Agricultural innovation is increasingly recognized as a complex and multi-actor process, in which the adoption of new practices depends not only on technical feasibility but also on social, psychological, and institutional factors. This doctoral research explores how farmers, scientists, and other stakeholders collaborate within participatory research projects aimed at fostering innovation in agricultural practices. It investigates the mechanisms that support or hinder meaningful stakeholder collaboration, and it develops tools to better understand and enhance these dynamics. The thesis is articulated in three interconnected studies. The first study is a scoping review of 34 peer-reviewed participatory research projects focused on agricultural innovation. It maps how participation is structured, the theoretical frameworks applied, and the barriers and enablers identified by the authors. Findings reveal a strong heterogeneity in how participation is framed and implemented, and suggest that deeper collaboration is associated with increased reporting of psychosocial challenges, highlighting the need for more nuanced tools to support these processes. The second study applies the situational analysis methodology to the case of bamboo cultivation in Italy as an innovative, allochthonous crop. Through 17 in-depth interviews with farmers, scientists, and other stakeholders, this study investigates the motivations, values, and relational dynamics that shape decisions to adopt or reject innovation. The results emphasize the role of trust, identity, and symbolic meaning in shaping participation, showing how innovation is interpreted not only as a technical opportunity, but also as a social and emotional process. Building on these insights, the third study develops and pilot-tests the CoFarm CS, a coding scheme for analyzing collaborative group dynamics in participatory research settings. The framework was applied to two multi-stakeholder meetings and allowed the identification of patterns in verbal interactions related to three dimensions: technical, cognitive, and relational. The tool offers both an analytical lens for researchers and a practical resource for facilitators, enabling reflection on group functioning and supporting real-time adjustments in moderation strategies. Ultimately, this thesis underscores the importance of bridging hard and soft sciences to create inclusive innovation frameworks. By grounding its findings in empirical evidence across multiple levels of analysis, it provides actionable recommendations for future participatory agricultural projects.
L'innovazione agricola è sempre più riconosciuta come un processo complesso e multi-attore, in cui l'adozione di nuove pratiche dipende non solo dalla fattibilità tecnica, ma anche da fattori sociali, psicologici e istituzionali. Questa Tesi di Dottorato esplora come agricoltori, scienziati e altri stakeholder collaborano all'interno di progetti di ricerca partecipativa finalizzati a promuovere l'innovazione nelle pratiche agricole. Indaga i meccanismi che favoriscono o ostacolano una collaborazione significativa tra gli stakeholder e sviluppa strumenti per comprendere e migliorare queste dinamiche. La tesi si articola in tre studi interconnessi. Il primo studio è una scoping review di 34 progetti di ricerca partecipativa peer-reviewed focalizzati sull'innovazione agricola. Identifica le modalità di partecipazione, i framework teorici applicati e le barriere e i facilitatori individuati dagli autori. I risultati evidenziano una forte eterogeneità nel modo in cui la partecipazione è concepita e implementata e suggeriscono che una collaborazione più profonda è associata a una maggiore segnalazione di sfide psicosociali, sottolineando la necessità di strumenti più sfumati a supporto di questi processi. Il secondo studio applica la metodologia dell'analisi situazionale al caso della coltivazione del bambù in Italia come coltura innovativa e alloctona. Attraverso 17 interviste approfondite con agricoltori, scienziati e altri stakeholder, questo studio esplora le motivazioni, i valori e le dinamiche relazionali che influenzano le decisioni di adottare o rifiutare l'innovazione. I risultati evidenziano il ruolo della fiducia, dell'identità e del significato simbolico nel modellare la partecipazione, mostrando come l'innovazione venga interpretata non solo come un'opportunità tecnica, ma anche come un processo sociale ed emotivo. Sulla base di questi spunti, il terzo studio sviluppa e testa il CoFarm CS, uno schema di codifica per analizzare le dinamiche di gruppo collaborativo nei contesti di ricerca partecipativa. Il framework è stato applicato a due incontri multi-attore e ha permesso di individuare pattern nelle interazioni verbali legati a tre dimensioni: tecnica, cognitiva e relazionale. Lo strumento vuole offrire sia una lente analitica per i ricercatori che una risorsa pratica per i facilitatori, consentendo una riflessione sul funzionamento del gruppo e supportando aggiustamenti in tempo reale nelle strategie di moderazione. In definitiva, questa tesi sottolinea l'importanza di integrare hard e soft sciences per creare framework di innovazione inclusivi. Basandosi su evidenze empiriche raccolte su più livelli di analisi, fornisce raccomandazioni operative per i futuri progetti partecipativi in ambito agricolo.
Paleologo, Michele, PROMOTING DIALOGUE AND ENGAGEMENT BETWEEN SCIENCE AND FARMERS FOR COLLABORATIVE INNOVATION: A PARTICIPATORY PROJECT IN THE FIELD OF BAMBOO CULTIVATION, Graffigna, Guendalina, Università Cattolica del Sacro Cuore MILANO:Ciclo XXXVII [https://hdl.handle.net/10807/312139]
PROMOTING DIALOGUE AND ENGAGEMENT BETWEEN SCIENCE AND FARMERS FOR COLLABORATIVE INNOVATION: A PARTICIPATORY PROJECT IN THE FIELD OF BAMBOO CULTIVATION
Paleologo, Michele
2025
Abstract
Agricultural innovation is increasingly recognized as a complex and multi-actor process, in which the adoption of new practices depends not only on technical feasibility but also on social, psychological, and institutional factors. This doctoral research explores how farmers, scientists, and other stakeholders collaborate within participatory research projects aimed at fostering innovation in agricultural practices. It investigates the mechanisms that support or hinder meaningful stakeholder collaboration, and it develops tools to better understand and enhance these dynamics. The thesis is articulated in three interconnected studies. The first study is a scoping review of 34 peer-reviewed participatory research projects focused on agricultural innovation. It maps how participation is structured, the theoretical frameworks applied, and the barriers and enablers identified by the authors. Findings reveal a strong heterogeneity in how participation is framed and implemented, and suggest that deeper collaboration is associated with increased reporting of psychosocial challenges, highlighting the need for more nuanced tools to support these processes. The second study applies the situational analysis methodology to the case of bamboo cultivation in Italy as an innovative, allochthonous crop. Through 17 in-depth interviews with farmers, scientists, and other stakeholders, this study investigates the motivations, values, and relational dynamics that shape decisions to adopt or reject innovation. The results emphasize the role of trust, identity, and symbolic meaning in shaping participation, showing how innovation is interpreted not only as a technical opportunity, but also as a social and emotional process. Building on these insights, the third study develops and pilot-tests the CoFarm CS, a coding scheme for analyzing collaborative group dynamics in participatory research settings. The framework was applied to two multi-stakeholder meetings and allowed the identification of patterns in verbal interactions related to three dimensions: technical, cognitive, and relational. The tool offers both an analytical lens for researchers and a practical resource for facilitators, enabling reflection on group functioning and supporting real-time adjustments in moderation strategies. Ultimately, this thesis underscores the importance of bridging hard and soft sciences to create inclusive innovation frameworks. By grounding its findings in empirical evidence across multiple levels of analysis, it provides actionable recommendations for future participatory agricultural projects.File | Dimensione | Formato | |
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