EVENTS

Responsible Data Science: Dragnet Debate Session

Details

November 16, 2017 - 16:00
Panel Discussion Session

Venue

52.3337568
4.865719899999931

Responsible Data Science: Dragnet Debate Session

Date: Thursday 16 November 2017

Time: 16:00-17:45

Location: VU Amsterdam W&N Building – Faculty of Sciences – (1st Floor): Room Q112 followed by drinks & snacks in the Intertain Lab, S111, W&N Building

Background: In July 2017, the Dutch senate passed a bill for a new Intelligence and Security Services Act, set to take effect from 01 January 2018. Targetted surveillance was already permitted, however this new Act will go further in also allowing untargetted surveillance, for example the monitoring of relatives of suspects. The Act also grants new surveillance powers such as data retention for three years and permission to share intelligence with foreign counterparts.

On Thursday 16 November the Responsible Data Science (RDS) team will host a panel discussion session where we will give opponents and proponents of the Act the opportunity to share their views, with the chance for active audience contribution also.

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The full programme, moderator and panel members will be announced shortly, in brief:

16:00

Welcome and introduction

Panel introduction & position statements

Discussion and audience questions

Summing-up

17:00-17:45

Drinks, snacks and further discussion

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RDS is a joint collaboration of expert researchers from 11 knowledge institutions across the Netherlands: http://www.responsibledatascience.org

The RDS initiative is driven by the omnipresence of data making society increasingly dependent on data science. Despite its great potential, there are also many concerns on irresponsible data use. Unfair or biased conclusions, disclosure of private information, and non-transparent data use, may inhibit future data science applications.

The RDS programme aims at generating scientific breakthroughs by making data science responsible by design. In RDS researchers from multiple disciplines connect to develop techniques, tools, and approaches to ensure fairness, accuracy, confidentiality, and transparency.

Big data is changing the way we do business, socialize, conduct research, and govern society. Data are collected on anything, at any time, and in any place. Organizations are investing heavily in Big data technologies and data science has emerged as a new scientific discipline providing techniques, methods, and tools to gain value and insights from new and existing data sets. Data abundance combined with powerful data science techniques has the potential to dramatically improve our lives by enabling new services and products, while improving their efficiency and quality. Many of today’s scientific discoveries (e.g., in health) are fuelled by developments in statistics, data mining, machine learning, databases, and visualization.

For more information see the Responsible Data Science website HERE

Please note all our Meet-up events are open to all to attend, just register on our Meet-up page and RSVP to the specific event you would like to attend. 

The event will be in English. 

Have you discussion points or questions that you would like raised with the Panel on 16 November? You can send these in advance and we will try to ensure that they are discussed in this session (there of course will also be the opportunity to raise points at the time). You can send your questions to: e.r.kenny@uva.nl