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Policy Cloud Data Driven Policies against Radicalisation Webinar

Policy Cloud will realise the European cloud for data-driven policy management, providing integrated reusable models and analytical tools which turn raw data into valuable and actionable knowledge.

Digital Economy
Society
2 July 2020 - 2 July 2020
Brussels, Belgium

The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, the Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.

About the Webinar
Policy Cloud will realise the European cloud for data-driven policy management, providing integrated reusable models and analytical tools which turn raw data into valuable and actionable knowledge.

The purpose of the webinar is to demonstrate ongoing work within one of four Policy Cloud pilot use cases, Policies against Radicalisation. Specifically, the presenters will discuss how analytics can be used to:

-segment radicalisation efforts demographically
-visualise radicalisation trends
-assign risk profiles to individual suspects, while respecting the privacy requirements established within the Policy Cloud Ethics Framework.

Who should attend?
Policy makers, public administrators, cloud providers, data owners, data engineers, data scientists and social scientists.

More information on the webinar and series of BigDataPilotDemoDays at the BDV-PPP Virtual Summit 2020 here: https://policycloud.eu/news-events/events/policy-cloud-data-driven-policies-against-radicalisation

Register here: https://us02web.zoom.us/webinar/register/WN_fChEowjMRnWlEW9ACe8QEw

Keywords

Cloud, Big Data, Data-Driven Policy Making