Nora Salas Seoane’s research while affiliated with Barcelona Science Park and other places

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Fig. 14.1 The D-NOSES inclusive engagement model The D-NOSES phases for the pilot case studies, plus the recommendations and tools to meet inclusiveness in stakeholder engagement in citizen science initiatives, have been co-created in the D-NOSES Consortium (particularly through partners Mapping for Change, Ideas for Change, and Ibercivis). Partners Mapping for Change and Ibercivis have benefitted from additional funding from two Short Term Scientific Missions under the COST Action CA15212 to work on the development of the D-NOSES engagement model, amongst other topics of interest
Fig. 14.2 Female participation according to DITOs event type
Fig. 14.3 Percentage of female participation in events per country. No relevant data for Austrian policy round table in the reporting period. Note the scaling between 30% and 65%
Inclusiveness and Diversity in Citizen Science
  • Chapter
  • Full-text available

January 2021

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61 Citations

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Sabina García Peter

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Nora Salas Seoane

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An ‘inclusive citizen science’ practice encourages engagement from all members of society, whatever their social status, sociocultural origin, gender, religious affiliation, literacy level, or age. In this chapter we will first address the question of inclusiveness in citizen science and how this is tackled. We will analyse the current situation of a number of projects and initiatives within the Citizen Science COST Action CA15212 and the Horizon 2020 SwafS programme, examine the data, and discuss the main factors that encourage or hinder inclusiveness. We will offer recommendations for a possible plural participation in citizen science activities and reflect on how research is improved when diverse citizens are used as in-the-field experts. We will demonstrate how research questions can be fine-tuned and how research impacts are enhanced through citizen participation, with a focus on gender representation. Bottlenecks can occur when considering inclusiveness in citizen science, including in data interpretation, tasks that require long-term participation, and tasks that have specific language and intermediation requirements.

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... Most importantly, the nonprofessional participants tend to represent a very limited segment of the public, hobbyist volunteers from affluent and highly educated backgrounds. Paleco et al. (2021) have thus called for measures making CS more inclusive with regards to socio-economic background, education, age, race and gender. Another concern is the neoliberal preoccupation in science that views citizen scientists merely as data sources, as non-paid voluntary labour and as endusers (Strasser et al. 2019). ...

Reference:

Enabling engagement and activism through co-creative citizen science: insights from three years of school projects on multilingualism
Inclusiveness and Diversity in Citizen Science