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

Safari Science: Testing the Feasibility and Reliability of Tourists as Citizen Scientists in East African Protected Areas By

Testing the Value of Citizen Science for Roadkill Studies: A Case Study from South Africa

Roads impact wildlife through a range of mechanisms from habitat loss and decreased landscape connectivity to direct mortality through wildlife-vehicle collisions (roadkill). These collisions have been rated amongst the highest modern risks to wildlife. With the development of “citizen science” projects, in which members of the public participate in data collection, it is now possible to monito...

Machine Learning and Citizen Science: Opportunities and Challenges of Human-Computer Interaction

Background and Aim: In processing large data, scientists have to perform the tedious task of analyzing hefty bulk of data. Machine learning techniques are a potential solution to this problem. In citizen science, human and artificial intelligence may be unified to facilitate this effort. Considering the ambiguities in machine performance and management of user-generated data, this paper aims to...

On the Effectiveness of Crowd Sourcing Avian Nesting Video Analysis at Wildlife@Home

Wildlife@Home is citizen science project developed to provide wildlife biologists a way to swiftly analyze the massive quantities of data that they can amass during video surveillance studies. The project has been active for two years, with over 200 volunteers who have participated in providing observations through a web interface where they can stream video and report the occurrences of variou...

Citizen Science – Effective Strategies and Stakeholder Involvement ROAD WATCH IN THE PASS: WEB-BASED CITIZEN INVOLVEMENT IN WILDLIFE DATA COLLECTION

The successful development of wildlife-transportation mitigation strategies requires access to timely and accurate information on the spatial and temporal movement patterns of wildlife. Unfortunately, conventional long term monitoring programs can be expensive and time consuming. In addition, expert-based approaches often marginalize local participation and knowledge. Alternative approaches to ...