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trivalent project full details

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Champion: Harith Alani
Professor of Web Science Email Icon Website Icon RDF Icon
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Participant(s):Miriam Fernandez

Timeline:01 May 2017 - 30 Apr 2020

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TRIVALENT

EU H2020 project to develop advanced method for detecting and measuring violent radicalisation behaviour on social media.

TRIVALENT is a H2020 funded project which aims to a better understanding of root causes of the phenomenon of violent radicalisation in Europe in order to develop appropriate countermeasures, ranging from early detection methodologies to techniques of counter-narrative.

Partners
  • UNIROMA3
  • Madrid Municipal Police
  • UPM
  • Viseo Technologies
  • Università Cattolica di Milano
  • Zanasi & Partners
  • Royal Military Academy in Belgium
  • Local Police Voorkempen (Belgium)
  • Ministero della Giustizia – Polizia Penitenziaria
  • Regional Police Headquarters in Radom (Poland)
  • Tecoms
  • IDC Herzliya Center
  • Bureau of Prevention of the National Police in Poland
  • Ministry of the Interior – Department of Public Security (Italy)
  • The State Police of Latvia
  • Portuguese Prison and Probation Service
  • Local Police of Turin
  • Expert System Iberia
  • Provincial Police Headquarters in Gdansk (Poland)
  • Albanian State Police

News

11 Jul 2019

Tracie Farrell


Publications

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Fernandez, M. and Alani, H. (2018) Contextual Semantics for Radicalisation Detection on Twitter, Workshop: Semantic Web for Social Good Workshop (SW4SG) at International Semantic Web Conference 2018, CEUR

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Fernandez, M., Asif, M. and Alani, H. (2018) Understanding the Roots of Radicalisation on Twitter, In WebSci '18: 10th ACM Conference on Web Science, Amsterdam, Netherlands, ACM (Association for Computing Machinery)

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Saif, H., Dickinson, T., Kastler, L., Fernandez, M. and Alani, H. (2017) A Semantic Graph-Based Approach for Radicalisation Detection on Social Media, Proc. Int. Extended Semantic Web Conference (ESWC), Portorož, Slovenia, 10249, pp. 571-587, Springer

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Jobs

Marie Curie Early Stage Researcher

Knowledge Media Institute (KMi)
£45,463 per year plus allowances
Based in Milton Keynes
Full-time, Fixed-term contract for 36 months

The Knowledge Media Institute invites applications for an Early Stage Researcher to work in the area of bias in Artificial Intelligence. The researcher will work within the interdisciplinary...

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