Last Tuesday, January 26, participants of the AAA-DS projects gathered for our 2nd project meeting at the Science Park of the UvA. The meeting was coordinated by one of our QuPiD2 team members, Davide Ceolin (Project 2: Representation of Data Quality), and was organized around the theme “Data structures, models and languages”.
Davide opened the meeting with a presentation about the different data structures, models and languages used across research fields in all AAA-DS projects.
This was followed by three presentations of invited speakers Peter Boncz (CWI) on Databases, Guus Schreiber (VU) on Webgraphs, and Rinke Hoekstra (VU) on the Relationship between Databases and Webgraphs.
We are happy to share that our paper (Project 3: From Text to Deep Data) on the linguistic annotation of perspectives has been accepted for a poster presentation at the 10th International Conference on Language Resources and Evaluation (LREC 2016)! The conference will take place May 23-28 (2016) in Portorož, Slovenia.
On 8 December 2015, the Amsterdam Academic Alliance (AAA) held its launch event on Responsible Data Science at the VU University Amsterdam with over 90 attendees.
The event, chaired by Maurits Martijn from De Correspondent, comprised two keynotes presenting their perspective on responsible data science from both technical (Gusz Eiben) and moral (Jeroen van den Hoven) viewpoints, and a discussion session with panelists including Bart Voorn (Ahold group) and Berent Daan (Gemeente Amsterdam).
After the keynotes and the discussion session, we presented the current status of our work. You can find our posters through the links below:
Representation of Data Perspectives
Representation of Data Quality
From Text to Deep Data
Here you can read the Event Report and check out the other posters of the AAA-DS program as well.
QuPiD2 stands for Quality and Perspectives in Deep Data. It entails three interdisciplinary projects, embedded in the Humanities and Computer Science research groups of VU University Amsterdam and University of Amsterdam, and aiming at good synergy with other Amsterdam Data Science use cases. Use the menu above to find out more about the QuPiD2 program or one of its three projects:
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