European Big Data Value Forum Agenda by Whova

Seiler, Charlotte

AI Innovation Manager, Berlin Partner

I connect companies, startups and researchers in the field of AI innovation in Berlin. My background lies in Design Thinking with a strong focus on digital innovation.

Seiler, is speaking at

Parallel session on AI and Big Data for a Circular Economy

Application Track 5 - Smart society

November 3, 2020

3:30 pm - 5:00 pm

Speakers

Alicia Orós Francia (Speaker) Project coordinator, Pensumo
Dina Padalkina (Speaker) Founder, Circular Berlin
Seiler, Charlotte (Parallel session chair) AI Innovation Manager, Berlin Partner
Roberto Di Bernardo (Parallel session chair) Head of Open Government group (R&D Laboratory), Engineering Ingegneria Informatica SpA / BDVA
Charlotte Ducuing (Speaker) PhD fellow, KU Leuven Centre for IT and IP law
Andrew Collier (Speaker) Suez - Water Europe
Vega Rodrigálvarez (Parallel session chair) Project Manager, ITAINNOVA / Big Data Value Association

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.

Documents

Introduction Circular economy for cities Pensumo project Datafication of the Circular Economy (KUL) Water Europe

Spotlight: AI in Berlin

General track

November 4, 2020

9:00 am - 10:00 am

Speakers

Seiler, Charlotte (Session chair) AI Innovation Manager, Berlin Partner
Juri Stobbe (Speaker) Managing Partner Germany, Taival.com
Ella Kadas (Speaker) Managing Director, Nocturne GmbH
Rasmus Rothe (Speaker) Founder, Merantix
Thomas Wiegand (Speaker) Professor / Executive Director, TU Berlin / Fraunhofer Heinrich-Hertz-Institute

Description

The objective of this session is to showcase Berlin vibrant Artificial Intelligent community.

Berlin has a diverse AI ecosystem constituted of companies, startups, investors and community initiatives. It is also the leading hub for AI-Startups in Germany. Recently, various players have been seeking to collaborate further to establish Berlin sustainably as an international AI hub. Get to know main Berlin-based AI players and learn about the great opportunities Berlin offers to companies and AI-enthusiasts!

For more information, visit: https://www.berlin-partner.de/en//

Documents

Presentation from the chair

Application Track 5: Smart Society - Main Session

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:

"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.
“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.