Name: ADS Coffee & Data: Controversy in Web Data
Start: 2017-06-09T09:00:00+02:00
End: 2017-06-09T11:00:00+02:00
Location: HG-16A00 Kerkzaal, 16th floor main building VU

Location: VU Amsterdam, HG-16A00 Kerkzaal, 16th floor hoofdgebouw/main building VU. You can reach the Kerkzaal via the stairs at the 15th floor.

ADS Coffee & Data offers the opportunity for researchers and business to share their knowledge and give insight on a central theme, specifically on Friday 09 June this will be on Controversy in Web Data. There is also a chance to network with a cup of coffee.

This edition of the ADS meetup will focus on the topic of “How to deal with controversy, bias, quality and opinions on the Web” and will be organised in the context of the COMMIT/ (http://www.commit-nl.nl/) ControCurator project (http://controcurator.org), in which VU and UvA computer scientists and humanities researchers investigate jointly the computational modeling of controversial issues on the Web, and explore its application within real use cases in existing organisational pipelines, e.g. Crowdynews (https://www.crowdynews.com/) and Netherlands Institute for Sound and Vision (http://www.beeldengeluid.nl/).

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09:00-09:10 Coffee

Introduction & Chair by Lora Aroyo (http://lora-aroyo.org), Full Professor at the Web & Media group (VU, Computer Science)

09:10-09:20: Benjamin Timmermans (http://crowdtruth.org/author/benjamin/) (VU, Computer Science) - "Understanding Controversy Using Collective Intelligence"

09:20-9:30: Kaspar Beelen (http://acil.uva.nl/profile/b/e/k.beelen/k.beelen.html) (UvA, Faculty of Humanities) - "Detecting Controversies in Online News Media"

09:30-09:45: Gerben van Eerten (https://www.crowdynews.com) - Crowdynews deploying ControCurator

09:45-10:00: Davide Ceolin (http://www.few.vu.nl/~dceolin/) (VU, Computer Science) - "Identifying High-quality Opinions on the Web"

10:00-10:15: Damian Trilling (http://www.uva.nl/en/profile/t/r/d.c.trilling/d.c.trilling.html) (UvA, Faculty of Social and Behavioural Sciences)

10:15-10:30: Daan Odijk (http://daan.odijk.me) (Blendle (https://blendle.com/)) - "Making & Breaking Filter Bubbles"

10:30-10:45: Andy Tanenbaum (https://en.wikipedia.org/wiki/Andrew_S._Tanenbaum)- "Skewing the data"

10:45-11:00: Q&A Coffee

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Registration is free but please do so in advance through Meet-up. The event will be in English and is open to all.

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Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.

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Find out more about ADS at http://amsterdamdatascience.nl

Eva Kenny

Amsterdam AI (AAI) Meetup

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ADS Coffee & Data: Controversy in Web Data

HG-16A00 Kerkzaal, 16th floor main building VU

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Amsterdam AI (AAI) Meetup

ADS Coffee & Data: Controversy in Web Data

Amsterdam AI (AAI) Meetup

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