Industrial chairs: a proven collaboration concept and promising perspective for industry and academia to commonly advance science and improve the management of life cycles
Notice bibliographique
Résumé
In order for both to succeed, sustainability research and management require a collaborative approach. Academic research and development of methods to assess sustainability strive to provide decision tools that are scientifically solid and sufficiently consider complexity, but which may not always be well adapted to the reality of a decision process. The need to collaborate and increase mutual understanding of the underlying science and the difficulties and questions faced when implementing changes into existing supply chains is widely recognised in the community. The concept of industrial chairs is well established in North America where the LCA chair of CIRAIG in Montreal is a prominent example in the field of LCA and LCM. In Europe this kind of collaborative approach with shared public and private funding is still rare and can essentially only be found in industrial PhD projects focusing on one doctoral student. Yet it is quite a logical approach offering the opportunity for direct exchange, mutual learning and for research to provide a direct support in advancing sustainability management practice to the benefit of the industrial partners and society in a larger sense. An industrial chair offers the possibility to cover a much broader range of interconnected research questions and case studies to test new developments and more directly react to questions coming from managers. The Industrial Chair for Environmental and Social Sustainability Assessment 'ELSA-PACT' - the first European industrial chair on LCA was launched in early 2014 in Montpellier, is hosted by the national research institute Irstea and co-founded by five industrial partners, four academic and research institutions and four public funding agencies. This presentation will explore the mutual benefits of such an approach, especially the motivations and expected benefits for the partner companies and from an industrial perspective, why to engage in such a project. Starting from the sustainability management challenges encountered by the industrial partners the way to the definition of research questions up to new developments will be outlined and discussed. Examples for mutual learning experiences as well as potential needs for adaptation and deviation from known paths on either side will be presented. Industrial chairs have proven to be a successful collaboration and funding concept in North America and certainly are a promising approach in the European context.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».