Abstract
ARESIBO is an H2020 project aiming to improve the efficiency of border surveillance systems by providing the operational teams, as well as the tactical command and control level with accurate and comprehensive information related to border control by different perspectives. Human Rights Groups' (HRGs) and Civil Society Organisations' (CSOs) involvement and participation in decision making related Surveillance-Oriented Security Technologies (SOSTs) for border surveillance is considered as a key-factor to ensure the coexistence of two only apparently opposite needs: security and respect of fundamental rights (i.e., privacy, refugees etc.). Starting from this general approach, the paper represents the second part of a research diptych dedicated to present the main achievements and methods proposed by ARESIBO to enhance participation in border surveillance. It outlines the ARESIBO Participatory Model (APM) as a tool to improve HRGs, CSOs, and ultimately citizens' involvement related to border surveillance in general and the adoption of specific SOSTs for borders' control. The first part of the paper introduces some key elements included in the ARESIBO desk research that led to the elaboration of the APM (i.e., literature review, semantic analysis), describing who were the targets of that approach (i.e., stakeholders, end-users, actors). After a contextualization on the three interlaced dimensions of surveillance, security and privacy related borders' control, the paper presents the three components of the methodological framework within which this citizens' involvement process has been developed (i.e., ARESIBO Participation Framework, ARESIBO Participation Strategy, ARESIBO Participation Action Plan). In the conclusions, by outlining the first partial application of the model within the ARESIBO framework, the paper argues that APM can represent a pilot for a more structured and duplicable participatory model, also through additional research regarding participatory models applied to SOSTs development processes.