Objective
                                JUSTINT will provide a novel way of analysing how post-conflict justice practices, such as war crimes trials and truth-seeking, advance or hinder peacebuilding. It breaks away radically from existing approaches and examines an interactive and dynamic aspect of discourse. Until now, we have relied on statements by politicians, civil society actors, or victims to understand their response to post-conflict justice, and studied them as static discourses. Instead, we need to investigate communicative exchanges to understand how discussions about the violent past unfold, and to what effect.
JUSTINT asks: how do people interact with each other in response to post-conflict justice across national, ethnic, gender and age groups in different deliberative domains? Do their views change in these interactions, and how? Written and spoken communication can provide strong evidence of attitudes and of their transformation. JUSTINT will apply Quantitative Text Analysis and Conversation Analysis to interactions in face-to-face and virtual deliberative domains (courts, parliaments, civil society debates, blogs, Web-based comments, and Twitter).
This mixed-method research will deliver fine-grained multi-language empirical analysis of patterns of discourse in four former Yugoslav countries (Serbia, Bosnia and Herzegovina, Kosovo and Croatia), selected as a typical case of post-conflict justice practices. It will be carried out by an interdisciplinary team (three political scientists with expertise in peacebuilding, post-conflict justice and political behaviour, a gender specialist, a computational linguist and a quantitative text analyst).
JUSTINT will generate a theory of justice interactions, and open up significant new research horizons at the intersection of peacebuilding and deliberation. It will break new ground by studying justice discourses at the level of words and conversational sequences through interdisciplinary integration and methodological innovation.
                            
                                Keywords
                                
                                    
                                    
                                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
                                        
                                    
                                
                            
                            
                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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                Multi-annual funding programmes that define the EU’s priorities for research and innovation.
                
              
            
          
                      Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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                  H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
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                  Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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                      Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-COG - Consolidator Grant
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(opens in new window) ERC-2017-COG
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WC2A 2AE London
United Kingdom
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