TRUSTS

European Big Data Value Forum 2020
2020-11-03 - 2020-11-05 | KOSMOS Berlin, Karl-Marx-Allee 131a, Berlin, 10243, Germany
The European Big Data Value Forum (EBDVF) is the flagship event of the European Big Data and Data-Driven AI Research and Innovation community organized by the Big Data Value Association (BDVA) and the European Commission (DG CNECT). EBDVF 2020 in Berlin aims to continue the success of previous editions where on average around 1000 participants – including industry professionals, business developers, researchers, and policymakers coming from over 40 countries – took part.

The core of TRUSTS: Innovating European data markets through trust, security, and federation
2020-10-29 12:00 - 13:00 (Europe/Vienna) | online
Speakers: Peter A. Bruck, DIO / Natalia Simon and Silvia Castellvi, IDSA / Ioannis Markopoulos, Forthnet / Bert Utermark, G1 Governance One / Charlotte Ducuing, KU Leuven / Benjamin Heitmann, Fraunhofer FIT
Moderator: Martin Kaltenböck, SWC
Technical support: Thomas Thurner, SWC

This webinar is the start of our webinar series focusing on different aspects of the project.

Trust is a crucial precondition so that people feel secure and are willing to share their data to contribute to a pan-European data ecosystem in which European values like personal rights and GDPR are highly respected.
In this session you will learn more about the EU project TRUSTS within the H2020 programme and an Austrian perspective on it. You will be introduced to:

EU Data Strategy
A market study of data markets
Creating innovative data ecosystems with interconnected resources that can function harmoniously as a single transparent unit
Operator business model options in a federated TRUSTS data ecosystem
Legal and ethical pillars of TRUSTS
Technical foundation of TRUSTS to enable and maintain data sovereignty
Stakeholder engagement

Please register here.

Privacy-Preserving Analytics and Quantum Computing
2020-10-07 15:00 - 17:00 (Europe/Vienna) | online
Speaker: Andreas Trügler, Leader DDAI COMET Module

Privacy and data security are one of the main pillars of our economic and social system and are at the heart of the technical advantage of many companies in a competitive global environment. The foundation on which secure systems are build is cryptography and one of the greatest breakthroughs in modern cryptography is the ability to perform calculations on encrypted data.
This means although the true content of your data is never revealed and stays fully private you can still benefit from machine learning evaluations or remote calculations on a server. Data can be exchanged with customers or industry partners in a secure and privacy-preserving manner so that the actual content of your personal phone data or the actual details about your production methods remain private and fully secure.
In this session you will get an overview about cutting edge cryptographic methods and an introduction to the current state of the art of homomorphic encryption, multi-party computation and so called zero-knowledge proofs. Homomorphic encryption, one of the methods that allows computation on encrypted data, is also regarded as a quantum secure or post-quantum algorithm, since in contrast to conventional cryptographic methods there exists no quantum algorithm that can break its security.
In the second part of this session you will also learn about this fascinating new era of quantum computation, where the strange and astounding effects of quantum mechanics are used to solve problems with exponential speedup compared to classical computers. This means by entering the quantum world it is possible to create new machine learning algorithms that learn almost instantaneously or to solve optimization problems in seconds where a classical supercomputer would take ages. You will get an introduction and reality check on quantum computers and we will discuss how they work, where the current problems are and why they may change the world of data analytics completely.

Women in Data Science Vienna
2020-10-03 10:00 - 16:30 (Europe/Vienna) | BDO Austria, Am Belvedere 4, Vienna, 1100, Austria
The Vienna Data Science Group and Women in AI organise the first Women in Data Science Conference in Vienna – the one-day event that aims to inspire, connect and bring more diversity into the field of data science.
Anyone interested in data science, no matter what professional background or gender, is invited. The event is free.
Agenda

9:00 Breakfast and registration
10:00 Welcome and opening remarks
10:30 Julia Neidhardt, Postdoctoral Researcher, Vienna University of Technology
11:15 Coffee Break/ networking
11:30 Brigitte Lutz, Data Governance Coordinator, City of Vienna
12:15 Lunch break/ networking
13:15 Jillian Augustine, Data Scientist, Mondi Group
14:00 Coffee Break/ networking
14:15 Annalisa Cadonna, Postdoctoral Researcher, Vienna University of Economics and Business
15:00 Panel discussion – Data science career paths – what makes it an exciting career choice? Panelists: Amy Larson, Image Scientist and Technical Expert, International Atomic Energy Agency; Martina Paul, Director Software Operations, ITSV GmbH, Jelena Milosevic, Mondi Group; Regina Babo, Erste Bank
16:00 Aperitif Reception/ Networking

Privacy Preserving Technologies for Trusted Data Spaces
2020-10-01 11:00 - 12:00 (Europe/Vienna)
Our consortium member IDSA is on a mission to bring sovereignty and trust to data ecosystems while the Reference Architecture Model (IDS-RAM) is offering a framework to leverage more data in a trusted way.
But how could it be executed in highly constrained environments? What can the technology could offer when data cannot be moved or disclosed at all? What are the State-of-the-Art solutions that could meet the highest standards for the health sector or in the Industry when it comes to sensitive information?
Experts from the MUSKETEER project – “Machine learning to augment shared knowledge in federated privacy-preserving scenarios” – will present and discuss their efforts to bring more privacy preserving technologies to help this demand of trustworthiness in data sharing ecosystems.
MUSKETEER is developing an industrial data platform with scalable algorithms for federated and privacy-preserving machine learning techniques, detection and mitigation of adversarial attacks, and a rewarding model capable of fairly monetizing datasets according to the real data value.

