PARTICIPATORY REACTIVATION OF PUBLIC SPACE: BRIDGING COMMUNITY ENGAGEMENT AND INNOVATIVE LEARNING. A CASE STUDY IN MILAN'S NOLO NEIGHBORHOOD
Notice bibliographique
Résumé
This paper reflects on how the transformative potential of public spaces can catalyze collaboration between universities and peripheral contexts. Starting from the role of reactivated disused urban spaces towards fostering social innovation in neighborhood as well as new forms of experimental learning for university students, it presents the ongoing case study of an interstitial space regenerated by a research team to become a meeting ground between students and the local community. Off Campus Nolo (OCN) is one of four Off Campus spaces of the Politecnico di Milano, an initiative promoted by the Social Responsibility Projects Service that aims to bring teaching and research into direct contact with marginalized territories. OCN is in the Nolo neighborhood of Milan, a dynamic, responsive, and contradictory area, and is part of its Municipal covered Market. There we developed "OUT. Il Cortile Sociale" (OUT): an interstitial space reactivated through a collaborative effort between the university, the municipality administration and local associations. Despite its transformative potential, the Municipal Market courtyard was a disused space, serving as a garbage collection area. In 2023 OCN and the Polimi DESIS Lab research team supported its regeneration and reactivation, guiding three local associations in signing a “Patto di Collaborazione” (Collaboration Pact) with the Municipality to take care of the space over time. After a light spatial renovation, OUT was inaugurated and local associations, in synergy with OCN, took charge of animating it with social, artistic, and cultural activities. Today OUT is an accessible public space with a flexible layout capable of hosting various types of activities and local events. The paper presents the methodology applied in the courtyard reactivation and the actors involved, subsequently delving into the activities that generated interactions between Politecnico di Milano students and the local community. In particular, the study focuses on three key activities conducted in this space, which differ in the level of informal involvement of students and local actors: 1. The “Designing in a Multispecies World” Design Course (Politecnico di Milano, School of Design, A.Y. 2023-2024): the courtyard, together with OCN, became the headquarter for multidisciplinary students exploring the neighborhood and presenting to local community their projects. 2. The "Ab-OUT green" event during Milano Green Week 2023: a co-design and participatory setup action for greenery within the courtyard that involved neighborhood residents to foster a sense of stewardship and responsibility towards the courtyard, with a formative moment that involved residents, Politecnico students, and local schools. 3. A meeting with the “Service Design Drink Milan” community, where the courtyard became an opportunity to weave new relationships by exchanging experiences and knowledge. Analyzing these activities, the paper highlights the added value of such hybrid experiences in accessible public spaces, which connect academic learning with community engagement. Additionally, the role of OCN in conducting responsible research and innovative teaching, returning a social public space to the local community and experimenting with new methods of engagement and learning for students, is discussed. The findings suggest that spaces like OUT. Il Cortile Sociale can enhance educational outcomes, promote inclusivity and strengthen university-community ties.
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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 | 0,004 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,020 | 0,017 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,011 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».