Publications
While our publications are all listed here, they are easier to browse on our research page.
Pre-slaughter mortality of farmed shrimp
This is the third report in Rethink Priorities’ Shrimp Welfare Sequence, a series that addresses whether and how to best protect the welfare of shrimp. After outlining the welfare threats farmed shrimp may face, this report investigates the effect of these welfare threats on pre-slaughter mortality.
Welfare considerations for farmed shrimp
This is the second report in Rethink Priorities’ Shrimp Welfare Sequence. The first report estimated the scale of shrimp farming. This report examines the welfare threats that these individuals face.
Drawing attention to invasive Lymantria dispar dispar spongy moth outbreaks as an important, neglected issue in wild animal welfare
The massive scale of invasive (e.g., non-native) Lymantria dispar dispar (spongy moth) outbreaks represents an unappreciated wild animal welfare issue.
Paths to reducing rodenticide use in the U.S.
This post is the third installment in the Rodenticide Reduction sequence. This report describes and ranks interventions to reduce rodenticide use in the U.S. according to their expected impact, neglectedness, and tractability.
Eradicating rodenticides from U.S. pest management is less practical than we thought
This post is the second installment in the Rodenticide Reduction sequence. This report explores the reasons why rodenticides are used, under what circumstances they could be replaced, and whether they are replaceable with currently available alternatives.
Monitoring wild animal welfare via vocalizations
This article describes how various types and features of vocalizations could act as welfare metrics for wild animals and how a remote acoustic sensing network could be used to collect this type of data non-invasively. Animal vocalizations vary with emotional state (due to physiological changes). Certain types of vocalizations are only produced in certain situations (e.g. alarm calls), which could give us information about the lives of wild animals. Vocalizations can be recorded from the wild remotely, using microphones placed in the field. Machine learning techniques could be applied to recognize the species and analyze welfare-indicating features in the vocalizations, or recognize what type of call it is. This may help indicate the welfare status of whole groups of populations of wild animals. Studying affective vocalizations could give insight into animal welfare in many different contexts, not just remote sensing.