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Low-Income Data Diaries - How "Low-Tech" Data Experiences Can Inspire Accessible Data Skills and Tool Design

Authors: David Selassie Opoku;

Low-Income Data Diaries - How "Low-Tech" Data Experiences Can Inspire Accessible Data Skills and Tool Design

Abstract

How would you communicate a data visualisation through radio or remotely teach data journalism to a team of freelance journalists with access to 1GB RAM laptops and spotty internet? How does a civic technologist without access to a credit card get access to cloud services for her community contracts monitoring app? How do you explain the importance of data privacy to a community of farmers who could not complete basic school. [Hopefully in 2020], most people will not deny the transformative power of data literacy in the digital age. Whether you’re a journalist, a business owner, a government official, an activist, a researcher or a student, knowing how to access the right data, transform them into information and leverage its insights for decision-making and action has become a life skill. Take a journey with me as we travel to and alongside several data community members working in low-income context and hear experiences of how their “low-tech” (LOW-TECHnical knowledge and LOW-TECHnological tools/resources) contexts, are elevating and challenging gaps in the current data community and driving opportunities to rethink and shape how the data community can make data skills and tools accessible to more.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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14
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