scholarly journals Analyzing indoor mycobiomes through a large‐scale citizen science study in Norway

2021 ◽  
Author(s):  
Pedro M. Martin‐Sanchez ◽  
Eva‐Lena F. Estensmo ◽  
Luis N. Morgado ◽  
Sundy Maurice ◽  
Ingeborg B. Engh ◽  
...  
Keyword(s):  
Citizen Science ◽  
Large Scale ◽  
Science Study

scholarly journals The epistemic culture in an online citizen science project: Programs, antiprograms and epistemic subjects

2018 ◽  
Vol 48 (4) ◽  
pp. 564-588 ◽  
Author(s):  
Dick Kasperowski ◽  
Thomas Hillman
Keyword(s):  
Citizen Science ◽  
Distributed Cognition ◽  
Large Scale ◽  
Science Project ◽  
Large Sets ◽  
The Galaxy ◽  
Epistemic Culture ◽  
Classification Of Images ◽  
Citizen Science Project

In the past decade, some areas of science have begun turning to masses of online volunteers through open calls for generating and classifying very large sets of data. The purpose of this study is to investigate the epistemic culture of a large-scale online citizen science project, the Galaxy Zoo, that turns to volunteers for the classification of images of galaxies. For this task, we chose to apply the concepts of programs and antiprograms to examine the ‘essential tensions’ that arise in relation to the mobilizing values of a citizen science project and the epistemic subjects and cultures that are enacted by its volunteers. Our premise is that these tensions reveal central features of the epistemic subjects and distributed cognition of epistemic cultures in these large-scale citizen science projects.

scholarly journals Combining citizen science and weather radar data to study large‐scale bird movements

Ibis ◽  
2020 ◽  
Author(s):  
Nadja Weisshaupt ◽  
Teemu Lehtiniemi ◽  
Jarmo Koistinen
Keyword(s):  
Citizen Science ◽  
Large Scale ◽  
Weather Radar ◽  
Radar Data

scholarly journals Evaluation of an Easy-to-Install, Low-Cost Dendrometer Band for Citizen-Science Tree Research

2019 ◽  
Vol 117 (4) ◽  
pp. 317-322
Author(s):  
Michael G Just ◽  
Steven D Frank
Keyword(s):  
Citizen Science ◽  
Urban Areas ◽  
Large Scale ◽  
Low Cost ◽  
Acer Rubrum ◽  
Cost Effective ◽  
Stem Growth ◽  
Growth Monitoring ◽  
Eastern United States ◽  
Highly Correlated

AbstractTree-stem growth is an important metric for evaluating many ecological and silvicultural research questions. However, answering these questions may require monitoring growth on many individual trees that span changing environments and geographies, which can incur significant costs. Recently, citizen science has been successfully employed as a cost-effective approach to collect data for large-scale projects that also increases scientific awareness. Still, citizen-science-led tree-growth monitoring requires the use of tools that are affordable, understandable, and accurate. Here, we compare an inexpensive, easy-to-install dendrometer band to two other bands that are more expensive with more complex installations. We installed a series of three dendrometers on 31 red maples (Acer rubrum) in two urban areas in the eastern United States. We found that the stem-growth measurements reported by these dendrometers were highly correlated and, thus, validate the utility of the inexpensive band.

scholarly journals A nationwide assessment of plastic pollution in the Danish realm using citizen science

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Kristian Syberg ◽  
Annemette Palmqvist ◽  
Farhan R. Khan ◽  
Jakob Strand ◽  
Jes Vollertsen ◽  
...  
Keyword(s):  
Citizen Science ◽  
Large Scale ◽  
Public Awareness ◽  
Decision Makers ◽  
Plastic Pollution ◽  
Political Decision ◽  
Pollution Research ◽  
Beach Litter ◽  
Citizen Science Project ◽  
Scientific Survey

Abstract Plastic pollution is considered one of today’s major environmental problems. Current land-based monitoring programs typically rely on beach litter data and seldom include plastic pollution further inland. We initiated a citizen science project known as the Mass Experiment inviting schools throughout The Danish Realm (Denmark, Greenland and the Faeroe Islands) to collect litter samples of and document plastic pollution in 8 different nature types. In total approximately 57,000 students (6–19 years) collected 374,082 plastic items in 94 out of 98 Danish municipalities over three weeks during fall 2019. The Mass Experiment was the first scientific survey of plastic litter to cover an entire country. Here we show how citizen science, conducted by students, can be used to fill important knowledge gaps in plastic pollution research, increase public awareness, establish large scale clean-up activities and subsequently provide information to political decision-makers aiming for a more sustainable future.

Large-scale citizen science improves assessment of risk posed by wind farms to bats in southern Scotland

2017 ◽  
Vol 215 ◽  
pp. 61-71 ◽  
Author(s):  
Stuart E. Newson ◽  
Hazel E. Evans ◽  
Simon Gillings ◽  
David Jarrett ◽  
Robert Raynor ◽  
...  
Keyword(s):  
Citizen Science ◽  
Large Scale ◽  
Wind Farms

scholarly journals A Citizen-Science Study Documents Environmental Exposures and Asthma Prevalence in Two Communities

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Samantha Eiffert ◽  
Yomi Noibi ◽  
Stephen Vesper ◽  
Jonathan Downs ◽  
Florence Fulk ◽  
...  
Keyword(s):  
Citizen Science ◽  
Low Income ◽  
Environmental Exposures ◽  
Positive Association ◽  
Dust Sample ◽  
Asthma Prevalence ◽  
Public Officials ◽  
Science Study ◽  
Logistic Regression Models ◽  
Unit Increase

