Cornell University

Global citizen science project enabling birdwatchers to record observations, contributing to a quality-controlled database for scientific research and conservation.

Cornell Vet Purrfect Weight helps cat owners create personalized feeding plans based on veterinarian assessments to manage pet weight loss.

Merlin Bird ID helps the public identify birds using photos, sounds, and questions, powered by machine learning trained on citizen science.

NestWatch enables volunteers and professionals to report North American bird nest observations, contributing data to avian ecology and conservation research databases.

Citizen science app for North Americans reporting winter bird feeder observations, providing invaluable data for studying environmental impacts on populations.

Cornell preVet Tracker lets aspiring veterinarians document required animal and veterinary experiences, including hours, duties, and supervisor information for applications.

Cornell Vet preVet Tracker helps aspiring veterinarians log required animal and clinical experience hours for veterinary college applications.