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On 9th of June we are organising a Coffee & Data event with the Amsterdam Data Science community. The topic is “How to deal with controversy, bias, quality and opinions on the Web” and will be organised in the context of the COMMIT ControCurator project. In this project 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 and Netherlands Institute for Sound and Vision.

The Agenda is as follows:

09:00-09:10 Coffee

Introduction & Chair by Lora Aroyo, Full Professor at the Web & Media group (VU, Computer Science)

09:10 – 09:25: Gerben van Eerten – Crowdynews deploying ControCurator

09:25 – 09:40: Kaspar Beelen – Detecting Controversies in Online News Media (UvA, Faculty of Humanities)

09:40 – 09:50: Benjamin Timmermans – Understanding Controversy Using Collective Intelligence (VU, Computer Science)

09:50 – 10:00: Davide Ceolin – (VU, Computer Science)

10:00 – 10:15: Damian Trilling – (UvA, Faculty of Social and Behavioural Sciences)

10:15 – 10:30: Daan Oodijk (Blendle)

10:30 – 10:45: Andy Tanenbaum – “Unskewed polls” in 2012

10:45 – 11:00: Q&A Coffee

The event takes place at the Kerkzaal (HG-16A00) on the top floor of the VU Amsterdam main building.

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As I am study advisor for the international students, I am also responsible for immigrants that study Computer Science bachelor at the Vrije Universiteit. In order to provide these future students with a clear picture of what they can expect, I gave a presentation about Computer Science, our program at the University, and things they should take into account as (international) students.

The presentation is available below, which is based on slides of Wan Fokkink. If you are an immigrant and would like to study Computer Science at the VU, you should get in touch with VASVU for a preparation year or visit the Computer Science website.

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Last week I gave another talk in our Weekly AI meeting on the topic of ControCurator. This is a project that I am currently working on, which has the goal to enable the discovery and understanding of controversial issues and events by combining human-machine active learning workflows.

In this talk I went into the different aspects of controversies, which we have identified in this project. You can view the slides here:

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Today I gave a talk in our Weekly AI meeting on the topic of ControCurator. This is a project that I am currently working on, which has the goal to enable the discovery and understanding of controversial issues and events by combining human-machine active learning workflows.

In the talk I explained the issue of defining the space of a controversy, and how this relates to for instance wicked problems. You can see the slides below.

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I presented my doctoral consortium paper titled “Exploiting disagreement through open ended tasks for capturing interpretation spaces” at the PhD Symposium of ESWC 2016.

An important aspect of the semantic web is that systems have an understanding of the content and context of text, images, sounds and videos. Although research in these fields has progressed over the last years, there is still a semantic gap between data available of multimedia and metadata annotated by humans describing the content. This research investigates how the complete interpretation space of humans about the content and context of this data can be captured. The methodology consists of using open-ended crowdsourcing tasks that optimize the capturing of multiple interpretations combined with disagreement based metrics for evaluation of the results. These descriptions can be used meaningfully to improve information retrieval and recommendation of multimedia, to train and evaluate machine learning components and the training and assessment of experts.


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Today Lora Aroyo presented the first lecture of the Watson Innovation course at the Vrije Universiteit. The topic of the lecture was Cognitive Computing, IBM Watson and looking inside the mind of Watson. There was a high attendance of motivated bachelor and master students with various backgrounds, such as artificial intelligence, computer science, business administration, business analytics and information sciences. We are looking forward to see them develop their ideas with Watson.

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On Thursday 9th of October was the Netherlands eScience symposium in the Amsterdam Arena. This yearly event attracts scientists and researchers from many different disciplines. In the digital humanities track, Oana Inel of the CrowdTruth team gave a talk on the Dive+ project. This is a digital cultural heritage project in which innovative access to online collections is provided, with the purpose of supporting digital humanities scholars and online exploration for the general public. This project is supported by the Netherlands eScience center, and uses CrowdTruth for the crowdsourcing of events in historical data. The talk titled “Towards New Cultural Commons with DIVE+” can be seen below.

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On Friday 11th of September I pitched the medical relation extraction work of my CrowdTruth colleague Anca Dumitrache at the third Amsterdam Data Science: Coffee and Data event. The purpose of this was to get in touch with researchers that have medical datasets that are for instance incomplete or contain errors. With our research, we want to investigate how we can improve the quality of this data. Several other interesting presentations on data science in the medical domain were given at this event, which was hosted on the top floor of the VU University Amsterdam. Together with Merel van Empel, we also presented our latest work on gamification of crowdsourcing for advancing biology using BioCrowd. Feel fee to try out the game and provide us with feedback.

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On Monday 31st of August I presented the preliminary results of my work on sound representations during the weekly Artificial Intelligence meeting at the VU University Amsterdam. In this collaboration with Emiel van Miltenburg, a sound corpus is built with annotations on how people perceive these sounds. Sounds can often be interpreted in multiple ways, but tags in sound corpora do not directly relate to the acoustic features of sounds. Because of this limited representation of what can be heard in a sound, the ranking of search results is not optimal. In this research, we use crowdsourcing to build an annotated corpus of sounds from with meaningful representations that are perceptually grounded. The presented slides can be seen below or on slideshare.