvarez

Project Manager, ITAINNOVA / Big Data Value Association

Vega Rodrigálvarez Chamarro (Female) is a Computer Engineer by Universitat Oberta de Catalunya (UOC). She works at ITAINNOVA since 2000. Now, she is project manager in the Big Data and Cognitive Systems at ITAINNOVA. She has collaborated in different R&D projects in different sectors such Telco, Logistics, Health, Energy, Public Administration on public (H2020, Celtic, Plan Avanza, CDTI) and private founded. Her technical experience and knowledge are focused on Big Data, Machine Learning and Non-structure databases. She is the representative of ITAINNOVA at BDVA.

Vega is speaking at

Application Track 5 - Smart society
November 3, 2020
3:30 pm - 5:00 pm

Speakers

Description

The session showcases examples of Circular Economy initiatives across Europe that integrate AI and Big Data solutions. The examples are drawn both from an urban and rural context.

Objectives:

  • Give examples on how a correct information flow is an enabler for circular economies
  • Create awareness on business models that can enable data-driven circularity

Further description:

The term " Smart Society " encompasses several areas, including the smart city, smart government, smart mobility and the Circular Economy. All these perspectives are fundamental to the development of societies that are sustainable and intelligently connected. The circular economy is a pillar of this " Smart Society ", an economic concept whose objective is that the value of products, materials and resources (e.g. water, energy) is maintained in the economy as long as possible, optimizing the use of them in an intelligent way. It also aims to minimize waste production and works towards implementing a new -non-linear- economy based on the principle of "closing the life cycle" of goods, services, waste, materials, water and energy. As in any process, artificial intelligence (AI) can play an important role in enabling this systemic change. During the event, expert speakers from different backgrounds will present examples and discuss aspects of the Circular Economy.

Application Track 5 - Smart society
November 5, 2020
2:00 pm - 3:30 pm

Speakers

  • Seiler, Charlotte (Chair) AI Innovation Manager, Berlin Partner
  • Roberto Di Bernardo (Chair) Head of Open Government group (R&D Laboratory), Engineering Ingegneria Informatica SpA / BDVA
  • Vega Rodrigálvarez (Chair) Project Manager, ITAINNOVA / Big Data Value Association
  • Tonia Sapia (Speaker) Marketing and Project Manager, FIWARE Foundation
  • Davor Meersman (Speaker) CEO, Open & Agile Smart Cities (OASC)
  • Stefan Höffken (Speaker) Head of Urban Data & Platform, Tegel Projekt GmbH
  • Kaisa Sibelius (Speaker) Project manager and coordinator of AI4Cities project, Forum Virium Helsinki
  • Benjamin Seibel (Speaker) Director CityLAB, Technologiestiftung Berlin

Description

The term ‘Smart Society’ encompasses several areas including smart city, smart governance, smart mobility and smart environment. All these perspectives are central to developing societies that are both sustainable and connected in a smart way. It is estimated that by 2050 two-thirds of the world population will live in urban areas, a trend which prompted the United Nations to establish ‘Sustainable Cities’ as one of their Sustainable Development Goals (i.e. SDG 11). Furthermore, the topic of urbanisation impacts several other SDGs (e.g. 1, 6, 8 et al.) and therefore must be considered as one of the key drivers of change in a sustainable transformation. 
A value chain built on AI and Big Data is a key enabler in the twin transition, requested by the Green Deal, towards a digital and green Europe, supporting the required systemic and cross-sectorial complexity of the addressed phenomena. 
The Smart Society track explores how cities are getting ready for a massive integration of AI and Big Data technologies to address their needs and how AI and Big Data can support local transitions towards a circular economy 
The track is split into two main subject areas: 
  1. "Smart City – challenges and good practices" - How are cities implementing AI and Big Data projects locally? How are cities pushing forward innovation in that field?  Which are the most promising models? Use cases across Europe will be shared: What are the success criteria for creating smart city applications? The question of public funding is examined as well as the difference in creating industry applications.
  2. “AI and Big Data for a Circular Economy” - The second subject area showcases examples of Circular Economy initiatives across Europe that integrate AI and Big Data solutions. The examples are drawn both from an urban and rural context. 

Application Track 5 - Smart society
November 5, 2020
3:45 pm - 4:45 pm

Speakers

Description

Concept:
The session showcases examples of Smart Government initiatives across Europe that integrate AI, Digital Twins and Big Data solutions. A focus lies on co-creating services with the use of the 3 aforementioned technologies.

Objectives:
  • Identifying a possible input for a shared policy brief with recommendations on the gaps discovered in the session
  • Identifying and checking the impact, trust and attitudes of civil servants and citizens concerning disruptive technologies
  • Identifying how easy would be to replicate the DUET digital twin, dedicated to urban policy making, to other cities and regions in Europe

Further description: 
The term " Smart Society " encompasses several areas, including the smart city, smart government, smart mobility and the Circular Economy. All these perspectives are fundamental to the development of societies that are sustainable and intelligently connected. Smart Government is a pillar of this " Smart Society ", providing the needed infrastructure and technology which allows a good communication and understanding between citizens and tools provided by Governments. Among benefits of Smart Governance are:
  • Enhanced participation of citizens
  • Easing the access to information
  • Better democracy
  • Improving the work of policy decision makers 

Decision-making will become more democratic and effective, both in the short and long term, through the development and use of Digital Twins for policy impact exploration and experimentation in entire cities and regions
Artificial intelligence (AI), Digital Twin and Big Data can play an important role in smart government processes. During the event, expert speakers from different backgrounds will present examples and discuss aspects of smart government projects.

This session is jointly organised by:

DUET project EU https://www.digitalurbantwins.com/ DUET's use of Digital Twins truly changes the policy game, disrupting the field of Smart Cities and transitioning to a new age of Responsive Cities. With Responsive Cities, solutions are not designed around citizens, they are designed with the citizen placed firmly at the center of the action. DUET aims to create digital twins for more open and collaborative urban decisions. Therefore  by creating digital replicas of a city, people, no matter their background, can use the Digital Twins 3D and 2D interfaces for easy policy impact exploration and experimentation across entire cities and regions.

URBANITE project EU https://urbanite-project.eu/ Create an in-depth knowledge on the implications of the use of the disruptive technologies (e.g. AI), in the public sector and other stakeholders of the mobility and urban transformation value chain. Urbanite will provide, by means of a co-creation strategy, a long-term sustainable ecosystem model that articulates the expectations and attitudes in the use of disruptive ICT for planning in the mobility domain. This model will be supported with the provision of a data management platform and algorithms for data – driven decision – making validated by piloting four use-cases.

PolicyCloud project EU   https://policycloud.eu/ The Policy Cloud project aims to harness the potential of digitisation, big data and cloud technologies to improve the modelling, creation and implementation of policy. In three years (2020-2023) the project will address challenges faced by many businesses and public administrations of improving how they make policy decisions by accessing and using data. Four use cases are being developed in the following fields:
  • Radicalisation
  • Food value chain
  • Urban environment
  • Policies for citizens

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