Abstract: Crowd-sourced environmental observations are increasingly being considered as having the potential to enhance the spatial and temporal resolution of current data streams from terrestrial and areal sensors. The rapid diffusion of ICTs during the past decades has facilitated the process of data collection and sharing by the general public and has resulted in the…

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Abstract: Citizen science is a form of collaboration that engages non-professionals as contributors to scientific research, typically through the processes of gathering, transforming or analyzing data. To date, research has documented examples of hugely successful citizen science projects, such as Zooniverse and eBird, but citizen science also includes hundreds of smaller citizen science and functionally…

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This article is a must-read for anyone thinking about “going mobile” with citizen science projects. The meticulous work shows that while the use of a smart-phone app may draw more engagement, it can lead to “casual quality data”. Another example of the usual tradeoff in citizen science – data quality against engagement.  -LFF Abstract: Technology-supported…

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Abstract: The development of the geospatial web (GeoWeb) over the past decade opened up opportunities for collaborative mapping and large scale data collection at unprecedented scales. Projects such as OpenStreetMap, which engage hundreds of thousands of volunteers in different aspects of mapping physical and human-made objects, to eBird, which records millions of bird observations from…

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Abstract: This article summarizes the Citizen Cyberlab (CCL) Summit, which took place at University of Geneva on 17-18th September 2015, and introduces the special issue on “Learning and Creativity in Citizen Science”. As the final event of a 3-year EU FP7 CCL project, the Summit sought to disseminate project results and reflect on the issue…

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Editor’s Choice: A fast-moving area of citizen science is in tackling “Big Data” problems by coupling the ability of machine algorithms to quickly process well-defined images with the human ability to discern patterns in images that are not as well-defined. This article describes Gravity Spy – a recent project that is at the vanguard of exploring the…

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Editor’s Choice: One of the more interesting issues in data collection citizen science is how to know whether a “zero counts” measurement really means nothing was there. This paper describes a Bayesian inference method to obtain occupancy probabilities providing a potential solution to this issue.  — LFF — Abstract: Occupancy monitoring is particularly suitable for…

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Abstract: Ecological and environmental citizen-science projects have enormous potential to advance scientific knowledge, influence policy, and guide resource management by producing datasets that would otherwise be infeasible to generate. However, this potential can only be realized if the datasets are of high quality. While scientists are often skeptical of the ability of unpaid volunteers to…

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Abstract: The use of citizen science to address global and local environmental challenges will depend on demonstrated evidence that it can lead to meaningful contributions to science, management, and social action. Systematic evaluation of citizen science projects is important yet lacking to date. We developed an evaluation tool and used it to conduct a meta-analysis…

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In a unique project, researchers at the Icahn School of Medicine at Mount Sinai have crowdsourced the annotation and analysis of a large number of gene expression profiles from the National Center for Biotechnology Information’s (NCBI) Gene Expression Omnibus (GEO). More than 70 volunteers from 25 countries helped Mount Sinai researchers analyze the data, enabling…

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