利用“大数据”:探索南非开普敦民间社会组织数据战略的解放潜力

N. Odendaal
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引用次数: 7

摘要

南非市政当局的智慧城市战略以发展主义为基础,寻求利用技术的力量来改善治理。德班和开普敦等城市已经采用了以基础设施为主导的方法,寻求利用国家主导的宽带“骨干”发展,使边缘化社区能够接入最后一英里的信息通信技术。随着大数据的出现,信息通信技术-地方政府领域的行动者范围已经扩大,包括与信息技术跨国公司和管理顾问建立伙伴关系,以简化市政官僚程序,使数据处理成为可能,并有助于提高效率。一个重要的驱动因素是日益迫切需要加速提供基本服务,同时通过提高效率(例如,在处理发展申请方面)鼓励投资和发展。“仪表盘城市主义”正变得越来越明显,它与南非地方政府管理体系中嵌入的指标和绩效监控体系非常吻合。过度依赖这些数量方面的危险在于,它可能会使这个被认为是世界上最不平等的城市之一的分歧永久化。在探索性研究的基础上,本章探讨了民间社会组织挑战“仪表板城市主义”假设的策略,并为更全面地利用大数据和深化和情境化的城市体验做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Appropriating “Big Data”: Exploring the Emancipatory Potential of the Data Strategies of Civil Society Organizations in Cape Town, South Africa
The smart city strategies of municipalities in South Africa have been grounded in developmentalism, seeking to harness the power of technology to enable improved governance. Cities such as Durban and Cape Town have embraced infrastructure-led approaches that seek to use state-mediated broadband “backbone” development to enable last-mile ICT access to marginalized communities. With the advent of big data, the range of actors in the ICT-local government terrain has broadened to include partnerships with IT-multinationals and management consultants to streamline municipal bureaucratic procedures, enable data processing, and contribute to greater efficiency. An important driver is the increasingly urgent need to accelerate the delivery of essential services while also encouraging investment and development through greater efficacy (e.g., in processing development applications). A “dashboard urbanism” is becoming evident that fits well with the system of indicators and performance monitoring that is embedded in the managerial South Africa’s local government system. The danger of an overreliance on these quantitative aspects is that it may perpetuate divides in what is considered to be one of the most unequal cities in the world. Based on exploratory research, this chapter explores strategies used by civil society organizations to challenge the assumptions of “dashboard urbanism” and contribute a more rounded appropriation of big data and a deepened and contextualized urban experience.
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