MSc Web Science, University of Southampton (2014)
BA Media and Culture, specialisation: New Media and Digital Culture, University of Amsterdam (2013)
Cybersec - European Cybersecurity Forum, Krakow, Poland, 2017
Web Science Summer School (Best presentation), St. Petersburg, Russia, 2017
International Cyber Security Summer School (Best team award), The Hague, The Netherlands, 2016
Rethinking Cybercrime, Preston, UK, 2016 (Poster presentation)
Web Science 2016, Hannover, Germany, 2016 (Paper presentation)
National Cyber Security Centre One Conference, The Hague, The Netherlands, 2016
Networking trip/exchange Web Science Institute at University of Southampton and Network Institute at VU University, Amsterdam, The Netherlands, 2016
The Third Cybercrime Symposium, Southampton, UK, 2016
Networking trip, San Francisco Bay Area, USA, 2015
The Second Cybercrime Symposium, Southampton, UK, 2015
The International Cyber Security Strategy Congress, Leuven, Belgium, 2015
Web Science & Data Analytics Summer School, Singapore, 2014
Hooper, Clare, Middleton, Stuart, van Hardeveld, Gert and Surridge, Michael (2015) The Digital Police Officer using linguistic analysis to identify cybercriminals At Web Science Institute One Year On: Privacy and Trust in the Era of Big Data Analytics. Web Science Institute Workshop 2015, United Kingdom. 08 Jun 2015.
van Hardeveld, Gert, Webber, Craig, Hooper, Clare and Middleton, Stuart (2015) The Digital Police Officer: using natural language processing to identify cybercriminals At Eurocrim 2015, Portugal. 02 - 05 Sep 2015.
Van Hardeveld, Gert, Webber, Craig and O'Hara, Kieron (2016) Discovering credit card fraud methods in online tutorials At OnSt ’16: Proceedings of the 1st International Workshop on Online Safety, Trust and Fraud Prevention, Germany. 22 - 25 May 2016. 5 pp.
Van Hardeveld, Gert, Jan, Webber, Craig and O'Hara, Kieron (2017) Deviating from the cybercriminal script: exploring tools of anonymity (mis)used by carders on cryptomarkets American Behavioral Scientist (doi:10.1177/0002764217734271).