Dimensioning Data Marginalization: Social Indicators Monitoring
In: Development: journal of the Society for International Development (SID), Band 64, Heft 1-2, S. 119-128
ISSN: 1461-7072
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In: Development: journal of the Society for International Development (SID), Band 64, Heft 1-2, S. 119-128
ISSN: 1461-7072
Citizen science has been motivated by several perspectives, including increased efficiency in data collection and distributed analysis, democratizing knowledge production, making science more responsive to community needs, and improving the representation of marginalized populations in public data. Despite the potential of citizen science to achieve social justice agendas through a data-intensive and data-driven participatory scientific enquiry, scholarship in critical data studies offers several problematizations of data-based practices, highlighting risks of exclusion and inequality. To understand the extent to which citizen science supports and challenges forms of injustice, this study used a "data justice" analytical framework to critically explore the assemblages of citizen science. We examined four citizen science cases with different levels of citizen engagement, intended outcomes, and data systems. The analysis suggests instances of injustice occurring throughout the data processes of the citizen science cases across the dimensions of procedural, instrumental, rights-based, structural, and distributive data justice.
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In: Journal of human rights and social work, Band 3, Heft 1, S. 44-51
ISSN: 2365-1792
In: International journal of public administration in the digital age: IJPADA, Band 6, Heft 3, S. 1-22
ISSN: 2334-4539
One of the challenges for implementing Sustainable Development Goals (SDGs) is the measurement of indicators that represent progress towards such goals. Measuring such progress enables data-driven decision-making and management of SDG-relevant projects and strategies. The premise of this research is that measuring such indicators depends on measuring so-called means of implementation, i.e. activities that directly contribute to the achievement of SDGs. Building on this premise, this article studies how the measurement of digital government (DG) can contribute to the measurement of SDGs. In particular, how the indicators originating in three DG measurement instruments can inform the SDG indicators. The main finding is an alignment matrix, showing how the DG indicators contribute with varying level of specificity to the measurement of 10 SDG indicators.
In: CoDesign, Band 16, Heft 1, S. 29-44
ISSN: 1745-3755
Participatory Design (PD) methods serve a dual purpose of facilitating the achievement of superior design artifacts by connecting the designers and developers with their end-users, as well as catalyzing democratic engagement and empowerment of the end-users. These complementary goals of engaging and empowering individuals, who not only use the designed products but are also affected by these artifacts, have proven elusive to achieve in most cases. In this paper, we discuss a PD engagement with the staff of a community-based organization (CBO) towards developing a technology tool supporting their homeless outreach services. We undertake a critical qualitative inquiry, using a Situational Analysis analytic strategy to analyze the data reflecting on the complex dynamics of democratic engagement and participation, as well as empowerment in PD. The paper further unpacks the varied dependencies and relations between the elements and the discursive constructions prevalent in the situation of a PD session. It also presents a mapping of the various PD activities against levels of critical reflection.1Full text at ACM
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