Tracking narrative change in the context of extremism and terrorism: adapting the Innovative Moments Coding System

Existing models of deradicalisation, countering violent extremism (CVE), and counter-terrorism (CT) have lacked a clear theory of change, as well as robust empirical methodologies. This paper proposes an empirically-based systematic and transparent methodology - the Innovative Moments Coding System (IMCS) - which is empirically sensitive, ethically defensible, and can be of use in the context of research to inform practitioner contexts. Through a case study of former violent militants, we explore the adaptation and usage of this instrument to identify and track self-narrative change in the processes of engagement and disengagement, as well as radicalisation and deradicalisation in the context of violent extremism and terrorism. We illustrate how this methodology has the potential to bring benefits to the work of researchers involved in producing guidelines for disengagement, deradicalisation or risk-reduction interventions.
This work was supported by the British Academy Research Fellowship [GRANT NUMBER pf170092], by the Portuguese Foundation for Science and Technology through the post-doctoral grant SFRH/BPD/108674/2015, and by Portuguese national funds (OE), through FCT - Fundação para a Ciência e a Tecnologia, I.P., in the scope of the framework contract foreseen in the numbers 4, 5 and 6 of the article 23, of the Decree-Law 57/2016, of August 29, changed by Law 57/2017, of July 19.