Citizen Science & Scientific Crowdsourcing – week 3 – Participation inequality

One of the aspects that fascinates me about the nature of participation in citizen science and crowdsourcing is the nature of participation and in particular participation inequality. As I’ve noted last week, when you look at large scale systems, you expected to see it in them (so Google Local Guides is exhibiting 95:5:0.005 ratio). I knew … Continue reading Citizen Science & Scientific Crowdsourcing – week 3 – Participation inequality

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New paper – Exploring Engagement Characteristics and Behaviours of Environmental Volunteers

A new paper that is based on the PhD work of Valentine Seymour is out. Valentine has been researching the patterns of volunteering in environmental projects at the organisation The Conservation Volunteers. In the paper, we draw parallels between the activities of environmental volunteers and citizen science participants. The analysis demonstrates that the patterns of … Continue reading New paper – Exploring Engagement Characteristics and Behaviours of Environmental Volunteers

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Published: Why is Participation Inequality Important?

I’ve mentioned the European Handbook for Crowdsourced Geographic Information in the last post, and explained how it came about. My contribution to the book is a chapter titled ‘Why is Participation Inequality Important?‘. The issue of participation inequality, also known as the 90:9:1 rule, or skewed contribution, has captured my interest for a while now. … Continue reading Published: Why is Participation Inequality Important?

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Participatory [Citizen] Science

‘Citizen Science as Participatory Science‘ is one of the most popular posts that I have published here. The post is the core section of a chapter that was published in 2013 (the post itself was written in 2011). For the first European Citizen Science Association conference I was asked to give a keynote on the second … Continue reading Participatory [Citizen] Science

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Assertions on crowdsourced geographic information & citizen science #3

Following the two previous assertions, namely that: ‘you can be supported by a huge crowd for a very short time, or by few for a long time, but you can’t have a huge crowd all of the time (unless data collection is passive)’ (original post here) And ‘All information sources are heterogeneous, but some are more […]

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