AIMC Topic: Citizen Science
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Automated tick classification using deep learning and its associated challenges in citizen science.
Scientific reports
Jul 10, 2025
Lyme borreliosis and tick-borne encephalitis significantly impact public health in Europe, transmitted primarily by endemic tick species. The recent introduction of exotic tick species into northern Europe via migratory birds, imported animals, and t...
Broadscale reconnaissance of coral reefs from citizen science and deep learning.
Environmental monitoring and assessment
Jun 27, 2025
Coral reef managers require various forms of data. While monitoring is typically the preserve of scientists, there is an increasing need to collect larger scale, up-to-date data to prioritise limited conservation resources. Citizen science combined w...
Assessing the impact of traffic restriction interventions on school air quality: a citizen science-based modelling study.
Environmental research
Apr 7, 2025
Air pollution poses a significant threat to human health, especially for the vulnerable groups such as children. Given that schools are central to their daily lives, ensuring good air quality in these environments is crucial. This study evaluates the...
The Promise and Perils of Artificial Intelligence in Advancing Participatory Science and Health Equity in Public Health.
JMIR public health and surveillance
Feb 14, 2025
Current societal trends reflect an increased mistrust in science and a lowered civic engagement that threaten to impair research that is foundational for ensuring public health and advancing health equity. One effective countermeasure to these trends...
Making sense of fossils and artefacts: a review of best practices for the design of a successful workflow for machine learning-assisted citizen science projects.
PeerJ
Feb 13, 2025
Historically, the extensive involvement of citizen scientists in palaeontology and archaeology has resulted in many discoveries and insights. More recently, machine learning has emerged as a broadly applicable tool for analysing large datasets of fos...
Machine learning in healthcare citizen science: A scoping review.
International journal of medical informatics
Dec 19, 2024
OBJECTIVES: This scoping review aims to clarify the definition and trajectory of citizen-led scientific research (so-called citizen science) within the healthcare domain, examine the degree of integration of machine learning (ML) and the participatio...
Deep learning models map rapid plant species changes from citizen science and remote sensing data.
Proceedings of the National Academy of Sciences of the United States of America
Sep 5, 2024
Anthropogenic habitat destruction and climate change are reshaping the geographic distribution of plants worldwide. However, we are still unable to map species shifts at high spatial, temporal, and taxonomic resolution. Here, we develop a deep learni...
Quantification of litter in cities using a smartphone application and citizen science in conjunction with deep learning-based image processing.
Waste management (New York, N.Y.)
Jun 28, 2024
Cities are a major source of litter pollution. Determination of the abundance and composition of plastic litter in cities is imperative for effective pollution management, environmental protection, and sustainable urban development. Therefore, here, ...
Multispecies deep learning using citizen science data produces more informative plant community models.
Nature communications
May 24, 2024
In the age of big data, scientific progress is fundamentally limited by our capacity to extract critical information. Here, we map fine-grained spatiotemporal distributions for thousands of species, using deep neural networks (DNNs) and ubiquitous ci...
Illuminating patterns of firefly abundance using citizen science data and machine learning models.
The Science of the total environment
Apr 10, 2024
As insect populations decline in many regions, conservation biologists are increasingly tasked with identifying factors that threaten insect species and developing effective strategies for their conservation. One insect group of global conservation c...
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