TRUSTS in the financial industry - enabling data sovereignty beyond existing solutions
2020-09-29 11:00 - 12:30 (Europe/Vienna)
Views on IDS with Alexandra Garatzogianni, LUH | Christos Roupas, Relational | Benjamin Heitmann, Fraunhofer FIT | Gianna Avgousti, eBOS – organised by TRUSTS in cooperation with OpenDEI

Data Spaces Dialogue: Design Principles for European Data Spaces #2
2020-09-01 11:00 - 12:00 (Europe/Vienna)
International Data Spaces (IDS) is not a blank sheet but a vivid and strong initiative which already proved that it is ready to take responsibility for implementing the European Data Strategy and helping to create the European Data Space. IDSA is offering to contribute knowledge and technology to the envisaged high impact project on European data spaces, to provide data infrastructure services to the operations of the nine European data spaces through its support organization, to provide advisory, knowledge and expertise to the European Data Act, and to provide a community of practice and a network of hubs and collaborations to support knowledge sharing and build up of required skills in the data economy across Europe and beyond European borders.
In doing so, the implementation of the European Data Strategy will benefit from an established network of expertise, data spaces knowledge embodied in a mature reference architecture model, and ready to use software artefacts. This will speed up “time to market” of the strategy implementation. IDSA looks back on five years of paving the way for a fair data economy in Europe and globally and is ready to go.
IDSA and Open DEI aim to define common design principles for the implementation of European Data Spaces. To this end, IDSA together with the OPEN DEI consortium have launched several activities – such as this webinar – aimed at digital transformation projects and the OPEN DEI community to collaborate in defining the data spaces’ design principles.

33rd Bled eConference: Enabling technology for a sustainable society
2020-06-29
The Bled eConference has been shaping electronic interactions since 1988. Implementation of novel information technologies leads enterprises and governments towards digital transformation. Digital transformation will not be successful, if sustainable aspect of human and social development will not be considered. The European Commission emphasises that in the future, competitiveness will be dependent on the ability to move towards sustainability, resource-efficiency and the ability to exploit the advantages of digital technologies.
In the context of digital society, implementation of digital technologies and novel solutions to achieve higher efficiency, effectiveness and competitive advantage is insufficient. Society calls for different economy models; more responsible, righteous and less exploitative. Digital technologies should be used to implement and design business models, which will be sensitive for sustainable development in all aspects – economic, environmental and social (triple bottom line).
The 33rd Bled eConference “Enabling Technology for a Sustainable Society” will take place online this year.

Role of Data Innovation Spaces and Data Driven Innovation Hubs in the European digital transformation
2020-06-24 10:00 - 12:00 (Europe/Vienna)
The concept “Data Innovation Space” (BDVA i-Spaces) was first introduced in BDVA SRIA 2014, as a mechanism to foster data driven innovation in Europe at national and regional level. I-Spaces were conceived as environments for experimentation and innovation, bringing together not only technical aspects around data, but also advanced services that allow companies to test and exploit their data driven solutions and business models before going to the market.
During the past years, other instruments and concepts have arisen in Europe (Data Platforms, Competence Centers, Digital Innovation Hubs, …), most of them sharing with Data Innovation Spaces many aspects about how to bring data driven innovation closer to industry, and more specifically to small actors (SMEs, start-ups, …).
At the same time, the BDVA i-Spaces have evolved, aligning to some extent with some of these initiatives, widening their scope and fostering collaboration to exploit potential synergies. The last step on this roadmap is the future European federation of Data Driven Innovation Hubs, that will be created under the project EUHubs4Data (starting in September 2020) aimed at improving data driven innovation at regional level based on data sharing and federation of services at European scale.
During this workshop, we will discuss about the role that these Data Innovation Spaces (i-Spaces) will play in the new European landscape combining three different dimensions (DIHs and networks, European Common Data Spaces and Testing and Experimentation Facilities), and how EUHubs4Data project could act as a link between H2020 and the new Framework Programme in terms of data driven innovation.
Speakers:

Anne-Marie Sassen (EC DG CNECT A.2. Technology & Systems for Digitising Industry, Project Officer)
Kimmo Rossi (EC DG CNECT, G.1. Data Policy and innovation, Head of Research & Innovation)
Cécile Huet (EC DG CNECT, A.1. Robotics & AI, Deputy Head of Unit)
Reinhard Lafrenz (euRobotics, Secretary General, DIHNET & RODIN projects)
Daniel Sáez (ITI Strategic Intelligence & Technology Transfer Director , BDVA BoD, EUHubs4Data project)

Workshop:
The workshop will consist of an initial statement from each of the speakers (5-10 min), followed by a discussion panel based on the three mentioned dimensions of Data Innovation Spaces.

European Digital Innovation Hubs
European Common Data Spaces
Testing and Experimentation Facilities on AI

Online Plenary
2020-06-22 10:00 - 2020-06-23 18:00 (Europe/Vienna)
All TRUSTS consortium members meet physically in a plenary – across tasks and workpackages – every six months. The plenary in June will take place online due to the COVID-19-crisis.
This is an internal meeting.

Views on IDS: Industrial Marketplaces Based on Trust
2020-06-18 14:00 - 15:30 (Europe/Berlin)
Data marketplaces are discussed on many different levels and are in the focus of those who drive digitisation.
In order to get insights from different perspectives, the International Data Spaces Association (IDSA) invited three representatives of data marketplaces: A H2020 research project, funded by the European Commission, called MARKET 4.0, another research project, which is funded by the German ministry for economic affairs and energy – BMWi, called KI Marktplatz, and Advaneo as representative of the manufacturing industry side whose data marketplace is already a product available at the market.
The guests will share their insights on latest challenges and opportunities of marketplaces for data and algorithms. The IDSA as host of this session will bring in their ideas on how marketplaces will change over time due to the IDS standard for data sovereignty.
