Towards Sustainable Futures - Using strategic foresight in the design of transformative sustainability
Notice bibliographique
Résumé
The unprecedented scale of disruption brought about by the COVID-19 crisis has brightly illuminated the dysfunction in many current social systems, adding to the litany of pressing planetary issues like mass extinctions, melting ice caps and biosphere loss. It’s widely recognized that ‘business as usual’ and associated incremental, slowed-paced change by political, business and social actors to address climate and social crisis are not sustainable nor sufficient options for the future health and wellbeing of the planet and most of its population. Innovative new ways to design and implement low carbon systems and socially inclusive solutions are required. \n \nFor organizations looking to navigate waves of disruption and create opportunities to ‘build back better’, what are the current and emerging design frameworks for sustainability? What conditions and mindsets are standing in the way of a transition to a low carbon, socially equitable future? And what might be some of the areas of opportunity for organizations seeking transformative sustainability in the future? \n \nThis research project explores how organizations might respond strategically to these challenges through the practice of foresight. Strategic foresight is a way of designing and building futures by understanding change through the lens of emerging trends and longtime drivers of change. It allows participants to generate strategies that address the critical uncertainties of tomorrow, and select actions today that may help shape desired futures and outcomes. \n \nThrough a literature review, the authors explore the interconnected nature of the sustainability challenge in Canada and what’s holding change back. They unearth emerging visions, systems and mindsets of sustainability that can help build a preferable future. Taking an action research approach, insights from the literature review informed a real-world case study during which the researchers designed and facilitated a strategic foresight process with TREC Renewable Energy Coop, a nonprofit leader in community-scale renewable energy and social finance in Toronto, Canada. The aim of the case study is to better understand how strategic foresight frameworks and practices can help organizations gain deeper insights into what the future may hold, and use those insights to develop robust transition capacities that will help guide them from legacy operating systems and mindsets to more transformative and sustainable business models and solutions. \n \nThe paper maps the insights gained through the research journey about how strategic foresight might be used by both sustainability and foresight practitioners. For organizations that are curious about the potential power of foresight to design and execute for sustainable futures, the case study section of the paper illuminates the potential. The paper concludes with findings and design principles generated by the dynamic praxis-oriented research process, and ideas for possible next steps and future research to help build the future we need.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,001 | 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 ».