A review of citizen science and community-based environmental monitoring: issues and opportunities

By C. Conrad, Krista G. Hilchey. Environmental Monitoring & Assessment, 2011

1,342 citations recorded by the source corpus.

Subfields: Ecological Modeling, Genetics, Social Psychology

View Paper: https://www.semanticscholar.org/paper/6405013db4716e40ac2ef51679bb63d7da2296ef

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. C. Hmelo‐Silver
2. Andrea Wiggins
3. Michael Sinclair
4. Francis L. W. Ratnieks
5. Heisawn Jeong
6. R. Griffiths
7. A. Valentini
8. Mihail Garbuzov

In Genetics

1. C. Hmelo‐Silver
2. Andrea Wiggins
3. Francis L. W. Ratnieks
4. Heisawn Jeong
5. A. Valentini
6. A. Swanson
7. Tony Dejean
8. Tom Wenseleers

In Social Psychology

1. C. Hmelo‐Silver
2. Andrea Wiggins
3. Heisawn Jeong
4. R. Griffiths
5. A. Swanson

Citations in the corpus

• Assessing data quality in citizen science (preprint) (2016, background): “Most types of bias found in citizen science datasets are also found in professionally produced datasets and can be accommodated using existing statistical tools.”
• Seven Affordances of Computer-Supported Collaborative Learning: How to Support Collaborative Learning? How Can Technologies Help? (2016, positive): “Citizen science is a growing movement whereby citizens, including students, participate in scientific research alongside professional researchers in their efforts to monitor, track, and respond to issues in the community (Conrad & Hilchey, 2011; Jordan et al., in press).”
• Using eDNA to develop a national citizen science-based monitoring programme for the great crested newt (Triturus cristatus) (2015, background): “Volunteer survey programmes are growing in popularity but face organisational, data collection and data use issues (Conrad and Hilchey, 2011).”
• Passive crowdsourcing of social media in environmental research: A systematic map (2019, background): “The term refers to data that is collected and made available to researchers by nonprofessionals and citizen organizations, as opposed to professional scientists and government agencies (Conrad and Hilchey, 2011).”
• Data reliability in citizen science: learning curve and the effects of training method, volunteer background and experience on identification accuracy of insects visiting ivy flowers (2016, background): “…amounts of mostly free labour, citizen science makes certain types of research possible, such as ecological studies that collect data over large areas or time-scales (reviewed in Devictor, Whittaker & Beltrame 2010; Dickinson, Zuckerberg & Bonter 2010; Conrad & Hilchey 2011; Dickinson et al. 2012).”