Beyond digital access as a human right in cities: proposing an integrated, multi-dimensional approach
Notice bibliographique
Résumé
An estimated 68% of the world’s population is expected to live in cities by 20501. The rapid development of emerging technologies, pressures from global crises, and the introduction of "Smart City" strategies have resulted in an acceleration of urban digital transformation. While high internet access and mobile network coverage rates may leave us with an impression that many cities have achieved universe digital access, these statistics only tell part of the story. The COVID-19 pandemic, climate and political crises, conflicts, forced displacement, and deepening economic inequality have all exacerbated and further amplified existing digital divides, rendering access more difficult for systematically marginalised and excluded communities. Urban digital divides and access issues undermine sustainable development, including UN Sustainable Development Goal 11, which aims to "make cities and human settlements inclusive, safe, resilient and sustainable". A lack of universal, comprehensive digital access can prevent people from accessing information, healthcare, education, social services, employment, governance forums, and public space. It is important for cities to take a critical approach to urban digital transformation to avoid techno-solutionism, algorithmic bias, tech-facilitated rights violations and surveillance, digital divides and apartheids, and disinformation. While some jurisdictions have formalised internet access as a legal right, digital divides and access issues continue to persist at the local level. The United Nations University Operating Unit on Policy-Driven Electronic Governance (UNU-EGOV) and Digital Future Society (DFS), as part of a shared commitment to promoting a deeper understanding of the intersection of technology and society, have co-developed the following whitepaper as a contribution to the work of the SDG11 Global Council. Six cities — Barcelona, Johannesburg, Mexico City, Riga, Singapore, and Toronto — were selected as case studies, representing diverse geographic contexts, to highlight both challenges and opportunities for achieving meaningful, universal digital access in cities. While some cities are beginning to adopt people-centred and human rights-based approaches, these approaches need to be complimented by a more comprehensive, systematic approach to digital access that prioritises the wellbeing, rights, and agency of people, communities, and the environment to help ensure cities do not widen digital divides. The paper advocates for the adoption of an intersectional, human rights-based, systems approach and includes a list of recommended actions for city officials, policymakers, and community leaders to realise digital access and SDG 11 (making cities inclusive, safe, resilient, and sustainable). Overall, the paper aims to guide local governments and civil society in how they can approach their work towards realising SDG 11 in tandem with facilitating more equitable and just urban digital transformations.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,148 | 0,129 |
| Études des sciences et des technologies | 0,001 | 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) | 0,001 | 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
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