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X-ORIGINAL-URL:https://www.sustainablecomputing.eu
X-WR-CALDESC:Events for The Sustainable Computing Lab
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TZID:UTC
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TZOFFSETFROM:+0000
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TZNAME:UTC
DTSTART:20190101T000000
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TZID:Europe/Paris
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TZNAME:CEST
DTSTART:20190331T010000
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DTSTART:20191027T010000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20191106T210000
DTEND;TZID=UTC:20191106T223000
DTSTAMP:20260429T184650
CREATED:20190902T101344Z
LAST-MODIFIED:20190902T101344Z
UID:1479-1573074000-1573079400@www.sustainablecomputing.eu
SUMMARY:BUCH WIEN – Lange Nacht der Bücher
DESCRIPTION:ARBEITSTITEL: „Wie die Digitalisierung unsere Welt verändern“ \nIm Rahmen der BUCH WIEN – Lange Nacht der Bücher \nMittwoch\, 6. November 2019\, 21 Uhr – ca. 22.30 Uhr\, Mastercard-Bühne\, Messe Wien\, Halle D \n  \nDISKUTIERENDE: \n– Ingrid Brodnig\, Publizistin \n– Konrad Paul Liessmann\, Philosoph \n– Christian Rau\, Mastercard Österreich \n– Sarah Spiekermann\, Wirtschaftsinformatikerin \nMODERATORIN:  Lou Lorenz-Dittlbacher
URL:https://www.sustainablecomputing.eu/event/buch-wien-lange-nacht-der-bucher/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20191107T150000
DTEND;TZID=Europe/Paris:20191107T163000
DTSTAMP:20260429T184650
CREATED:20190909T125214Z
LAST-MODIFIED:20190909T125214Z
UID:1486-1573138800-1573144200@www.sustainablecomputing.eu
SUMMARY:Nataliia Bielova: Detecting third-party tracking and GDPR violations in Web applications
DESCRIPTION:Third-party Web tracking has been extensively studied over the last decade. In our work\, we focus on two problems that address third-party tracking in Web applications and GDPR impact on trackers.\n\n\n\n\n\nFirst\, we study detection of third-party tracking. Most of previous studies and user tools rely on filter lists. However\, there has always been a suspicion that lists miss many trackers. In this paper\, we propose an alternative method to detect trackers inspired by analyzing behavior of invisible pixels. By crawling 84\,658 webpages from 8\,744 domains\, we detect that third-party invisible pixels are widely deployed: they are present on more than 94.51% of domains and constitute 35.66% of all third-party images. We propose a fine-grained behavioral classification of tracking based on the analysis of invisible pixels. We use this classification to detect new categories of tracking and uncover new collaborations between domains on the dataset of 4\,2M third-party requests. We demonstrate that two popular methods to detect tracking\, based on EasyList&EasyPrivacy and on Disconnect lists respectively miss 25.22% and 30.34% of the trackers that we detect. Moreover\, we find that if we combine all three lists\, 379\,245 requests originated from 8\,744 domains still track users on 68.70% of websites.  \n\n\n\n\n\nSecond\, we analyse GDPR impact on third-party trackers. GDPR defines rights for data subjects (users) and obligations for data controllers (trackers) but it is unclear how subjects and controllers interact concretely. We investigate whether it is safe for a data subject to exercise the right of access of her own data by analysing how subject access request procedures are implemented in third-party tracking services. We observe that some trackers use unsafe or doubtful procedures to authenticate data subjects: the most common flaw is the use of authentication based on a copy of the subject’s national identity card transmitted over an insecure channel.  
