Statistical solutions for error and bias in global citizen science datasets

Exploring the Global Adoption of Citizen Science

In recent years there has been a growing interest toward the application of Web-based citizen science platforms. Such platforms use crowdsourcing techniques to support scientific advancements, and in several cases, have lead to new scientific discoveries which were not originally considered. Our work explores the highly successful Web-based citizen science platform, Zooniverse, a crowdsourcing ...

Citizen Science for Citizen Access to Law

Over 2014, the Cornell University Legal Information Institute and the Australian National University worked with users of the Cornell LII site in a citizen science project to collect over 43,000 crowdsourced assessments of the readability of legal and other sentences. Readers (“citizen scientists”) on legislative pages of the LII site were asked to rate passages from the United States Code and ...

Cloud Computing for Citizen Science

A behavioural ecology approach to understand volunteer surveying for citizen science datasets

Among other outcomes, volunteer surveys are useful for evaluating conservation success and determining priorities for management actions. However, biases that can originate from untargeted and weakly structured surveys can undermine the utility of the data gathered. Identifying and rectifying biases and problems with such data require an understanding of the behaviour of volunteers. We explored...

on some bayesian statistical models in actuarial science with emphasis on claim count

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