Notice bibliographique
Résumé
Over the past twenty years, the smart city vision has gained popularity to the extent that it is now the dominant vision of the future city. Like any vision, however, the smart city holds a particular view on what the good life in the city entails and thereby raises various dilemmas and concerns. In particular, the smart city vision puts important public values at stake by portraying data technologies as neutral instruments towards an uncertain future. To navigate the emerging social and ethical implications of smart cities, citizens need to be included as experts on how they experience the city and what they find important in it. Specifically, we consider citizen engagement to be meaningful when it is embedded in the innovation processes of Responsible Innovation. This governance framework prescribes inclusive, anticipatory, reflexive, and responsive innovation processes to better align emerging technologies to societal wants and needs. Despite numerous citizen engagement initiatives in the smart city, however, citizens are hardly engaged in a meaningful way because the smart city vision makes it difficult to identify what is at stake, to include a broad range of publics, and to connect engagement outcomes to ongoing technological trajectories. The literature suggests that some of these challenges may be addressed with art-based citizen engagement methods. Yet, even though art-based engagement methods are increasingly used to engage citizens on controversial technologies, little is known about how it works and why. The aim of this thesis is, therefore to support Responsible Innovation in the smart city by examining the conditions for, as well as the processes and outcomes of, art-based citizen engagement. To this end, we performed two literature studies and three case studies. The literature studies explored the concept of responsible innovation, and the practice of art-based public engagement, respectively. The case studies followed an action-oriented methodology, which means that we developed and tested various theatre-based interventions in ‘smart city’ Amsterdam together with artists, smart city innovators, and citizens in vulnerable positions. “Art-based” in these case studies mainly takes the form of theatrical interventions, which are complemented with methods from interaction design and social research. In these case studies, the research team members doubled not only as social scientist and public engagement organizer, but also as interaction designer or theatre maker. Our findings suggest that the main contribution of art-based citizen engagement to responsible innovation is to make more tangible what is at stake for whom. In this way, art-based engagement enables the involvement of broader publics, the identification of strained public values, and the articulation of alternative visions of the future. At the same time, art-based engagement makes the challenges of embedding citizen engagement in technological trajectories more pronounced because it highlights the emergent character of citizen engagement as well as the significance of participant experience.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,009 | 0,013 |
| Communication savante | 0,011 | 0,011 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,047 | 0,011 |
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 source (Gemma direct ou Codex distillé), 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 ».