november, 2019

28nov6:30 pm9:30 pmFeaturedData Science & CivicTech in Belgium - S06E01 Event Organized By: AI4Belgium & Data Science Community Event Type :Meetup

Event Details

CivicTech is as broad a term as it is important in all its facets. For this edition of the DSBxl meetups, we have a broad take on the matter with experts from different horizons. We are so excited by all the potential discussions we will have!

Also, to make amends for our delay, we managed to offer free drinks and snacks this time! (courtesy of Bain & co – thanks!)

Program
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Luc Rocher (Imperial College of London) – Anonymous, always? Estimating the success of re-identifications in incomplete datasets

Rich medical, behavioural, urban, and socio-demographic data are key to modern data-driven research, in particular in CivicTech, but their collection increasingly raises legitimate privacy concerns. GDPR sets forth new standards of anonymisation, but our research seriously challenge the technical and legal adequacy of the de-identification release-and-forget model – even heavily sampled anonymized datasets are unlikely to cut it. We will discuss the implications of these findings for CivicTech.

Alexandre Bovet (UCL & UNamur) – Influence of fake news in Twitter during the 2016 US presidential election

The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains to be clarified. Analysing a dataset of 171 million tweets and their linked data, we characterize the networks of information flow and use causal modelling to uncover how fake news influenced the presidential election. We find that, while top influencers spreading traditional center and left leaning news largely influence the activity of Clinton supporters, this causality is reversed for the fake news: the activity of Trump supporters influences the dynamics of the top fake news spreaders.

Robin Devooght (Agora Brussels) – How Agora set up the Brussels Citizens’ Assembly by random draw.

Agora is a grassroots citizen movement on a mission to organize an assembly of randomly drawn citizen whose voice will be represented in the Brussels Parliament. As an explicit goal, this assembly should strive to be as representative as possible of the diverse Brussels population. This talk will focus on the technical challenges that arise when setting up such an assembly, and how these were overcome by a team of volunteers through the use of open data and ad hoc algorithms to optimize representativeness from the point of view of three criteria: age range, gender and highest degree obtained.

Time

(Thursday) 6:30 pm - 9:30 pm

Location

DigitYser

Boulevard d'Anvers 40

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