A citizen-science study was conducted in two low-income, flood-prone communities in Atlanta, Georgia, in order to document environmental exposures and the prevalence of occupant asthma. Teams consisting of a public-health graduate student and a resident from one of the two communities administered a questionnaire, inspected residences for mold growth, and collected a dust sample for quantifying mold contamination. The dust samples were analyzed for the 36 molds that make up the Environmental Relative Moldiness Index (ERMI). Most residents (76%) were renters. The median duration of residence was 2.5 years. Although only 12% of occupants reported a history of flooding, 46% reported at least one water leak. Homes with visible mold (35%) had significantly (P<0.05) higher mean ERMI values compared to homes without (14.0 versus 9.6). The prevalence of self-reported, current asthma among participants was 14%. In logistic regression models controlling for indoor smoking, among participants residing at their current residence for two years or less, a positive association was observed between asthma and the homes’ ERMI values (adjusted odds ratio per unit increase in ERMI = 1.12, 95% confidence intervals (CI): 1.01–1.25; two-tailedP=0.04). Documentation of the exposures and asthma prevalence has been presented to the communities and public officials. Community-based organizations have taken responsibility for planning and implementing activities in response to the study findings.

Design of Microplastics Citizen Science Kit

2020 ◽  
Author(s):  
Rachael Hughson-Gill
Keyword(s):  
Data Collection ◽  
Citizen Science ◽  
Large Scale ◽  
Positive Impact ◽  
Research Process ◽  
Freshwater Ecosystems ◽  
Freshwater Systems ◽  
The Public ◽  
Plastic Bags ◽  
The Impact

&lt;p&gt;Microplastics are an ever-increasing problem. Every river that was tested in a recent study found the presence of microplastics, with 80% of all plastic in the ocean coming from upstream. Despite this, there is little understanding into the abundance of plastic, its characteristics and the full impact that is it having on marine, freshwater ecosystems and wider ecological systems.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Current fresh water monitoring does not consider the fluid dynamics of rivers, is difficult to use and is inaccessible to the wider public. My project will focus on creating a product that allows for the large-scale data collection of microplastic through citizen science. Allowing groups of people to analyse their local natural environment for the presence and abundance of microplastics within the water. This method of data collection could provide information on a scale that is not possible with traditional methods and would allow for the comparison between freshwater systems. This comparison is fundamental to begin to fill the knowledge gaps around the understanding of microplastics.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Inaccessibility of monitoring to the public is not just through tools but also through the current communication of data with research rarely breaking into the public domain. Citizen science offers not just an improvement in understanding but also offers an opportunity for engagement with the public body. Increasing awareness of the impact of habits round plastic through the sharing of monitoring data can generate the much-needed change on both an individual and policy level to address the problem from the source. This method of change through public opinion can be seen to have an effect on freshwater systems through microbeads ban, plastic bags, plastic straws and industrial pollution regulation.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Through the creation of this product a multidisciplinary approach that blends engineering and design practices is implemented. The wholistic approach to creation is something that is fundamental in the success of tools and therefore the success of the research that is implemented through them. A tool such as this whose function is within the public engagement of its use - increased awareness, as well as the outcome of its use - microplastics data, is required to have an engaging user experience as well as data integrity implemented through engineering design.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;This project offers an opportunity to show the importance of the design process within research tools to aid the research process and the positive impact that can come from it.&lt;/p&gt;

scholarly journals Candid Critters: Challenges and Solutions in a Large-Scale Citizen Science Camera Trap Project

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Monica Lasky ◽  
Arielle Parsons ◽  
Stephanie Schuttler ◽  
Alexandra Mash ◽  
Lincoln Larson ◽  
...  
Keyword(s):  
Citizen Science ◽  
Large Scale ◽  
Camera Trap

scholarly journals Estimating disease vector population size from citizen science data

2021 ◽  
Vol 18 (184) ◽  
Author(s):  
Tam Tran ◽  
W. Tanner Porter ◽  
Daniel J. Salkeld ◽  
Melissa A. Prusinski ◽  
Shane T. Jensen ◽  
...  
Keyword(s):  
Data Collection ◽  
Citizen Science ◽  
Large Scale ◽  
Species Abundance ◽  
Natural World ◽  
Tick Population ◽  
Science Data ◽  
Tick Abundance ◽  
Vector Population ◽  
Public Datasets

Citizen science projects have the potential to address hypotheses requiring extremely large datasets that cannot be collected with the financial and labour constraints of most scientific projects. Data collection by the general public could expand the scope of scientific enquiry if these data accurately capture the system under study. However, data collection inconsistencies by the untrained public may result in biased datasets that do not accurately represent the natural world. In this paper, we harness the availability of scientific and public datasets of the Lyme disease tick vector to identify and account for biases in citizen science tick collections. Estimates of tick abundance from the citizen science dataset correspond moderately with estimates from direct surveillance but exhibit consistent biases. These biases can be mitigated by including factors that may impact collector participation or effort in statistical models, which, in turn, result in more accurate estimates of tick population sizes. Accounting for collection biases within large-scale, public participation datasets could update species abundance maps and facilitate using the wealth of citizen science data to answer scientific questions at scales that are not feasible with traditional datasets.

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