Using Citizen Science to Analyze Underwater Videos in the Great Lakes
The goal of this project is to evaluate a web-based citizen science approach to analyzing underwater videos in the Great Lakes to determine substrate type and for presence/absence of invasive species, such as round gobies (fish) or dreissenid mussels. A citizen science approach to underwater video analysis is cost-effective and allows for individual videos to be analyzed by multiple viewers. Multiple analysts increase the precision of the analysis and reduces bias but is more expensive if done by trained professional analysts. Citizen scientists will be trained and tested for accuracy using a subset of underwater videos. The relative precision, accuracy and cost-effectiveness of the citizen science approach will be compared to expert video interpretations.
Geographic Scope: National participation, video & photographs from Great Lakes
Project Status: Active - not recruiting volunteers
Participation Tasks: Classification or tagging, Identification, Observation,
Start Date: 8/1/2017
Project Contact: email@example.com
Federal Government Sponsor:
Other Federal Government Sponsor:
Fields of Science: Animals, Ecology and environment, Ocean/water and marine
Intended Outcomes: In addition to increasing our understanding of habitat characteristics and invasive species in the Great Lakes nearshore, this project aims to address the following questions - A) Can a citizen science approach to underwater video analysis meet the information needs of managers? B) How does the data produced by citizen scientists compare to the data produced by experts in terms of precision, accuracy, and relevancy to management needs? What effects if any does video quality and attribute selection have when comparing analysis of experts and citizen scientists?