Latour and co-authors proposed, in the Science and Technology Translation theory, to target the many SHS (Social and Human Science) questions addressed by social studies of sciences by considering, in complement to traditional academic matters, the complete social environment (political, economic or societal). Patents obviously are a potential primary information source to do so. We propose to extend this considering that recent changes have evolved in our capacity to do so. We propose three preliminary steps: (a) patent documents as providing a structured information source, (b) a patent database as a technical encyclopedia and (c) the recent expansion of the variety of uses and users in patent domains. We underline, furthermore, that minority research in the academic space does effectively use patent information, especially in SHS compared to other disciplines. We deliver an experiment to estimate the amount of data unconsidered by not questioning the huge database of the European Patent Office. By comparatively considering the terminology of the two branches of the Unesco thesaurus, namely the micro thesauri “Social and Human Sciences" and the “Information and Communication Science” branches, we evaluate a database response to the whole vocabulary. An in-depth analysis of one selected concept will complete the study. Results show that patent information may provide a quantity of documents for a wide range of academic research questions, from strategic to state of the art, and position advances aside from the Social Studies of Science. The free open source tool is also a way to practice digital humanities expected skills on real world corpora.

Objetivo: Apresentar a análise de conteúdo baseada em classificação hierárquica descendente e a análise fatorial de correspondência como técnicas complementares e sequenciais, com possível aplicação na área de gestão da inovaçãoMétodo: Análise de conteúdo baseada em técnicas de Computer-Aided Text Analisys (CATA) por meio do software IRAMUTEQ.Originalidade/Relevância: O paradigma de pesquisa, normalmente influencia as próprias bases de conhecimento e metodologias de domínio do pesquisador. A análise de textos manual pode eventualmente ser atribuída ao paradigma interpretativista e as técnicas CATA podem ser eventualmente atribuídas ao paradigma pós-positivista, no entanto, não parece haver razão para fazer essa distinção.Resultados: Apresentação de framework que demonstra as escolhas tecnológicas das empresas mais inovadoras do mundo (Google, Apple e Amazon), as escolhas comuns e as distintas, entre elas.Contribuições teóricas/metodológicas: Desenvolvimento de método de análise de escolhas tecnológicas das empresas mais inovadoras do mundo, aplicando a análise de conteúdo com base na classificação hierárquica descendente e a análise fatorial de correspondência de forma sequencial e complementar.Contribuições sociais / para a gestão: As tomadas de decisões para a gestão da inovação podem ser revistas de acordo com as escolhas tecnológicas apresentadas. A vantagem competitiva tem por natureza a distintividade. Demonstramos que não é um problema dominar as mesmas tecnologias, ou seja, empresas podem ter domínios tecnológicos similares e ainda assim terem abordagens mercadológicas diferentes.

En supposant que l’impact anthropique des nuisances sonores occasionnées par les visiteurs d’un parc naturel pouvait être réduit par des actions de communication, nous avons élaboré un protocole interdisciplinaire associant bioacoustique et mesure d’efficacité des actions de communication, un protocole de mise en évidence de l’impact anthropique associé à un protocole de mesure d’efficacité des actions de communication. Une communication d’éco-sensibilisation simple sera comparée à une communication de sensibilisation engageante. Nous traitons les questions suivantes : est-ce que la sensibilisation des visiteurs les conduit à modifier leurs attitudes et comportements en vue de limiter leurs propres nuisances sonores ? Est-ce que l’engagement améliore la sensibilisation ? Nous détaillons ici les principaux concepts convoqués et la méthodologie suivie afin de discuter des premiers résultats.

Automated classification and summarization of websites, as well as knowledge retrieval from web contents, are central challenges for performing accurate and focused webometrics studies. As global approaches based on open web and full webpages content fail to cope with such challenges, in this paper we first focus our approach on organizational and institutional websites, and secondly, we consider the communicational value of the data provided, especially on navigation menus, as a central information source. Another key point of our approach is that we more especially focus on the exploitation of a recent unsupervised classification technique, that not only automatically groups together websites sharing a number of features but also explicitly associates each website class with a set of specific features, or labels, characteristic of that class. As compared to a supervised classification, our approach presents the main advantage to cope with the scaling problem whilst, as we show in our experiment, providing superior performance through efficient characterization of latent unlabeled websites classes.