Citizen Science

Citizen science leverages volunteer contributions to address large-scale data challenges in scientific research, primarily focusing on data collection, annotation, and analysis. Current research emphasizes the integration of machine learning, particularly deep convolutional neural networks and support vector machines, to improve data processing efficiency and accuracy, often within a framework of human-in-the-loop optimization. This approach significantly enhances the scalability and impact of scientific endeavors across diverse fields, from ecology and environmental monitoring to medical image analysis and astronomy, by providing large, high-quality datasets otherwise unattainable through traditional methods.