Data Activism and Social Change by Miren Gutiérrez

Author:Miren Gutiérrez
Language: eng
Format: epub, pdf
Publisher: Springer International Publishing, Cham

The Attributes of Proactive Data Activist Organisations

Proactive data activist organisations tend to work in alliances (e.g. either big data sets are too large or social problems are too complex to be dealt with by a single individual). ‘Works in alliance’ seems to be a feature of proactive data activists. But what else can be said about them?

Eleven attributes emanating from real cases have been identified here as the most frequent, and codes have been assigned to each of them. To determine the concentration of the characteristics in each case, I have set up a range, from 1 to 3, in which 3 is the maximum. Then, I compare the findings with the classifications offered before to determine what attributes are more frequent for each type of proactive data activist organisation. All proactive data activist organisations examined are granted values for more than one feature, indicating that although they tend to specialise, they have no qualms about crossing lines separating areas of action. The non-assignment of a value means the attribute is absent.

The results are shown in Table 3.2. The usefulness of this exercise is that when comparing an organisation that ‘works in alliance’ with another that does not, distinctions can be made. This type of categorisation allows the extraction of multifaceted reflections too. For example, if an initiative is totally dedicated to transferring skills (value level 3), sometimes provides funds to catalyse the creation of data projects (value level 2), occasionally generates data visualisations (value level 1) and often provides match-making opportunities between organisations (value level 2), it can then be categorised as a ‘skills transferrer’ that also is something of a ‘catalyst’. This is the case for DataKind .Table 3.2 Intensity of attributes in proactive data activist initiatives

(Source Elaboration by the author)

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