BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//TRUSTS - ECPv6.15.14//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.trusts-data.eu
X-WR-CALDESC:Events for TRUSTS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20201001T110000
DTEND;TZID=Europe/Vienna:20201001T120000
DTSTAMP:20260410T192541
CREATED:20200811T135046Z
LAST-MODIFIED:20200811T135046Z
UID:1415-1601550000-1601553600@www.trusts-data.eu
SUMMARY:Privacy Preserving Technologies for Trusted Data Spaces
DESCRIPTION: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. \nBut 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? \nExperts 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. \nMUSKETEER 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.
URL:https://www.trusts-data.eu/event/privacy-preserving-technologies-trusted-data-spaces/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20201003T100000
DTEND;TZID=Europe/Vienna:20201003T163000
DTSTAMP:20260410T192541
CREATED:20200811T133730Z
LAST-MODIFIED:20200811T133730Z
UID:1407-1601719200-1601742600@www.trusts-data.eu
SUMMARY:Women in Data Science Vienna
DESCRIPTION: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. \nAnyone interested in data science\, no matter what professional background or gender\, is invited. The event is free. \nAgenda \n\n9:00 Breakfast and registration\n10:00 Welcome and opening remarks\n10:30 Julia Neidhardt\, Postdoctoral Researcher\, Vienna University of Technology\n11:15 Coffee Break/ networking\n11:30 Brigitte Lutz\, Data Governance Coordinator\, City of Vienna\n12:15 Lunch break/ networking\n13:15 Jillian Augustine\, Data Scientist\, Mondi Group\n14:00 Coffee Break/ networking\n14:15 Annalisa Cadonna\, Postdoctoral Researcher\, Vienna University of Economics and Business\n15:00 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\n16:00 Aperitif Reception/ Networking
URL:https://www.trusts-data.eu/event/women-in-data-science-vienna/
LOCATION:BDO Austria\, Am Belvedere 4\, Vienna\, 1100\, Austria
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20201007T150000
DTEND;TZID=Europe/Vienna:20201007T170000
DTSTAMP:20260410T192541
CREATED:20200923T141056Z
LAST-MODIFIED:20200923T153348Z
UID:1516-1602082800-1602090000@www.trusts-data.eu
SUMMARY:Privacy-Preserving Analytics and Quantum Computing
DESCRIPTION:Speaker: Andreas Trügler\, Leader DDAI COMET Module \n  \nPrivacy 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. \nThis 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. \nIn 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. \nIn 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.
URL:https://www.trusts-data.eu/event/privacy-preserving-analytics-and-quantum-computing/
LOCATION:online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20201029T120000
DTEND;TZID=Europe/Vienna:20201029T130000
DTSTAMP:20260410T192541
CREATED:20201006T083737Z
LAST-MODIFIED:20201022T075320Z
UID:1555-1603972800-1603976400@www.trusts-data.eu
SUMMARY:The core of TRUSTS: Innovating European data markets through trust\, security\, and federation
DESCRIPTION: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 \nModerator: Martin Kaltenböck\, SWC \nTechnical support: Thomas Thurner\, SWC \n  \nThis webinar is the start of our webinar series focusing on different aspects of the project. \n  \nTrust 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. \nIn 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: \n\nEU Data Strategy\nA market study of data markets\nCreating innovative data ecosystems with interconnected resources that can function harmoniously as a single transparent unit\nOperator business model options in a federated TRUSTS data ecosystem\nLegal and ethical pillars of TRUSTS\nTechnical foundation of TRUSTS to enable and maintain data sovereignty\nStakeholder engagement\n\n  \nPlease register here. \n 
URL:https://www.trusts-data.eu/event/1555/
LOCATION:online
CATEGORIES:Webinar
END:VEVENT
END:VCALENDAR