DesPat: Smartphone-Based Object Detection for Citizen Science and Urban Surveys

Smartphone-powered citizen science for bioacoustic monitoring

An initial classifier considers the main frequency component of the call, centered around 13.5 kHz and spanning mainly between 11 and 17 kHz. The ratio between this and a range where little noise is present (8–9 kHz) is a measure of the acoustic energy of the cicada call, as can be defined as: • Only cicada native to the UK • Only present in the New Forest • High pitched call at ~ 13.5 kHz • Di...

Safari Science: assessing the reliability of citizen science data for wildlife surveys

science data for wildlife surveys Cara Steger* , Bilal Butt and Mevin B. Hooten Natural Resource Ecology Lab, Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523-1499, USA; School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48103, USA; and U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit,...

Lights, Camera…Citizen Science: Assessing the Effectiveness of Smartphone-Based Video Training in Invasive Plant Identification

The rapid growth and increasing popularity of smartphone technology is putting sophisticated data-collection tools in the hands of more and more citizens. This has exciting implications for the expanding field of citizen science. With smartphone-based applications (apps), it is now increasingly practical to remotely acquire high quality citizen-submitted data at a fraction of the cost of a trad...

Citizen Science for Citizen Access to Law

Over 2014, the Cornell University Legal Information Institute and the Australian National University worked with users of the Cornell LII site in a citizen science project to collect over 43,000 crowdsourced assessments of the readability of legal and other sentences. Readers (“citizen scientists”) on legislative pages of the LII site were asked to rate passages from the United States Code and ...

Cloud Computing for Citizen Science