Beyond high-tech versus low-tech: A tentative framework for sustainable urban data governance
Dados Bibliográficos
| AUTOR(ES) | |
|---|---|
| AFILIAÇÃO(ÕES) | Berkman Klein Center for Internet & Society, Harvard University, Cambridge, MA, USA, Ragnar Nurkse Department of Innovation and Governance, Tallinn University of Technology (TalTech), Tallinn, Estonia, New Dexterity Research Group, Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand |
| ANO | 2023 |
| TIPO | Artigo |
| PERIÓDICO | Big Data & Society |
| ISSN | 2053-9517 |
| E-ISSN | 2053-9517 |
| DOI | 10.1177/20539517231180583 |
| CITAÇÕES | 1 |
| ADICIONADO EM | 2025-08-18 |
Resumo
Technological imaginaries have been increasingly shaping the future perceptions of cities. From artificial intelligence and distributed ledger technology to three-dimensional printing, high-tech artifacts are very often the premises of such imaginaries. However, technology does not only refer to artifacts. Technology also encompasses the processes around the artifacts: how the artifacts are designed, manufactured, used, maintained, and disposed. From this perspective, high-tech visions often disregard problems that pertain to resource extraction, labor exploitation, energy use, and material flows. On the contrary, low-tech and localized alternatives incite lower impact and higher resilience visions. However, they fail to offer solutions of the desired scale and intensity. To address this tension, we provide an alternative vision for mid-tech: a balance between the opposite extreme qualities of low-tech and high-tech. Through a case of open-source prosthetics, we illustrate how to synergistically combine the efficiency and versatility of high-tech solutions with the potential for autonomy and resilience that low-tech offers. Then we discuss a mid-tech approach for distributed ledger technology from a city as a license lens. We provide connections with existing or conceptual applications to show how distributed ledger technology could support more socially and ecologically responsible data practices for city governance.