Greg Newman

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—Data quality is a primary concern for researchers employing a public participation in scientific research (PPSR) or " citizen science " approach. This mode of scientific collaboration relies on contributions from a large, often unknown population of volunteers with variable expertise. In a survey of PPSR projects, we found that most projects employ(More)
Species distribution models are frequently used to predict species occurrences in novel conditions, yet few studies have examined the consequences of extrapolating locally collected data to regional landscapes. Similarly, the process of using regional data to inform local prediction for species distribution models has not been adequately evaluated. Using(More)
Predicting current and potential species distributions and abundance is critical for managing invasive species, preserving threatened and endangered species, and conserving native species and habitats. Accurate predictive models are needed at local, regional, and national scales to guide field surveys, improve monitoring, and set priorities for conservation(More)
Citizen science projects have the potential to advance science by increasing the volume and variety of data, as well as innovation. Yet this potential has not been fully realized, in part because citizen science data are typically not widely shared and reused. To address this and related challenges, we built (see, a customizable(More)
The Funding section incorrectly states that " the authors received no specific funding for this work. " The authors would like to correct the statement as follows: Funding: YW was supported by the NSF grant 1430508. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Copyright: © 2015(More)
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