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VERSION:2.0
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BEGIN:VEVENT
DTSTAMP:20260422T234750Z
DTSTART;TZID=Europe/Amsterdam:20210330T050000
DTEND;TZID=Europe/Amsterdam:20210330T130000
SUMMARY:Data\, Society\, and Open Science III: challenges for data management and data-based research
UID:20260428T030025Z-iCalPlugin-Grails@philevents-web-6b96c54f56-bljdq
TZID:Europe/Amsterdam
LOCATION:Online\, Delft\, Netherlands
DESCRIPTION:<p>Below is the program for the third workshop in the &lsquo\;Data\, Society\, and Open Science&rsquo\; series\, as part of the&nbsp\;<em>Making Dark Data Project</em>\, here at TU Delft. The workshop will be held entirely online\, on the 30th&nbsp\;March 2021.</p>\n<p>The focus of the workshop will be primarily on ethical and practical challenges raised by the use of data in scientific research. The format of the workshop is six 20-minute talks\, with&nbsp\;each being followed by a 10 minute Q&amp\;A session.</p>\n<p>Further details are available at&nbsp\;<a href="https://www.makingdarkdatafair.com/event-details/data-society-and-open-science-iii-challenges-for-data-management-and-data-based-research">https://www.makingdarkdatafair.com/event-details/data-society-and-open-science-iii-challenges-for-data-management-and-data-based-research</a>.&nbsp\;Those interested in participating can register there. Registration is free but required. The conference will be held on Zoom. The link will be shared before the workshop with those who are&nbsp\;registered.</p>\n<p>All are encouraged to attend.&nbsp\;We look forward to seeing you.</p>\n<p><strong>Program: Data\, Society\, and Open Science III: challenges for data management and data based research &ndash\; 30th March 2021</strong></p>\n<p><strong><em>11:30-11:45 - Introduction</em></strong></p>\n<p><strong><em>11:45-12:15</em></strong>&nbsp\;-&nbsp\;Saeedeh Babaii - Institute for Humanities and Cultural Studies</p>\n<p>Tehran\, Iran - GAN\; A Promising Approach to Mitigate the Problem of Bias in AI</p>\n<p><strong><em>Break 2 &ndash\; 12:15-12:30</em></strong></p>\n<p><strong><em>12:30-13:00</em></strong>&nbsp\;-&nbsp\;Martin Thomas Horsch and Bj&ouml\;rn Schembera &ndash\; HLRS Stuttgart - Automated metadata extraction and epistemic FAIRness in the engineering sciences</p>\n<p><strong><em>13:00-14:30</em></strong><strong>&nbsp\;<em>Lunch</em></strong></p>\n<p><strong><em>14:30-15:00</em></strong>&nbsp\;Juniper Lovato &ndash\; The Vermont Complex Systems Center - Ethical Considerations of Dark Data: Making FAIR Data Fair</p>\n<p><strong><em>Break 3 &ndash\; 15:00-15:15</em></strong></p>\n<p><strong><em>15:15-15:45</em></strong>&nbsp\;-&nbsp\;Fionn McGrath &ndash\; Trinity College Dublin - An Adornoian critique of machine learning</p>\n<p><strong><em>Break 4 &ndash\; 15:45-16:00</em></strong></p>\n<p><strong><em>16:00-16:30</em></strong>&nbsp\;-&nbsp\;Giovanni Galli &ndash\; University of Urbino - Understanding the data-centric sciences\, from dark data to Covid-19 tracking</p>
ORGANIZER;CN=Jack Casey;CN="Juan Manuel Durán":
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