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Comme en témoignent la grande majorité des contributions à cet ouvrage, la question des liens entre la gouvernance des systèmes scolaires et «la recherche» est le plus souvent abordée sous un angle «économique» (questions d'efficacité) ou «sociologique» (questions d'équité). La gestion des moyens d'enseignement (désormais ME) ne semble guère, en revanche, être envisagée dans cette perspective globale de gouvernance du système, mais plutôt comme une question d'ingénierie didactique, voire comme une simple question de logistique. Dans ce chapitre, après une présentation de la problématique, nous développerons deux exemples concrets de collaborations de chercheur·e·s à l'une ou l'autre des diverses phases du processus global de gestion des ME (conception – élaboration – expérimentation – diffusion – formation – évaluation). Ces deux exemples, concernant le paysage éducatif en Suisse romande, nous permettront de mieux comprendre le rôle que jouent/ devraient jouer les didacticien·ne·s et/ou les chercheur·e·s dans ce processus relevant clairement selon nous de la gouvernance du système. Précisons que les observations sur lesquelles se base le présent chapitre datent de 2016 et ne reflètent plus tout à fait la situation actuelle.

The current industrial revolution is said to be driven by the digitization that exploits connected information across all aspects of manufacturing. Standards have been recognized as an important enabler. Ontology-based information standard may provide benefits not offered by current information standards. Although there have been ontologies developed in the industrial manufacturing domain, they have been fragmented and inconsistent, and little has received a standard status. With successes in developing coherent ontologies in the biological, biomedical, and financial domains, an effort called Industrial Ontologies Foundry (IOF) has been formed to pursue the same goal for the industrial manufacturing domain. However, developing a coherent ontology covering the entire industrial manufacturing domain has been known to be a mountainous challenge because of the multidisciplinary nature of manufacturing. To manage the scope and expectations, the IOF community kicked-off its effort with a proof-of-concept (POC) project. This paper describes the developments within the project. It also provides a brief update on the IOF organizational set up.

Decision science literature argues that conventional opinion surveys are limited for making strategic decisions because the elicited opinions may be distorted by misconceptions and awareness gaps that prevail in the public. Such distortions are in particular expected for new technologies, such as Enhanced Geothermal Systems (EGS). We created an informed citizen panel (N=46) for understanding the preferred Swiss electricity mix in 2035, given the information about environmental, health, economic and accident impacts of various electricity generation technologies. We used technology factsheets, an interactive web-tool Riskmeter, and group discussions for informing the participating citizens. We then measured the evolution of the panel's knowledge and preferences from initial (uninformed) to informed and longer-term views four weeks after. For EGS, we found that the participants were in particular sensitive to new information as they did not yet have stable opinions formed and, in fact, with more information the opinions worsened. Induced seismicity risk was one of the elements that was used by our participants in their opinion formation, but also land use, climate, and electricity supply reliability impacts as well as the overall comparison with other technologies. We also found structurally different pattern in the evolution of opinion for EGS and other renewable electricity generation alternatives. We thus conclude with implications of these findings for understanding the public preferences for EGS and for communicating about it