Roberto Di Bernardo

Head of Open Government group (R&D Laboratory), Engineering Ingegneria Informatica SpA / BDVA

Roberto Di Bernard is Senior Researcher at Engineering Ingegneria Informatica SpA (Italy) and head of the Open Government Group (part of Open Public Service Innovation Lab). Electronic Engineer. In 2014, he got a Master in “Clinical Engineering” from University of Trieste, while in 2003 a Master in “Internet Software Engineering” from University of Catania. Since 2004 he has been working in Engineering R&D Laboratory. Involved in management and technical activities in many European projects, he is now working as R&D opportunity and networking developer for OPSI lab. His group leads and is involved in several European project, such as: TAILOR (ICT-48), PLATOON (DT-ICT-11), URBANITE (DT-Transformations-02), PathoCERT (SU-DRS02), Citizen City Maker (EIT Digital - Digital Cities). He is involved in the leadership of TF7.SG8 (Smart Governance and Smart Cities) of BDVA, co-leader of Water & ICT working group of Water Europe and leader of SWG3.5 (Public services, e-government, digital citizenship) of ECSO.

Roberto 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. 

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