URL:https://www.sustainablecomputing.eu/event/detecting-third-party-tracking-and-gdpr-violations-in-web-applications/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20191119T180000
DTEND;TZID=Europe/Paris:20191119T193000
DTSTAMP:20260429T184650
CREATED:20191120T150135Z
LAST-MODIFIED:20191120T150135Z
UID:1583-1574186400-1574191800@www.sustainablecomputing.eu
SUMMARY:Elena Simperl: Qrowd and the city: Designing people-centric smart cities
DESCRIPTION:Smart cities are as much about the needs\, expectations and values of the people they serve as they are about the underlying technology. In this talk\, I am going to present several areas of system design where human and social factors play a critical role\, from fostering participation to augmented intelligence and responsible innovation. I will present ongoing challenges\, solutions and opportunities\, drawing from recent studies in Qrowd\, a Horizon 2020 programme proposing a humane AI approach for transport and mobility.\n\n\nAbout the speaker:\nElena Simperl is a professor of computer science at the University of Southampton in the UK. She works in the department of Electronics and Computer Science (ECS)\nin the Web and Internet Science (WAIS) lab. She is also one of the Directors of the Web Science Institute and a Turing Fellow.\nMore details: http://elenasimperl.eu/
URL:https://www.sustainablecomputing.eu/event/elena-simperl-qrowd-and-the-city-designing-people-centric-smart-cities/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20191120T150000
DTEND;TZID=Europe/Paris:20191120T163000
DTSTAMP:20260429T184650
CREATED:20191001T114422Z
LAST-MODIFIED:20191001T114422Z
UID:1500-1574262000-1574267400@www.sustainablecomputing.eu
SUMMARY:Christoph Fabianek: Semantic Container for Data Mobility
DESCRIPTION:An enormous wealth of data is being created in our increasingly digitized life and economies\, but the majority of this data is either being monopolized or shared for questionable purposes rather than facilitating innovation. One of the main issues that inhibits data reuse and the emergence of vibrant data markets is the lack of standard mechanisms for the execution of controlled transactions between data providers and consumers\, including efficient provisioning of data and associated services. Consequently\, many potential data providers find it difficult to turn data into viable business models. At the same time\, data consumers face challenges accessing heterogeneous data provided via various mechanisms and have limited means to trace data provenance and ensure data quality. Semantic Containers aim to tackle both issues by facilitating controlled transactions through an integrated set of methods and capabilities. Specifically\, they package data\, semantic descriptions\, and processing capabilities into executable and shareable containers.
URL:https://www.sustainablecomputing.eu/event/christoph-fabianek-semantic-container-for-data-mobility/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20191122T093000
DTEND;TZID=Europe/Paris:20191122T173000
DTSTAMP:20260429T184650
CREATED:20191018T121844Z
LAST-MODIFIED:20191018T121844Z
UID:1517-1574415000-1574443800@www.sustainablecomputing.eu
SUMMARY:Leading the World? Artificial Intelligence in China
DESCRIPTION:This workshop is jointly organised by the the Institute of East Asian Studies at the University of Vienna\, the Privacy and Sustainable Computing Lab at Vienna University of Economics and Business and the Complexity Science Hub. \nAcademic Workshop from 09:30 to 17:00\nat the Hofburg\, 1010 Vienna\, Austria\nPreliminary Agenda \n  \n09:30 – 09:45: Introduction and Overview of Research Workshop\n– Dr. Ben Wagner\, WU Wien & Prof. Christian Göbel\, Uni Wien \n09:45 – 10:00: Discussion \n10:00 – 10:30 Keynote: Local and Global Perspectives on AI in China\n– Prof. Kave Salamatian\, Chinese Academy of Sciences and University of Savoie\, France \n10:30 – 11:00: Discussion \n11:00 – 11:30: Coffee break \n11:30 – 12:00: Research Potential of Chinese AI Companies\n– Amelie Drexler\, UniWien \n12:00 – 12:30: Discussion \n12:30 – 13:30: Lunch \n13:30 – 14:00: Investment in AI in China\n– Shuyin Zheng\, UniWien \n14:00 – 14:30: University Teaching on AI in China\nAmelie Drexler & Xiran Dong\, UniWien \n14:30 – 15:00: Discussion \n15:00 – 15:30: Narratives around AI in China\n– Xiran Dong\, UniWien \n15:30 – 16:00: Public Services and AI in Big Data\n– Prof. Christian Göbel\, Uni Wien \n16:00 – 16:30: Discussion \n16:30 – 16:45: Closing Remarks\n– Dr. Ben Wagner\, WU Wien & Prof. Christian Göbel\, Uni Wien \n16:45 – 17:00: Discussion \nPre-registration is required. If you wish to attend this workshop\, please contact Ben Wagner  <ben.wagner@wu.ac.at> and let us know why you want to participate.
URL:https://www.sustainablecomputing.eu/event/leading-the-world-artificial-intelligence-in-china/
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