Abdul Rohman, Dyah Pitaloka, E. Erlina, Duy Dang, Ade Prastyani
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Disability data and its situational and contextual irrationalities in the Global South
The inconsistent implementation of disability rights in crisis responses such as the recent COVID-19 pandemic has illuminated the double difficulty that persons with disabilities (PwD) must face. Ableism remains the basis for pandemic responses, leading to a range of irrationalities in collecting and using disability data during critical times. This commentary identifies situational and contextual rationalities in disability data collection and use in Global South. Through vignettes from Indonesia and Vietnam, this commentary illuminates the socio-technical and cultural infrastructure that perpetuates the obscurity of disability rights in the pandemic responses in, respectively, the largest democratic and socialist-communist countries in Southeast Asia. In addition to better listening to the voice of PwD, stronger engagement of organizations of PwD in policy making and programming is advocated for enabling more equitable pandemic preparedness, response, and recovery plans to manifest in future.
期刊介绍:
Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government.
BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices.
BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.