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-                <a href="/" title="Accueil">Louis Brulé<br>Naudet</a>
+                <a href="https://louisbrulenaudet.com" title="Accueil">Louis Brulé<br>Naudet</a>
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                   <p>Despite the unprecedented availability of legislative texts and doctrine thanks to the internet, 88% of the French population acknowledged in 2014 that justice was too complex. In response, the last decade has seen the emergence of new considerations for producing legal content, placing the subject at the center of reflection. The seemingly esoteric idea of visual law has found application in private organizations (clear structuring of user manuals, illustrating risks associated with abnormal use of dangerous products...), leading to intuitively irresistible insights: if law were not just letters, what would its comprehension be like? Contrary to trends towards simplified legal language, this research aims to study the influence of visual modeling (functional diagrams, concept classification in tables, highlighting logical elements within statements...) on cognitive mechanisms of legal comprehension, to empirically test hypotheses favorable to deploying legal design in practice.<br><br>
                   As comprehensive research, a pertinent methodology would involve examining a controlled environment, assessing a cohort's performance in solving practical cases, supplemented by electroencephalographic analysis to measure the role of inputs in legal reasoning quality and the nature of cognitive interactions in understanding logical and non-logical legal elements. Within a multi-paradigm approach enriched by a corpus study aligned with the theoretical context of a relationship between neuroscience and law, an ambitious experimental contribution could entail recommendations for designing algorithmic devices bio-inspired by the human brain. The research stakes are multiple: alerting the legal community (professors, legal professionals...) to the relevance of such models, and enabling the development of new natural language processing applications by economic actors, particularly using convolutional neural networks for image processing in inference processes. This research integrates into a resolutely prescriptive dimension, with a primary contribution in predictive justice projects and automated legal and tax information processing, aiming to reduce the likelihood of syntactic ambiguities, natural language products, leading to potentially erroneous conclusions.<br><br>
                   <strong>Consult on ResearchGate:</strong> <a href="https://www.researchgate.net/publication/372909727_Cognition_et_droit_de_l%27etude_des_representations_au_prisme_du_besoin_de_comprehensibilite" target="_blank" rel="noopener">Cognition and Law: Studying Representations through the Lens of the Need for Comprehensibility</a><br>
-                  <strong>Download the PDF file:</strong> <a href="https://louisbrulenaudet.com/ressources/Cognition-et-droit-de-l-etude-des-representations-au-prisme-du-besoin-de-comprehensibilite.pdf" rel="noopener" download="Louis Brulé Naudet - Cognition and Law: Studying Representations through the Lens of the Need for Comprehensibility</a>
+                  <strong>Download the PDF file:</strong> <a href="https://louisbrulenaudet.com/ressources/Cognition-et-droit-de-l-etude-des-representations-au-prisme-du-besoin-de-comprehensibilite.pdf" rel="noopener" download="Louis Brulé Naudet - Cognition and Law: Studying Representations through the Lens of the Need for Comprehensibility">Cognition and Law: Studying Representations through the Lens of the Need for Comprehensibility</a>
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